This is supplementary information for a series of data.cdc.gov dataset snapshots taken in January 2025.
Methodology notes:        
"In January 2025, the sitemaps.xml files for data.cdc.gov were used to come up with a list of dataset homepages served by that host."
"From there, the datasets themselves were downloaded (download_filename, downloaded_ts). The socrata id was inferred from the dataset homepage's URL, and the downloaded filename became: socrata-id_download-timestamp-as-unix-epoch_name-downloaded-file-name."
"To construct the rest of this documentation, socrata metadata was queried for the id. If found, the socrata name metadata became the dataset_name column, and the socrata_description became the description column."
"All the socrata metadata is a single string in the additional metadata column. The socrata metadata was queried on Feb. 13. 2025. If the socrata metadata query was unsuccessful, the ""UNKN_SOC_NAME"" name was used."
"The dataset homepages include metadata about the datasets themselves and change over time. The Internet Archive has snapshots of these homepages, and links to the snpshots are in the Internet Archive snapshots column."
"The data are ordered by dataset name and may contain more than one dataset endpoint, identified by socrata id."
""
The dataset snapshots are available at: https://cdcdotgovarchive.org/CDC_datasets/.
The script that built this is here: https://github.com/YakShavingAsAService/data.cdc.gov-metadata 
dataset name,socrata id,download filename,downloaded ts,dataset homepage,description,Internet Archive snapshots,addtl socrata metadata
1998-2022 Serotype Data for Invasive Pneumococcal Disease Cases by Age Group from Active Bacterial Core surveillance,qvzb-qs6p,qvzb-qs6p_1736714344.140275_1998-2022_Serotype_Data_for_Invasive_Pneumococcal_Disease_Cases_by_Age_Group_from_Active_Bacterial_Core_surveillance_20250112.csv.gz,2025-01-12 20:39:04 UTC,https://data.cdc.gov/Public-Health-Surveillance/1998-2022-Serotype-Data-for-Invasive-Pneumococcal-/qvzb-qs6p,"CDC monitors invasive bacterial infections that cause bloodstream infections, sepsis, and meningitis in persons living in the community through Active Bacterial Core surveillance (ABCs). ABCs conducts laboratory- and population-based surveillance for invasive pneumococcal disease (IPD). ABCs serotype data are used to measure the impact of vaccine use in the United States on vaccine-type IPD. 

This table reports IPD case counts in the ABCs catchment area by serotype for years 1998 through 2022. Cases are grouped into the following mutually exclusive age groups: age <2 years old, age 2–4 years old, age 5–17 years old, age 18–49 years old, age 50–64 years old, and age ≥65 years old.

ABCs methods and surveillance areas reporting IPD cases has changed over time. Given these changes, trends in serotype distribution by year and age group should be interpreted with caution. Additional information on ABCs methods and surveillance population is available at <a href=""https://www.cdc.gov/abcs/methodology/index.html"">https://www.cdc.gov/abcs/methodology/index.html</a>.

Analyze and visualize data using the ABCs Bact Facts Interactive Data Dashboard at <a href=""https://www.cdc.gov/abcs/bact-facts/data-dashboard.html?CDC_AAref_Val=https://www.cdc.gov/abcs/bact-facts-interactive-dashboard.html"">https://www.cdc.gov/abcs/bact-facts-interactive-dashboard</a>.",,"{'name': '1998-2022 Serotype Data for Invasive Pneumococcal Disease Cases by Age Group from Active Bacterial Core surveillance', 'id': 'qvzb-qs6p', 'description': 'CDC monitors invasive bacterial infections that cause bloodstream infections, sepsis, and meningitis in persons living in the community through Active Bacterial Core surveillance (ABCs). ABCs conducts laboratory- and population-based surveillance for invasive pneumococcal disease (IPD). ABCs serotype data are used to measure the impact of vaccine use in the United States on vaccine-type IPD. \n\nThis table reports IPD case counts in the ABCs catchment area by serotype for years 1998 through 2022. Cases are grouped into the following mutually exclusive age groups: age <2 years old, age 2–4 years old, age 5–17 years old, age 18–49 years old, age 50–64 years old, and age ≥65 years old.\n\nABCs methods and surveillance areas reporting IPD cases has changed over time. Given these changes, trends in serotype distribution by year and age group should be interpreted with caution. Additional information on ABCs methods and surveillance population is available at <a href=""https://www.cdc.gov/abcs/methodology/index.html"">https://www.cdc.gov/abcs/methodology/index.html</a>.\n\nAnalyze and visualize data using the ABCs Bact Facts Interactive Data Dashboard at <a href=""https://www.cdc.gov/abcs/bact-facts/data-dashboard.html?CDC_AAref_Val=https://www.cdc.gov/abcs/bact-facts-interactive-dashboard.html"">https://www.cdc.gov/abcs/bact-facts-interactive-dashboard</a>.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/1998-2022-Serotype-Data-for-Invasive-Pneumococcal-/qvzb-qs6p'}"
2013-2014 PHAP Associates by State,uarv-cqnu,uarv-cqnu_1736726166.057087_2013-2014_PHAP_Associates_by_State_20250112.csv.gz,2025-01-12 23:56:06 UTC,https://data.cdc.gov/dataset/2013-2014-PHAP-Associates-by-State/uarv-cqnu,The map illustrates the total number of 2013 and 2014 PHAP associates in each state and U.S. territory.,,"{'name': '2013-2014 PHAP Associates by State', 'id': 'uarv-cqnu', 'description': 'The map illustrates the total number of 2013 and 2014 PHAP associates in each state and U.S. territory.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/dataset/2013-2014-PHAP-Associates-by-State/uarv-cqnu'}"
2020 Final Assisted Reproductive Technology (ART) Patient and Cycle Characteristics,knu9-e7pg,knu9-e7pg_1736732918.356703_2020_Final_Assisted_Reproductive_Technology__ART__Patient_and_Cycle_Characteristics_20250113.csv.gz,2025-01-13 01:48:38 UTC,https://data.cdc.gov/Assisted-Reproductive-Technology-ART-/2020-Final-Assisted-Reproductive-Technology-ART-Pa/knu9-e7pg,"ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by “ClinicID.” ClinicID is a unique identifier for each clinic that reported cycles. The Patient and Cycle Characteristics dataset summarizes the types of ART services performed and the kinds of patients who received ART procedures in a specific clinic. Please note patient characteristics are presented per cycle rather than per patient. As a result, patients who had more than one ART cycle within the reporting year are represented more than once.",,"{'name': '2020 Final Assisted Reproductive Technology (ART) Patient and Cycle Characteristics', 'id': 'knu9-e7pg', 'description': 'ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by “ClinicID.” ClinicID is a unique identifier for each clinic that reported cycles. The Patient and Cycle Characteristics dataset summarizes the types of ART services performed and the kinds of patients who received ART procedures in a specific clinic. Please note patient characteristics are presented per cycle rather than per patient. As a result, patients who had more than one ART cycle within the reporting year are represented more than once.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Assisted-Reproductive-Technology-ART-/2020-Final-Assisted-Reproductive-Technology-ART-Pa/knu9-e7pg'}"
2020 Final Assisted Reproductive Technology (ART) Services and Profiles,92ri-yjps,92ri-yjps_1736734853.149070_2020_Final_Assisted_Reproductive_Technology__ART__Services_and_Profiles_20250113.csv.gz,2025-01-13 02:20:53 UTC,https://data.cdc.gov/Assisted-Reproductive-Technology-ART-/2020-Final-Assisted-Reproductive-Technology-ART-Se/92ri-yjps,"ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by “ClinicID.” ClinicID is a unique identifier for each clinic that reported cycles. The Services and Profiles dataset provides an overview of clinic services, the clinic’s contact information, location, the medical director’s name, and summary statistics.",,"{'name': '2020 Final Assisted Reproductive Technology (ART) Services and Profiles', 'id': '92ri-yjps', 'description': 'ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by “ClinicID.” ClinicID is a unique identifier for each clinic that reported cycles. The Services and Profiles dataset provides an overview of clinic services, the clinic’s contact information, location, the medical director’s name, and summary statistics.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Assisted-Reproductive-Technology-ART-/2020-Final-Assisted-Reproductive-Technology-ART-Se/92ri-yjps'}"
2020 Final Assisted Reproductive Technology (ART) Success Rates,3x54-3thk,3x54-3thk_1736728017.204766_2020_Final_Assisted_Reproductive_Technology__ART__Success_Rates_20250113.csv.gz,2025-01-13 00:26:57 UTC,https://data.cdc.gov/Assisted-Reproductive-Technology-ART-/2020-Final-Assisted-Reproductive-Technology-ART-Su/3x54-3thk,"ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by “ClinicID.” ClinicID is a unique identifier for each clinic that reported cycles. The Success Rates dataset contains success rates for ART cycles started during the year indicated. Since ART success depends on whether patients are using their own eggs or donor eggs, success rates are included separately for these two groups. Success rates for patients using their own eggs are shown per intended retrieval, per actual retrieval, and per transfer. These success rates are reported as cumulative success rates, which take into account transfers that occur within 1 year after an egg retrieval. Since ART success depends on whether patients are using ART for the first time or had prior ART cycles, users can examine success rates for all “Patients using their own eggs” or for “Patients with no prior ART using their own eggs.” For new patients using ART for the first time, the success rates are also shown after 1, 2, or all intended egg retrievals during the reporting year. In addition, the average number of transfers per intended retrieval and the average number of intended retrievals per live-birth delivery are shown. Success rates for ART cycles that involve the transfer of embryos created from donor eggs or donated embryos are shown and are not cumulative. They are based on donor cycles started in the year indicated that had embryo transfers, regardless of when the donor eggs were retrieved. Success rates in this section are not presented by patient age group because previous data show that an intended parent’s age does not substantially affect success when using donor eggs or donated embryos. The success rates are presented by types of embryos and eggs used in the transfer. This dataset excludes cycles that were considered research—that is, cycles performed to evaluate new procedures.",,"{'name': '2020 Final Assisted Reproductive Technology (ART) Success Rates', 'id': '3x54-3thk', 'description': 'ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by “ClinicID.” ClinicID is a unique identifier for each clinic that reported cycles. The Success Rates dataset contains success rates for ART cycles started during the year indicated. Since ART success depends on whether patients are using their own eggs or donor eggs, success rates are included separately for these two groups. Success rates for patients using their own eggs are shown per intended retrieval, per actual retrieval, and per transfer. These success rates are reported as cumulative success rates, which take into account transfers that occur within 1 year after an egg retrieval. Since ART success depends on whether patients are using ART for the first time or had prior ART cycles, users can examine success rates for all “Patients using their own eggs” or for “Patients with no prior ART using their own eggs.” For new patients using ART for the first time, the success rates are also shown after 1, 2, or all intended egg retrievals during the reporting year. In addition, the average number of transfers per intended retrieval and the average number of intended retrievals per live-birth delivery are shown. Success rates for ART cycles that involve the transfer of embryos created from donor eggs or donated embryos are shown and are not cumulative. They are based on donor cycles started in the year indicated that had embryo transfers, regardless of when the donor eggs were retrieved. Success rates in this section are not presented by patient age group because previous data show that an intended parent’s age does not substantially affect success when using donor eggs or donated embryos. The success rates are presented by types of embryos and eggs used in the transfer. This dataset excludes cycles that were considered research—that is, cycles performed to evaluate new procedures.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Assisted-Reproductive-Technology-ART-/2020-Final-Assisted-Reproductive-Technology-ART-Su/3x54-3thk'}"
2020 Final Assisted Reproductive Technology (ART) Summary,4yy2-qa9v,4yy2-qa9v_1736732786.581003_2020_Final_Assisted_Reproductive_Technology__ART__Summary_20250113.csv.gz,2025-01-13 01:46:26 UTC,https://data.cdc.gov/Assisted-Reproductive-Technology-ART-/2020-Final-Assisted-Reproductive-Technology-ART-Su/4yy2-qa9v,"ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by “ClinicID.” ClinicID is a unique identifier for each clinic that reported cycles. The Summary dataset provides a full snapshot of clinic services and profile, patient characteristics, and ART success rates. It is worth noting that patient medical characteristics, such as age, diagnosis, and ovarian reserve, affect ART treatment’s success. Comparison of success rates across clinics may not be meaningful because of differences in patient populations and ART treatment methods. The success rates displayed in this dataset do not reflect any one patient’s chance of success. Patients should consult with a doctor to understand their chance of success based on their own characteristics.",,"{'name': '2020 Final Assisted Reproductive Technology (ART) Summary', 'id': '4yy2-qa9v', 'description': 'ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by “ClinicID.” ClinicID is a unique identifier for each clinic that reported cycles. The Summary dataset provides a full snapshot of clinic services and profile, patient characteristics, and ART success rates. It is worth noting that patient medical characteristics, such as age, diagnosis, and ovarian reserve, affect ART treatment’s success. Comparison of success rates across clinics may not be meaningful because of differences in patient populations and ART treatment methods. The success rates displayed in this dataset do not reflect any one patient’s chance of success. Patients should consult with a doctor to understand their chance of success based on their own characteristics.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Assisted-Reproductive-Technology-ART-/2020-Final-Assisted-Reproductive-Technology-ART-Su/4yy2-qa9v'}"
2020-2021 Nationwide Blood Donor Seroprevalence Survey Combined Infection- and Vaccination-Induced Seroprevalence Estimates,wi5c-cscz,wi5c-cscz_1736721102.723553_2020-2021_Nationwide_Blood_Donor_Seroprevalence_Survey_Combined_Infection-_and_Vaccination-Induced_Seroprevalence_Estimates_20250112.csv.gz,2025-01-12 22:31:42 UTC,https://data.cdc.gov/Laboratory-Surveillance/2020-2021-Nationwide-Blood-Donor-Seroprevalence-Su/wi5c-cscz,"CDC is collaborating with the National Institutes of Health (NIH), the Food and Drug Administration (FDA), Vitalant Research Institute (VRI), Westat Inc., and numerous blood collection organizations across the United States to conduct a nationwide COVID-19 seroprevalence survey of blood donors. This is the largest nationwide COVID-19 seroprevalence survey to date. De-identified blood samples are tested for antibodies to SARS-CoV-2 to better understand the percentage of people in the United States who have antibodies against SARS-CoV-2 (the virus that causes COVID-19) and to track how this percentage changes over time. Both SARS-CoV-2 infection and COVID-19 vaccines currently used in the United States result in production of anti-spike (anti-S) antibodies but only infection results in production of anti-nucleocapsid (anti-N) antibodies. Combined seroprevalence estimates the proportion of the population with evidence of previous SARS-CoV-2 infection, COVID-19 vaccination, or both. It estimates the proportion of the population with some presumed protection against infection with the virus that causes COVID-19. The term “combined seroprevalence” refers to the combined infection- and vaccination-induced SARS-CoV-2 seroprevalences. This is the population that has  anti-S antibodies, regardless of the presence of anti-N antibodies.

This link connects to a webpage that displays the data from the Nationwide Blood Donor Seroprevalence Survey. It offers an interactive visualization available at https://covid.cdc.gov/covid-data-tracker/#nationwide-blood-donor-seroprevalence

Additional information is available at: https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/blood-bank-serosurvey.html",,"{'name': '2020-2021 Nationwide Blood Donor Seroprevalence Survey Combined Infection- and Vaccination-Induced Seroprevalence Estimates', 'id': 'wi5c-cscz', 'description': 'CDC is collaborating with the National Institutes of Health (NIH), the Food and Drug Administration (FDA), Vitalant Research Institute (VRI), Westat Inc., and numerous blood collection organizations across the United States to conduct a nationwide COVID-19 seroprevalence survey of blood donors. This is the largest nationwide COVID-19 seroprevalence survey to date. De-identified blood samples are tested for antibodies to SARS-CoV-2 to better understand the percentage of people in the United States who have antibodies against SARS-CoV-2 (the virus that causes COVID-19) and to track how this percentage changes over time. Both SARS-CoV-2 infection and COVID-19 vaccines currently used in the United States result in production of anti-spike (anti-S) antibodies but only infection results in production of anti-nucleocapsid (anti-N) antibodies. Combined seroprevalence estimates the proportion of the population with evidence of previous SARS-CoV-2 infection, COVID-19 vaccination, or both. It estimates the proportion of the population with some presumed protection against infection with the virus that causes COVID-19. The term “combined seroprevalence” refers to the combined infection- and vaccination-induced SARS-CoV-2 seroprevalences. This is the population that has  anti-S antibodies, regardless of the presence of anti-N antibodies.\n\nThis link connects to a webpage that displays the data from the Nationwide Blood Donor Seroprevalence Survey. It offers an interactive visualization available at https://covid.cdc.gov/covid-data-tracker/#nationwide-blood-donor-seroprevalence\n\nAdditional information is available at: https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/blood-bank-serosurvey.html', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Laboratory-Surveillance/2020-2021-Nationwide-Blood-Donor-Seroprevalence-Su/wi5c-cscz'}"
2020-2021 Nationwide Blood Donor Seroprevalence Survey Infection-Induced Seroprevalence Estimates,mtc3-kq6r,mtc3-kq6r_1736721051.950046_2020-2021_Nationwide_Blood_Donor_Seroprevalence_Survey_Infection-Induced_Seroprevalence_Estimates_20250112.csv.gz,2025-01-12 22:30:51 UTC,https://data.cdc.gov/Laboratory-Surveillance/2020-2021-Nationwide-Blood-Donor-Seroprevalence-Su/mtc3-kq6r,"CDC is collaborating with the National Institutes of Health (NIH), the Food and Drug Administration (FDA), Vitalant Research Institute (VRI), Westat Inc., and numerous blood collection organizations across the United States to conduct a nationwide COVID-19 seroprevalence survey of blood donors. This is the largest nationwide COVID-19 seroprevalence survey to date. De-identified blood samples are tested for antibodies to SARS-CoV-2 to better understand the percentage of people in the United States who have antibodies against SARS-CoV-2 (the virus that causes COVID-19) and to track how this percentage changes over time. Both SARS-CoV-2 infection and COVID-19 vaccines currently used in the United States result in production of anti-spike (anti-S) antibodies but only infection results in production of anti-nucleocapsid (anti-N) antibodies. Infection-induced seroprevalence estimates the proportion of the population with evidence of previous SARS-CoV-2 infection and refers to the prevalence of the population with both anti-S and anti-N antibodies.

This link connects to a webpage that displays the data from the Nationwide Blood Donor Seroprevalence Survey. It offers an interactive visualization available at https://covid.cdc.gov/covid-data-tracker/#nationwide-blood-donor-seroprevalence

Additional information is available at: https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/blood-bank-serosurvey.html",,"{'name': '2020-2021 Nationwide Blood Donor Seroprevalence Survey Infection-Induced Seroprevalence Estimates', 'id': 'mtc3-kq6r', 'description': 'CDC is collaborating with the National Institutes of Health (NIH), the Food and Drug Administration (FDA), Vitalant Research Institute (VRI), Westat Inc., and numerous blood collection organizations across the United States to conduct a nationwide COVID-19 seroprevalence survey of blood donors. This is the largest nationwide COVID-19 seroprevalence survey to date. De-identified blood samples are tested for antibodies to SARS-CoV-2 to better understand the percentage of people in the United States who have antibodies against SARS-CoV-2 (the virus that causes COVID-19) and to track how this percentage changes over time. Both SARS-CoV-2 infection and COVID-19 vaccines currently used in the United States result in production of anti-spike (anti-S) antibodies but only infection results in production of anti-nucleocapsid (anti-N) antibodies. Infection-induced seroprevalence estimates the proportion of the population with evidence of previous SARS-CoV-2 infection and refers to the prevalence of the population with both anti-S and anti-N antibodies.\n\nThis link connects to a webpage that displays the data from the Nationwide Blood Donor Seroprevalence Survey. It offers an interactive visualization available at https://covid.cdc.gov/covid-data-tracker/#nationwide-blood-donor-seroprevalence\n\nAdditional information is available at: https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/blood-bank-serosurvey.html', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Laboratory-Surveillance/2020-2021-Nationwide-Blood-Donor-Seroprevalence-Su/mtc3-kq6r'}"
2022 Final Assisted Reproductive Technology (ART) Patient and Cycle Characteristics,wrev-kwxu,wrev-kwxu_1736723499.509613_2022_Final_Assisted_Reproductive_Technology__ART__Patient_and_Cycle_Characteristics_20250112.csv.gz,2025-01-12 23:11:39 UTC,https://data.cdc.gov/Assisted-Reproductive-Technology-ART-/2022-Final-Assisted-Reproductive-Technology-ART-Pa/wrev-kwxu,"ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by “ClinicID.” ClinicID is a unique identifier for each clinic that reported cycles. The Patient and Cycle Characteristics dataset summarizes the types of ART services performed and the kinds of patients who received ART procedures in a specific clinic. Please note patient characteristics are presented per cycle rather than per patient. As a result, patients who had more than one ART cycle within the reporting year are represented more than once.",,"{'name': '2022 Final Assisted Reproductive Technology (ART) Patient and Cycle Characteristics', 'id': 'wrev-kwxu', 'description': 'ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by “ClinicID.” ClinicID is a unique identifier for each clinic that reported cycles. The Patient and Cycle Characteristics dataset summarizes the types of ART services performed and the kinds of patients who received ART procedures in a specific clinic. Please note patient characteristics are presented per cycle rather than per patient. As a result, patients who had more than one ART cycle within the reporting year are represented more than once.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Assisted-Reproductive-Technology-ART-/2022-Final-Assisted-Reproductive-Technology-ART-Pa/wrev-kwxu'}"
2022 Final Assisted Reproductive Technology (ART) Services and Profiles,ix4g-rt8v,ix4g-rt8v_1736727357.157733_2022_Final_Assisted_Reproductive_Technology__ART__Services_and_Profiles_20250113.csv.gz,2025-01-13 00:15:57 UTC,https://data.cdc.gov/Assisted-Reproductive-Technology-ART-/2022-Final-Assisted-Reproductive-Technology-ART-Se/ix4g-rt8v,"ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by “ClinicID.” ClinicID is a unique identifier for each clinic that reported cycles. The Services and Profiles dataset provides an overview of clinic services, the clinic’s contact information, location, the medical director’s name, and summary statistics.",,"{'name': '2022 Final Assisted Reproductive Technology (ART) Services and Profiles', 'id': 'ix4g-rt8v', 'description': 'ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by “ClinicID.” ClinicID is a unique identifier for each clinic that reported cycles. The Services and Profiles dataset provides an overview of clinic services, the clinic’s contact information, location, the medical director’s name, and summary statistics.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Assisted-Reproductive-Technology-ART-/2022-Final-Assisted-Reproductive-Technology-ART-Se/ix4g-rt8v'}"
2022 Final Assisted Reproductive Technology (ART) Success Rates,cchw-gdwa,cchw-gdwa_1736713389.562620_2022_Final_Assisted_Reproductive_Technology__ART__Success_Rates_20250112.csv.gz,2025-01-12 20:23:09 UTC,https://data.cdc.gov/Assisted-Reproductive-Technology-ART-/2022-Final-Assisted-Reproductive-Technology-ART-Su/cchw-gdwa,"ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by “ClinicID.” ClinicID is a unique identifier for each clinic that reported cycles. The Success Rates dataset contains success rates for ART cycles started during the year indicated. Since ART success depends on whether patients are using their own eggs or donor eggs, success rates are included separately for these two groups. Success rates for patients using their own eggs are shown per intended retrieval, per actual retrieval, and per transfer. These success rates are reported as cumulative success rates, which take into account transfers that occur within 1 year after an egg retrieval. Since ART success depends on whether patients are using ART for the first time or had prior ART cycles, users can examine success rates for all “Patients using their own eggs” or for “Patients with no prior ART using their own eggs.” For new patients using ART for the first time, the success rates are also shown after 1, 2, or all intended egg retrievals during the reporting year. In addition, the average number of transfers per intended retrieval and the average number of intended retrievals per live-birth delivery are shown. Success rates for ART cycles that involve the transfer of embryos created from donor eggs or donated embryos are shown and are not cumulative. They are based on donor cycles started in the year indicated that had embryo transfers, regardless of when the donor eggs were retrieved. Success rates in this section are not presented by patient age group because previous data show that an intended parent’s age does not substantially affect success when using donor eggs or donated embryos. The success rates are presented by types of embryos and eggs used in the transfer. This dataset excludes cycles that were considered research—that is, cycles performed to evaluate new procedures.",,"{'name': '2022 Final Assisted Reproductive Technology (ART) Success Rates', 'id': 'cchw-gdwa', 'description': 'ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by “ClinicID.” ClinicID is a unique identifier for each clinic that reported cycles. The Success Rates dataset contains success rates for ART cycles started during the year indicated. Since ART success depends on whether patients are using their own eggs or donor eggs, success rates are included separately for these two groups. Success rates for patients using their own eggs are shown per intended retrieval, per actual retrieval, and per transfer. These success rates are reported as cumulative success rates, which take into account transfers that occur within 1 year after an egg retrieval. Since ART success depends on whether patients are using ART for the first time or had prior ART cycles, users can examine success rates for all “Patients using their own eggs” or for “Patients with no prior ART using their own eggs.” For new patients using ART for the first time, the success rates are also shown after 1, 2, or all intended egg retrievals during the reporting year. In addition, the average number of transfers per intended retrieval and the average number of intended retrievals per live-birth delivery are shown. Success rates for ART cycles that involve the transfer of embryos created from donor eggs or donated embryos are shown and are not cumulative. They are based on donor cycles started in the year indicated that had embryo transfers, regardless of when the donor eggs were retrieved. Success rates in this section are not presented by patient age group because previous data show that an intended parent’s age does not substantially affect success when using donor eggs or donated embryos. The success rates are presented by types of embryos and eggs used in the transfer. This dataset excludes cycles that were considered research—that is, cycles performed to evaluate new procedures.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Assisted-Reproductive-Technology-ART-/2022-Final-Assisted-Reproductive-Technology-ART-Su/cchw-gdwa'}"
2022 Final Assisted Reproductive Technology (ART) Summary,9tjt-seye,9tjt-seye_1736717637.747191_2022_Final_Assisted_Reproductive_Technology__ART__Summary_20250112.csv.gz,2025-01-12 21:33:57 UTC,https://data.cdc.gov/Assisted-Reproductive-Technology-ART-/2022-Final-Assisted-Reproductive-Technology-ART-Su/9tjt-seye,"ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by “ClinicID.” ClinicID is a unique identifier for each clinic that reported cycles. The Summary dataset provides a full snapshot of clinic services and profile, patient characteristics, and ART success rates. It is worth noting that patient medical characteristics, such as age, diagnosis, and ovarian reserve, affect ART treatment’s success. Comparison of success rates across clinics may not be meaningful because of differences in patient populations and ART treatment methods. The success rates displayed in this dataset do not reflect any one patient’s chance of success. Patients should consult with a doctor to understand their chance of success based on their own characteristics.",,"{'name': '2022 Final Assisted Reproductive Technology (ART) Summary', 'id': '9tjt-seye', 'description': 'ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by “ClinicID.” ClinicID is a unique identifier for each clinic that reported cycles. The Summary dataset provides a full snapshot of clinic services and profile, patient characteristics, and ART success rates. It is worth noting that patient medical characteristics, such as age, diagnosis, and ovarian reserve, affect ART treatment’s success. Comparison of success rates across clinics may not be meaningful because of differences in patient populations and ART treatment methods. The success rates displayed in this dataset do not reflect any one patient’s chance of success. Patients should consult with a doctor to understand their chance of success based on their own characteristics.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Assisted-Reproductive-Technology-ART-/2022-Final-Assisted-Reproductive-Technology-ART-Su/9tjt-seye'}"
2022–2023 Nationwide Blood Donor Seroprevalence Survey Combined Infection- and Vaccination-Induced Seroprevalence Estimates,ar8q-3jhn,ar8q-3jhn_1736724263.611300_2022_2023_Nationwide_Blood_Donor_Seroprevalence_Survey_Combined_Infection-_and_Vaccination-Induced_Seroprevalence_Estimates_20250112.csv.gz,2025-01-12 23:24:23 UTC,https://data.cdc.gov/Laboratory-Surveillance/2022-2023-Nationwide-Blood-Donor-Seroprevalence-Su/ar8q-3jhn,"CDC is collaborating with Vitalant Research Institute, American Red Cross, and Westat Inc. to conduct a nationwide COVID-19 seroprevalence survey of blood donors. De-identified blood samples are tested for antibodies to SARS-CoV-2 to better understand the percentage of people in the United States who have antibodies against SARS-CoV-2 (the virus that causes COVID-19) and to track how this percentage changes over time. Both SARS-CoV-2 infection and COVID-19 vaccines currently used in the United States result in production of anti-spike (anti-S) antibodies but only infection results in production of anti-nucleocapsid (anti-N) antibodies.
Infection-induced seroprevalence estimates the proportion of the population with antibody evidence of previous SARS-CoV-2 infection and refers to the percent of the population with anti-nucleocapsid antibodies.
Combined infection-Induced and Vaccination-Induced seroprevalence estimates the proportion of the population with antibody evidence of previous SARS-CoV-2 infection, COVID-19 vaccination, or both, and refers to the percent of the population that has anti-spike antibodies, anti-nucleocapsid antibodies, or both.

This link connects to a webpage that displays the data from the Nationwide Blood Donor Seroprevalence Survey. It offers an interactive visualization available at https://covid.cdc.gov/covid-data-tracker/#nationwide-blood-donor-seroprevalence-2022",,"{'name': '2022–2023 Nationwide Blood Donor Seroprevalence Survey Combined Infection- and Vaccination-Induced Seroprevalence Estimates', 'id': 'ar8q-3jhn', 'description': 'CDC is collaborating with Vitalant Research Institute, American Red Cross, and Westat Inc. to conduct a nationwide COVID-19 seroprevalence survey of blood donors. De-identified blood samples are tested for antibodies to SARS-CoV-2 to better understand the percentage of people in the United States who have antibodies against SARS-CoV-2 (the virus that causes COVID-19) and to track how this percentage changes over time. Both SARS-CoV-2 infection and COVID-19 vaccines currently used in the United States result in production of anti-spike (anti-S) antibodies but only infection results in production of anti-nucleocapsid (anti-N) antibodies.\nInfection-induced seroprevalence estimates the proportion of the population with antibody evidence of previous SARS-CoV-2 infection and refers to the percent of the population with anti-nucleocapsid antibodies.\nCombined infection-Induced and Vaccination-Induced seroprevalence estimates the proportion of the population with antibody evidence of previous SARS-CoV-2 infection, COVID-19 vaccination, or both, and refers to the percent of the population that has anti-spike antibodies, anti-nucleocapsid antibodies, or both.\n\nThis link connects to a webpage that displays the data from the Nationwide Blood Donor Seroprevalence Survey. It offers an interactive visualization available at https://covid.cdc.gov/covid-data-tracker/#nationwide-blood-donor-seroprevalence-2022', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Laboratory-Surveillance/2022-2023-Nationwide-Blood-Donor-Seroprevalence-Su/ar8q-3jhn'}"
"2023 Respiratory Virus Response - NSSP Emergency Department Visit Trajectories by State- COVID-19, Flu, RSV, Combined",7mra-9cq9,7mra-9cq9_1736727783.609912_2023_Respiratory_Virus_Response_-_NSSP_Emergency_Department_Visit_Trajectories_by_State-_COVID-19__Flu__RSV__Combined_20250113.csv.gz,2025-01-13 00:23:03 UTC,https://data.cdc.gov/Public-Health-Surveillance/2023-Respiratory-Virus-Response-NSSP-Emergency-Dep/7mra-9cq9,"2023 Respiratory Viruses Response – National Syndromic Surveillance Program Emergency Department Visit Trajectories - COVID-19, Flu, RSV, Combined – by state. This dataset provides the percentage of emergency department patient visits for the specified pathogen of all ED patient visits for the specified geography that were observed for the given week from data submitted to the National Syndromic Surveillance Program (NSSP). In addition, the trend over time both as of the given row date and as of the most current data submitted is characterized as increasing, decreasing or stable to provide awareness of how the weekly trend is changing for the given geographic region.

For the emergency department time series, trajectory classifications reported on the opening page are based on rolling regression model assessments of the slope for each respiratory illness. Weeks with a significant time term (p <0.05) are classified as increasing when the slope is positive and decreasing when the slope is negative. Weeks with a non-significant time term (p ≥ 0.05) are classified as stable. A 3-week moving average is applied to the time series prior to the regression procedure in order to smooth week-to-week variation. 
<br>
For additional information, please see:<a href=""https://www.cdc.gov/ncird/surveillance/respiratory-illnesses/index.html#companion-guide""><b>Companion Guide: NSSP Emergency Department Data on Respiratory Illness</b></a>
<br>
Updated once per week on Fridays.",,"{'name': '2023 Respiratory Virus Response - NSSP Emergency Department Visit Trajectories by State- COVID-19, Flu, RSV, Combined', 'id': '7mra-9cq9', 'description': '2023 Respiratory Viruses Response – National Syndromic Surveillance Program Emergency Department Visit Trajectories - COVID-19, Flu, RSV, Combined – by state. This dataset provides the percentage of emergency department patient visits for the specified pathogen of all ED patient visits for the specified geography that were observed for the given week from data submitted to the National Syndromic Surveillance Program (NSSP). In addition, the trend over time both as of the given row date and as of the most current data submitted is characterized as increasing, decreasing or stable to provide awareness of how the weekly trend is changing for the given geographic region.\n\nFor the emergency department time series, trajectory classifications reported on the opening page are based on rolling regression model assessments of the slope for each respiratory illness. Weeks with a significant time term (p <0.05) are classified as increasing when the slope is positive and decreasing when the slope is negative. Weeks with a non-significant time term (p ≥ 0.05) are classified as stable. A 3-week moving average is applied to the time series prior to the regression procedure in order to smooth week-to-week variation. \n<br>\nFor additional information, please see:<a href=""https://www.cdc.gov/ncird/surveillance/respiratory-illnesses/index.html#companion-guide""><b>Companion Guide: NSSP Emergency Department Data on Respiratory Illness</b></a>\n<br>\nUpdated once per week on Fridays.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/2023-Respiratory-Virus-Response-NSSP-Emergency-Dep/7mra-9cq9'}"
"2023 Respiratory Virus Response - NSSP Emergency Department Visits - COVID-19, Flu, RSV, Combined",vutn-jzwm,vutn-jzwm_1736713426.395234_2023_Respiratory_Virus_Response_-_NSSP_Emergency_Department_Visits_-_COVID-19__Flu__RSV__Combined_20250112.csv.gz,2025-01-12 20:23:46 UTC,https://data.cdc.gov/Public-Health-Surveillance/2023-Respiratory-Virus-Response-NSSP-Emergency-Dep/vutn-jzwm,"2023 Respiratory Virus Response - NSSP Emergency Department Visits - COVID-19, Flu, RSV, Combined
<br>
For additional information, please see:  <a href=""https://www.cdc.gov/ncird/surveillance/respiratory-illnesses/index.html#companion-guide""><b>Companion Guide: NSSP Emergency Department Data on Respiratory Illness</b></a>
<br>",,"{'name': '2023 Respiratory Virus Response - NSSP Emergency Department Visits - COVID-19, Flu, RSV, Combined', 'id': 'vutn-jzwm', 'description': '2023 Respiratory Virus Response - NSSP Emergency Department Visits - COVID-19, Flu, RSV, Combined\n<br>\nFor additional information, please see:  <a href=""https://www.cdc.gov/ncird/surveillance/respiratory-illnesses/index.html#companion-guide""><b>Companion Guide: NSSP Emergency Department Data on Respiratory Illness</b></a>\n<br>', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/2023-Respiratory-Virus-Response-NSSP-Emergency-Dep/vutn-jzwm'}"
"500 Cities: Census Tract-level Data (GIS Friendly Format), 2016 release",5mtz-k78d,5mtz-k78d_1736720059.373741_500_Cities__Census_Tract-level_Data__GIS_Friendly_Format___2016_release_20250112.csv.gz,2025-01-12 22:14:19 UTC,https://data.cdc.gov/500-Cities-Places/500-Cities-Census-Tract-level-Data-GIS-Friendly-Fo/5mtz-k78d,"2014, 2013. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project census tract-level data in GIS-friendly format can be joined with census tract spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-Census-Tract-Boundaries/x7zy-2xmx) in a geographic information system (GIS) to produce maps of 27 measures at the census tract level.",,"{'name': '500 Cities: Census Tract-level Data (GIS Friendly Format), 2016 release', 'id': '5mtz-k78d', 'description': '2014, 2013. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project census tract-level data in GIS-friendly format can be joined with census tract spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-Census-Tract-Boundaries/x7zy-2xmx) in a geographic information system (GIS) to produce maps of 27 measures at the census tract level.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/500-Cities-Census-Tract-level-Data-GIS-Friendly-Fo/5mtz-k78d'}"
"500 Cities: Census Tract-level Data (GIS Friendly Format), 2017 release",kucs-wizg,kucs-wizg_1736726152.614137_500_Cities__Census_Tract-level_Data__GIS_Friendly_Format___2017_release_20250112.csv.gz,2025-01-12 23:55:52 UTC,https://data.cdc.gov/500-Cities-Places/500-Cities-Census-Tract-level-Data-GIS-Friendly-Fo/kucs-wizg,"2015, 2014. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project census tract-level data in GIS-friendly format can be joined with census tract spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-Census-Tract-Boundaries/x7zy-2xmx) in a geographic information system (GIS) to produce maps of 27 measures at the census tract level. Because some questions are only asked every other year in the BRFSS, there are 7 measures in this 2017 release from the 2014 BRFSS that were the same as the 2016 release.",,"{'name': '500 Cities: Census Tract-level Data (GIS Friendly Format), 2017 release', 'id': 'kucs-wizg', 'description': '2015, 2014. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project census tract-level data in GIS-friendly format can be joined with census tract spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-Census-Tract-Boundaries/x7zy-2xmx) in a geographic information system (GIS) to produce maps of 27 measures at the census tract level. Because some questions are only asked every other year in the BRFSS, there are 7 measures in this 2017 release from the 2014 BRFSS that were the same as the 2016 release.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/500-Cities-Census-Tract-level-Data-GIS-Friendly-Fo/kucs-wizg'}"
"500 Cities: Census Tract-level Data (GIS Friendly Format), 2018 release",k25u-mg9b,k25u-mg9b_1736728415.821547_500_Cities__Census_Tract-level_Data__GIS_Friendly_Format___2018_release_20250113.csv.gz,2025-01-13 00:33:35 UTC,https://data.cdc.gov/500-Cities-Places/500-Cities-Census-Tract-level-Data-GIS-Friendly-Fo/k25u-mg9b,"2016, 2015. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project census tract-level data in GIS-friendly format can be joined with census tract spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-Census-Tract-Boundaries/x7zy-2xmx) in a geographic information system (GIS) to produce maps of 27 measures at the census tract level. There are 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, cholesterol screening) in this 2018 release from the 2015 BRFSS that were the same as the 2017 release.",,"{'name': '500 Cities: Census Tract-level Data (GIS Friendly Format), 2018 release', 'id': 'k25u-mg9b', 'description': '2016, 2015. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project census tract-level data in GIS-friendly format can be joined with census tract spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-Census-Tract-Boundaries/x7zy-2xmx) in a geographic information system (GIS) to produce maps of 27 measures at the census tract level. There are 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, cholesterol screening) in this 2018 release from the 2015 BRFSS that were the same as the 2017 release.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/500-Cities-Census-Tract-level-Data-GIS-Friendly-Fo/k25u-mg9b'}"
"500 Cities: Census Tract-level Data (GIS Friendly Format), 2019 release",k86t-wghb,k86t-wghb_1736710052.320465_500_Cities__Census_Tract-level_Data__GIS_Friendly_Format___2019_release_20250112.csv.gz,2025-01-12 19:27:32 UTC,https://data.cdc.gov/500-Cities-Places/500-Cities-Census-Tract-level-Data-GIS-Friendly-Fo/k86t-wghb,"2017, 2016. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project census tract-level data in GIS-friendly format can be joined with census tract spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-Census-Tract-Boundaries/x7zy-2xmx) in a geographic information system (GIS) to produce maps of 27 measures at the census tract level. There are 7 measures (all teeth lost, dental visits, mammograms, Pap tests, colorectal cancer screening, core preventive services among older adults, and sleep less than 7 hours) in this 2019 release from the 2016 BRFSS that were the same as the 2018 release.",,"{'name': '500 Cities: Census Tract-level Data (GIS Friendly Format), 2019 release', 'id': 'k86t-wghb', 'description': '2017, 2016. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project census tract-level data in GIS-friendly format can be joined with census tract spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-Census-Tract-Boundaries/x7zy-2xmx) in a geographic information system (GIS) to produce maps of 27 measures at the census tract level. There are 7 measures (all teeth lost, dental visits, mammograms, Pap tests, colorectal cancer screening, core preventive services among older adults, and sleep less than 7 hours) in this 2019 release from the 2016 BRFSS that were the same as the 2018 release.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/500-Cities-Census-Tract-level-Data-GIS-Friendly-Fo/k86t-wghb'}"
"500 Cities: City-level Data (GIS Friendly Format), 2016 release",k56w-7tny,k56w-7tny_1736726238.585521_500_Cities__City-level_Data__GIS_Friendly_Format___2016_release_20250112.csv.gz,2025-01-12 23:57:18 UTC,https://data.cdc.gov/500-Cities-Places/500-Cities-City-level-Data-GIS-Friendly-Format-201/k56w-7tny,"2014, 2013. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project census city-level data in GIS-friendly format can be joined with city spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-City-Boundaries/n44h-hy2j) in a geographic information system (GIS) to produce maps of 27 measures at the city-level.",,"{'name': '500 Cities: City-level Data (GIS Friendly Format), 2016 release', 'id': 'k56w-7tny', 'description': '2014, 2013. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project census city-level data in GIS-friendly format can be joined with city spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-City-Boundaries/n44h-hy2j) in a geographic information system (GIS) to produce maps of 27 measures at the city-level.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/500-Cities-City-level-Data-GIS-Friendly-Format-201/k56w-7tny'}"
"500 Cities: City-level Data (GIS Friendly Format), 2017 release",djk3-k3zs,djk3-k3zs_1737086098.325716_500_Cities_City_level_Data_GIS_Friendly_Format_201.csv.gz,2025-01-17 03:54:58 UTC,https://data.cdc.gov/500-Cities-Places/500-Cities-City-level-Data-GIS-Friendly-Format-201/djk3-k3zs,"2015, 2014. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project census city-level data in GIS-friendly format can be joined with city spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-City-Boundaries/n44h-hy2j) in a geographic information system (GIS) to produce maps of 27 measures at the city-level. Because some questions are only asked every other year in the BRFSS, there are 7 measures in this 2017 release from the 2014 BRFSS that were the same as the 2016 release.",,"{'name': '500 Cities: City-level Data (GIS Friendly Format), 2017 release', 'id': 'djk3-k3zs', 'description': '2015, 2014. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project census city-level data in GIS-friendly format can be joined with city spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-City-Boundaries/n44h-hy2j) in a geographic information system (GIS) to produce maps of 27 measures at the city-level. Because some questions are only asked every other year in the BRFSS, there are 7 measures in this 2017 release from the 2014 BRFSS that were the same as the 2016 release.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/500-Cities-City-level-Data-GIS-Friendly-Format-201/djk3-k3zs'}"
"500 Cities: City-level Data (GIS Friendly Format), 2018 release",pf7q-w24q,pf7q-w24q_1736731204.994847_500_Cities__City-level_Data__GIS_Friendly_Format___2018_release_20250113.csv.gz,2025-01-13 01:20:04 UTC,https://data.cdc.gov/500-Cities-Places/500-Cities-City-level-Data-GIS-Friendly-Format-201/pf7q-w24q,"2016, 2015. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project city-level data in GIS-friendly format can be joined with city spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-City-Boundaries/n44h-hy2j) in a geographic information system (GIS) to produce maps of 27 measures at the city-level. There are 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, cholesterol screening) in this 2018 release from the 2015 BRFSS that were the same as the 2017 release.",,"{'name': '500 Cities: City-level Data (GIS Friendly Format), 2018 release', 'id': 'pf7q-w24q', 'description': '2016, 2015. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project city-level data in GIS-friendly format can be joined with city spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-City-Boundaries/n44h-hy2j) in a geographic information system (GIS) to produce maps of 27 measures at the city-level. There are 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, cholesterol screening) in this 2018 release from the 2015 BRFSS that were the same as the 2017 release.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/500-Cities-City-level-Data-GIS-Friendly-Format-201/pf7q-w24q'}"
"500 Cities: City-level Data (GIS Friendly Format), 2019 release",dxpw-cm5u,dxpw-cm5u_1736711792.423362_500_Cities__City-level_Data__GIS_Friendly_Format___2019_release_20250112.csv.gz,2025-01-12 19:56:32 UTC,https://data.cdc.gov/500-Cities-Places/500-Cities-City-level-Data-GIS-Friendly-Format-201/dxpw-cm5u,"2017, 2016. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project city-level data in GIS-friendly format can be joined with city spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-City-Boundaries/n44h-hy2j) in a geographic information system (GIS) to produce maps of 27 measures at the city-level. There are 7 measures (all teeth lost, dental visits, mammograms, Pap tests, colorectal cancer screening, core preventive services among older adults, and sleep less than 7 hours) in this 2019 release from the 2016 BRFSS that were the same as the 2018 release.","<https://data.cdc.gov/500-Cities-Places/500-Cities-City-level-Data-GIS-Friendly-Format-201/dxpw-cm5u>; rel=""original"",
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<http://web.archive.org/web/20241125050749/https://data.cdc.gov/500-Cities-Places/500-Cities-City-level-Data-GIS-Friendly-Format-201/dxpw-cm5u>; rel=""memento""; datetime=""Mon, 25 Nov 2024 05:07:49 GMT"",
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<http://web.archive.org/web/20241211074855/https://data.cdc.gov/500-Cities-Places/500-Cities-City-level-Data-GIS-Friendly-Format-201/dxpw-cm5u>; rel=""memento""; datetime=""Wed, 11 Dec 2024 07:48:55 GMT"",
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<http://web.archive.org/web/20250203035918/https://data.cdc.gov/500-Cities-Places/500-Cities-City-level-Data-GIS-Friendly-Format-201/dxpw-cm5u>; rel=""memento""; datetime=""Mon, 03 Feb 2025 03:59:18 GMT"",
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<http://web.archive.org/web/20250209180152/https://data.cdc.gov/500-Cities-Places/500-Cities-City-level-Data-GIS-Friendly-Format-201/dxpw-cm5u>; rel=""memento""; datetime=""Sun, 09 Feb 2025 18:01:52 GMT""
","{'name': '500 Cities: City-level Data (GIS Friendly Format), 2019 release', 'id': 'dxpw-cm5u', 'description': '2017, 2016. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project city-level data in GIS-friendly format can be joined with city spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-City-Boundaries/n44h-hy2j) in a geographic information system (GIS) to produce maps of 27 measures at the city-level. There are 7 measures (all teeth lost, dental visits, mammograms, Pap tests, colorectal cancer screening, core preventive services among older adults, and sleep less than 7 hours) in this 2019 release from the 2016 BRFSS that were the same as the 2018 release.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/500-Cities-City-level-Data-GIS-Friendly-Format-201/dxpw-cm5u'}"
"500 Cities: Local Data for Better Health, 2016 release",9z78-nsfp,9z78-nsfp_1736721760.221516_500_Cities__Local_Data_for_Better_Health__2016_release_20250112.csv.gz,2025-01-12 22:42:40 UTC,https://data.cdc.gov/500-Cities-Places/500-Cities-Local-Data-for-Better-Health-2016-relea/9z78-nsfp,"This is the complete dataset for the 500 Cities project 2016 release. This dataset includes 2013, 2014 model-based small area estimates for 27 measures of chronic disease related to unhealthy behaviors (5), health outcomes (13), and use of preventive services (9). Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. It represents a first-of-its kind effort to release information on a large scale for cities and for small areas within those cities. It includes estimates for the 500 largest US cities and approximately 28,000 census tracts within these cities. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these measures include Behavioral Risk Factor Surveillance System (BRFSS) data (2013, 2014), Census Bureau 2010 census population data, and American Community Survey (ACS) 2009-2013, 2010-2014 estimates. More information about the methodology can be found at www.cdc.gov/500cities.
Note: During the process of uploading the 2015 estimates, CDC found a data discrepancy in the published 500 Cities data for the 2014 city-level obesity crude prevalence estimates caused when reformatting the SAS data file to the open data format. . The small area estimation model and code were correct. This data discrepancy only affected the 2014 city-level obesity crude prevalence estimates on the Socrata open data file, the GIS-friendly data file, and the 500 Cities online application. The other obesity estimates (city-level age-adjusted and tract-level) and the Mapbooks were not affected. No other measures were affected. The correct estimates are update in this dataset on October 25, 2017.",,"{'name': '500 Cities: Local Data for Better Health, 2016 release', 'id': '9z78-nsfp', 'description': 'This is the complete dataset for the 500 Cities project 2016 release. This dataset includes 2013, 2014 model-based small area estimates for 27 measures of chronic disease related to unhealthy behaviors (5), health outcomes (13), and use of preventive services (9). Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. It represents a first-of-its kind effort to release information on a large scale for cities and for small areas within those cities. It includes estimates for the 500 largest US cities and approximately 28,000 census tracts within these cities. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these measures include Behavioral Risk Factor Surveillance System (BRFSS) data (2013, 2014), Census Bureau 2010 census population data, and American Community Survey (ACS) 2009-2013, 2010-2014 estimates. More information about the methodology can be found at www.cdc.gov/500cities.\nNote: During the process of uploading the 2015 estimates, CDC found a data discrepancy in the published 500 Cities data for the 2014 city-level obesity crude prevalence estimates caused when reformatting the SAS data file to the open data format. . The small area estimation model and code were correct. This data discrepancy only affected the 2014 city-level obesity crude prevalence estimates on the Socrata open data file, the GIS-friendly data file, and the 500 Cities online application. The other obesity estimates (city-level age-adjusted and tract-level) and the Mapbooks were not affected. No other measures were affected. The correct estimates are update in this dataset on October 25, 2017.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/500-Cities-Local-Data-for-Better-Health-2016-relea/9z78-nsfp'}"
"500 Cities: Local Data for Better Health, 2017 release",vurf-k5wr,vurf-k5wr_1736727487.452671_500_Cities__Local_Data_for_Better_Health__2017_release_20250113.csv.gz,2025-01-13 00:18:07 UTC,https://data.cdc.gov/500-Cities-Places/500-Cities-Local-Data-for-Better-Health-2017-relea/vurf-k5wr,"This is the complete dataset for the 500 Cities project 2017 release. This dataset includes 2015, 2014 model-based small area estimates for 27 measures of chronic disease related to unhealthy behaviors (5), health outcomes (13), and use of preventive services (9). Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. It represents a first-of-its kind effort to release information on a large scale for cities and for small areas within those cities. It includes estimates for the 500 largest US cities and approximately 28,000 census tracts within these cities. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these measures include Behavioral Risk Factor Surveillance System (BRFSS) data (2015, 2014), Census Bureau 2010 census population data, and American Community Survey (ACS) 2011-2015, 2010-2014 estimates. Because some questions are only asked every other year in the BRFSS, there are 7 measures from the 2014 BRFSS that are the same in the 2017 release as the previous 2016 release. More information about the methodology can be found at www.cdc.gov/500cities.",,"{'name': '500 Cities: Local Data for Better Health, 2017 release', 'id': 'vurf-k5wr', 'description': 'This is the complete dataset for the 500 Cities project 2017 release. This dataset includes 2015, 2014 model-based small area estimates for 27 measures of chronic disease related to unhealthy behaviors (5), health outcomes (13), and use of preventive services (9). Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. It represents a first-of-its kind effort to release information on a large scale for cities and for small areas within those cities. It includes estimates for the 500 largest US cities and approximately 28,000 census tracts within these cities. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these measures include Behavioral Risk Factor Surveillance System (BRFSS) data (2015, 2014), Census Bureau 2010 census population data, and American Community Survey (ACS) 2011-2015, 2010-2014 estimates. Because some questions are only asked every other year in the BRFSS, there are 7 measures from the 2014 BRFSS that are the same in the 2017 release as the previous 2016 release. More information about the methodology can be found at www.cdc.gov/500cities.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/500-Cities-Local-Data-for-Better-Health-2017-relea/vurf-k5wr'}"
"500 Cities: Local Data for Better Health, 2018 release",rja3-32tc,rja3-32tc_1736727313.274271_500_Cities__Local_Data_for_Better_Health__2018_release_20250113.csv.gz,2025-01-13 00:15:13 UTC,https://data.cdc.gov/500-Cities-Places/500-Cities-Local-Data-for-Better-Health-2018-relea/rja3-32tc,"This is the complete dataset for the 500 Cities project 2018 release. This dataset includes 2016, 2015 model-based small area estimates for 27 measures of chronic disease related to unhealthy behaviors (5), health outcomes (13), and use of preventive services (9). Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. It represents a first-of-its kind effort to release information on a large scale for cities and for small areas within those cities. It includes estimates for the 500 largest US cities and approximately 28,000 census tracts within these cities. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these measures include Behavioral Risk Factor Surveillance System (BRFSS) data (2016, 2015), Census Bureau 2010 census population data, and American Community Survey (ACS) 2012-2016, 2011-2015 estimates. Because some questions are only asked every other year in the BRFSS, there are 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, cholesterol screening) from the 2015 BRFSS that are the same in the 2018 release as the previous 2017 release. More information about the methodology can be found at www.cdc.gov/500cities.",,"{'name': '500 Cities: Local Data for Better Health, 2018 release', 'id': 'rja3-32tc', 'description': 'This is the complete dataset for the 500 Cities project 2018 release. This dataset includes 2016, 2015 model-based small area estimates for 27 measures of chronic disease related to unhealthy behaviors (5), health outcomes (13), and use of preventive services (9). Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. It represents a first-of-its kind effort to release information on a large scale for cities and for small areas within those cities. It includes estimates for the 500 largest US cities and approximately 28,000 census tracts within these cities. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these measures include Behavioral Risk Factor Surveillance System (BRFSS) data (2016, 2015), Census Bureau 2010 census population data, and American Community Survey (ACS) 2012-2016, 2011-2015 estimates. Because some questions are only asked every other year in the BRFSS, there are 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, cholesterol screening) from the 2015 BRFSS that are the same in the 2018 release as the previous 2017 release. More information about the methodology can be found at www.cdc.gov/500cities.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/500-Cities-Local-Data-for-Better-Health-2018-relea/rja3-32tc'}"
"500 Cities: Local Data for Better Health, 2019 release",6vp6-wxuq,6vp6-wxuq_1736708723.803559_500_Cities__Local_Data_for_Better_Health__2019_release_20250112.csv.gz,2025-01-12 19:05:23 UTC,https://data.cdc.gov/500-Cities-Places/500-Cities-Local-Data-for-Better-Health-2019-relea/6vp6-wxuq,"This is the complete dataset for the 500 Cities project 2019 release. This dataset includes 2017, 2016 model-based small area estimates for 27 measures of chronic disease related to unhealthy behaviors (5), health outcomes (13), and use of preventive services (9). Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. It represents a first-of-its kind effort to release information on a large scale for cities and for small areas within those cities. It includes estimates for the 500 largest US cities and approximately 28,000 census tracts within these cities. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these measures include Behavioral Risk Factor Surveillance System (BRFSS) data (2017, 2016), Census Bureau 2010 census population data, and American Community Survey (ACS) 2013-2017, 2012-2016 estimates. Because some questions are only asked every other year in the BRFSS, there are 7 measures (all teeth lost, dental visits, mammograms, pap tests, colorectal cancer screening, core preventive services among older adults, and sleep less than 7 hours) from the 2016 BRFSS that are the same in the 2019 release as the previous 2018 release. More information about the methodology can be found at www.cdc.gov/500cities.",,"{'name': '500 Cities: Local Data for Better Health, 2019 release', 'id': '6vp6-wxuq', 'description': 'This is the complete dataset for the 500 Cities project 2019 release. This dataset includes 2017, 2016 model-based small area estimates for 27 measures of chronic disease related to unhealthy behaviors (5), health outcomes (13), and use of preventive services (9). Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. It represents a first-of-its kind effort to release information on a large scale for cities and for small areas within those cities. It includes estimates for the 500 largest US cities and approximately 28,000 census tracts within these cities. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these measures include Behavioral Risk Factor Surveillance System (BRFSS) data (2017, 2016), Census Bureau 2010 census population data, and American Community Survey (ACS) 2013-2017, 2012-2016 estimates. Because some questions are only asked every other year in the BRFSS, there are 7 measures (all teeth lost, dental visits, mammograms, pap tests, colorectal cancer screening, core preventive services among older adults, and sleep less than 7 hours) from the 2016 BRFSS that are the same in the 2019 release as the previous 2018 release. More information about the methodology can be found at www.cdc.gov/500cities.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/500-Cities-Local-Data-for-Better-Health-2019-relea/6vp6-wxuq'}"
"AH COVID-19 Death Counts by County and Week, 2020-present",ite7-j2w7,ite7-j2w7_1736726059.798052_AH_COVID-19_Death_Counts_by_County_and_Week__2020-present_20250112.csv.gz,2025-01-12 23:54:19 UTC,https://data.cdc.gov/NCHS/AH-COVID-19-Death-Counts-by-County-and-Week-2020-p/ite7-j2w7,"Provisional count of deaths involving COVID-19 by United States county of occurrence, by week of death.",,"{'name': 'AH COVID-19 Death Counts by County and Week, 2020-present', 'id': 'ite7-j2w7', 'description': 'Provisional count of deaths involving COVID-19 by United States county of occurrence, by week of death.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/AH-COVID-19-Death-Counts-by-County-and-Week-2020-p/ite7-j2w7'}"
"AH County of Occurrence COVID-19 Death Counts, 2020 Provisional",6vqh-esgs,6vqh-esgs_1736718584.053616_AH_County_of_Occurrence_COVID-19_Death_Counts__2020_Provisional_20250112.csv.gz,2025-01-12 21:49:44 UTC,https://data.cdc.gov/NCHS/AH-County-of-Occurrence-COVID-19-Death-Counts-2020/6vqh-esgs,"Provisional count of deaths involving coronavirus disease 2019 (COVID-19) by United States county of occurrence, from January 1, 2020 through December 31, 2020.",,"{'name': 'AH County of Occurrence COVID-19 Death Counts, 2020 Provisional', 'id': '6vqh-esgs', 'description': 'Provisional count of deaths involving coronavirus disease 2019 (COVID-19) by United States county of occurrence, from January 1, 2020 through December 31, 2020.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/AH-County-of-Occurrence-COVID-19-Death-Counts-2020/6vqh-esgs'}"
"AH County of Residence COVID-19 Deaths Counts, 2020 Provisional",75vb-d79q,75vb-d79q_1736723201.364578_AH_County_of_Residence_COVID-19_Deaths_Counts__2020_Provisional_20250112.csv.gz,2025-01-12 23:06:41 UTC,https://data.cdc.gov/NCHS/AH-County-of-Residence-COVID-19-Deaths-Counts-2020/75vb-d79q,"Provisional count of deaths involving coronavirus disease 2019 (COVID-19) by United States county of residence, from January 1, 2020 through December 31, 2020.",,"{'name': 'AH County of Residence COVID-19 Deaths Counts, 2020 Provisional', 'id': '75vb-d79q', 'description': 'Provisional count of deaths involving coronavirus disease 2019 (COVID-19) by United States county of residence, from January 1, 2020 through December 31, 2020.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/AH-County-of-Residence-COVID-19-Deaths-Counts-2020/75vb-d79q'}"
AH Cumulative Provisional COVID-19 Death Counts by Place of Death and Age Group from 2/1/2020 to 7/18/2020,g4z9-a9d3,g4z9-a9d3_1736719153.810108_AH_Cumulative_Provisional_COVID-19_Death_Counts_by_Place_of_Death_and_Age_Group_from_2_1_2020_to_7_18_2020_20250112.csv.gz,2025-01-12 21:59:13 UTC,https://data.cdc.gov/NCHS/AH-Cumulative-Provisional-COVID-19-Death-Counts-by/g4z9-a9d3,"Deaths involving coronavirus disease 2019 (COVID-19) and pneumonia reported to NCHS by jurisdiction of occurrence, place of death, and age group.","<https://data.cdc.gov/NCHS/AH-Cumulative-Provisional-COVID-19-Death-Counts-by/g4z9-a9d3>; rel=""original"",
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","{'name': 'AH Cumulative Provisional COVID-19 Death Counts by Place of Death and Age Group from 2/1/2020 to 7/18/2020', 'id': 'g4z9-a9d3', 'description': 'Deaths involving coronavirus disease 2019 (COVID-19) and pneumonia reported to NCHS by jurisdiction of occurrence, place of death, and age group.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/AH-Cumulative-Provisional-COVID-19-Death-Counts-by/g4z9-a9d3'}"
"AH Cumulative Provisional COVID-19 Deaths by Sex, Race, and Age from 1/1/2020 to 7/28/2020",mwk9-wnfr,mwk9-wnfr_1736713989.392408_AH_Cumulative_Provisional_COVID-19_Deaths_by_Sex__Race__and_Age_from_1_1_2020_to_7_28_2020_20250112.csv.gz,2025-01-12 20:33:09 UTC,https://data.cdc.gov/NCHS/AH-Cumulative-Provisional-COVID-19-Deaths-by-Sex-R/mwk9-wnfr,"Cumulative provisional counts of deaths sex, race/Hispanic origin, age group, and by select underlying causes of death.  The dataset also includes provisional counts of death for COVID-19, coded to ICD-10 code U07.1 as an underlying or multiple cause of death.  Includes deaths that occurred between January 1, 2020 to July 28, 2020.",,"{'name': 'AH Cumulative Provisional COVID-19 Deaths by Sex, Race, and Age from 1/1/2020 to 7/28/2020', 'id': 'mwk9-wnfr', 'description': 'Cumulative provisional counts of deaths sex, race/Hispanic origin, age group, and by select underlying causes of death.  The dataset also includes provisional counts of death for COVID-19, coded to ICD-10 code U07.1 as an underlying or multiple cause of death.  Includes deaths that occurred between January 1, 2020 to July 28, 2020.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/AH-Cumulative-Provisional-COVID-19-Deaths-by-Sex-R/mwk9-wnfr'}"
"AH Cumulative Provisional Death Counts by Sex, Race, and Age from 1/1/2020 to 7/4/2020",sf7h-sajc,sf7h-sajc_1736715781.942747_AH_Cumulative_Provisional_Death_Counts_by_Sex__Race__and_Age_from_1_1_2020_to_7_4_2020_20250112.csv.gz,2025-01-12 21:03:01 UTC,https://data.cdc.gov/NCHS/AH-Cumulative-Provisional-Death-Counts-by-Sex-Race/sf7h-sajc,"Cumulative provisional counts of deaths sex, race/Hispanic origin, age group, and by select underlying causes of death. The dataset also includes provisional counts of death for COVID-19, coded to ICD-10 code U07.1 as an underlying or multiple cause of death. Includes deaths that occurred between January 1, 2020 to July 4, 2020.",,"{'name': 'AH Cumulative Provisional Death Counts by Sex, Race, and Age from 1/1/2020 to 7/4/2020', 'id': 'sf7h-sajc', 'description': 'Cumulative provisional counts of deaths sex, race/Hispanic origin, age group, and by select underlying causes of death. The dataset also includes provisional counts of death for COVID-19, coded to ICD-10 code U07.1 as an underlying or multiple cause of death. Includes deaths that occurred between January 1, 2020 to July 4, 2020.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/AH-Cumulative-Provisional-Death-Counts-by-Sex-Race/sf7h-sajc'}"
"AH Deaths by Educational Attainment, 2019-2020",4ueh-89p9,4ueh-89p9_1736717664.588151_AH_Deaths_by_Educational_Attainment__2019-2020_20250112.csv.gz,2025-01-12 21:34:24 UTC,https://data.cdc.gov/NCHS/AH-Deaths-by-Educational-Attainment-2019-2020/4ueh-89p9,"Deaths by educational attainment, race, sex, and age group for deaths occurring in the United States. Data are final for 2019 and provisional for 2020.  The dataset includes annual counts of death for total deaths and for COVID-19, coded to ICD-10 code U07.1 as an underlying or multiple cause of death.",,"{'name': 'AH Deaths by Educational Attainment, 2019-2020', 'id': '4ueh-89p9', 'description': 'Deaths by educational attainment, race, sex, and age group for deaths occurring in the United States. Data are final for 2019 and provisional for 2020.  The dataset includes annual counts of death for total deaths and for COVID-19, coded to ICD-10 code U07.1 as an underlying or multiple cause of death.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/AH-Deaths-by-Educational-Attainment-2019-2020/4ueh-89p9'}"
"AH Deaths by Week, Sex, and Age for 2018-2020",w56u-89fn,w56u-89fn_1736720553.211621_AH_Deaths_by_Week__Sex__and_Age_for_2018-2020_20250112.csv.gz,2025-01-12 22:22:33 UTC,https://data.cdc.gov/NCHS/AH-Deaths-by-Week-Sex-and-Age-for-2018-2020/w56u-89fn,"Death counts by age, sex, and week for years 2018-2020.  Data for 2018 and 2019 are final.  Data for 2020 are provisional.",,"{'name': 'AH Deaths by Week, Sex, and Age for 2018-2020', 'id': 'w56u-89fn', 'description': 'Death counts by age, sex, and week for years 2018-2020.  Data for 2018 and 2019 are final.  Data for 2020 are provisional.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/AH-Deaths-by-Week-Sex-and-Age-for-2018-2020/w56u-89fn'}"
"AH Deaths by Year, Sex, and Age for 2015-2020",chcz-j2du,chcz-j2du_1736720018.291711_AH_Deaths_by_Year__Sex__and_Age_for_2015-2020_20250112.csv.gz,2025-01-12 22:13:38 UTC,https://data.cdc.gov/NCHS/AH-Deaths-by-Year-Sex-and-Age-for-2015-2020/chcz-j2du,Death counts by age and sex for years 2015-2020. Data for 2015-2019 are final. Data for 2020 are provisional.,,"{'name': 'AH Deaths by Year, Sex, and Age for 2015-2020', 'id': 'chcz-j2du', 'description': 'Death counts by age and sex for years 2015-2020. Data for 2015-2019 are final. Data for 2020 are provisional.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/AH-Deaths-by-Year-Sex-and-Age-for-2015-2020/chcz-j2du'}"
"AH Excess Deaths by Sex, Age, and Race and Hispanic Origin",m74n-4hbs,m74n-4hbs_1736710431.070628_AH_Excess_Deaths_by_Sex__Age__and_Race_and_Hispanic_Origin_20250112.csv.gz,2025-01-12 19:33:51 UTC,https://data.cdc.gov/NCHS/AH-Excess-Deaths-by-Sex-Age-and-Race-and-Hispanic-/m74n-4hbs,"Weekly data on the number of deaths from all causes by sex, age group, and race/Hispanic origin group for the United States. Counts of deaths in more recent weeks can be compared with counts from earlier years (2015-2019) to determine if the number is higher than expected.",,"{'name': 'AH Excess Deaths by Sex, Age, and Race and Hispanic Origin', 'id': 'm74n-4hbs', 'description': 'Weekly data on the number of deaths from all causes by sex, age group, and race/Hispanic origin group for the United States. Counts of deaths in more recent weeks can be compared with counts from earlier years (2015-2019) to determine if the number is higher than expected.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/AH-Excess-Deaths-by-Sex-Age-and-Race-and-Hispanic-/m74n-4hbs'}"
"AH Monthly COVID-19 Deaths, by Census Region, Age, Place, and Race and Hispanic Origin, 2020 Provisional",w4jm-mysj,w4jm-mysj_1736718996.618992_AH_Monthly_COVID-19_Deaths__by_Census_Region__Age__Place__and_Race_and_Hispanic_Origin__2020_Provisional_20250112.csv.gz,2025-01-12 21:56:36 UTC,https://data.cdc.gov/NCHS/AH-Monthly-COVID-19-Deaths-by-Census-Region-Age-Pl/w4jm-mysj,"Deaths involving coronavirus disease 2019 (COVID-19) by month of death, region, age, place of death, and race and Hispanic origin: May-August 2020.",,"{'name': 'AH Monthly COVID-19 Deaths, by Census Region, Age, Place, and Race and Hispanic Origin, 2020 Provisional', 'id': 'w4jm-mysj', 'description': 'Deaths involving coronavirus disease 2019 (COVID-19) by month of death, region, age, place of death, and race and Hispanic origin: May-August 2020.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/AH-Monthly-COVID-19-Deaths-by-Census-Region-Age-Pl/w4jm-mysj'}"
"AH Monthly Provisional COVID-19 Deaths, by Census Region, Age, and Race and Hispanic Origin",aie4-agrk,aie4-agrk_1736722534.835583_AH_Monthly_Provisional_COVID-19_Deaths__by_Census_Region__Age__and_Race_and_Hispanic_Origin_20250112.csv.gz,2025-01-12 22:55:34 UTC,https://data.cdc.gov/NCHS/AH-Monthly-Provisional-COVID-19-Deaths-by-Census-R/aie4-agrk,"Deaths involving coronavirus disease 2019 (COVID-19) by month of death, region, age, place of death, and race and Hispanic origin.",,"{'name': 'AH Monthly Provisional COVID-19 Deaths, by Census Region, Age, and Race and Hispanic Origin', 'id': 'aie4-agrk', 'description': 'Deaths involving coronavirus disease 2019 (COVID-19) by month of death, region, age, place of death, and race and Hispanic origin.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/AH-Monthly-Provisional-COVID-19-Deaths-by-Census-R/aie4-agrk'}"
"AH Monthly Provisional Counts of Deaths by Age Group and HHS region for Select Causes of Death, 2019-2021",ezfr-g6hf,ezfr-g6hf_1736710565.437042_AH_Monthly_Provisional_Counts_of_Deaths_by_Age_Group_and_HHS_region_for_Select_Causes_of_Death__2019-2021_20250112.csv.gz,2025-01-12 19:36:05 UTC,https://data.cdc.gov/NCHS/AH-Monthly-Provisional-Counts-of-Deaths-by-Age-Gro/ezfr-g6hf,"Provisional counts of deaths by the month the deaths occurred, by age group and HHS region, for select underlying causes of death for 2019-2020. The dataset also includes monthly provisional counts of death for COVID-19, coded to ICD-10 code U07.1 as an underlying or multiple cause of death.",,"{'name': 'AH Monthly Provisional Counts of Deaths by Age Group and HHS region for Select Causes of Death, 2019-2021', 'id': 'ezfr-g6hf', 'description': 'Provisional counts of deaths by the month the deaths occurred, by age group and HHS region, for select underlying causes of death for 2019-2020. The dataset also includes monthly provisional counts of death for COVID-19, coded to ICD-10 code U07.1 as an underlying or multiple cause of death.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/AH-Monthly-Provisional-Counts-of-Deaths-by-Age-Gro/ezfr-g6hf'}"
"AH Monthly Provisional Counts of Deaths for Select Causes of Death by Age, and Race and Hispanic Origin",r5pw-bk5t,r5pw-bk5t_1736716935.413881_AH_Monthly_Provisional_Counts_of_Deaths_for_Select_Causes_of_Death_by_Age__and_Race_and_Hispanic_Origin_20250112.csv.gz,2025-01-12 21:22:15 UTC,https://data.cdc.gov/NCHS/AH-Monthly-Provisional-Counts-of-Deaths-for-Select/r5pw-bk5t,"Provisional counts of deaths by the month the deaths occurred, by age group and race/ethnicity, for select underlying causes of death for 2020-2021. Final data is provided for 2019. The dataset also includes monthly provisional counts of death for COVID-19, coded to ICD-10 code U07.1 as an underlying or multiple cause of death.",,"{'name': 'AH Monthly Provisional Counts of Deaths for Select Causes of Death by Age, and Race and Hispanic Origin', 'id': 'r5pw-bk5t', 'description': 'Provisional counts of deaths by the month the deaths occurred, by age group and race/ethnicity, for select underlying causes of death for 2020-2021. Final data is provided for 2019. The dataset also includes monthly provisional counts of death for COVID-19, coded to ICD-10 code U07.1 as an underlying or multiple cause of death.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/AH-Monthly-Provisional-Counts-of-Deaths-for-Select/r5pw-bk5t'}"
"AH Monthly Provisional Counts of Deaths for Select Causes of Death by Sex, Age, and Race and Hispanic Origin",65mz-jvh5,65mz-jvh5_1736711904.550776_AH_Monthly_Provisional_Counts_of_Deaths_for_Select_Causes_of_Death_by_Sex__Age__and_Race_and_Hispanic_Origin_20250112.csv.gz,2025-01-12 19:58:24 UTC,https://data.cdc.gov/NCHS/AH-Monthly-Provisional-Counts-of-Deaths-for-Select/65mz-jvh5,"Provisional counts of deaths by the month the deaths occurred, by age group, sex, and race/ethnicity, for select underlying causes of death for 2020-2021. Final data are provided for 2019. The dataset also includes monthly provisional counts of death for COVID-19, coded to ICD-10 code U07.1 as an underlying or multiple cause of death.",,"{'name': 'AH Monthly Provisional Counts of Deaths for Select Causes of Death by Sex, Age, and Race and Hispanic Origin', 'id': '65mz-jvh5', 'description': 'Provisional counts of deaths by the month the deaths occurred, by age group, sex, and race/ethnicity, for select underlying causes of death for 2020-2021. Final data are provided for 2019. The dataset also includes monthly provisional counts of death for COVID-19, coded to ICD-10 code U07.1 as an underlying or multiple cause of death.', 'datatype': 'tabular', 'keywords': ['demographics', 'finance', 'health', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/AH-Monthly-Provisional-Counts-of-Deaths-for-Select/65mz-jvh5'}"
AH Provisional COVID-19 Death Counts by Quarter and County,dnhi-s2bf,dnhi-s2bf_1736727286.121709_AH_Provisional_COVID-19_Death_Counts_by_Quarter_and_County_20250113.csv.gz,2025-01-13 00:14:46 UTC,https://data.cdc.gov/NCHS/AH-Provisional-COVID-19-Death-Counts-by-Quarter-an/dnhi-s2bf,"Provisional counts of deaths involving coronavirus disease 2019 (COVID-19) by quarter and county of residence, in the United States, 2020-2021.",,"{'name': 'AH Provisional COVID-19 Death Counts by Quarter and County', 'id': 'dnhi-s2bf', 'description': 'Provisional counts of deaths involving coronavirus disease 2019 (COVID-19) by quarter and county of residence, in the United States, 2020-2021.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/AH-Provisional-COVID-19-Death-Counts-by-Quarter-an/dnhi-s2bf'}"
"AH Provisional COVID-19 Death Counts by Week, Race, and Age, United States 2020-2023",siwp-yg6m,siwp-yg6m_1736716858.035436_AH_Provisional_COVID-19_Death_Counts_by_Week__Race__and_Age__United_States_2020-2023_20250112.csv.gz,2025-01-12 21:20:58 UTC,https://data.cdc.gov/NCHS/AH-Provisional-COVID-19-Death-Counts-by-Week-Race-/siwp-yg6m,"Provisional deaths involving COVID-19 reported to NCHS by MMWR week, race and Hispanic origin, and age group. Deaths occurred in the United States.

Age groups: 0-4, 5-11, 12-17, 18-29, 30-39, 40-49, 50-64, 65-74, and 75+ years",,"{'name': 'AH Provisional COVID-19 Death Counts by Week, Race, and Age, United States 2020-2023', 'id': 'siwp-yg6m', 'description': 'Provisional deaths involving COVID-19 reported to NCHS by MMWR week, race and Hispanic origin, and age group. Deaths occurred in the United States.\n\nAge groups: 0-4, 5-11, 12-17, 18-29, 30-39, 40-49, 50-64, 65-74, and 75+ years', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/AH-Provisional-COVID-19-Death-Counts-by-Week-Race-/siwp-yg6m'}"
"AH Provisional COVID-19 Deaths By Race, Age, and Sex from 3/1/2020 to 7/31/2020",s9qn-46pq,s9qn-46pq_1736729587.672206_AH_Provisional_COVID-19_Deaths_By_Race__Age__and_Sex_from_3_1_2020_to_7_31_2020_20250113.csv.gz,2025-01-13 00:53:07 UTC,https://data.cdc.gov/NCHS/AH-Provisional-COVID-19-Deaths-By-Race-Age-and-Sex/s9qn-46pq,"Provisional counts of deaths in the United States by age group, sex, and race/ethnicity, from March-July 2020. The dataset includes cumulative provisional counts of death for COVID-19, coded to ICD-10 code U07.1 as an underlying or multiple cause of death.",,"{'name': 'AH Provisional COVID-19 Deaths By Race, Age, and Sex from 3/1/2020 to 7/31/2020', 'id': 's9qn-46pq', 'description': 'Provisional counts of deaths in the United States by age group, sex, and race/ethnicity, from March-July 2020. The dataset includes cumulative provisional counts of death for COVID-19, coded to ICD-10 code U07.1 as an underlying or multiple cause of death.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/AH-Provisional-COVID-19-Deaths-By-Race-Age-and-Sex/s9qn-46pq'}"
AH Provisional COVID-19 Deaths Counts by Health Service Area,7873-6w4v,7873-6w4v_1736728312.212846_AH_Provisional_COVID-19_Deaths_Counts_by_Health_Service_Area_20250113.csv.gz,2025-01-13 00:31:52 UTC,https://data.cdc.gov/NCHS/AH-Provisional-COVID-19-Deaths-Counts-by-Health-Se/7873-6w4v,Provisional count of deaths involving coronavirus disease 2019 (COVID-19) in the United States by health service area. Health service area is determined by the decedent's county of residence.,,"{'name': 'AH Provisional COVID-19 Deaths Counts by Health Service Area', 'id': '7873-6w4v', 'description': ""Provisional count of deaths involving coronavirus disease 2019 (COVID-19) in the United States by health service area. Health service area is determined by the decedent's county of residence."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/AH-Provisional-COVID-19-Deaths-Counts-by-Health-Se/7873-6w4v'}"
"AH Provisional COVID-19 Deaths and Contributing Conditions by Sex, Race and Hispanic Origin, and Age, 2020",tdmv-axfy,tdmv-axfy_1736723215.010691_AH_Provisional_COVID-19_Deaths_and_Contributing_Conditions_by_Sex__Race_and_Hispanic_Origin__and_Age__2020_20250112.csv.gz,2025-01-12 23:06:55 UTC,https://data.cdc.gov/NCHS/AH-Provisional-COVID-19-Deaths-and-Contributing-Co/tdmv-axfy,"This dataset shows health conditions and contributing causes mentioned in conjunction with deaths involving coronavirus disease 2019 (COVID-19), by sex, race and Hispanic origin, and age group, for 2020.",,"{'name': 'AH Provisional COVID-19 Deaths and Contributing Conditions by Sex, Race and Hispanic Origin, and Age, 2020', 'id': 'tdmv-axfy', 'description': 'This dataset shows health conditions and contributing causes mentioned in conjunction with deaths involving coronavirus disease 2019 (COVID-19), by sex, race and Hispanic origin, and age group, for 2020.', 'datatype': 'tabular', 'keywords': ['health', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/AH-Provisional-COVID-19-Deaths-and-Contributing-Co/tdmv-axfy'}"
"AH Provisional COVID-19 Deaths by Age, United States, Week 40 2020 through Week 39 2021",mawz-airi,mawz-airi_1736724695.409495_AH_Provisional_COVID-19_Deaths_by_Age__United_States__Week_40_2020_through_Week_39_2021_20250112.csv.gz,2025-01-12 23:31:35 UTC,https://data.cdc.gov/NCHS/AH-Provisional-COVID-19-Deaths-by-Age-United-State/mawz-airi,"Provisional deaths involving coronavirus disease 2019 (COVID-19) reported to NCHS by age group among United States residents, from MMWR Week 40 2020 through MMWR Week 39 2021.

Age groups: 0-4, 5-11, 12-15, 16-17, 18-24, 25-39, 40-49, 50-64, 65-74, and 75+ years",,"{'name': 'AH Provisional COVID-19 Deaths by Age, United States, Week 40 2020 through Week 39 2021', 'id': 'mawz-airi', 'description': 'Provisional deaths involving coronavirus disease 2019 (COVID-19) reported to NCHS by age group among United States residents, from MMWR Week 40 2020 through MMWR Week 39 2021.\n\nAge groups: 0-4, 5-11, 12-15, 16-17, 18-24, 25-39, 40-49, 50-64, 65-74, and 75+ years', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/AH-Provisional-COVID-19-Deaths-by-Age-United-State/mawz-airi'}"
AH Provisional COVID-19 Deaths by County and Age for 2020,xmrr-rw5u,xmrr-rw5u_1736725403.263112_AH_Provisional_COVID-19_Deaths_by_County_and_Age_for_2020_20250112.csv.gz,2025-01-12 23:43:23 UTC,https://data.cdc.gov/NCHS/AH-Provisional-COVID-19-Deaths-by-County-and-Age-f/xmrr-rw5u,"Provisional counts of deaths involving coronavirus disease 2019 (COVID-19) by United States county of residence and age group, from January 1, 2020 through December 31, 2020.",,"{'name': 'AH Provisional COVID-19 Deaths by County and Age for 2020', 'id': 'xmrr-rw5u', 'description': 'Provisional counts of deaths involving coronavirus disease 2019 (COVID-19) by United States county of residence and age group, from January 1, 2020 through December 31, 2020.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/AH-Provisional-COVID-19-Deaths-by-County-and-Age-f/xmrr-rw5u'}"
"AH Provisional COVID-19 Deaths by Educational Attainment, Race, Sex, and Age",3ts8-hsrw,3ts8-hsrw_1736711999.060818_AH_Provisional_COVID-19_Deaths_by_Educational_Attainment__Race__Sex__and_Age_20250112.csv.gz,2025-01-12 19:59:59 UTC,https://data.cdc.gov/NCHS/AH-Provisional-COVID-19-Deaths-by-Educational-Atta/3ts8-hsrw,"Provisional counts of deaths in the United States by educational attainment, race, sex, and age group. The dataset includes cumulative provisional counts of death for COVID-19, coded to ICD-10 code U07.1 as an underlying or multiple cause of death.",,"{'name': 'AH Provisional COVID-19 Deaths by Educational Attainment, Race, Sex, and Age', 'id': '3ts8-hsrw', 'description': 'Provisional counts of deaths in the United States by educational attainment, race, sex, and age group. The dataset includes cumulative provisional counts of death for COVID-19, coded to ICD-10 code U07.1 as an underlying or multiple cause of death.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/AH-Provisional-COVID-19-Deaths-by-Educational-Atta/3ts8-hsrw'}"
"AH Provisional COVID-19 Deaths by HHS Region, Race, Age 65plus",9xc7-3a4q,9xc7-3a4q_1736729159.543363_AH_Provisional_COVID-19_Deaths_by_HHS_Region__Race__Age_65plus_20250113.csv.gz,2025-01-13 00:45:59 UTC,https://data.cdc.gov/NCHS/AH-Provisional-COVID-19-Deaths-by-HHS-Region-Race-/9xc7-3a4q,"Deaths involving coronavirus disease 2019 (COVID-19) reported to NCHS by time-period, HHS region, race and Hispanic origin, and age groups (<65, 65-74. 75-84, 85+, and 65+).

United States death counts include the 50 states, plus the District of Columbia and New York City. The ten (10) United States Department of Health and Human Services (HHS) regions include the following jurisdictions. Region 1: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont; Region 2: New Jersey, New York, New York City; Region 3: Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, West Virginia; Region 4: Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee; Region 5: Illinois, Indiana, Michigan, Minnesota, Ohio, Wisconsin; Region 6: Arkansas, Louisiana, New Mexico, Oklahoma, Texas; Region 7: Iowa, Kansas, Missouri, Nebraska; Region 8: Colorado, Montana, North Dakota, South Dakota, Utah, Wyoming; Region 9: Arizona, California, Hawaii, Nevada; Region 10: Alaska, Idaho, Oregon, Washington.",,"{'name': 'AH Provisional COVID-19 Deaths by HHS Region, Race, Age 65plus', 'id': '9xc7-3a4q', 'description': 'Deaths involving coronavirus disease 2019 (COVID-19) reported to NCHS by time-period, HHS region, race and Hispanic origin, and age groups (<65, 65-74. 75-84, 85+, and 65+).\n\nUnited States death counts include the 50 states, plus the District of Columbia and New York City. The ten (10) United States Department of Health and Human Services (HHS) regions include the following jurisdictions. Region 1: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont; Region 2: New Jersey, New York, New York City; Region 3: Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, West Virginia; Region 4: Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee; Region 5: Illinois, Indiana, Michigan, Minnesota, Ohio, Wisconsin; Region 6: Arkansas, Louisiana, New Mexico, Oklahoma, Texas; Region 7: Iowa, Kansas, Missouri, Nebraska; Region 8: Colorado, Montana, North Dakota, South Dakota, Utah, Wyoming; Region 9: Arizona, California, Hawaii, Nevada; Region 10: Alaska, Idaho, Oregon, Washington.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/AH-Provisional-COVID-19-Deaths-by-HHS-Region-Race-/9xc7-3a4q'}"
"AH Provisional COVID-19 Deaths by HHS Region, Race, and Age Group, 2020-2021",q85u-gmyc,q85u-gmyc_1736728908.862842_AH_Provisional_COVID-19_Deaths_by_HHS_Region__Race__and_Age_Group__2020-2021_20250113.csv.gz,2025-01-13 00:41:48 UTC,https://data.cdc.gov/NCHS/AH-Provisional-COVID-19-Deaths-by-HHS-Region-Race-/q85u-gmyc,"Provisional deaths involving coronavirus disease 2019 (COVID-19) reported to NCHS by time-period (week, month, year), HHS region, race and Hispanic origin, and age group (0-24, 25-64, 65+ years) for 2020-2021.

United States death counts include the 50 states, plus the District of Columbia and New York City. The ten (10) United States Department of Health and Human Services (HHS) regions include the following jurisdictions. Region 1: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont; Region 2: New Jersey, New York, New York City, Puerto Rico; Region 3: Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, West Virginia; Region 4: Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee; Region 5: Illinois, Indiana, Michigan, Minnesota, Ohio, Wisconsin; Region 6: Arkansas, Louisiana, New Mexico, Oklahoma, Texas; Region 7: Iowa, Kansas, Missouri, Nebraska; Region 8: Colorado, Montana, North Dakota, South Dakota, Utah, Wyoming; Region 9: Arizona, California, Hawaii, Nevada; Region 10: Alaska, Idaho, Oregon, Washington.",,"{'name': 'AH Provisional COVID-19 Deaths by HHS Region, Race, and Age Group, 2020-2021', 'id': 'q85u-gmyc', 'description': 'Provisional deaths involving coronavirus disease 2019 (COVID-19) reported to NCHS by time-period (week, month, year), HHS region, race and Hispanic origin, and age group (0-24, 25-64, 65+ years) for 2020-2021.\n\nUnited States death counts include the 50 states, plus the District of Columbia and New York City. The ten (10) United States Department of Health and Human Services (HHS) regions include the following jurisdictions. Region 1: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont; Region 2: New Jersey, New York, New York City, Puerto Rico; Region 3: Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, West Virginia; Region 4: Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee; Region 5: Illinois, Indiana, Michigan, Minnesota, Ohio, Wisconsin; Region 6: Arkansas, Louisiana, New Mexico, Oklahoma, Texas; Region 7: Iowa, Kansas, Missouri, Nebraska; Region 8: Colorado, Montana, North Dakota, South Dakota, Utah, Wyoming; Region 9: Arizona, California, Hawaii, Nevada; Region 10: Alaska, Idaho, Oregon, Washington.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/AH-Provisional-COVID-19-Deaths-by-HHS-Region-Race-/q85u-gmyc'}"
"AH Provisional COVID-19 Deaths by HHS Region, Race, and Age, 2015 to date",k5dc-apj8,k5dc-apj8_1736732945.431604_AH_Provisional_COVID-19_Deaths_by_HHS_Region__Race__and_Age__2015_to_date_20250113.csv.gz,2025-01-13 01:49:05 UTC,https://data.cdc.gov/NCHS/AH-Provisional-COVID-19-Deaths-by-HHS-Region-Race-/k5dc-apj8,"Deaths from all causes and deaths involving coronavirus disease 2019 (COVID-19) reported to NCHS by time-period, HHS region, race and Hispanic origin, and age group.

United States death counts include the 50 states, plus the District of Columbia and New York City. The ten (10) United States Department of Health and Human Services (HHS) regions include the following jurisdictions. Region 1: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont; Region 2: New Jersey, New York, New York City, Puerto Rico; Region 3: Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, West Virginia; Region 4: Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee; Region 5: Illinois, Indiana, Michigan, Minnesota, Ohio, Wisconsin; Region 6: Arkansas, Louisiana, New Mexico, Oklahoma, Texas; Region 7: Iowa, Kansas, Missouri, Nebraska; Region 8: Colorado, Montana, North Dakota, South Dakota, Utah, Wyoming; Region 9: Arizona, California, Hawaii, Nevada; Region 10: Alaska, Idaho, Oregon, Washington.",,"{'name': 'AH Provisional COVID-19 Deaths by HHS Region, Race, and Age, 2015 to date', 'id': 'k5dc-apj8', 'description': 'Deaths from all causes and deaths involving coronavirus disease 2019 (COVID-19) reported to NCHS by time-period, HHS region, race and Hispanic origin, and age group.\n\nUnited States death counts include the 50 states, plus the District of Columbia and New York City. The ten (10) United States Department of Health and Human Services (HHS) regions include the following jurisdictions. Region 1: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont; Region 2: New Jersey, New York, New York City, Puerto Rico; Region 3: Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, West Virginia; Region 4: Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee; Region 5: Illinois, Indiana, Michigan, Minnesota, Ohio, Wisconsin; Region 6: Arkansas, Louisiana, New Mexico, Oklahoma, Texas; Region 7: Iowa, Kansas, Missouri, Nebraska; Region 8: Colorado, Montana, North Dakota, South Dakota, Utah, Wyoming; Region 9: Arizona, California, Hawaii, Nevada; Region 10: Alaska, Idaho, Oregon, Washington.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/AH-Provisional-COVID-19-Deaths-by-HHS-Region-Race-/k5dc-apj8'}"
"AH Provisional COVID-19 Deaths by HHS Region, Race, and Age, 2015-2021",xy7w-35q7,xy7w-35q7_1736730496.841429_AH_Provisional_COVID-19_Deaths_by_HHS_Region__Race__and_Age__2015-2021_20250113.csv.gz,2025-01-13 01:08:16 UTC,https://data.cdc.gov/NCHS/AH-Provisional-COVID-19-Deaths-by-HHS-Region-Race-/xy7w-35q7,"Provisional deaths involving coronavirus disease 2019 (COVID-19) and deaths from all causes reported to NCHS by week the death occurred, HHS region of occurrence, race and Hispanic origin, and age group (0-24, 25-64, 65+ years), from 2015-2021.

United States death counts include the 50 states, plus the District of Columbia and New York City. The ten (10) United States Department of Health and Human Services (HHS) regions include the following jurisdictions. Region 1: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont; Region 2: New Jersey, New York, New York City; Region 3: Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, West Virginia; Region 4: Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee; Region 5: Illinois, Indiana, Michigan, Minnesota, Ohio, Wisconsin; Region 6: Arkansas, Louisiana, New Mexico, Oklahoma, Texas; Region 7: Iowa, Kansas, Missouri, Nebraska; Region 8: Colorado, Montana, North Dakota, South Dakota, Utah, Wyoming; Region 9: Arizona, California, Hawaii, Nevada; Region 10: Alaska, Idaho, Oregon, Washington.",,"{'name': 'AH Provisional COVID-19 Deaths by HHS Region, Race, and Age, 2015-2021', 'id': 'xy7w-35q7', 'description': 'Provisional deaths involving coronavirus disease 2019 (COVID-19) and deaths from all causes reported to NCHS by week the death occurred, HHS region of occurrence, race and Hispanic origin, and age group (0-24, 25-64, 65+ years), from 2015-2021.\n\nUnited States death counts include the 50 states, plus the District of Columbia and New York City. The ten (10) United States Department of Health and Human Services (HHS) regions include the following jurisdictions. Region 1: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont; Region 2: New Jersey, New York, New York City; Region 3: Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, West Virginia; Region 4: Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee; Region 5: Illinois, Indiana, Michigan, Minnesota, Ohio, Wisconsin; Region 6: Arkansas, Louisiana, New Mexico, Oklahoma, Texas; Region 7: Iowa, Kansas, Missouri, Nebraska; Region 8: Colorado, Montana, North Dakota, South Dakota, Utah, Wyoming; Region 9: Arizona, California, Hawaii, Nevada; Region 10: Alaska, Idaho, Oregon, Washington.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/AH-Provisional-COVID-19-Deaths-by-HHS-Region-Race-/xy7w-35q7'}"
AH Provisional COVID-19 Deaths by Hospital Referral Region,mqmc-4b9n,mqmc-4b9n_1736719991.273418_AH_Provisional_COVID-19_Deaths_by_Hospital_Referral_Region_20250112.csv.gz,2025-01-12 22:13:11 UTC,https://data.cdc.gov/NCHS/AH-Provisional-COVID-19-Deaths-by-Hospital-Referra/mqmc-4b9n,"Provisional count of deaths involving coronavirus disease 2019 (COVID-19) in the United States by week of death and by hospital referral region (HRR). HRR is determined by county of occurrence. Weekly weighted counts of deaths from all causes and due to COVID-19 are provided by HRR overall and for decedents 65 years and older. The weighted counts by HRRs are based on published methods for aggregating county-level data to HRRs. More detail about aggregating to HRRs from counties can be found in the following: https://github.com/Dartmouth-DAC/covid-19-hrr-mapping
https://dartmouthatlas.org/covid-19/hrr-mapping/",,"{'name': 'AH Provisional COVID-19 Deaths by Hospital Referral Region', 'id': 'mqmc-4b9n', 'description': 'Provisional count of deaths involving coronavirus disease 2019 (COVID-19) in the United States by week of death and by hospital referral region (HRR). HRR is determined by county of occurrence. Weekly weighted counts of deaths from all causes and due to COVID-19 are provided by HRR overall and for decedents 65 years and older. The weighted counts by HRRs are based on published methods for aggregating county-level data to HRRs. More detail about aggregating to HRRs from counties can be found in the following: https://github.com/Dartmouth-DAC/covid-19-hrr-mapping\nhttps://dartmouthatlas.org/covid-19/hrr-mapping/', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/AH-Provisional-COVID-19-Deaths-by-Hospital-Referra/mqmc-4b9n'}"
"AH Provisional COVID-19 Deaths by Quarter, County and Age for 2020",ypxr-mz8e,ypxr-mz8e_1736723593.435809_AH_Provisional_COVID-19_Deaths_by_Quarter__County_and_Age_for_2020_20250112.csv.gz,2025-01-12 23:13:13 UTC,https://data.cdc.gov/NCHS/AH-Provisional-COVID-19-Deaths-by-Quarter-County-a/ypxr-mz8e,"Provisional counts of deaths involving coronavirus disease 2019 (COVID-19) by United States county of residence and age group, for 2020 by quarter.",,"{'name': 'AH Provisional COVID-19 Deaths by Quarter, County and Age for 2020', 'id': 'ypxr-mz8e', 'description': 'Provisional counts of deaths involving coronavirus disease 2019 (COVID-19) by United States county of residence and age group, for 2020 by quarter.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/AH-Provisional-COVID-19-Deaths-by-Quarter-County-a/ypxr-mz8e'}"
AH Provisional COVID-19 Deaths by Race and Educational Attainment,i6ej-9eac,i6ej-9eac_1736713835.307202_AH_Provisional_COVID-19_Deaths_by_Race_and_Educational_Attainment_20250112.csv.gz,2025-01-12 20:30:35 UTC,https://data.cdc.gov/NCHS/AH-Provisional-COVID-19-Deaths-by-Race-and-Educati/i6ej-9eac,"Provisional counts of deaths in the United States by race and educational attainment. The dataset includes cumulative provisional counts of death for COVID-19, coded to ICD-10 code U07.1 as an underlying or multiple cause of death.",,"{'name': 'AH Provisional COVID-19 Deaths by Race and Educational Attainment', 'id': 'i6ej-9eac', 'description': 'Provisional counts of deaths in the United States by race and educational attainment. The dataset includes cumulative provisional counts of death for COVID-19, coded to ICD-10 code U07.1 as an underlying or multiple cause of death.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/AH-Provisional-COVID-19-Deaths-by-Race-and-Educati/i6ej-9eac'}"
AH Provisional COVID-19 Deaths by Week and Age,ikd3-vynf,ikd3-vynf_1736728936.136780_AH_Provisional_COVID-19_Deaths_by_Week_and_Age_20250113.csv.gz,2025-01-13 00:42:16 UTC,https://data.cdc.gov/NCHS/AH-Provisional-COVID-19-Deaths-by-Week-and-Age/ikd3-vynf,"Deaths involving coronavirus disease 2019 (COVID-19) reported to NCHS by jurisdiction of occurrence, week, and age group.",,"{'name': 'AH Provisional COVID-19 Deaths by Week and Age', 'id': 'ikd3-vynf', 'description': 'Deaths involving coronavirus disease 2019 (COVID-19) reported to NCHS by jurisdiction of occurrence, week, and age group.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/AH-Provisional-COVID-19-Deaths-by-Week-and-Age/ikd3-vynf'}"
"AH Provisional COVID-19 Deaths by Week, Place of Death, and Age",g7hk-rc8d,g7hk-rc8d_1736722585.377729_AH_Provisional_COVID-19_Deaths_by_Week__Place_of_Death__and_Age_20250112.csv.gz,2025-01-12 22:56:25 UTC,https://data.cdc.gov/NCHS/AH-Provisional-COVID-19-Deaths-by-Week-Place-of-De/g7hk-rc8d,"Provisional death counts of COVID-19 deaths by place of death, week, and age.

Data source: National Center for Health Statistics National Vital Statistics System. Provisional data for 2020-2021.",,"{'name': 'AH Provisional COVID-19 Deaths by Week, Place of Death, and Age', 'id': 'g7hk-rc8d', 'description': 'Provisional death counts of COVID-19 deaths by place of death, week, and age.\n\nData source: National Center for Health Statistics National Vital Statistics System. Provisional data for 2020-2021.', 'datatype': 'tabular', 'keywords': ['demographics', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/AH-Provisional-COVID-19-Deaths-by-Week-Place-of-De/g7hk-rc8d'}"
"AH Provisional COVID-19 Deaths by Week, Sex, and Race and Hispanic Origin",9z9x-g48e,9z9x-g48e_1736730941.523308_AH_Provisional_COVID-19_Deaths_by_Week__Sex__and_Race_and_Hispanic_Origin_20250113.csv.gz,2025-01-13 01:15:41 UTC,https://data.cdc.gov/NCHS/AH-Provisional-COVID-19-Deaths-by-Week-Sex-and-Rac/9z9x-g48e,"Deaths involving coronavirus disease 2019 (COVID-19) reported to NCHS by week, sex, and race and Hispanic origin. Deaths occurred in the United States.",,"{'name': 'AH Provisional COVID-19 Deaths by Week, Sex, and Race and Hispanic Origin', 'id': '9z9x-g48e', 'description': 'Deaths involving coronavirus disease 2019 (COVID-19) reported to NCHS by week, sex, and race and Hispanic origin. Deaths occurred in the United States.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/AH-Provisional-COVID-19-Deaths-by-Week-Sex-and-Rac/9z9x-g48e'}"
"AH Provisional Cancer Death Counts by Month and Year, 2020-2021",2na8-fe6s,2na8-fe6s_1736719722.324061_AH_Provisional_Cancer_Death_Counts_by_Month_and_Year__2020-2021_20250112.csv.gz,2025-01-12 22:08:42 UTC,https://data.cdc.gov/NCHS/AH-Provisional-Cancer-Death-Counts-by-Month-and-Ye/2na8-fe6s,"Provisional death counts of malignant neoplasms (cancer) by month and year, and other selected demographics, for 2020-2021. Data are based on death certificates for U.S. residents.",,"{'name': 'AH Provisional Cancer Death Counts by Month and Year, 2020-2021', 'id': '2na8-fe6s', 'description': 'Provisional death counts of malignant neoplasms (cancer) by month and year, and other selected demographics, for 2020-2021. Data are based on death certificates for U.S. residents.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/AH-Provisional-Cancer-Death-Counts-by-Month-and-Ye/2na8-fe6s'}"
AH Provisional Diabetes Death Counts for 2020,qdcb-uzft,qdcb-uzft_1736715768.047262_AH_Provisional_Diabetes_Death_Counts_for_2020_20250112.csv.gz,2025-01-12 21:02:48 UTC,https://data.cdc.gov/NCHS/AH-Provisional-Diabetes-Death-Counts-for-2020/qdcb-uzft,"Provisional death counts of diabetes, coronavirus disease 2019 (COVID-19) and other select causes of death, by month, sex, and age.",,"{'name': 'AH Provisional Diabetes Death Counts for 2020', 'id': 'qdcb-uzft', 'description': 'Provisional death counts of diabetes, coronavirus disease 2019 (COVID-19) and other select causes of death, by month, sex, and age.', 'datatype': 'tabular', 'keywords': ['demographics', 'health', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/AH-Provisional-Diabetes-Death-Counts-for-2020/qdcb-uzft'}"
"AH Quarterly Excess Deaths by State, Sex, Age, and Race",jqg8-ycmh,jqg8-ycmh_1736711717.846807_AH_Quarterly_Excess_Deaths_by_State__Sex__Age__and_Race_20250112.csv.gz,2025-01-12 19:55:17 UTC,https://data.cdc.gov/NCHS/AH-Quarterly-Excess-Deaths-by-State-Sex-Age-and-Ra/jqg8-ycmh,"Quarterly data on the number of deaths from all causes by state (of occurrence), sex, age group, and race/Hispanic origin group for the United States. Counts of deaths in more recent time periods can be compared with counts from earlier years (2015-2019) to determine if the number is higher than expected. Annual and cumulative counts (from Quarter 2, 2020 through the most recent quarter) are also shown.",,"{'name': 'AH Quarterly Excess Deaths by State, Sex, Age, and Race', 'id': 'jqg8-ycmh', 'description': 'Quarterly data on the number of deaths from all causes by state (of occurrence), sex, age group, and race/Hispanic origin group for the United States. Counts of deaths in more recent time periods can be compared with counts from earlier years (2015-2019) to determine if the number is higher than expected. Annual and cumulative counts (from Quarter 2, 2020 through the most recent quarter) are also shown.', 'datatype': 'tabular', 'keywords': ['demographics', 'infrastructure', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/AH-Quarterly-Excess-Deaths-by-State-Sex-Age-and-Ra/jqg8-ycmh'}"
AH Sickle Cell Disease Provisional Death Counts 2019-2021,3sh4-uqpm,3sh4-uqpm_1736722223.430255_AH_Sickle_Cell_Disease_Provisional_Death_Counts_2019-2021_20250112.csv.gz,2025-01-12 22:50:23 UTC,https://data.cdc.gov/NCHS/AH-Sickle-Cell-Disease-Provisional-Death-Counts-20/3sh4-uqpm,"Provisional death counts of sickle cell disease and coronavirus disease 2019 (COVID-19), by quarter, age, and race or Hispanic origin from 2019 through Quarter 1, 2021.",,"{'name': 'AH Sickle Cell Disease Provisional Death Counts 2019-2021', 'id': '3sh4-uqpm', 'description': 'Provisional death counts of sickle cell disease and coronavirus disease 2019 (COVID-19), by quarter, age, and race or Hispanic origin from 2019 through Quarter 1, 2021.', 'datatype': 'tabular', 'keywords': ['demographics', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/AH-Sickle-Cell-Disease-Provisional-Death-Counts-20/3sh4-uqpm'}"
ASTDD Synopses of State Oral Health Programs - Number of health agencies serving large jurisdictions with a dental program directed by a dental professional with public health training,vzz2-3hb7,vzz2-3hb7_1736726084.080850_ASTDD_Synopses_of_State_Oral_Health_Programs_-_Number_of_health_agencies_serving_large_jurisdictions_with_a_dental_program_directed_by_a_dental_professional_with_public_health_training_20250112.csv.gz,2025-01-12 23:54:44 UTC,https://data.cdc.gov/Oral-Health/ASTDD-Synopses-of-State-Oral-Health-Programs-Numbe/vzz2-3hb7,"2018. The ASTDD Synopses of State Oral Health Programs contain information useful in tracking states’ efforts to improve oral health and contributions to progress toward the national targets for Healthy People objectives for oral health. A subset of the information collected from the most recent five years is provided on the Oral Health Data website. For more information, see http://www.cdc.gov/oralhealthdata/overview/synopses/index.html",,"{'name': 'ASTDD Synopses of State Oral Health Programs - Number of health agencies serving large jurisdictions with a dental program directed by a dental professional with public health training', 'id': 'vzz2-3hb7', 'description': '2018. The ASTDD Synopses of State Oral Health Programs contain information useful in tracking states’ efforts to improve oral health and contributions to progress toward the national targets for Healthy People objectives for oral health. A subset of the information collected from the most recent five years is provided on the Oral Health Data website. For more information, see http://www.cdc.gov/oralhealthdata/overview/synopses/index.html', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Oral-Health/ASTDD-Synopses-of-State-Oral-Health-Programs-Numbe/vzz2-3hb7'}"
ASTDD Synopses of State Oral Health Programs - Selected indicators,vwmz-4ja3,vwmz-4ja3_1736716319.136548_ASTDD_Synopses_of_State_Oral_Health_Programs_-_Selected_indicators_20250112.csv.gz,2025-01-12 21:11:59 UTC,https://data.cdc.gov/Oral-Health/ASTDD-Synopses-of-State-Oral-Health-Programs-Selec/vwmz-4ja3,"2011-2022. The ASTDD Synopses of State Oral Health Programs contain information useful in tracking states’ efforts to improve oral health and contributions to progress toward the national targets for Healthy People objectives for oral health. A subset of the information collected from the most recent five years is provided on the Oral Health Data website. For more information, see http://www.cdc.gov/oralhealthdata/overview/synopses/index.html",,"{'name': 'ASTDD Synopses of State Oral Health Programs - Selected indicators', 'id': 'vwmz-4ja3', 'description': '2011-2022. The ASTDD Synopses of State Oral Health Programs contain information useful in tracking states’ efforts to improve oral health and contributions to progress toward the national targets for Healthy People objectives for oral health. A subset of the information collected from the most recent five years is provided on the Oral Health Data website. For more information, see http://www.cdc.gov/oralhealthdata/overview/synopses/index.html', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Oral-Health/ASTDD-Synopses-of-State-Oral-Health-Programs-Selec/vwmz-4ja3'}"
ASTDD Synopses of State Oral Health Programs - States with cleft lip/palate registries and referral systems,uac3-ned3,uac3-ned3_1736722237.306761_ASTDD_Synopses_of_State_Oral_Health_Programs_-_States_with_cleft_lip_palate_registries_and_referral_systems_20250112.csv.gz,2025-01-12 22:50:37 UTC,https://data.cdc.gov/Oral-Health/ASTDD-Synopses-of-State-Oral-Health-Programs-State/uac3-ned3,"2018. The ASTDD Synopses of State Oral Health Programs contain information useful in tracking states’ efforts to improve oral health and contributions to progress toward the national targets for Healthy People objectives for oral health. A subset of the information collected from the most recent five years is provided on the Oral Health Data website. For more information, see http://www.cdc.gov/oralhealthdata/overview/synopses/index.html",,"{'name': 'ASTDD Synopses of State Oral Health Programs - States with cleft lip/palate registries and referral systems', 'id': 'uac3-ned3', 'description': '2018. The ASTDD Synopses of State Oral Health Programs contain information useful in tracking states’ efforts to improve oral health and contributions to progress toward the national targets for Healthy People objectives for oral health. A subset of the information collected from the most recent five years is provided on the Oral Health Data website. For more information, see http://www.cdc.gov/oralhealthdata/overview/synopses/index.html', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Oral-Health/ASTDD-Synopses-of-State-Oral-Health-Programs-State/uac3-ned3'}"
ASTDD Synopses of State Oral Health Programs - States with dental directors or statewide oral health coalitions,473a-5348,473a-5348_1736721320.065759_ASTDD_Synopses_of_State_Oral_Health_Programs_-_States_with_dental_directors_or_statewide_oral_health_coalitions_20250112.csv.gz,2025-01-12 22:35:20 UTC,https://data.cdc.gov/Oral-Health/ASTDD-Synopses-of-State-Oral-Health-Programs-State/473a-5348,"2018. The ASTDD Synopses of State Oral Health Programs contain information useful in tracking states’ efforts to improve oral health and contributions to progress toward the national targets for Healthy People objectives for oral health. A subset of the information collected from the most recent five years is provided on the Oral Health Data website. For more information, see http://www.cdc.gov/oralhealthdata/overview/synopses/index.html",,"{'name': 'ASTDD Synopses of State Oral Health Programs - States with dental directors or statewide oral health coalitions', 'id': '473a-5348', 'description': '2018. The ASTDD Synopses of State Oral Health Programs contain information useful in tracking states’ efforts to improve oral health and contributions to progress toward the national targets for Healthy People objectives for oral health. A subset of the information collected from the most recent five years is provided on the Oral Health Data website. For more information, see http://www.cdc.gov/oralhealthdata/overview/synopses/index.html', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Oral-Health/ASTDD-Synopses-of-State-Oral-Health-Programs-State/473a-5348'}"
Access and Use of Telemedicine During COVID-19,8xy9-ubqz,8xy9-ubqz_1736713043.991070_Access_and_Use_of_Telemedicine_During_COVID-19_20250112.csv.gz,2025-01-12 20:17:23 UTC,https://data.cdc.gov/NCHS/Access-and-Use-of-Telemedicine-During-COVID-19/8xy9-ubqz,"The Research and Development Survey (RANDS) is a platform designed for conducting survey question evaluation and statistical research. RANDS is an ongoing series of surveys from probability-sampled commercial survey panels used for methodological research at the National Center for Health Statistics (NCHS). RANDS estimates are generated using an experimental approach that differs from the survey design approaches generally used by NCHS, including possible biases from different response patterns and sampling frames as well as increased variability from lower sample sizes. Use of the RANDS platform allows NCHS to produce more timely data than would be possible using traditional data collection methods. RANDS is not designed to replace NCHS’ higher quality, core data collections. Below are experimental estimates of telemedicine access and use for three rounds of RANDS during COVID-19. Data collection for the three rounds of RANDS during COVID-19 occurred between June 9, 2020 and July 6, 2020, August 3, 2020 and August 20, 2020, and May 17, 2021 and June 30, 2021. Information needed to interpret these estimates can be found in the Technical Notes. RANDS during COVID-19 included questions about whether providers offered telemedicine (including video and telephone appointments) in the last 2 months—both during and before the pandemic—and about the use of telemedicine in the last 2 months during the pandemic. As a result of the coronavirus pandemic, many local and state governments discouraged people from leaving their homes for nonessential reasons. Although health care is considered an essential activity, telemedicine offers an opportunity for care without the potential or perceived risks of leaving the home. The National Health Interview Survey, conducted by NCHS, added telemedicine questions to its sample adult questionnaire in July 2020.  The Household Pulse Survey (https://www.cdc.gov/nchs/covid19/pulse/telemedicine-use.htm), an online survey conducted in response to the COVID-19 pandemic by the Census Bureau in partnership with other federal agencies including NCHS, also reports estimates of telemedicine use during the pandemic (beginning in Phase 3.1, which started on April 14, 2021). The Household Pulse Survey reports telemedicine use in the last 4 weeks among adults and among households with at least one child under age 18 years. The experimental estimates on this page are derived from RANDS during COVID-19 and show the percentage of U.S. adults who have a usual place of care and a provider that offered telemedicine in the past 2 months, who used telemedicine in the past 2 months, or who have a usual place of care and a provider that offered telemedicine prior to the coronavirus pandemic. Technical Notes: https://www.cdc.gov/nchs/covid19/rands/telemedicine.htm#limitations",,"{'name': 'Access and Use of Telemedicine During COVID-19', 'id': '8xy9-ubqz', 'description': 'The Research and Development Survey (RANDS) is a platform designed for conducting survey question evaluation and statistical research. RANDS is an ongoing series of surveys from probability-sampled commercial survey panels used for methodological research at the National Center for Health Statistics (NCHS). RANDS estimates are generated using an experimental approach that differs from the survey design approaches generally used by NCHS, including possible biases from different response patterns and sampling frames as well as increased variability from lower sample sizes. Use of the RANDS platform allows NCHS to produce more timely data than would be possible using traditional data collection methods. RANDS is not designed to replace NCHS’ higher quality, core data collections. Below are experimental estimates of telemedicine access and use for three rounds of RANDS during COVID-19. Data collection for the three rounds of RANDS during COVID-19 occurred between June 9, 2020 and July 6, 2020, August 3, 2020 and August 20, 2020, and May 17, 2021 and June 30, 2021. Information needed to interpret these estimates can be found in the Technical Notes. RANDS during COVID-19 included questions about whether providers offered telemedicine (including video and telephone appointments) in the last 2 months—both during and before the pandemic—and about the use of telemedicine in the last 2 months during the pandemic. As a result of the coronavirus pandemic, many local and state governments discouraged people from leaving their homes for nonessential reasons. Although health care is considered an essential activity, telemedicine offers an opportunity for care without the potential or perceived risks of leaving the home. The National Health Interview Survey, conducted by NCHS, added telemedicine questions to its sample adult questionnaire in July 2020.  The Household Pulse Survey (https://www.cdc.gov/nchs/covid19/pulse/telemedicine-use.htm), an online survey conducted in response to the COVID-19 pandemic by the Census Bureau in partnership with other federal agencies including NCHS, also reports estimates of telemedicine use during the pandemic (beginning in Phase 3.1, which started on April 14, 2021). The Household Pulse Survey reports telemedicine use in the last 4 weeks among adults and among households with at least one child under age 18 years. The experimental estimates on this page are derived from RANDS during COVID-19 and show the percentage of U.S. adults who have a usual place of care and a provider that offered telemedicine in the past 2 months, who used telemedicine in the past 2 months, or who have a usual place of care and a provider that offered telemedicine prior to the coronavirus pandemic. Technical Notes: https://www.cdc.gov/nchs/covid19/rands/telemedicine.htm#limitations', 'datatype': 'tabular', 'keywords': ['demographics', 'health', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Access-and-Use-of-Telemedicine-During-COVID-19/8xy9-ubqz'}"
Active Bacterial Core surveillance (ABCs) Group A Streptococcus,9y49-tura,9y49-tura_1736728261.390704_Active_Bacterial_Core_surveillance__ABCs__Group_A_Streptococcus_20250113.csv.gz,2025-01-13 00:31:01 UTC,https://data.cdc.gov/Public-Health-Surveillance/Active-Bacterial-Core-surveillance-ABCs-Group-A-St/9y49-tura,"ABCs is an ongoing surveillance program that began in 1997. <a href=""https://www.cdc.gov/abcs/reports-findings/surv-reports.html"">ABCs reports</a> describe the ABCs case definition and the specific methodology used to calculate rates and estimated numbers in the United States for each bacterium by year.  The methods, <a href=""https://www.cdc.gov/abcs/methodology/surv-pop.html"">surveillance areas</a>, and <a href=""https://www.cdc.gov/abcs/methodology/surv-pop.html"" >laboratory isolate collection areas</a> have changed over time.
                Additionally, the way missing data are taken into account changed in 2010.  It went from distributing unknown values based on known values of cases by site to use of multiple imputation using a sequential regression imputation method.
                Given these changes over time, trends should be interpreted with caution.
<ul><li><a href=""http://www.cdc.gov/abcs/methodology/index.html"">Methodology</a>
Find details about surveillance population, case determination, surveillance evaluation, and more. </li> <li> <a href=""http://www.cdc.gov/abcs/reports-findings/index.html"">Reports and Findings</a>
Get official interpretations from reports and publications created from ABCs data.
</li>                </ul>",,"{'name': 'Active Bacterial Core surveillance (ABCs) Group A Streptococcus', 'id': '9y49-tura', 'description': 'ABCs is an ongoing surveillance program that began in 1997. <a href=""https://www.cdc.gov/abcs/reports-findings/surv-reports.html"">ABCs reports</a> describe the ABCs case definition and the specific methodology used to calculate rates and estimated numbers in the United States for each bacterium by year.  The methods, <a href=""https://www.cdc.gov/abcs/methodology/surv-pop.html"">surveillance areas</a>, and <a href=""https://www.cdc.gov/abcs/methodology/surv-pop.html"" >laboratory isolate collection areas</a> have changed over time.\n                Additionally, the way missing data are taken into account changed in 2010.  It went from distributing unknown values based on known values of cases by site to use of multiple imputation using a sequential regression imputation method.\n                Given these changes over time, trends should be interpreted with caution.\n<ul><li><a href=""http://www.cdc.gov/abcs/methodology/index.html"">Methodology</a>\nFind details about surveillance population, case determination, surveillance evaluation, and more. </li> <li> <a href=""http://www.cdc.gov/abcs/reports-findings/index.html"">Reports and Findings</a>\nGet official interpretations from reports and publications created from ABCs data.\n</li>                </ul>', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/Active-Bacterial-Core-surveillance-ABCs-Group-A-St/9y49-tura'}"
Active Bacterial Core surveillance (ABCs) Group B Streptococcus,95m5-agj4,95m5-agj4_1736724775.123922_Active_Bacterial_Core_surveillance__ABCs__Group_B_Streptococcus_20250112.csv.gz,2025-01-12 23:32:55 UTC,https://data.cdc.gov/Public-Health-Surveillance/Active-Bacterial-Core-surveillance-ABCs-Group-B-St/95m5-agj4,"ABCs is an ongoing surveillance program that began in 1997. <a href=""https://www.cdc.gov/abcs/reports-findings/surv-reports.html"">ABCs reports</a> describe the ABCs case definition and the specific methodology used to calculate rates and estimated numbers in the United States for each bacterium by year.  The methods, <a href=""https://www.cdc.gov/abcs/methodology/surv-pop.html"">surveillance areas</a>, and <a href=""https://www.cdc.gov/abcs/methodology/surv-pop.html"">laboratory isolate collection areas</a> have changed over time.
                Additionally, the way missing data are taken into account changed in 2010.  It went from distributing unknown values based on known values of cases by site to use of multiple imputation using a sequential regression imputation method.
                Given these changes over time, trends should be interpreted with caution.
<ul><li> <a href=""http://www.cdc.gov/abcs/methodology/index.html"">Methodology</a>
Find details about surveillance population, case determination, surveillance evaluation, and more. </li> <li><a href=""http://www.cdc.gov/abcs/reports-findings/index.html"">Reports and Findings</a>
Get official interpretations from reports and publications created from ABCs data.
 </li>                </ul>",,"{'name': 'Active Bacterial Core surveillance (ABCs) Group B Streptococcus', 'id': '95m5-agj4', 'description': 'ABCs is an ongoing surveillance program that began in 1997. <a href=""https://www.cdc.gov/abcs/reports-findings/surv-reports.html"">ABCs reports</a> describe the ABCs case definition and the specific methodology used to calculate rates and estimated numbers in the United States for each bacterium by year.  The methods, <a href=""https://www.cdc.gov/abcs/methodology/surv-pop.html"">surveillance areas</a>, and <a href=""https://www.cdc.gov/abcs/methodology/surv-pop.html"">laboratory isolate collection areas</a> have changed over time.\n                Additionally, the way missing data are taken into account changed in 2010.  It went from distributing unknown values based on known values of cases by site to use of multiple imputation using a sequential regression imputation method.\n                Given these changes over time, trends should be interpreted with caution.\n<ul><li> <a href=""http://www.cdc.gov/abcs/methodology/index.html"">Methodology</a>\nFind details about surveillance population, case determination, surveillance evaluation, and more. </li> <li><a href=""http://www.cdc.gov/abcs/reports-findings/index.html"">Reports and Findings</a>\nGet official interpretations from reports and publications created from ABCs data.\n </li>                </ul>', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/Active-Bacterial-Core-surveillance-ABCs-Group-B-St/95m5-agj4'}"
Active Bacterial Core surveillance (ABCs) Haemophilus influenzae,uxwq-vny5,uxwq-vny5_1736731677.535304_Active_Bacterial_Core_surveillance__ABCs__Haemophilus_influenzae_20250113.csv.gz,2025-01-13 01:27:57 UTC,https://data.cdc.gov/Public-Health-Surveillance/Active-Bacterial-Core-surveillance-ABCs-Haemophilu/uxwq-vny5,"ABCs is an ongoing surveillance program that began in 1997. <a href=""https://www.cdc.gov/abcs/reports-findings/surv-reports.html"">ABCs reports</a> describe the ABCs case definition and the specific methodology used to calculate rates and estimated numbers in the United States for each bacterium by year.  The methods, <a href=""https://www.cdc.gov/abcs/methodology/surv-pop.html"">surveillance areas</a>, and <a href=""https://www.cdc.gov/abcs/methodology/surv-pop.html"">laboratory isolate collection areas</a> have changed over time.
                Additionally, the way missing data are taken into account changed in 2010.  It went from distributing unknown values based on known values of cases by site to use of multiple imputation using a sequential regression imputation method.
                Given these changes over time, trends should be interpreted with caution.
<ul> <li> <a href=""http://www.cdc.gov/abcs/methodology/index.html"">Methodology</a>
Find details about surveillance population, case determination, surveillance evaluation, and more. </li>                    <li> <a href=""http://www.cdc.gov/abcs/reports-findings/index.html"">Reports and Findings</a>
Get official interpretations from reports and publications created from ABCs data. </li>
  </ul>",,"{'name': 'Active Bacterial Core surveillance (ABCs) Haemophilus influenzae', 'id': 'uxwq-vny5', 'description': 'ABCs is an ongoing surveillance program that began in 1997. <a href=""https://www.cdc.gov/abcs/reports-findings/surv-reports.html"">ABCs reports</a> describe the ABCs case definition and the specific methodology used to calculate rates and estimated numbers in the United States for each bacterium by year.  The methods, <a href=""https://www.cdc.gov/abcs/methodology/surv-pop.html"">surveillance areas</a>, and <a href=""https://www.cdc.gov/abcs/methodology/surv-pop.html"">laboratory isolate collection areas</a> have changed over time.\n                Additionally, the way missing data are taken into account changed in 2010.  It went from distributing unknown values based on known values of cases by site to use of multiple imputation using a sequential regression imputation method.\n                Given these changes over time, trends should be interpreted with caution.\n<ul> <li> <a href=""http://www.cdc.gov/abcs/methodology/index.html"">Methodology</a>\nFind details about surveillance population, case determination, surveillance evaluation, and more. </li>                    <li> <a href=""http://www.cdc.gov/abcs/reports-findings/index.html"">Reports and Findings</a>\nGet official interpretations from reports and publications created from ABCs data. </li>\n  </ul>', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/Active-Bacterial-Core-surveillance-ABCs-Haemophilu/uxwq-vny5'}"
Active Bacterial Core surveillance (ABCs) Neisseria meningitidis,8bda-nhxv,8bda-nhxv_1736731221.711052_Active_Bacterial_Core_surveillance__ABCs__Neisseria_meningitidis_20250113.csv.gz,2025-01-13 01:20:21 UTC,https://data.cdc.gov/Public-Health-Surveillance/Active-Bacterial-Core-surveillance-ABCs-Neisseria-/8bda-nhxv,"<p>ABCs is an ongoing surveillance program that began in 1997. <a href=""https://www.cdc.gov/abcs/reports-findings/surv-reports.html"">ABCs reports</a> describe the ABCs case definition and the specific methodology used to calculate rates and estimated numbers in the United States for each bacterium by year.  The methods, <a href=""https://www.cdc.gov/abcs/methodology/surv-pop.html"">surveillance areas</a>, and <a href=""https://www.cdc.gov/abcs/methodology/surv-pop.html"">laboratory isolate collection areas</a> have changed over time.
                Additionally, the way missing data are taken into account changed in 2010.  It went from distributing unknown values based on known values of cases by site to use of multiple imputation using a sequential regression imputation method.
                Given these changes over time, trends should be interpreted with caution.
<ul> <li> <a href=""http://www.cdc.gov/abcs/methodology/index.html"">Methodology</a>
Find details about surveillance population, case determination, surveillance evaluation, and more. </li>                    <li> <a href=""http://www.cdc.gov/abcs/reports-findings/index.html"">Reports and Findings</a>
Get official interpretations from reports and publications created from ABCs data. </li>
  </ul>",,"{'name': 'Active Bacterial Core surveillance (ABCs) Neisseria meningitidis', 'id': '8bda-nhxv', 'description': '<p>ABCs is an ongoing surveillance program that began in 1997. <a href=""https://www.cdc.gov/abcs/reports-findings/surv-reports.html"">ABCs reports</a> describe the ABCs case definition and the specific methodology used to calculate rates and estimated numbers in the United States for each bacterium by year.  The methods, <a href=""https://www.cdc.gov/abcs/methodology/surv-pop.html"">surveillance areas</a>, and <a href=""https://www.cdc.gov/abcs/methodology/surv-pop.html"">laboratory isolate collection areas</a> have changed over time.\n                Additionally, the way missing data are taken into account changed in 2010.  It went from distributing unknown values based on known values of cases by site to use of multiple imputation using a sequential regression imputation method.\n                Given these changes over time, trends should be interpreted with caution.\n<ul> <li> <a href=""http://www.cdc.gov/abcs/methodology/index.html"">Methodology</a>\nFind details about surveillance population, case determination, surveillance evaluation, and more. </li>                    <li> <a href=""http://www.cdc.gov/abcs/reports-findings/index.html"">Reports and Findings</a>\nGet official interpretations from reports and publications created from ABCs data. </li>\n  </ul>', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/Active-Bacterial-Core-surveillance-ABCs-Neisseria-/8bda-nhxv'}"
Active Bacterial Core surveillance (ABCs) Streptococcus pneumoniae,en3s-hzsr,en3s-hzsr_1736720970.471003_Active_Bacterial_Core_surveillance__ABCs__Streptococcus_pneumoniae_20250112.csv.gz,2025-01-12 22:29:30 UTC,https://data.cdc.gov/Public-Health-Surveillance/Active-Bacterial-Core-surveillance-ABCs-Streptococ/en3s-hzsr,"ABCs is an ongoing surveillance program that began in 1997. <a href=""https://www.cdc.gov/abcs/reports-findings/surv-reports.html"">ABCs reports</a> describe the ABCs case definition and the specific methodology used to calculate rates and estimated numbers in the United States for each bacterium by year.  The methods, <a href=""https://www.cdc.gov/abcs/methodology/surv-pop.html"">surveillance areas</a>, and <a href=""https://www.cdc.gov/abcs/methodology/surv-pop.html"">laboratory isolate collection areas</a> have changed over time.
                Additionally, the way missing data are taken into account changed in 2010.  It went from distributing unknown values based on known values of cases by site to use of multiple imputation using a sequential regression imputation method.
                Given these changes over time, trends should be interpreted with caution.
<ul>  <li> <a href=""http://www.cdc.gov/abcs/methodology/index.html"">Methodology</a>
                Find details about surveillance population, case determination, surveillance evaluation, and more.  </li>                    <li> <a href=""http://www.cdc.gov/abcs/reports-findings/index.html"">Reports and Findings</a>  
                 Get official interpretations from reports and publications created from ABCs data.        </li> </ul>",,"{'name': 'Active Bacterial Core surveillance (ABCs) Streptococcus pneumoniae', 'id': 'en3s-hzsr', 'description': 'ABCs is an ongoing surveillance program that began in 1997. <a href=""https://www.cdc.gov/abcs/reports-findings/surv-reports.html"">ABCs reports</a> describe the ABCs case definition and the specific methodology used to calculate rates and estimated numbers in the United States for each bacterium by year.  The methods, <a href=""https://www.cdc.gov/abcs/methodology/surv-pop.html"">surveillance areas</a>, and <a href=""https://www.cdc.gov/abcs/methodology/surv-pop.html"">laboratory isolate collection areas</a> have changed over time.\n                Additionally, the way missing data are taken into account changed in 2010.  It went from distributing unknown values based on known values of cases by site to use of multiple imputation using a sequential regression imputation method.\n                Given these changes over time, trends should be interpreted with caution.\n<ul>  <li> <a href=""http://www.cdc.gov/abcs/methodology/index.html"">Methodology</a>\n                Find details about surveillance population, case determination, surveillance evaluation, and more.  </li>                    <li> <a href=""http://www.cdc.gov/abcs/reports-findings/index.html"">Reports and Findings</a>  \n                 Get official interpretations from reports and publications created from ABCs data.        </li> </ul>', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/Active-Bacterial-Core-surveillance-ABCs-Streptococ/en3s-hzsr'}"
"Adult Tobacco Consumption In The U.S., 2000-Present",rnvb-cpxx,rnvb-cpxx_1736712103.472597_Adult_Tobacco_Consumption_In_The_U.S.__2000-Present_20250112.csv.gz,2025-01-12 20:01:43 UTC,https://data.cdc.gov/Policy/Adult-Tobacco-Consumption-In-The-U-S-2000-Present/rnvb-cpxx,"2000 to Present. Adult Tobacco Consumption in the U.S. This dataset highlights critical trends in adult total and per capita consumption of both combustible (cigarettes, little cigars, small cigars, pipe tobacco, roll-your-own tobacco) tobacco products and smokeless (chewing tobacco and snuff) tobacco from 2000 to present. To view the CDC MMWR report, please visit https://www.cdc.gov/mmwr/volumes/65/wr/mm6548a1.htm.",,"{'name': 'Adult Tobacco Consumption In The U.S., 2000-Present', 'id': 'rnvb-cpxx', 'description': '2000 to Present. Adult Tobacco Consumption in the U.S. This dataset highlights critical trends in adult total and per capita consumption of both combustible (cigarettes, little cigars, small cigars, pipe tobacco, roll-your-own tobacco) tobacco products and smokeless (chewing tobacco and snuff) tobacco from 2000 to present. To view the CDC MMWR report, please visit https://www.cdc.gov/mmwr/volumes/65/wr/mm6548a1.htm.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Policy/Adult-Tobacco-Consumption-In-The-U-S-2000-Present/rnvb-cpxx'}"
Age-Related Disparities in Cigarette Smoking Among Adults,p6r5-duca,p6r5-duca_1736738372.518954_Age-Related_Disparities_in_Cigarette_Smoking_Among_Adults_20250113.csv.gz,2025-01-13 03:19:32 UTC,https://data.cdc.gov/Survey-Data/Age-Related-Disparities-in-Cigarette-Smoking-Among/p6r5-duca,"2011–2023. The tobacco disparities dashboard data utilized the Behavioral Risk Factor Surveillance System (BRFSS) data to measure cigarette smoking disparities by age. The disparity value is the relative difference in the cigarette smoking prevalence among adults 18 and older in a focus group divided by the cigarette smoking prevalence among adults 18 and older in a reference group. A disparity value above 1 indicates that adults in the focus group smoke cigarettes at a higher rate, as reflected by the disparity value, compared with the rate among adults in the reference group who smoke cigarettes. A disparity value below 1 indicates that adults in the focus group smoke cigarettes at a lower rate, as reflected by the disparity value, compared with the rate among adults in the reference group who smoke cigarettes. A disparity value of 1 means there is no relative difference in the rate of adults who smoke cigarettes for the two groups compared.",,"{'name': 'Age-Related Disparities in Cigarette Smoking Among Adults', 'id': 'p6r5-duca', 'description': '2011–2023. The tobacco disparities dashboard data utilized the Behavioral Risk Factor Surveillance System (BRFSS) data to measure cigarette smoking disparities by age. The disparity value is the relative difference in the cigarette smoking prevalence among adults 18 and older in a focus group divided by the cigarette smoking prevalence among adults 18 and older in a reference group. A disparity value above 1 indicates that adults in the focus group smoke cigarettes at a higher rate, as reflected by the disparity value, compared with the rate among adults in the reference group who smoke cigarettes. A disparity value below 1 indicates that adults in the focus group smoke cigarettes at a lower rate, as reflected by the disparity value, compared with the rate among adults in the reference group who smoke cigarettes. A disparity value of 1 means there is no relative difference in the rate of adults who smoke cigarettes for the two groups compared.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Survey-Data/Age-Related-Disparities-in-Cigarette-Smoking-Among/p6r5-duca'}"
Air Quality Measures on the National Environmental Health Tracking Network,cjae-szjv,cjae-szjv_1736711778.683653_Air_Quality_Measures_on_the_National_Environmental_Health_Tracking_Network_20250112.csv.gz,2025-01-12 19:56:18 UTC,https://data.cdc.gov/Environmental-Health-Toxicology/Air-Quality-Measures-on-the-National-Environmental/cjae-szjv,"The Environmental Protection Agency (EPA) provides air pollution data about ozone and particulate matter (PM2.5) to CDC for the Tracking Network. The EPA maintains a database called the Air Quality System (AQS) which contains data from approximately 4,000 monitoring stations around the country, mainly in urban areas. Data from the AQS is considered the ""gold standard"" for determining outdoor air pollution. However, AQS data are limited because the monitoring stations are usually in urban areas or cities and because they only take air samples for some air pollutants every three days or during times of the year when air pollution is very high. CDC and EPA have worked together to develop a statistical model (Downscaler) to make modeled predictions available for environmental public health tracking purposes in areas of the country that do not have monitors and to fill in the time gaps when monitors may not be recording data. This data does not include ""Percent of population in counties exceeding NAAQS (vs. population in counties that either meet the standard or do not monitor PM2.5)"". Please visit the Tracking homepage for this information.View additional information for indicator definitions and documentation by selecting Content Area ""Air Quality"" and the respective indicator at the following website: http://ephtracking.cdc.gov/showIndicatorsData.action",,"{'name': 'Air Quality Measures on the National Environmental Health Tracking Network', 'id': 'cjae-szjv', 'description': 'The Environmental Protection Agency (EPA) provides air pollution data about ozone and particulate matter (PM2.5) to CDC for the Tracking Network. The EPA maintains a database called the Air Quality System (AQS) which contains data from approximately 4,000 monitoring stations around the country, mainly in urban areas. Data from the AQS is considered the ""gold standard"" for determining outdoor air pollution. However, AQS data are limited because the monitoring stations are usually in urban areas or cities and because they only take air samples for some air pollutants every three days or during times of the year when air pollution is very high. CDC and EPA have worked together to develop a statistical model (Downscaler) to make modeled predictions available for environmental public health tracking purposes in areas of the country that do not have monitors and to fill in the time gaps when monitors may not be recording data. This data does not include ""Percent of population in counties exceeding NAAQS (vs. population in counties that either meet the standard or do not monitor PM2.5)"". Please visit the Tracking homepage for this information.View additional information for indicator definitions and documentation by selecting Content Area ""Air Quality"" and the respective indicator at the following website: http://ephtracking.cdc.gov/showIndicatorsData.action', 'datatype': 'tabular', 'keywords': ['demographics', 'health', 'environment', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Environmental-Health-Toxicology/Air-Quality-Measures-on-the-National-Environmental/cjae-szjv'}"
Alzheimer's Disease and Healthy Aging Data,hfr9-rurv,hfr9-rurv_1736709838.254636_Alzheimer_s_Disease_and_Healthy_Aging_Data_20250112.csv.gz,2025-01-12 19:23:58 UTC,https://data.cdc.gov/Healthy-Aging/Alzheimer-s-Disease-and-Healthy-Aging-Data/hfr9-rurv,2015-2022. This data set contains data from BRFSS.,,"{'name': ""Alzheimer's Disease and Healthy Aging Data"", 'id': 'hfr9-rurv', 'description': '2015-2022. This data set contains data from BRFSS.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Healthy-Aging/Alzheimer-s-Disease-and-Healthy-Aging-Data/hfr9-rurv'}"
Alzheimer's Disease and Healthy Aging Indicators: Caregiving,xs7u-t3bn,xs7u-t3bn_1736723408.029515_Alzheimer_s_Disease_and_Healthy_Aging_Indicators__Caregiving_20250112.csv.gz,2025-01-12 23:10:08 UTC,https://data.cdc.gov/Healthy-Aging/Alzheimer-s-Disease-and-Healthy-Aging-Indicators-C/xs7u-t3bn,2015-2022. The data in this filtered view come from the BRFSS data set.,,"{'name': ""Alzheimer's Disease and Healthy Aging Indicators: Caregiving"", 'id': 'xs7u-t3bn', 'description': '2015-2022. The data in this filtered view come from the BRFSS data set.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Healthy-Aging/Alzheimer-s-Disease-and-Healthy-Aging-Indicators-C/xs7u-t3bn'}"
Alzheimer's Disease and Healthy Aging Indicators: Cognitive Decline,jhd5-u276,jhd5-u276_1736715453.432356_Alzheimer_s_Disease_and_Healthy_Aging_Indicators__Cognitive_Decline_20250112.csv.gz,2025-01-12 20:57:33 UTC,https://data.cdc.gov/Healthy-Aging/Alzheimer-s-Disease-and-Healthy-Aging-Indicators-C/jhd5-u276,2015-2022. The data in this filtered view come from the BRFSS data set.,,"{'name': ""Alzheimer's Disease and Healthy Aging Indicators: Cognitive Decline"", 'id': 'jhd5-u276', 'description': '2015-2022. The data in this filtered view come from the BRFSS data set.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Healthy-Aging/Alzheimer-s-Disease-and-Healthy-Aging-Indicators-C/jhd5-u276'}"
American Rescue Plan (ARP) Rural Payments,8v6a-z6zq,8v6a-z6zq_1736708366.982456_American_Rescue_Plan__ARP__Rural_Payments_20250112.csv.gz,2025-01-12 18:59:26 UTC,https://data.cdc.gov/Administrative/American-Rescue-Plan-ARP-Rural-Payments/8v6a-z6zq,"The U.S. Department of Health and Human Services (HHS) via the Health Resources and Services Administration (HRSA) is releasing American Rescue Plan payments to providers and suppliers who have served rural Medicaid, Children's Health Insurance Program (CHIP), and Medicare beneficiaries from January 1, 2019 through September 30, 2020. The dataset will be updated as additional payments are released. Data does not reflect recipients’ attestation status, returned payments, or unclaimed funds.",,"{'name': 'American Rescue Plan (ARP) Rural Payments', 'id': '8v6a-z6zq', 'description': ""The U.S. Department of Health and Human Services (HHS) via the Health Resources and Services Administration (HRSA) is releasing American Rescue Plan payments to providers and suppliers who have served rural Medicaid, Children's Health Insurance Program (CHIP), and Medicare beneficiaries from January 1, 2019 through September 30, 2020. The dataset will be updated as additional payments are released. Data does not reflect recipients’ attestation status, returned payments, or unclaimed funds."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Administrative/American-Rescue-Plan-ARP-Rural-Payments/8v6a-z6zq'}"
An aggregated dataset of serially collected influenza A virus morbidity and titer measurements from virus-infected ferrets.,cr56-k9wj,cr56-k9wj_1736731276.126537_An_aggregated_dataset_of_serially_collected_influenza_A_virus_morbidity_and_titer_measurements_from_virus-infected_ferrets._20250113.csv.gz,2025-01-13 01:21:16 UTC,https://data.cdc.gov/National-Center-for-Immunization-and-Respiratory-D/An-aggregated-dataset-of-serially-collected-influe/cr56-k9wj,"Data from influenza A virus (IAV) infected ferrets (Mustela putorius furo) provides invaluable information towards the study of novel and emerging viruses that pose a threat to human health. This gold standard animal model can recapitulate many clinical signs of infection present in IAV-infected humans, support virus replication of human and zoonotic strains without prior adaptation, and permit evaluation of virus transmissibility by multiple modes. While ferrets have been employed in risk assessment settings for >20 years, results from this work are typically reported in discrete stand-alone publications, making aggregation of raw data from this work over time nearly impossible. Here, we describe a dataset of 728 ferrets inoculated with 126 unique IAV, conducted by a single research group (NCIRD/ID/IPB/Pathogenesis Laboratory Team) under a uniform experimental protocol. This collection of morbidity, mortality, and viral titer data represents the largest publicly available dataset to date of in vivo-generated IAV infection outcomes on a per-individual ferret level.

Published Data Descriptor for more information:
Kieran TJ, Sun X, Creager HM, Tumpey TM, Maine TR, Belser JA. 2024. An aggregated dataset of serial morbidity and titer measurements from influenza A virus-infected ferrets. Sci Data 11, 510. https://doi.org/10.1038/s41597-024-03256-6

Additional publications using and describing data:
Kieran TJ, Sun X, Maines TR, Beauchemin CAA, Belser JA. 2024. Exploring associations between viral titer measurements and disease outcomes in ferrets inoculated with 125 contemporary influenza A viruses. J Virol98:e01661-23.https://doi.org/10.1128/jvi.01661-23

Belser JA, Kieran TJ, Mitchell ZA, Sun X, Mayfield K, Tumpey TM, Spengler JR, Maines TR. 2024. Key considerations to improve the normalization, interpretation and reproducibility of morbidity data in mammalian models of viral disease. Dis Model Mech; 17 (3): dmm050511. doi: https://doi.org/10.1242/dmm.050511

Kieran TJ, Sun X, Maines TR, Belser JA. 2024. Machine learning approaches for influenza A virus risk assessment identifies predictive correlates using ferret model in vivo data. Communications Biology 7, 927. https://doi.org/10.1038/s42003-024-06629-0",,"{'name': 'An aggregated dataset of serially collected influenza A virus morbidity and titer measurements from virus-infected ferrets.', 'id': 'cr56-k9wj', 'description': 'Data from influenza A virus (IAV) infected ferrets (Mustela putorius furo) provides invaluable information towards the study of novel and emerging viruses that pose a threat to human health. This gold standard animal model can recapitulate many clinical signs of infection present in IAV-infected humans, support virus replication of human and zoonotic strains without prior adaptation, and permit evaluation of virus transmissibility by multiple modes. While ferrets have been employed in risk assessment settings for >20 years, results from this work are typically reported in discrete stand-alone publications, making aggregation of raw data from this work over time nearly impossible. Here, we describe a dataset of 728 ferrets inoculated with 126 unique IAV, conducted by a single research group (NCIRD/ID/IPB/Pathogenesis Laboratory Team) under a uniform experimental protocol. This collection of morbidity, mortality, and viral titer data represents the largest publicly available dataset to date of in vivo-generated IAV infection outcomes on a per-individual ferret level.\n\nPublished Data Descriptor for more information:\nKieran TJ, Sun X, Creager HM, Tumpey TM, Maine TR, Belser JA. 2024. An aggregated dataset of serial morbidity and titer measurements from influenza A virus-infected ferrets. Sci Data 11, 510. https://doi.org/10.1038/s41597-024-03256-6\n\nAdditional publications using and describing data:\nKieran TJ, Sun X, Maines TR, Beauchemin CAA, Belser JA. 2024. Exploring associations between viral titer measurements and disease outcomes in ferrets inoculated with 125 contemporary influenza A viruses. J Virol98:e01661-23.https://doi.org/10.1128/jvi.01661-23\n\nBelser JA, Kieran TJ, Mitchell ZA, Sun X, Mayfield K, Tumpey TM, Spengler JR, Maines TR. 2024. Key considerations to improve the normalization, interpretation and reproducibility of morbidity data in mammalian models of viral disease. Dis Model Mech; 17 (3): dmm050511. doi: https://doi.org/10.1242/dmm.050511\n\nKieran TJ, Sun X, Maines TR, Belser JA. 2024. Machine learning approaches for influenza A virus risk assessment identifies predictive correlates using ferret model in vivo data. Communications Biology 7, 927. https://doi.org/10.1038/s42003-024-06629-0', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/National-Center-for-Immunization-and-Respiratory-D/An-aggregated-dataset-of-serially-collected-influe/cr56-k9wj'}"
"Archive: COVID-19 LTC Program Vaccinations and Trends in the United States, Jurisdiction",egm8-9wq7,egm8-9wq7_1736711385.997363_Archive__COVID-19_LTC_Program_Vaccinations_and_Trends_in_the_United_States__Jurisdiction_20250112.csv.gz,2025-01-12 19:49:45 UTC,https://data.cdc.gov/Vaccinations/Archive-COVID-19-LTC-Program-Vaccinations-and-Tren/egm8-9wq7,"The Federal Pharmacy Partnership for Long-Term Care (LTC) Program was a partnership between CDC and CVS, Walgreens, and Managed Health Care Associates, Inc. The program offered on-site COVID-19 vaccination services for residents of nursing homes and assisted living facilities. The Federal Pharmacy Partnership for LTC Program was in effect after vaccines became available to April 23, 2021. This is the historical archived data related to the LTC Program and represents data that was shown on COVID Data Tracker through September 30, 2021. Twelve variables that provided data on residents and staff vaccinated through the program were removed from the COVID-19 Vaccinations in the United States,Jurisdiction dataset. LTC was removed as an option from the location variable in the following datasets: COVID-19 Vaccinations in the United States,Jurisdiction and COVID-19 Vaccination Trends in the United States,National and Jurisdictional.",,"{'name': 'Archive: COVID-19 LTC Program Vaccinations and Trends in the United States, Jurisdiction', 'id': 'egm8-9wq7', 'description': 'The Federal Pharmacy Partnership for Long-Term Care (LTC) Program was a partnership between CDC and CVS, Walgreens, and Managed Health Care Associates, Inc. The program offered on-site COVID-19 vaccination services for residents of nursing homes and assisted living facilities. The Federal Pharmacy Partnership for LTC Program was in effect after vaccines became available to April 23, 2021. This is the historical archived data related to the LTC Program and represents data that was shown on COVID Data Tracker through September 30, 2021. Twelve variables that provided data on residents and staff vaccinated through the program were removed from\xa0the\xa0COVID-19 Vaccinations in the United States,Jurisdiction dataset. LTC was removed as an option from the location variable in the following datasets: COVID-19 Vaccinations in the United States,Jurisdiction and COVID-19 Vaccination Trends in the United States,National and Jurisdictional.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/Archive-COVID-19-LTC-Program-Vaccinations-and-Tren/egm8-9wq7'}"
"Archive: COVID-19 Vaccination Demographic Trends by Report Date, National",2vpi-n544,2vpi-n544_1736713057.473513_Archive__COVID-19_Vaccination_Demographic_Trends_by_Report_Date__National_20250112.csv.gz,2025-01-12 20:17:37 UTC,https://data.cdc.gov/Vaccinations/Archive-COVID-19-Vaccination-Demographic-Trends-by/2vpi-n544,"This data dictionary provides information about archived demographic trend data for people receiving COVID-19 vaccinations in the United States at the national level. Data represents all vaccine partners including jurisdictional partner clinics, retail pharmacies, long-term care facilities, dialysis centers, Federal Emergency Management Agency and Health Resources and Services Administration partner sites, and federal entity facilities. 

These data have been archived to provide historical demographic trend data for COVID-19 vaccine recipients prior to CDC converting the Vaccination Demographic Trends site to using data based on the date of vaccine administration. Previously, the Vaccination Demographic Trends site presented trend data by the date the vaccination was reported to CDC.",,"{'name': 'Archive: COVID-19 Vaccination Demographic Trends by Report Date, National', 'id': '2vpi-n544', 'description': 'This data dictionary provides information about archived demographic trend data for people receiving COVID-19 vaccinations in the United States at the national level. Data represents all vaccine partners including jurisdictional partner clinics, retail pharmacies, long-term care facilities, dialysis centers, Federal Emergency Management Agency and Health Resources and Services Administration partner sites, and federal entity facilities. \n\nThese data have been archived to provide historical demographic trend data for COVID-19 vaccine recipients prior to CDC converting the Vaccination Demographic Trends site to using data based on the date of vaccine administration. Previously, the Vaccination Demographic Trends site presented trend data by the date the vaccination was reported to CDC.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/Archive-COVID-19-Vaccination-Demographic-Trends-by/2vpi-n544'}"
"Archive: COVID-19 Vaccination and Case Trends by Age Group, United States",gxj9-t96f,gxj9-t96f_1736707984.579230_Archive__COVID-19_Vaccination_and_Case_Trends_by_Age_Group__United_States_20250112.csv.gz,2025-01-12 18:53:04 UTC,https://data.cdc.gov/Vaccinations/Archive-COVID-19-Vaccination-and-Case-Trends-by-Ag/gxj9-t96f,"</p><p style=""margin:0in;vertical-align:baseline;""><strong><em><span style='font-size:15px;font-family:""Calibri"",sans-serif;color:black;'>After October 13, 2022, this dataset will no longer be updated as the related CDC COVID Data Tracker site was retired on October 13, 2022.</span></em></strong><span style='font-size:15px;font-family:""Calibri"",sans-serif;color:black;'>&nbsp;</span></p>This dataset contains historical trends in vaccinations and cases by age group, at the US national level. Data is stratified by at least one dose and fully vaccinated. Data also represents all vaccine partners including jurisdictional partner clinics, retail pharmacies, long-term care facilities, dialysis centers, Federal Emergency Management Agency and Health Resources and Services Administration partner sites, and federal entity facilities.",,"{'name': 'Archive: COVID-19 Vaccination and Case Trends by Age Group, United States', 'id': 'gxj9-t96f', 'description': '</p><p style=""margin:0in;vertical-align:baseline;""><strong><em><span style=\'font-size:15px;font-family:""Calibri"",sans-serif;color:black;\'>After October 13, 2022, this dataset will no longer be updated as the related CDC COVID Data Tracker site was retired on October 13, 2022.</span></em></strong><span style=\'font-size:15px;font-family:""Calibri"",sans-serif;color:black;\'>&nbsp;</span></p>This dataset contains historical trends in vaccinations and cases by age group, at the US national level. Data is stratified by at least one dose and fully vaccinated. Data also represents all vaccine partners including jurisdictional partner clinics, retail pharmacies, long-term care facilities, dialysis centers, Federal Emergency Management Agency and Health Resources and Services Administration partner sites, and federal entity facilities.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/Archive-COVID-19-Vaccination-and-Case-Trends-by-Ag/gxj9-t96f'}"
"Asthma in children younger than age 18, by selected characteristics: United States.",aewi-gwni,aewi-gwni_1736736556.405734_Asthma_in_children_younger_than_age_18__by_selected_characteristics__United_States._20250113.csv.gz,2025-01-13 02:49:16 UTC,https://data.cdc.gov/NCHS/Asthma-in-children-younger-than-age-18-by-selected/aewi-gwni,"Data on asthma in children younger than age 18 in the United States, by selected characteristics. Data are from Health, United States. Source: National Center for Health Statistics, National Health Interview Survey.",,"{'name': 'Asthma in children younger than age 18, by selected characteristics: United States.', 'id': 'aewi-gwni', 'description': 'Data on asthma in children younger than age 18 in the United States, by selected characteristics. Data are from Health, United States. Source: National Center for Health Statistics, National Health Interview Survey.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Asthma-in-children-younger-than-age-18-by-selected/aewi-gwni'}"
BEAM Dashboard - Isolates by HHS Region,khic-yj26,khic-yj26_1736725705.151394_BEAM_Dashboard_-_Isolates_by_HHS_Region_20250112.csv.gz,2025-01-12 23:48:25 UTC,https://data.cdc.gov/Foodborne-Waterborne-and-Related-Diseases/BEAM-Dashboard-Isolates-by-HHS-Region/khic-yj26,"The BEAM (Bacteria, Enterics, Amoeba, and Mycotics) Dashboard is an interactive tool to access and visualize data from the System for Enteric Disease Response, Investigation, and Coordination (SEDRIC). The BEAM Dashboard provides timely data on pathogen trends and serotype details to inform work to prevent illnesses from food and animal contact.",,"{'name': 'BEAM Dashboard - Isolates by HHS Region', 'id': 'khic-yj26', 'description': 'The BEAM (Bacteria, Enterics, Amoeba, and Mycotics) Dashboard is an interactive tool to access and visualize data from the System for Enteric Disease Response, Investigation, and Coordination (SEDRIC). The BEAM Dashboard provides timely data on pathogen trends and serotype details to inform work to prevent illnesses from food and animal contact.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Foodborne-Waterborne-and-Related-Diseases/BEAM-Dashboard-Isolates-by-HHS-Region/khic-yj26'}"
BEAM Dashboard - Report Data,jbhn-e8xn,jbhn-e8xn_1736715606.130793_BEAM_Dashboard_-_Report_Data_20250112.csv.gz,2025-01-12 21:00:06 UTC,https://data.cdc.gov/Foodborne-Waterborne-and-Related-Diseases/BEAM-Dashboard-Report-Data/jbhn-e8xn,"The BEAM (Bacteria, Enterics, Amoeba, and Mycotics) Dashboard is an interactive tool to access and visualize data from the System for Enteric Disease Response, Investigation, and Coordination (SEDRIC). The BEAM Dashboard provides timely data on pathogen trends and serotype details to inform work to prevent illnesses from food and animal contact.",,"{'name': 'BEAM Dashboard - Report Data', 'id': 'jbhn-e8xn', 'description': 'The BEAM (Bacteria, Enterics, Amoeba, and Mycotics) Dashboard is an interactive tool to access and visualize data from the System for Enteric Disease Response, Investigation, and Coordination (SEDRIC). The BEAM Dashboard provides timely data on pathogen trends and serotype details to inform work to prevent illnesses from food and animal contact.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Foodborne-Waterborne-and-Related-Diseases/BEAM-Dashboard-Report-Data/jbhn-e8xn'}"
BEAM Dashboard - Serotypes of concern: Burden and Trajectory,8na9-qgz7,8na9-qgz7_1736733494.600387_BEAM_Dashboard_-_Serotypes_of_concern__Burden_and_Trajectory_20250113.csv.gz,2025-01-13 01:58:14 UTC,https://data.cdc.gov/Foodborne-Waterborne-and-Related-Diseases/BEAM-Dashboard-Serotypes-of-concern-Burden-and-Tra/8na9-qgz7,"The BEAM (Bacteria, Enterics, Amoeba, and Mycotics) Dashboard is an interactive tool to access and visualize data from the System for Enteric Disease Response, Investigation, and Coordination (SEDRIC). The BEAM Dashboard provides timely data on pathogen trends and serotype details to inform work to prevent illnesses from food and animal contact.",,"{'name': 'BEAM Dashboard - Serotypes of concern: Burden and Trajectory', 'id': '8na9-qgz7', 'description': 'The BEAM (Bacteria, Enterics, Amoeba, and Mycotics) Dashboard is an interactive tool to access and visualize data from the System for Enteric Disease Response, Investigation, and Coordination (SEDRIC). The BEAM Dashboard provides timely data on pathogen trends and serotype details to inform work to prevent illnesses from food and animal contact.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Foodborne-Waterborne-and-Related-Diseases/BEAM-Dashboard-Serotypes-of-concern-Burden-and-Tra/8na9-qgz7'}"
BEAM Dashboard - Serotypes of concern: Illnesses and Outbreaks,fvm6-ic5r,fvm6-ic5r_1736723552.940763_BEAM_Dashboard_-_Serotypes_of_concern__Illnesses_and_Outbreaks_20250112.csv.gz,2025-01-12 23:12:32 UTC,https://data.cdc.gov/Foodborne-Waterborne-and-Related-Diseases/BEAM-Dashboard-Serotypes-of-concern-Illnesses-and-/fvm6-ic5r,"The BEAM (Bacteria, Enterics, Amoeba, and Mycotics) Dashboard is an interactive tool to access and visualize data from the System for Enteric Disease Response, Investigation, and Coordination (SEDRIC). The BEAM Dashboard provides timely data on pathogen trends and serotype details to inform work to prevent illnesses from food and animal contact.",,"{'name': 'BEAM Dashboard - Serotypes of concern: Illnesses and Outbreaks', 'id': 'fvm6-ic5r', 'description': 'The BEAM (Bacteria, Enterics, Amoeba, and Mycotics) Dashboard is an interactive tool to access and visualize data from the System for Enteric Disease Response, Investigation, and Coordination (SEDRIC). The BEAM Dashboard provides timely data on pathogen trends and serotype details to inform work to prevent illnesses from food and animal contact.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Foodborne-Waterborne-and-Related-Diseases/BEAM-Dashboard-Serotypes-of-concern-Illnesses-and-/fvm6-ic5r'}"
BEAM Dashboard – Top 30 Most Common Serotypes,ch83-ush6,ch83-ush6_1736723668.646558_BEAM_Dashboard___Top_30_Most_Common_Serotypes_20250112.csv.gz,2025-01-12 23:14:28 UTC,https://data.cdc.gov/Foodborne-Waterborne-and-Related-Diseases/BEAM-Dashboard-Top-30-Most-Common-Serotypes/ch83-ush6,"The BEAM (Bacteria, Enterics, Amoeba, and Mycotics) Dashboard is an interactive tool to access and visualize data from the System for Enteric Disease Response, Investigation, and Coordination (SEDRIC). The BEAM Dashboard provides timely data on pathogen trends and serotype details to inform work to prevent illnesses from food and animal contact.",,"{'name': 'BEAM Dashboard – Top 30 Most Common Serotypes', 'id': 'ch83-ush6', 'description': 'The BEAM (Bacteria, Enterics, Amoeba, and Mycotics) Dashboard is an interactive tool to access and visualize data from the System for Enteric Disease Response, Investigation, and Coordination (SEDRIC). The BEAM Dashboard provides timely data on pathogen trends and serotype details to inform work to prevent illnesses from food and animal contact.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Foodborne-Waterborne-and-Related-Diseases/BEAM-Dashboard-Top-30-Most-Common-Serotypes/ch83-ush6'}"
BRFSS Prevalence And Trends Data: Health Care Access/Coverage for 1995-2010,t984-9cdv,t984-9cdv_1736710878.080302_BRFSS_Prevalence_And_Trends_Data__Health_Care_Access_Coverage_for_1995-2010_20250112.csv.gz,2025-01-12 19:41:18 UTC,https://data.cdc.gov/Health-Statistics/BRFSS-Prevalence-And-Trends-Data-Health-Care-Acces/t984-9cdv,"Percentages are weighted to population characteristics. Data are not available if it did not meet BRFSS stability requirements. For more information on these requirements, as well as risk factors and calculated variables, see the Technical Documents and Survey Data for a specific year - http://www.cdc.gov/brfss/annual_data/annual_data.htm. Recommended citation: Centers for Disease Control and Prevention (CDC). Behavioral Risk Factor Surveillance System. Atlanta, Georgia: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, [appropriate year].",,"{'name': 'BRFSS Prevalence And Trends Data: Health Care Access/Coverage for 1995-2010', 'id': 't984-9cdv', 'description': 'Percentages are weighted to population characteristics. Data are not available if it did not meet BRFSS stability requirements. For more information on these requirements, as well as risk factors and calculated variables, see the Technical Documents and Survey Data for a specific year - http://www.cdc.gov/brfss/annual_data/annual_data.htm. Recommended citation: Centers for Disease Control and Prevention (CDC). Behavioral Risk Factor Surveillance System. Atlanta, Georgia: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, [appropriate year].', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Health-Statistics/BRFSS-Prevalence-And-Trends-Data-Health-Care-Acces/t984-9cdv'}"
BRFSS Prevalence And Trends Data: Health Care Access/Coverage for 2011,5ekf-pmct,5ekf-pmct_1736721437.348477_BRFSS_Prevalence_And_Trends_Data__Health_Care_Access_Coverage_for_2011_20250112.csv.gz,2025-01-12 22:37:17 UTC,https://data.cdc.gov/Health-Statistics/BRFSS-Prevalence-And-Trends-Data-Health-Care-Acces/5ekf-pmct,"The 2011 BRFSS data reflects a change in weighting methodology (raking) and the addition of cell phone only respondents. Shifts in observed prevalence from 2010 to 2011 for BRFSS measures will likely reflect the new methods of measuring risk factors, rather than true trends in risk-factor prevalence. A break in trend lines after 2010 is used to reflect this change in methodolgy. Percentages are weighted to population characteristics. Data are not available if it did not meet BRFSS stability requirements. For more information on these requirements, as well as risk factors and calculated variables, see the Technical Documents and Survey Data for a specific year - http://www.cdc.gov/brfss/annual_data/annual_data.htm. Recommended citation: Centers for Disease Control and Prevention (CDC). Behavioral Risk Factor Surveillance System. Atlanta, Georgia: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, [appropriate year].",,"{'name': 'BRFSS Prevalence And Trends Data: Health Care Access/Coverage for 2011', 'id': '5ekf-pmct', 'description': 'The 2011 BRFSS data reflects a change in weighting methodology (raking) and the addition of cell phone only respondents. Shifts in observed prevalence from 2010 to 2011 for BRFSS measures will likely reflect the new methods of measuring risk factors, rather than true trends in risk-factor prevalence. A break in trend lines after 2010 is used to reflect this change in methodolgy. Percentages are weighted to population characteristics. Data are not available if it did not meet BRFSS stability requirements. For more information on these requirements, as well as risk factors and calculated variables, see the Technical Documents and Survey Data for a specific year - http://www.cdc.gov/brfss/annual_data/annual_data.htm. Recommended citation: Centers for Disease Control and Prevention (CDC). Behavioral Risk Factor Surveillance System. Atlanta, Georgia: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, [appropriate year].', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Health-Statistics/BRFSS-Prevalence-And-Trends-Data-Health-Care-Acces/5ekf-pmct'}"
BRFSS Prevalence And Trends Data: Tobacco Use - Adults Who Are Current Smokers for 1995-2010,j8jk-5ztv,j8jk-5ztv_1736712089.897484_BRFSS_Prevalence_And_Trends_Data__Tobacco_Use_-_Adults_Who_Are_Current_Smokers_for_1995-2010_20250112.csv.gz,2025-01-12 20:01:29 UTC,https://data.cdc.gov/Smoking-Tobacco-Use/BRFSS-Prevalence-And-Trends-Data-Tobacco-Use-Adult/j8jk-5ztv,"Percentages are weighted to population characteristics. Data are not available if it did not meet BRFSS stability requirements.For more information on these requirements, as well as risk factors and calculated variables, see the Technical Documents and Survey Data for a specific year - http://www.cdc.gov/brfss/annual_data/annual_data.htm.Recommended citation: Centers for Disease Control and Prevention (CDC). Behavioral Risk Factor Surveillance System. Atlanta, Georgia: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, [appropriate year].",,"{'name': 'BRFSS Prevalence And Trends Data: Tobacco Use - Adults Who Are Current Smokers for 1995-2010', 'id': 'j8jk-5ztv', 'description': 'Percentages are weighted to population characteristics. Data are not available if it did not meet BRFSS stability requirements.For more information on these requirements, as well as risk factors and calculated variables, see the Technical Documents and Survey Data for a specific year - http://www.cdc.gov/brfss/annual_data/annual_data.htm.Recommended citation: Centers for Disease Control and Prevention (CDC). Behavioral Risk Factor Surveillance System. Atlanta, Georgia: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, [appropriate year].', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Smoking-Tobacco-Use/BRFSS-Prevalence-And-Trends-Data-Tobacco-Use-Adult/j8jk-5ztv'}"
BRFSS Prevalence and Trends Data: Tobacco Use - Four Level Smoking Data for 1995-2010,8zak-ewtm,8zak-ewtm_1736708908.501024_BRFSS_Prevalence_and_Trends_Data__Tobacco_Use_-_Four_Level_Smoking_Data_for_1995-2010_20250112.csv.gz,2025-01-12 19:08:28 UTC,https://data.cdc.gov/Smoking-Tobacco-Use/BRFSS-Prevalence-and-Trends-Data-Tobacco-Use-Four-/8zak-ewtm,"Percentages are weighted to population characteristics. Data are not available if it did not meet BRFSS stability requirements.For more information on these requirements, as well as risk factors and calculated variables, see the Technical Documents and Survey Data for a specific year - http://www.cdc.gov/brfss/annual_data/annual_data.htm.Recommended citation: Centers for Disease Control and Prevention (CDC). Behavioral Risk Factor Surveillance System. Atlanta, Georgia: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, [appropriate year].",,"{'name': 'BRFSS Prevalence and Trends Data: Tobacco Use - Four Level Smoking Data for 1995-2010', 'id': '8zak-ewtm', 'description': 'Percentages are weighted to population characteristics. Data are not available if it did not meet BRFSS stability requirements.For more information on these requirements, as well as risk factors and calculated variables, see the Technical Documents and Survey Data for a specific year - http://www.cdc.gov/brfss/annual_data/annual_data.htm.Recommended citation: Centers for Disease Control and Prevention (CDC). Behavioral Risk Factor Surveillance System. Atlanta, Georgia: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, [appropriate year].', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Smoking-Tobacco-Use/BRFSS-Prevalence-and-Trends-Data-Tobacco-Use-Four-/8zak-ewtm'}"
BRFSS Prevalence and Trends Data: Tobacco Use - Four Level Smoking Data for 2011,ya9m-pyut,ya9m-pyut_1736712969.100551_BRFSS_Prevalence_and_Trends_Data__Tobacco_Use_-_Four_Level_Smoking_Data_for_2011_20250112.csv.gz,2025-01-12 20:16:09 UTC,https://data.cdc.gov/Smoking-Tobacco-Use/BRFSS-Prevalence-and-Trends-Data-Tobacco-Use-Four-/ya9m-pyut,"The 2011 BRFSS data reflects a change in weighting methodology (raking) and the addition of cell phone only respondents. Shifts in observed prevalence from 2010 to 2011 for BRFSS measures will likely reflect the new methods of measuring risk factors, rather than true trends in risk-factor prevalence. A break in trend lines after 2010 is used to reflect this change in methodolgy. Percentages are weighted to population characteristics. Data are not available if it did not meet BRFSS stability requirements.For more information on these requirements, as well as risk factors and calculated variables, see the Technical Documents and Survey Data for a specific year - http://www.cdc.gov/brfss/annual_data/annual_data.htm.Recommended citation: Centers for Disease Control and Prevention (CDC). Behavioral Risk Factor Surveillance System. Atlanta, Georgia: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, [appropriate year].",,"{'name': 'BRFSS Prevalence and Trends Data: Tobacco Use - Four Level Smoking Data for 2011', 'id': 'ya9m-pyut', 'description': 'The 2011 BRFSS data reflects a change in weighting methodology (raking) and the addition of cell phone only respondents. Shifts in observed prevalence from 2010 to 2011 for BRFSS measures will likely reflect the new methods of measuring risk factors, rather than true trends in risk-factor prevalence. A break in trend lines after 2010 is used to reflect this change in methodolgy. Percentages are weighted to population characteristics. Data are not available if it did not meet BRFSS stability requirements.For more information on these requirements, as well as risk factors and calculated variables, see the Technical Documents and Survey Data for a specific year - http://www.cdc.gov/brfss/annual_data/annual_data.htm.Recommended citation: Centers for Disease Control and Prevention (CDC). Behavioral Risk Factor Surveillance System. Atlanta, Georgia: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, [appropriate year].', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Smoking-Tobacco-Use/BRFSS-Prevalence-and-Trends-Data-Tobacco-Use-Four-/ya9m-pyut'}"
Behavioral Risk Factor Surveillance System (BRFSS) Age-Adjusted Prevalence Data (2011 to present),d2rk-yvas,d2rk-yvas_1736714212.818655_Behavioral_Risk_Factor_Surveillance_System__BRFSS__Age-Adjusted_Prevalence_Data__2011_to_present__20250112.csv.gz,2025-01-12 20:36:52 UTC,https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas,"2011 to present. BRFSS combined land line and cell phone age-adjusted prevalence data. The BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. 
Data will be updated annually as it becomes available.

Detailed information on sampling methodology and quality assurance can be found on the BRFSS website (http://www.cdc.gov/brfss). 
Methodology: http://www.cdc.gov/brfss/factsheets/pdf/DBS_BRFSS_survey.pdf 
Glossary: https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-H/iuq5-y9ct","<https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""original"",
<http://web.archive.org/web/timemap/link/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""self""; type=""application/link-format""; from=""Wed, 19 Jul 2023 04:06:32 GMT"",
<http://web.archive.org/web/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""timegate"",
<http://web.archive.org/web/20230719040632/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""first memento""; datetime=""Wed, 19 Jul 2023 04:06:32 GMT"",
<http://web.archive.org/web/20230722054043/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Sat, 22 Jul 2023 05:40:43 GMT"",
<http://web.archive.org/web/20230723062554/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Sun, 23 Jul 2023 06:25:54 GMT"",
<http://web.archive.org/web/20230724102113/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Mon, 24 Jul 2023 10:21:13 GMT"",
<http://web.archive.org/web/20230725091348/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Tue, 25 Jul 2023 09:13:48 GMT"",
<http://web.archive.org/web/20230726084227/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Wed, 26 Jul 2023 08:42:27 GMT"",
<http://web.archive.org/web/20230727114134/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Thu, 27 Jul 2023 11:41:34 GMT"",
<http://web.archive.org/web/20230728101905/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Fri, 28 Jul 2023 10:19:05 GMT"",
<http://web.archive.org/web/20230729085719/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Sat, 29 Jul 2023 08:57:19 GMT"",
<http://web.archive.org/web/20230730100409/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Sun, 30 Jul 2023 10:04:09 GMT"",
<http://web.archive.org/web/20230731132105/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Mon, 31 Jul 2023 13:21:05 GMT"",
<http://web.archive.org/web/20230802065948/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Wed, 02 Aug 2023 06:59:48 GMT"",
<http://web.archive.org/web/20230803101828/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Thu, 03 Aug 2023 10:18:28 GMT"",
<http://web.archive.org/web/20230804081800/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Fri, 04 Aug 2023 08:18:00 GMT"",
<http://web.archive.org/web/20230805084130/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Sat, 05 Aug 2023 08:41:30 GMT"",
<http://web.archive.org/web/20230806111546/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Sun, 06 Aug 2023 11:15:46 GMT"",
<http://web.archive.org/web/20230807091304/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Mon, 07 Aug 2023 09:13:04 GMT"",
<http://web.archive.org/web/20230808231348/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Tue, 08 Aug 2023 23:13:48 GMT"",
<http://web.archive.org/web/20230809235410/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Wed, 09 Aug 2023 23:54:10 GMT"",
<http://web.archive.org/web/20230810100235/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Thu, 10 Aug 2023 10:02:35 GMT"",
<http://web.archive.org/web/20230810220649/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Thu, 10 Aug 2023 22:06:49 GMT"",
<http://web.archive.org/web/20230811000030/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Fri, 11 Aug 2023 00:00:30 GMT"",
<http://web.archive.org/web/20230811231552/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Fri, 11 Aug 2023 23:15:52 GMT"",
<http://web.archive.org/web/20230816032951/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Wed, 16 Aug 2023 03:29:51 GMT"",
<http://web.archive.org/web/20230817063340/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Thu, 17 Aug 2023 06:33:40 GMT"",
<http://web.archive.org/web/20230818060720/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Fri, 18 Aug 2023 06:07:20 GMT"",
<http://web.archive.org/web/20230819080456/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Sat, 19 Aug 2023 08:04:56 GMT"",
<http://web.archive.org/web/20230820093918/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Sun, 20 Aug 2023 09:39:18 GMT"",
<http://web.archive.org/web/20230821034659/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Mon, 21 Aug 2023 03:46:59 GMT"",
<http://web.archive.org/web/20230822053745/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Tue, 22 Aug 2023 05:37:45 GMT"",
<http://web.archive.org/web/20230823051348/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Wed, 23 Aug 2023 05:13:48 GMT"",
<http://web.archive.org/web/20230824072005/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Thu, 24 Aug 2023 07:20:05 GMT"",
<http://web.archive.org/web/20230825075208/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Fri, 25 Aug 2023 07:52:08 GMT"",
<http://web.archive.org/web/20230826065350/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Sat, 26 Aug 2023 06:53:50 GMT"",
<http://web.archive.org/web/20230827063011/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Sun, 27 Aug 2023 06:30:11 GMT"",
<http://web.archive.org/web/20230828043720/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Mon, 28 Aug 2023 04:37:20 GMT"",
<http://web.archive.org/web/20230829063551/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Tue, 29 Aug 2023 06:35:51 GMT"",
<http://web.archive.org/web/20230831130053/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Thu, 31 Aug 2023 13:00:53 GMT"",
<http://web.archive.org/web/20230901074001/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Fri, 01 Sep 2023 07:40:01 GMT"",
<http://web.archive.org/web/20230902101552/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Sat, 02 Sep 2023 10:15:52 GMT"",
<http://web.archive.org/web/20230903074818/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Sun, 03 Sep 2023 07:48:18 GMT"",
<http://web.archive.org/web/20230904074858/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Mon, 04 Sep 2023 07:48:58 GMT"",
<http://web.archive.org/web/20230905072748/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Tue, 05 Sep 2023 07:27:48 GMT"",
<http://web.archive.org/web/20230906142132/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Wed, 06 Sep 2023 14:21:32 GMT"",
<http://web.archive.org/web/20230909110755/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Sat, 09 Sep 2023 11:07:55 GMT"",
<http://web.archive.org/web/20230910130315/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Sun, 10 Sep 2023 13:03:15 GMT"",
<http://web.archive.org/web/20230911155221/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Mon, 11 Sep 2023 15:52:21 GMT"",
<http://web.archive.org/web/20231026181101/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Thu, 26 Oct 2023 18:11:01 GMT"",
<http://web.archive.org/web/20231027234323/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Fri, 27 Oct 2023 23:43:23 GMT"",
<http://web.archive.org/web/20231028212730/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Sat, 28 Oct 2023 21:27:30 GMT"",
<http://web.archive.org/web/20231030002032/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Mon, 30 Oct 2023 00:20:32 GMT"",
<http://web.archive.org/web/20231031045318/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Tue, 31 Oct 2023 04:53:18 GMT"",
<http://web.archive.org/web/20231122205037/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Wed, 22 Nov 2023 20:50:37 GMT"",
<http://web.archive.org/web/20240131091217/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Wed, 31 Jan 2024 09:12:17 GMT"",
<http://web.archive.org/web/20240201171359/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Thu, 01 Feb 2024 17:13:59 GMT"",
<http://web.archive.org/web/20240202162507/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Fri, 02 Feb 2024 16:25:07 GMT"",
<http://web.archive.org/web/20240203164954/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Sat, 03 Feb 2024 16:49:54 GMT"",
<http://web.archive.org/web/20240204182530/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Sun, 04 Feb 2024 18:25:30 GMT"",
<http://web.archive.org/web/20240205181234/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Mon, 05 Feb 2024 18:12:34 GMT"",
<http://web.archive.org/web/20240206195555/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Tue, 06 Feb 2024 19:55:55 GMT"",
<http://web.archive.org/web/20240207224702/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Wed, 07 Feb 2024 22:47:02 GMT"",
<http://web.archive.org/web/20240208204131/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Thu, 08 Feb 2024 20:41:31 GMT"",
<http://web.archive.org/web/20240210005854/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Sat, 10 Feb 2024 00:58:54 GMT"",
<http://web.archive.org/web/20240322074630/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Fri, 22 Mar 2024 07:46:30 GMT"",
<http://web.archive.org/web/20240322151954/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Fri, 22 Mar 2024 15:19:54 GMT"",
<http://web.archive.org/web/20240323073334/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Sat, 23 Mar 2024 07:33:34 GMT"",
<http://web.archive.org/web/20240323213805/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Sat, 23 Mar 2024 21:38:05 GMT"",
<http://web.archive.org/web/20240324065205/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Sun, 24 Mar 2024 06:52:05 GMT"",
<http://web.archive.org/web/20240324210155/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Sun, 24 Mar 2024 21:01:55 GMT"",
<http://web.archive.org/web/20240325103125/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Mon, 25 Mar 2024 10:31:25 GMT"",
<http://web.archive.org/web/20240325232633/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Mon, 25 Mar 2024 23:26:33 GMT"",
<http://web.archive.org/web/20240326085356/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Tue, 26 Mar 2024 08:53:56 GMT"",
<http://web.archive.org/web/20240326213159/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Tue, 26 Mar 2024 21:31:59 GMT"",
<http://web.archive.org/web/20240329194053/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Fri, 29 Mar 2024 19:40:53 GMT"",
<http://web.archive.org/web/20240423195516/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Tue, 23 Apr 2024 19:55:16 GMT"",
<http://web.archive.org/web/20240425054346/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Thu, 25 Apr 2024 05:43:46 GMT"",
<http://web.archive.org/web/20240426050652/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Fri, 26 Apr 2024 05:06:52 GMT"",
<http://web.archive.org/web/20240427082139/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Sat, 27 Apr 2024 08:21:39 GMT"",
<http://web.archive.org/web/20240428045224/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Sun, 28 Apr 2024 04:52:24 GMT"",
<http://web.archive.org/web/20240429080134/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Mon, 29 Apr 2024 08:01:34 GMT"",
<http://web.archive.org/web/20240430113224/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Tue, 30 Apr 2024 11:32:24 GMT"",
<http://web.archive.org/web/20240501125913/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Wed, 01 May 2024 12:59:13 GMT"",
<http://web.archive.org/web/20240503101558/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Fri, 03 May 2024 10:15:58 GMT"",
<http://web.archive.org/web/20240505171949/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Sun, 05 May 2024 17:19:49 GMT"",
<http://web.archive.org/web/20240507145530/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Tue, 07 May 2024 14:55:30 GMT"",
<http://web.archive.org/web/20240508132528/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Wed, 08 May 2024 13:25:28 GMT"",
<http://web.archive.org/web/20240511222750/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Sat, 11 May 2024 22:27:50 GMT"",
<http://web.archive.org/web/20240515083103/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Wed, 15 May 2024 08:31:03 GMT"",
<http://web.archive.org/web/20240521012158/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Tue, 21 May 2024 01:21:58 GMT"",
<http://web.archive.org/web/20240531071935/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Fri, 31 May 2024 07:19:35 GMT"",
<http://web.archive.org/web/20240602064059/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Sun, 02 Jun 2024 06:40:59 GMT"",
<http://web.archive.org/web/20240604094250/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Tue, 04 Jun 2024 09:42:50 GMT"",
<http://web.archive.org/web/20241002060535/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Wed, 02 Oct 2024 06:05:35 GMT"",
<http://web.archive.org/web/20241113021117/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Wed, 13 Nov 2024 02:11:17 GMT"",
<http://web.archive.org/web/20241125043637/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Mon, 25 Nov 2024 04:36:37 GMT"",
<http://web.archive.org/web/20241125083243/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Mon, 25 Nov 2024 08:32:43 GMT"",
<http://web.archive.org/web/20241222201243/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Sun, 22 Dec 2024 20:12:43 GMT"",
<http://web.archive.org/web/20250117214355/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Fri, 17 Jan 2025 21:43:55 GMT"",
<http://web.archive.org/web/20250131015424/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Fri, 31 Jan 2025 01:54:24 GMT"",
<http://web.archive.org/web/20250131213034/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Fri, 31 Jan 2025 21:30:34 GMT"",
<http://web.archive.org/web/20250201014904/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Sat, 01 Feb 2025 01:49:04 GMT"",
<http://web.archive.org/web/20250201204944/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Sat, 01 Feb 2025 20:49:44 GMT"",
<http://web.archive.org/web/20250202123439/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Sun, 02 Feb 2025 12:34:39 GMT"",
<http://web.archive.org/web/20250205215800/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Wed, 05 Feb 2025 21:58:00 GMT"",
<http://web.archive.org/web/20250206102130/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas/>; rel=""memento""; datetime=""Thu, 06 Feb 2025 10:21:30 GMT"",
<http://web.archive.org/web/20250206102132/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Thu, 06 Feb 2025 10:21:32 GMT"",
<http://web.archive.org/web/20250206102154/https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas>; rel=""memento""; datetime=""Thu, 06 Feb 2025 10:21:54 GMT""
","{'name': 'Behavioral Risk Factor Surveillance System (BRFSS) Age-Adjusted Prevalence Data (2011 to present)', 'id': 'd2rk-yvas', 'description': '2011 to present. BRFSS combined land line and cell phone age-adjusted prevalence data. The BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. \nData will be updated annually as it becomes available.\n\nDetailed information on sampling methodology and quality assurance can be found on the BRFSS website (http://www.cdc.gov/brfss). \nMethodology: http://www.cdc.gov/brfss/factsheets/pdf/DBS_BRFSS_survey.pdf \nGlossary: https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-H/iuq5-y9ct', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas'}"
Behavioral Risk Factors: Selected Metropolitan Area Risk Trends (SMART) County Prevalence Data (2010 and prior),acme-vg9e,acme-vg9e_1736714881.582392_Behavioral_Risk_Factors__Selected_Metropolitan_Area_Risk_Trends__SMART__County_Prevalence_Data__2010_and_prior__20250112.csv.gz,2025-01-12 20:48:01 UTC,https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factors-Selected-Metropolitan-Area/acme-vg9e,"2002-2010. BRFSS SMART County Prevalence land line only data. The Selected Metropolitan Area Risk Trends (SMART) project uses the Behavioral Risk Factor Surveillance System (BRFSS) to analyze the data of selected counties with 500 or more respondents. BRFSS data can be used to identify emerging health problems, establish and track health objectives, and develop and evaluate public health policies and programs. BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. Data will be updated annually as it becomes available. Detailed information on sampling methodology and quality assurance can be found on the BRFSS website (http://www.cdc.gov/brfss). Methodology: http://www.cdc.gov/brfss/factsheets/pdf/DBS_BRFSS_survey.pdf Glossary: https://chronicdata.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-H/iuq5-y9ct/data",,"{'name': 'Behavioral Risk Factors: Selected Metropolitan Area Risk Trends (SMART) County Prevalence Data (2010 and prior)', 'id': 'acme-vg9e', 'description': '2002-2010. BRFSS SMART County Prevalence land line only data. The Selected Metropolitan Area Risk Trends (SMART) project uses the Behavioral Risk Factor Surveillance System (BRFSS) to analyze the data of selected counties with 500 or more respondents. BRFSS data can be used to identify emerging health problems, establish and track health objectives, and develop and evaluate public health policies and programs. BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. Data will be updated annually as it becomes available. Detailed information on sampling methodology and quality assurance can be found on the BRFSS website (http://www.cdc.gov/brfss). Methodology: http://www.cdc.gov/brfss/factsheets/pdf/DBS_BRFSS_survey.pdf Glossary: https://chronicdata.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-H/iuq5-y9ct/data', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factors-Selected-Metropolitan-Area/acme-vg9e'}"
Behavioral Risk Factors: Selected Metropolitan Area Risk Trends (SMART) County Prevalence Data (2011 to 2012),cpem-dkkm,cpem-dkkm_1736711080.231333_Behavioral_Risk_Factors__Selected_Metropolitan_Area_Risk_Trends__SMART__County_Prevalence_Data__2011_to_2012__20250112.csv.gz,2025-01-12 19:44:40 UTC,https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factors-Selected-Metropolitan-Area/cpem-dkkm,"2011 to 2012. BRFSS SMART County Prevalence combined land line and cell phone data.  The Selected Metropolitan Area Risk Trends (SMART) project uses the Behavioral Risk Factor Surveillance System (BRFSS) to analyze the data of selected counties with 500 or more respondents. BRFSS data can be used to identify emerging health problems, establish and track health objectives, and develop and evaluate public health policies and programs. BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. Data will be updated annually as it becomes available. Detailed information on sampling methodology and quality assurance can be found on the BRFSS website (http://www.cdc.gov/brfss). Methodology: http://www.cdc.gov/brfss/factsheets/pdf/DBS_BRFSS_survey.pdf Glossary: https://chronicdata.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-H/iuq5-y9ct",,"{'name': 'Behavioral Risk Factors: Selected Metropolitan Area Risk Trends (SMART) County Prevalence Data (2011 to 2012)', 'id': 'cpem-dkkm', 'description': '2011 to 2012. BRFSS SMART County Prevalence combined land line and cell phone data.  The Selected Metropolitan Area Risk Trends (SMART) project uses the Behavioral Risk Factor Surveillance System (BRFSS) to analyze the data of selected counties with 500 or more respondents. BRFSS data can be used to identify emerging health problems, establish and track health objectives, and develop and evaluate public health policies and programs. BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. Data will be updated annually as it becomes available. Detailed information on sampling methodology and quality assurance can be found on the BRFSS website (http://www.cdc.gov/brfss). Methodology: http://www.cdc.gov/brfss/factsheets/pdf/DBS_BRFSS_survey.pdf Glossary: https://chronicdata.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-H/iuq5-y9ct', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factors-Selected-Metropolitan-Area/cpem-dkkm'}"
Behavioral Risk Factors: Selected Metropolitan Area Risk Trends (SMART) MMSA Age-adjusted Prevalence Data (2011 to Present),at7e-uhkc,at7e-uhkc_1736721333.564412_Behavioral_Risk_Factors__Selected_Metropolitan_Area_Risk_Trends__SMART__MMSA_Age-adjusted_Prevalence_Data__2011_to_Present__20250112.csv.gz,2025-01-12 22:35:33 UTC,https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factors-Selected-Metropolitan-Area/at7e-uhkc,"2011 to present. BRFSS SMART MMSA age-adjusted prevalence combined land line and cell phone data. The Selected Metropolitan Area Risk Trends (SMART) project uses the Behavioral Risk Factor Surveillance System (BRFSS) to analyze the data of selected metropolitan statistical areas (MMSAs) with 500 or more respondents. BRFSS data can be used to identify emerging health problems, establish and track health objectives, and develop and evaluate public health policies and programs. BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. Data will be updated annually as it becomes available. Detailed information on sampling methodology and quality assurance can be found on the BRFSS website (http://www.cdc.gov/brfss). Methodology: http://www.cdc.gov/brfss/factsheets/pdf/DBS_BRFSS_survey.pdf Glossary:  https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-H/iuq5-y9ct",,"{'name': 'Behavioral Risk Factors: Selected Metropolitan Area Risk Trends (SMART) MMSA Age-adjusted Prevalence Data (2011 to Present)', 'id': 'at7e-uhkc', 'description': '2011 to present. BRFSS SMART MMSA age-adjusted prevalence combined land line and cell phone data. The Selected Metropolitan Area Risk Trends (SMART) project uses the Behavioral Risk Factor Surveillance System (BRFSS) to analyze the data of selected metropolitan statistical areas (MMSAs) with 500 or more respondents. BRFSS data can be used to identify emerging health problems, establish and track health objectives, and develop and evaluate public health policies and programs. BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. Data will be updated annually as it becomes available. Detailed information on sampling methodology and quality assurance can be found on the BRFSS website (http://www.cdc.gov/brfss). Methodology: http://www.cdc.gov/brfss/factsheets/pdf/DBS_BRFSS_survey.pdf Glossary:  https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-H/iuq5-y9ct', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factors-Selected-Metropolitan-Area/at7e-uhkc'}"
Behavioral Risk Factors: Selected Metropolitan Area Risk Trends (SMART) MMSA Prevalence Data (2010 and Prior),waxm-p5qv,waxm-p5qv_1736712026.275625_Behavioral_Risk_Factors__Selected_Metropolitan_Area_Risk_Trends__SMART__MMSA_Prevalence_Data__2010_and_Prior__20250112.csv.gz,2025-01-12 20:00:26 UTC,https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factors-Selected-Metropolitan-Area/waxm-p5qv,"2002-2010. BRFSS SMART MMSA Prevalence land line only data. The Selected Metropolitan Area Risk Trends (SMART) project uses the Behavioral Risk Factor Surveillance System (BRFSS) to analyze the data of selected metropolitan statistical areas (MMSAs) with 500 or more respondents. BRFSS data can be used to identify emerging health problems, establish and track health objectives, and develop and evaluate public health policies and programs. BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. Data will be updated annually as it becomes available. Detailed information on sampling methodology and quality assurance can be found on the BRFSS website (http://www.cdc.gov/brfss). Methodology: http://www.cdc.gov/brfss/factsheets/pdf/DBS_BRFSS_survey.pdf Glossary: https://chronicdata.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-H/iuq5-y9ct/data",,"{'name': 'Behavioral Risk Factors: Selected Metropolitan Area Risk Trends (SMART) MMSA Prevalence Data (2010 and Prior)', 'id': 'waxm-p5qv', 'description': '2002-2010. BRFSS SMART MMSA Prevalence land line only data. The Selected Metropolitan Area Risk Trends (SMART) project uses the Behavioral Risk Factor Surveillance System (BRFSS) to analyze the data of selected metropolitan statistical areas (MMSAs) with 500 or more respondents. BRFSS data can be used to identify emerging health problems, establish and track health objectives, and develop and evaluate public health policies and programs. BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. Data will be updated annually as it becomes available. Detailed information on sampling methodology and quality assurance can be found on the BRFSS website (http://www.cdc.gov/brfss). Methodology: http://www.cdc.gov/brfss/factsheets/pdf/DBS_BRFSS_survey.pdf Glossary: https://chronicdata.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-H/iuq5-y9ct/data', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factors-Selected-Metropolitan-Area/waxm-p5qv'}"
Behavioral Risk Factors: Selected Metropolitan Area Risk Trends (SMART) MMSA Prevalence Data (2011 to Present),j32a-sa6u,j32a-sa6u_1736710028.623653_Behavioral_Risk_Factors__Selected_Metropolitan_Area_Risk_Trends__SMART__MMSA_Prevalence_Data__2011_to_Present__20250112.csv.gz,2025-01-12 19:27:08 UTC,https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factors-Selected-Metropolitan-Area/j32a-sa6u,"2011 to present. BRFSS SMART MMSA Prevalence combined land line and cell phone data. The Selected Metropolitan Area Risk Trends (SMART) project uses the Behavioral Risk Factor Surveillance System (BRFSS) to analyze the data of selected metropolitan statistical areas (MMSAs) with 500 or more respondents. BRFSS data can be used to identify emerging health problems, establish and track health objectives, and develop and evaluate public health policies and programs. BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. Data will be updated annually as it becomes available. Detailed information on sampling methodology and quality assurance can be found on the BRFSS website (http://www.cdc.gov/brfss). Methodology: http://www.cdc.gov/brfss/factsheets/pdf/DBS_BRFSS_survey.pdf Glossary: https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-H/iuq5-y9ct",,"{'name': 'Behavioral Risk Factors: Selected Metropolitan Area Risk Trends (SMART) MMSA Prevalence Data (2011 to Present)', 'id': 'j32a-sa6u', 'description': '2011 to present. BRFSS SMART MMSA Prevalence combined land line and cell phone data. The Selected Metropolitan Area Risk Trends (SMART) project uses the Behavioral Risk Factor Surveillance System (BRFSS) to analyze the data of selected metropolitan statistical areas (MMSAs) with 500 or more respondents. BRFSS data can be used to identify emerging health problems, establish and track health objectives, and develop and evaluate public health policies and programs. BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. Data will be updated annually as it becomes available. Detailed information on sampling methodology and quality assurance can be found on the BRFSS website (http://www.cdc.gov/brfss). Methodology: http://www.cdc.gov/brfss/factsheets/pdf/DBS_BRFSS_survey.pdf Glossary: https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-H/iuq5-y9ct', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factors-Selected-Metropolitan-Area/j32a-sa6u'}"
Biennial Overview of Post-acute and Long-term Care in the United States: Data from the 2020 National Post-acute and Long-term Care Study,wibz-pb5q,wibz-pb5q_1736720004.841064_Biennial_Overview_of_Post-acute_and_Long-term_Care_in_the_United_States__Data_from_the_2020_National_Post-acute_and_Long-term_Care_Study_20250112.csv.gz,2025-01-12 22:13:24 UTC,https://data.cdc.gov/NCHS/Biennial-Overview-of-Post-acute-and-Long-term-Care/wibz-pb5q,"The NCHS National Post-acute and Long-term Care Study (NPALS) collects data on post-acute and long-term care providers every two years. The goal is to monitor post-acute and long-term care settings with reliable, accurate, relevant, and timely statistical information to support and inform policy, research, and practice. These data tables provide an overview of the geographic, organizational, staffing, service provision, and user characteristics of paid, regulated long-term and post-acute care providers in the United States. The settings include adult day services centers, home health agencies, hospices, inpatient rehabilitation facilities, long-term care hospitals, and nursing homes.",,"{'name': 'Biennial Overview of Post-acute and Long-term Care in the United States: Data from the 2020 National Post-acute and Long-term Care Study', 'id': 'wibz-pb5q', 'description': 'The NCHS National Post-acute and Long-term Care Study (NPALS) collects data on post-acute and long-term care providers every two years. The goal is to monitor post-acute and long-term care settings with reliable, accurate, relevant, and timely statistical information to support and inform policy, research, and practice. These data tables provide an overview of the geographic, organizational, staffing, service provision, and user characteristics of paid, regulated long-term and post-acute care providers in the United States. The settings include adult day services centers, home health agencies, hospices, inpatient rehabilitation facilities, long-term care hospitals, and nursing homes.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Biennial-Overview-of-Post-acute-and-Long-term-Care/wibz-pb5q'}"
Botulism,66i6-hisz,66i6-hisz_1736714134.703752_Botulism_20250112.csv.gz,2025-01-12 20:35:34 UTC,https://data.cdc.gov/Foodborne-Waterborne-and-Related-Diseases/Botulism/66i6-hisz,"The CDC Botulism Consultation Service, the Alaska Division of Public Health, and the California Department of Public Health provide clinical consultations on suspected cases of all types of botulism except infant botulism. These agencies are the only sources of antitoxin for non-infant botulism in the United States. The California Infant Botulism Treatment and Prevention provides clinical consultations on suspected infant botulism cases; it is the only source of antitoxin for infant botulism in the United States. Together, these clinical consultations provide expert guidance to clinicians and support the collection of epidemiologic and medical information for all suspected botulism cases reported in the United States.",,"{'name': 'Botulism', 'id': '66i6-hisz', 'description': 'The CDC Botulism Consultation Service, the Alaska Division of Public Health, and the California Department of Public Health provide clinical consultations on suspected cases of all types of botulism except infant botulism. These agencies are the only sources of antitoxin for non-infant botulism in the United States. The California Infant Botulism Treatment and Prevention provides clinical consultations on suspected infant botulism cases; it is the only source of antitoxin for infant botulism in the United States. Together, these clinical consultations provide expert guidance to clinicians and support the collection of epidemiologic and medical information for all suspected botulism cases reported in the United States.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Foodborne-Waterborne-and-Related-Diseases/Botulism/66i6-hisz'}"
CDC Best Practices for Comprehensive Tobacco Control Programs - 2007,n4v6-56e8,n4v6-56e8_1736716278.346752_CDC_Best_Practices_for_Comprehensive_Tobacco_Control_Programs_-_2007_20250112.csv.gz,2025-01-12 21:11:18 UTC,https://data.cdc.gov/Funding/CDC-Best-Practices-for-Comprehensive-Tobacco-Contr/n4v6-56e8,"2007. Centers for Disease Control and Prevention (CDC). Best Practices for Comprehensive Tobacco Control Programs. Funding. CDC's Best Practices for Comprehensive Tobacco Control Programs is an evidence-based guide to help states plan and establish effective tobacco control programs to prevent and reduce tobacco use.  Data are reported at total and per capita funding levels. Data include recommended, upper, and lower total funding levels for state programs, in addition to funding breakdowns by intervention areas such as: State and Community Interventions, Health Communication Interventions, Cessation Interventions, Surveillance and Evaluation, and Administration and Management.",,"{'name': 'CDC Best Practices for Comprehensive Tobacco Control Programs - 2007', 'id': 'n4v6-56e8', 'description': ""2007. Centers for Disease Control and Prevention (CDC). Best Practices for Comprehensive Tobacco Control Programs. Funding. CDC's Best Practices for Comprehensive Tobacco Control Programs is an evidence-based guide to help states plan and establish effective tobacco control programs to prevent and reduce tobacco use.  Data are reported at total and per capita funding levels. Data include recommended, upper, and lower total funding levels for state programs, in addition to funding breakdowns by intervention areas such as: State and Community Interventions, Health Communication Interventions, Cessation Interventions, Surveillance and Evaluation, and Administration and Management."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Funding/CDC-Best-Practices-for-Comprehensive-Tobacco-Contr/n4v6-56e8'}"
CDC Best Practices for Comprehensive Tobacco Control Programs - 2014,vm4m-idi8,vm4m-idi8_1736718638.810977_CDC_Best_Practices_for_Comprehensive_Tobacco_Control_Programs_-_2014_20250112.csv.gz,2025-01-12 21:50:38 UTC,https://data.cdc.gov/Funding/CDC-Best-Practices-for-Comprehensive-Tobacco-Contr/vm4m-idi8,"2014. Centers for Disease Control and Prevention (CDC). Best Practices for Comprehensive Tobacco Control Programs. Funding. CDC's Best Practices for Comprehensive Tobacco Control Programs is an evidence-based guide to help states plan and establish effective tobacco control programs to prevent and reduce tobacco use.  These data update Best Practices for Comprehensive Tobacco Control Programs—2007.  Data are reported at total and per capita funding levels. Data include recommended and minimum total funding levels for state programs, in addition to funding breakdowns by intervention areas such as: State and Community Interventions, Mass-Reach Health Communication Interventions, Cessation Interventions, Surveillance and Evaluation, and Infrastructure, Administration, and Management.",,"{'name': 'CDC Best Practices for Comprehensive Tobacco Control Programs - 2014', 'id': 'vm4m-idi8', 'description': ""2014. Centers for Disease Control and Prevention (CDC). Best Practices for Comprehensive Tobacco Control Programs. Funding. CDC's Best Practices for Comprehensive Tobacco Control Programs is an evidence-based guide to help states plan and establish effective tobacco control programs to prevent and reduce tobacco use.  These data update Best Practices for Comprehensive Tobacco Control Programs—2007.  Data are reported at total and per capita funding levels. Data include recommended and minimum total funding levels for state programs, in addition to funding breakdowns by intervention areas such as: State and Community Interventions, Mass-Reach Health Communication Interventions, Cessation Interventions, Surveillance and Evaluation, and Infrastructure, Administration, and Management."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Funding/CDC-Best-Practices-for-Comprehensive-Tobacco-Contr/vm4m-idi8'}"
CDC COVID-19 Cases and Deaths Ensemble Forecast Archive,ci7c-73kg,ci7c-73kg_1736720141.677060_CDC_COVID-19_Cases_and_Deaths_Ensemble_Forecast_Archive_20250112.csv.gz,2025-01-12 22:15:41 UTC,https://data.cdc.gov/Models/CDC-COVID-19-Cases-and-Deaths-Ensemble-Forecast-Ar/ci7c-73kg,"This dataset contains forecasted weekly numbers of reported COVID-19 incident cases, incident deaths, and cumulative deaths in the United States, previously reported on COVID Data Tracker (https://covid.cdc.gov/covid-data-tracker/#datatracker-home). These forecasts were generated using mathematical models by CDC partners in the COVID-19 Forecast Hub (https://covid19forecasthub.org/doc/ensemble/). A CDC ensemble model was produced every week using the submitted models from that week at the national, and state/territory level. 


This dataset is intended to mirror the observed and forecasted data, previously available for download on the CDC’s COVID Data Tracker.  Mortality forecasts for both new and cumulative reported COVID-19 deaths were produced at the state and territory level and national level. Forecasts of new reported COVID-19 cases were produced at the county, state/territory, and national level. Please note that this dataset is not complete for every model, date, location or combination thereof. Specifically, county level submissions for COVID-19 incident cases were accepted, but not required, and are missing or incomplete for many models and dates.  State and territory-level forecasts are more complete, but not all models submitted forecasts for all locations, dates, and targets (new reported deaths, new reported cases, and cumulative reported deaths).  Forecasts for COVID-19 incident cases were discontinued in February 2022. Forecasts for COVID-19 cumulative and incident deaths were discontinued in March 2023.",,"{'name': 'CDC COVID-19 Cases and Deaths Ensemble Forecast Archive', 'id': 'ci7c-73kg', 'description': 'This dataset contains forecasted weekly numbers of reported COVID-19 incident cases, incident deaths, and cumulative deaths in the United States, previously reported on COVID Data Tracker (https://covid.cdc.gov/covid-data-tracker/#datatracker-home). These forecasts were generated using mathematical models by CDC partners in the COVID-19 Forecast Hub (https://covid19forecasthub.org/doc/ensemble/). A CDC ensemble model was produced every week using the submitted models from that week at the national, and state/territory level. \n\n\nThis dataset is intended to mirror the observed and forecasted data, previously available for download on the CDC’s COVID Data Tracker.  Mortality forecasts for both new and cumulative reported COVID-19 deaths were produced at the state and territory level and national level. Forecasts of new reported COVID-19 cases were produced at the county, state/territory, and national level. Please note that this dataset is not complete for every model, date, location or combination thereof. Specifically, county level submissions for COVID-19 incident cases were accepted, but not required, and are missing or incomplete for many models and dates.  State and territory-level forecasts are more complete, but not all models submitted forecasts for all locations, dates, and targets (new reported deaths, new reported cases, and cumulative reported deaths).  Forecasts for COVID-19 incident cases were discontinued in February 2022. Forecasts for COVID-19 cumulative and incident deaths were discontinued in March 2023.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Models/CDC-COVID-19-Cases-and-Deaths-Ensemble-Forecast-Ar/ci7c-73kg'}"
CDC Library Subscription Databases,sks5-7yq7,sks5-7yq7_1736723515.567214_CDC_Library_Subscription_Databases_20250112.csv.gz,2025-01-12 23:11:55 UTC,https://data.cdc.gov/dataset/CDC-Library-Subscription-Databases/sks5-7yq7,A complete listing of subscription databases provided by the Stephen B. Thacker CDC Library.,,"{'name': 'CDC Library Subscription Databases', 'id': 'sks5-7yq7', 'description': 'A complete listing of subscription databases provided by the Stephen B. Thacker CDC Library.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/dataset/CDC-Library-Subscription-Databases/sks5-7yq7'}"
CDC PRAMStat Data for 2000,3hwj-hqmh,3hwj-hqmh_1736717597.863612_CDC_PRAMStat_Data_for_2000_20250112.csv.gz,2025-01-12 21:33:17 UTC,https://data.cdc.gov/Maternal-Child-Health/CDC-PRAMStat-Data-for-2000/3hwj-hqmh,"2000. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.",,"{'name': 'CDC PRAMStat Data for 2000', 'id': '3hwj-hqmh', 'description': '2000. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Maternal-Child-Health/CDC-PRAMStat-Data-for-2000/3hwj-hqmh'}"
CDC PRAMStat Data for 2001,u93h-quup,u93h-quup_1736719603.760763_CDC_PRAMStat_Data_for_2001_20250112.csv.gz,2025-01-12 22:06:43 UTC,https://data.cdc.gov/Maternal-Child-Health/CDC-PRAMStat-Data-for-2001/u93h-quup,"2001. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.",,"{'name': 'CDC PRAMStat Data for 2001', 'id': 'u93h-quup', 'description': '2001. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Maternal-Child-Health/CDC-PRAMStat-Data-for-2001/u93h-quup'}"
CDC PRAMStat Data for 2002,dnxe-zgxs,dnxe-zgxs_1736719079.511033_CDC_PRAMStat_Data_for_2002_20250112.csv.gz,2025-01-12 21:57:59 UTC,https://data.cdc.gov/Maternal-Child-Health/CDC-PRAMStat-Data-for-2002/dnxe-zgxs,"2002.  Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.",,"{'name': 'CDC PRAMStat Data for 2002', 'id': 'dnxe-zgxs', 'description': '2002.  Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Maternal-Child-Health/CDC-PRAMStat-Data-for-2002/dnxe-zgxs'}"
CDC PRAMStat Data for 2003,u76f-m89e,u76f-m89e_1736716650.802683_CDC_PRAMStat_Data_for_2003_20250112.csv.gz,2025-01-12 21:17:30 UTC,https://data.cdc.gov/Maternal-Child-Health/CDC-PRAMStat-Data-for-2003/u76f-m89e,"2003. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.",,"{'name': 'CDC PRAMStat Data for 2003', 'id': 'u76f-m89e', 'description': '2003. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Maternal-Child-Health/CDC-PRAMStat-Data-for-2003/u76f-m89e'}"
CDC PRAMStat Data for 2004,xyxp-dxa9,xyxp-dxa9_1736717678.107454_CDC_PRAMStat_Data_for_2004_20250112.csv.gz,2025-01-12 21:34:38 UTC,https://data.cdc.gov/Maternal-Child-Health/CDC-PRAMStat-Data-for-2004/xyxp-dxa9,"2004. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.",,"{'name': 'CDC PRAMStat Data for 2004', 'id': 'xyxp-dxa9', 'description': '2004. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Maternal-Child-Health/CDC-PRAMStat-Data-for-2004/xyxp-dxa9'}"
CDC PRAMStat Data for 2005,pj7z-f3xf,pj7z-f3xf_1736716573.879552_CDC_PRAMStat_Data_for_2005_20250112.csv.gz,2025-01-12 21:16:13 UTC,https://data.cdc.gov/Maternal-Child-Health/CDC-PRAMStat-Data-for-2005/pj7z-f3xf,"2005. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.",,"{'name': 'CDC PRAMStat Data for 2005', 'id': 'pj7z-f3xf', 'description': '2005. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Maternal-Child-Health/CDC-PRAMStat-Data-for-2005/pj7z-f3xf'}"
CDC PRAMStat Data for 2006,akmt-4qtj,akmt-4qtj_1736715481.376724_CDC_PRAMStat_Data_for_2006_20250112.csv.gz,2025-01-12 20:58:01 UTC,https://data.cdc.gov/Maternal-Child-Health/CDC-PRAMStat-Data-for-2006/akmt-4qtj,"2006. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.",,"{'name': 'CDC PRAMStat Data for 2006', 'id': 'akmt-4qtj', 'description': '2006. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Maternal-Child-Health/CDC-PRAMStat-Data-for-2006/akmt-4qtj'}"
CDC PRAMStat Data for 2007,vr6p-ert2,vr6p-ert2_1736716140.495572_CDC_PRAMStat_Data_for_2007_20250112.csv.gz,2025-01-12 21:09:00 UTC,https://data.cdc.gov/Maternal-Child-Health/CDC-PRAMStat-Data-for-2007/vr6p-ert2,"2007. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.",,"{'name': 'CDC PRAMStat Data for 2007', 'id': 'vr6p-ert2', 'description': '2007. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Maternal-Child-Health/CDC-PRAMStat-Data-for-2007/vr6p-ert2'}"
CDC PRAMStat Data for 2008,4ya2-fkvt,4ya2-fkvt_1736718097.006166_CDC_PRAMStat_Data_for_2008_20250112.csv.gz,2025-01-12 21:41:37 UTC,https://data.cdc.gov/Maternal-Child-Health/CDC-PRAMStat-Data-for-2008/4ya2-fkvt,"2008. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.",,"{'name': 'CDC PRAMStat Data for 2008', 'id': '4ya2-fkvt', 'description': '2008. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Maternal-Child-Health/CDC-PRAMStat-Data-for-2008/4ya2-fkvt'}"
CDC PRAMStat Data for 2009,qwpv-wpc8,qwpv-wpc8_1736715505.008384_CDC_PRAMStat_Data_for_2009_20250112.csv.gz,2025-01-12 20:58:25 UTC,https://data.cdc.gov/Maternal-Child-Health/CDC-PRAMStat-Data-for-2009/qwpv-wpc8,"2009. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.","<https://data.cdc.gov/Maternal-Child-Health/CDC-PRAMStat-Data-for-2009/qwpv-wpc8>; rel=""original"",
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<http://web.archive.org/web/20240927083453/https://data.cdc.gov/Maternal-Child-Health/CDC-PRAMStat-Data-for-2009/qwpv-wpc8>; rel=""memento""; datetime=""Fri, 27 Sep 2024 08:34:53 GMT"",
<http://web.archive.org/web/20241127021234/https://data.cdc.gov/Maternal-Child-Health/CDC-PRAMStat-Data-for-2009/qwpv-wpc8>; rel=""memento""; datetime=""Wed, 27 Nov 2024 02:12:34 GMT"",
<http://web.archive.org/web/20241128082855/https://data.cdc.gov/Maternal-Child-Health/CDC-PRAMStat-Data-for-2009/qwpv-wpc8>; rel=""memento""; datetime=""Thu, 28 Nov 2024 08:28:55 GMT"",
<http://web.archive.org/web/20241210100902/https://data.cdc.gov/Maternal-Child-Health/CDC-PRAMStat-Data-for-2009/qwpv-wpc8>; rel=""memento""; datetime=""Tue, 10 Dec 2024 10:09:02 GMT"",
<http://web.archive.org/web/20250118074029/https://data.cdc.gov/Maternal-Child-Health/CDC-PRAMStat-Data-for-2009/qwpv-wpc8>; rel=""memento""; datetime=""Sat, 18 Jan 2025 07:40:29 GMT"",
<http://web.archive.org/web/20250130191428/https://data.cdc.gov/Maternal-Child-Health/CDC-PRAMStat-Data-for-2009/qwpv-wpc8>; rel=""memento""; datetime=""Thu, 30 Jan 2025 19:14:28 GMT"",
<http://web.archive.org/web/20250201215516/https://data.cdc.gov/Maternal-Child-Health/CDC-PRAMStat-Data-for-2009/qwpv-wpc8>; rel=""memento""; datetime=""Sat, 01 Feb 2025 21:55:16 GMT"",
<http://web.archive.org/web/20250204181745/https://data.cdc.gov/Maternal-Child-Health/CDC-PRAMStat-Data-for-2009/qwpv-wpc8>; rel=""memento""; datetime=""Tue, 04 Feb 2025 18:17:45 GMT"",
<http://web.archive.org/web/20250208235905/https://data.cdc.gov/Maternal-Child-Health/CDC-PRAMStat-Data-for-2009/qwpv-wpc8>; rel=""memento""; datetime=""Sat, 08 Feb 2025 23:59:05 GMT"",
<http://web.archive.org/web/20250211180851/https://data.cdc.gov/Maternal-Child-Health/CDC-PRAMStat-Data-for-2009/qwpv-wpc8/>; rel=""memento""; datetime=""Tue, 11 Feb 2025 18:08:51 GMT"",
<http://web.archive.org/web/20250211180859/https://data.cdc.gov/Maternal-Child-Health/CDC-PRAMStat-Data-for-2009/qwpv-wpc8>; rel=""memento""; datetime=""Tue, 11 Feb 2025 18:08:59 GMT"",
<http://web.archive.org/web/20250211180942/https://data.cdc.gov/Maternal-Child-Health/CDC-PRAMStat-Data-for-2009/qwpv-wpc8>; rel=""memento""; datetime=""Tue, 11 Feb 2025 18:09:42 GMT""
","{'name': 'CDC PRAMStat Data for 2009', 'id': 'qwpv-wpc8', 'description': '2009. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Maternal-Child-Health/CDC-PRAMStat-Data-for-2009/qwpv-wpc8'}"
CDC PRAMStat Data for 2010,xvu4-xjdb,xvu4-xjdb_1736715253.808491_CDC_PRAMStat_Data_for_2010_20250112.csv.gz,2025-01-12 20:54:13 UTC,https://data.cdc.gov/Maternal-Child-Health/CDC-PRAMStat-Data-for-2010/xvu4-xjdb,"2010. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.",,"{'name': 'CDC PRAMStat Data for 2010', 'id': 'xvu4-xjdb', 'description': '2010. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Maternal-Child-Health/CDC-PRAMStat-Data-for-2010/xvu4-xjdb'}"
CDC PRAMStat Data for 2011,ese6-rqpq,ese6-rqpq_1736709030.649082_CDC_PRAMStat_Data_for_2011_20250112.csv.gz,2025-01-12 19:10:30 UTC,https://data.cdc.gov/Maternal-Child-Health/CDC-PRAMStat-Data-for-2011/ese6-rqpq,"2011.  Centers for Disease Control and Prevention (CDC).  PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments.  PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy.
Data will be updated annually as it becomes available.",,"{'name': 'CDC PRAMStat Data for 2011', 'id': 'ese6-rqpq', 'description': '2011.  Centers for Disease Control and Prevention (CDC).  PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments.  PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy.\r\nData will be updated annually as it becomes available.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Maternal-Child-Health/CDC-PRAMStat-Data-for-2011/ese6-rqpq'}"
CDC STATE System E-Cigarette Legislation - Licensure,ne52-uraz,ne52-uraz_1736718042.876744_CDC_STATE_System_E-Cigarette_Legislation_-_Licensure_20250112.csv.gz,2025-01-12 21:40:42 UTC,https://data.cdc.gov/Legislation/CDC-STATE-System-E-Cigarette-Legislation-Licensure/ne52-uraz,"1995-2024. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System.  E-Cigarette Legislation—Licensure. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies.  Data are reported on a quarterly basis. Data include information related to requirements, restrictions and penalties associated with holding a retail license to sell e-cigarettes over-the-counter and through vending machines.",,"{'name': 'CDC STATE System E-Cigarette Legislation - Licensure', 'id': 'ne52-uraz', 'description': '1995-2024. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System.  E-Cigarette Legislation—Licensure. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies.  Data are reported on a quarterly basis. Data include information related to requirements, restrictions and penalties associated with holding a retail license to sell e-cigarettes over-the-counter and through vending machines.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Legislation/CDC-STATE-System-E-Cigarette-Legislation-Licensure/ne52-uraz'}"
CDC STATE System E-Cigarette Legislation - Preemption,piju-vf3p,piju-vf3p_1736716831.193045_CDC_STATE_System_E-Cigarette_Legislation_-_Preemption_20250112.csv.gz,2025-01-12 21:20:31 UTC,https://data.cdc.gov/Legislation/CDC-STATE-System-E-Cigarette-Legislation-Preemptio/piju-vf3p,"1995-2024. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System.  E-Cigarette Legislation—Preemption. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies.  Data are reported on a quarterly basis. Data include information related to statutory state preemption of more stringent local laws on advertising, smokefree indoor air, youth access and licensure.",,"{'name': 'CDC STATE System E-Cigarette Legislation - Preemption', 'id': 'piju-vf3p', 'description': '1995-2024. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System.  E-Cigarette Legislation—Preemption. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies.  Data are reported on a quarterly basis. Data include information related to statutory state preemption of more stringent local laws on advertising, smokefree indoor air, youth access and licensure.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Legislation/CDC-STATE-System-E-Cigarette-Legislation-Preemptio/piju-vf3p'}"
CDC STATE System E-Cigarette Legislation - Preemption Summary,88eg-qzed,88eg-qzed_1736736482.988172_CDC_STATE_System_E-Cigarette_Legislation_-_Preemption_Summary_20250113.csv.gz,2025-01-13 02:48:02 UTC,https://data.cdc.gov/Legislation/CDC-STATE-System-E-Cigarette-Legislation-Preemptio/88eg-qzed,"1995-2024. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. E-Cigarette Legislation – Preemption. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to summary state preemption of more stringent or differing local laws on smokefree indoor air, youth access and licensure that are applicable to e-cigarettes.",,"{'name': 'CDC STATE System E-Cigarette Legislation - Preemption Summary', 'id': '88eg-qzed', 'description': '1995-2024. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. E-Cigarette Legislation – Preemption. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to summary state preemption of more stringent or differing local laws on smokefree indoor air, youth access and licensure that are applicable to e-cigarettes.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Legislation/CDC-STATE-System-E-Cigarette-Legislation-Preemptio/88eg-qzed'}"
CDC STATE System E-Cigarette Legislation - Smokefree Campus,itia-u6fu,itia-u6fu_1736714148.374287_CDC_STATE_System_E-Cigarette_Legislation_-_Smokefree_Campus_20250112.csv.gz,2025-01-12 20:35:48 UTC,https://data.cdc.gov/Legislation/CDC-STATE-System-E-Cigarette-Legislation-Smokefree/itia-u6fu,1995-2024. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System.  E-Cigarette Legislation—Smokefree Campus. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include state smokefree indoor air laws for smokefree campuses in private and public colleges and schools (K-12).,,"{'name': 'CDC STATE System E-Cigarette Legislation - Smokefree Campus', 'id': 'itia-u6fu', 'description': '1995-2024. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System.  E-Cigarette Legislation—Smokefree Campus. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include state smokefree indoor air laws for smokefree campuses in private and public colleges and schools (K-12).', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Legislation/CDC-STATE-System-E-Cigarette-Legislation-Smokefree/itia-u6fu'}"
CDC STATE System E-Cigarette Legislation - Smokefree Indoor Air,wan8-w4er,wan8-w4er_1736712841.661553_CDC_STATE_System_E-Cigarette_Legislation_-_Smokefree_Indoor_Air_20250112.csv.gz,2025-01-12 20:14:01 UTC,https://data.cdc.gov/Legislation/CDC-STATE-System-E-Cigarette-Legislation-Smokefree/wan8-w4er,"1995-2024. Centers for Disease Control and Prevention (CDC).  State Tobacco Activities Tracking and Evaluation (STATE) System.  E-Cigarette Legislation—Smokefree Indoor Air. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to state legislation on smokefree indoor air in areas such as: Bars, Commercial Day Care Centers, Government Multi-Unit Housing, Government Worksites, Home-Based Day Care Centers, Hotels and Motels, Personal Vehicles, Private Multi-Unit Housing, Private Worksites, Restaurants, Bingo Halls, Casinos, Enclosed Arenas, Grocery Stores, Hospitals, Hospital Campuses, Malls, Mental Health Outpatient and Residential Facilities, Prisons, Public Transportation, Racetrack Casinos, Substance Abuse Outpatient and Residential Facilities.",,"{'name': 'CDC STATE System E-Cigarette Legislation - Smokefree Indoor Air', 'id': 'wan8-w4er', 'description': '1995-2024. Centers for Disease Control and Prevention (CDC).  State Tobacco Activities Tracking and Evaluation (STATE) System.  E-Cigarette Legislation—Smokefree Indoor Air. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to state legislation on smokefree indoor air in areas such as: Bars, Commercial Day Care Centers, Government Multi-Unit Housing, Government Worksites, Home-Based Day Care Centers, Hotels and Motels, Personal Vehicles, Private Multi-Unit Housing, Private Worksites, Restaurants, Bingo Halls, Casinos, Enclosed Arenas, Grocery Stores, Hospitals, Hospital Campuses, Malls, Mental Health Outpatient and Residential Facilities, Prisons, Public Transportation, Racetrack Casinos, Substance Abuse Outpatient and Residential Facilities.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Legislation/CDC-STATE-System-E-Cigarette-Legislation-Smokefree/wan8-w4er'}"
CDC STATE System E-Cigarette Legislation - Smokefree Indoor Air Summary,i8t6-whzd,i8t6-whzd_1736733562.362971_CDC_STATE_System_E-Cigarette_Legislation_-_Smokefree_Indoor_Air_Summary_20250113.csv.gz,2025-01-13 01:59:22 UTC,https://data.cdc.gov/Legislation/CDC-STATE-System-E-Cigarette-Legislation-Smokefree/i8t6-whzd,"1995-2024. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. E-Cigarette Legislation – Smokefree Indoor Air. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to state legislation on smokefree indoor air that apply to use of e-cigarettes in private worksites, restaurants, and bars.",,"{'name': 'CDC STATE System E-Cigarette Legislation - Smokefree Indoor Air Summary', 'id': 'i8t6-whzd', 'description': '1995-2024. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. E-Cigarette Legislation – Smokefree Indoor Air. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to state legislation on smokefree indoor air that apply to use of e-cigarettes in private worksites, restaurants, and bars.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Legislation/CDC-STATE-System-E-Cigarette-Legislation-Smokefree/i8t6-whzd'}"
CDC STATE System E-Cigarette Legislation - Tax,kwbr-syv2,kwbr-syv2_1736715656.943547_CDC_STATE_System_E-Cigarette_Legislation_-_Tax_20250112.csv.gz,2025-01-12 21:00:56 UTC,https://data.cdc.gov/Legislation/CDC-STATE-System-E-Cigarette-Legislation-Tax/kwbr-syv2,1995-2024. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System.  E-Cigarette Legislation—Tax. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include state excise taxes on e-cigarettes and tax stamps.,,"{'name': 'CDC STATE System E-Cigarette Legislation - Tax', 'id': 'kwbr-syv2', 'description': '1995-2024. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System.  E-Cigarette Legislation—Tax. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include state excise taxes on e-cigarettes and tax stamps.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Legislation/CDC-STATE-System-E-Cigarette-Legislation-Tax/kwbr-syv2'}"
CDC STATE System E-Cigarette Legislation - Youth Access,8zea-kwnt,8zea-kwnt_1736708677.236189_CDC_STATE_System_E-Cigarette_Legislation_-_Youth_Access_20250112.csv.gz,2025-01-12 19:04:37 UTC,https://data.cdc.gov/Legislation/CDC-STATE-System-E-Cigarette-Legislation-Youth-Acc/8zea-kwnt,"1995-2024. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. E-Cigarette Legislation—Youth Access. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies.  Data are reported on a quarterly basis. Data include information related to restrictions, enforcement and penalties associated with the sale of e-cigarettes to youth through retail sales and vending machines.",,"{'name': 'CDC STATE System E-Cigarette Legislation - Youth Access', 'id': '8zea-kwnt', 'description': '1995-2024. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. E-Cigarette Legislation—Youth Access. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies.  Data are reported on a quarterly basis. Data include information related to restrictions, enforcement and penalties associated with the sale of e-cigarettes to youth through retail sales and vending machines.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Legislation/CDC-STATE-System-E-Cigarette-Legislation-Youth-Acc/8zea-kwnt'}"
CDC STATE System Tobacco Legislation - Licensure,eb4y-d4ic,eb4y-d4ic_1736714121.080539_CDC_STATE_System_Tobacco_Legislation_-_Licensure_20250112.csv.gz,2025-01-12 20:35:21 UTC,https://data.cdc.gov/Legislation/CDC-STATE-System-Tobacco-Legislation-Licensure/eb4y-d4ic,"1995-2024. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation—Licensure. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies.  Data are reported on a quarterly basis. Data include information related to requirements, restrictions and penalties associated with holding a retail license to sell tobacco products over-the-counter and through vending machines.",,"{'name': 'CDC STATE System Tobacco Legislation - Licensure', 'id': 'eb4y-d4ic', 'description': '1995-2024. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation—Licensure. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies.  Data are reported on a quarterly basis. Data include information related to requirements, restrictions and penalties associated with holding a retail license to sell tobacco products over-the-counter and through vending machines.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Legislation/CDC-STATE-System-Tobacco-Legislation-Licensure/eb4y-d4ic'}"
CDC STATE System Tobacco Legislation - Preemption,xsta-sbh5,xsta-sbh5_1736713807.982054_CDC_STATE_System_Tobacco_Legislation_-_Preemption_20250112.csv.gz,2025-01-12 20:30:07 UTC,https://data.cdc.gov/Legislation/CDC-STATE-System-Tobacco-Legislation-Preemption/xsta-sbh5,"1995-2024. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation—Preemption. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies.  Data are reported on a quarterly basis. Data include information related to statutory state preemption of more stringent local laws on advertising, smokefree indoor air, youth access and licensure.",,"{'name': 'CDC STATE System Tobacco Legislation - Preemption', 'id': 'xsta-sbh5', 'description': '1995-2024. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation—Preemption. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies.  Data are reported on a quarterly basis. Data include information related to statutory state preemption of more stringent local laws on advertising, smokefree indoor air, youth access and licensure.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Legislation/CDC-STATE-System-Tobacco-Legislation-Preemption/xsta-sbh5'}"
CDC STATE System Tobacco Legislation - Preemption Summary,hj2x-85ya,hj2x-85ya_1736722679.502510_CDC_STATE_System_Tobacco_Legislation_-_Preemption_Summary_20250112.csv.gz,2025-01-12 22:57:59 UTC,https://data.cdc.gov/Legislation/CDC-STATE-System-Tobacco-Legislation-Preemption-Su/hj2x-85ya,"1995-2024. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation - Preemption. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to summary state preemption of more stringent or differing local laws on smokefree indoor air, youth access and licensure.",,"{'name': 'CDC STATE System Tobacco Legislation - Preemption Summary', 'id': 'hj2x-85ya', 'description': '1995-2024. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation - Preemption. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to summary state preemption of more stringent or differing local laws on smokefree indoor air, youth access and licensure.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Legislation/CDC-STATE-System-Tobacco-Legislation-Preemption-Su/hj2x-85ya'}"
CDC STATE System Tobacco Legislation - Smokefree Campus,yhkp-cczf,yhkp-cczf_1736710313.500714_CDC_STATE_System_Tobacco_Legislation_-_Smokefree_Campus_20250112.csv.gz,2025-01-12 19:31:53 UTC,https://data.cdc.gov/Legislation/CDC-STATE-System-Tobacco-Legislation-Smokefree-Cam/yhkp-cczf,1995-2024. Centers for Disease Control and Prevention (CDC).  State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation – Smokefree Campuses. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include state smokefree indoor air policies in areas such as: Smokefree campuses for private and public colleges and schools (K-12).,,"{'name': 'CDC STATE System Tobacco Legislation - Smokefree Campus', 'id': 'yhkp-cczf', 'description': '1995-2024. Centers for Disease Control and Prevention (CDC).  State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation – Smokefree Campuses. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include state smokefree indoor air policies in areas such as: Smokefree campuses for private and public colleges and schools (K-12).', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Legislation/CDC-STATE-System-Tobacco-Legislation-Smokefree-Cam/yhkp-cczf'}"
CDC STATE System Tobacco Legislation - Smokefree Indoor Air,32fd-hyzc,32fd-hyzc_1736711562.393594_CDC_STATE_System_Tobacco_Legislation_-_Smokefree_Indoor_Air_20250112.csv.gz,2025-01-12 19:52:42 UTC,https://data.cdc.gov/Legislation/CDC-STATE-System-Tobacco-Legislation-Smokefree-Ind/32fd-hyzc,"1995-2024. Centers for Disease Control and Prevention (CDC).  State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation – Smokefree Indoor Air. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to state legislation on smokefree indoor air in areas such as: Bars, Commercial Day Care Centers, Government Multi-Unit Housing, Government Worksites, Home-Based Day Care Centers, Hotels and Motels, Personal Vehicles, Private Multi-Unit Housing, Private Worksites, Restaurants, Bingo Halls, Casinos, Enclosed Arenas, Grocery Stores, Hospitals, Hospital Campuses, Malls, Mental Health Outpatient and Residential Facilities, Prisons, Public Transportation, Racetrack Casinos, Substance Abuse Outpatient and Residential Facilities.","<https://data.cdc.gov/Legislation/CDC-STATE-System-Tobacco-Legislation-Smokefree-Ind/32fd-hyzc>; rel=""original"",
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<http://web.archive.org/web/20241126091659/https://data.cdc.gov/Legislation/CDC-STATE-System-Tobacco-Legislation-Smokefree-Ind/32fd-hyzc>; rel=""memento""; datetime=""Tue, 26 Nov 2024 09:16:59 GMT"",
<http://web.archive.org/web/20241128133025/https://data.cdc.gov/Legislation/CDC-STATE-System-Tobacco-Legislation-Smokefree-Ind/32fd-hyzc>; rel=""memento""; datetime=""Thu, 28 Nov 2024 13:30:25 GMT"",
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<http://web.archive.org/web/20250212164814/https://data.cdc.gov/Legislation/CDC-STATE-System-Tobacco-Legislation-Smokefree-Ind/32fd-hyzc>; rel=""memento""; datetime=""Wed, 12 Feb 2025 16:48:14 GMT""
","{'name': 'CDC STATE System Tobacco Legislation - Smokefree Indoor Air', 'id': '32fd-hyzc', 'description': '1995-2024. Centers for Disease Control and Prevention (CDC).  State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation – Smokefree Indoor Air. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to state legislation on smokefree indoor air in areas such as: Bars, Commercial Day Care Centers, Government Multi-Unit Housing, Government Worksites, Home-Based Day Care Centers, Hotels and Motels, Personal Vehicles, Private Multi-Unit Housing, Private Worksites, Restaurants, Bingo Halls, Casinos, Enclosed Arenas, Grocery Stores, Hospitals, Hospital Campuses, Malls, Mental Health Outpatient and Residential Facilities, Prisons, Public Transportation, Racetrack Casinos, Substance Abuse Outpatient and Residential Facilities.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Legislation/CDC-STATE-System-Tobacco-Legislation-Smokefree-Ind/32fd-hyzc'}"
CDC STATE System Tobacco Legislation - Smokefree Indoor Air Summary,2snk-eav4,2snk-eav4_1736715903.938708_CDC_STATE_System_Tobacco_Legislation_-_Smokefree_Indoor_Air_Summary_20250112.csv.gz,2025-01-12 21:05:03 UTC,https://data.cdc.gov/Legislation/CDC-STATE-System-Tobacco-Legislation-Smokefree-Ind/2snk-eav4,"1995-2024. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation – Smokefree Indoor Air. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to state legislation on smokefree indoor air in private worksites, restaurants, and bars.",,"{'name': 'CDC STATE System Tobacco Legislation - Smokefree Indoor Air Summary', 'id': '2snk-eav4', 'description': '1995-2024. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation – Smokefree Indoor Air. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to state legislation on smokefree indoor air in private worksites, restaurants, and bars.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Legislation/CDC-STATE-System-Tobacco-Legislation-Smokefree-Ind/2snk-eav4'}"
CDC STATE System Tobacco Legislation - Tax,2dwv-vfam,2dwv-vfam_1736711653.725525_CDC_STATE_System_Tobacco_Legislation_-_Tax_20250112.csv.gz,2025-01-12 19:54:13 UTC,https://data.cdc.gov/Legislation/CDC-STATE-System-Tobacco-Legislation-Tax/2dwv-vfam,"1995-2024. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation-Tax. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include state taxes on combustible (cigarettes, cigars, little cigars, pipe tobacco, and roll-your-own tobacco) tobacco products, non-combustible (snus, moist snuff, dry snuff, chewing tobacco) tobacco products, and tax stamps.",,"{'name': 'CDC STATE System Tobacco Legislation - Tax', 'id': '2dwv-vfam', 'description': '1995-2024. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation-Tax. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include state taxes on combustible (cigarettes, cigars, little cigars, pipe tobacco, and roll-your-own tobacco) tobacco products, non-combustible (snus, moist snuff, dry snuff, chewing tobacco) tobacco products, and tax stamps.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Legislation/CDC-STATE-System-Tobacco-Legislation-Tax/2dwv-vfam'}"
CDC STATE System Tobacco Legislation - Youth Access,hgv5-3wrn,hgv5-3wrn_1736714516.616253_CDC_STATE_System_Tobacco_Legislation_-_Youth_Access_20250112.csv.gz,2025-01-12 20:41:56 UTC,https://data.cdc.gov/Legislation/CDC-STATE-System-Tobacco-Legislation-Youth-Access/hgv5-3wrn,"1995-2024. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation—Youth Access. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies.  Data are reported on a quarterly basis. Data include information related to restrictions, enforcement and penalties associated with the sale of cigarettes to youth through retail sales and vending machines.",,"{'name': 'CDC STATE System Tobacco Legislation - Youth Access', 'id': 'hgv5-3wrn', 'description': '1995-2024. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation—Youth Access. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies.  Data are reported on a quarterly basis. Data include information related to restrictions, enforcement and penalties associated with the sale of cigarettes to youth through retail sales and vending machines.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Legislation/CDC-STATE-System-Tobacco-Legislation-Youth-Access/hgv5-3wrn'}"
"CDC Text Corpora for Learners: HTML Mirrors of MMWR, EID, and PCD",ut5n-bmc3,ut5n-bmc3_1736738058.005316_CDC_Text_Corpora_for_Learners__HTML_Mirrors_of_MMWR__EID__and_PCD_20250113.csv.gz,2025-01-13 03:14:18 UTC,https://data.cdc.gov/National-Center-for-State-Tribal-Local-and-Territo/CDC-Text-Corpora-for-Learners-HTML-Mirrors-of-MMWR/ut5n-bmc3,"The attached ZIP archives are part of the <a href=""https://github.com/cmheilig/harvest-cdc-journals"">CDC Text Corpora for Learners</a> program. This version, comprised of 33,567 articles, was constructed on 2024-03-01 using source content retrieved on 2024-01-09. 

The attached three ZIP archives contain the 33,567  articles in 33,576 compiled HTML mirrors of the MMWR <a href=""https://www.cdc.gov/mmwr/"">Morbidity and Mortality Weekly Report</a> including its series: <i>Weekly Reports</i>, <i>Recommendations and Reports</i>, <i>Surveillance Summaries</i>, <i>Supplements</i>, and <i>Notifiable Diseases</i>, a subset of <i>Weekly Reports</i>, constructed ad hoc; EID <a href=""https://www.cdc.gov/eid/"">Emerging Infectious Diseases</a>; and PCD <a href=""https://www.cdc.gov/pcd/"">Preventing Chronic Disease</a>.There is one archive per series. The archive attachments are located in the <i>About this Dataset</i> section of this landing page. In that section when you click Show More, the attachments are located in the section <i>Attachments</i>.

The retrieval and organization of the files included making as few changes to raw sources as possible, to support as many downstream uses as possible.",,"{'name': 'CDC Text Corpora for Learners: HTML Mirrors of MMWR, EID, and PCD', 'id': 'ut5n-bmc3', 'description': 'The attached ZIP archives are part of the <a href=""https://github.com/cmheilig/harvest-cdc-journals"">CDC Text Corpora for Learners</a> program. This version, comprised of 33,567 articles, was constructed on 2024-03-01 using source content retrieved on 2024-01-09. \n\nThe attached three ZIP archives contain the 33,567  articles in 33,576 compiled HTML mirrors of the MMWR <a href=""https://www.cdc.gov/mmwr/"">Morbidity and Mortality Weekly Report</a> including its series: <i>Weekly Reports</i>, <i>Recommendations and Reports</i>, <i>Surveillance Summaries</i>, <i>Supplements</i>, and <i>Notifiable Diseases</i>, a subset of <i>Weekly Reports</i>, constructed ad hoc; EID <a href=""https://www.cdc.gov/eid/"">Emerging Infectious Diseases</a>; and PCD <a href=""https://www.cdc.gov/pcd/"">Preventing Chronic Disease</a>.There is one archive per series. The archive attachments are located in the <i>About this Dataset</i> section of this landing page. In that section when you click Show More, the attachments are located in the section <i>Attachments</i>.\n\nThe retrieval and organization of the files included making as few changes to raw sources as possible, to support as many downstream uses as possible.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/National-Center-for-State-Tribal-Local-and-Territo/CDC-Text-Corpora-for-Learners-HTML-Mirrors-of-MMWR/ut5n-bmc3'}"
"CDC Text Corpora for Learners: MMWR, EID, and PCD Article Metadata",7rih-tqi5,7rih-tqi5_1736737953.050185_CDC_Text_Corpora_for_Learners__MMWR__EID__and_PCD_Article_Metadata_20250113.csv.gz,2025-01-13 03:12:33 UTC,https://data.cdc.gov/National-Center-for-State-Tribal-Local-and-Territo/CDC-Text-Corpora-for-Learners-MMWR-EID-and-PCD-Art/7rih-tqi5,"This landing page is part of the <a href=""https://github.com/cmheilig/harvest-cdc-journals"">CDC Text Corpora for Learners</a> program; this includes the compiled 33,576 CDC Text for Learners <a href=""https://data.cdc.gov/National-Center-for-State-Tribal-Local-and-Territo/CDC-Text-Corpora-for-Learners-HTML-Mirrors-of-MMWR/ut5n-bmc3/about_data"">HTML mirrors</a> of the MMWR <a href=""https://www.cdc.gov/mmwr/"">Morbidity and Mortality Weekly Report</a> including its series: <i>Weekly Reports</i>, <i>Recommendations and Reports</i>, <i>Surveillance Summaries</i>, <i>Supplements</i>, and <i>Notifiable Diseases</i>, a subset of <i>Weekly Reports</i>, constructed ad hoc; EID <a href=""https://www.cdc.gov/eid/"">Emerging Infectious Diseases</a>; and PCD <a href=""https://www.cdc.gov/pcd/"">Preventing Chronic Disease</a>

The data represented here is the tabulated <a href=""https://github.com/cmheilig/harvest-cdc-journals/blob/main/README.md#metadata-fields"">metadata</a> of the combined 33,567 articles of the  <a href=""https://github.com/cmheilig/harvest-cdc-journals?tab=readme-ov-file#collections"">MMWR, EID, and PCD collections</a> whose contents are organized into three ZIP archived JSON files per collection. The JSON value output formats include UTF-8 HTML, UTF-8 markdown, and ASCII plain text.

The <a href=""https://github.com/cmheilig/harvest-cdc-journals?tab=readme-ov-file#collections"">JSON files</a> are located in the <a href=""https://github.com/cmheilig/harvest-cdc-journals"">program's repository.</a> This version was constructed on 2024-03-01 using source content retrieved on 2024-01-09.","<https://data.cdc.gov/National-Center-for-State-Tribal-Local-and-Territo/CDC-Text-Corpora-for-Learners-MMWR-EID-and-PCD-Art/7rih-tqi5>; rel=""original"",
<http://web.archive.org/web/timemap/link/https://data.cdc.gov/National-Center-for-State-Tribal-Local-and-Territo/CDC-Text-Corpora-for-Learners-MMWR-EID-and-PCD-Art/7rih-tqi5>; rel=""self""; type=""application/link-format""; from=""Wed, 29 May 2024 14:44:49 GMT"",
<http://web.archive.org/web/https://data.cdc.gov/National-Center-for-State-Tribal-Local-and-Territo/CDC-Text-Corpora-for-Learners-MMWR-EID-and-PCD-Art/7rih-tqi5>; rel=""timegate"",
<http://web.archive.org/web/20240529144449/https://data.cdc.gov/National-Center-for-State-Tribal-Local-and-Territo/CDC-Text-Corpora-for-Learners-MMWR-EID-and-PCD-Art/7rih-tqi5>; rel=""first memento""; datetime=""Wed, 29 May 2024 14:44:49 GMT"",
<http://web.archive.org/web/20240926192433/https://data.cdc.gov/National-Center-for-State-Tribal-Local-and-Territo/CDC-Text-Corpora-for-Learners-MMWR-EID-and-PCD-Art/7rih-tqi5>; rel=""memento""; datetime=""Thu, 26 Sep 2024 19:24:33 GMT"",
<http://web.archive.org/web/20241125051310/https://data.cdc.gov/National-Center-for-State-Tribal-Local-and-Territo/CDC-Text-Corpora-for-Learners-MMWR-EID-and-PCD-Art/7rih-tqi5>; rel=""memento""; datetime=""Mon, 25 Nov 2024 05:13:10 GMT"",
<http://web.archive.org/web/20241125154607/https://data.cdc.gov/National-Center-for-State-Tribal-Local-and-Territo/CDC-Text-Corpora-for-Learners-MMWR-EID-and-PCD-Art/7rih-tqi5>; rel=""memento""; datetime=""Mon, 25 Nov 2024 15:46:07 GMT"",
<http://web.archive.org/web/20250131233017/https://data.cdc.gov/National-Center-for-State-Tribal-Local-and-Territo/CDC-Text-Corpora-for-Learners-MMWR-EID-and-PCD-Art/7rih-tqi5>; rel=""memento""; datetime=""Fri, 31 Jan 2025 23:30:17 GMT"",
<http://web.archive.org/web/20250201022919/https://data.cdc.gov/National-Center-for-State-Tribal-Local-and-Territo/CDC-Text-Corpora-for-Learners-MMWR-EID-and-PCD-Art/7rih-tqi5>; rel=""memento""; datetime=""Sat, 01 Feb 2025 02:29:19 GMT"",
<http://web.archive.org/web/20250201211849/https://data.cdc.gov/National-Center-for-State-Tribal-Local-and-Territo/CDC-Text-Corpora-for-Learners-MMWR-EID-and-PCD-Art/7rih-tqi5>; rel=""memento""; datetime=""Sat, 01 Feb 2025 21:18:49 GMT"",
<http://web.archive.org/web/20250202090929/https://data.cdc.gov/National-Center-for-State-Tribal-Local-and-Territo/CDC-Text-Corpora-for-Learners-MMWR-EID-and-PCD-Art/7rih-tqi5>; rel=""memento""; datetime=""Sun, 02 Feb 2025 09:09:29 GMT"",
<http://web.archive.org/web/20250205170824/https://data.cdc.gov/National-Center-for-State-Tribal-Local-and-Territo/CDC-Text-Corpora-for-Learners-MMWR-EID-and-PCD-Art/7rih-tqi5>; rel=""memento""; datetime=""Wed, 05 Feb 2025 17:08:24 GMT"",
<http://web.archive.org/web/20250206091806/https://data.cdc.gov/National-Center-for-State-Tribal-Local-and-Territo/CDC-Text-Corpora-for-Learners-MMWR-EID-and-PCD-Art/7rih-tqi5>; rel=""memento""; datetime=""Thu, 06 Feb 2025 09:18:06 GMT"",
<http://web.archive.org/web/20250210145309/https://data.cdc.gov/National-Center-for-State-Tribal-Local-and-Territo/CDC-Text-Corpora-for-Learners-MMWR-EID-and-PCD-Art/7rih-tqi5>; rel=""memento""; datetime=""Mon, 10 Feb 2025 14:53:09 GMT"",
<http://web.archive.org/web/20250210145405/https://data.cdc.gov/National-Center-for-State-Tribal-Local-and-Territo/CDC-Text-Corpora-for-Learners-MMWR-EID-and-PCD-Art/7rih-tqi5/>; rel=""memento""; datetime=""Mon, 10 Feb 2025 14:54:05 GMT"",
<http://web.archive.org/web/20250210145450/https://data.cdc.gov/National-Center-for-State-Tribal-Local-and-Territo/CDC-Text-Corpora-for-Learners-MMWR-EID-and-PCD-Art/7rih-tqi5>; rel=""memento""; datetime=""Mon, 10 Feb 2025 14:54:50 GMT""
","{'name': 'CDC Text Corpora for Learners: MMWR, EID, and PCD Article Metadata', 'id': '7rih-tqi5', 'description': 'This landing page is part of the <a href=""https://github.com/cmheilig/harvest-cdc-journals"">CDC Text Corpora for Learners</a> program; this includes the compiled 33,576 CDC Text for Learners <a href=""https://data.cdc.gov/National-Center-for-State-Tribal-Local-and-Territo/CDC-Text-Corpora-for-Learners-HTML-Mirrors-of-MMWR/ut5n-bmc3/about_data"">HTML mirrors</a> of the MMWR <a href=""https://www.cdc.gov/mmwr/"">Morbidity and Mortality Weekly Report</a> including its series: <i>Weekly Reports</i>, <i>Recommendations and Reports</i>, <i>Surveillance Summaries</i>, <i>Supplements</i>, and <i>Notifiable Diseases</i>, a subset of <i>Weekly Reports</i>, constructed ad hoc; EID <a href=""https://www.cdc.gov/eid/"">Emerging Infectious Diseases</a>; and PCD <a href=""https://www.cdc.gov/pcd/"">Preventing Chronic Disease</a>\n\nThe data represented here is the tabulated <a href=""https://github.com/cmheilig/harvest-cdc-journals/blob/main/README.md#metadata-fields"">metadata</a> of the combined 33,567 articles of the  <a href=""https://github.com/cmheilig/harvest-cdc-journals?tab=readme-ov-file#collections"">MMWR, EID, and PCD collections</a> whose contents are organized into three ZIP archived JSON files per collection. The JSON value output formats include UTF-8 HTML, UTF-8 markdown, and ASCII plain text.\n\nThe <a href=""https://github.com/cmheilig/harvest-cdc-journals?tab=readme-ov-file#collections"">JSON files</a> are located in the <a href=""https://github.com/cmheilig/harvest-cdc-journals"">program\'s repository.</a> This version was constructed on 2024-03-01 using source content retrieved on 2024-01-09.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/National-Center-for-State-Tribal-Local-and-Territo/CDC-Text-Corpora-for-Learners-MMWR-EID-and-PCD-Art/7rih-tqi5'}"
CDC.gov CleanSlate and Relaunch URL Mappings,vyry-2yfg,vyry-2yfg_1736721293.075946_CDC.gov_CleanSlate_and_Relaunch_URL_Mappings_20250112.csv.gz,2025-01-12 22:34:53 UTC,https://data.cdc.gov/dataset/CDC-gov-CleanSlate-and-Relaunch-URL-Mappings/vyry-2yfg,"CDC is planning a major relaunch of CDC.gov on May 15th, followed by subsequent monthly batches of sites restructuring their CDC.gov content into the fall of 2024.
 
Because this restructuring includes merged or changed content, CDC will be updating all URLs to a new standard naming structure. About 70% of these updates will occur during the May 15th launch, but another 30% of our content and URLs will be restructured on a rolling schedule. 
 
This data set contains the mapping information from old URLs to new URLs. Before May 15th, 2024, this dataset will only include one row of data to preview the fields in the dataset. After May 15th it will contain all content URLs that changed as part of the relaunch of CDC.gov. After launch, we will continue to add additional mappings typically around the 15th of each month for any for sites updated in each monthly batch.",,"{'name': 'CDC.gov CleanSlate and Relaunch URL Mappings', 'id': 'vyry-2yfg', 'description': 'CDC is planning a major relaunch of CDC.gov on May 15th, followed by subsequent monthly batches of sites restructuring their CDC.gov content into the fall of 2024.\n \nBecause this restructuring includes merged or changed content, CDC will be updating all URLs to a new standard naming structure. About 70% of these updates will occur during the May 15th launch, but another 30% of our content and URLs will be restructured on a rolling schedule. \n \nThis data set contains the mapping information from old URLs to new URLs. Before May 15th, 2024, this dataset will only include one row of data to preview the fields in the dataset.\u202fAfter May 15th it will contain all content URLs that changed as part of the relaunch of CDC.gov. After launch, we will continue to add additional mappings typically around the 15th of each month for any for sites updated in each monthly batch.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/dataset/CDC-gov-CleanSlate-and-Relaunch-URL-Mappings/vyry-2yfg'}"
CDC.gov metrics hits by year,wnjn-mave,wnjn-mave_1736720031.653715_CDC.gov_metrics_hits_by_year_20250112.csv.gz,2025-01-12 22:13:51 UTC,https://data.cdc.gov/Web-Metrics/CDC-gov-metrics-hits-by-year/wnjn-mave,For more information on CDC.gov metrics please see http://www.cdc.gov/metrics/,,"{'name': 'CDC.gov metrics hits by year', 'id': 'wnjn-mave', 'description': 'For more information on CDC.gov metrics please see http://www.cdc.gov/metrics/', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Web-Metrics/CDC-gov-metrics-hits-by-year/wnjn-mave'}"
COVID-19 Booster Dose Eligibility in the United States,jk8p-fqhn,jk8p-fqhn_1736715412.612773_COVID-19_Booster_Dose_Eligibility_in_the_United_States_20250112.csv.gz,2025-01-12 20:56:52 UTC,https://data.cdc.gov/Vaccinations/COVID-19-Booster-Dose-Eligibility-in-the-United-St/jk8p-fqhn,"<p style=""margin:0in;vertical-align:baseline;""><span style='font-size:15px;font-family:""Calibri"",sans-serif;color:black;'>This site provides historical data related to COVID-19 booster dose eligibility presented on two CDC COVID Data Tracker sites:&nbsp;</span><a href=""https://covid.cdc.gov/covid-data-tracker/#vaccinations""><span style='font-size:15px;font-family:""Calibri"",sans-serif;color:black;'>Vaccinations in the US</span></a><span style='font-size:15px;font-family:""Calibri"",sans-serif;color:black;'>&nbsp;and&nbsp;</span><a href=""https://covid.cdc.gov/covid-data-tracker/#vaccination-equity""><span style='font-size:15px;font-family:""Calibri"",sans-serif;color:black;'>Vaccination Equity</span></a><span style='font-size:15px;font-family:""Calibri"",sans-serif;color:black;'>.&nbsp;</span><span style='font-size:15px;font-family:""Calibri"",sans-serif;color:black;'>&nbsp;</span><span style='font-size:15px;font-family:""Calibri"",sans-serif;color:black;'>Data are updated weekly on Thursdays.</span></p><p style=""margin:0in;vertical-align:baseline;""><span style='font-size:15px;font-family:""Calibri"",sans-serif;color:black;'>Some COVID-19 vaccine recipients are&nbsp;</span><a href=""https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html"" target=""_blank""><span style='font-size:15px;font-family:""Calibri"",sans-serif;color:black;'>eligible to receive booster doses</span></a><span style='font-size:15px;font-family:""Calibri"",sans-serif;color:black;'>,&nbsp;</span><span style=""font-size:11px;"">&nbsp;</span><span style='font-size:15px;font-family:""Calibri"",sans-serif;color:black;'>and criteria for booster eligibility may change over time. Data and footnotes will be updated to align with the current recommendations.&nbsp;</span><span style='font-size:15px;font-family:""Calibri"",sans-serif;color:black;'>&nbsp;</span></p><p style=""margin:0in;vertical-align:baseline;""><span style='font-size:15px;font-family:""Calibri"",sans-serif;color:black;'>CDC counts people as having &ldquo;received a booster dose&rdquo; if they are fully vaccinated and received another dose of any COVID-19 vaccine on or after August 13, 2021. This does not distinguish whether the recipient is&nbsp;</span><a href=""https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/immuno.html"" target=""_blank""><span style='font-size:15px;font-family:""Calibri"",sans-serif;color:black;'>immunocompromised and received an additional dose</span></a></p><p style=""margin:0in;vertical-align:baseline;""><strong><em><span style='font-size:15px;font-family:""Calibri"",sans-serif;color:black;'>Data Limitations:</span></em></strong><span style='font-size:15px;font-family:""Calibri"",sans-serif;color:black;'>&nbsp;</span></p><ul style=""list-style-type: undefined;margin-left:0in;""><li><span style='font-family:""Calibri"",sans-serif;color:black;font-size:11.0pt;color:black;'>The booster eligibility metric excludes fully vaccinated recipients who have an &ldquo;Other&rdquo; primary series vaccine type. </span><span style='font-family:""Calibri"",sans-serif;font-size:11.0pt;color:black;'>&nbsp;</span></li><li><span style='font-family:""Calibri"",sans-serif;color:black;font-size:11.0pt;color:black;'>Booster eligibility counts and percentages exclude vaccine administrations reported by Texas as the primary series cannot be linked to booster dose in the aggregate data submitted by Texas.</span><span style='font-family:""Calibri"",sans-serif;font-size:11.0pt;color:black;'>&nbsp;</span></li></ul><p style=""margin:0in;vertical-align:baseline;""><strong><em><span style='font-size:15px;font-family:""Calibri"",sans-serif;'>Footnotes:</span></em></strong></p><p style=""margin:0in;vertical-align:baseline;""><span style='font-size:15px;font-family:""Calibri"",sans-serif;'>CDC counts people as being &ldquo;</span><a href=""https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html"" target=""_blank""><span style='font-size:15px;font-family:""Calibri"",sans-serif;color:windowtext;'>eligible to get a booster dose</span></a><","<https://data.cdc.gov/Vaccinations/COVID-19-Booster-Dose-Eligibility-in-the-United-St/jk8p-fqhn>; rel=""original"",
<http://web.archive.org/web/timemap/link/https://data.cdc.gov/Vaccinations/COVID-19-Booster-Dose-Eligibility-in-the-United-St/jk8p-fqhn>; rel=""self""; type=""application/link-format""; from=""Sat, 05 Feb 2022 17:34:03 GMT"",
<http://web.archive.org/web/https://data.cdc.gov/Vaccinations/COVID-19-Booster-Dose-Eligibility-in-the-United-St/jk8p-fqhn>; rel=""timegate"",
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<http://web.archive.org/web/20250212164841/https://data.cdc.gov/Vaccinations/COVID-19-Booster-Dose-Eligibility-in-the-United-St/jk8p-fqhn>; rel=""memento""; datetime=""Wed, 12 Feb 2025 16:48:41 GMT""
","{'name': 'COVID-19 Booster Dose Eligibility in the United States', 'id': 'jk8p-fqhn', 'description': '<p style=""margin:0in;vertical-align:baseline;""><span style=\'font-size:15px;font-family:""Calibri"",sans-serif;color:black;\'>This site provides historical data related to COVID-19 booster dose eligibility presented on two CDC COVID Data Tracker sites:&nbsp;</span><a href=""https://covid.cdc.gov/covid-data-tracker/#vaccinations""><span style=\'font-size:15px;font-family:""Calibri"",sans-serif;color:black;\'>Vaccinations in the US</span></a><span style=\'font-size:15px;font-family:""Calibri"",sans-serif;color:black;\'>&nbsp;and&nbsp;</span><a href=""https://covid.cdc.gov/covid-data-tracker/#vaccination-equity""><span style=\'font-size:15px;font-family:""Calibri"",sans-serif;color:black;\'>Vaccination Equity</span></a><span style=\'font-size:15px;font-family:""Calibri"",sans-serif;color:black;\'>.&nbsp;</span><span style=\'font-size:15px;font-family:""Calibri"",sans-serif;color:black;\'>&nbsp;</span><span style=\'font-size:15px;font-family:""Calibri"",sans-serif;color:black;\'>Data are updated weekly on Thursdays.</span></p><p style=""margin:0in;vertical-align:baseline;""><span style=\'font-size:15px;font-family:""Calibri"",sans-serif;color:black;\'>Some COVID-19 vaccine recipients are&nbsp;</span><a href=""https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html"" target=""_blank""><span style=\'font-size:15px;font-family:""Calibri"",sans-serif;color:black;\'>eligible to receive booster doses</span></a><span style=\'font-size:15px;font-family:""Calibri"",sans-serif;color:black;\'>,&nbsp;</span><span style=""font-size:11px;"">&nbsp;</span><span style=\'font-size:15px;font-family:""Calibri"",sans-serif;color:black;\'>and criteria for booster eligibility may change over time. Data and footnotes will be updated to align with the current recommendations.&nbsp;</span><span style=\'font-size:15px;font-family:""Calibri"",sans-serif;color:black;\'>&nbsp;</span></p><p style=""margin:0in;vertical-align:baseline;""><span style=\'font-size:15px;font-family:""Calibri"",sans-serif;color:black;\'>CDC counts people as having &ldquo;received a booster dose&rdquo; if they are fully vaccinated and received another dose of any COVID-19 vaccine on or after August 13, 2021. This does not distinguish whether the recipient is&nbsp;</span><a href=""https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/immuno.html"" target=""_blank""><span style=\'font-size:15px;font-family:""Calibri"",sans-serif;color:black;\'>immunocompromised and received an additional dose</span></a></p><p style=""margin:0in;vertical-align:baseline;""><strong><em><span style=\'font-size:15px;font-family:""Calibri"",sans-serif;color:black;\'>Data Limitations:</span></em></strong><span style=\'font-size:15px;font-family:""Calibri"",sans-serif;color:black;\'>&nbsp;</span></p><ul style=""list-style-type: undefined;margin-left:0in;""><li><span style=\'font-family:""Calibri"",sans-serif;color:black;font-size:11.0pt;color:black;\'>The booster eligibility metric excludes fully vaccinated recipients who have an &ldquo;Other&rdquo; primary series vaccine type.\u202f</span><span style=\'font-family:""Calibri"",sans-serif;font-size:11.0pt;color:black;\'>&nbsp;</span></li><li><span style=\'font-family:""Calibri"",sans-serif;color:black;font-size:11.0pt;color:black;\'>Booster eligibility counts and percentages exclude vaccine administrations reported by Texas as the primary series cannot be linked to booster dose in the aggregate data submitted by Texas.</span><span style=\'font-family:""Calibri"",sans-serif;font-size:11.0pt;color:black;\'>&nbsp;</span></li></ul><p style=""margin:0in;vertical-align:baseline;""><strong><em><span style=\'font-size:15px;font-family:""Calibri"",sans-serif;\'>Footnotes:</span></em></strong></p><p style=""margin:0in;vertical-align:baseline;""><span style=\'font-size:15px;font-family:""Calibri"",sans-serif;\'>CDC counts people as being &ldquo;</span><a href=""https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html"" target=""_blank""><span style=\'font-size:15px;font-family:""Calibri"",sans-serif;color:windowtext;\'>eligible to get a booster dose</span></a><', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/COVID-19-Booster-Dose-Eligibility-in-the-United-St/jk8p-fqhn'}"
COVID-19 Case Surveillance Public Use Data,vbim-akqf,vbim-akqf_1737086573.367295_COVID_19_Case_Surveillance_Public_Use_Data.csv.gz,2025-01-17 04:02:53 UTC,https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf,"<b>Note:</b>
Reporting of new COVID-19 Case Surveillance data will be discontinued July 1, 2024, to align with the process of removing SARS-CoV-2 infections (COVID-19 cases) from the list of nationally notifiable diseases. Although these data will continue to be publicly available, the dataset will no longer be updated.  

Authorizations to collect certain public health data expired at the end of the U.S. public health emergency declaration on May 11, 2023. The following jurisdictions discontinued COVID-19 case notifications to CDC: Iowa (11/8/21), Kansas (5/12/23), Kentucky (1/1/24), Louisiana (10/31/23), New Hampshire (5/23/23), and Oklahoma (5/2/23). Please note that these jurisdictions will not routinely send new case data after the dates indicated. As of 7/13/23, case notifications from Oregon will only include pediatric cases resulting in death.


This case surveillance public use dataset has 12 elements for all COVID-19 cases shared with CDC and includes demographics, any exposure history, disease severity indicators and outcomes, presence of any underlying medical conditions and risk behaviors, and no geographic data.

<h4><b>CDC has three COVID-19 case surveillance datasets:</b></h4><ul><li><a href=""https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data-with-Ge/n8mc-b4w4"">COVID-19 Case Surveillance Public Use Data with Geography</a>: Public use, patient-level dataset with clinical data (including symptoms), demographics, and county and state of residence. (19 data elements)</li><li><a href=""https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf"">COVID-19 Case Surveillance Public Use Data</a>: Public use, patient-level dataset with clinical and symptom data and demographics, with no geographic data. (12 data elements)</li><li><a href=""https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Restricted-Access-Detai/mbd7-r32t"">COVID-19 Case Surveillance Restricted Access Detailed Data</a>: Restricted access, patient-level dataset with clinical and symptom data, demographics, and state and county of residence. Access requires a registration process and a data use agreement. (33 data elements)</li></ul>

The following apply to all three datasets:
<ul><li>Data elements can be found on the COVID-19 case report form located at <a href=""https://www.cdc.gov/coronavirus/2019-ncov/downloads/pui-form.pdf"">www.cdc.gov/coronavirus/2019-ncov/downloads/pui-form.pdf</a>.</li><li>Data are considered provisional by CDC and are subject to change until the data are reconciled and verified with the state and territorial data providers.</li><li>Some data cells are suppressed to protect individual privacy.</li><li>The datasets will include all cases with the earliest date available in each record (date received by CDC or date related to illness/specimen collection) at least 14 days prior to the creation of the current datasets. This 14-day lag allows case reporting to be stabilized and ensures that time-dependent outcome data are accurately captured.</li><li>Datasets are updated monthly.</li><li>Datasets are created using CDC’s <a href=""https://www.cdc.gov/grants/additional-requirements/ar-25.html"">Policy on Public Health Research and Nonresearch Data Management and Access</a> and include protections designed to protect individual privacy.</li><li>For more information about data collection and reporting, please see <a href=""https://www.cdc.gov/coronavirus/2019-ncov/covid-data/about-us-cases-deaths.html"">https://www.cdc.gov/coronavirus/2019-ncov/covid-data/about-us-cases-deaths.html.</a></li><li>For more information about the COVID-19 case surveillance data, please see <a href=""https://www.cdc.gov/coronavirus/2019-ncov/covid-data/faq-surveillance.html""> https://www.cdc.gov/coronavirus/2019-ncov/covid-data/faq-surveillance.html</a><br></li></ul>

<h4><b>Overview</b></h4>

The COVID-19 case surveillance database includes individual-level data reported to U.S. states and aut","<https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""original"",
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<http://web.archive.org/web/20200716171400/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 16 Jul 2020 17:14:00 GMT"",
<http://web.archive.org/web/20200716220437/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 16 Jul 2020 22:04:37 GMT"",
<http://web.archive.org/web/20200723060150/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 23 Jul 2020 06:01:50 GMT"",
<http://web.archive.org/web/20200806052516/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 06 Aug 2020 05:25:16 GMT"",
<http://web.archive.org/web/20200811200041/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 11 Aug 2020 20:00:41 GMT"",
<http://web.archive.org/web/20200813025517/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 13 Aug 2020 02:55:17 GMT"",
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<http://web.archive.org/web/20200829101727/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 29 Aug 2020 10:17:27 GMT"",
<http://web.archive.org/web/20200831093801/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 31 Aug 2020 09:38:01 GMT"",
<http://web.archive.org/web/20200831093808/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 31 Aug 2020 09:38:08 GMT"",
<http://web.archive.org/web/20200831100157/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 31 Aug 2020 10:01:57 GMT"",
<http://web.archive.org/web/20200831100204/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 31 Aug 2020 10:02:04 GMT"",
<http://web.archive.org/web/20200831163347/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 31 Aug 2020 16:33:47 GMT"",
<http://web.archive.org/web/20200831163354/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 31 Aug 2020 16:33:54 GMT"",
<http://web.archive.org/web/20200831170448/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 31 Aug 2020 17:04:48 GMT"",
<http://web.archive.org/web/20200831170458/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 31 Aug 2020 17:04:58 GMT"",
<http://web.archive.org/web/20200831181221/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 31 Aug 2020 18:12:21 GMT"",
<http://web.archive.org/web/20200831181228/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 31 Aug 2020 18:12:28 GMT"",
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<http://web.archive.org/web/20200905004959/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 05 Sep 2020 00:49:59 GMT"",
<http://web.archive.org/web/20200907144023/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 07 Sep 2020 14:40:23 GMT"",
<http://web.archive.org/web/20200907144030/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 07 Sep 2020 14:40:30 GMT"",
<http://web.archive.org/web/20200907153033/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 07 Sep 2020 15:30:33 GMT"",
<http://web.archive.org/web/20200907153042/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 07 Sep 2020 15:30:42 GMT"",
<http://web.archive.org/web/20200907161935/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 07 Sep 2020 16:19:35 GMT"",
<http://web.archive.org/web/20200907161943/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 07 Sep 2020 16:19:43 GMT"",
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<http://web.archive.org/web/20200908215816/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 08 Sep 2020 21:58:16 GMT"",
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<http://web.archive.org/web/20200909135749/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Wed, 09 Sep 2020 13:57:49 GMT"",
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<http://web.archive.org/web/20200914174904/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 14 Sep 2020 17:49:04 GMT"",
<http://web.archive.org/web/20200914212534/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 14 Sep 2020 21:25:34 GMT"",
<http://web.archive.org/web/20200914212541/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 14 Sep 2020 21:25:41 GMT"",
<http://web.archive.org/web/20200914213121/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 14 Sep 2020 21:31:21 GMT"",
<http://web.archive.org/web/20200914213128/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 14 Sep 2020 21:31:28 GMT"",
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<http://web.archive.org/web/20200914222922/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 14 Sep 2020 22:29:22 GMT"",
<http://web.archive.org/web/20200914234245/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 14 Sep 2020 23:42:45 GMT"",
<http://web.archive.org/web/20200914234252/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 14 Sep 2020 23:42:52 GMT"",
<http://web.archive.org/web/20200915035656/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 15 Sep 2020 03:56:56 GMT"",
<http://web.archive.org/web/20200915035705/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 15 Sep 2020 03:57:05 GMT"",
<http://web.archive.org/web/20200915183003/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 15 Sep 2020 18:30:03 GMT"",
<http://web.archive.org/web/20200915183015/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 15 Sep 2020 18:30:15 GMT"",
<http://web.archive.org/web/20200919164242/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 19 Sep 2020 16:42:42 GMT"",
<http://web.archive.org/web/20200921134116/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 21 Sep 2020 13:41:16 GMT"",
<http://web.archive.org/web/20200921134123/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 21 Sep 2020 13:41:23 GMT"",
<http://web.archive.org/web/20200921155110/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 21 Sep 2020 15:51:10 GMT"",
<http://web.archive.org/web/20200921155118/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 21 Sep 2020 15:51:18 GMT"",
<http://web.archive.org/web/20200921200315/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 21 Sep 2020 20:03:15 GMT"",
<http://web.archive.org/web/20200921200323/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 21 Sep 2020 20:03:23 GMT"",
<http://web.archive.org/web/20200922003854/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 22 Sep 2020 00:38:54 GMT"",
<http://web.archive.org/web/20200922003903/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 22 Sep 2020 00:39:03 GMT"",
<http://web.archive.org/web/20200924025922/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 24 Sep 2020 02:59:22 GMT"",
<http://web.archive.org/web/20200925222944/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 25 Sep 2020 22:29:44 GMT"",
<http://web.archive.org/web/20200928164737/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 28 Sep 2020 16:47:37 GMT"",
<http://web.archive.org/web/20200929020453/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 29 Sep 2020 02:04:53 GMT"",
<http://web.archive.org/web/20200929020500/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 29 Sep 2020 02:05:00 GMT"",
<http://web.archive.org/web/20200929020514/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 29 Sep 2020 02:05:14 GMT"",
<http://web.archive.org/web/20200929020521/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 29 Sep 2020 02:05:21 GMT"",
<http://web.archive.org/web/20200929051335/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 29 Sep 2020 05:13:35 GMT"",
<http://web.archive.org/web/20200929051342/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 29 Sep 2020 05:13:42 GMT"",
<http://web.archive.org/web/20201002010504/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 02 Oct 2020 01:05:04 GMT"",
<http://web.archive.org/web/20201002225956/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 02 Oct 2020 22:59:56 GMT"",
<http://web.archive.org/web/20201010025729/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 10 Oct 2020 02:57:29 GMT"",
<http://web.archive.org/web/20201017004501/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 17 Oct 2020 00:45:01 GMT"",
<http://web.archive.org/web/20201019200653/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 19 Oct 2020 20:06:53 GMT"",
<http://web.archive.org/web/20201019231418/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 19 Oct 2020 23:14:18 GMT"",
<http://web.archive.org/web/20201021013602/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Wed, 21 Oct 2020 01:36:02 GMT"",
<http://web.archive.org/web/20201021221245/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Wed, 21 Oct 2020 22:12:45 GMT"",
<http://web.archive.org/web/20201024034910/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 24 Oct 2020 03:49:10 GMT"",
<http://web.archive.org/web/20201030232658/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 30 Oct 2020 23:26:58 GMT"",
<http://web.archive.org/web/20201101081345/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sun, 01 Nov 2020 08:13:45 GMT"",
<http://web.archive.org/web/20201105092818/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 05 Nov 2020 09:28:18 GMT"",
<http://web.archive.org/web/20201105151643/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 05 Nov 2020 15:16:43 GMT"",
<http://web.archive.org/web/20201106144422/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 06 Nov 2020 14:44:22 GMT"",
<http://web.archive.org/web/20201107043814/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 07 Nov 2020 04:38:14 GMT"",
<http://web.archive.org/web/20201110165548/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 10 Nov 2020 16:55:48 GMT"",
<http://web.archive.org/web/20201111045154/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Wed, 11 Nov 2020 04:51:54 GMT"",
<http://web.archive.org/web/20201112064613/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 12 Nov 2020 06:46:13 GMT"",
<http://web.archive.org/web/20201113083300/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 13 Nov 2020 08:33:00 GMT"",
<http://web.archive.org/web/20201114175837/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 14 Nov 2020 17:58:37 GMT"",
<http://web.archive.org/web/20201119145824/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 19 Nov 2020 14:58:24 GMT"",
<http://web.archive.org/web/20201121091156/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 21 Nov 2020 09:11:56 GMT"",
<http://web.archive.org/web/20201121171754/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 21 Nov 2020 17:17:54 GMT"",
<http://web.archive.org/web/20201122011110/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sun, 22 Nov 2020 01:11:10 GMT"",
<http://web.archive.org/web/20201126034908/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 26 Nov 2020 03:49:08 GMT"",
<http://web.archive.org/web/20201128000130/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 28 Nov 2020 00:01:30 GMT"",
<http://web.archive.org/web/20201128002052/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 28 Nov 2020 00:20:52 GMT"",
<http://web.archive.org/web/20201202170454/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Wed, 02 Dec 2020 17:04:54 GMT"",
<http://web.archive.org/web/20201203152649/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 03 Dec 2020 15:26:49 GMT"",
<http://web.archive.org/web/20201205011404/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 05 Dec 2020 01:14:04 GMT"",
<http://web.archive.org/web/20201210110923/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 10 Dec 2020 11:09:23 GMT"",
<http://web.archive.org/web/20201212052737/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 12 Dec 2020 05:27:37 GMT"",
<http://web.archive.org/web/20201217085913/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 17 Dec 2020 08:59:13 GMT"",
<http://web.archive.org/web/20201218090600/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 18 Dec 2020 09:06:00 GMT"",
<http://web.archive.org/web/20201219072907/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 19 Dec 2020 07:29:07 GMT"",
<http://web.archive.org/web/20201219100022/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 19 Dec 2020 10:00:22 GMT"",
<http://web.archive.org/web/20201219141438/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 19 Dec 2020 14:14:38 GMT"",
<http://web.archive.org/web/20201222230953/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 22 Dec 2020 23:09:53 GMT"",
<http://web.archive.org/web/20201223225039/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Wed, 23 Dec 2020 22:50:39 GMT"",
<http://web.archive.org/web/20201226033036/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 26 Dec 2020 03:30:36 GMT"",
<http://web.archive.org/web/20201228205449/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 28 Dec 2020 20:54:49 GMT"",
<http://web.archive.org/web/20201230130818/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Wed, 30 Dec 2020 13:08:18 GMT"",
<http://web.archive.org/web/20201230130818/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Wed, 30 Dec 2020 13:08:18 GMT"",
<http://web.archive.org/web/20201230214356/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Wed, 30 Dec 2020 21:43:56 GMT"",
<http://web.archive.org/web/20201231072755/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 31 Dec 2020 07:27:55 GMT"",
<http://web.archive.org/web/20210102081321/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 02 Jan 2021 08:13:21 GMT"",
<http://web.archive.org/web/20210106203003/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Wed, 06 Jan 2021 20:30:03 GMT"",
<http://web.archive.org/web/20210109015852/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 09 Jan 2021 01:58:52 GMT"",
<http://web.archive.org/web/20210116021740/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 16 Jan 2021 02:17:40 GMT"",
<http://web.archive.org/web/20210116025419/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 16 Jan 2021 02:54:19 GMT"",
<http://web.archive.org/web/20210119215826/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 19 Jan 2021 21:58:26 GMT"",
<http://web.archive.org/web/20210121010148/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 21 Jan 2021 01:01:48 GMT"",
<http://web.archive.org/web/20210121231128/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 21 Jan 2021 23:11:28 GMT"",
<http://web.archive.org/web/20210122011605/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 22 Jan 2021 01:16:05 GMT"",
<http://web.archive.org/web/20210122184225/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 22 Jan 2021 18:42:25 GMT"",
<http://web.archive.org/web/20210123050506/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 23 Jan 2021 05:05:06 GMT"",
<http://web.archive.org/web/20210123191608/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 23 Jan 2021 19:16:08 GMT"",
<http://web.archive.org/web/20210124031646/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sun, 24 Jan 2021 03:16:46 GMT"",
<http://web.archive.org/web/20210124172920/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sun, 24 Jan 2021 17:29:20 GMT"",
<http://web.archive.org/web/20210125191934/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 25 Jan 2021 19:19:34 GMT"",
<http://web.archive.org/web/20210126194522/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 26 Jan 2021 19:45:22 GMT"",
<http://web.archive.org/web/20210127123244/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Wed, 27 Jan 2021 12:32:44 GMT"",
<http://web.archive.org/web/20210127222650/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Wed, 27 Jan 2021 22:26:50 GMT"",
<http://web.archive.org/web/20210128153252/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 28 Jan 2021 15:32:52 GMT"",
<http://web.archive.org/web/20210129153853/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 29 Jan 2021 15:38:53 GMT"",
<http://web.archive.org/web/20210130020405/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 30 Jan 2021 02:04:05 GMT"",
<http://web.archive.org/web/20210130173106/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 30 Jan 2021 17:31:06 GMT"",
<http://web.archive.org/web/20210131151805/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sun, 31 Jan 2021 15:18:05 GMT"",
<http://web.archive.org/web/20210201163904/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 01 Feb 2021 16:39:04 GMT"",
<http://web.archive.org/web/20210202200218/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 02 Feb 2021 20:02:18 GMT"",
<http://web.archive.org/web/20210203182202/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Wed, 03 Feb 2021 18:22:02 GMT"",
<http://web.archive.org/web/20210204072248/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 04 Feb 2021 07:22:48 GMT"",
<http://web.archive.org/web/20210204133212/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 04 Feb 2021 13:32:12 GMT"",
<http://web.archive.org/web/20210204133220/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 04 Feb 2021 13:32:20 GMT"",
<http://web.archive.org/web/20210204164431/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 04 Feb 2021 16:44:31 GMT"",
<http://web.archive.org/web/20210206032832/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 06 Feb 2021 03:28:32 GMT"",
<http://web.archive.org/web/20210206041741/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 06 Feb 2021 04:17:41 GMT"",
<http://web.archive.org/web/20210206162534/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 06 Feb 2021 16:25:34 GMT"",
<http://web.archive.org/web/20210207152457/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sun, 07 Feb 2021 15:24:57 GMT"",
<http://web.archive.org/web/20210208150111/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 08 Feb 2021 15:01:11 GMT"",
<http://web.archive.org/web/20210209143154/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 09 Feb 2021 14:31:54 GMT"",
<http://web.archive.org/web/20210210051656/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Wed, 10 Feb 2021 05:16:56 GMT"",
<http://web.archive.org/web/20210210152635/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Wed, 10 Feb 2021 15:26:35 GMT"",
<http://web.archive.org/web/20210210164243/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Wed, 10 Feb 2021 16:42:43 GMT"",
<http://web.archive.org/web/20210211132650/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 11 Feb 2021 13:26:50 GMT"",
<http://web.archive.org/web/20210213063214/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 13 Feb 2021 06:32:14 GMT"",
<http://web.archive.org/web/20210216110832/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 16 Feb 2021 11:08:32 GMT"",
<http://web.archive.org/web/20210217062215/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Wed, 17 Feb 2021 06:22:15 GMT"",
<http://web.archive.org/web/20210218184309/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 18 Feb 2021 18:43:09 GMT"",
<http://web.archive.org/web/20210219153922/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 19 Feb 2021 15:39:22 GMT"",
<http://web.archive.org/web/20210220051514/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 20 Feb 2021 05:15:14 GMT"",
<http://web.archive.org/web/20210222041637/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 22 Feb 2021 04:16:37 GMT"",
<http://web.archive.org/web/20210225104848/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 25 Feb 2021 10:48:48 GMT"",
<http://web.archive.org/web/20210225160301/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 25 Feb 2021 16:03:01 GMT"",
<http://web.archive.org/web/20210227032223/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 27 Feb 2021 03:22:23 GMT"",
<http://web.archive.org/web/20210301143437/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 01 Mar 2021 14:34:37 GMT"",
<http://web.archive.org/web/20210301143437/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 01 Mar 2021 14:34:37 GMT"",
<http://web.archive.org/web/20210304035054/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 04 Mar 2021 03:50:54 GMT"",
<http://web.archive.org/web/20210304035059/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 04 Mar 2021 03:50:59 GMT"",
<http://web.archive.org/web/20210304092910/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 04 Mar 2021 09:29:10 GMT"",
<http://web.archive.org/web/20210305022049/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 05 Mar 2021 02:20:49 GMT"",
<http://web.archive.org/web/20210306095042/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 06 Mar 2021 09:50:42 GMT"",
<http://web.archive.org/web/20210308001140/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 08 Mar 2021 00:11:40 GMT"",
<http://web.archive.org/web/20210311122321/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 11 Mar 2021 12:23:21 GMT"",
<http://web.archive.org/web/20210313050948/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 13 Mar 2021 05:09:48 GMT"",
<http://web.archive.org/web/20210318000938/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 18 Mar 2021 00:09:38 GMT"",
<http://web.archive.org/web/20210318184654/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 18 Mar 2021 18:46:54 GMT"",
<http://web.archive.org/web/20210320132716/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 20 Mar 2021 13:27:16 GMT"",
<http://web.archive.org/web/20210325080115/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 25 Mar 2021 08:01:15 GMT"",
<http://web.archive.org/web/20210327100442/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 27 Mar 2021 10:04:42 GMT"",
<http://web.archive.org/web/20210327144246/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 27 Mar 2021 14:42:46 GMT"",
<http://web.archive.org/web/20210330001117/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 30 Mar 2021 00:11:17 GMT"",
<http://web.archive.org/web/20210330135521/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 30 Mar 2021 13:55:21 GMT"",
<http://web.archive.org/web/20210331135404/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Wed, 31 Mar 2021 13:54:04 GMT"",
<http://web.archive.org/web/20210401153124/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 01 Apr 2021 15:31:24 GMT"",
<http://web.archive.org/web/20210401194739/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 01 Apr 2021 19:47:39 GMT"",
<http://web.archive.org/web/20210402073417/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 02 Apr 2021 07:34:17 GMT"",
<http://web.archive.org/web/20210402235928/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 02 Apr 2021 23:59:28 GMT"",
<http://web.archive.org/web/20210403002545/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 03 Apr 2021 00:25:45 GMT"",
<http://web.archive.org/web/20210403101311/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 03 Apr 2021 10:13:11 GMT"",
<http://web.archive.org/web/20210406000145/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 06 Apr 2021 00:01:45 GMT"",
<http://web.archive.org/web/20210406010543/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 06 Apr 2021 01:05:43 GMT"",
<http://web.archive.org/web/20210406213244/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 06 Apr 2021 21:32:44 GMT"",
<http://web.archive.org/web/20210408120932/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 08 Apr 2021 12:09:32 GMT"",
<http://web.archive.org/web/20210410082523/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 10 Apr 2021 08:25:23 GMT"",
<http://web.archive.org/web/20210412041256/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 12 Apr 2021 04:12:56 GMT"",
<http://web.archive.org/web/20210415122335/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 15 Apr 2021 12:23:35 GMT"",
<http://web.archive.org/web/20210415124232/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 15 Apr 2021 12:42:32 GMT"",
<http://web.archive.org/web/20210417024933/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 17 Apr 2021 02:49:33 GMT"",
<http://web.archive.org/web/20210419151715/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 19 Apr 2021 15:17:15 GMT"",
<http://web.archive.org/web/20210421011228/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Wed, 21 Apr 2021 01:12:28 GMT"",
<http://web.archive.org/web/20210422213219/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 22 Apr 2021 21:32:19 GMT"",
<http://web.archive.org/web/20210424092524/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 24 Apr 2021 09:25:24 GMT"",
<http://web.archive.org/web/20210429130715/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 29 Apr 2021 13:07:15 GMT"",
<http://web.archive.org/web/20210430211042/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 30 Apr 2021 21:10:42 GMT"",
<http://web.archive.org/web/20210430211042/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 30 Apr 2021 21:10:42 GMT"",
<http://web.archive.org/web/20210501013004/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 01 May 2021 01:30:04 GMT"",
<http://web.archive.org/web/20210504094405/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 04 May 2021 09:44:05 GMT"",
<http://web.archive.org/web/20210504094407/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 04 May 2021 09:44:07 GMT"",
<http://web.archive.org/web/20210506132503/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 06 May 2021 13:25:03 GMT"",
<http://web.archive.org/web/20210507130758/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 07 May 2021 13:07:58 GMT"",
<http://web.archive.org/web/20210507130800/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 07 May 2021 13:08:00 GMT"",
<http://web.archive.org/web/20210507145244/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 07 May 2021 14:52:44 GMT"",
<http://web.archive.org/web/20210508134227/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 08 May 2021 13:42:27 GMT"",
<http://web.archive.org/web/20210511020706/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 11 May 2021 02:07:06 GMT"",
<http://web.archive.org/web/20210512052912/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Wed, 12 May 2021 05:29:12 GMT"",
<http://web.archive.org/web/20210513154749/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 13 May 2021 15:47:49 GMT"",
<http://web.archive.org/web/20210513192646/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 13 May 2021 19:26:46 GMT"",
<http://web.archive.org/web/20210513194542/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 13 May 2021 19:45:42 GMT"",
<http://web.archive.org/web/20210514225146/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 14 May 2021 22:51:46 GMT"",
<http://web.archive.org/web/20210521214805/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 21 May 2021 21:48:05 GMT"",
<http://web.archive.org/web/20210525133204/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 25 May 2021 13:32:04 GMT"",
<http://web.archive.org/web/20210527102653/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 27 May 2021 10:26:53 GMT"",
<http://web.archive.org/web/20210528194452/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 28 May 2021 19:44:52 GMT"",
<http://web.archive.org/web/20210528215155/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 28 May 2021 21:51:55 GMT"",
<http://web.archive.org/web/20210603101706/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 03 Jun 2021 10:17:06 GMT"",
<http://web.archive.org/web/20210603185213/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 03 Jun 2021 18:52:13 GMT"",
<http://web.archive.org/web/20210604095026/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 04 Jun 2021 09:50:26 GMT"",
<http://web.archive.org/web/20210604095028/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 04 Jun 2021 09:50:28 GMT"",
<http://web.archive.org/web/20210604211800/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 04 Jun 2021 21:18:00 GMT"",
<http://web.archive.org/web/20210610050337/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 10 Jun 2021 05:03:37 GMT"",
<http://web.archive.org/web/20210610063402/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 10 Jun 2021 06:34:02 GMT"",
<http://web.archive.org/web/20210611221809/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 11 Jun 2021 22:18:09 GMT"",
<http://web.archive.org/web/20210616174702/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Wed, 16 Jun 2021 17:47:02 GMT"",
<http://web.archive.org/web/20210617042851/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 17 Jun 2021 04:28:51 GMT"",
<http://web.archive.org/web/20210617154545/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 17 Jun 2021 15:45:45 GMT"",
<http://web.archive.org/web/20210618213550/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 18 Jun 2021 21:35:50 GMT"",
<http://web.archive.org/web/20210619141803/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 19 Jun 2021 14:18:03 GMT"",
<http://web.archive.org/web/20210623162046/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Wed, 23 Jun 2021 16:20:46 GMT"",
<http://web.archive.org/web/20210623181532/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Wed, 23 Jun 2021 18:15:32 GMT"",
<http://web.archive.org/web/20210623225201/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Wed, 23 Jun 2021 22:52:01 GMT"",
<http://web.archive.org/web/20210624055440/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 24 Jun 2021 05:54:40 GMT"",
<http://web.archive.org/web/20210625211829/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 25 Jun 2021 21:18:29 GMT"",
<http://web.archive.org/web/20210627181732/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sun, 27 Jun 2021 18:17:32 GMT"",
<http://web.archive.org/web/20210629225726/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 29 Jun 2021 22:57:26 GMT"",
<http://web.archive.org/web/20210629225726/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 29 Jun 2021 22:57:26 GMT"",
<http://web.archive.org/web/20210701030916/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 01 Jul 2021 03:09:16 GMT"",
<http://web.archive.org/web/20210701035930/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 01 Jul 2021 03:59:30 GMT"",
<http://web.archive.org/web/20210703001121/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 03 Jul 2021 00:11:21 GMT"",
<http://web.archive.org/web/20210708052749/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 08 Jul 2021 05:27:49 GMT"",
<http://web.archive.org/web/20210709222531/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 09 Jul 2021 22:25:31 GMT"",
<http://web.archive.org/web/20210714184509/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Wed, 14 Jul 2021 18:45:09 GMT"",
<http://web.archive.org/web/20210715052910/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 15 Jul 2021 05:29:10 GMT"",
<http://web.archive.org/web/20210716230736/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 16 Jul 2021 23:07:36 GMT"",
<http://web.archive.org/web/20210719124545/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 19 Jul 2021 12:45:45 GMT"",
<http://web.archive.org/web/20210719124547/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 19 Jul 2021 12:45:47 GMT"",
<http://web.archive.org/web/20210719172306/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 19 Jul 2021 17:23:06 GMT"",
<http://web.archive.org/web/20210722044936/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 22 Jul 2021 04:49:36 GMT"",
<http://web.archive.org/web/20210723053758/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 23 Jul 2021 05:37:58 GMT"",
<http://web.archive.org/web/20210723211512/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 23 Jul 2021 21:15:12 GMT"",
<http://web.archive.org/web/20210725134652/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sun, 25 Jul 2021 13:46:52 GMT"",
<http://web.archive.org/web/20210728223645/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Wed, 28 Jul 2021 22:36:45 GMT"",
<http://web.archive.org/web/20210729042238/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 29 Jul 2021 04:22:38 GMT"",
<http://web.archive.org/web/20210729163238/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 29 Jul 2021 16:32:38 GMT"",
<http://web.archive.org/web/20210730213833/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 30 Jul 2021 21:38:33 GMT"",
<http://web.archive.org/web/20210802095702/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 02 Aug 2021 09:57:02 GMT"",
<http://web.archive.org/web/20210802100618/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 02 Aug 2021 10:06:18 GMT"",
<http://web.archive.org/web/20210803213617/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 03 Aug 2021 21:36:17 GMT"",
<http://web.archive.org/web/20210805105721/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 05 Aug 2021 10:57:21 GMT"",
<http://web.archive.org/web/20210805125630/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 05 Aug 2021 12:56:30 GMT"",
<http://web.archive.org/web/20210806213252/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 06 Aug 2021 21:32:52 GMT"",
<http://web.archive.org/web/20210811192456/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Wed, 11 Aug 2021 19:24:56 GMT"",
<http://web.archive.org/web/20210812043235/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 12 Aug 2021 04:32:35 GMT"",
<http://web.archive.org/web/20210812124900/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 12 Aug 2021 12:49:00 GMT"",
<http://web.archive.org/web/20210813214404/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 13 Aug 2021 21:44:04 GMT"",
<http://web.archive.org/web/20210814095809/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 14 Aug 2021 09:58:09 GMT"",
<http://web.archive.org/web/20210819075450/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 19 Aug 2021 07:54:50 GMT"",
<http://web.archive.org/web/20210819082132/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 19 Aug 2021 08:21:32 GMT"",
<http://web.archive.org/web/20210820025606/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 20 Aug 2021 02:56:06 GMT"",
<http://web.archive.org/web/20210821043635/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 21 Aug 2021 04:36:35 GMT"",
<http://web.archive.org/web/20210825025110/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Wed, 25 Aug 2021 02:51:10 GMT"",
<http://web.archive.org/web/20210825184126/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Wed, 25 Aug 2021 18:41:26 GMT"",
<http://web.archive.org/web/20210826045141/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 26 Aug 2021 04:51:41 GMT"",
<http://web.archive.org/web/20210826054312/https://data.cdc.gov/case-surveillance/covid-19-case-surveillance-public-use-data/vbim-akqf>; rel=""memento""; datetime=""Thu, 26 Aug 2021 05:43:12 GMT"",
<http://web.archive.org/web/20210826054313/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 26 Aug 2021 05:43:13 GMT"",
<http://web.archive.org/web/20210826120634/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 26 Aug 2021 12:06:34 GMT"",
<http://web.archive.org/web/20210826171208/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 26 Aug 2021 17:12:08 GMT"",
<http://web.archive.org/web/20210902123850/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 02 Sep 2021 12:38:50 GMT"",
<http://web.archive.org/web/20210902144746/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 02 Sep 2021 14:47:46 GMT"",
<http://web.archive.org/web/20210903160435/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 03 Sep 2021 16:04:35 GMT"",
<http://web.archive.org/web/20210904164842/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 04 Sep 2021 16:48:42 GMT"",
<http://web.archive.org/web/20210904164844/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 04 Sep 2021 16:48:44 GMT"",
<http://web.archive.org/web/20210908051350/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Wed, 08 Sep 2021 05:13:50 GMT"",
<http://web.archive.org/web/20210909075550/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 09 Sep 2021 07:55:50 GMT"",
<http://web.archive.org/web/20210909101225/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 09 Sep 2021 10:12:25 GMT"",
<http://web.archive.org/web/20210910020515/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 10 Sep 2021 02:05:15 GMT"",
<http://web.archive.org/web/20210911115151/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 11 Sep 2021 11:51:51 GMT"",
<http://web.archive.org/web/20210916070929/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 16 Sep 2021 07:09:29 GMT"",
<http://web.archive.org/web/20210916075906/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 16 Sep 2021 07:59:06 GMT"",
<http://web.archive.org/web/20210921060908/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 21 Sep 2021 06:09:08 GMT"",
<http://web.archive.org/web/20210921064933/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 21 Sep 2021 06:49:33 GMT"",
<http://web.archive.org/web/20210923094905/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 23 Sep 2021 09:49:05 GMT"",
<http://web.archive.org/web/20210923153910/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 23 Sep 2021 15:39:10 GMT"",
<http://web.archive.org/web/20210930064322/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 30 Sep 2021 06:43:22 GMT"",
<http://web.archive.org/web/20210930102735/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 30 Sep 2021 10:27:35 GMT"",
<http://web.archive.org/web/20211004144539/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 04 Oct 2021 14:45:39 GMT"",
<http://web.archive.org/web/20211004144541/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 04 Oct 2021 14:45:41 GMT"",
<http://web.archive.org/web/20211006100227/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Wed, 06 Oct 2021 10:02:27 GMT"",
<http://web.archive.org/web/20211007055548/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 07 Oct 2021 05:55:48 GMT"",
<http://web.archive.org/web/20211007103854/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 07 Oct 2021 10:38:54 GMT"",
<http://web.archive.org/web/20211014054017/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 14 Oct 2021 05:40:17 GMT"",
<http://web.archive.org/web/20211014122547/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 14 Oct 2021 12:25:47 GMT"",
<http://web.archive.org/web/20211015232346/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 15 Oct 2021 23:23:46 GMT"",
<http://web.archive.org/web/20211019193731/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 19 Oct 2021 19:37:31 GMT"",
<http://web.archive.org/web/20211021094014/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 21 Oct 2021 09:40:14 GMT"",
<http://web.archive.org/web/20211022095703/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 22 Oct 2021 09:57:03 GMT"",
<http://web.archive.org/web/20211023001308/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 23 Oct 2021 00:13:08 GMT"",
<http://web.archive.org/web/20211023023240/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 23 Oct 2021 02:32:40 GMT"",
<http://web.archive.org/web/20211023104227/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 23 Oct 2021 10:42:27 GMT"",
<http://web.archive.org/web/20211028061424/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 28 Oct 2021 06:14:24 GMT"",
<http://web.archive.org/web/20211029174640/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 29 Oct 2021 17:46:40 GMT"",
<http://web.archive.org/web/20211030070609/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 30 Oct 2021 07:06:09 GMT"",
<http://web.archive.org/web/20211103044628/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Wed, 03 Nov 2021 04:46:28 GMT"",
<http://web.archive.org/web/20211104102121/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 04 Nov 2021 10:21:21 GMT"",
<http://web.archive.org/web/20211104134245/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 04 Nov 2021 13:42:45 GMT"",
<http://web.archive.org/web/20211106052759/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 06 Nov 2021 05:27:59 GMT"",
<http://web.archive.org/web/20211106135622/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 06 Nov 2021 13:56:22 GMT"",
<http://web.archive.org/web/20211111024756/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 11 Nov 2021 02:47:56 GMT"",
<http://web.archive.org/web/20211111042825/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 11 Nov 2021 04:28:25 GMT"",
<http://web.archive.org/web/20211111132552/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 11 Nov 2021 13:25:52 GMT"",
<http://web.archive.org/web/20211113104003/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 13 Nov 2021 10:40:03 GMT"",
<http://web.archive.org/web/20211118054623/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 18 Nov 2021 05:46:23 GMT"",
<http://web.archive.org/web/20211118082112/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 18 Nov 2021 08:21:12 GMT"",
<http://web.archive.org/web/20211119172839/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 19 Nov 2021 17:28:39 GMT"",
<http://web.archive.org/web/20211120121018/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 20 Nov 2021 12:10:18 GMT"",
<http://web.archive.org/web/20211125050123/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 25 Nov 2021 05:01:23 GMT"",
<http://web.archive.org/web/20211126031337/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 26 Nov 2021 03:13:37 GMT"",
<http://web.archive.org/web/20211127180824/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 27 Nov 2021 18:08:24 GMT"",
<http://web.archive.org/web/20211202130156/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 02 Dec 2021 13:01:56 GMT"",
<http://web.archive.org/web/20211204202835/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 04 Dec 2021 20:28:35 GMT"",
<http://web.archive.org/web/20211208230131/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Wed, 08 Dec 2021 23:01:31 GMT"",
<http://web.archive.org/web/20211209142855/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 09 Dec 2021 14:28:55 GMT"",
<http://web.archive.org/web/20211211040321/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 11 Dec 2021 04:03:21 GMT"",
<http://web.archive.org/web/20211216065749/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 16 Dec 2021 06:57:49 GMT"",
<http://web.archive.org/web/20211220055158/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 20 Dec 2021 05:51:58 GMT"",
<http://web.archive.org/web/20211223052459/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 23 Dec 2021 05:24:59 GMT"",
<http://web.archive.org/web/20211223122340/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 23 Dec 2021 12:23:40 GMT"",
<http://web.archive.org/web/20211223183054/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 23 Dec 2021 18:30:54 GMT"",
<http://web.archive.org/web/20211224012229/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 24 Dec 2021 01:22:29 GMT"",
<http://web.archive.org/web/20211224210329/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 24 Dec 2021 21:03:29 GMT"",
<http://web.archive.org/web/20211225025906/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 25 Dec 2021 02:59:06 GMT"",
<http://web.archive.org/web/20211225060222/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 25 Dec 2021 06:02:22 GMT"",
<http://web.archive.org/web/20211226095939/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sun, 26 Dec 2021 09:59:39 GMT"",
<http://web.archive.org/web/20211226221332/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sun, 26 Dec 2021 22:13:32 GMT"",
<http://web.archive.org/web/20211227045128/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 27 Dec 2021 04:51:28 GMT"",
<http://web.archive.org/web/20211227160244/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 27 Dec 2021 16:02:44 GMT"",
<http://web.archive.org/web/20211227225748/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 27 Dec 2021 22:57:48 GMT"",
<http://web.archive.org/web/20211228041444/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 28 Dec 2021 04:14:44 GMT"",
<http://web.archive.org/web/20211228124432/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 28 Dec 2021 12:44:32 GMT"",
<http://web.archive.org/web/20211228211111/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 28 Dec 2021 21:11:11 GMT"",
<http://web.archive.org/web/20211228212210/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 28 Dec 2021 21:22:10 GMT"",
<http://web.archive.org/web/20211230145402/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 30 Dec 2021 14:54:02 GMT"",
<http://web.archive.org/web/20211231022216/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 31 Dec 2021 02:22:16 GMT"",
<http://web.archive.org/web/20220101065549/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 01 Jan 2022 06:55:49 GMT"",
<http://web.archive.org/web/20220106065802/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 06 Jan 2022 06:58:02 GMT"",
<http://web.archive.org/web/20220113062134/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 13 Jan 2022 06:21:34 GMT"",
<http://web.archive.org/web/20220115134042/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 15 Jan 2022 13:40:42 GMT"",
<http://web.archive.org/web/20220120035413/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 20 Jan 2022 03:54:13 GMT"",
<http://web.archive.org/web/20220120082317/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 20 Jan 2022 08:23:17 GMT"",
<http://web.archive.org/web/20220122071849/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 22 Jan 2022 07:18:49 GMT"",
<http://web.archive.org/web/20220127053810/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 27 Jan 2022 05:38:10 GMT"",
<http://web.archive.org/web/20220129074934/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 29 Jan 2022 07:49:34 GMT"",
<http://web.archive.org/web/20220203082619/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 03 Feb 2022 08:26:19 GMT"",
<http://web.archive.org/web/20220204233821/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 04 Feb 2022 23:38:21 GMT"",
<http://web.archive.org/web/20220205172951/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 05 Feb 2022 17:29:51 GMT"",
<http://web.archive.org/web/20220212091430/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 12 Feb 2022 09:14:30 GMT"",
<http://web.archive.org/web/20220212150351/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 12 Feb 2022 15:03:51 GMT"",
<http://web.archive.org/web/20220217023358/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 17 Feb 2022 02:33:58 GMT"",
<http://web.archive.org/web/20220217075944/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 17 Feb 2022 07:59:44 GMT"",
<http://web.archive.org/web/20220219035453/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 19 Feb 2022 03:54:53 GMT"",
<http://web.archive.org/web/20220219171243/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 19 Feb 2022 17:12:43 GMT"",
<http://web.archive.org/web/20220224121229/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 24 Feb 2022 12:12:29 GMT"",
<http://web.archive.org/web/20220226173341/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 26 Feb 2022 17:33:41 GMT"",
<http://web.archive.org/web/20220303124853/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 03 Mar 2022 12:48:53 GMT"",
<http://web.archive.org/web/20220308160200/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 08 Mar 2022 16:02:00 GMT"",
<http://web.archive.org/web/20220310010245/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 10 Mar 2022 01:02:45 GMT"",
<http://web.archive.org/web/20220312001645/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 12 Mar 2022 00:16:45 GMT"",
<http://web.archive.org/web/20220320005639/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sun, 20 Mar 2022 00:56:39 GMT"",
<http://web.archive.org/web/20220322234626/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 22 Mar 2022 23:46:26 GMT"",
<http://web.archive.org/web/20220323155510/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Wed, 23 Mar 2022 15:55:10 GMT"",
<http://web.archive.org/web/20220326171202/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 26 Mar 2022 17:12:02 GMT"",
<http://web.archive.org/web/20220401162736/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 01 Apr 2022 16:27:36 GMT"",
<http://web.archive.org/web/20220402112444/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 02 Apr 2022 11:24:44 GMT"",
<http://web.archive.org/web/20220403072400/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sun, 03 Apr 2022 07:24:00 GMT"",
<http://web.archive.org/web/20220403072410/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sun, 03 Apr 2022 07:24:10 GMT"",
<http://web.archive.org/web/20220406024317/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Wed, 06 Apr 2022 02:43:17 GMT"",
<http://web.archive.org/web/20220409075309/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 09 Apr 2022 07:53:09 GMT"",
<http://web.archive.org/web/20220416040546/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 16 Apr 2022 04:05:46 GMT"",
<http://web.archive.org/web/20220420001422/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Wed, 20 Apr 2022 00:14:22 GMT"",
<http://web.archive.org/web/20220430083232/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 30 Apr 2022 08:32:32 GMT"",
<http://web.archive.org/web/20220503113738/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 03 May 2022 11:37:38 GMT"",
<http://web.archive.org/web/20220503113741/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 03 May 2022 11:37:41 GMT"",
<http://web.archive.org/web/20220503205142/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 03 May 2022 20:51:42 GMT"",
<http://web.archive.org/web/20220507134236/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 07 May 2022 13:42:36 GMT"",
<http://web.archive.org/web/20220509221759/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 09 May 2022 22:17:59 GMT"",
<http://web.archive.org/web/20220514162948/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 14 May 2022 16:29:48 GMT"",
<http://web.archive.org/web/20220514201940/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 14 May 2022 20:19:40 GMT"",
<http://web.archive.org/web/20220520043624/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 20 May 2022 04:36:24 GMT"",
<http://web.archive.org/web/20220524013109/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 24 May 2022 01:31:09 GMT"",
<http://web.archive.org/web/20220524225249/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 24 May 2022 22:52:49 GMT"",
<http://web.archive.org/web/20220528122344/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 28 May 2022 12:23:44 GMT"",
<http://web.archive.org/web/20220603142811/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 03 Jun 2022 14:28:11 GMT"",
<http://web.archive.org/web/20220603142814/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 03 Jun 2022 14:28:14 GMT"",
<http://web.archive.org/web/20220604104310/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 04 Jun 2022 10:43:10 GMT"",
<http://web.archive.org/web/20220613183657/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 13 Jun 2022 18:36:57 GMT"",
<http://web.archive.org/web/20220617134414/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 17 Jun 2022 13:44:14 GMT"",
<http://web.archive.org/web/20220617153112/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 17 Jun 2022 15:31:12 GMT"",
<http://web.archive.org/web/20220618083952/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 18 Jun 2022 08:39:52 GMT"",
<http://web.archive.org/web/20220619222858/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sun, 19 Jun 2022 22:28:58 GMT"",
<http://web.archive.org/web/20220623031053/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 23 Jun 2022 03:10:53 GMT"",
<http://web.archive.org/web/20220625205026/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 25 Jun 2022 20:50:26 GMT"",
<http://web.archive.org/web/20220704213036/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 04 Jul 2022 21:30:36 GMT"",
<http://web.archive.org/web/20220704213040/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 04 Jul 2022 21:30:40 GMT"",
<http://web.archive.org/web/20220706042421/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Wed, 06 Jul 2022 04:24:21 GMT"",
<http://web.archive.org/web/20220710081144/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sun, 10 Jul 2022 08:11:44 GMT"",
<http://web.archive.org/web/20220714114752/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 14 Jul 2022 11:47:52 GMT"",
<http://web.archive.org/web/20220720154122/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Wed, 20 Jul 2022 15:41:22 GMT"",
<http://web.archive.org/web/20220723063946/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 23 Jul 2022 06:39:46 GMT"",
<http://web.archive.org/web/20220727230347/http://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Wed, 27 Jul 2022 23:03:47 GMT"",
<http://web.archive.org/web/20220804150637/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 04 Aug 2022 15:06:37 GMT"",
<http://web.archive.org/web/20220804150640/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 04 Aug 2022 15:06:40 GMT"",
<http://web.archive.org/web/20220813065424/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 13 Aug 2022 06:54:24 GMT"",
<http://web.archive.org/web/20220813202531/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 13 Aug 2022 20:25:31 GMT"",
<http://web.archive.org/web/20220816154812/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 16 Aug 2022 15:48:12 GMT"",
<http://web.archive.org/web/20220817104418/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Wed, 17 Aug 2022 10:44:18 GMT"",
<http://web.archive.org/web/20220820032052/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 20 Aug 2022 03:20:52 GMT"",
<http://web.archive.org/web/20220827203137/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 27 Aug 2022 20:31:37 GMT"",
<http://web.archive.org/web/20220910202154/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 10 Sep 2022 20:21:54 GMT"",
<http://web.archive.org/web/20220919212953/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 19 Sep 2022 21:29:53 GMT"",
<http://web.archive.org/web/20220926135515/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 26 Sep 2022 13:55:15 GMT"",
<http://web.archive.org/web/20220928175330/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Wed, 28 Sep 2022 17:53:30 GMT"",
<http://web.archive.org/web/20221006032646/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 06 Oct 2022 03:26:46 GMT"",
<http://web.archive.org/web/20221009084612/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sun, 09 Oct 2022 08:46:12 GMT"",
<http://web.archive.org/web/20221020000541/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 20 Oct 2022 00:05:41 GMT"",
<http://web.archive.org/web/20221020203830/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 20 Oct 2022 20:38:30 GMT"",
<http://web.archive.org/web/20221030070946/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sun, 30 Oct 2022 07:09:46 GMT"",
<http://web.archive.org/web/20221030070957/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sun, 30 Oct 2022 07:09:57 GMT"",
<http://web.archive.org/web/20221030070959/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sun, 30 Oct 2022 07:09:59 GMT"",
<http://web.archive.org/web/20221031125629/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 31 Oct 2022 12:56:29 GMT"",
<http://web.archive.org/web/20221110180535/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 10 Nov 2022 18:05:35 GMT"",
<http://web.archive.org/web/20221117152126/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 17 Nov 2022 15:21:26 GMT"",
<http://web.archive.org/web/20230106033904/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 06 Jan 2023 03:39:04 GMT"",
<http://web.archive.org/web/20230119081236/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 19 Jan 2023 08:12:36 GMT"",
<http://web.archive.org/web/20230120194855/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 20 Jan 2023 19:48:55 GMT"",
<http://web.archive.org/web/20230203120702/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 03 Feb 2023 12:07:02 GMT"",
<http://web.archive.org/web/20230205182343/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sun, 05 Feb 2023 18:23:43 GMT"",
<http://web.archive.org/web/20230216024655/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 16 Feb 2023 02:46:55 GMT"",
<http://web.archive.org/web/20230222034206/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Wed, 22 Feb 2023 03:42:06 GMT"",
<http://web.archive.org/web/20230312121408/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sun, 12 Mar 2023 12:14:08 GMT"",
<http://web.archive.org/web/20230314180354/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 14 Mar 2023 18:03:54 GMT"",
<http://web.archive.org/web/20230404222943/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 04 Apr 2023 22:29:43 GMT"",
<http://web.archive.org/web/20230404222946/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 04 Apr 2023 22:29:46 GMT"",
<http://web.archive.org/web/20230511164343/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 11 May 2023 16:43:43 GMT"",
<http://web.archive.org/web/20230516012631/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 16 May 2023 01:26:31 GMT"",
<http://web.archive.org/web/20230518223357/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 18 May 2023 22:33:57 GMT"",
<http://web.archive.org/web/20230531211020/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Wed, 31 May 2023 21:10:20 GMT"",
<http://web.archive.org/web/20230606003339/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 06 Jun 2023 00:33:39 GMT"",
<http://web.archive.org/web/20230707020547/http://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 07 Jul 2023 02:05:47 GMT"",
<http://web.archive.org/web/20230707020548/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 07 Jul 2023 02:05:48 GMT"",
<http://web.archive.org/web/20230715061739/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 15 Jul 2023 06:17:39 GMT"",
<http://web.archive.org/web/20230721100600/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 21 Jul 2023 10:06:00 GMT"",
<http://web.archive.org/web/20230804201331/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 04 Aug 2023 20:13:31 GMT"",
<http://web.archive.org/web/20230804201334/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 04 Aug 2023 20:13:34 GMT"",
<http://web.archive.org/web/20230810100230/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 10 Aug 2023 10:02:30 GMT"",
<http://web.archive.org/web/20230810220747/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 10 Aug 2023 22:07:47 GMT"",
<http://web.archive.org/web/20230813134511/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sun, 13 Aug 2023 13:45:11 GMT"",
<http://web.archive.org/web/20230813134511/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sun, 13 Aug 2023 13:45:11 GMT"",
<http://web.archive.org/web/20230814012323/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 14 Aug 2023 01:23:23 GMT"",
<http://web.archive.org/web/20230819172621/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 19 Aug 2023 17:26:21 GMT"",
<http://web.archive.org/web/20230929222547/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 29 Sep 2023 22:25:47 GMT"",
<http://web.archive.org/web/20231208234421/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Fri, 08 Dec 2023 23:44:21 GMT"",
<http://web.archive.org/web/20231221154204/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 21 Dec 2023 15:42:04 GMT"",
<http://web.archive.org/web/20231225022508/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 25 Dec 2023 02:25:08 GMT"",
<http://web.archive.org/web/20240521051611/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 21 May 2024 05:16:11 GMT"",
<http://web.archive.org/web/20240706111042/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 06 Jul 2024 11:10:42 GMT"",
<http://web.archive.org/web/20240706151428/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 06 Jul 2024 15:14:28 GMT"",
<http://web.archive.org/web/20240709115609/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 09 Jul 2024 11:56:09 GMT"",
<http://web.archive.org/web/20240713160037/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 13 Jul 2024 16:00:37 GMT"",
<http://web.archive.org/web/20240713195509/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 13 Jul 2024 19:55:09 GMT"",
<http://web.archive.org/web/20240713205740/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 13 Jul 2024 20:57:40 GMT"",
<http://web.archive.org/web/20240713215320/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 13 Jul 2024 21:53:20 GMT"",
<http://web.archive.org/web/20240719092001/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf/>; rel=""memento""; datetime=""Fri, 19 Jul 2024 09:20:01 GMT"",
<http://web.archive.org/web/20240727041902/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 27 Jul 2024 04:19:02 GMT"",
<http://web.archive.org/web/20240907122130/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 07 Sep 2024 12:21:30 GMT"",
<http://web.archive.org/web/20240909145136/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 09 Sep 2024 14:51:36 GMT"",
<http://web.archive.org/web/20240926204923/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 26 Sep 2024 20:49:23 GMT"",
<http://web.archive.org/web/20241114232934/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 14 Nov 2024 23:29:34 GMT"",
<http://web.archive.org/web/20241119035037/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 19 Nov 2024 03:50:37 GMT"",
<http://web.archive.org/web/20241121142358/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 21 Nov 2024 14:23:58 GMT"",
<http://web.archive.org/web/20241121175850/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 21 Nov 2024 17:58:50 GMT"",
<http://web.archive.org/web/20241123182046/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 23 Nov 2024 18:20:46 GMT"",
<http://web.archive.org/web/20241124030953/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sun, 24 Nov 2024 03:09:53 GMT"",
<http://web.archive.org/web/20241125040439/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 25 Nov 2024 04:04:39 GMT"",
<http://web.archive.org/web/20241125061146/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Mon, 25 Nov 2024 06:11:46 GMT"",
<http://web.archive.org/web/20241126023236/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 26 Nov 2024 02:32:36 GMT"",
<http://web.archive.org/web/20241128005039/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 28 Nov 2024 00:50:39 GMT"",
<http://web.archive.org/web/20241128053434/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 28 Nov 2024 05:34:34 GMT"",
<http://web.archive.org/web/20241128155813/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 28 Nov 2024 15:58:13 GMT"",
<http://web.archive.org/web/20241204133022/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Wed, 04 Dec 2024 13:30:22 GMT"",
<http://web.archive.org/web/20241212222624/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 12 Dec 2024 22:26:24 GMT"",
<http://web.archive.org/web/20241222121609/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sun, 22 Dec 2024 12:16:09 GMT"",
<http://web.archive.org/web/20241231115112/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Tue, 31 Dec 2024 11:51:12 GMT"",
<http://web.archive.org/web/20250101204835/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Wed, 01 Jan 2025 20:48:35 GMT"",
<http://web.archive.org/web/20250102060049/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 02 Jan 2025 06:00:49 GMT"",
<http://web.archive.org/web/20250118074045/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Sat, 18 Jan 2025 07:40:45 GMT"",
<http://web.archive.org/web/20250123005247/https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf>; rel=""memento""; datetime=""Thu, 23 Jan 2025 00:52:47 GMT"",
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","{'name': 'COVID-19 Case Surveillance Public Use Data', 'id': 'vbim-akqf', 'description': '<b>Note:</b>\nReporting of new COVID-19 Case Surveillance data will be discontinued July 1, 2024, to align with the process of removing SARS-CoV-2 infections (COVID-19 cases) from the list of nationally notifiable diseases. Although these data will continue to be publicly available, the dataset will no longer be updated.  \n\nAuthorizations to collect certain public health data expired at the end of the U.S. public health emergency declaration on May 11, 2023. The following jurisdictions discontinued COVID-19 case notifications to CDC: Iowa (11/8/21), Kansas (5/12/23), Kentucky (1/1/24), Louisiana (10/31/23), New Hampshire (5/23/23), and Oklahoma (5/2/23). Please note that these jurisdictions will not routinely send new case data after the dates indicated. As of 7/13/23, case notifications from Oregon will only include pediatric cases resulting in death.\n\n\nThis case surveillance public use dataset has 12 elements for all COVID-19 cases shared with CDC and includes demographics, any exposure history, disease severity indicators and outcomes, presence of any underlying medical conditions and risk behaviors, and no geographic data.\n\n<h4><b>CDC has three COVID-19 case surveillance datasets:</b></h4><ul><li><a href=""https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data-with-Ge/n8mc-b4w4"">COVID-19 Case Surveillance Public Use Data with Geography</a>: Public use, patient-level dataset with clinical data (including symptoms), demographics, and county and state of residence. (19 data elements)</li><li><a href=""https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf"">COVID-19 Case Surveillance Public Use Data</a>: Public use, patient-level dataset with clinical and symptom data and demographics, with no geographic data. (12 data elements)</li><li><a href=""https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Restricted-Access-Detai/mbd7-r32t"">COVID-19 Case Surveillance Restricted Access Detailed Data</a>: Restricted access, patient-level dataset with clinical and symptom data, demographics, and state and county of residence. Access requires a registration process and a data use agreement. (33 data elements)</li></ul>\n\nThe following apply to all three datasets:\n<ul><li>Data elements can be found on the COVID-19 case report form located at <a href=""https://www.cdc.gov/coronavirus/2019-ncov/downloads/pui-form.pdf"">www.cdc.gov/coronavirus/2019-ncov/downloads/pui-form.pdf</a>.</li><li>Data are considered provisional by CDC and are subject to change until the data are reconciled and verified with the state and territorial data providers.</li><li>Some data cells are suppressed to protect individual privacy.</li><li>The datasets will include all cases with the earliest date available in each record (date received by CDC or date related to illness/specimen collection) at least 14 days prior to the creation of the current datasets. This 14-day lag allows case reporting to be stabilized and ensures that time-dependent outcome data are accurately captured.</li><li>Datasets are updated monthly.</li><li>Datasets are created using CDC’s <a href=""https://www.cdc.gov/grants/additional-requirements/ar-25.html"">Policy on Public Health Research and Nonresearch Data Management and Access</a> and include protections designed to protect individual privacy.</li><li>For more information about data collection and reporting, please see\u202f<a href=""https://www.cdc.gov/coronavirus/2019-ncov/covid-data/about-us-cases-deaths.html"">https://www.cdc.gov/coronavirus/2019-ncov/covid-data/about-us-cases-deaths.html.</a></li><li>For more information about the COVID-19 case surveillance data, please see <a href=""https://www.cdc.gov/coronavirus/2019-ncov/covid-data/faq-surveillance.html""> https://www.cdc.gov/coronavirus/2019-ncov/covid-data/faq-surveillance.html</a><br></li></ul>\n\n<h4><b>Overview</b></h4>\n\nThe COVID-19 case surveillance database includes individual-level data reported to U.S. states and aut', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf'}"
COVID-19 Case Surveillance Public Use Data with Geography,n8mc-b4w4,n8mc-b4w4_1737085378.228909_COVID_19_Case_Surveillance_Public_Use_Data_with_Ge.csv.gz,2025-01-17 03:42:58 UTC,https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data-with-Ge/n8mc-b4w4,"<b>Note:</b>
Reporting of new COVID-19 Case Surveillance data will be discontinued July 1, 2024, to align with the process of removing SARS-CoV-2 infections (COVID-19 cases) from the list of nationally notifiable diseases. Although these data will continue to be publicly available, the dataset will no longer be updated.

Authorizations to collect certain public health data expired at the end of the U.S. public health emergency declaration on May 11, 2023. The following jurisdictions discontinued COVID-19 case notifications to CDC: Iowa (11/8/21), Kansas (5/12/23), Kentucky (1/1/24), Louisiana (10/31/23), New Hampshire (5/23/23), and Oklahoma (5/2/23). Please note that these jurisdictions will not routinely send new case data after the dates indicated. As of 7/13/23, case notifications from Oregon will only include pediatric cases resulting in death.


This case surveillance public use dataset has 19 elements for all COVID-19 cases shared with CDC and includes demographics, geography (county and state of residence), any exposure history, disease severity indicators and outcomes, and presence of any underlying medical conditions and risk behaviors.

Currently, CDC provides the public with three versions of COVID-19 case surveillance line-listed data: this <a href=""https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data-with-Ge/n8mc-b4w4"">19 data element dataset with geography</a>, a <a href=""https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf"">12 data element public use dataset</a>, and a <a href=""https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Restricted-Access-Detai/mbd7-r32t"">33 data element restricted access dataset</a>.

The following apply to the public use datasets and the restricted access dataset:
<ul><li>Data elements can be found on the COVID-19 case report form located at www.cdc.gov/coronavirus/2019-ncov/downloads/pui-form.pdf.</li><li>Data are considered provisional by CDC and are subject to change until the data are reconciled and verified with the state and territorial data providers.</li><li>Some data are suppressed to protect individual privacy.</li><li>Datasets will include all cases with the earliest date available in each record (date received by CDC or date related to illness/specimen collection) at least 14 days prior to the creation of the current datasets. This 14-day lag allows case reporting to be stabilized and ensure that time-dependent outcome data are accurately captured.</li><li>Datasets are updated monthly.</li><li>Datasets are created using CDC’s <a href=""https://www.cdc.gov/grants/additional-requirements/ar-25.html"">Policy on Public Health Research and Nonresearch Data Management and Access</a> and include protections designed to protect individual privacy.</li><li>For more information about data collection and reporting, please see <a href=""https://www.cdc.gov/coronavirus/2019-ncov/covid-data/about-us-cases-deaths.html"">https://www.cdc.gov/coronavirus/2019-ncov/covid-data/about-us-cases-deaths.html.</a></li><li>For more information about the COVID-19 case surveillance data, please see <a href=""https://www.cdc.gov/coronavirus/2019-ncov/covid-data/faq-surveillance.html""> https://www.cdc.gov/coronavirus/2019-ncov/covid-data/faq-surveillance.html</a><br></li></ul>

<b>Overview</b>

The COVID-19 case surveillance database includes individual-level data reported to U.S. states and autonomous reporting entities, including New York City and the District of Columbia (D.C.), as well as U.S. territories and affiliates. On April 5, 2020, COVID-19 was added to the <a href=""https://ndc.services.cdc.gov/search-results-year/"">Nationally Notifiable Condition List</a> and classified as “immediately notifiable, urgent (within 24 hours)” by a Council of State and Territorial Epidemiologists (CSTE) Interim Position Statement (<a href=""https://cdn.ymaws.com/www.cste.org/resource/resmgr/ps/positionstatement2020/Interim-20-ID-01_COVID","<https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data-with-Ge/n8mc-b4w4>; rel=""original"",
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<http://web.archive.org/web/20220815173623/http://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data-with-Ge/n8mc-b4w4>; rel=""memento""; datetime=""Mon, 15 Aug 2022 17:36:23 GMT"",
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","{'name': 'COVID-19 Case Surveillance Public Use Data with Geography', 'id': 'n8mc-b4w4', 'description': '<b>Note:</b>\nReporting of new COVID-19 Case Surveillance data will be discontinued July 1, 2024, to align with the process of removing SARS-CoV-2 infections (COVID-19 cases) from the list of nationally notifiable diseases. Although these data will continue to be publicly available, the dataset will no longer be updated.\n\nAuthorizations to collect certain public health data expired at the end of the U.S. public health emergency declaration on May 11, 2023. The following jurisdictions discontinued COVID-19 case notifications to CDC: Iowa (11/8/21), Kansas (5/12/23), Kentucky (1/1/24), Louisiana (10/31/23), New Hampshire (5/23/23), and Oklahoma (5/2/23). Please note that these jurisdictions will not routinely send new case data after the dates indicated. As of 7/13/23, case notifications from Oregon will only include pediatric cases resulting in death.\n\n\nThis case surveillance public use dataset has 19 elements for all COVID-19 cases shared with CDC and includes demographics, geography (county and state of residence), any exposure history, disease severity indicators and outcomes, and presence of any underlying medical conditions and risk behaviors.\n\nCurrently, CDC provides the public with three versions of COVID-19 case surveillance line-listed data: this <a href=""https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data-with-Ge/n8mc-b4w4"">19 data element dataset with geography</a>, a <a href=""https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf"">12 data element public use dataset</a>, and a <a href=""https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Restricted-Access-Detai/mbd7-r32t"">33 data element restricted access dataset</a>.\n\nThe following apply to the public use datasets and the restricted access dataset:\n<ul><li>Data elements can be found on the COVID-19 case report form located at www.cdc.gov/coronavirus/2019-ncov/downloads/pui-form.pdf.</li><li>Data are considered provisional by CDC and are subject to change until the data are reconciled and verified with the state and territorial data providers.</li><li>Some data are suppressed to protect individual privacy.</li><li>Datasets will include all cases with the earliest date available in each record (date received by CDC or date related to illness/specimen collection) at least 14 days prior to the creation of the current datasets. This 14-day lag allows case reporting to be stabilized and ensure that time-dependent outcome data are accurately captured.</li><li>Datasets are updated monthly.</li><li>Datasets are created using CDC’s <a href=""https://www.cdc.gov/grants/additional-requirements/ar-25.html"">Policy on Public Health Research and Nonresearch Data Management and Access</a> and include protections designed to protect individual privacy.</li><li>For more information about data collection and reporting, please see\u202f<a href=""https://www.cdc.gov/coronavirus/2019-ncov/covid-data/about-us-cases-deaths.html"">https://www.cdc.gov/coronavirus/2019-ncov/covid-data/about-us-cases-deaths.html.</a></li><li>For more information about the COVID-19 case surveillance data, please see <a href=""https://www.cdc.gov/coronavirus/2019-ncov/covid-data/faq-surveillance.html""> https://www.cdc.gov/coronavirus/2019-ncov/covid-data/faq-surveillance.html</a><br></li></ul>\n\n<b>Overview</b>\n\nThe COVID-19 case surveillance database includes individual-level data reported to U.S. states and autonomous reporting entities, including New York City and the District of Columbia (D.C.), as well as U.S. territories and affiliates. On April 5, 2020, COVID-19 was added to the <a href=""https://ndc.services.cdc.gov/search-results-year/"">Nationally Notifiable Condition List</a> and classified as “immediately notifiable, urgent (within 24 hours)” by a Council of State and Territorial Epidemiologists (CSTE) Interim Position Statement (<a href=""https://cdn.ymaws.com/www.cste.org/resource/resmgr/ps/positionstatement2020/Interim-20-ID-01_COVID', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data-with-Ge/n8mc-b4w4'}"
"COVID-19 Cases Among Healthcare Personnel, by week - ARCHIVED",4zxn-f9dq,4zxn-f9dq_1736731073.813080_COVID-19_Cases_Among_Healthcare_Personnel__by_week_-_ARCHIVED_20250113.csv.gz,2025-01-13 01:17:53 UTC,https://data.cdc.gov/Case-Surveillance/COVID-19-Cases-Among-Healthcare-Personnel-by-week-/4zxn-f9dq,"Weekly cases among healthcare personnel, by week

<b>Note:</b> Rows marked by ""missing date fields"" represent healthcare worker cases that were not associated with a date.",,"{'name': 'COVID-19 Cases Among Healthcare Personnel, by week - ARCHIVED', 'id': '4zxn-f9dq', 'description': 'Weekly cases among healthcare personnel, by week\n\n<b>Note:</b> Rows marked by ""missing date fields"" represent healthcare worker cases that were not associated with a date.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Case-Surveillance/COVID-19-Cases-Among-Healthcare-Personnel-by-week-/4zxn-f9dq'}"
COVID-19 Coverage Assistance Fund: Claims Reimbursement to Health Care Providers and Facilities for Services to the Underinsured,xgy8-wnft,xgy8-wnft_1736711847.924929_COVID-19_Coverage_Assistance_Fund__Claims_Reimbursement_to_Health_Care_Providers_and_Facilities_for_Services_to_the_Underinsured_20250112.csv.gz,2025-01-12 19:57:27 UTC,https://data.cdc.gov/Administrative/COVID-19-Coverage-Assistance-Fund-Claims-Reimburse/xgy8-wnft,"The COVID-19 Coverage Assistance Fund provides reimbursements on a rolling basis directly to eligible health care entities for costs associated with administering COVID-19 vaccines to underinsured individuals, who are defined for this purpose as having a health plan that either does not include COVID-19 vaccine administration as a covered benefit or covers COVID-19 vaccine administration but with cost-sharing.

The program funding information is as follows: The Coronavirus Aid, Relief, and Economic Security (CARES) Act (P.L. 116-136), appropriated $100 billion to reimburse eligible health care providers for health care related expenses or lost revenues that are attributable to coronavirus. The Paycheck Protection Program and Health Care Enhancement Act or PPPHCEA (P.L. 116-139) appropriated an additional $75 billion for relief funds, and the Coronavirus Response and Relief Supplemental Appropriations (CRRSA) Act appropriated an additional $3 billion.  HRSA established the Provider Relief Fund (PRF) to administer payments to eligible providers. A portion of the PRF funds are being used to provide reimbursement to providers for administering Food and Drug Administration (FDA) authorized COVID-19 vaccines under an Emergency Use Authorization (EUA) or FDA-licensed COVID-19 vaccines under a Biologics License Application (BLA) to underinsured individuals. To learn more about the program, visit: https://www.hrsa.gov/covid19-coverage-assistance

This dataset represents the list of health care entities who have agreed to the Terms and Conditions and received claims reimbursement for costs associated with administering COVID-19 vaccines to underinsured individuals.

For Provider Relief Fund Data - https://data.cdc.gov/Administrative/HHS-Provider-Relief-Fund/kh8y-3es6",,"{'name': 'COVID-19 Coverage Assistance Fund: Claims Reimbursement to Health Care Providers and Facilities for Services to the Underinsured', 'id': 'xgy8-wnft', 'description': 'The COVID-19 Coverage Assistance Fund provides reimbursements on a rolling basis directly to eligible health care entities for costs associated with administering COVID-19 vaccines to underinsured individuals, who are defined for this purpose as having a health plan that either does not include COVID-19 vaccine administration as a covered benefit or covers COVID-19 vaccine administration but with cost-sharing.\n\nThe program funding information is as follows: The Coronavirus Aid, Relief, and Economic Security (CARES) Act (P.L. 116-136), appropriated $100 billion to reimburse eligible health care providers for health care related expenses or lost revenues that are attributable to coronavirus. The Paycheck Protection Program and Health Care Enhancement Act or PPPHCEA (P.L. 116-139) appropriated an additional $75 billion for relief funds, and the Coronavirus Response and Relief Supplemental Appropriations (CRRSA) Act appropriated an additional $3 billion.  HRSA established the Provider Relief Fund (PRF) to administer payments to eligible providers. A portion of the PRF funds are being used to provide reimbursement to providers for administering Food and Drug Administration (FDA) authorized COVID-19 vaccines under an Emergency Use Authorization (EUA) or FDA-licensed COVID-19 vaccines under a Biologics License Application (BLA) to underinsured individuals. To learn more about the program, visit: https://www.hrsa.gov/covid19-coverage-assistance\n\nThis dataset represents the list of health care entities who have agreed to the Terms and Conditions and received claims reimbursement for costs associated with administering COVID-19 vaccines to underinsured individuals.\n\nFor Provider Relief Fund Data - https://data.cdc.gov/Administrative/HHS-Provider-Relief-Fund/kh8y-3es6', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Administrative/COVID-19-Coverage-Assistance-Fund-Claims-Reimburse/xgy8-wnft'}"
"COVID-19 Deaths Among Healthcare Personnel, by week - ARCHIVED",xwa7-cukt,xwa7-cukt_1736730407.596553_COVID-19_Deaths_Among_Healthcare_Personnel__by_week_-_ARCHIVED_20250113.csv.gz,2025-01-13 01:06:47 UTC,https://data.cdc.gov/Case-Surveillance/COVID-19-Deaths-Among-Healthcare-Personnel-by-week/xwa7-cukt,"COVID-19 Deaths Among Healthcare Personnel, by week",,"{'name': 'COVID-19 Deaths Among Healthcare Personnel, by week - ARCHIVED', 'id': 'xwa7-cukt', 'description': 'COVID-19 Deaths Among Healthcare Personnel, by week', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Case-Surveillance/COVID-19-Deaths-Among-Healthcare-Personnel-by-week/xwa7-cukt'}"
COVID-19 Hospital Data from the National Hospital Care Survey,q3t8-zr7t,q3t8-zr7t_1736710796.894002_COVID-19_Hospital_Data_from_the_National_Hospital_Care_Survey_20250112.csv.gz,2025-01-12 19:39:56 UTC,https://data.cdc.gov/NCHS/COVID-19-Hospital-Data-from-the-National-Hospital-/q3t8-zr7t,"The National Hospital Care Survey (NHCS) collects data on patient care in hospital-based settings to describe patterns of health care delivery and utilization in the United States. Settings currently include inpatient and emergency departments (ED). Additionally, the NHCS contributes data that may inform public health emergencies as the survey is designed to capture emerging diseases and viruses that require hospitalizations, including COVID-19 encounters. The 2020 - 2023 NHCS are not yet fully operational so it is important to note that these data are not nationally representative.

The data are from 26 hospitals submitting inpatient and 26 hospitals submitting ED Uniform Bill (UB)-04 administrative claims from March 18, 2020-December 26, 2023.  Even though the data are not nationally representative, they can provide insight on the impact of COVID-19 on various types of hospitals throughout the country. This information is not available in other hospital reporting systems. The NHCS data from these hospitals can show results by a combination of indicators related to COVID-19, such as length of inpatient stay, in-hospital mortality, comorbidities, and intubation or ventilator use. NHCS data allow for reporting on patient conditions and treatments within the hospital over time.",,"{'name': 'COVID-19 Hospital Data from the National Hospital Care Survey', 'id': 'q3t8-zr7t', 'description': 'The National Hospital Care Survey (NHCS) collects data on patient care in hospital-based settings to describe patterns of health care delivery and utilization in the United States. Settings currently include inpatient and emergency departments (ED). Additionally, the NHCS contributes data that may inform public health emergencies as the survey is designed to capture emerging diseases and viruses that require hospitalizations, including COVID-19 encounters. The 2020 - 2023 NHCS are not yet fully operational so it is important to note that these data are not nationally representative.\n\nThe data are from 26 hospitals submitting inpatient and 26 hospitals submitting ED Uniform Bill (UB)-04 administrative claims from March 18, 2020-December 26, 2023.  Even though the data are not nationally representative, they can provide insight on the impact of COVID-19 on various types of hospitals throughout the country. This information is not available in other hospital reporting systems. The NHCS data from these hospitals can show results by a combination of indicators related to COVID-19, such as length of inpatient stay, in-hospital mortality, comorbidities, and intubation or ventilator use. NHCS data allow for reporting on patient conditions and treatments within the hospital over time.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/COVID-19-Hospital-Data-from-the-National-Hospital-/q3t8-zr7t'}"
"COVID-19 Primary Series Completion, Booster Dose Eligibility, and Booster Dose Receipt by Age, United States ",3pbe-qh9z,3pbe-qh9z_1736713767.149646_COVID-19_Primary_Series_Completion__Booster_Dose_Eligibility__and_Booster_Dose_Receipt_by_Age__United_States__20250112.csv.gz,2025-01-12 20:29:27 UTC,https://data.cdc.gov/Vaccinations/COVID-19-Primary-Series-Completion-Booster-Dose-El/3pbe-qh9z,"This site provides historical data beginning June 22, 2022, for the visualization presented on <a href=""https://covid.cdc.gov/covid-data-tracker/#vaccinations"" target=""_blank"">COVID-19 Data Tracker’s “Vaccinations in the United States”</a> site titled “Primary Series Completion, Booster Dose Eligibility, and Booster Dose Receipt by Age, United States”.

<b >Fully Vaccinated / Completed Primary Series:</b> <ul><li> For surveillance purposes, COVID Data Tracker counts people as being ""fully vaccinated"" or as having ""completed a primary series"" if they received two doses on different days (regardless of time interval) of the two-dose mRNA series or received one dose of a single-dose vaccine. When the vaccine manufacturer is not reported, the recipient is considered fully vaccinated with two doses.</li></ul><b>First Booster Dose:  </b><ul><li>For surveillance purposes, the count and percentage of people who received a first booster dose includes anyone who is fully vaccinated and has received another dose of COVID-19 vaccine since August 13, 2021. This includes people who received a first booster dose and people who received an additional primary series dose as this metric does not distinguish if the recipient is <b><a href='https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/immuno.html' target=""_blank""> immunocompromised and received an additional dose</a></b>.</li><li><b>   First booster dose eligibility: </b><ul><li>CDC counts people as being <b>"" <a href=""https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html"" target=""_blank"">eligible for a first booster dose</a>""</b> if it has been at least 5 months since completion of a Pfizer-BioNTech or Moderna primary series or at least 2 months since receipt of a Janssen (Johnson & Johnson) singe-dose vaccine. </li></ul></li></ul>
<b>Second Booster Dose:</b><ul><li>For surveillance purposes, the count and percentage of people who received a second booster dose includes anyone who is fully vaccinated and has received two subsequent doses of COVID-19 vaccine since August 13, 2021. This includes people who received two booster doses and people who received one additional dose and one booster dose.  </li><li>The count of people who received a second booster dose and the percentage of people with a first booster who received a second booster dose does not account for whether a person is <b><a href='https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/immuno.html'  target=""_blank"">immunocompromised or time interval since first booster dose</a></b>. </li><li><b>Second booster dose eligibility: </b><ul><li>CDC counts people as being  <b>""<a href=""https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html"" target=""_blank""><b>eligible for a second booster dose</b></a>"" </b> if it has been at least 4 months since receiving a first booster dose. </ul></li></li><li><b>Limitations to counting people with a second booster dose: </b>
<ul><li>Due to the aggregate vaccination record reporting method used by Idaho for its residents under the age of 18 years and by Texas for all its residents, CDC counts all 4th doses received by these populations as a second booster dose. This includes immunocompromised individuals who received a three-dose primary series and only one booster dose. This limitation may lead to an undercount of people who received the single-dose J&J/Janssen vaccine as their primary series and two booster doses.</li></ul>
</li></ul>Data represents all vaccine partners including jurisdictional partner clinics, retail pharmacies, long-term care facilities, dialysis centers, Federal Emergency Management Agency and Health Resources and Services Administration partner sites, and federal entity facilities.",,"{'name': 'COVID-19 Primary Series Completion, Booster Dose Eligibility, and Booster Dose Receipt by Age, United States\xa0', 'id': '3pbe-qh9z', 'description': 'This site provides historical data beginning June 22, 2022, for the visualization presented on <a href=""https://covid.cdc.gov/covid-data-tracker/#vaccinations"" target=""_blank"">COVID-19 Data Tracker’s “Vaccinations in the United States”</a> site titled “Primary Series Completion, Booster Dose Eligibility, and Booster Dose Receipt by Age, United States”.\n\n<b >Fully Vaccinated / Completed Primary Series:</b> <ul><li> For surveillance purposes, COVID Data Tracker counts people as being ""fully vaccinated"" or as having ""completed a primary series"" if they received two doses on different days (regardless of time interval) of the two-dose mRNA series or received one dose of a single-dose vaccine. When the vaccine manufacturer is not reported, the recipient is considered fully vaccinated with two doses.</li></ul><b>First Booster Dose:\u202f </b><ul><li>For surveillance purposes, the count and percentage of people who received a first booster dose includes anyone who is fully vaccinated and has received another dose of COVID-19 vaccine since August 13, 2021. This includes people who received a first booster dose and people who received an additional primary series dose as this metric does not distinguish if the recipient is <b><a href=\'https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/immuno.html\' target=""_blank"">\u202fimmunocompromised and received an additional dose</a></b>.</li><li><b>   First booster dose eligibility: </b><ul><li>CDC counts people as being <b>""\u202f<a href=""https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html"" target=""_blank"">eligible for a first booster dose</a>""</b> if it has been at least 5 months since completion of a Pfizer-BioNTech or Moderna primary series or at least 2 months since receipt of a Janssen (Johnson & Johnson) singe-dose vaccine. </li></ul></li></ul>\n<b>Second Booster Dose:</b><ul><li>For surveillance purposes, the count and percentage of people who received a second booster dose includes anyone who is fully vaccinated and has received two subsequent doses of COVID-19 vaccine since August 13, 2021. This includes people who received two booster doses and people who received one additional dose and one booster dose.\u202f </li><li>The count of people who received a second booster dose and the percentage of people with a first booster who received a second booster dose does not account for whether a person is <b><a href=\'https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/immuno.html\'  target=""_blank"">immunocompromised or time interval since first booster dose</a></b>. </li><li><b>Second booster dose eligibility: </b><ul><li>CDC counts people as being\u202f <b>""<a href=""https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html"" target=""_blank""><b>eligible for a second booster dose</b></a>""\u202f</b> if it has been at least 4 months since receiving a first booster dose. </ul></li></li><li><b>Limitations to counting people with a second booster dose: </b>\n<ul><li>Due to the aggregate vaccination record reporting method used by Idaho for its residents under the age of 18 years and by Texas for all its residents, CDC counts all 4th doses received by these populations as a second booster dose. This includes immunocompromised individuals who received a three-dose primary series and only one booster dose. This limitation may lead to an undercount of people who received the single-dose J&J/Janssen vaccine as their primary series and two booster doses.</li></ul>\n</li></ul>Data represents all vaccine partners including jurisdictional partner clinics, retail pharmacies, long-term care facilities, dialysis centers, Federal Emergency Management Agency and Health Resources and Services Administration partner sites, and federal entity facilities.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/COVID-19-Primary-Series-Completion-Booster-Dose-El/3pbe-qh9z'}"
"COVID-19 State, Tribal, Local, and Territorial Funding",tt3f-rr33,tt3f-rr33_1736712415.905531_COVID-19_State__Tribal__Local__and_Territorial_Funding_20250112.csv.gz,2025-01-12 20:06:55 UTC,https://data.cdc.gov/Administrative/COVID-19-State-Tribal-Local-and-Territorial-Fundin/tt3f-rr33,"The U.S. government has taken unprecedented action to address the public health threat posed by this new coronavirus. To accelerate response efforts, CDC received supplemental funds through five congressional acts: the Coronavirus Preparedness and Response Supplemental Appropriations Act, 2020; Coronavirus Aid, Relief, and Economic Security Act; Paycheck Protection Program and Health Care Enhancement Act; Coronavirus Response and Relief Supplemental Appropriations Act, 2021; and American Rescue Plan Act of 2021. CDC is actively funding state, tribal, local, and territorial public health organizations to meet the challenges of this fast-moving public health threat.",,"{'name': 'COVID-19 State, Tribal, Local, and Territorial Funding', 'id': 'tt3f-rr33', 'description': 'The U.S. government has taken unprecedented action to address the public health threat posed by this new coronavirus. To accelerate response efforts, CDC received supplemental funds through five congressional acts: the Coronavirus Preparedness and Response Supplemental Appropriations Act, 2020; Coronavirus Aid, Relief, and Economic Security Act; Paycheck Protection Program and Health Care Enhancement Act; Coronavirus Response and Relief Supplemental Appropriations Act, 2021; and American Rescue Plan Act of 2021. CDC is actively funding state, tribal, local, and territorial public health organizations to meet the challenges of this fast-moving public health threat.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Administrative/COVID-19-State-Tribal-Local-and-Territorial-Fundin/tt3f-rr33'}"
COVID-19 Updated Vaccines Distributed,hwk8-wu83,hwk8-wu83_1736719126.554284_COVID-19_Updated_Vaccines_Distributed_20250112.csv.gz,2025-01-12 21:58:46 UTC,https://data.cdc.gov/Vaccinations/COVID-19-Updated-Vaccines-Distributed/hwk8-wu83,"This site provides historical data beginning June 14, 2023, for the visualization presented on <a href=""https://covid.cdc.gov/covid-data-tracker/#vaccinations"">COVID-19 Data Tracker’s “Vaccinations in the United States"" </a> site titled “US COVID-19 Vaccine Doses Delivered by Vaccine Type”

<b>Definition for Distributed: </b>
Cumulative number of COVID-19 updated vaccine doses distributed in the United States.
CDC is no longer reporting metrics for Johnson & Johnson, and the original Pfizer and Moderna vaccines.

Data represents all vaccine partners including jurisdictional partner clinics, retail pharmacies, long-term care facilities, dialysis centers, Federal Emergency Management Agency and Health Resources and Services Administration partner sites, and federal entity facilities.",,"{'name': 'COVID-19 Updated Vaccines Distributed', 'id': 'hwk8-wu83', 'description': 'This site provides historical data beginning June 14, 2023, for the visualization presented on <a href=""https://covid.cdc.gov/covid-data-tracker/#vaccinations"">COVID-19 Data Tracker’s “Vaccinations in the United States"" </a> site titled “US COVID-19 Vaccine Doses Delivered by Vaccine Type”\n\n<b>Definition for Distributed: </b>\nCumulative number of COVID-19 updated vaccine doses distributed in the United States.\nCDC is no longer reporting metrics for Johnson & Johnson, and the original Pfizer and Moderna vaccines.\n\nData represents all vaccine partners including jurisdictional partner clinics, retail pharmacies, long-term care facilities, dialysis centers, Federal Emergency Management Agency and Health Resources and Services Administration partner sites, and federal entity facilities.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/COVID-19-Updated-Vaccines-Distributed/hwk8-wu83'}"
"COVID-19 Vaccination Age and Sex Trends in the United States, National and Jurisdictional",5i5k-6cmh,5i5k-6cmh_1736710471.660300_COVID-19_Vaccination_Age_and_Sex_Trends_in_the_United_States__National_and_Jurisdictional_20250112.csv.gz,2025-01-12 19:34:31 UTC,https://data.cdc.gov/Vaccinations/COVID-19-Vaccination-Age-and-Sex-Trends-in-the-Uni/5i5k-6cmh,"This site provides data for select demographic characteristics (age, sex, and age by sex) of people receiving COVID-19 vaccinations in the United States at the national and jurisdictional levels. For national race/ethnicity data, please visit <a href=""https://data.cdc.gov/Vaccinations/COVID-19-Vaccination-Demographics-in-the-United-St/km4m-vcsb"">COVID-19 Vaccination Demographics in the United States,National</a>. For jurisdictional race/ethnicity data, please visit the relevant health department website if available.
 
Data represents all vaccine partners including jurisdictional partner clinics, retail pharmacies, long-term care facilities, dialysis centers, Federal Emergency Management Agency and Health Resources and Services Administration partner sites, and federal entity facilities. ",,"{'name': 'COVID-19 Vaccination Age and Sex Trends in the United States, National and Jurisdictional', 'id': '5i5k-6cmh', 'description': 'This site provides data for select demographic characteristics (age, sex, and age by sex) of people receiving COVID-19 vaccinations in the United States at the national and jurisdictional levels. For national race/ethnicity data, please visit <a href=""https://data.cdc.gov/Vaccinations/COVID-19-Vaccination-Demographics-in-the-United-St/km4m-vcsb"">COVID-19 Vaccination Demographics in the United States,National</a>. For jurisdictional race/ethnicity data, please visit the relevant health department website if available.\n \nData represents all vaccine partners including jurisdictional partner clinics, retail pharmacies, long-term care facilities, dialysis centers, Federal Emergency Management Agency and Health Resources and Services Administration partner sites, and federal entity facilities.\u202f', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/COVID-19-Vaccination-Age-and-Sex-Trends-in-the-Uni/5i5k-6cmh'}"
"COVID-19 Vaccination Demographics in the United States,National",km4m-vcsb,km4m-vcsb_1736708068.945287_COVID-19_Vaccination_Demographics_in_the_United_States_National_20250112.csv.gz,2025-01-12 18:54:28 UTC,https://data.cdc.gov/Vaccinations/COVID-19-Vaccination-Demographics-in-the-United-St/km4m-vcsb,"Overall Demographic Characteristics of People Receiving COVID-19 Vaccinations in the United States at national level. Data represents all vaccine partners including jurisdictional partner clinics, retail pharmacies, long-term care facilities, dialysis centers, Federal Emergency Management Agency and Health Resources and Services Administration partner sites, and federal entity facilities. ",,"{'name': 'COVID-19 Vaccination Demographics in the United States,National', 'id': 'km4m-vcsb', 'description': 'Overall\xa0Demographic Characteristics of People Receiving COVID-19 Vaccinations in the United States\xa0at national level. Data represents all vaccine partners including jurisdictional partner clinics, retail pharmacies, long-term care facilities, dialysis centers, Federal Emergency Management Agency and Health Resources and Services Administration partner sites, and federal entity facilities.\xa0', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/COVID-19-Vaccination-Demographics-in-the-United-St/km4m-vcsb'}"
"COVID-19 Vaccination Trends in the United States,National and Jurisdictional",rh2h-3yt2,rh2h-3yt2_1736708206.554644_COVID-19_Vaccination_Trends_in_the_United_States_National_and_Jurisdictional_20250112.csv.gz,2025-01-12 18:56:46 UTC,https://data.cdc.gov/Vaccinations/COVID-19-Vaccination-Trends-in-the-United-States-N/rh2h-3yt2,"Overall Trends in Number of COVID-19 Vaccinations in the US at national and jurisdictional levels. Data represents all vaccine partners including jurisdictional partner clinics, retail pharmacies, long-term care facilities, dialysis centers, Federal Emergency Management Agency and Health Resources and Services Administration partner sites, and federal entity facilities. ",,"{'name': 'COVID-19 Vaccination Trends in the United States,National and Jurisdictional', 'id': 'rh2h-3yt2', 'description': 'Overall\xa0Trends in Number of COVID-19 Vaccinations in the US at\xa0national\xa0and jurisdictional levels. Data represents all vaccine partners including jurisdictional partner clinics, retail pharmacies, long-term care facilities, dialysis centers, Federal Emergency Management Agency and Health Resources and Services Administration partner sites, and federal entity facilities.\xa0', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/COVID-19-Vaccination-Trends-in-the-United-States-N/rh2h-3yt2'}"
"COVID-19 Vaccinations in the United States,County",8xkx-amqh,8xkx-amqh_1736707230.724960_COVID-19_Vaccinations_in_the_United_States_County_20250112.csv.gz,2025-01-12 18:40:30 UTC,https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-County/8xkx-amqh,"Overall US COVID-19 Vaccine administration and vaccine equity data at county level. Data represents all vaccine partners including jurisdictional partner clinics, retail pharmacies, long-term care facilities, dialysis centers, Federal Emergency Management Agency and Health Resources and Services Administration partner sites, and federal entity facilities. ","<https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-County/8xkx-amqh>; rel=""original"",
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<http://web.archive.org/web/20211113104401/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-County/8xkx-amqh>; rel=""memento""; datetime=""Sat, 13 Nov 2021 10:44:01 GMT"",
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<http://web.archive.org/web/20211226095423/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-County/8xkx-amqh>; rel=""memento""; datetime=""Sun, 26 Dec 2021 09:54:23 GMT"",
<http://web.archive.org/web/20211226112532/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-County/8xkx-amqh>; rel=""memento""; datetime=""Sun, 26 Dec 2021 11:25:32 GMT"",
<http://web.archive.org/web/20211226231129/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-County/8xkx-amqh>; rel=""memento""; datetime=""Sun, 26 Dec 2021 23:11:29 GMT"",
<http://web.archive.org/web/20211227060051/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-County/8xkx-amqh>; rel=""memento""; datetime=""Mon, 27 Dec 2021 06:00:51 GMT"",
<http://web.archive.org/web/20211227105442/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-County/8xkx-amqh>; rel=""memento""; datetime=""Mon, 27 Dec 2021 10:54:42 GMT"",
<http://web.archive.org/web/20211227114410/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-County/8xkx-amqh>; rel=""memento""; datetime=""Mon, 27 Dec 2021 11:44:10 GMT"",
<http://web.archive.org/web/20211227160404/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-County/8xkx-amqh>; rel=""memento""; datetime=""Mon, 27 Dec 2021 16:04:04 GMT"",
<http://web.archive.org/web/20211227225841/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-County/8xkx-amqh>; rel=""memento""; datetime=""Mon, 27 Dec 2021 22:58:41 GMT"",
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<http://web.archive.org/web/20211228094700/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-County/8xkx-amqh>; rel=""memento""; datetime=""Tue, 28 Dec 2021 09:47:00 GMT"",
<http://web.archive.org/web/20211228145348/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-County/8xkx-amqh>; rel=""memento""; datetime=""Tue, 28 Dec 2021 14:53:48 GMT"",
<http://web.archive.org/web/20211228153950/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-County/8xkx-amqh>; rel=""memento""; datetime=""Tue, 28 Dec 2021 15:39:50 GMT"",
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<http://web.archive.org/web/20211229034723/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-County/8xkx-amqh>; rel=""memento""; datetime=""Wed, 29 Dec 2021 03:47:23 GMT"",
<http://web.archive.org/web/20220101055000/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-County/8xkx-amqh>; rel=""memento""; datetime=""Sat, 01 Jan 2022 05:50:00 GMT"",
<http://web.archive.org/web/20220101065758/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-County/8xkx-amqh>; rel=""memento""; datetime=""Sat, 01 Jan 2022 06:57:58 GMT"",
<http://web.archive.org/web/20220102083230/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-County/8xkx-amqh>; rel=""memento""; datetime=""Sun, 02 Jan 2022 08:32:30 GMT"",
<http://web.archive.org/web/20220103070450/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-County/8xkx-amqh>; rel=""memento""; datetime=""Mon, 03 Jan 2022 07:04:50 GMT"",
<http://web.archive.org/web/20220109120909/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-County/8xkx-amqh>; rel=""memento""; datetime=""Sun, 09 Jan 2022 12:09:09 GMT"",
<http://web.archive.org/web/20220111145058/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-County/8xkx-amqh>; rel=""memento""; datetime=""Tue, 11 Jan 2022 14:50:58 GMT"",
<http://web.archive.org/web/20220115105144/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-County/8xkx-amqh>; rel=""memento""; datetime=""Sat, 15 Jan 2022 10:51:44 GMT"",
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<http://web.archive.org/web/20220117174137/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-County/8xkx-amqh>; rel=""memento""; datetime=""Mon, 17 Jan 2022 17:41:37 GMT"",
<http://web.archive.org/web/20220118060522/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-County/8xkx-amqh>; rel=""memento""; datetime=""Tue, 18 Jan 2022 06:05:22 GMT"",
<http://web.archive.org/web/20220118061041/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-County/8xkx-amqh>; rel=""memento""; datetime=""Tue, 18 Jan 2022 06:10:41 GMT"",
<http://web.archive.org/web/20220119212144/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-County/8xkx-amqh>; rel=""memento""; datetime=""Wed, 19 Jan 2022 21:21:44 GMT"",
<http://web.archive.org/web/20220120015324/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-County/8xkx-amqh>; rel=""memento""; datetime=""Thu, 20 Jan 2022 01:53:24 GMT"",
<http://web.archive.org/web/20220122071948/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-County/8xkx-amqh>; rel=""memento""; datetime=""Sat, 22 Jan 2022 07:19:48 GMT"",
<http://web.archive.org/web/20220124002802/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-County/8xkx-amqh>; rel=""memento""; datetime=""Mon, 24 Jan 2022 00:28:02 GMT"",
<http://web.archive.org/web/20220125230758/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-County/8xkx-amqh>; rel=""memento""; datetime=""Tue, 25 Jan 2022 23:07:58 GMT"",
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<http://web.archive.org/web/20210927060343/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Mon, 27 Sep 2021 06:03:43 GMT"",
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<http://web.archive.org/web/20210928020337/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Tue, 28 Sep 2021 02:03:37 GMT"",
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<http://web.archive.org/web/20210929030427/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Wed, 29 Sep 2021 03:04:27 GMT"",
<http://web.archive.org/web/20210929161231/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Wed, 29 Sep 2021 16:12:31 GMT"",
<http://web.archive.org/web/20210930035132/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Thu, 30 Sep 2021 03:51:32 GMT"",
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<http://web.archive.org/web/20211004223124/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Mon, 04 Oct 2021 22:31:24 GMT"",
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<http://web.archive.org/web/20211008022718/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Fri, 08 Oct 2021 02:27:18 GMT"",
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<http://web.archive.org/web/20211009144252/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 09 Oct 2021 14:42:52 GMT"",
<http://web.archive.org/web/20211010060354/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sun, 10 Oct 2021 06:03:54 GMT"",
<http://web.archive.org/web/20211010163707/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sun, 10 Oct 2021 16:37:07 GMT"",
<http://web.archive.org/web/20211011150028/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Mon, 11 Oct 2021 15:00:28 GMT"",
<http://web.archive.org/web/20211011204625/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Mon, 11 Oct 2021 20:46:25 GMT"",
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<http://web.archive.org/web/20211014003805/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Thu, 14 Oct 2021 00:38:05 GMT"",
<http://web.archive.org/web/20211015001635/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Fri, 15 Oct 2021 00:16:35 GMT"",
<http://web.archive.org/web/20211015095905/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Fri, 15 Oct 2021 09:59:05 GMT"",
<http://web.archive.org/web/20211015232553/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Fri, 15 Oct 2021 23:25:53 GMT"",
<http://web.archive.org/web/20211016172534/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 16 Oct 2021 17:25:34 GMT"",
<http://web.archive.org/web/20211017145445/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sun, 17 Oct 2021 14:54:45 GMT"",
<http://web.archive.org/web/20211017183335/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sun, 17 Oct 2021 18:33:35 GMT"",
<http://web.archive.org/web/20211018053943/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Mon, 18 Oct 2021 05:39:43 GMT"",
<http://web.archive.org/web/20211019032006/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Tue, 19 Oct 2021 03:20:06 GMT"",
<http://web.archive.org/web/20211019111544/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Tue, 19 Oct 2021 11:15:44 GMT"",
<http://web.archive.org/web/20211020054758/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Wed, 20 Oct 2021 05:47:58 GMT"",
<http://web.archive.org/web/20211021004312/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Thu, 21 Oct 2021 00:43:12 GMT"",
<http://web.archive.org/web/20211021013418/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Thu, 21 Oct 2021 01:34:18 GMT"",
<http://web.archive.org/web/20211022010739/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Fri, 22 Oct 2021 01:07:39 GMT"",
<http://web.archive.org/web/20211023030317/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 23 Oct 2021 03:03:17 GMT"",
<http://web.archive.org/web/20211023104318/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 23 Oct 2021 10:43:18 GMT"",
<http://web.archive.org/web/20211023191152/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 23 Oct 2021 19:11:52 GMT"",
<http://web.archive.org/web/20211024184158/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sun, 24 Oct 2021 18:41:58 GMT"",
<http://web.archive.org/web/20211026025703/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Tue, 26 Oct 2021 02:57:03 GMT"",
<http://web.archive.org/web/20211027072913/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Wed, 27 Oct 2021 07:29:13 GMT"",
<http://web.archive.org/web/20211028043817/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Thu, 28 Oct 2021 04:38:17 GMT"",
<http://web.archive.org/web/20211028144533/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Thu, 28 Oct 2021 14:45:33 GMT"",
<http://web.archive.org/web/20211029063238/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Fri, 29 Oct 2021 06:32:38 GMT"",
<http://web.archive.org/web/20211030045303/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 30 Oct 2021 04:53:03 GMT"",
<http://web.archive.org/web/20211030070901/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 30 Oct 2021 07:09:01 GMT"",
<http://web.archive.org/web/20211030214853/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 30 Oct 2021 21:48:53 GMT"",
<http://web.archive.org/web/20211031150050/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sun, 31 Oct 2021 15:00:50 GMT"",
<http://web.archive.org/web/20211031214207/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sun, 31 Oct 2021 21:42:07 GMT"",
<http://web.archive.org/web/20211103044653/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Wed, 03 Nov 2021 04:46:53 GMT"",
<http://web.archive.org/web/20211104065258/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Thu, 04 Nov 2021 06:52:58 GMT"",
<http://web.archive.org/web/20211105034811/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Fri, 05 Nov 2021 03:48:11 GMT"",
<http://web.archive.org/web/20211106135708/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 06 Nov 2021 13:57:08 GMT"",
<http://web.archive.org/web/20211109073033/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Tue, 09 Nov 2021 07:30:33 GMT"",
<http://web.archive.org/web/20211110030600/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Wed, 10 Nov 2021 03:06:00 GMT"",
<http://web.archive.org/web/20211111024816/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Thu, 11 Nov 2021 02:48:16 GMT"",
<http://web.archive.org/web/20211111083323/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Thu, 11 Nov 2021 08:33:23 GMT"",
<http://web.archive.org/web/20211111100935/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Thu, 11 Nov 2021 10:09:35 GMT"",
<http://web.archive.org/web/20211113091835/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 13 Nov 2021 09:18:35 GMT"",
<http://web.archive.org/web/20211113104443/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 13 Nov 2021 10:44:43 GMT"",
<http://web.archive.org/web/20211114040606/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sun, 14 Nov 2021 04:06:06 GMT"",
<http://web.archive.org/web/20211114043120/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sun, 14 Nov 2021 04:31:20 GMT"",
<http://web.archive.org/web/20211114123255/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sun, 14 Nov 2021 12:32:55 GMT"",
<http://web.archive.org/web/20211114232441/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sun, 14 Nov 2021 23:24:41 GMT"",
<http://web.archive.org/web/20211116085053/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Tue, 16 Nov 2021 08:50:53 GMT"",
<http://web.archive.org/web/20211117082739/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Wed, 17 Nov 2021 08:27:39 GMT"",
<http://web.archive.org/web/20211121080905/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sun, 21 Nov 2021 08:09:05 GMT"",
<http://web.archive.org/web/20211127181113/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 27 Nov 2021 18:11:13 GMT"",
<http://web.archive.org/web/20211130215009/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Tue, 30 Nov 2021 21:50:09 GMT"",
<http://web.archive.org/web/20211201071102/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Wed, 01 Dec 2021 07:11:02 GMT"",
<http://web.archive.org/web/20211204203049/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 04 Dec 2021 20:30:49 GMT"",
<http://web.archive.org/web/20211211040536/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 11 Dec 2021 04:05:36 GMT"",
<http://web.archive.org/web/20211213103220/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Mon, 13 Dec 2021 10:32:20 GMT"",
<http://web.archive.org/web/20211213200809/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Mon, 13 Dec 2021 20:08:09 GMT"",
<http://web.archive.org/web/20211215141923/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Wed, 15 Dec 2021 14:19:23 GMT"",
<http://web.archive.org/web/20211217115420/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Fri, 17 Dec 2021 11:54:20 GMT"",
<http://web.archive.org/web/20211220025737/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Mon, 20 Dec 2021 02:57:37 GMT"",
<http://web.archive.org/web/20211220050353/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Mon, 20 Dec 2021 05:03:53 GMT"",
<http://web.archive.org/web/20211223183203/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Thu, 23 Dec 2021 18:32:03 GMT"",
<http://web.archive.org/web/20211224012430/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Fri, 24 Dec 2021 01:24:30 GMT"",
<http://web.archive.org/web/20211224171930/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Fri, 24 Dec 2021 17:19:30 GMT"",
<http://web.archive.org/web/20211224210559/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Fri, 24 Dec 2021 21:05:59 GMT"",
<http://web.archive.org/web/20211225030236/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 25 Dec 2021 03:02:36 GMT"",
<http://web.archive.org/web/20211225092056/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 25 Dec 2021 09:20:56 GMT"",
<http://web.archive.org/web/20211226112552/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sun, 26 Dec 2021 11:25:52 GMT"",
<http://web.archive.org/web/20211227060111/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Mon, 27 Dec 2021 06:01:11 GMT"",
<http://web.archive.org/web/20211227114442/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Mon, 27 Dec 2021 11:44:42 GMT"",
<http://web.archive.org/web/20211227160429/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Mon, 27 Dec 2021 16:04:29 GMT"",
<http://web.archive.org/web/20211228012005/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Tue, 28 Dec 2021 01:20:05 GMT"",
<http://web.archive.org/web/20211228154011/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Tue, 28 Dec 2021 15:40:11 GMT"",
<http://web.archive.org/web/20211228222421/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Tue, 28 Dec 2021 22:24:21 GMT"",
<http://web.archive.org/web/20211228222813/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Tue, 28 Dec 2021 22:28:13 GMT"",
<http://web.archive.org/web/20211229034746/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Wed, 29 Dec 2021 03:47:46 GMT"",
<http://web.archive.org/web/20220101065838/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 01 Jan 2022 06:58:38 GMT"",
<http://web.archive.org/web/20220108062206/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 08 Jan 2022 06:22:06 GMT"",
<http://web.archive.org/web/20220115105137/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc/>; rel=""memento""; datetime=""Sat, 15 Jan 2022 10:51:37 GMT"",
<http://web.archive.org/web/20220115134233/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 15 Jan 2022 13:42:33 GMT"",
<http://web.archive.org/web/20220115153723/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc/>; rel=""memento""; datetime=""Sat, 15 Jan 2022 15:37:23 GMT"",
<http://web.archive.org/web/20220115193540/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 15 Jan 2022 19:35:40 GMT"",
<http://web.archive.org/web/20220116081520/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc/>; rel=""memento""; datetime=""Sun, 16 Jan 2022 08:15:20 GMT"",
<http://web.archive.org/web/20220116135030/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc/>; rel=""memento""; datetime=""Sun, 16 Jan 2022 13:50:30 GMT"",
<http://web.archive.org/web/20220116135617/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc/>; rel=""memento""; datetime=""Sun, 16 Jan 2022 13:56:17 GMT"",
<http://web.archive.org/web/20220117143632/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc/>; rel=""memento""; datetime=""Mon, 17 Jan 2022 14:36:32 GMT"",
<http://web.archive.org/web/20220117173545/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc/>; rel=""memento""; datetime=""Mon, 17 Jan 2022 17:35:45 GMT"",
<http://web.archive.org/web/20220117174123/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc/>; rel=""memento""; datetime=""Mon, 17 Jan 2022 17:41:23 GMT"",
<http://web.archive.org/web/20220118060540/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc/>; rel=""memento""; datetime=""Tue, 18 Jan 2022 06:05:40 GMT"",
<http://web.archive.org/web/20220118061046/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc/>; rel=""memento""; datetime=""Tue, 18 Jan 2022 06:10:46 GMT"",
<http://web.archive.org/web/20220119213655/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc/>; rel=""memento""; datetime=""Wed, 19 Jan 2022 21:36:55 GMT"",
<http://web.archive.org/web/20220120015318/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc/>; rel=""memento""; datetime=""Thu, 20 Jan 2022 01:53:18 GMT"",
<http://web.archive.org/web/20220121024747/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Fri, 21 Jan 2022 02:47:47 GMT"",
<http://web.archive.org/web/20220121024754/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Fri, 21 Jan 2022 02:47:54 GMT"",
<http://web.archive.org/web/20220121024803/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Fri, 21 Jan 2022 02:48:03 GMT"",
<http://web.archive.org/web/20220121024813/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc/>; rel=""memento""; datetime=""Fri, 21 Jan 2022 02:48:13 GMT"",
<http://web.archive.org/web/20220121024820/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc/>; rel=""memento""; datetime=""Fri, 21 Jan 2022 02:48:20 GMT"",
<http://web.archive.org/web/20220121024829/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc/>; rel=""memento""; datetime=""Fri, 21 Jan 2022 02:48:29 GMT"",
<http://web.archive.org/web/20220121024837/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc/>; rel=""memento""; datetime=""Fri, 21 Jan 2022 02:48:37 GMT"",
<http://web.archive.org/web/20220121030350/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc/>; rel=""memento""; datetime=""Fri, 21 Jan 2022 03:03:50 GMT"",
<http://web.archive.org/web/20220121030358/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc/>; rel=""memento""; datetime=""Fri, 21 Jan 2022 03:03:58 GMT"",
<http://web.archive.org/web/20220121033413/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc/>; rel=""memento""; datetime=""Fri, 21 Jan 2022 03:34:13 GMT"",
<http://web.archive.org/web/20220121033421/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc/>; rel=""memento""; datetime=""Fri, 21 Jan 2022 03:34:21 GMT"",
<http://web.archive.org/web/20220121033428/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc/>; rel=""memento""; datetime=""Fri, 21 Jan 2022 03:34:28 GMT"",
<http://web.archive.org/web/20220121033435/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc/>; rel=""memento""; datetime=""Fri, 21 Jan 2022 03:34:35 GMT"",
<http://web.archive.org/web/20220121033443/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc/>; rel=""memento""; datetime=""Fri, 21 Jan 2022 03:34:43 GMT"",
<http://web.archive.org/web/20220122072011/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 22 Jan 2022 07:20:11 GMT"",
<http://web.archive.org/web/20220125082729/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc/>; rel=""memento""; datetime=""Tue, 25 Jan 2022 08:27:29 GMT"",
<http://web.archive.org/web/20220129114610/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 29 Jan 2022 11:46:10 GMT"",
<http://web.archive.org/web/20220205173306/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 05 Feb 2022 17:33:06 GMT"",
<http://web.archive.org/web/20220205232854/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 05 Feb 2022 23:28:54 GMT"",
<http://web.archive.org/web/20220210213732/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Thu, 10 Feb 2022 21:37:32 GMT"",
<http://web.archive.org/web/20220211165515/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Fri, 11 Feb 2022 16:55:15 GMT"",
<http://web.archive.org/web/20220211223559/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Fri, 11 Feb 2022 22:35:59 GMT"",
<http://web.archive.org/web/20220214165538/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Mon, 14 Feb 2022 16:55:38 GMT"",
<http://web.archive.org/web/20220219070127/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 19 Feb 2022 07:01:27 GMT"",
<http://web.archive.org/web/20220224182629/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Thu, 24 Feb 2022 18:26:29 GMT"",
<http://web.archive.org/web/20220224220713/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Thu, 24 Feb 2022 22:07:13 GMT"",
<http://web.archive.org/web/20220225000752/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Fri, 25 Feb 2022 00:07:52 GMT"",
<http://web.archive.org/web/20220225203909/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Fri, 25 Feb 2022 20:39:09 GMT"",
<http://web.archive.org/web/20220303140933/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Thu, 03 Mar 2022 14:09:33 GMT"",
<http://web.archive.org/web/20220312073314/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 12 Mar 2022 07:33:14 GMT"",
<http://web.archive.org/web/20220322234959/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Tue, 22 Mar 2022 23:49:59 GMT"",
<http://web.archive.org/web/20220406112330/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Wed, 06 Apr 2022 11:23:30 GMT"",
<http://web.archive.org/web/20220409075821/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 09 Apr 2022 07:58:21 GMT"",
<http://web.archive.org/web/20220415162317/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc/>; rel=""memento""; datetime=""Fri, 15 Apr 2022 16:23:17 GMT"",
<http://web.archive.org/web/20220417135933/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sun, 17 Apr 2022 13:59:33 GMT"",
<http://web.archive.org/web/20220423070508/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 23 Apr 2022 07:05:08 GMT"",
<http://web.archive.org/web/20220430083839/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 30 Apr 2022 08:38:39 GMT"",
<http://web.archive.org/web/20220507134738/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 07 May 2022 13:47:38 GMT"",
<http://web.archive.org/web/20220514202640/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 14 May 2022 20:26:40 GMT"",
<http://web.archive.org/web/20220516105019/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Mon, 16 May 2022 10:50:19 GMT"",
<http://web.archive.org/web/20220523120832/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Mon, 23 May 2022 12:08:32 GMT"",
<http://web.archive.org/web/20220523120836/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Mon, 23 May 2022 12:08:36 GMT"",
<http://web.archive.org/web/20220524032358/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Tue, 24 May 2022 03:23:58 GMT"",
<http://web.archive.org/web/20220527215948/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Fri, 27 May 2022 21:59:48 GMT"",
<http://web.archive.org/web/20220528122946/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 28 May 2022 12:29:46 GMT"",
<http://web.archive.org/web/20220531134836/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Tue, 31 May 2022 13:48:36 GMT"",
<http://web.archive.org/web/20220604104610/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 04 Jun 2022 10:46:10 GMT"",
<http://web.archive.org/web/20220630144320/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Thu, 30 Jun 2022 14:43:20 GMT"",
<http://web.archive.org/web/20220705220159/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc/>; rel=""memento""; datetime=""Tue, 05 Jul 2022 22:01:59 GMT"",
<http://web.archive.org/web/20220706035127/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Wed, 06 Jul 2022 03:51:27 GMT"",
<http://web.archive.org/web/20220706042954/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Wed, 06 Jul 2022 04:29:54 GMT"",
<http://web.archive.org/web/20220723091027/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 23 Jul 2022 09:10:27 GMT"",
<http://web.archive.org/web/20220728160035/http://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Thu, 28 Jul 2022 16:00:35 GMT"",
<http://web.archive.org/web/20220809075523/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc/>; rel=""memento""; datetime=""Tue, 09 Aug 2022 07:55:23 GMT"",
<http://web.archive.org/web/20220813034754/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 13 Aug 2022 03:47:54 GMT"",
<http://web.archive.org/web/20220818225143/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Thu, 18 Aug 2022 22:51:43 GMT"",
<http://web.archive.org/web/20220822215659/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Mon, 22 Aug 2022 21:56:59 GMT"",
<http://web.archive.org/web/20220825193431/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Thu, 25 Aug 2022 19:34:31 GMT"",
<http://web.archive.org/web/20220827202357/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 27 Aug 2022 20:23:57 GMT"",
<http://web.archive.org/web/20220910201710/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 10 Sep 2022 20:17:10 GMT"",
<http://web.archive.org/web/20220916215653/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Fri, 16 Sep 2022 21:56:53 GMT"",
<http://web.archive.org/web/20220917004638/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 17 Sep 2022 00:46:38 GMT"",
<http://web.archive.org/web/20221007205239/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Fri, 07 Oct 2022 20:52:39 GMT"",
<http://web.archive.org/web/20221105060534/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 05 Nov 2022 06:05:34 GMT"",
<http://web.archive.org/web/20221108212657/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Tue, 08 Nov 2022 21:26:57 GMT"",
<http://web.archive.org/web/20221112173945/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 12 Nov 2022 17:39:45 GMT"",
<http://web.archive.org/web/20221115205257/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Tue, 15 Nov 2022 20:52:57 GMT"",
<http://web.archive.org/web/20221117201141/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Thu, 17 Nov 2022 20:11:41 GMT"",
<http://web.archive.org/web/20221119203006/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 19 Nov 2022 20:30:06 GMT"",
<http://web.archive.org/web/20221130040459/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc/>; rel=""memento""; datetime=""Wed, 30 Nov 2022 04:04:59 GMT"",
<http://web.archive.org/web/20221201132840/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Thu, 01 Dec 2022 13:28:40 GMT"",
<http://web.archive.org/web/20221217200655/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 17 Dec 2022 20:06:55 GMT"",
<http://web.archive.org/web/20221219151626/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Mon, 19 Dec 2022 15:16:26 GMT"",
<http://web.archive.org/web/20230109235220/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Mon, 09 Jan 2023 23:52:20 GMT"",
<http://web.archive.org/web/20230205172029/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sun, 05 Feb 2023 17:20:29 GMT"",
<http://web.archive.org/web/20230208101113/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Wed, 08 Feb 2023 10:11:13 GMT"",
<http://web.archive.org/web/20230210072733/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Fri, 10 Feb 2023 07:27:33 GMT"",
<http://web.archive.org/web/20230212135455/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sun, 12 Feb 2023 13:54:55 GMT"",
<http://web.archive.org/web/20230212135502/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sun, 12 Feb 2023 13:55:02 GMT"",
<http://web.archive.org/web/20230216003337/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Thu, 16 Feb 2023 00:33:37 GMT"",
<http://web.archive.org/web/20230307051451/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Tue, 07 Mar 2023 05:14:51 GMT"",
<http://web.archive.org/web/20230309221051/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Thu, 09 Mar 2023 22:10:51 GMT"",
<http://web.archive.org/web/20230314175906/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Tue, 14 Mar 2023 17:59:06 GMT"",
<http://web.archive.org/web/20230314202845/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Tue, 14 Mar 2023 20:28:45 GMT"",
<http://web.archive.org/web/20230316201409/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Thu, 16 Mar 2023 20:14:09 GMT"",
<http://web.archive.org/web/20230328115927/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc/>; rel=""memento""; datetime=""Tue, 28 Mar 2023 11:59:27 GMT"",
<http://web.archive.org/web/20230329180849/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Wed, 29 Mar 2023 18:08:49 GMT"",
<http://web.archive.org/web/20230409154405/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sun, 09 Apr 2023 15:44:05 GMT"",
<http://web.archive.org/web/20230411111948/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Tue, 11 Apr 2023 11:19:48 GMT"",
<http://web.archive.org/web/20230415140912/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 15 Apr 2023 14:09:12 GMT"",
<http://web.archive.org/web/20230509150602/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Tue, 09 May 2023 15:06:02 GMT"",
<http://web.archive.org/web/20230524124016/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Wed, 24 May 2023 12:40:16 GMT"",
<http://web.archive.org/web/20230528031050/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sun, 28 May 2023 03:10:50 GMT"",
<http://web.archive.org/web/20230531225224/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Wed, 31 May 2023 22:52:24 GMT"",
<http://web.archive.org/web/20230609092248/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc/>; rel=""memento""; datetime=""Fri, 09 Jun 2023 09:22:48 GMT"",
<http://web.archive.org/web/20230610131949/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 10 Jun 2023 13:19:49 GMT"",
<http://web.archive.org/web/20230701073449/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 01 Jul 2023 07:34:49 GMT"",
<http://web.archive.org/web/20230712024113/http://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Wed, 12 Jul 2023 02:41:13 GMT"",
<http://web.archive.org/web/20230712024114/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Wed, 12 Jul 2023 02:41:14 GMT"",
<http://web.archive.org/web/20230715195322/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 15 Jul 2023 19:53:22 GMT"",
<http://web.archive.org/web/20230921222955/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Thu, 21 Sep 2023 22:29:55 GMT"",
<http://web.archive.org/web/20230921223001/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Thu, 21 Sep 2023 22:30:01 GMT"",
<http://web.archive.org/web/20230930045710/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 30 Sep 2023 04:57:10 GMT"",
<http://web.archive.org/web/20231006095840/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Fri, 06 Oct 2023 09:58:40 GMT"",
<http://web.archive.org/web/20231110225417/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Fri, 10 Nov 2023 22:54:17 GMT"",
<http://web.archive.org/web/20231127113949/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Mon, 27 Nov 2023 11:39:49 GMT"",
<http://web.archive.org/web/20231128055914/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Tue, 28 Nov 2023 05:59:14 GMT"",
<http://web.archive.org/web/20231128153953/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Tue, 28 Nov 2023 15:39:53 GMT"",
<http://web.archive.org/web/20231202183709/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc/>; rel=""memento""; datetime=""Sat, 02 Dec 2023 18:37:09 GMT"",
<http://web.archive.org/web/20231208223504/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Fri, 08 Dec 2023 22:35:04 GMT"",
<http://web.archive.org/web/20231221193705/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Thu, 21 Dec 2023 19:37:05 GMT"",
<http://web.archive.org/web/20231221193705/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Thu, 21 Dec 2023 19:37:05 GMT"",
<http://web.archive.org/web/20231224182339/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sun, 24 Dec 2023 18:23:39 GMT"",
<http://web.archive.org/web/20240201061325/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Thu, 01 Feb 2024 06:13:25 GMT"",
<http://web.archive.org/web/20240216105257/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Fri, 16 Feb 2024 10:52:57 GMT"",
<http://web.archive.org/web/20240217000423/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 17 Feb 2024 00:04:23 GMT"",
<http://web.archive.org/web/20240224164702/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 24 Feb 2024 16:47:02 GMT"",
<http://web.archive.org/web/20240324060140/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sun, 24 Mar 2024 06:01:40 GMT"",
<http://web.archive.org/web/20240402014049/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Tue, 02 Apr 2024 01:40:49 GMT"",
<http://web.archive.org/web/20240415095350/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc/>; rel=""memento""; datetime=""Mon, 15 Apr 2024 09:53:50 GMT"",
<http://web.archive.org/web/20240420170559/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 20 Apr 2024 17:05:59 GMT"",
<http://web.archive.org/web/20240521000208/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Tue, 21 May 2024 00:02:08 GMT"",
<http://web.archive.org/web/20240521043349/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc/>; rel=""memento""; datetime=""Tue, 21 May 2024 04:33:49 GMT"",
<http://web.archive.org/web/20240526210059/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sun, 26 May 2024 21:00:59 GMT"",
<http://web.archive.org/web/20240621141929/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Fri, 21 Jun 2024 14:19:29 GMT"",
<http://web.archive.org/web/20240628104205/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Fri, 28 Jun 2024 10:42:05 GMT"",
<http://web.archive.org/web/20240702110934/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc/>; rel=""memento""; datetime=""Tue, 02 Jul 2024 11:09:34 GMT"",
<http://web.archive.org/web/20240702110943/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Tue, 02 Jul 2024 11:09:43 GMT"",
<http://web.archive.org/web/20240704105407/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc/>; rel=""memento""; datetime=""Thu, 04 Jul 2024 10:54:07 GMT"",
<http://web.archive.org/web/20240704105415/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Thu, 04 Jul 2024 10:54:15 GMT"",
<http://web.archive.org/web/20240708085609/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Mon, 08 Jul 2024 08:56:09 GMT"",
<http://web.archive.org/web/20240803162135/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 03 Aug 2024 16:21:35 GMT"",
<http://web.archive.org/web/20240907105707/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 07 Sep 2024 10:57:07 GMT"",
<http://web.archive.org/web/20240918060517/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Wed, 18 Sep 2024 06:05:17 GMT"",
<http://web.archive.org/web/20240928230124/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 28 Sep 2024 23:01:24 GMT"",
<http://web.archive.org/web/20241009073801/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Wed, 09 Oct 2024 07:38:01 GMT"",
<http://web.archive.org/web/20241106230042/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Wed, 06 Nov 2024 23:00:42 GMT"",
<http://web.archive.org/web/20241107163116/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Thu, 07 Nov 2024 16:31:16 GMT"",
<http://web.archive.org/web/20241113021807/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc/>; rel=""memento""; datetime=""Wed, 13 Nov 2024 02:18:07 GMT"",
<http://web.archive.org/web/20241125052915/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Mon, 25 Nov 2024 05:29:15 GMT"",
<http://web.archive.org/web/20241125212756/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Mon, 25 Nov 2024 21:27:56 GMT"",
<http://web.archive.org/web/20241128151910/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Thu, 28 Nov 2024 15:19:10 GMT"",
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<http://web.archive.org/web/20250106200740/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Mon, 06 Jan 2025 20:07:40 GMT"",
<http://web.archive.org/web/20250107104247/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Tue, 07 Jan 2025 10:42:47 GMT"",
<http://web.archive.org/web/20250116124918/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Thu, 16 Jan 2025 12:49:18 GMT"",
<http://web.archive.org/web/20250119141620/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sun, 19 Jan 2025 14:16:20 GMT"",
<http://web.archive.org/web/20250122013525/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Wed, 22 Jan 2025 01:35:25 GMT"",
<http://web.archive.org/web/20250126113012/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sun, 26 Jan 2025 11:30:12 GMT"",
<http://web.archive.org/web/20250201010804/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 01 Feb 2025 01:08:04 GMT"",
<http://web.archive.org/web/20250201211821/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 01 Feb 2025 21:18:21 GMT"",
<http://web.archive.org/web/20250204143717/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Tue, 04 Feb 2025 14:37:17 GMT"",
<http://web.archive.org/web/20250207104304/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Fri, 07 Feb 2025 10:43:04 GMT"",
<http://web.archive.org/web/20250208002218/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Sat, 08 Feb 2025 00:22:18 GMT"",
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<http://web.archive.org/web/20250210142930/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Mon, 10 Feb 2025 14:29:30 GMT"",
<http://web.archive.org/web/20250210142936/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc>; rel=""memento""; datetime=""Mon, 10 Feb 2025 14:29:36 GMT"",
<http://web.archive.org/web/20250210142937/https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc/>; rel=""memento""; datetime=""Mon, 10 Feb 2025 14:29:37 GMT""
","{'name': 'COVID-19 Vaccinations in the United States,Jurisdiction', 'id': 'unsk-b7fc', 'description': 'Overall US COVID-19 Vaccine\xa0deliveries and\xa0administration\xa0data at national and jurisdiction level. Data represents all vaccine partners including jurisdictional partner clinics, retail pharmacies, long-term care facilities, dialysis centers, Federal Emergency Management Agency and Health Resources and Services Administration partner sites, and federal entity facilities.\xa0', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc'}"
COVID-19 Vaccine Distribution Allocations by Jurisdiction - Janssen,w9zu-fywh,w9zu-fywh_1736707092.693516_COVID-19_Vaccine_Distribution_Allocations_by_Jurisdiction_-_Janssen_20250112.csv.gz,2025-01-12 18:38:12 UTC,https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh,"New weekly allocations of doses are posted every Tuesday.  Beginning the following Thursday, states can begin ordering doses from that week’s new allocation of 1st doses.  Beginning two weeks (Pfizer) or three weeks (Moderna) from the following Sunday, states can begin ordering doses from that week’s new allocation of 2nd doses. After doses are ordered by states, shipments begin the following Monday. The entire order may not arrive in one shipment or on one day, but over the course of the week.

Second doses are opened up for orders on Sundays, at the appropriate interval two or three weeks later according to the manufacturer’s label, with shipments occurring after jurisdictions place orders. 

Shipments of an FDA-authorized safe and effective COVID-19 vaccine continue to arrive at sites across America. Vaccinations began on December 14, 2020. 

https://www.hhs.gov/coronavirus/covid-19-vaccines/index.html

Pfizer Vaccine Data - https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Initial-Allocations-Pfizer/saz5-9hgg

Moderna Vaccine Data- https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws","<https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""original"",
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<http://web.archive.org/web/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""timegate"",
<http://web.archive.org/web/20210301233541/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""first memento""; datetime=""Mon, 01 Mar 2021 23:35:41 GMT"",
<http://web.archive.org/web/20210302013823/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Tue, 02 Mar 2021 01:38:23 GMT"",
<http://web.archive.org/web/20210302101018/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Tue, 02 Mar 2021 10:10:18 GMT"",
<http://web.archive.org/web/20210303003428/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Wed, 03 Mar 2021 00:34:28 GMT"",
<http://web.archive.org/web/20210303182104/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Wed, 03 Mar 2021 18:21:04 GMT"",
<http://web.archive.org/web/20210303192404/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Wed, 03 Mar 2021 19:24:04 GMT"",
<http://web.archive.org/web/20210303195044/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Wed, 03 Mar 2021 19:50:44 GMT"",
<http://web.archive.org/web/20210303205231/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Wed, 03 Mar 2021 20:52:31 GMT"",
<http://web.archive.org/web/20210303210751/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Wed, 03 Mar 2021 21:07:51 GMT"",
<http://web.archive.org/web/20210303215432/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Wed, 03 Mar 2021 21:54:32 GMT"",
<http://web.archive.org/web/20210303225113/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Wed, 03 Mar 2021 22:51:13 GMT"",
<http://web.archive.org/web/20210303232122/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Wed, 03 Mar 2021 23:21:22 GMT"",
<http://web.archive.org/web/20210304155452/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Thu, 04 Mar 2021 15:54:52 GMT"",
<http://web.archive.org/web/20210305223743/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Fri, 05 Mar 2021 22:37:43 GMT"",
<http://web.archive.org/web/20210308215500/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Mon, 08 Mar 2021 21:55:00 GMT"",
<http://web.archive.org/web/20210310044752/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Wed, 10 Mar 2021 04:47:52 GMT"",
<http://web.archive.org/web/20210318050133/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Thu, 18 Mar 2021 05:01:33 GMT"",
<http://web.archive.org/web/20210322212647/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Mon, 22 Mar 2021 21:26:47 GMT"",
<http://web.archive.org/web/20210401180151/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Thu, 01 Apr 2021 18:01:51 GMT"",
<http://web.archive.org/web/20210407182322/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Wed, 07 Apr 2021 18:23:22 GMT"",
<http://web.archive.org/web/20210409052032/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Fri, 09 Apr 2021 05:20:32 GMT"",
<http://web.archive.org/web/20210409212410/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Fri, 09 Apr 2021 21:24:10 GMT"",
<http://web.archive.org/web/20210409230618/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Fri, 09 Apr 2021 23:06:18 GMT"",
<http://web.archive.org/web/20210409233717/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Fri, 09 Apr 2021 23:37:17 GMT"",
<http://web.archive.org/web/20210410000714/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Sat, 10 Apr 2021 00:07:14 GMT"",
<http://web.archive.org/web/20210410000743/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Sat, 10 Apr 2021 00:07:43 GMT"",
<http://web.archive.org/web/20210410002301/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Sat, 10 Apr 2021 00:23:01 GMT"",
<http://web.archive.org/web/20210410003820/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Sat, 10 Apr 2021 00:38:20 GMT"",
<http://web.archive.org/web/20210410005343/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Sat, 10 Apr 2021 00:53:43 GMT"",
<http://web.archive.org/web/20210410010855/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Sat, 10 Apr 2021 01:08:55 GMT"",
<http://web.archive.org/web/20210410011910/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Sat, 10 Apr 2021 01:19:10 GMT"",
<http://web.archive.org/web/20210410015438/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Sat, 10 Apr 2021 01:54:38 GMT"",
<http://web.archive.org/web/20210410015441/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Sat, 10 Apr 2021 01:54:41 GMT"",
<http://web.archive.org/web/20210410020504/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Sat, 10 Apr 2021 02:05:04 GMT"",
<http://web.archive.org/web/20210410022020/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Sat, 10 Apr 2021 02:20:20 GMT"",
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<http://web.archive.org/web/20210410032102/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Sat, 10 Apr 2021 03:21:02 GMT"",
<http://web.archive.org/web/20210410033622/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Sat, 10 Apr 2021 03:36:22 GMT"",
<http://web.archive.org/web/20210410035137/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Sat, 10 Apr 2021 03:51:37 GMT"",
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<http://web.archive.org/web/20210410043717/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Sat, 10 Apr 2021 04:37:17 GMT"",
<http://web.archive.org/web/20210412022608/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Mon, 12 Apr 2021 02:26:08 GMT"",
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<http://web.archive.org/web/20210513200029/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Thu, 13 May 2021 20:00:29 GMT"",
<http://web.archive.org/web/20210513200122/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Thu, 13 May 2021 20:01:22 GMT"",
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<http://web.archive.org/web/20210513200438/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Thu, 13 May 2021 20:04:38 GMT"",
<http://web.archive.org/web/20210513200716/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Thu, 13 May 2021 20:07:16 GMT"",
<http://web.archive.org/web/20210606112709/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Sun, 06 Jun 2021 11:27:09 GMT"",
<http://web.archive.org/web/20210627190132/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Sun, 27 Jun 2021 19:01:32 GMT"",
<http://web.archive.org/web/20210716010045/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Fri, 16 Jul 2021 01:00:45 GMT"",
<http://web.archive.org/web/20210720120754/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Tue, 20 Jul 2021 12:07:54 GMT"",
<http://web.archive.org/web/20210720120757/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Tue, 20 Jul 2021 12:07:57 GMT"",
<http://web.archive.org/web/20210726085347/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Mon, 26 Jul 2021 08:53:47 GMT"",
<http://web.archive.org/web/20210730010151/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Fri, 30 Jul 2021 01:01:51 GMT"",
<http://web.archive.org/web/20210812122914/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Thu, 12 Aug 2021 12:29:14 GMT"",
<http://web.archive.org/web/20210812123117/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Thu, 12 Aug 2021 12:31:17 GMT"",
<http://web.archive.org/web/20210823182024/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Mon, 23 Aug 2021 18:20:24 GMT"",
<http://web.archive.org/web/20210927134420/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Mon, 27 Sep 2021 13:44:20 GMT"",
<http://web.archive.org/web/20211020103619/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Wed, 20 Oct 2021 10:36:19 GMT"",
<http://web.archive.org/web/20211104223114/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Thu, 04 Nov 2021 22:31:14 GMT"",
<http://web.archive.org/web/20211124173342/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Wed, 24 Nov 2021 17:33:42 GMT"",
<http://web.archive.org/web/20211227090941/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Mon, 27 Dec 2021 09:09:41 GMT"",
<http://web.archive.org/web/20211227213935/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Mon, 27 Dec 2021 21:39:35 GMT"",
<http://web.archive.org/web/20220122132520/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Sat, 22 Jan 2022 13:25:20 GMT"",
<http://web.archive.org/web/20220125023931/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Tue, 25 Jan 2022 02:39:31 GMT"",
<http://web.archive.org/web/20220126172437/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Wed, 26 Jan 2022 17:24:37 GMT"",
<http://web.archive.org/web/20220203073152/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Thu, 03 Feb 2022 07:31:52 GMT"",
<http://web.archive.org/web/20220309151122/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Wed, 09 Mar 2022 15:11:22 GMT"",
<http://web.archive.org/web/20220311032352/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Fri, 11 Mar 2022 03:23:52 GMT"",
<http://web.archive.org/web/20220516222440/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Mon, 16 May 2022 22:24:40 GMT"",
<http://web.archive.org/web/20220705215749/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Tue, 05 Jul 2022 21:57:49 GMT"",
<http://web.archive.org/web/20220926070416/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Mon, 26 Sep 2022 07:04:16 GMT"",
<http://web.archive.org/web/20220926070421/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Mon, 26 Sep 2022 07:04:21 GMT"",
<http://web.archive.org/web/20221016084530/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Sun, 16 Oct 2022 08:45:30 GMT"",
<http://web.archive.org/web/20221119164643/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Sat, 19 Nov 2022 16:46:43 GMT"",
<http://web.archive.org/web/20221130035919/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Wed, 30 Nov 2022 03:59:19 GMT"",
<http://web.archive.org/web/20221221234348/http://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Wed, 21 Dec 2022 23:43:48 GMT"",
<http://web.archive.org/web/20230226004343/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Sun, 26 Feb 2023 00:43:43 GMT"",
<http://web.archive.org/web/20230325141307/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Sat, 25 Mar 2023 14:13:07 GMT"",
<http://web.archive.org/web/20230519193552/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Fri, 19 May 2023 19:35:52 GMT"",
<http://web.archive.org/web/20230810222538/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Thu, 10 Aug 2023 22:25:38 GMT"",
<http://web.archive.org/web/20230810223249/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Thu, 10 Aug 2023 22:32:49 GMT"",
<http://web.archive.org/web/20230911071934/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Mon, 11 Sep 2023 07:19:34 GMT"",
<http://web.archive.org/web/20230924205031/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Sun, 24 Sep 2023 20:50:31 GMT"",
<http://web.archive.org/web/20231001102715/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Sun, 01 Oct 2023 10:27:15 GMT"",
<http://web.archive.org/web/20240223135906/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Fri, 23 Feb 2024 13:59:06 GMT"",
<http://web.archive.org/web/20240325140536/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Mon, 25 Mar 2024 14:05:36 GMT"",
<http://web.archive.org/web/20240510190350/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Fri, 10 May 2024 19:03:50 GMT"",
<http://web.archive.org/web/20240513145823/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Mon, 13 May 2024 14:58:23 GMT"",
<http://web.archive.org/web/20240514154856/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Tue, 14 May 2024 15:48:56 GMT"",
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<http://web.archive.org/web/20240517163851/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Fri, 17 May 2024 16:38:51 GMT"",
<http://web.archive.org/web/20240522163139/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Wed, 22 May 2024 16:31:39 GMT"",
<http://web.archive.org/web/20240528164029/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Tue, 28 May 2024 16:40:29 GMT"",
<http://web.archive.org/web/20240606175306/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Thu, 06 Jun 2024 17:53:06 GMT"",
<http://web.archive.org/web/20240611192452/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Tue, 11 Jun 2024 19:24:52 GMT"",
<http://web.archive.org/web/20240612201048/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Wed, 12 Jun 2024 20:10:48 GMT"",
<http://web.archive.org/web/20240614025714/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Fri, 14 Jun 2024 02:57:14 GMT"",
<http://web.archive.org/web/20240618225853/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Tue, 18 Jun 2024 22:58:53 GMT"",
<http://web.archive.org/web/20240620204703/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Thu, 20 Jun 2024 20:47:03 GMT"",
<http://web.archive.org/web/20240627192936/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Thu, 27 Jun 2024 19:29:36 GMT"",
<http://web.archive.org/web/20240701173558/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Mon, 01 Jul 2024 17:35:58 GMT"",
<http://web.archive.org/web/20240701195425/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Mon, 01 Jul 2024 19:54:25 GMT"",
<http://web.archive.org/web/20240702200054/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Tue, 02 Jul 2024 20:00:54 GMT"",
<http://web.archive.org/web/20240709140956/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Tue, 09 Jul 2024 14:09:56 GMT"",
<http://web.archive.org/web/20240710163128/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Wed, 10 Jul 2024 16:31:28 GMT"",
<http://web.archive.org/web/20240910104555/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Tue, 10 Sep 2024 10:45:55 GMT"",
<http://web.archive.org/web/20240917174353/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Tue, 17 Sep 2024 17:43:53 GMT"",
<http://web.archive.org/web/20240921091656/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Sat, 21 Sep 2024 09:16:56 GMT"",
<http://web.archive.org/web/20240927011750/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Fri, 27 Sep 2024 01:17:50 GMT"",
<http://web.archive.org/web/20241014174115/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Mon, 14 Oct 2024 17:41:15 GMT"",
<http://web.archive.org/web/20241108013712/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Fri, 08 Nov 2024 01:37:12 GMT"",
<http://web.archive.org/web/20241125041223/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Mon, 25 Nov 2024 04:12:23 GMT"",
<http://web.archive.org/web/20241125061417/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Mon, 25 Nov 2024 06:14:17 GMT"",
<http://web.archive.org/web/20241129032932/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Fri, 29 Nov 2024 03:29:32 GMT"",
<http://web.archive.org/web/20241204122634/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Wed, 04 Dec 2024 12:26:34 GMT"",
<http://web.archive.org/web/20250118074116/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Sat, 18 Jan 2025 07:41:16 GMT"",
<http://web.archive.org/web/20250130180906/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Thu, 30 Jan 2025 18:09:06 GMT"",
<http://web.archive.org/web/20250131211127/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Fri, 31 Jan 2025 21:11:27 GMT"",
<http://web.archive.org/web/20250201044227/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Sat, 01 Feb 2025 04:42:27 GMT"",
<http://web.archive.org/web/20250201204805/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Sat, 01 Feb 2025 20:48:05 GMT"",
<http://web.archive.org/web/20250202002534/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Sun, 02 Feb 2025 00:25:34 GMT"",
<http://web.archive.org/web/20250203204542/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Mon, 03 Feb 2025 20:45:42 GMT"",
<http://web.archive.org/web/20250206065523/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh/>; rel=""memento""; datetime=""Thu, 06 Feb 2025 06:55:23 GMT"",
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<http://web.archive.org/web/20250208061101/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh>; rel=""memento""; datetime=""Sat, 08 Feb 2025 06:11:01 GMT""
","{'name': 'COVID-19 Vaccine Distribution Allocations by Jurisdiction - Janssen', 'id': 'w9zu-fywh', 'description': 'New weekly allocations of doses are posted every Tuesday.  Beginning the following Thursday, states can begin ordering doses from that week’s new allocation of 1st doses.  Beginning two weeks (Pfizer) or three weeks (Moderna) from the following Sunday, states can begin ordering doses from that week’s new allocation of 2nd doses. After doses are ordered by states, shipments begin the following Monday. The entire order may not arrive in one shipment or on one day, but over the course of the week.\n\nSecond doses are opened up for orders on Sundays, at the appropriate interval two or three weeks later according to the manufacturer’s label, with shipments occurring after jurisdictions place orders. \n\nShipments of an FDA-authorized safe and effective COVID-19 vaccine continue to arrive at sites across America. Vaccinations began on December 14, 2020. \n\nhttps://www.hhs.gov/coronavirus/covid-19-vaccines/index.html\n\nPfizer Vaccine Data - https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Initial-Allocations-Pfizer/saz5-9hgg\n\nModerna Vaccine Data- https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws', 'datatype': 'tabular', 'keywords': ['demographics', 'finance', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh'}"
COVID-19 Vaccine Distribution Allocations by Jurisdiction - Moderna,b7pe-5nws,b7pe-5nws_1736707203.186864_COVID-19_Vaccine_Distribution_Allocations_by_Jurisdiction_-_Moderna_20250112.csv.gz,2025-01-12 18:40:03 UTC,https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws,"New weekly allocations of doses are posted every Tuesday.  Beginning the following Thursday, states can begin ordering doses from that week’s new allocation of 1st doses.  Beginning two weeks (Pfizer) or three weeks (Moderna) from the following Sunday, states can begin ordering doses from that week’s new allocation of 2nd doses. After doses are ordered by states, shipments begin the following Monday. The entire order may not arrive in one shipment or on one day, but over the course of the week.

Second doses are opened up for orders on Sundays, at the appropriate interval two or three weeks later according to the manufacturer’s label, with shipments occurring after jurisdictions place orders. 

Shipments of an FDA-authorized safe and effective COVID-19 vaccine continue to arrive at sites across America. Vaccinations began on December 14, 2020. 

https://www.hhs.gov/coronavirus/covid-19-vaccines/index.html

Pfizer Vaccine Data - https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Initial-Allocations-Pfizer/saz5-9hgg

Janssen Vaccine Data - https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh","<https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""original"",
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<http://web.archive.org/web/20210101162453/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Fri, 01 Jan 2021 16:24:53 GMT"",
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<http://web.archive.org/web/20220125092031/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Tue, 25 Jan 2022 09:20:31 GMT"",
<http://web.archive.org/web/20220309150933/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Wed, 09 Mar 2022 15:09:33 GMT"",
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<http://web.archive.org/web/20220701052231/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Fri, 01 Jul 2022 05:22:31 GMT"",
<http://web.archive.org/web/20220713220331/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Wed, 13 Jul 2022 22:03:31 GMT"",
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<http://web.archive.org/web/20221005184704/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Wed, 05 Oct 2022 18:47:04 GMT"",
<http://web.archive.org/web/20221006142450/http://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Thu, 06 Oct 2022 14:24:50 GMT"",
<http://web.archive.org/web/20221016084511/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Sun, 16 Oct 2022 08:45:11 GMT"",
<http://web.archive.org/web/20221119164544/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Sat, 19 Nov 2022 16:45:44 GMT"",
<http://web.archive.org/web/20230209062157/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Thu, 09 Feb 2023 06:21:57 GMT"",
<http://web.archive.org/web/20230226004256/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Sun, 26 Feb 2023 00:42:56 GMT"",
<http://web.archive.org/web/20230519193453/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Fri, 19 May 2023 19:34:53 GMT"",
<http://web.archive.org/web/20230519193611/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Fri, 19 May 2023 19:36:11 GMT"",
<http://web.archive.org/web/20230606063343/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Tue, 06 Jun 2023 06:33:43 GMT"",
<http://web.archive.org/web/20230810222537/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Thu, 10 Aug 2023 22:25:37 GMT"",
<http://web.archive.org/web/20230810223250/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Thu, 10 Aug 2023 22:32:50 GMT"",
<http://web.archive.org/web/20230924195544/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Sun, 24 Sep 2023 19:55:44 GMT"",
<http://web.archive.org/web/20231001103145/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Sun, 01 Oct 2023 10:31:45 GMT"",
<http://web.archive.org/web/20231202184003/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Sat, 02 Dec 2023 18:40:03 GMT"",
<http://web.archive.org/web/20240510190355/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Fri, 10 May 2024 19:03:55 GMT"",
<http://web.archive.org/web/20240513145838/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Mon, 13 May 2024 14:58:38 GMT"",
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<http://web.archive.org/web/20240517163856/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Fri, 17 May 2024 16:38:56 GMT"",
<http://web.archive.org/web/20240520102236/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Mon, 20 May 2024 10:22:36 GMT"",
<http://web.archive.org/web/20240522163202/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Wed, 22 May 2024 16:32:02 GMT"",
<http://web.archive.org/web/20240528164044/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Tue, 28 May 2024 16:40:44 GMT"",
<http://web.archive.org/web/20240606175311/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Thu, 06 Jun 2024 17:53:11 GMT"",
<http://web.archive.org/web/20240611192503/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Tue, 11 Jun 2024 19:25:03 GMT"",
<http://web.archive.org/web/20240612201054/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Wed, 12 Jun 2024 20:10:54 GMT"",
<http://web.archive.org/web/20240618225914/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Tue, 18 Jun 2024 22:59:14 GMT"",
<http://web.archive.org/web/20240620204735/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Thu, 20 Jun 2024 20:47:35 GMT"",
<http://web.archive.org/web/20240627193105/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Thu, 27 Jun 2024 19:31:05 GMT"",
<http://web.archive.org/web/20240701173740/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Mon, 01 Jul 2024 17:37:40 GMT"",
<http://web.archive.org/web/20240701195643/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Mon, 01 Jul 2024 19:56:43 GMT"",
<http://web.archive.org/web/20240702200116/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Tue, 02 Jul 2024 20:01:16 GMT"",
<http://web.archive.org/web/20240709140821/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Tue, 09 Jul 2024 14:08:21 GMT"",
<http://web.archive.org/web/20240710163426/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Wed, 10 Jul 2024 16:34:26 GMT"",
<http://web.archive.org/web/20240913152628/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Fri, 13 Sep 2024 15:26:28 GMT"",
<http://web.archive.org/web/20240916210528/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Mon, 16 Sep 2024 21:05:28 GMT"",
<http://web.archive.org/web/20240921091650/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Sat, 21 Sep 2024 09:16:50 GMT"",
<http://web.archive.org/web/20240926204928/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Thu, 26 Sep 2024 20:49:28 GMT"",
<http://web.archive.org/web/20241014174108/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Mon, 14 Oct 2024 17:41:08 GMT"",
<http://web.archive.org/web/20241108013708/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Fri, 08 Nov 2024 01:37:08 GMT"",
<http://web.archive.org/web/20241121175754/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Thu, 21 Nov 2024 17:57:54 GMT"",
<http://web.archive.org/web/20241125041226/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Mon, 25 Nov 2024 04:12:26 GMT"",
<http://web.archive.org/web/20241125061254/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Mon, 25 Nov 2024 06:12:54 GMT"",
<http://web.archive.org/web/20241202143904/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Mon, 02 Dec 2024 14:39:04 GMT"",
<http://web.archive.org/web/20241204215153/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Wed, 04 Dec 2024 21:51:53 GMT"",
<http://web.archive.org/web/20241208092510/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Sun, 08 Dec 2024 09:25:10 GMT"",
<http://web.archive.org/web/20241208093147/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Sun, 08 Dec 2024 09:31:47 GMT"",
<http://web.archive.org/web/20241211110229/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Wed, 11 Dec 2024 11:02:29 GMT"",
<http://web.archive.org/web/20241212221227/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Thu, 12 Dec 2024 22:12:27 GMT"",
<http://web.archive.org/web/20250131210008/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Fri, 31 Jan 2025 21:00:08 GMT"",
<http://web.archive.org/web/20250201015659/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Sat, 01 Feb 2025 01:56:59 GMT"",
<http://web.archive.org/web/20250201172803/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Sat, 01 Feb 2025 17:28:03 GMT"",
<http://web.archive.org/web/20250203002105/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Mon, 03 Feb 2025 00:21:05 GMT"",
<http://web.archive.org/web/20250206142427/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Thu, 06 Feb 2025 14:24:27 GMT"",
<http://web.archive.org/web/20250210185048/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws>; rel=""memento""; datetime=""Mon, 10 Feb 2025 18:50:48 GMT""
","{'name': 'COVID-19 Vaccine Distribution Allocations by Jurisdiction - Moderna', 'id': 'b7pe-5nws', 'description': 'New weekly allocations of doses are posted every Tuesday.  Beginning the following Thursday, states can begin ordering doses from that week’s new allocation of 1st doses.  Beginning two weeks (Pfizer) or three weeks (Moderna) from the following Sunday, states can begin ordering doses from that week’s new allocation of 2nd doses. After doses are ordered by states, shipments begin the following Monday. The entire order may not arrive in one shipment or on one day, but over the course of the week.\n\nSecond doses are opened up for orders on Sundays, at the appropriate interval two or three weeks later according to the manufacturer’s label, with shipments occurring after jurisdictions place orders. \n\nShipments of an FDA-authorized safe and effective COVID-19 vaccine continue to arrive at sites across America. Vaccinations began on December 14, 2020. \n\nhttps://www.hhs.gov/coronavirus/covid-19-vaccines/index.html\n\nPfizer Vaccine Data - https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Initial-Allocations-Pfizer/saz5-9hgg\n\nJanssen Vaccine Data - https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws'}"
COVID-19 Vaccine Distribution Allocations by Jurisdiction - Pfizer,saz5-9hgg,saz5-9hgg_1736707119.818307_COVID-19_Vaccine_Distribution_Allocations_by_Jurisdiction_-_Pfizer_20250112.csv.gz,2025-01-12 18:38:39 UTC,https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg,"New weekly allocations of doses are posted every Tuesday.  Beginning the following Thursday, states can begin ordering doses from that week’s new allocation of 1st doses.  Beginning two weeks (Pfizer) or three weeks (Moderna) from the following Sunday, states can begin ordering doses from that week’s new allocation of 2nd doses. After doses are ordered by states, shipments begin the following Monday. The entire order may not arrive in one shipment or on one day, but over the course of the week.

Second doses are opened up for orders on Sundays, at the appropriate interval two or three weeks later according to the manufacturer’s label, with shipments occurring after jurisdictions place orders. 

Shipments of an FDA-authorized safe and effective COVID-19 vaccine continue to arrive at sites across America. Vaccinations began on December 14, 2020. 

https://www.hhs.gov/coronavirus/covid-19-vaccines/index.html

Moderna Vaccine Data - https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws

Janssen Vaccine Data - https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh","<https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""original"",
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<http://web.archive.org/web/20201220214524/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Sun, 20 Dec 2020 21:45:24 GMT"",
<http://web.archive.org/web/20201220234250/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Sun, 20 Dec 2020 23:42:50 GMT"",
<http://web.archive.org/web/20201222002005/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Tue, 22 Dec 2020 00:20:05 GMT"",
<http://web.archive.org/web/20201223015643/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Wed, 23 Dec 2020 01:56:43 GMT"",
<http://web.archive.org/web/20201224025131/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Thu, 24 Dec 2020 02:51:31 GMT"",
<http://web.archive.org/web/20201225065419/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Fri, 25 Dec 2020 06:54:19 GMT"",
<http://web.archive.org/web/20201226065613/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Sat, 26 Dec 2020 06:56:13 GMT"",
<http://web.archive.org/web/20201227080049/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Sun, 27 Dec 2020 08:00:49 GMT"",
<http://web.archive.org/web/20201228083430/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Mon, 28 Dec 2020 08:34:30 GMT"",
<http://web.archive.org/web/20201229093809/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Tue, 29 Dec 2020 09:38:09 GMT"",
<http://web.archive.org/web/20201230000943/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Wed, 30 Dec 2020 00:09:43 GMT"",
<http://web.archive.org/web/20201230103333/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Wed, 30 Dec 2020 10:33:33 GMT"",
<http://web.archive.org/web/20201230161645/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Wed, 30 Dec 2020 16:16:45 GMT"",
<http://web.archive.org/web/20201230235954/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Wed, 30 Dec 2020 23:59:54 GMT"",
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<http://web.archive.org/web/20210101163241/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Fri, 01 Jan 2021 16:32:41 GMT"",
<http://web.archive.org/web/20210101180349/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Fri, 01 Jan 2021 18:03:49 GMT"",
<http://web.archive.org/web/20210103074043/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Sun, 03 Jan 2021 07:40:43 GMT"",
<http://web.archive.org/web/20210103074534/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Sun, 03 Jan 2021 07:45:34 GMT"",
<http://web.archive.org/web/20210107213711/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Thu, 07 Jan 2021 21:37:11 GMT"",
<http://web.archive.org/web/20210118134915/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Mon, 18 Jan 2021 13:49:15 GMT"",
<http://web.archive.org/web/20210120035112/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Wed, 20 Jan 2021 03:51:12 GMT"",
<http://web.archive.org/web/20210120172145/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Wed, 20 Jan 2021 17:21:45 GMT"",
<http://web.archive.org/web/20210122013900/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Fri, 22 Jan 2021 01:39:00 GMT"",
<http://web.archive.org/web/20210122071247/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Fri, 22 Jan 2021 07:12:47 GMT"",
<http://web.archive.org/web/20210122152648/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Fri, 22 Jan 2021 15:26:48 GMT"",
<http://web.archive.org/web/20210125031306/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Mon, 25 Jan 2021 03:13:06 GMT"",
<http://web.archive.org/web/20210126132155/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Tue, 26 Jan 2021 13:21:55 GMT"",
<http://web.archive.org/web/20210128102733/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Thu, 28 Jan 2021 10:27:33 GMT"",
<http://web.archive.org/web/20210202144809/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Tue, 02 Feb 2021 14:48:09 GMT"",
<http://web.archive.org/web/20210204134531/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Thu, 04 Feb 2021 13:45:31 GMT"",
<http://web.archive.org/web/20210218103751/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Thu, 18 Feb 2021 10:37:51 GMT"",
<http://web.archive.org/web/20210218105325/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Thu, 18 Feb 2021 10:53:25 GMT"",
<http://web.archive.org/web/20210218110905/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Thu, 18 Feb 2021 11:09:05 GMT"",
<http://web.archive.org/web/20210218111939/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Thu, 18 Feb 2021 11:19:39 GMT"",
<http://web.archive.org/web/20210218113510/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Thu, 18 Feb 2021 11:35:10 GMT"",
<http://web.archive.org/web/20210218120110/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Thu, 18 Feb 2021 12:01:10 GMT"",
<http://web.archive.org/web/20210218120549/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Thu, 18 Feb 2021 12:05:49 GMT"",
<http://web.archive.org/web/20210218120619/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Thu, 18 Feb 2021 12:06:19 GMT"",
<http://web.archive.org/web/20210218123700/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Thu, 18 Feb 2021 12:37:00 GMT"",
<http://web.archive.org/web/20210218123730/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Thu, 18 Feb 2021 12:37:30 GMT"",
<http://web.archive.org/web/20210218125306/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Thu, 18 Feb 2021 12:53:06 GMT"",
<http://web.archive.org/web/20210218130841/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Thu, 18 Feb 2021 13:08:41 GMT"",
<http://web.archive.org/web/20210218131917/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Thu, 18 Feb 2021 13:19:17 GMT"",
<http://web.archive.org/web/20210218133455/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Thu, 18 Feb 2021 13:34:55 GMT"",
<http://web.archive.org/web/20210218135043/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Thu, 18 Feb 2021 13:50:43 GMT"",
<http://web.archive.org/web/20210218140611/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Thu, 18 Feb 2021 14:06:11 GMT"",
<http://web.archive.org/web/20210218142150/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Thu, 18 Feb 2021 14:21:50 GMT"",
<http://web.archive.org/web/20210218143728/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Thu, 18 Feb 2021 14:37:28 GMT"",
<http://web.archive.org/web/20210218150839/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Thu, 18 Feb 2021 15:08:39 GMT"",
<http://web.archive.org/web/20210218151915/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Thu, 18 Feb 2021 15:19:15 GMT"",
<http://web.archive.org/web/20210218155027/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Thu, 18 Feb 2021 15:50:27 GMT"",
<http://web.archive.org/web/20210218162150/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Thu, 18 Feb 2021 16:21:50 GMT"",
<http://web.archive.org/web/20210218163716/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Thu, 18 Feb 2021 16:37:16 GMT"",
<http://web.archive.org/web/20210218165256/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Thu, 18 Feb 2021 16:52:56 GMT"",
<http://web.archive.org/web/20210218182139/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Thu, 18 Feb 2021 18:21:39 GMT"",
<http://web.archive.org/web/20210218190822/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Thu, 18 Feb 2021 19:08:22 GMT"",
<http://web.archive.org/web/20210218191904/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Thu, 18 Feb 2021 19:19:04 GMT"",
<http://web.archive.org/web/20210218195013/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Thu, 18 Feb 2021 19:50:13 GMT"",
<http://web.archive.org/web/20210218203651/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Thu, 18 Feb 2021 20:36:51 GMT"",
<http://web.archive.org/web/20210218213857/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Thu, 18 Feb 2021 21:38:57 GMT"",
<http://web.archive.org/web/20210218222007/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Thu, 18 Feb 2021 22:20:07 GMT"",
<http://web.archive.org/web/20210218222038/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Thu, 18 Feb 2021 22:20:38 GMT"",
<http://web.archive.org/web/20210219131115/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Fri, 19 Feb 2021 13:11:15 GMT"",
<http://web.archive.org/web/20210222224229/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Mon, 22 Feb 2021 22:42:29 GMT"",
<http://web.archive.org/web/20210223164958/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Tue, 23 Feb 2021 16:49:58 GMT"",
<http://web.archive.org/web/20210225184250/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Thu, 25 Feb 2021 18:42:50 GMT"",
<http://web.archive.org/web/20210226150822/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Fri, 26 Feb 2021 15:08:22 GMT"",
<http://web.archive.org/web/20210228150520/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Sun, 28 Feb 2021 15:05:20 GMT"",
<http://web.archive.org/web/20210301233506/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Mon, 01 Mar 2021 23:35:06 GMT"",
<http://web.archive.org/web/20210302013803/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Tue, 02 Mar 2021 01:38:03 GMT"",
<http://web.archive.org/web/20210302040109/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Tue, 02 Mar 2021 04:01:09 GMT"",
<http://web.archive.org/web/20210302094505/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Tue, 02 Mar 2021 09:45:05 GMT"",
<http://web.archive.org/web/20210303182059/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Wed, 03 Mar 2021 18:20:59 GMT"",
<http://web.archive.org/web/20210303190811/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Wed, 03 Mar 2021 19:08:11 GMT"",
<http://web.archive.org/web/20210303194940/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Wed, 03 Mar 2021 19:49:40 GMT"",
<http://web.archive.org/web/20210303205134/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Wed, 03 Mar 2021 20:51:34 GMT"",
<http://web.archive.org/web/20210303210055/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Wed, 03 Mar 2021 21:00:55 GMT"",
<http://web.archive.org/web/20210303210702/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Wed, 03 Mar 2021 21:07:02 GMT"",
<http://web.archive.org/web/20210303215329/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Wed, 03 Mar 2021 21:53:29 GMT"",
<http://web.archive.org/web/20210305223705/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Fri, 05 Mar 2021 22:37:05 GMT"",
<http://web.archive.org/web/20210310105149/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Wed, 10 Mar 2021 10:51:49 GMT"",
<http://web.archive.org/web/20210312040758/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Fri, 12 Mar 2021 04:07:58 GMT"",
<http://web.archive.org/web/20210318081259/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Thu, 18 Mar 2021 08:12:59 GMT"",
<http://web.archive.org/web/20210322205624/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Mon, 22 Mar 2021 20:56:24 GMT"",
<http://web.archive.org/web/20210325064353/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Thu, 25 Mar 2021 06:43:53 GMT"",
<http://web.archive.org/web/20210407125340/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Wed, 07 Apr 2021 12:53:40 GMT"",
<http://web.archive.org/web/20210409093721/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Fri, 09 Apr 2021 09:37:21 GMT"",
<http://web.archive.org/web/20210409095251/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Fri, 09 Apr 2021 09:52:51 GMT"",
<http://web.archive.org/web/20210409100824/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Fri, 09 Apr 2021 10:08:24 GMT"",
<http://web.archive.org/web/20210409101858/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Fri, 09 Apr 2021 10:18:58 GMT"",
<http://web.archive.org/web/20210409112109/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Fri, 09 Apr 2021 11:21:09 GMT"",
<http://web.archive.org/web/20210409123902/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Fri, 09 Apr 2021 12:39:02 GMT"",
<http://web.archive.org/web/20210409150519/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Fri, 09 Apr 2021 15:05:19 GMT"",
<http://web.archive.org/web/20210409152053/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Fri, 09 Apr 2021 15:20:53 GMT"",
<http://web.archive.org/web/20210409163853/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Fri, 09 Apr 2021 16:38:53 GMT"",
<http://web.archive.org/web/20210409165431/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Fri, 09 Apr 2021 16:54:31 GMT"",
<http://web.archive.org/web/20210409173607/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Fri, 09 Apr 2021 17:36:07 GMT"",
<http://web.archive.org/web/20210409192417/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Fri, 09 Apr 2021 19:24:17 GMT"",
<http://web.archive.org/web/20210409193516/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Fri, 09 Apr 2021 19:35:16 GMT"",
<http://web.archive.org/web/20210409195045/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Fri, 09 Apr 2021 19:50:45 GMT"",
<http://web.archive.org/web/20210409202146/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Fri, 09 Apr 2021 20:21:46 GMT"",
<http://web.archive.org/web/20210409203709/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Fri, 09 Apr 2021 20:37:09 GMT"",
<http://web.archive.org/web/20210409205250/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Fri, 09 Apr 2021 20:52:50 GMT"",
<http://web.archive.org/web/20210409210755/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Fri, 09 Apr 2021 21:07:55 GMT"",
<http://web.archive.org/web/20210416170255/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Fri, 16 Apr 2021 17:02:55 GMT"",
<http://web.archive.org/web/20210508091516/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Sat, 08 May 2021 09:15:16 GMT"",
<http://web.archive.org/web/20210508091520/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Sat, 08 May 2021 09:15:20 GMT"",
<http://web.archive.org/web/20210508091522/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Sat, 08 May 2021 09:15:22 GMT"",
<http://web.archive.org/web/20210508091557/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Sat, 08 May 2021 09:15:57 GMT"",
<http://web.archive.org/web/20210508091559/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Sat, 08 May 2021 09:15:59 GMT"",
<http://web.archive.org/web/20210510144736/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Mon, 10 May 2021 14:47:36 GMT"",
<http://web.archive.org/web/20210511010633/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Tue, 11 May 2021 01:06:33 GMT"",
<http://web.archive.org/web/20210511100159/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Tue, 11 May 2021 10:01:59 GMT"",
<http://web.archive.org/web/20210513200014/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Thu, 13 May 2021 20:00:14 GMT"",
<http://web.archive.org/web/20210513200119/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Thu, 13 May 2021 20:01:19 GMT"",
<http://web.archive.org/web/20210513200427/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Thu, 13 May 2021 20:04:27 GMT"",
<http://web.archive.org/web/20210513200500/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Thu, 13 May 2021 20:05:00 GMT"",
<http://web.archive.org/web/20210513200722/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Thu, 13 May 2021 20:07:22 GMT"",
<http://web.archive.org/web/20210606104917/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Sun, 06 Jun 2021 10:49:17 GMT"",
<http://web.archive.org/web/20210619141838/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Sat, 19 Jun 2021 14:18:38 GMT"",
<http://web.archive.org/web/20210627172501/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Sun, 27 Jun 2021 17:25:01 GMT"",
<http://web.archive.org/web/20210720120634/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Tue, 20 Jul 2021 12:06:34 GMT"",
<http://web.archive.org/web/20210720120636/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Tue, 20 Jul 2021 12:06:36 GMT"",
<http://web.archive.org/web/20210720120642/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Tue, 20 Jul 2021 12:06:42 GMT"",
<http://web.archive.org/web/20210720120719/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Tue, 20 Jul 2021 12:07:19 GMT"",
<http://web.archive.org/web/20210720120722/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Tue, 20 Jul 2021 12:07:22 GMT"",
<http://web.archive.org/web/20210726082022/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Mon, 26 Jul 2021 08:20:22 GMT"",
<http://web.archive.org/web/20210802061307/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Mon, 02 Aug 2021 06:13:07 GMT"",
<http://web.archive.org/web/20210810023056/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Tue, 10 Aug 2021 02:30:56 GMT"",
<http://web.archive.org/web/20210811203940/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Wed, 11 Aug 2021 20:39:40 GMT"",
<http://web.archive.org/web/20210812102217/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Thu, 12 Aug 2021 10:22:17 GMT"",
<http://web.archive.org/web/20210817022402/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Tue, 17 Aug 2021 02:24:02 GMT"",
<http://web.archive.org/web/20210823164640/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Mon, 23 Aug 2021 16:46:40 GMT"",
<http://web.archive.org/web/20210824070746/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Tue, 24 Aug 2021 07:07:46 GMT"",
<http://web.archive.org/web/20210831045423/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Tue, 31 Aug 2021 04:54:23 GMT"",
<http://web.archive.org/web/20210907024711/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Tue, 07 Sep 2021 02:47:11 GMT"",
<http://web.archive.org/web/20210914014421/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Tue, 14 Sep 2021 01:44:21 GMT"",
<http://web.archive.org/web/20210921091515/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Tue, 21 Sep 2021 09:15:15 GMT"",
<http://web.archive.org/web/20210927102356/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Mon, 27 Sep 2021 10:23:56 GMT"",
<http://web.archive.org/web/20210928022206/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Tue, 28 Sep 2021 02:22:06 GMT"",
<http://web.archive.org/web/20211005223440/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Tue, 05 Oct 2021 22:34:40 GMT"",
<http://web.archive.org/web/20211012050554/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Tue, 12 Oct 2021 05:05:54 GMT"",
<http://web.archive.org/web/20211016050644/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Sat, 16 Oct 2021 05:06:44 GMT"",
<http://web.archive.org/web/20211019065159/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Tue, 19 Oct 2021 06:51:59 GMT"",
<http://web.archive.org/web/20211026071157/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Tue, 26 Oct 2021 07:11:57 GMT"",
<http://web.archive.org/web/20211028145221/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Thu, 28 Oct 2021 14:52:21 GMT"",
<http://web.archive.org/web/20211029103540/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Fri, 29 Oct 2021 10:35:40 GMT"",
<http://web.archive.org/web/20211102060239/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Tue, 02 Nov 2021 06:02:39 GMT"",
<http://web.archive.org/web/20211103044747/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Wed, 03 Nov 2021 04:47:47 GMT"",
<http://web.archive.org/web/20211109123739/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Tue, 09 Nov 2021 12:37:39 GMT"",
<http://web.archive.org/web/20211116200757/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Tue, 16 Nov 2021 20:07:57 GMT"",
<http://web.archive.org/web/20211124171309/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Wed, 24 Nov 2021 17:13:09 GMT"",
<http://web.archive.org/web/20211129025828/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Mon, 29 Nov 2021 02:58:28 GMT"",
<http://web.archive.org/web/20211130103018/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Tue, 30 Nov 2021 10:30:18 GMT"",
<http://web.archive.org/web/20211227084250/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Mon, 27 Dec 2021 08:42:50 GMT"",
<http://web.archive.org/web/20211227213544/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Mon, 27 Dec 2021 21:35:44 GMT"",
<http://web.archive.org/web/20220120171933/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Thu, 20 Jan 2022 17:19:33 GMT"",
<http://web.archive.org/web/20220122131931/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Sat, 22 Jan 2022 13:19:31 GMT"",
<http://web.archive.org/web/20220125021107/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Tue, 25 Jan 2022 02:11:07 GMT"",
<http://web.archive.org/web/20220308194049/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Tue, 08 Mar 2022 19:40:49 GMT"",
<http://web.archive.org/web/20220309143445/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Wed, 09 Mar 2022 14:34:45 GMT"",
<http://web.archive.org/web/20220311030054/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Fri, 11 Mar 2022 03:00:54 GMT"",
<http://web.archive.org/web/20220408084405/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Fri, 08 Apr 2022 08:44:05 GMT"",
<http://web.archive.org/web/20220408084405/https://data.cdc.gov/vaccinations/covid-19-vaccine-distribution-allocations-by-juris/saz5-9hgg>; rel=""memento""; datetime=""Fri, 08 Apr 2022 08:44:05 GMT"",
<http://web.archive.org/web/20220516222436/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Mon, 16 May 2022 22:24:36 GMT"",
<http://web.archive.org/web/20220524214425/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Tue, 24 May 2022 21:44:25 GMT"",
<http://web.archive.org/web/20220826064244/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Fri, 26 Aug 2022 06:42:44 GMT"",
<http://web.archive.org/web/20220922103931/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg/>; rel=""memento""; datetime=""Thu, 22 Sep 2022 10:39:31 GMT"",
<http://web.archive.org/web/20220926124612/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Mon, 26 Sep 2022 12:46:12 GMT"",
<http://web.archive.org/web/20221006144759/http://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Thu, 06 Oct 2022 14:47:59 GMT"",
<http://web.archive.org/web/20221016084213/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Sun, 16 Oct 2022 08:42:13 GMT"",
<http://web.archive.org/web/20221028000037/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Fri, 28 Oct 2022 00:00:37 GMT"",
<http://web.archive.org/web/20221119163822/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Sat, 19 Nov 2022 16:38:22 GMT"",
<http://web.archive.org/web/20221207220534/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Wed, 07 Dec 2022 22:05:34 GMT"",
<http://web.archive.org/web/20230104212831/http://data.cdc.gov/vaccinations/covid-19-vaccine-distribution-allocations-by-juris/saz5-9hgg>; rel=""memento""; datetime=""Wed, 04 Jan 2023 21:28:31 GMT"",
<http://web.archive.org/web/20230205172752/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Sun, 05 Feb 2023 17:27:52 GMT"",
<http://web.archive.org/web/20230226003427/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Sun, 26 Feb 2023 00:34:27 GMT"",
<http://web.archive.org/web/20230327120731/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Mon, 27 Mar 2023 12:07:31 GMT"",
<http://web.archive.org/web/20230519193457/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Fri, 19 May 2023 19:34:57 GMT"",
<http://web.archive.org/web/20230519193542/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Fri, 19 May 2023 19:35:42 GMT"",
<http://web.archive.org/web/20230519194005/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Fri, 19 May 2023 19:40:05 GMT"",
<http://web.archive.org/web/20230606062740/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Tue, 06 Jun 2023 06:27:40 GMT"",
<http://web.archive.org/web/20230810223250/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Thu, 10 Aug 2023 22:32:50 GMT"",
<http://web.archive.org/web/20230929164404/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Fri, 29 Sep 2023 16:44:04 GMT"",
<http://web.archive.org/web/20231001104845/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Sun, 01 Oct 2023 10:48:45 GMT"",
<http://web.archive.org/web/20231129213120/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Wed, 29 Nov 2023 21:31:20 GMT"",
<http://web.archive.org/web/20231202182945/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Sat, 02 Dec 2023 18:29:45 GMT"",
<http://web.archive.org/web/20240510190357/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Fri, 10 May 2024 19:03:57 GMT"",
<http://web.archive.org/web/20240513145848/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Mon, 13 May 2024 14:58:48 GMT"",
<http://web.archive.org/web/20240514154908/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Tue, 14 May 2024 15:49:08 GMT"",
<http://web.archive.org/web/20240517163858/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Fri, 17 May 2024 16:38:58 GMT"",
<http://web.archive.org/web/20240518141836/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Sat, 18 May 2024 14:18:36 GMT"",
<http://web.archive.org/web/20240522163214/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Wed, 22 May 2024 16:32:14 GMT"",
<http://web.archive.org/web/20240528164052/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Tue, 28 May 2024 16:40:52 GMT"",
<http://web.archive.org/web/20240606175312/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Thu, 06 Jun 2024 17:53:12 GMT"",
<http://web.archive.org/web/20240611192518/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Tue, 11 Jun 2024 19:25:18 GMT"",
<http://web.archive.org/web/20240612201119/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Wed, 12 Jun 2024 20:11:19 GMT"",
<http://web.archive.org/web/20240615040640/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Sat, 15 Jun 2024 04:06:40 GMT"",
<http://web.archive.org/web/20240618225926/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Tue, 18 Jun 2024 22:59:26 GMT"",
<http://web.archive.org/web/20240620204754/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Thu, 20 Jun 2024 20:47:54 GMT"",
<http://web.archive.org/web/20240627193134/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Thu, 27 Jun 2024 19:31:34 GMT"",
<http://web.archive.org/web/20240701173952/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Mon, 01 Jul 2024 17:39:52 GMT"",
<http://web.archive.org/web/20240701195720/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Mon, 01 Jul 2024 19:57:20 GMT"",
<http://web.archive.org/web/20240702200141/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Tue, 02 Jul 2024 20:01:41 GMT"",
<http://web.archive.org/web/20240709140636/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Tue, 09 Jul 2024 14:06:36 GMT"",
<http://web.archive.org/web/20240710163516/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Wed, 10 Jul 2024 16:35:16 GMT"",
<http://web.archive.org/web/20240803162828/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Sat, 03 Aug 2024 16:28:28 GMT"",
<http://web.archive.org/web/20240916210529/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Mon, 16 Sep 2024 21:05:29 GMT"",
<http://web.archive.org/web/20240921091349/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Sat, 21 Sep 2024 09:13:49 GMT"",
<http://web.archive.org/web/20240926192339/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Thu, 26 Sep 2024 19:23:39 GMT"",
<http://web.archive.org/web/20241014170105/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Mon, 14 Oct 2024 17:01:05 GMT"",
<http://web.archive.org/web/20241107033455/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Thu, 07 Nov 2024 03:34:55 GMT"",
<http://web.archive.org/web/20241108013528/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Fri, 08 Nov 2024 01:35:28 GMT"",
<http://web.archive.org/web/20241121171601/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Thu, 21 Nov 2024 17:16:01 GMT"",
<http://web.archive.org/web/20241125040734/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Mon, 25 Nov 2024 04:07:34 GMT"",
<http://web.archive.org/web/20241125040959/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Mon, 25 Nov 2024 04:09:59 GMT"",
<http://web.archive.org/web/20241125061252/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Mon, 25 Nov 2024 06:12:52 GMT"",
<http://web.archive.org/web/20241125061424/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Mon, 25 Nov 2024 06:14:24 GMT"",
<http://web.archive.org/web/20241211110223/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Wed, 11 Dec 2024 11:02:23 GMT"",
<http://web.archive.org/web/20250121110244/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Tue, 21 Jan 2025 11:02:44 GMT"",
<http://web.archive.org/web/20250124215506/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Fri, 24 Jan 2025 21:55:06 GMT"",
<http://web.archive.org/web/20250131200036/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Fri, 31 Jan 2025 20:00:36 GMT"",
<http://web.archive.org/web/20250131203419/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Fri, 31 Jan 2025 20:34:19 GMT"",
<http://web.archive.org/web/20250131205450/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Fri, 31 Jan 2025 20:54:50 GMT"",
<http://web.archive.org/web/20250201015205/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Sat, 01 Feb 2025 01:52:05 GMT"",
<http://web.archive.org/web/20250201172514/http://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Sat, 01 Feb 2025 17:25:14 GMT"",
<http://web.archive.org/web/20250201211337/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Sat, 01 Feb 2025 21:13:37 GMT"",
<http://web.archive.org/web/20250201223843/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Sat, 01 Feb 2025 22:38:43 GMT"",
<http://web.archive.org/web/20250202030340/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Sun, 02 Feb 2025 03:03:40 GMT"",
<http://web.archive.org/web/20250202091509/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Sun, 02 Feb 2025 09:15:09 GMT"",
<http://web.archive.org/web/20250203074805/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Mon, 03 Feb 2025 07:48:05 GMT"",
<http://web.archive.org/web/20250205035455/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Wed, 05 Feb 2025 03:54:55 GMT"",
<http://web.archive.org/web/20250209192608/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Sun, 09 Feb 2025 19:26:08 GMT"",
<http://web.archive.org/web/20250209192610/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg/>; rel=""memento""; datetime=""Sun, 09 Feb 2025 19:26:10 GMT"",
<http://web.archive.org/web/20250209192612/https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg>; rel=""memento""; datetime=""Sun, 09 Feb 2025 19:26:12 GMT""
","{'name': 'COVID-19 Vaccine Distribution Allocations by Jurisdiction - Pfizer', 'id': 'saz5-9hgg', 'description': 'New weekly allocations of doses are posted every Tuesday.  Beginning the following Thursday, states can begin ordering doses from that week’s new allocation of 1st doses.  Beginning two weeks (Pfizer) or three weeks (Moderna) from the following Sunday, states can begin ordering doses from that week’s new allocation of 2nd doses. After doses are ordered by states, shipments begin the following Monday. The entire order may not arrive in one shipment or on one day, but over the course of the week.\n\nSecond doses are opened up for orders on Sundays, at the appropriate interval two or three weeks later according to the manufacturer’s label, with shipments occurring after jurisdictions place orders. \n\nShipments of an FDA-authorized safe and effective COVID-19 vaccine continue to arrive at sites across America. Vaccinations began on December 14, 2020. \n\nhttps://www.hhs.gov/coronavirus/covid-19-vaccines/index.html\n\nModerna Vaccine Data - https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws\n\nJanssen Vaccine Data - https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg'}"
COVID-19 Vaccines Up to Date Status,9b5z-wnve,9b5z-wnve_1736711942.003171_COVID-19_Vaccines_Up_to_Date_Status_20250112.csv.gz,2025-01-12 19:59:02 UTC,https://data.cdc.gov/Vaccinations/COVID-19-Vaccines-Up-to-Date-Status/9b5z-wnve,"This site provides historical data beginning June 14, 2023, for the visualization presented on <a href=""https://covid.cdc.gov/covid-data-tracker/#vaccinations"">COVID-19 Data Tracker’s “Vaccinations in the United States</a>” site titled “Percent of Total Population Who Are Up to Date with COVID-19 Vaccines”

<b>Definition for Up to Date:
For surveillance purposes people are ‘Upto Date’ with COVID-19 vaccines based on the following criteria:</b>

People ages 6 years and older: Are up to date if they received 1 updated Pfizer-BioNTech or Moderna COVID-19 vaccine. 

Children ages 6 months to 5 years who received the Pfizer-BioNTech COVID-19 vaccine: Are up to date if: At ages 6 months to 4 years, they received 3 COVID-19 vaccine doses, including at least 1 updated COVID-19 dose; at age 5 years, they received at least 1 updated COVID-19 vaccine dose. 

Children ages 6 months to 5 years who received the Moderna COVID-19 vaccine: Are up to date if they received 2 Moderna COVID-19 vaccine doses, including at least 1 updated COVID-19 vaccine dose. 

People who are unable or choose not to get a recommended mRNA vaccine: Are up to date if they receive the Novavax COVID-19 vaccine doses approved for their age group.

CDC uses US Census estimates for the total populations within each specified demographic group regardless of prior vaccination status as denominators. 

Data represents all vaccine partners including jurisdictional partner clinics, retail pharmacies, long-term care facilities, dialysis centers, Federal Emergency Management Agency and Health Resources and Services Administration partner sites, and federal entity facilities.",,"{'name': 'COVID-19 Vaccines Up to Date Status', 'id': '9b5z-wnve', 'description': 'This site provides historical data beginning June 14, 2023, for the visualization presented on <a href=""https://covid.cdc.gov/covid-data-tracker/#vaccinations"">COVID-19 Data Tracker’s “Vaccinations in the United States</a>” site titled “Percent of Total Population Who Are Up to Date with COVID-19 Vaccines”\n\n<b>Definition for Up to Date:\nFor surveillance purposes people are ‘Upto Date’ with COVID-19 vaccines based on the following criteria:</b>\n\nPeople ages 6 years and older: Are up to date\u202fif they received 1 updated Pfizer-BioNTech or Moderna COVID-19 vaccine. \n\nChildren\u202fages 6 months to 5 years who received the\u202fPfizer-BioNTech\u202fCOVID-19 vaccine: Are up to date if: At ages 6 months to 4 years, they received 3 COVID-19 vaccine doses, including at least 1 updated COVID-19 dose; at age 5 years, they received at least 1 updated COVID-19 vaccine dose. \n\nChildren ages 6 months to 5 years who received the Moderna COVID-19 vaccine:\u202fAre up to date if they received 2 Moderna COVID-19 vaccine doses, including at least 1 updated COVID-19 vaccine dose. \n\nPeople who are unable or choose not to get a recommended mRNA vaccine: Are up to date if they receive the Novavax COVID-19 vaccine doses approved for their age group.\n\nCDC uses US Census estimates for the total populations within each specified demographic group regardless of prior vaccination status as denominators. \n\nData represents all vaccine partners including jurisdictional partner clinics, retail pharmacies, long-term care facilities, dialysis centers, Federal Emergency Management Agency and Health Resources and Services Administration partner sites, and federal entity facilities.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/COVID-19-Vaccines-Up-to-Date-Status/9b5z-wnve'}"
"COVID-19 Weekly Cases and Deaths by Age, Race/Ethnicity, and Sex - ARCHIVED",hrdz-jaxc,hrdz-jaxc_1736716227.676632_COVID-19_Weekly_Cases_and_Deaths_by_Age__Race_Ethnicity__and_Sex_-_ARCHIVED_20250112.csv.gz,2025-01-12 21:10:27 UTC,https://data.cdc.gov/Public-Health-Surveillance/COVID-19-Weekly-Cases-and-Deaths-by-Age-Race-Ethni/hrdz-jaxc,"<b>Note:</b>
Authorizations to collect certain public health data expired at the end of the U.S. public health emergency declaration on May 11, 2023. The following jurisdictions discontinued COVID-19 case notifications to CDC: Iowa (11/8/21), Kansas (5/12/23), Louisiana (10/31/23), New Hampshire (5/23/23), and Oklahoma (5/2/23). Please note that these jurisdictions will not routinely send new case data after the dates indicated. As of 7/13/23, case notifications from Oregon will only include pediatric cases resulting in death.


This table summarizes COVID-19 case and death data submitted to CDC as case reports for the line-level dataset. Case and death counts are stratified according to sex, age, and race and ethnicity at regional and national levels. Data for US territories are included in case and death counts, but not population counts. Weekly cumulative counts with five or fewer cases or deaths are not reported to protect confidentiality of patients. Records with unknown or missing sex, age, or race and ethnicity and of multiple, non-Hispanic race and ethnicity are included in case and death totals. COVID-19 case and death data are provisional and are subject to change. Visualization of COVID-19 case and death rate trends by demographic variables may be viewed on COVID Data Tracker (<a href=""https://covid.cdc.gov/covid-data-tracker/#demographicsovertime"">https://covid.cdc.gov/covid-data-tracker/#demographicsovertime</a>).",,"{'name': 'COVID-19 Weekly Cases and Deaths by Age, Race/Ethnicity, and Sex - ARCHIVED', 'id': 'hrdz-jaxc', 'description': '<b>Note:</b>\nAuthorizations to collect certain public health data expired at the end of the U.S. public health emergency declaration on May 11, 2023. The following jurisdictions discontinued COVID-19 case notifications to CDC: Iowa (11/8/21), Kansas (5/12/23), Louisiana (10/31/23), New Hampshire (5/23/23), and Oklahoma (5/2/23). Please note that these jurisdictions will not routinely send new case data after the dates indicated. As of 7/13/23, case notifications from Oregon will only include pediatric cases resulting in death.\n\n\nThis table summarizes COVID-19 case and death data submitted to CDC as case reports for the line-level dataset. Case and death counts are stratified according to sex, age, and race and ethnicity at regional and national levels. Data for US territories are included in case and death counts, but not population counts. Weekly cumulative counts with five or fewer cases or deaths are not reported to protect confidentiality of patients. Records with unknown or missing sex, age, or race and ethnicity and of multiple, non-Hispanic race and ethnicity are included in case and death totals. COVID-19 case and death data are provisional and are subject to change. Visualization of COVID-19 case and death rate trends by demographic variables may be viewed on COVID Data Tracker (<a href=""https://covid.cdc.gov/covid-data-tracker/#demographicsovertime"">https://covid.cdc.gov/covid-data-tracker/#demographicsovertime</a>).', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/COVID-19-Weekly-Cases-and-Deaths-by-Age-Race-Ethni/hrdz-jaxc'}"
"COVID-19-associated school closures, United States, February 18–June 30, 2020",wgvr-7mvz,wgvr-7mvz_1736726614.066387_COVID-19-associated_school_closures__United_States__February_18_June_30__2020_20250113.csv.gz,2025-01-13 00:03:34 UTC,https://data.cdc.gov/Public-Health-Surveillance/COVID-19-associated-school-closures-United-States-/wgvr-7mvz,"Unplanned public K-12 school district and individual school closures due to COVID-19 in the United States from February 18–June 30, 2020.",,"{'name': 'COVID-19-associated school closures, United States, February 18–June 30, 2020', 'id': 'wgvr-7mvz', 'description': 'Unplanned public K-12 school district and individual school closures due to COVID-19 in the United States from February 18–June 30, 2020.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/COVID-19-associated-school-closures-United-States-/wgvr-7mvz'}"
"COVID-19-related School Closures: USA, 2020-2022",jnru-aqxk,jnru-aqxk_1736738290.067699_COVID-19-related_School_Closures__USA__2020-2022_20250113.csv.gz,2025-01-13 03:18:10 UTC,https://data.cdc.gov/Public-Health-Surveillance/COVID-19-related-School-Closures-USA-2020-2022/jnru-aqxk,"Unplanned public K-12 school district and individual school closures due to COVID-19 in the United States from August 1, 2020–June 30, 2022.","<https://data.cdc.gov/Public-Health-Surveillance/COVID-19-related-School-Closures-USA-2020-2022/jnru-aqxk>; rel=""original"",
<http://web.archive.org/web/timemap/link/https://data.cdc.gov/Public-Health-Surveillance/COVID-19-related-School-Closures-USA-2020-2022/jnru-aqxk>; rel=""self""; type=""application/link-format""; from=""Sun, 26 May 2024 22:05:54 GMT"",
<http://web.archive.org/web/https://data.cdc.gov/Public-Health-Surveillance/COVID-19-related-School-Closures-USA-2020-2022/jnru-aqxk>; rel=""timegate"",
<http://web.archive.org/web/20240526220554/https://data.cdc.gov/Public-Health-Surveillance/COVID-19-related-School-Closures-USA-2020-2022/jnru-aqxk>; rel=""first memento""; datetime=""Sun, 26 May 2024 22:05:54 GMT"",
<http://web.archive.org/web/20241126064815/https://data.cdc.gov/Public-Health-Surveillance/COVID-19-related-School-Closures-USA-2020-2022/jnru-aqxk>; rel=""memento""; datetime=""Tue, 26 Nov 2024 06:48:15 GMT"",
<http://web.archive.org/web/20250201014017/https://data.cdc.gov/Public-Health-Surveillance/COVID-19-related-School-Closures-USA-2020-2022/jnru-aqxk>; rel=""memento""; datetime=""Sat, 01 Feb 2025 01:40:17 GMT"",
<http://web.archive.org/web/20250201205136/https://data.cdc.gov/Public-Health-Surveillance/COVID-19-related-School-Closures-USA-2020-2022/jnru-aqxk>; rel=""memento""; datetime=""Sat, 01 Feb 2025 20:51:36 GMT"",
<http://web.archive.org/web/20250202214516/https://data.cdc.gov/Public-Health-Surveillance/COVID-19-related-School-Closures-USA-2020-2022/jnru-aqxk>; rel=""memento""; datetime=""Sun, 02 Feb 2025 21:45:16 GMT"",
<http://web.archive.org/web/20250203123616/https://data.cdc.gov/Public-Health-Surveillance/COVID-19-related-School-Closures-USA-2020-2022/jnru-aqxk>; rel=""memento""; datetime=""Mon, 03 Feb 2025 12:36:16 GMT"",
<http://web.archive.org/web/20250209014715/https://data.cdc.gov/Public-Health-Surveillance/COVID-19-related-School-Closures-USA-2020-2022/jnru-aqxk/>; rel=""memento""; datetime=""Sun, 09 Feb 2025 01:47:15 GMT"",
<http://web.archive.org/web/20250209014737/https://data.cdc.gov/Public-Health-Surveillance/COVID-19-related-School-Closures-USA-2020-2022/jnru-aqxk>; rel=""memento""; datetime=""Sun, 09 Feb 2025 01:47:37 GMT"",
<http://web.archive.org/web/20250209014739/https://data.cdc.gov/Public-Health-Surveillance/COVID-19-related-School-Closures-USA-2020-2022/jnru-aqxk>; rel=""memento""; datetime=""Sun, 09 Feb 2025 01:47:39 GMT""
","{'name': 'COVID-19-related School Closures: USA, 2020-2022', 'id': 'jnru-aqxk', 'description': 'Unplanned public K-12 school district and individual school closures due to COVID-19 in the United States from August 1, 2020–June 30, 2022.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/COVID-19-related-School-Closures-USA-2020-2022/jnru-aqxk'}"
Cancer Research Citation Search,3crz-97tw,3crz-97tw_1736739312.436398_Cancer_Research_Citation_Search_20250113.csv.gz,2025-01-13 03:35:12 UTC,https://data.cdc.gov/Cancer-Research-Citation-Search/Cancer-Research-Citation-Search/3crz-97tw,"This database of cancer-related citations for publications authored by CDC’s Division of Cancer Prevention and Control (DCPC) staff, fosters collaboration among scientists throughout the world. Allows for searching for links to scientific articles authored or co-authored by researchers from DCPC since 2000.",,"{'name': 'Cancer Research Citation Search', 'id': '3crz-97tw', 'description': 'This database of cancer-related citations for publications authored by CDC’s Division of Cancer Prevention and Control (DCPC) staff, fosters collaboration among scientists throughout the world. Allows for searching for links to scientific articles authored or co-authored by researchers from DCPC since 2000.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Cancer-Research-Citation-Search/Cancer-Research-Citation-Search/3crz-97tw'}"
"Cardiovascular Disease Death Rates, Trends, and Excess Death Rates Among US Adults (35+) by County and Age Group – 2010-2020",rsk5-566a,rsk5-566a_1736737580.085990_Cardiovascular_Disease_Death_Rates__Trends__and_Excess_Death_Rates_Among_US_Adults__35___by_County_and_Age_Group___2010-2020_20250113.csv.gz,2025-01-13 03:06:20 UTC,https://data.cdc.gov/Heart-Disease-Stroke-Prevention/Cardiovascular-Disease-Death-Rates-Trends-and-Exce/rsk5-566a,"This dataset documents cardiovascular disease (CVD) death rates, relative and absolute excess death rates, and trends. Specifically, this report presents county (or county equivalent) estimates of CVD death rates in 2000-2020, trends during 2010-2019, and relative and absolute excess death rates in 2020 by age group (ages 35–64 years, ages 65 years and older). All estimates were generated using a Bayesian spatiotemporal model and a smoothed over space, time, and 10-year age groups. Rates are age-standardized in 10-year age groups using the 2010 US population. Data source: National Vital Statistics System.",,"{'name': 'Cardiovascular Disease Death Rates, Trends, and Excess Death Rates Among US Adults (35+) by County and Age Group – 2010-2020', 'id': 'rsk5-566a', 'description': 'This dataset documents cardiovascular disease (CVD) death rates, relative and absolute excess death rates, and trends. Specifically, this report presents county (or county equivalent) estimates of CVD death rates in 2000-2020, trends during 2010-2019, and relative and absolute excess death rates in 2020 by age group (ages 35–64 years, ages 65 years and older). All estimates were generated using a Bayesian spatiotemporal model and a smoothed over space, time, and 10-year age groups. Rates are age-standardized in 10-year age groups using the 2010 US population. Data source: National Vital Statistics System.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Heart-Disease-Stroke-Prevention/Cardiovascular-Disease-Death-Rates-Trends-and-Exce/rsk5-566a'}"
"Characteristics Associated with Successful Foodborne Outbreak Investigations, NEARS 2014 - 2016",x66v-w5ka,x66v-w5ka_1736732447.997049_Characteristics_Associated_with_Successful_Foodborne_Outbreak_Investigations__NEARS_2014_-_2016_20250113.csv.gz,2025-01-13 01:40:47 UTC,https://data.cdc.gov/Foodborne-Waterborne-and-Related-Diseases/Characteristics-Associated-with-Successful-Foodbor/x66v-w5ka,"This study examined relationships between foodborne outbreak investigation characteristics, such as the epidemiological methods used, and the success of the investigation, as determined by whether the investigation identified an outbreak agent (i.e., pathogen), food item, and contributing factor. This study used data from the Centers for Disease Control and Prevention’s (CDC) National Outbreak Reporting System (NORS) and National Environmental Assessment Reporting System (NEARS) to identify outbreak investigation characteristics associated with outbreak investigation success. We identified investigation characteristics that increase the probability of successful outbreak investigations: a robust epidemiology investigation method; a thorough environmental assessment, as measured by number of visits to complete the assessment; and the collection of clinical samples. This research highlights the importance of a comprehensive outbreak investigation, which includes epidemiology, environmental health, and laboratory personnel working together to solve the outbreak.","<https://data.cdc.gov/Foodborne-Waterborne-and-Related-Diseases/Characteristics-Associated-with-Successful-Foodbor/x66v-w5ka>; rel=""original"",
<http://web.archive.org/web/timemap/link/https://data.cdc.gov/Foodborne-Waterborne-and-Related-Diseases/Characteristics-Associated-with-Successful-Foodbor/x66v-w5ka>; rel=""self""; type=""application/link-format""; from=""Fri, 27 Sep 2024 00:38:31 GMT"",
<http://web.archive.org/web/https://data.cdc.gov/Foodborne-Waterborne-and-Related-Diseases/Characteristics-Associated-with-Successful-Foodbor/x66v-w5ka>; rel=""timegate"",
<http://web.archive.org/web/20240927003831/https://data.cdc.gov/Foodborne-Waterborne-and-Related-Diseases/Characteristics-Associated-with-Successful-Foodbor/x66v-w5ka>; rel=""first memento""; datetime=""Fri, 27 Sep 2024 00:38:31 GMT"",
<http://web.archive.org/web/20241127230037/https://data.cdc.gov/Foodborne-Waterborne-and-Related-Diseases/Characteristics-Associated-with-Successful-Foodbor/x66v-w5ka>; rel=""memento""; datetime=""Wed, 27 Nov 2024 23:00:37 GMT"",
<http://web.archive.org/web/20241128201553/https://data.cdc.gov/Foodborne-Waterborne-and-Related-Diseases/Characteristics-Associated-with-Successful-Foodbor/x66v-w5ka>; rel=""memento""; datetime=""Thu, 28 Nov 2024 20:15:53 GMT"",
<http://web.archive.org/web/20241202121624/https://data.cdc.gov/Foodborne-Waterborne-and-Related-Diseases/Characteristics-Associated-with-Successful-Foodbor/x66v-w5ka>; rel=""memento""; datetime=""Mon, 02 Dec 2024 12:16:24 GMT"",
<http://web.archive.org/web/20250131210841/https://data.cdc.gov/Foodborne-Waterborne-and-Related-Diseases/Characteristics-Associated-with-Successful-Foodbor/x66v-w5ka>; rel=""memento""; datetime=""Fri, 31 Jan 2025 21:08:41 GMT"",
<http://web.archive.org/web/20250131222529/https://data.cdc.gov/Foodborne-Waterborne-and-Related-Diseases/Characteristics-Associated-with-Successful-Foodbor/x66v-w5ka>; rel=""memento""; datetime=""Fri, 31 Jan 2025 22:25:29 GMT"",
<http://web.archive.org/web/20250201013318/https://data.cdc.gov/Foodborne-Waterborne-and-Related-Diseases/Characteristics-Associated-with-Successful-Foodbor/x66v-w5ka>; rel=""memento""; datetime=""Sat, 01 Feb 2025 01:33:18 GMT"",
<http://web.archive.org/web/20250201215745/https://data.cdc.gov/Foodborne-Waterborne-and-Related-Diseases/Characteristics-Associated-with-Successful-Foodbor/x66v-w5ka>; rel=""memento""; datetime=""Sat, 01 Feb 2025 21:57:45 GMT"",
<http://web.archive.org/web/20250202083138/https://data.cdc.gov/Foodborne-Waterborne-and-Related-Diseases/Characteristics-Associated-with-Successful-Foodbor/x66v-w5ka>; rel=""memento""; datetime=""Sun, 02 Feb 2025 08:31:38 GMT"",
<http://web.archive.org/web/20250205013659/https://data.cdc.gov/Foodborne-Waterborne-and-Related-Diseases/Characteristics-Associated-with-Successful-Foodbor/x66v-w5ka>; rel=""memento""; datetime=""Wed, 05 Feb 2025 01:36:59 GMT"",
<http://web.archive.org/web/20250207073645/https://data.cdc.gov/Foodborne-Waterborne-and-Related-Diseases/Characteristics-Associated-with-Successful-Foodbor/x66v-w5ka>; rel=""memento""; datetime=""Fri, 07 Feb 2025 07:36:45 GMT"",
<http://web.archive.org/web/20250211195008/https://data.cdc.gov/Foodborne-Waterborne-and-Related-Diseases/Characteristics-Associated-with-Successful-Foodbor/x66v-w5ka/>; rel=""memento""; datetime=""Tue, 11 Feb 2025 19:50:08 GMT"",
<http://web.archive.org/web/20250211195015/https://data.cdc.gov/Foodborne-Waterborne-and-Related-Diseases/Characteristics-Associated-with-Successful-Foodbor/x66v-w5ka>; rel=""memento""; datetime=""Tue, 11 Feb 2025 19:50:15 GMT"",
<http://web.archive.org/web/20250211195016/https://data.cdc.gov/Foodborne-Waterborne-and-Related-Diseases/Characteristics-Associated-with-Successful-Foodbor/x66v-w5ka>; rel=""memento""; datetime=""Tue, 11 Feb 2025 19:50:16 GMT""
","{'name': 'Characteristics Associated with Successful Foodborne Outbreak Investigations, NEARS 2014 - 2016', 'id': 'x66v-w5ka', 'description': 'This study examined relationships between foodborne outbreak investigation characteristics, such as the epidemiological methods used, and the success of the investigation, as determined by whether the investigation identified an outbreak agent (i.e., pathogen), food item, and contributing factor. This study used data from the Centers for Disease Control and Prevention’s (CDC) National Outbreak Reporting System (NORS) and National Environmental Assessment Reporting System (NEARS) to identify outbreak investigation characteristics associated with outbreak investigation success. We identified investigation characteristics that increase the probability of successful outbreak investigations: a robust epidemiology investigation method; a thorough environmental assessment, as measured by number of visits to complete the assessment; and the collection of clinical samples. This research highlights the importance of a comprehensive outbreak investigation, which includes epidemiology, environmental health, and laboratory personnel working together to solve the outbreak.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Foodborne-Waterborne-and-Related-Diseases/Characteristics-Associated-with-Successful-Foodbor/x66v-w5ka'}"
"Claims Reimbursement to Health Care Providers and Facilities for Testing, Treatment, and Vaccine Administration  of the Uninsured",rksx-33p3,rksx-33p3_1736707970.942807_Claims_Reimbursement_to_Health_Care_Providers_and_Facilities_for_Testing__Treatment__and_Vaccine_Administration__of_the_Uninsured_20250112.csv.gz,2025-01-12 18:52:50 UTC,https://data.cdc.gov/Administrative/Claims-Reimbursement-to-Health-Care-Providers-and-/rksx-33p3,"The COVID-19 Claims Reimbursement to Health Care Providers and Facilities for Testing, Treatment, and Vaccine Administration for the Uninsured Program provides reimbursements on a rolling basis directly to eligible health care entities for claims that are attributed to the testing, treatment, and or vaccine administration of COVID-19 for uninsured individuals. The program funding information is as follow:

TESTING
The American Rescue Plan Act (ARP) which provided $4.8 billion to reimburse providers for testing the uninsured; the Families First Coronavirus Response Act (FFCRA) Relief Fund, which includes funds received from the Public Health and Social Services Emergency Fund, as appropriated in the FFCRCA (P.L. 116-127) and the Paycheck Protection Program and Health Care Enhancement Act (P.L. 116-139) (PPPHCEA), which each appropriated $1 billion to reimburse health care entities for conducting COVID-19 testing for the uninsured.
 
TREATMENT & VACCINATION
The Provider Relief Fund, which includes funds received from the Public Health and Social Services Emergency Fund, as appropriated in the Coronavirus Aid, Relief, and Economic Security (CARES) Act (P.L. 116-136), provided $100 billion in relief funds. The PPPHCEA appropriated an additional $75 billion in relief funds and the Coronavirus Response and Relief Supplemental Appropriations (CRRSA) Act (P.L. 116-260) appropriated another $3 billion. Within the Provider Relief Fund, a portion of the funding from these sources will be used to support healthcare-related expenses attributable to the treatment of uninsured individuals with COVID-19 and vaccination of uninsured individuals. To learn more about the program, visit: https://www.hrsa.gov/CovidUninsuredClaim

This dataset represents the list of health care entities who have agreed to the Terms and Conditions and received claims reimbursement for COVID-19 testing of uninsured individuals, vaccine administration and treatment for uninsured individuals with a COVID-19 diagnosis.

For Provider Relief Fund Data - https://data.cdc.gov/Administrative/HHS-Provider-Relief-Fund/kh8y-3es6",,"{'name': 'Claims Reimbursement to Health Care Providers and Facilities for Testing, Treatment, and Vaccine Administration  of the Uninsured', 'id': 'rksx-33p3', 'description': 'The COVID-19 Claims Reimbursement to Health Care Providers and Facilities for Testing, Treatment, and Vaccine Administration for the Uninsured Program provides reimbursements on a rolling basis directly to eligible health care entities for claims that are attributed to the testing, treatment, and or vaccine administration of COVID-19 for uninsured individuals. The program funding information is as follow:\n\nTESTING\nThe American Rescue Plan Act (ARP) which provided $4.8 billion to reimburse providers for testing the uninsured; the Families First Coronavirus Response Act (FFCRA) Relief Fund, which includes funds received from the Public Health and Social Services Emergency Fund, as appropriated in the FFCRCA (P.L. 116-127) and the Paycheck Protection Program and Health Care Enhancement Act (P.L. 116-139) (PPPHCEA), which each appropriated $1 billion to reimburse health care entities for conducting COVID-19 testing for the uninsured.\n \nTREATMENT & VACCINATION\nThe Provider Relief Fund, which includes funds received from the Public Health and Social Services Emergency Fund, as appropriated in the Coronavirus Aid, Relief, and Economic Security (CARES) Act (P.L. 116-136), provided $100 billion in relief funds. The PPPHCEA appropriated an additional $75 billion in relief funds and the Coronavirus Response and Relief Supplemental Appropriations (CRRSA) Act (P.L. 116-260) appropriated another $3 billion. Within the Provider Relief Fund, a portion of the funding from these sources will be used to support healthcare-related expenses attributable to the treatment of uninsured individuals with COVID-19 and vaccination of uninsured individuals. To learn more about the program, visit: https://www.hrsa.gov/CovidUninsuredClaim\n\nThis dataset represents the list of health care entities who have agreed to the Terms and Conditions and received claims reimbursement for COVID-19 testing of uninsured individuals, vaccine administration and treatment for uninsured individuals with a COVID-19 diagnosis.\n\nFor Provider Relief Fund Data - https://data.cdc.gov/Administrative/HHS-Provider-Relief-Fund/kh8y-3es6', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Administrative/Claims-Reimbursement-to-Health-Care-Providers-and-/rksx-33p3'}"
Community Water Fluoridation – State and County Level Statistics,hgyx-uuxz,hgyx-uuxz_1736729118.714155_Community_Water_Fluoridation___State_and_County_Level_Statistics_20250113.csv.gz,2025-01-13 00:45:18 UTC,https://data.cdc.gov/Oral-Health/Community-Water-Fluoridation-State-and-County-Leve/hgyx-uuxz,"State, 2016 –2020; County, 2020. The report includes both state and county level water fluoridation data generated from the Water Fluoridation Reporting System (WFRS). State level statistics include data from the biennial report originally published at https://www.cdc.gov/fluoridation/statistics/reference_stats.htm. State and county data include percentage of people, number of people, and number of water systems receiving fluoridated water. County level data is not displayed for all states. Participation in sharing county level data is voluntary and state programs determine if data will be shown.",,"{'name': 'Community Water Fluoridation – State and County Level Statistics', 'id': 'hgyx-uuxz', 'description': 'State, 2016 –2020; County, 2020. The report includes both state and county level water fluoridation data generated from the Water Fluoridation Reporting System (WFRS). State level statistics include data from the biennial report originally published at https://www.cdc.gov/fluoridation/statistics/reference_stats.htm. State and county data include percentage of people, number of people, and number of water systems receiving fluoridated water. County level data is not displayed for all states. Participation in sharing county level data is voluntary and state programs determine if data will be shown.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Oral-Health/Community-Water-Fluoridation-State-and-County-Leve/hgyx-uuxz'}"
"Conditions Contributing to COVID-19 Deaths, by State and Age, Provisional 2020-2023",hk9y-quqm,hk9y-quqm_1736707059.085949_Conditions_Contributing_to_COVID-19_Deaths__by_State_and_Age__Provisional_2020-2023_20250112.csv.gz,2025-01-12 18:37:39 UTC,https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm,"Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.

This dataset shows health conditions and contributing causes mentioned in conjunction with deaths involving coronavirus disease 2019 (COVID-19) by age group and jurisdiction of occurrence.

2022 and 2023 data are provisional. Estimates for 2020 and 2021 are based on final data.","<https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""original"",
<http://web.archive.org/web/timemap/link/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""self""; type=""application/link-format""; from=""Sat, 29 May 2021 20:26:28 GMT"",
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<http://web.archive.org/web/20210531193210/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Mon, 31 May 2021 19:32:10 GMT"",
<http://web.archive.org/web/20210620125049/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Sun, 20 Jun 2021 12:50:49 GMT"",
<http://web.archive.org/web/20210620125049/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Sun, 20 Jun 2021 12:50:49 GMT"",
<http://web.archive.org/web/20210706143630/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Tue, 06 Jul 2021 14:36:30 GMT"",
<http://web.archive.org/web/20210720100339/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Tue, 20 Jul 2021 10:03:39 GMT"",
<http://web.archive.org/web/20210720100343/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Tue, 20 Jul 2021 10:03:43 GMT"",
<http://web.archive.org/web/20210805005930/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Thu, 05 Aug 2021 00:59:30 GMT"",
<http://web.archive.org/web/20210812054707/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Thu, 12 Aug 2021 05:47:07 GMT"",
<http://web.archive.org/web/20210905011155/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Sun, 05 Sep 2021 01:11:55 GMT"",
<http://web.archive.org/web/20210905111613/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Sun, 05 Sep 2021 11:16:13 GMT"",
<http://web.archive.org/web/20210910193858/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Fri, 10 Sep 2021 19:38:58 GMT"",
<http://web.archive.org/web/20211018230059/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Mon, 18 Oct 2021 23:00:59 GMT"",
<http://web.archive.org/web/20211105195538/http://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Fri, 05 Nov 2021 19:55:38 GMT"",
<http://web.archive.org/web/20211105195539/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Fri, 05 Nov 2021 19:55:39 GMT"",
<http://web.archive.org/web/20211109045320/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Tue, 09 Nov 2021 04:53:20 GMT"",
<http://web.archive.org/web/20211120181432/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Sat, 20 Nov 2021 18:14:32 GMT"",
<http://web.archive.org/web/20211122234505/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Mon, 22 Nov 2021 23:45:05 GMT"",
<http://web.archive.org/web/20211217003739/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Fri, 17 Dec 2021 00:37:39 GMT"",
<http://web.archive.org/web/20211218065433/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Sat, 18 Dec 2021 06:54:33 GMT"",
<http://web.archive.org/web/20220103211216/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Mon, 03 Jan 2022 21:12:16 GMT"",
<http://web.archive.org/web/20220109182434/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Sun, 09 Jan 2022 18:24:34 GMT"",
<http://web.archive.org/web/20220110124315/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Mon, 10 Jan 2022 12:43:15 GMT"",
<http://web.archive.org/web/20220112035442/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Wed, 12 Jan 2022 03:54:42 GMT"",
<http://web.archive.org/web/20220113021528/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Thu, 13 Jan 2022 02:15:28 GMT"",
<http://web.archive.org/web/20220114223616/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Fri, 14 Jan 2022 22:36:16 GMT"",
<http://web.archive.org/web/20220126165949/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Wed, 26 Jan 2022 16:59:49 GMT"",
<http://web.archive.org/web/20220314134319/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Mon, 14 Mar 2022 13:43:19 GMT"",
<http://web.archive.org/web/20220521104249/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Sat, 21 May 2022 10:42:49 GMT"",
<http://web.archive.org/web/20220524162451/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Tue, 24 May 2022 16:24:51 GMT"",
<http://web.archive.org/web/20220720105755/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Wed, 20 Jul 2022 10:57:55 GMT"",
<http://web.archive.org/web/20220926122033/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Mon, 26 Sep 2022 12:20:33 GMT"",
<http://web.archive.org/web/20220926160044/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm/>; rel=""memento""; datetime=""Mon, 26 Sep 2022 16:00:44 GMT"",
<http://web.archive.org/web/20221110013752/http://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Thu, 10 Nov 2022 01:37:52 GMT"",
<http://web.archive.org/web/20221110205313/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Thu, 10 Nov 2022 20:53:13 GMT"",
<http://web.archive.org/web/20221112023336/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Sat, 12 Nov 2022 02:33:36 GMT"",
<http://web.archive.org/web/20221115194856/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Tue, 15 Nov 2022 19:48:56 GMT"",
<http://web.archive.org/web/20230205170154/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Sun, 05 Feb 2023 17:01:54 GMT"",
<http://web.archive.org/web/20230212020627/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Sun, 12 Feb 2023 02:06:27 GMT"",
<http://web.archive.org/web/20230212135853/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Sun, 12 Feb 2023 13:58:53 GMT"",
<http://web.archive.org/web/20230212135855/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Sun, 12 Feb 2023 13:58:55 GMT"",
<http://web.archive.org/web/20230212135911/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Sun, 12 Feb 2023 13:59:11 GMT"",
<http://web.archive.org/web/20230519200401/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Fri, 19 May 2023 20:04:01 GMT"",
<http://web.archive.org/web/20230606055613/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Tue, 06 Jun 2023 05:56:13 GMT"",
<http://web.archive.org/web/20230717001904/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Mon, 17 Jul 2023 00:19:04 GMT"",
<http://web.archive.org/web/20230717222836/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Mon, 17 Jul 2023 22:28:36 GMT"",
<http://web.archive.org/web/20230809185402/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Wed, 09 Aug 2023 18:54:02 GMT"",
<http://web.archive.org/web/20231001103528/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Sun, 01 Oct 2023 10:35:28 GMT"",
<http://web.archive.org/web/20231120194623/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Mon, 20 Nov 2023 19:46:23 GMT"",
<http://web.archive.org/web/20231120211250/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Mon, 20 Nov 2023 21:12:50 GMT"",
<http://web.archive.org/web/20231202184435/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Sat, 02 Dec 2023 18:44:35 GMT"",
<http://web.archive.org/web/20231208221759/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Fri, 08 Dec 2023 22:17:59 GMT"",
<http://web.archive.org/web/20240421192254/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Sun, 21 Apr 2024 19:22:54 GMT"",
<http://web.archive.org/web/20240421192301/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Sun, 21 Apr 2024 19:23:01 GMT"",
<http://web.archive.org/web/20240619202451/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Wed, 19 Jun 2024 20:24:51 GMT"",
<http://web.archive.org/web/20240624152540/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Mon, 24 Jun 2024 15:25:40 GMT"",
<http://web.archive.org/web/20240625121100/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Tue, 25 Jun 2024 12:11:00 GMT"",
<http://web.archive.org/web/20240923231510/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Mon, 23 Sep 2024 23:15:10 GMT"",
<http://web.archive.org/web/20240926220111/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Thu, 26 Sep 2024 22:01:11 GMT"",
<http://web.archive.org/web/20241016004529/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Wed, 16 Oct 2024 00:45:29 GMT"",
<http://web.archive.org/web/20241115023346/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Fri, 15 Nov 2024 02:33:46 GMT"",
<http://web.archive.org/web/20241115023351/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Fri, 15 Nov 2024 02:33:51 GMT"",
<http://web.archive.org/web/20241115023354/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Fri, 15 Nov 2024 02:33:54 GMT"",
<http://web.archive.org/web/20241125040956/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Mon, 25 Nov 2024 04:09:56 GMT"",
<http://web.archive.org/web/20241125061438/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Mon, 25 Nov 2024 06:14:38 GMT"",
<http://web.archive.org/web/20241130111929/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Sat, 30 Nov 2024 11:19:29 GMT"",
<http://web.archive.org/web/20241130125647/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Sat, 30 Nov 2024 12:56:47 GMT"",
<http://web.archive.org/web/20241203074143/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Tue, 03 Dec 2024 07:41:43 GMT"",
<http://web.archive.org/web/20241206150232/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Fri, 06 Dec 2024 15:02:32 GMT"",
<http://web.archive.org/web/20250131193712/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Fri, 31 Jan 2025 19:37:12 GMT"",
<http://web.archive.org/web/20250131200134/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Fri, 31 Jan 2025 20:01:34 GMT"",
<http://web.archive.org/web/20250201021350/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Sat, 01 Feb 2025 02:13:50 GMT"",
<http://web.archive.org/web/20250201211114/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Sat, 01 Feb 2025 21:11:14 GMT"",
<http://web.archive.org/web/20250202030243/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Sun, 02 Feb 2025 03:02:43 GMT"",
<http://web.archive.org/web/20250202091901/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Sun, 02 Feb 2025 09:19:01 GMT"",
<http://web.archive.org/web/20250203014955/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Mon, 03 Feb 2025 01:49:55 GMT"",
<http://web.archive.org/web/20250204041434/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Tue, 04 Feb 2025 04:14:34 GMT"",
<http://web.archive.org/web/20250207113203/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Fri, 07 Feb 2025 11:32:03 GMT"",
<http://web.archive.org/web/20250208182540/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Sat, 08 Feb 2025 18:25:40 GMT"",
<http://web.archive.org/web/20250209012729/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Sun, 09 Feb 2025 01:27:29 GMT"",
<http://web.archive.org/web/20250209040134/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm/>; rel=""memento""; datetime=""Sun, 09 Feb 2025 04:01:34 GMT"",
<http://web.archive.org/web/20250209040135/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Sun, 09 Feb 2025 04:01:35 GMT"",
<http://web.archive.org/web/20250209040157/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Sun, 09 Feb 2025 04:01:57 GMT"",
<http://web.archive.org/web/20250212122515/https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm>; rel=""memento""; datetime=""Wed, 12 Feb 2025 12:25:15 GMT""
","{'name': 'Conditions Contributing to COVID-19 Deaths, by State and Age, Provisional 2020-2023', 'id': 'hk9y-quqm', 'description': 'Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.\n\nThis dataset shows health conditions and contributing causes mentioned in conjunction with deaths involving coronavirus disease 2019 (COVID-19) by age group and jurisdiction of occurrence.\n\n2022 and 2023 data are provisional. Estimates for 2020 and 2021 are based on final data.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Conditions-Contributing-to-COVID-19-Deaths-by-Stat/hk9y-quqm'}"
"Cumulative Influenza Vaccination Coverage Differences by Race/Ethnicity, Children 6 months through 17 years, United States",2den-c3u2,2den-c3u2_1736730968.934958_Cumulative_Influenza_Vaccination_Coverage_Differences_by_Race_Ethnicity__Children_6_months_through_17_years__United_States_20250113.csv.gz,2025-01-13 01:16:08 UTC,https://data.cdc.gov/Vaccinations/Cumulative-Influenza-Vaccination-Coverage-Differen/2den-c3u2,"Cumulative Influenza Vaccination Coverage Differences by Race/Ethnicity, Children 6 months through 17 years, United States Vaccinations 

• Influenza vaccination coverage among children is assessed through the National Immunization Survey-Flu (NIS-Flu) annually, providing weekly influenza vaccination coverage estimates for children 6 months–17 years based upon parental report. (https://www.cdc.gov/vaccines/imz-managers/nis/about.html)  

o NIS-Flu is a national random-digit-dialed cellular telephone survey of households conducted during the flu season (October-June).  

• Final estimates for prior seasons and other flu vaccination data are available at CDC’s FluVaxView:  https://www.cdc.gov/flu/fluvaxview/index.htm.",,"{'name': 'Cumulative Influenza Vaccination Coverage Differences by Race/Ethnicity, Children 6 months through 17 years, United States', 'id': '2den-c3u2', 'description': 'Cumulative Influenza Vaccination Coverage Differences by Race/Ethnicity, Children 6 months through 17 years, United States Vaccinations \n\n• Influenza vaccination coverage among children is assessed through the National Immunization Survey-Flu (NIS-Flu) annually, providing weekly influenza vaccination coverage estimates for children 6 months–17 years based upon parental report. (https://www.cdc.gov/vaccines/imz-managers/nis/about.html)  \n\no NIS-Flu is a national random-digit-dialed cellular telephone survey of households conducted during the flu season (October-June).  \n\n• Final estimates for prior seasons and other flu vaccination data are available at CDC’s FluVaxView:  https://www.cdc.gov/flu/fluvaxview/index.htm.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/Cumulative-Influenza-Vaccination-Coverage-Differen/2den-c3u2'}"
"Cumulative Influenza Vaccination Coverage and Comparison, Adults 18 Years and Older, US, National Immunization Survey-Adult COVID Module",b6uq-hdgz,b6uq-hdgz_1736732840.976328_Cumulative_Influenza_Vaccination_Coverage_and_Comparison__Adults_18_Years_and_Older__US__National_Immunization_Survey-Adult_COVID_Module_20250113.csv.gz,2025-01-13 01:47:20 UTC,https://data.cdc.gov/Vaccinations/Cumulative-Influenza-Vaccination-Coverage-and-Comp/b6uq-hdgz,"Cumulative Influenza Vaccination Coverage and Comparison, Adults 18 Years and Older, United States, Data Source:  National Immunization Survey-Adult COVID Module.

• The National Immunization Survey-Adult COVID Module (NIS-ACM) was launched in April 2021 among adults 18 years and older. The survey was used to monitor COVID-19 vaccination uptake and confidence in vaccination among adults and included questions about influenza vaccination.",,"{'name': 'Cumulative Influenza Vaccination Coverage and Comparison, Adults 18 Years and Older, US, National Immunization Survey-Adult COVID Module', 'id': 'b6uq-hdgz', 'description': 'Cumulative Influenza Vaccination Coverage and Comparison, Adults 18 Years and Older, United States, Data Source:  National Immunization Survey-Adult COVID Module.\n\n• The National Immunization Survey-Adult COVID Module (NIS-ACM) was launched in April 2021 among adults 18 years and older. The survey was used to monitor COVID-19 vaccination uptake and confidence in vaccination among adults and included questions about influenza vaccination.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/Cumulative-Influenza-Vaccination-Coverage-and-Comp/b6uq-hdgz'}"
"Cumulative Influenza Vaccination Coverage and Intent for Vaccination Among Adults 18 Years and Older by Age, Race/Ethnicity, and COVID-19 Vaccination and Intent, United States; IPSOS Knowledge Panel and NORC AmeriSpeak Omnibus Surveys.",6p3a-6xr9,6p3a-6xr9_1736721170.859295_Cumulative_Influenza_Vaccination_Coverage_and_Intent_for_Vaccination_Among_Adults_18_Years_and_Older_by_Age__Race_Ethnicity__and_COVID-19_Vaccination_and_Intent__United_States__IPSOS_Knowledge_Panel_and_NORC_AmeriSpeak_O.csv.gz,2025-01-12 22:32:50 UTC,https://data.cdc.gov/Vaccinations/Cumulative-Influenza-Vaccination-Coverage-and-Inte/6p3a-6xr9,"National Center for Immunization and Respiratory Diseases, US Centers for Disease Control and Prevention. Cumulative Influenza Vaccination Coverage and Intent for Vaccination Among Adults 18 Years and Older by Age, Race/Ethnicity, and COVID-19 Vaccination and Intent, United States; IPSOS Knowledge Panel and NORC AmeriSpeak Omnibus Surveys.",,"{'name': 'Cumulative Influenza Vaccination Coverage and Intent for Vaccination Among Adults 18 Years and Older by Age, Race/Ethnicity, and COVID-19 Vaccination and Intent, United States; IPSOS Knowledge Panel and NORC AmeriSpeak Omnibus Surveys.', 'id': '6p3a-6xr9', 'description': 'National Center for Immunization and Respiratory Diseases, US Centers for Disease Control and Prevention. Cumulative Influenza Vaccination Coverage and Intent for Vaccination Among Adults 18 Years and Older by Age, Race/Ethnicity, and COVID-19 Vaccination and Intent, United States; IPSOS Knowledge Panel and NORC AmeriSpeak Omnibus Surveys.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/Cumulative-Influenza-Vaccination-Coverage-and-Inte/6p3a-6xr9'}"
"Cumulative Influenza Vaccination Coverage by Age Group, Race/Ethnicity, Urbanicity and Jurisdiction, NIS-ACM, Adults 18 Years and Older - NIS ACM",ty79-wym3,ty79-wym3_1736725070.405121_Cumulative_Influenza_Vaccination_Coverage_by_Age_Group__Race_Ethnicity__Urbanicity_and_Jurisdiction__NIS-ACM__Adults_18_Years_and_Older_-_NIS_ACM_20250112.csv.gz,2025-01-12 23:37:50 UTC,https://data.cdc.gov/Vaccinations/Cumulative-Influenza-Vaccination-Coverage-by-Age-G/ty79-wym3,"Cumulative Influenza Vaccination Coverage by Age Group, Race/Ethnicity, Urbanicity and Jurisdiction, NIS-ACM, Adults 18 Years and Older, United States, National Immunization Survey-Adult COVID Module. Archived data are available at the following locations: 
1. https://data.cdc.gov/resource/8dyx-9z99 
2. https://data.cdc.gov/resource/3myw-4j4q

• The National Immunization Survey-Adult COVID Module (NIS-ACM) was launched in April 2021 among adults 18 years and older. The survey was used to monitor COVID-19 vaccination uptake and confidence in vaccination among adults and included questions about influenza vaccination.",,"{'name': 'Cumulative Influenza Vaccination Coverage by Age Group, Race/Ethnicity, Urbanicity and Jurisdiction, NIS-ACM, Adults 18 Years and Older - NIS ACM', 'id': 'ty79-wym3', 'description': 'Cumulative Influenza Vaccination Coverage by Age Group, Race/Ethnicity, Urbanicity and Jurisdiction, NIS-ACM, Adults 18 Years and Older, United States, National Immunization Survey-Adult COVID Module. Archived data are available at the following locations: \n1. https://data.cdc.gov/resource/8dyx-9z99 \n2. https://data.cdc.gov/resource/3myw-4j4q\n\n• The National Immunization Survey-Adult COVID Module (NIS-ACM) was launched in April 2021 among adults 18 years and older. The survey was used to monitor COVID-19 vaccination uptake and confidence in vaccination among adults and included questions about influenza vaccination.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/Cumulative-Influenza-Vaccination-Coverage-by-Age-G/ty79-wym3'}"
"Cumulative Influenza Vaccination Coverage by Race/Ethnicity and Age Group, NIS-ACM",3myw-4j4q,3myw-4j4q_1736724351.227771_Cumulative_Influenza_Vaccination_Coverage_by_Race_Ethnicity_and_Age_Group__NIS-ACM_20250112.csv.gz,2025-01-12 23:25:51 UTC,https://data.cdc.gov/Vaccinations/Cumulative-Influenza-Vaccination-Coverage-by-Race-/3myw-4j4q,"Cumulative Influenza Vaccination Coverage Age Group, Race/Ethnicity, and Jurisdiction, Adults 18 Years and Older, United States, National Immunization Survey Adult COVID Module.

Archived data are available including for Figures 4B and 4C:  https://data.cdc.gov/resource/8dyx-9z99 

•  The National Immunization Survey-Adult COVID Module (NIS-ACM) was launched in April 2021 among adults 18 years and older. The survey was used to monitor COVID-19 vaccination uptake and confidence in vaccination among adults and included questions about influenza vaccination.",,"{'name': 'Cumulative Influenza Vaccination Coverage by Race/Ethnicity and Age Group, NIS-ACM', 'id': '3myw-4j4q', 'description': 'Cumulative Influenza Vaccination Coverage Age Group, Race/Ethnicity, and Jurisdiction, Adults 18 Years and Older, United States, National Immunization Survey Adult COVID Module.\n\nArchived data are available including for Figures 4B and 4C:  https://data.cdc.gov/resource/8dyx-9z99 \n\n•  The National Immunization Survey-Adult COVID Module (NIS-ACM) was launched in April 2021 among adults 18 years and older. The survey was used to monitor COVID-19 vaccination uptake and confidence in vaccination among adults and included questions about influenza vaccination.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/Cumulative-Influenza-Vaccination-Coverage-by-Race-/3myw-4j4q'}"
"Cumulative Influenza Vaccination Coverage by Race/Ethnicity and Age Group, NIS-ACM (Archived)",8dyx-9z99,8dyx-9z99_1736736429.215746_Cumulative_Influenza_Vaccination_Coverage_by_Race_Ethnicity_and_Age_Group__NIS-ACM__Archived__20250113.csv.gz,2025-01-13 02:47:09 UTC,https://data.cdc.gov/Vaccinations/Cumulative-Influenza-Vaccination-Coverage-by-Race-/8dyx-9z99,"Cumulative Influenza Vaccination Coverage Age Group, Race/Ethnicity, and Jurisdiction, Adults 18 Years and Older, United States, National Immunization Survey Adult COVID Module.

The National Immunization Survey-Adult COVID Module (NIS-ACM) was launched in April 2021 among adults 18 years and older. The survey was used to monitor COVID-19 vaccination uptake and confidence in vaccination among adults and included questions about influenza vaccination.",,"{'name': 'Cumulative Influenza Vaccination Coverage by Race/Ethnicity and Age Group, NIS-ACM (Archived)', 'id': '8dyx-9z99', 'description': 'Cumulative Influenza Vaccination Coverage Age Group, Race/Ethnicity, and Jurisdiction, Adults 18 Years and Older, United States, National Immunization Survey Adult COVID Module.\n\nThe National Immunization Survey-Adult COVID Module (NIS-ACM) was launched in April 2021 among adults 18 years and older. The survey was used to monitor COVID-19 vaccination uptake and confidence in vaccination among adults and included questions about influenza vaccination.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/Cumulative-Influenza-Vaccination-Coverage-by-Race-/8dyx-9z99'}"
"Cumulative Influenza Vaccination Coverage, Adults 18 years and older, by Age Group and Race/Ethnicity, United States",kmap-fsfn,kmap-fsfn_1736726138.906696_Cumulative_Influenza_Vaccination_Coverage__Adults_18_years_and_older__by_Age_Group_and_Race_Ethnicity__United_States_20250112.csv.gz,2025-01-12 23:55:38 UTC,https://data.cdc.gov/Vaccinations/Cumulative-Influenza-Vaccination-Coverage-Adults-1/kmap-fsfn,"Cumulative Influenza Vaccination Coverage, Adults 18 years and older, by Age Group and Race/Ethnicity, United States, 2020-21, IPSOS Knowledge Panel Omnibus and NORC AmeriSpeak Omnibus Surveys","<https://data.cdc.gov/Vaccinations/Cumulative-Influenza-Vaccination-Coverage-Adults-1/kmap-fsfn>; rel=""original"",
<http://web.archive.org/web/timemap/link/https://data.cdc.gov/Vaccinations/Cumulative-Influenza-Vaccination-Coverage-Adults-1/kmap-fsfn>; rel=""self""; type=""application/link-format""; from=""Sun, 21 Mar 2021 02:40:59 GMT"",
<http://web.archive.org/web/https://data.cdc.gov/Vaccinations/Cumulative-Influenza-Vaccination-Coverage-Adults-1/kmap-fsfn>; rel=""timegate"",
<http://web.archive.org/web/20210321024059/https://data.cdc.gov/Vaccinations/Cumulative-Influenza-Vaccination-Coverage-Adults-1/kmap-fsfn>; rel=""first memento""; datetime=""Sun, 21 Mar 2021 02:40:59 GMT"",
<http://web.archive.org/web/20210421145343/https://data.cdc.gov/Vaccinations/Cumulative-Influenza-Vaccination-Coverage-Adults-1/kmap-fsfn>; rel=""memento""; datetime=""Wed, 21 Apr 2021 14:53:43 GMT"",
<http://web.archive.org/web/20210508083525/https://data.cdc.gov/Vaccinations/Cumulative-Influenza-Vaccination-Coverage-Adults-1/kmap-fsfn>; rel=""memento""; datetime=""Sat, 08 May 2021 08:35:25 GMT"",
<http://web.archive.org/web/20210508083527/https://data.cdc.gov/Vaccinations/Cumulative-Influenza-Vaccination-Coverage-Adults-1/kmap-fsfn>; rel=""memento""; datetime=""Sat, 08 May 2021 08:35:27 GMT"",
<http://web.archive.org/web/20210720111749/https://data.cdc.gov/Vaccinations/Cumulative-Influenza-Vaccination-Coverage-Adults-1/kmap-fsfn>; rel=""memento""; datetime=""Tue, 20 Jul 2021 11:17:49 GMT"",
<http://web.archive.org/web/20210720111752/https://data.cdc.gov/Vaccinations/Cumulative-Influenza-Vaccination-Coverage-Adults-1/kmap-fsfn>; rel=""memento""; datetime=""Tue, 20 Jul 2021 11:17:52 GMT"",
<http://web.archive.org/web/20221116204145/https://data.cdc.gov/Vaccinations/Cumulative-Influenza-Vaccination-Coverage-Adults-1/kmap-fsfn>; rel=""memento""; datetime=""Wed, 16 Nov 2022 20:41:45 GMT"",
<http://web.archive.org/web/20241009213901/https://data.cdc.gov/Vaccinations/Cumulative-Influenza-Vaccination-Coverage-Adults-1/kmap-fsfn>; rel=""memento""; datetime=""Wed, 09 Oct 2024 21:39:01 GMT"",
<http://web.archive.org/web/20241128045726/https://data.cdc.gov/Vaccinations/Cumulative-Influenza-Vaccination-Coverage-Adults-1/kmap-fsfn>; rel=""memento""; datetime=""Thu, 28 Nov 2024 04:57:26 GMT"",
<http://web.archive.org/web/20250117211221/https://data.cdc.gov/Vaccinations/Cumulative-Influenza-Vaccination-Coverage-Adults-1/kmap-fsfn>; rel=""memento""; datetime=""Fri, 17 Jan 2025 21:12:21 GMT"",
<http://web.archive.org/web/20250201005729/https://data.cdc.gov/Vaccinations/Cumulative-Influenza-Vaccination-Coverage-Adults-1/kmap-fsfn>; rel=""memento""; datetime=""Sat, 01 Feb 2025 00:57:29 GMT"",
<http://web.archive.org/web/20250201211238/https://data.cdc.gov/Vaccinations/Cumulative-Influenza-Vaccination-Coverage-Adults-1/kmap-fsfn>; rel=""memento""; datetime=""Sat, 01 Feb 2025 21:12:38 GMT"",
<http://web.archive.org/web/20250201224536/https://data.cdc.gov/Vaccinations/Cumulative-Influenza-Vaccination-Coverage-Adults-1/kmap-fsfn>; rel=""memento""; datetime=""Sat, 01 Feb 2025 22:45:36 GMT"",
<http://web.archive.org/web/20250202083957/https://data.cdc.gov/Vaccinations/Cumulative-Influenza-Vaccination-Coverage-Adults-1/kmap-fsfn>; rel=""memento""; datetime=""Sun, 02 Feb 2025 08:39:57 GMT"",
<http://web.archive.org/web/20250203044412/https://data.cdc.gov/Vaccinations/Cumulative-Influenza-Vaccination-Coverage-Adults-1/kmap-fsfn>; rel=""memento""; datetime=""Mon, 03 Feb 2025 04:44:12 GMT"",
<http://web.archive.org/web/20250209183856/https://data.cdc.gov/Vaccinations/Cumulative-Influenza-Vaccination-Coverage-Adults-1/kmap-fsfn/>; rel=""memento""; datetime=""Sun, 09 Feb 2025 18:38:56 GMT"",
<http://web.archive.org/web/20250209183857/https://data.cdc.gov/Vaccinations/Cumulative-Influenza-Vaccination-Coverage-Adults-1/kmap-fsfn>; rel=""memento""; datetime=""Sun, 09 Feb 2025 18:38:57 GMT"",
<http://web.archive.org/web/20250209183915/https://data.cdc.gov/Vaccinations/Cumulative-Influenza-Vaccination-Coverage-Adults-1/kmap-fsfn>; rel=""memento""; datetime=""Sun, 09 Feb 2025 18:39:15 GMT""
","{'name': 'Cumulative Influenza Vaccination Coverage, Adults 18 years and older, by Age Group and Race/Ethnicity, United States', 'id': 'kmap-fsfn', 'description': 'Cumulative Influenza Vaccination Coverage, Adults 18 years and older, by Age Group and Race/Ethnicity, United States, 2020-21, IPSOS Knowledge Panel Omnibus and NORC AmeriSpeak Omnibus Surveys', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/Cumulative-Influenza-Vaccination-Coverage-Adults-1/kmap-fsfn'}"
Cumulative Percentage of Children Ages 6 Months -17 Years Who Are Up to Date with the Updated 2023-24 COVID-19 Vaccine,yctb-fv7w,yctb-fv7w_1736724747.345304_Cumulative_Percentage_of_Children_Ages_6_Months_-17_Years_Who_Are_Up_to_Date_with_the_Updated_2023-24_COVID-19_Vaccine_20250112.csv.gz,2025-01-12 23:32:27 UTC,https://data.cdc.gov/Child-Vaccinations/Cumulative-Percentage-of-Children-Ages-6-Months-17/yctb-fv7w,"• COVID-19 vaccination coverage among children 6 months to 17 years is assessed through the National Immunization Survey providing weekly COVID-19 vaccination coverage estimates (https://www.cdc.gov/vaccines/imz-managers/nis/about.html). 

• Weekly estimates of COVID-19 vaccination coverage and parental intent for vaccination among children through December 31, 2023, were calculated using data from the National Immunization Survey-Child COVID Module (NIS-CCM) (https://www.cdc.gov/vaccines/imz-managers/nis/about.html#nis-ccm). Beginning January 2, 2024, the NIS-CCM was discontinued, and questions regarding receipt of COVID-19 vaccination among children were added to the NIS-Flu (https://www.cdc.gov/vaccines/imz-managers/nis/about.html#nis-cim). 

• Starting in September 2023, the CDC recommended the 2023-2024 updated COVID-19 vaccine to protect against serious illness from COVID-19 (https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html).",,"{'name': 'Cumulative Percentage of Children Ages 6 Months -17 Years Who Are Up to Date with the Updated 2023-24 COVID-19 Vaccine', 'id': 'yctb-fv7w', 'description': '• COVID-19 vaccination coverage among children 6 months to 17 years is assessed through the National Immunization Survey providing weekly COVID-19 vaccination coverage estimates (https://www.cdc.gov/vaccines/imz-managers/nis/about.html). \n\n• Weekly estimates of COVID-19 vaccination coverage and parental intent for vaccination among children through December 31, 2023, were calculated using data from the National Immunization Survey-Child COVID Module (NIS-CCM) (https://www.cdc.gov/vaccines/imz-managers/nis/about.html#nis-ccm). Beginning January 2, 2024, the NIS-CCM was discontinued, and questions regarding receipt of COVID-19 vaccination among children were added to the NIS-Flu (https://www.cdc.gov/vaccines/imz-managers/nis/about.html#nis-cim). \n\n• Starting in September 2023, the CDC recommended the 2023-2024 updated COVID-19 vaccine to protect against serious illness from COVID-19 (https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html).', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Child-Vaccinations/Cumulative-Percentage-of-Children-Ages-6-Months-17/yctb-fv7w'}"
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<http://web.archive.org/web/20250209204007/https://data.cdc.gov/Disability-Health/DHDS-Prevalence-of-Disability-Status-and-Types-by-/qjg3-6acf>; rel=""memento""; datetime=""Sun, 09 Feb 2025 20:40:07 GMT""
","{'name': 'DHDS - Prevalence of Disability Status and Types by Demographic Groups, 2021', 'id': 'qjg3-6acf', 'description': 'Disability and Health Data System (DHDS) is an online source of state-level data on adults with disabilities. Users can access information on six functional disability types: cognitive (serious difficulty concentrating, remembering or making decisions), hearing (serious difficulty hearing or deaf), mobility (serious difficulty walking or climbing stairs), vision (serious difficulty seeing), self-care (difficulty dressing or bathing) and independent living (difficulty doing errands alone).', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Disability-Health/DHDS-Prevalence-of-Disability-Status-and-Types-by-/qjg3-6acf'}"
"DQS Cholesterol in adults age 20 and older, by selected characteristics: United States",k2e8-8t3h,k2e8-8t3h_1736734812.625566_DQS_Cholesterol_in_adults_age_20_and_older__by_selected_characteristics__United_States_20250113.csv.gz,2025-01-13 02:20:12 UTC,https://data.cdc.gov/NCHS/DQS-Cholesterol-in-adults-age-20-and-older-by-sele/k2e8-8t3h,"Data on cholesterol in adults age 20 and older in the United States, by selected characteristics. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Health and Nutrition Examination Survey.
Search, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",,"{'name': 'DQS Cholesterol in adults age 20 and older, by selected characteristics: United States', 'id': 'k2e8-8t3h', 'description': 'Data on cholesterol in adults age 20 and older in the United States, by selected characteristics. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Health and Nutrition Examination Survey.\nSearch, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/DQS-Cholesterol-in-adults-age-20-and-older-by-sele/k2e8-8t3h'}"
"DQS Community hospital beds, by state: United States",uiux-mrvg,uiux-mrvg_1736734909.028081_DQS_Community_hospital_beds__by_state__United_States_20250113.csv.gz,2025-01-13 02:21:49 UTC,https://data.cdc.gov/NCHS/DQS-Community-hospital-beds-by-state-United-States/uiux-mrvg,"Data on community hospital beds in the United States, by state. Data are from Health, United States. SOURCE: American Hospital Association (AHA) Annual Survey of Hospitals, Hospital Statistics.
Search, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",,"{'name': 'DQS Community hospital beds, by state: United States', 'id': 'uiux-mrvg', 'description': 'Data on community hospital beds in the United States, by state. Data are from Health, United States. SOURCE: American Hospital Association (AHA) Annual Survey of Hospitals, Hospital Statistics.\nSearch, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/DQS-Community-hospital-beds-by-state-United-States/uiux-mrvg'}"
"DQS Death rates for heart disease, by sex, race, Hispanic origin, and age: United States from CDC WONDER",4892-xxjy,4892-xxjy_1736732420.943152_DQS_Death_rates_for_heart_disease__by_sex__race__Hispanic_origin__and_age__United_States_from_CDC_WONDER_20250113.csv.gz,2025-01-13 01:40:20 UTC,https://data.cdc.gov/NCHS/DQS-Death-rates-for-heart-disease-by-sex-race-Hisp/4892-xxjy,"Data on death rates for diseases of heart in the United States, by age, sex, race, and Hispanic origin. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Vital Statistics System, Mortality File.
Search, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",,"{'name': 'DQS Death rates for heart disease, by sex, race, Hispanic origin, and age: United States from CDC WONDER', 'id': '4892-xxjy', 'description': 'Data on death rates for diseases of heart in the United States, by age, sex, race, and Hispanic origin. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Vital Statistics System, Mortality File.\nSearch, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/DQS-Death-rates-for-heart-disease-by-sex-race-Hisp/4892-xxjy'}"
"DQS Death rates for malignant neoplasms, by sex, race, Hispanic origin, and age: United States",4giy-47wy,4giy-47wy_1736738211.871189_DQS_Death_rates_for_malignant_neoplasms__by_sex__race__Hispanic_origin__and_age__United_States_20250113.csv.gz,2025-01-13 03:16:51 UTC,https://data.cdc.gov/NCHS/DQS-Death-rates-for-malignant-neoplasms-by-sex-rac/4giy-47wy,"Data on death rates for neoplasms in the United States, by age, sex, race, and Hispanic origin. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Vital Statistics System, Mortality File.
Search, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",,"{'name': 'DQS Death rates for malignant neoplasms, by sex, race, Hispanic origin, and age: United States', 'id': '4giy-47wy', 'description': 'Data on death rates for neoplasms in the United States, by age, sex, race, and Hispanic origin. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Vital Statistics System, Mortality File.\nSearch, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/DQS-Death-rates-for-malignant-neoplasms-by-sex-rac/4giy-47wy'}"
"DQS Death rates for suicide, by sex, race, Hispanic origin, and age: United States from CDC WONDER",p7se-k3ix,p7se-k3ix_1736736768.157400_DQS_Death_rates_for_suicide__by_sex__race__Hispanic_origin__and_age__United_States_from_CDC_WONDER_20250113.csv.gz,2025-01-13 02:52:48 UTC,https://data.cdc.gov/NCHS/DQS-Death-rates-for-suicide-by-sex-race-Hispanic-o/p7se-k3ix,"Data on death rates for suicide in the United States, by age, sex, race, and Hispanic origin. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Vital Statistics System, Mortality File.
Search, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",,"{'name': 'DQS Death rates for suicide, by sex, race, Hispanic origin, and age: United States from CDC WONDER', 'id': 'p7se-k3ix', 'description': 'Data on death rates for suicide in the United States, by age, sex, race, and Hispanic origin. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Vital Statistics System, Mortality File.\nSearch, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/DQS-Death-rates-for-suicide-by-sex-race-Hispanic-o/p7se-k3ix'}"
"DQS Delay or nonreceipt of needed medical care, prescription drugs, or dental care during the past 12 months due to cost: United States",p4r5-qsgs,p4r5-qsgs_1736733033.076809_DQS_Delay_or_nonreceipt_of_needed_medical_care__prescription_drugs__or_dental_care_during_the_past_12_months_due_to_cost__United_States_20250113.csv.gz,2025-01-13 01:50:33 UTC,https://data.cdc.gov/NCHS/DQS-Delay-or-nonreceipt-of-needed-medical-care-pre/p4r5-qsgs,"Data on delay or nonreceipt of needed medical care, nonreceipt of needed prescription drugs, or nonreceipt of needed dental care during the past 12 months due to cost, in the United States, by selected population characteristics. Data from Health, United States. SOURCE: National Center for Health Statistics, National Health Interview Survey.
Search, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",,"{'name': 'DQS Delay or nonreceipt of needed medical care, prescription drugs, or dental care during the past 12 months due to cost: United States', 'id': 'p4r5-qsgs', 'description': 'Data on delay or nonreceipt of needed medical care, nonreceipt of needed prescription drugs, or nonreceipt of needed dental care during the past 12 months due to cost, in the United States, by selected population characteristics. Data from Health, United States. SOURCE: National Center for Health Statistics, National Health Interview Survey.\nSearch, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/DQS-Delay-or-nonreceipt-of-needed-medical-care-pre/p4r5-qsgs'}"
"DQS Dentists, by state: United States.",9epi-jrff,9epi-jrff_1736727044.408965_DQS_Dentists__by_state__United_States._20250113.csv.gz,2025-01-13 00:10:44 UTC,https://data.cdc.gov/NCHS/DQS-Dentists-by-state-United-States-/9epi-jrff,"Data on active dentists in the United States by state. Data are from Health, United States. SOURCE: American Dental Association, Health Policy Institute.
Search, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",,"{'name': 'DQS Dentists, by state: United States.', 'id': '9epi-jrff', 'description': 'Data on active dentists in the United States by state. Data are from Health, United States. SOURCE: American Dental Association, Health Policy Institute.\nSearch, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/DQS-Dentists-by-state-United-States-/9epi-jrff'}"
"DQS Drug overdose death rates, by drug type, sex, age, race, and Hispanic origin: United States from CDC WONDER",dh32-cnpq,dh32-cnpq_1736733076.424744_DQS_Drug_overdose_death_rates__by_drug_type__sex__age__race__and_Hispanic_origin__United_States_from_CDC_WONDER_20250113.csv.gz,2025-01-13 01:51:16 UTC,https://data.cdc.gov/NCHS/DQS-Drug-overdose-death-rates-by-drug-type-sex-age/dh32-cnpq,"Data on drug overdose death rates in the United States, by age, sex, race, Hispanic origin, and drug type. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Vital Statistics System, Mortality File.
Search, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",,"{'name': 'DQS Drug overdose death rates, by drug type, sex, age, race, and Hispanic origin: United States from CDC WONDER', 'id': 'dh32-cnpq', 'description': 'Data on drug overdose death rates in the United States, by age, sex, race, Hispanic origin, and drug type. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Vital Statistics System, Mortality File.\nSearch, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/DQS-Drug-overdose-death-rates-by-drug-type-sex-age/dh32-cnpq'}"
DQS Estimate of Emergency Department Visits in the United States Footnotes,6vwk-ensg,6vwk-ensg_1736738576.706661_DQS_Estimate_of_Emergency_Department_Visits_in_the_United_States_Footnotes_20250113.csv.gz,2025-01-13 03:22:56 UTC,https://data.cdc.gov/NCHS/DQS-Estimate-of-Emergency-Department-Visits-in-the/6vwk-ensg,"List of footnotes, notes, and source information for The National Hospital Ambulatory Medical Care Survey (NHAMCS). Each row of this dataset contains the accompanying text for a footnote found in NHAMCS dataset. The footnote lookup can be merged onto any NHAMCS dataset using, DATASET_SHORT_NAME, FN_ID, FN_TYPE, and FN_TEXT.


SOURCE: National Center for Health Statistics CDC, The National Hospital Ambulatory Medical Care Survey (NHAMCS)",,"{'name': 'DQS Estimate of Emergency Department Visits in the United States Footnotes', 'id': '6vwk-ensg', 'description': 'List of footnotes, notes, and source information for The National Hospital Ambulatory Medical Care Survey (NHAMCS). Each row of this dataset contains the accompanying text for a footnote found in NHAMCS dataset. The footnote lookup can be merged onto any NHAMCS dataset using, DATASET_SHORT_NAME, FN_ID, FN_TYPE, and FN_TEXT.\n\n\nSOURCE: National Center for Health Statistics CDC, The National Hospital Ambulatory Medical Care Survey (NHAMCS)', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/DQS-Estimate-of-Emergency-Department-Visits-in-the/6vwk-ensg'}"
"DQS Estimate of Emergency Department Visits in the United States, 2016-2022",k6sd-3kb8,k6sd-3kb8_1736736388.755299_DQS_Estimate_of_Emergency_Department_Visits_in_the_United_States__2016-2022_20250113.csv.gz,2025-01-13 02:46:28 UTC,https://data.cdc.gov/NCHS/DQS-Estimate-of-Emergency-Department-Visits-in-the/k6sd-3kb8,"These data include counts and rates of emergency department visits from 2016-2022 for selected primary diagnoses and reasons for visit, stratified by selected patient and hospital characteristics.
Search, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",,"{'name': 'DQS Estimate of Emergency Department Visits in the United States, 2016-2022', 'id': 'k6sd-3kb8', 'description': 'These data include counts and rates of emergency department visits from 2016-2022 for selected primary diagnoses and reasons for visit, stratified by selected patient and hospital characteristics.\nSearch, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/DQS-Estimate-of-Emergency-Department-Visits-in-the/k6sd-3kb8'}"
"DQS Fetal, late fetal, and perinatal mortality rates, by detailed race and Hispanic origin of mother United States",vac9-j9wr,vac9-j9wr_1736738043.581558_DQS_Fetal__late_fetal__and_perinatal_mortality_rates__by_detailed_race_and_Hispanic_origin_of_mother_United_States_20250113.csv.gz,2025-01-13 03:14:03 UTC,https://data.cdc.gov/NCHS/DQS-Fetal-late-fetal-and-perinatal-mortality-rates/vac9-j9wr,"Data on fetal, late fetal, and perinatal mortality rates in the United States, by detailed race and Hispanic origin of mother. Data are from Health, United States. Source: National Center for Health Statistics, National Vital Statistics System, Fetal Death Data Set.
Search, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",,"{'name': 'DQS Fetal, late fetal, and perinatal mortality rates, by detailed race and Hispanic origin of mother United States', 'id': 'vac9-j9wr', 'description': 'Data on fetal, late fetal, and perinatal mortality rates in the United States, by detailed race and Hispanic origin of mother. Data are from Health, United States. Source: National Center for Health Statistics, National Vital Statistics System, Fetal Death Data Set.\nSearch, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/DQS-Fetal-late-fetal-and-perinatal-mortality-rates/vac9-j9wr'}"
"DQS Functional difficulties in adults age 18 and older, by selected characteristics: United States",bjpq-vm2t,bjpq-vm2t_1736739234.175888_DQS_Functional_difficulties_in_adults_age_18_and_older__by_selected_characteristics__United_States_20250113.csv.gz,2025-01-13 03:33:54 UTC,https://data.cdc.gov/NCHS/DQS-Functional-difficulties-in-adults-age-18-and-o/bjpq-vm2t,"Data on functional limitation (or functional difficulties) in adults age 18 and older in the United States, by selected characteristics. Data are from Health, United States. Source: National Center for Health Statistics, National Health Interview Survey. 
Search, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",,"{'name': 'DQS Functional difficulties in adults age 18 and older, by selected characteristics: United States', 'id': 'bjpq-vm2t', 'description': 'Data on functional limitation (or functional difficulties) in adults age 18 and older in the United States, by selected characteristics. Data are from Health, United States. Source: National Center for Health Statistics, National Health Interview Survey. \nSearch, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/DQS-Functional-difficulties-in-adults-age-18-and-o/bjpq-vm2t'}"
"DQS Health care employment and wages, by selected occupations: United States",q9cb-be9u,q9cb-be9u_1736739179.202138_DQS_Health_care_employment_and_wages__by_selected_occupations__United_States_20250113.csv.gz,2025-01-13 03:32:59 UTC,https://data.cdc.gov/NCHS/DQS-Health-care-employment-and-wages-by-selected-o/q9cb-be9u,"Data on health care employment and wages in the United States, by selected occupations. Data are from Health, United States. Source: U.S. Department of Labor, Bureau of Labor Statistics, Occupational Employment and Wage Statistics.
Search, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",,"{'name': 'DQS Health care employment and wages, by selected occupations: United States', 'id': 'q9cb-be9u', 'description': 'Data on health care employment and wages in the United States, by selected occupations. Data are from Health, United States. Source: U.S. Department of Labor, Bureau of Labor Statistics, Occupational Employment and Wage Statistics.\nSearch, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/DQS-Health-care-employment-and-wages-by-selected-o/q9cb-be9u'}"
"DQS Health, United States Dataset Footnote Lookup",9xt5-u42s,9xt5-u42s_1736734569.548727_DQS_Health__United_States_Dataset_Footnote_Lookup_20250113.csv.gz,2025-01-13 02:16:09 UTC,https://data.cdc.gov/dataset/DQS-Health-United-States-Dataset-Footnote-Lookup/9xt5-u42s,"List of footnotes, notes, and source information for Health, United States datasets. Each row of this dataset contains the accompanying text for a footnote found in a Health, United 
States dataset. The footnote lookup can be merged onto any Health, United States dataset using FN_YEAR, HUS_SHORT_NAME, and FN_ID.

SOURCE: CDC, National Center for Health Statistics, Health, United States",,"{'name': 'DQS Health, United States Dataset Footnote Lookup', 'id': '9xt5-u42s', 'description': 'List of footnotes, notes, and source information for Health, United States datasets. Each row of this dataset contains the accompanying text for a footnote found in a Health, United \nStates dataset. The footnote lookup can be merged onto any Health, United States dataset using FN_YEAR, HUS_SHORT_NAME, and FN_ID.\n\nSOURCE: CDC, National Center for Health Statistics, Health, United States', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/dataset/DQS-Health-United-States-Dataset-Footnote-Lookup/9xt5-u42s'}"
"DQS Hospital admission, average length of stay, outpatient visits, and outpatient surgery by type of ownership and size of hospital: United States",rear-2epk,rear-2epk_1736729020.182458_DQS_Hospital_admission__average_length_of_stay__outpatient_visits__and_outpatient_surgery_by_type_of_ownership_and_size_of_hospital__United_States_20250113.csv.gz,2025-01-13 00:43:40 UTC,https://data.cdc.gov/NCHS/DQS-Hospital-admission-average-length-of-stay-outp/rear-2epk,"Data on hospital admission, average length of stay, outpatient visits, and outpatient surgery in the United States, by type of ownership and size of hospital. Data are from Health, United States. SOURCE: American Hospital Association (AHA) Annual Survey of Hospitals, Hospital Statistics.
Search, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",,"{'name': 'DQS Hospital admission, average length of stay, outpatient visits, and outpatient surgery by type of ownership and size of hospital: United States', 'id': 'rear-2epk', 'description': 'Data on hospital admission, average length of stay, outpatient visits, and outpatient surgery in the United States, by type of ownership and size of hospital. Data are from Health, United States. SOURCE: American Hospital Association (AHA) Annual Survey of Hospitals, Hospital Statistics.\nSearch, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/DQS-Hospital-admission-average-length-of-stay-outp/rear-2epk'}"
"DQS Hypertension in adults age 20 and older, by selected characteristics: United States.",c49c-tp7w,c49c-tp7w_1736727686.808768_DQS_Hypertension_in_adults_age_20_and_older__by_selected_characteristics__United_States._20250113.csv.gz,2025-01-13 00:21:26 UTC,https://data.cdc.gov/NCHS/DQS-Hypertension-in-adults-age-20-and-older-by-sel/c49c-tp7w,"Data on hypertension in adults age 20 and older in the United States, by selected characteristics. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Health and Nutrition Examination Survey.
Search, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",,"{'name': 'DQS Hypertension in adults age 20 and older, by selected characteristics: United States.', 'id': 'c49c-tp7w', 'description': 'Data on hypertension in adults age 20 and older in the United States, by selected characteristics. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Health and Nutrition Examination Survey.\nSearch, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/DQS-Hypertension-in-adults-age-20-and-older-by-sel/c49c-tp7w'}"
"DQS Infant mortality rates, by race and Hispanic origin of mother, state, and territory: United States and U.S. dependent areas (Archived)",pjb2-jvdr,pjb2-jvdr_1736738098.640850_DQS_Infant_mortality_rates__by_race_and_Hispanic_origin_of_mother__state__and_territory__United_States_and_U.S._dependent_areas__Archived__20250113.csv.gz,2025-01-13 03:14:58 UTC,https://data.cdc.gov/NCHS/DQS-Infant-mortality-rates-by-race-and-Hispanic-or/pjb2-jvdr,"This topic is no longer available in the NCHS Data Query System (DQS). Search, visualize, and download other estimates from over 120 health topics with DQS, available from: https://www.cdc.gov/nchs/dataquery/index.htm.
Data on on average annual infant mortality rates in the United States and U.S. dependent areas, by race and Hispanic origin of mother, state, and territory. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Vital Statistics System, Linked Birth/Infant Death Data Set.",,"{'name': 'DQS Infant mortality rates, by race and Hispanic origin of mother, state, and territory: United States and U.S. dependent areas (Archived)', 'id': 'pjb2-jvdr', 'description': 'This topic is no longer available in the NCHS Data Query System (DQS). Search, visualize, and download other estimates from over 120 health topics with DQS, available from: https://www.cdc.gov/nchs/dataquery/index.htm.\nData on on average annual infant mortality rates in the United States and U.S. dependent areas, by race and Hispanic origin of mother, state, and territory. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Vital Statistics System, Linked Birth/Infant Death Data Set.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/DQS-Infant-mortality-rates-by-race-and-Hispanic-or/pjb2-jvdr'}"
"DQS Infant, neonatal, and postneonatal mortality rates, by detailed race and Hispanic origin of mother: United States",m7w3-utaq,m7w3-utaq_1736737876.391020_DQS_Infant__neonatal__and_postneonatal_mortality_rates__by_detailed_race_and_Hispanic_origin_of_mother__United_States_20250113.csv.gz,2025-01-13 03:11:16 UTC,https://data.cdc.gov/NCHS/DQS-Infant-neonatal-and-postneonatal-mortality-rat/m7w3-utaq,"Data on infant, neonatal, and postneonatal mortality rates in the United States, by detailed race and Hispanic origin of mother. Data are from Health, United States. Source: National Center for Health Statistics, National Vital Statistics System, Linked Birth/Infant Death Data Set.
Search, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",,"{'name': 'DQS Infant, neonatal, and postneonatal mortality rates, by detailed race and Hispanic origin of mother: United States', 'id': 'm7w3-utaq', 'description': 'Data on infant, neonatal, and postneonatal mortality rates in the United States, by detailed race and Hispanic origin of mother. Data are from Health, United States. Source: National Center for Health Statistics, National Vital Statistics System, Linked Birth/Infant Death Data Set.\nSearch, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/DQS-Infant-neonatal-and-postneonatal-mortality-rat/m7w3-utaq'}"
"DQS Initial injury-related visits to hospital emergency departments, by sex, age, and intent and mechanism of injury: United States",qdzf-zqgy,qdzf-zqgy_1736737809.213940_DQS_Initial_injury-related_visits_to_hospital_emergency_departments__by_sex__age__and_intent_and_mechanism_of_injury__United_States_20250113.csv.gz,2025-01-13 03:10:09 UTC,https://data.cdc.gov/NCHS/DQS-Initial-injury-related-visits-to-hospital-emer/qdzf-zqgy,"Data on initial injury-related visits to hospital emergency departments in the United States, by sex, age, and intent and mechanism of injury. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Hospital Ambulatory Medical Care Survey.
Search, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",,"{'name': 'DQS Initial injury-related visits to hospital emergency departments, by sex, age, and intent and mechanism of injury: United States', 'id': 'qdzf-zqgy', 'description': 'Data on initial injury-related visits to hospital emergency departments in the United States, by sex, age, and intent and mechanism of injury. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Hospital Ambulatory Medical Care Survey.\nSearch, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/DQS-Initial-injury-related-visits-to-hospital-emer/qdzf-zqgy'}"
"DQS Low birthweight live births, by race and Hispanic origin of mother, state, and territory: United States and U.S. dependent areas",dj4t-wmry,dj4t-wmry_1736737696.393222_DQS_Low_birthweight_live_births__by_race_and_Hispanic_origin_of_mother__state__and_territory__United_States_and_U.S._dependent_areas_20250113.csv.gz,2025-01-13 03:08:16 UTC,https://data.cdc.gov/NCHS/DQS-Low-birthweight-live-births-by-race-and-Hispan/dj4t-wmry,"Data on Low birthweight live births, by race and Hispanic origin of mother, state, and territory in the United States and U.S. dependent areas. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Vital Statistics System, Birth File.
Search, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",,"{'name': 'DQS Low birthweight live births, by race and Hispanic origin of mother, state, and territory: United States and U.S. dependent areas', 'id': 'dj4t-wmry', 'description': 'Data on Low birthweight live births, by race and Hispanic origin of mother, state, and territory in the United States and U.S. dependent areas. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Vital Statistics System, Birth File.\nSearch, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/DQS-Low-birthweight-live-births-by-race-and-Hispan/dj4t-wmry'}"
"DQS Medicaid coverage among persons under age 65, by selected characteristics: United States",hdja-ybdg,hdja-ybdg_1736732654.193565_DQS_Medicaid_coverage_among_persons_under_age_65__by_selected_characteristics__United_States_20250113.csv.gz,2025-01-13 01:44:14 UTC,https://data.cdc.gov/NCHS/DQS-Medicaid-coverage-among-persons-under-age-65-b/hdja-ybdg,"Data on Medicaid coverage among people under age 65, in the United States, by selected population characteristics. Data from Health, United States. SOURCE: National Center for Health Statistics, National Health Interview Survey.
Search, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",,"{'name': 'DQS Medicaid coverage among persons under age 65, by selected characteristics: United States', 'id': 'hdja-ybdg', 'description': 'Data on Medicaid coverage among people under age 65, in the United States, by selected population characteristics. Data from Health, United States. SOURCE: National Center for Health Statistics, National Health Interview Survey.\nSearch, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/DQS-Medicaid-coverage-among-persons-under-age-65-b/hdja-ybdg'}"
DQS NHANES Footnotes,iqm3-hbev,iqm3-hbev_1736737795.613239_DQS_NHANES_Footnotes_20250113.csv.gz,2025-01-13 03:09:55 UTC,https://data.cdc.gov/NCHS/DQS-NHANES-Footnotes/iqm3-hbev,"List of footnotes, notes, and source information for NHANES Summary Statistics. Each row of this dataset contains the accompanying text for a footnote found in the NHANES Datasets.",,"{'name': 'DQS NHANES Footnotes', 'id': 'iqm3-hbev', 'description': 'List of footnotes, notes, and source information for NHANES Summary Statistics. Each row of this dataset contains the accompanying text for a footnote found in the NHANES Datasets.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/DQS-NHANES-Footnotes/iqm3-hbev'}"
DQS NHANES Select Chronic Conditions Prevalence Estimates,mvup-dmxz,mvup-dmxz_1736735136.180660_DQS_NHANES_Select_Chronic_Conditions_Prevalence_Estimates_20250113.csv.gz,2025-01-13 02:25:36 UTC,https://data.cdc.gov/NCHS/DQS-NHANES-Select-Chronic-Conditions-Prevalence-Es/mvup-dmxz,"These data represent prevalence estimates of select chronic conditions from the National Health and Nutrition Examination Survey (NHANES). This version of the dataset is specific for use by the NCHS DQS.
Search, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",,"{'name': 'DQS NHANES Select Chronic Conditions Prevalence Estimates', 'id': 'mvup-dmxz', 'description': 'These data represent prevalence estimates of select chronic conditions from the National Health and Nutrition Examination Survey (NHANES). This version of the dataset is specific for use by the NCHS DQS.\nSearch, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/DQS-NHANES-Select-Chronic-Conditions-Prevalence-Es/mvup-dmxz'}"
DQS NHANES Select Infectious Diseases Prevalence Estimates,be3w-4inw,be3w-4inw_1736736754.645793_DQS_NHANES_Select_Infectious_Diseases_Prevalence_Estimates_20250113.csv.gz,2025-01-13 02:52:34 UTC,https://data.cdc.gov/NCHS/DQS-NHANES-Select-Infectious-Diseases-Prevalence-E/be3w-4inw,"These data represent prevalence estimates of select infectious diseases from the National Health and Nutrition Examination Survey (NHANES). This version of the NHANES dataset is specific to visualization within the NCHS DQS.
Search, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",,"{'name': 'DQS NHANES Select Infectious Diseases Prevalence Estimates', 'id': 'be3w-4inw', 'description': 'These data represent prevalence estimates of select infectious diseases from the National Health and Nutrition Examination Survey (NHANES). This version of the NHANES dataset is specific to visualization within the NCHS DQS.\nSearch, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/DQS-NHANES-Select-Infectious-Diseases-Prevalence-E/be3w-4inw'}"
DQS NHANES Select Mean Dietary Intake Estimates,xcc8-2jrh,xcc8-2jrh_1736735044.149979_DQS_NHANES_Select_Mean_Dietary_Intake_Estimates_20250113.csv.gz,2025-01-13 02:24:04 UTC,https://data.cdc.gov/NCHS/DQS-NHANES-Select-Mean-Dietary-Intake-Estimates/xcc8-2jrh,"These data represent mean intake, on a given day, estimates of nutrients from foods and beverages from the National Health and Nutrition Examination Survey (NHANES).
Search, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",,"{'name': 'DQS NHANES Select Mean Dietary Intake Estimates', 'id': 'xcc8-2jrh', 'description': 'These data represent mean intake, on a given day, estimates of nutrients from foods and beverages from the National Health and Nutrition Examination Survey (NHANES).\nSearch, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/DQS-NHANES-Select-Mean-Dietary-Intake-Estimates/xcc8-2jrh'}"
DQS NHANES Select Oral Health Prevalence Estimates,59vz-u8kg,59vz-u8kg_1736736824.528454_DQS_NHANES_Select_Oral_Health_Prevalence_Estimates_20250113.csv.gz,2025-01-13 02:53:44 UTC,https://data.cdc.gov/NCHS/DQS-NHANES-Select-Oral-Health-Prevalence-Estimates/59vz-u8kg,"These data represent prevalence estimates of select oral health topics from the National Health and Nutrition Examination Survey (NHANES).
Search, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",,"{'name': 'DQS NHANES Select Oral Health Prevalence Estimates', 'id': '59vz-u8kg', 'description': 'These data represent prevalence estimates of select oral health topics from the National Health and Nutrition Examination Survey (NHANES).\nSearch, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/DQS-NHANES-Select-Oral-Health-Prevalence-Estimates/59vz-u8kg'}"
DQS NHIS Adult Summary Health Statistics,pg2r-sfcx,pg2r-sfcx_1736721306.552119_DQS_NHIS_Adult_Summary_Health_Statistics_20250112.csv.gz,2025-01-12 22:35:06 UTC,https://data.cdc.gov/NCHS/DQS-NHIS-Adult-Summary-Health-Statistics/pg2r-sfcx,"Interactive Summary Health Statistics for Adults provide annual estimates of selected health topics for adults aged 18 years and over based on final data from the National Health Interview Survey.
Search, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",,"{'name': 'DQS NHIS Adult Summary Health Statistics', 'id': 'pg2r-sfcx', 'description': 'Interactive Summary Health Statistics for Adults provide annual estimates of selected health topics for adults aged 18 years and over based on final data from the National Health Interview Survey.\nSearch, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/DQS-NHIS-Adult-Summary-Health-Statistics/pg2r-sfcx'}"
DQS NHIS Adult Summary Statistics Footnotes,gpsd-ru5i,gpsd-ru5i_1736729145.903187_DQS_NHIS_Adult_Summary_Statistics_Footnotes_20250113.csv.gz,2025-01-13 00:45:45 UTC,https://data.cdc.gov/NCHS/DQS-NHIS-Adult-Summary-Statistics-Footnotes/gpsd-ru5i,"List of footnotes, notes, and source information for NHIS Adult Summary Statistics. Each row of this dataset contains the accompanying text for a footnote found in the NHIS Adults Summary Statistics Dataset.","<https://data.cdc.gov/NCHS/DQS-NHIS-Adult-Summary-Statistics-Footnotes/gpsd-ru5i>; rel=""original"",
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<http://web.archive.org/web/20241125044437/https://data.cdc.gov/NCHS/DQS-NHIS-Adult-Summary-Statistics-Footnotes/gpsd-ru5i>; rel=""memento""; datetime=""Mon, 25 Nov 2024 04:44:37 GMT"",
<http://web.archive.org/web/20241125082819/https://data.cdc.gov/NCHS/DQS-NHIS-Adult-Summary-Statistics-Footnotes/gpsd-ru5i>; rel=""memento""; datetime=""Mon, 25 Nov 2024 08:28:19 GMT"",
<http://web.archive.org/web/20250131194857/https://data.cdc.gov/NCHS/DQS-NHIS-Adult-Summary-Statistics-Footnotes/gpsd-ru5i>; rel=""memento""; datetime=""Fri, 31 Jan 2025 19:48:57 GMT"",
<http://web.archive.org/web/20250201010251/https://data.cdc.gov/NCHS/DQS-NHIS-Adult-Summary-Statistics-Footnotes/gpsd-ru5i>; rel=""memento""; datetime=""Sat, 01 Feb 2025 01:02:51 GMT"",
<http://web.archive.org/web/20250201204840/https://data.cdc.gov/NCHS/DQS-NHIS-Adult-Summary-Statistics-Footnotes/gpsd-ru5i>; rel=""memento""; datetime=""Sat, 01 Feb 2025 20:48:40 GMT"",
<http://web.archive.org/web/20250202081209/https://data.cdc.gov/NCHS/DQS-NHIS-Adult-Summary-Statistics-Footnotes/gpsd-ru5i>; rel=""memento""; datetime=""Sun, 02 Feb 2025 08:12:09 GMT"",
<http://web.archive.org/web/20250202081401/https://data.cdc.gov/NCHS/DQS-NHIS-Adult-Summary-Statistics-Footnotes/gpsd-ru5i>; rel=""memento""; datetime=""Sun, 02 Feb 2025 08:14:01 GMT"",
<http://web.archive.org/web/20250206093049/https://data.cdc.gov/NCHS/DQS-NHIS-Adult-Summary-Statistics-Footnotes/gpsd-ru5i>; rel=""memento""; datetime=""Thu, 06 Feb 2025 09:30:49 GMT"",
<http://web.archive.org/web/20250206093051/https://data.cdc.gov/NCHS/DQS-NHIS-Adult-Summary-Statistics-Footnotes/gpsd-ru5i>; rel=""memento""; datetime=""Thu, 06 Feb 2025 09:30:51 GMT"",
<http://web.archive.org/web/20250206093052/https://data.cdc.gov/NCHS/DQS-NHIS-Adult-Summary-Statistics-Footnotes/gpsd-ru5i/>; rel=""memento""; datetime=""Thu, 06 Feb 2025 09:30:52 GMT""
","{'name': 'DQS NHIS Adult Summary Statistics Footnotes', 'id': 'gpsd-ru5i', 'description': 'List of footnotes, notes, and source information for NHIS Adult Summary Statistics. Each row of this dataset contains the accompanying text for a footnote found in the NHIS Adults Summary Statistics Dataset.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/DQS-NHIS-Adult-Summary-Statistics-Footnotes/gpsd-ru5i'}"
DQS NHIS Children Summary Statistics,b5qi-b3hv,b5qi-b3hv_1736735512.080043_DQS_NHIS_Children_Summary_Statistics_20250113.csv.gz,2025-01-13 02:31:52 UTC,https://data.cdc.gov/NCHS/DQS-NHIS-Children-Summary-Statistics/b5qi-b3hv,"Interactive Summary Health Statistics for Children provide annual estimates of selected health topics for children under age 18 years based on final data from the National Health Interview Survey.
Search, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.","<https://data.cdc.gov/NCHS/DQS-NHIS-Children-Summary-Statistics/b5qi-b3hv>; rel=""original"",
<http://web.archive.org/web/timemap/link/https://data.cdc.gov/NCHS/DQS-NHIS-Children-Summary-Statistics/b5qi-b3hv>; rel=""self""; type=""application/link-format""; from=""Fri, 27 Sep 2024 19:47:19 GMT"",
<http://web.archive.org/web/https://data.cdc.gov/NCHS/DQS-NHIS-Children-Summary-Statistics/b5qi-b3hv>; rel=""timegate"",
<http://web.archive.org/web/20240927194719/https://data.cdc.gov/NCHS/DQS-NHIS-Children-Summary-Statistics/b5qi-b3hv>; rel=""first memento""; datetime=""Fri, 27 Sep 2024 19:47:19 GMT"",
<http://web.archive.org/web/20241127175717/https://data.cdc.gov/NCHS/DQS-NHIS-Children-Summary-Statistics/b5qi-b3hv>; rel=""memento""; datetime=""Wed, 27 Nov 2024 17:57:17 GMT"",
<http://web.archive.org/web/20250131234659/https://data.cdc.gov/NCHS/DQS-NHIS-Children-Summary-Statistics/b5qi-b3hv>; rel=""memento""; datetime=""Fri, 31 Jan 2025 23:46:59 GMT"",
<http://web.archive.org/web/20250201205139/https://data.cdc.gov/NCHS/DQS-NHIS-Children-Summary-Statistics/b5qi-b3hv>; rel=""memento""; datetime=""Sat, 01 Feb 2025 20:51:39 GMT"",
<http://web.archive.org/web/20250202091859/https://data.cdc.gov/NCHS/DQS-NHIS-Children-Summary-Statistics/b5qi-b3hv>; rel=""memento""; datetime=""Sun, 02 Feb 2025 09:18:59 GMT"",
<http://web.archive.org/web/20250202214839/https://data.cdc.gov/NCHS/DQS-NHIS-Children-Summary-Statistics/b5qi-b3hv>; rel=""memento""; datetime=""Sun, 02 Feb 2025 21:48:39 GMT"",
<http://web.archive.org/web/20250205063731/https://data.cdc.gov/NCHS/DQS-NHIS-Children-Summary-Statistics/b5qi-b3hv>; rel=""memento""; datetime=""Wed, 05 Feb 2025 06:37:31 GMT"",
<http://web.archive.org/web/20250209014936/https://data.cdc.gov/NCHS/DQS-NHIS-Children-Summary-Statistics/b5qi-b3hv>; rel=""memento""; datetime=""Sun, 09 Feb 2025 01:49:36 GMT"",
<http://web.archive.org/web/20250209014939/https://data.cdc.gov/NCHS/DQS-NHIS-Children-Summary-Statistics/b5qi-b3hv/>; rel=""memento""; datetime=""Sun, 09 Feb 2025 01:49:39 GMT""
","{'name': 'DQS NHIS Children Summary Statistics', 'id': 'b5qi-b3hv', 'description': 'Interactive Summary Health Statistics for Children provide annual estimates of selected health topics for children under age 18 years based on final data from the National Health Interview Survey.\nSearch, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/DQS-NHIS-Children-Summary-Statistics/b5qi-b3hv'}"
DQS NHIS Children Summary Statistics Footnotes,48ev-2ygq,48ev-2ygq_1736732227.556163_DQS_NHIS_Children_Summary_Statistics_Footnotes_20250113.csv.gz,2025-01-13 01:37:07 UTC,https://data.cdc.gov/NCHS/DQS-NHIS-Children-Summary-Statistics-Footnotes/48ev-2ygq,"List of footnotes, notes, and source information for NHIS Child Summary Statistics. Each row of this dataset contains the accompanying text for a footnote found in the NHIS Child Summary Statistics Dataset.",,"{'name': 'DQS NHIS Children Summary Statistics Footnotes', 'id': '48ev-2ygq', 'description': 'List of footnotes, notes, and source information for NHIS Child Summary Statistics. Each row of this dataset contains the accompanying text for a footnote found in the NHIS Child Summary Statistics Dataset.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/DQS-NHIS-Children-Summary-Statistics-Footnotes/48ev-2ygq'}"
"DQS Normal weight, overweight, and obesity among adults aged 20 and over, by selected characteristics: United States",sqt4-6a3k,sqt4-6a3k_1736735798.027975_DQS_Normal_weight__overweight__and_obesity_among_adults_aged_20_and_over__by_selected_characteristics__United_States_20250113.csv.gz,2025-01-13 02:36:38 UTC,https://data.cdc.gov/NCHS/DQS-Normal-weight-overweight-and-obesity-among-adu/sqt4-6a3k,"Data on overweight and obesity among adults aged 20 and over in the United States, by selected characteristics, including sex, age, race, Hispanic origin, and poverty level. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Health and Nutrition Examination Survey.
Search, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",,"{'name': 'DQS Normal weight, overweight, and obesity among adults aged 20 and over, by selected characteristics: United States', 'id': 'sqt4-6a3k', 'description': 'Data on overweight and obesity among adults aged 20 and over in the United States, by selected characteristics, including sex, age, race, Hispanic origin, and poverty level. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Health and Nutrition Examination Survey.\nSearch, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/DQS-Normal-weight-overweight-and-obesity-among-adu/sqt4-6a3k'}"
"DQS Obesity among children and adolescents aged 2–19 years, by selected characteristics: United States",w9cp-q6sg,w9cp-q6sg_1736735190.043887_DQS_Obesity_among_children_and_adolescents_aged_2_19_years__by_selected_characteristics__United_States_20250113.csv.gz,2025-01-13 02:26:30 UTC,https://data.cdc.gov/NCHS/DQS-Obesity-among-children-and-adolescents-aged-2-/w9cp-q6sg,"Data on obesity among children and adolescents aged 2-19 years in the United States, by selected characteristics, including sex, age, race, Hispanic origin, and poverty level. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Health and Nutrition Examination Survey.
Search, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",,"{'name': 'DQS Obesity among children and adolescents aged 2–19 years, by selected characteristics: United States', 'id': 'w9cp-q6sg', 'description': 'Data on obesity among children and adolescents aged 2-19 years in the United States, by selected characteristics, including sex, age, race, Hispanic origin, and poverty level. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Health and Nutrition Examination Survey.\nSearch, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/DQS-Obesity-among-children-and-adolescents-aged-2-/w9cp-q6sg'}"
"DQS Prescription drug use in the past 30 days, by sex, race and Hispanic origin, and age group: United States",b666-c5v5,b666-c5v5_1736731235.157004_DQS_Prescription_drug_use_in_the_past_30_days__by_sex__race_and_Hispanic_origin__and_age_group__United_States_20250113.csv.gz,2025-01-13 01:20:35 UTC,https://data.cdc.gov/NCHS/DQS-Prescription-drug-use-in-the-past-30-days-by-s/b666-c5v5,"Data on prescription drug use in the past 30 days in the United States, by sex, race and Hispanic origin, and age group. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Health and Nutrition Examination Survey.
Search, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",,"{'name': 'DQS Prescription drug use in the past 30 days, by sex, race and Hispanic origin, and age group: United States', 'id': 'b666-c5v5', 'description': 'Data on prescription drug use in the past 30 days in the United States, by sex, race and Hispanic origin, and age group. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Health and Nutrition Examination Survey.\nSearch, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/DQS-Prescription-drug-use-in-the-past-30-days-by-s/b666-c5v5'}"
"DQS Use of selected substances in the past 30 days among 12th graders, 10th graders, and 8th graders, by sex and race: United States",4kn2-jirk,4kn2-jirk_1736738631.523802_DQS_Use_of_selected_substances_in_the_past_30_days_among_12th_graders__10th_graders__and_8th_graders__by_sex_and_race__United_States_20250113.csv.gz,2025-01-13 03:23:51 UTC,https://data.cdc.gov/NCHS/DQS-Use-of-selected-substances-in-the-past-30-days/4kn2-jirk,"Data on use of selected substances in the past 30 days among 12th graders, 10th graders, and 8th graders in the United States, by sex and race. Data are from Health, United States. Source: Monitoring the Future, Institute for Social Research, University of Michigan, supported by National Institutes of Health, National Institute on Drug Abuse.
Search, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",,"{'name': 'DQS Use of selected substances in the past 30 days among 12th graders, 10th graders, and 8th graders, by sex and race: United States', 'id': '4kn2-jirk', 'description': 'Data on use of selected substances in the past 30 days among 12th graders, 10th graders, and 8th graders in the United States, by sex and race. Data are from Health, United States. Source: Monitoring the Future, Institute for Social Research, University of Michigan, supported by National Institutes of Health, National Institute on Drug Abuse.\nSearch, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/DQS-Use-of-selected-substances-in-the-past-30-days/4kn2-jirk'}"
"DQS Visits to physician offices, hospital outpatient departments, and hospital emergency departments, by age, sex, and race: United States",xmjk-wh9b,xmjk-wh9b_1736732213.752550_DQS_Visits_to_physician_offices__hospital_outpatient_departments__and_hospital_emergency_departments__by_age__sex__and_race__United_States_20250113.csv.gz,2025-01-13 01:36:53 UTC,https://data.cdc.gov/NCHS/DQS-Visits-to-physician-offices-hospital-outpatien/xmjk-wh9b,"Data on visits to physician offices and hospital emergency departments in the United States, by age, sex, and race. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Ambulatory Medical Care Survey and National Hospital Ambulatory Medical Care Survey.
Search, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",,"{'name': 'DQS Visits to physician offices, hospital outpatient departments, and hospital emergency departments, by age, sex, and race: United States', 'id': 'xmjk-wh9b', 'description': 'Data on visits to physician offices and hospital emergency departments in the United States, by age, sex, and race. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Ambulatory Medical Care Survey and National Hospital Ambulatory Medical Care Survey.\nSearch, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/DQS-Visits-to-physician-offices-hospital-outpatien/xmjk-wh9b'}"
"Daily Census Tract-Level Ozone Concentrations, 2001-2005",d3c4-tq79,d3c4-tq79_1737086195.171025_Daily_Census_Tract_Level_Ozone_Concentrations_2001.csv.gz,2025-01-17 03:56:35 UTC,https://data.cdc.gov/Environmental-Health-Toxicology/Daily-Census-Tract-Level-Ozone-Concentrations-2001/d3c4-tq79,"This dataset provides modeled predictions of ozone levels from the EPA's Downscaler model. Data are at the census tract level for 2001-2005. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Census tract-level datasets contain estimates of the mean predicted concentration and associated standard error. Please refer to the metadata attachment for more information.

Learn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action.

By using these data, you signify your agreement to comply with the following requirements: 
1.	Use the data for statistical reporting and analysis only. 
2.	Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals. 
3.	Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov. 
4.	Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating. 
5.	Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC. 
6.	Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking.","<https://data.cdc.gov/Environmental-Health-Toxicology/Daily-Census-Tract-Level-Ozone-Concentrations-2001/d3c4-tq79>; rel=""original"",
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<http://web.archive.org/web/20201001231035/https://data.cdc.gov/Environmental-Health-Toxicology/Daily-Census-Tract-Level-Ozone-Concentrations-2001/d3c4-tq79>; rel=""memento""; datetime=""Thu, 01 Oct 2020 23:10:35 GMT"",
<http://web.archive.org/web/20210122032533/https://data.cdc.gov/Environmental-Health-Toxicology/Daily-Census-Tract-Level-Ozone-Concentrations-2001/d3c4-tq79>; rel=""memento""; datetime=""Fri, 22 Jan 2021 03:25:33 GMT"",
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<http://web.archive.org/web/20210510051650/https://data.cdc.gov/Environmental-Health-Toxicology/Daily-Census-Tract-Level-Ozone-Concentrations-2001/d3c4-tq79>; rel=""memento""; datetime=""Mon, 10 May 2021 05:16:50 GMT"",
<http://web.archive.org/web/20220125091028/https://data.cdc.gov/Environmental-Health-Toxicology/Daily-Census-Tract-Level-Ozone-Concentrations-2001/d3c4-tq79>; rel=""memento""; datetime=""Tue, 25 Jan 2022 09:10:28 GMT"",
<http://web.archive.org/web/20220818075950/https://data.cdc.gov/Environmental-Health-Toxicology/Daily-Census-Tract-Level-Ozone-Concentrations-2001/d3c4-tq79>; rel=""memento""; datetime=""Thu, 18 Aug 2022 07:59:50 GMT"",
<http://web.archive.org/web/20230531231303/https://data.cdc.gov/Environmental-Health-Toxicology/Daily-Census-Tract-Level-Ozone-Concentrations-2001/d3c4-tq79>; rel=""memento""; datetime=""Wed, 31 May 2023 23:13:03 GMT"",
<http://web.archive.org/web/20240520102424/https://data.cdc.gov/Environmental-Health-Toxicology/Daily-Census-Tract-Level-Ozone-Concentrations-2001/d3c4-tq79>; rel=""memento""; datetime=""Mon, 20 May 2024 10:24:24 GMT"",
<http://web.archive.org/web/20241007163244/https://data.cdc.gov/Environmental-Health-Toxicology/Daily-Census-Tract-Level-Ozone-Concentrations-2001/d3c4-tq79>; rel=""memento""; datetime=""Mon, 07 Oct 2024 16:32:44 GMT"",
<http://web.archive.org/web/20241126083217/https://data.cdc.gov/Environmental-Health-Toxicology/Daily-Census-Tract-Level-Ozone-Concentrations-2001/d3c4-tq79>; rel=""memento""; datetime=""Tue, 26 Nov 2024 08:32:17 GMT"",
<http://web.archive.org/web/20250201014002/https://data.cdc.gov/Environmental-Health-Toxicology/Daily-Census-Tract-Level-Ozone-Concentrations-2001/d3c4-tq79>; rel=""memento""; datetime=""Sat, 01 Feb 2025 01:40:02 GMT"",
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<http://web.archive.org/web/20250205052624/https://data.cdc.gov/Environmental-Health-Toxicology/Daily-Census-Tract-Level-Ozone-Concentrations-2001/d3c4-tq79>; rel=""memento""; datetime=""Wed, 05 Feb 2025 05:26:24 GMT"",
<http://web.archive.org/web/20250205121401/https://data.cdc.gov/Environmental-Health-Toxicology/Daily-Census-Tract-Level-Ozone-Concentrations-2001/d3c4-tq79>; rel=""memento""; datetime=""Wed, 05 Feb 2025 12:14:01 GMT"",
<http://web.archive.org/web/20250207162625/https://data.cdc.gov/Environmental-Health-Toxicology/Daily-Census-Tract-Level-Ozone-Concentrations-2001/d3c4-tq79>; rel=""memento""; datetime=""Fri, 07 Feb 2025 16:26:25 GMT"",
<http://web.archive.org/web/20250211195926/https://data.cdc.gov/Environmental-Health-Toxicology/Daily-Census-Tract-Level-Ozone-Concentrations-2001/d3c4-tq79/>; rel=""memento""; datetime=""Tue, 11 Feb 2025 19:59:26 GMT"",
<http://web.archive.org/web/20250211195949/https://data.cdc.gov/Environmental-Health-Toxicology/Daily-Census-Tract-Level-Ozone-Concentrations-2001/d3c4-tq79>; rel=""memento""; datetime=""Tue, 11 Feb 2025 19:59:49 GMT"",
<http://web.archive.org/web/20250211215447/https://data.cdc.gov/Environmental-Health-Toxicology/Daily-Census-Tract-Level-Ozone-Concentrations-2001/d3c4-tq79>; rel=""memento""; datetime=""Tue, 11 Feb 2025 21:54:47 GMT""
","{'name': 'Daily Census Tract-Level Ozone Concentrations, 2001-2005', 'id': 'd3c4-tq79', 'description': ""This dataset provides modeled predictions of ozone levels from the EPA's Downscaler model. Data are at the census tract level for 2001-2005. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Census tract-level datasets contain estimates of the mean predicted concentration and associated standard error. Please refer to the metadata attachment for more information.\r\n\r\nLearn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action.\r\n\r\nBy using these data, you signify your agreement to comply with the following requirements: \r\n1.\tUse the data for statistical reporting and analysis only. \r\n2.\tDo not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals. \r\n3.\tDo not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov. \r\n4.\tDo not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating. \r\n5.\tAcknowledge, in all reports or presentations based on these data, the original source of the data and CDC. \r\n6.\tSuggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking."", 'datatype': 'tabular', 'keywords': ['demographics', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Environmental-Health-Toxicology/Daily-Census-Tract-Level-Ozone-Concentrations-2001/d3c4-tq79'}"
"Daily Census Tract-Level Ozone Concentrations, 2001-2005",v76h-zdce,v76h-zdce_1737086462.661915_Daily_Census_Tract_Level_Ozone_Concentrations_2001.csv.gz,2025-01-17 04:01:02 UTC,https://data.cdc.gov/Environmental-Health-Toxicology/Daily-Census-Tract-Level-Ozone-Concentrations-2001/v76h-zdce,"This dataset provides modeled predictions of ozone levels from the EPA's Downscaler model. Data are at the census tract level for 2001-2005. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Census tract-level datasets contain estimates of the mean predicted concentration and associated standard error. Please refer to the metadata attachment for more information.

Learn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action.

By using these data, you signify your agreement to comply with the following requirements:
1. Use the data for statistical reporting and analysis only.
2. Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals.
3. Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov.
4. Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating.
5. Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC.
6. Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking.",,"{'name': 'Daily Census Tract-Level Ozone Concentrations, 2001-2005', 'id': 'v76h-zdce', 'description': ""This dataset provides modeled predictions of ozone levels from the EPA's Downscaler model. Data are at the census tract level for 2001-2005. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Census tract-level datasets contain estimates of the mean predicted concentration and associated standard error. Please refer to the metadata attachment for more information.\n\nLearn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action.\n\nBy using these data, you signify your agreement to comply with the following requirements:\n1. Use the data for statistical reporting and analysis only.\n2. Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals.\n3. Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov.\n4. Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating.\n5. Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC.\n6. Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Environmental-Health-Toxicology/Daily-Census-Tract-Level-Ozone-Concentrations-2001/v76h-zdce'}"
"Daily Census Tract-Level Ozone Concentrations, 2006-2010",xm94-zmtx,xm94-zmtx_1737086389.697667_Daily_Census_Tract_Level_Ozone_Concentrations_2006.csv.gz,2025-01-17 03:59:49 UTC,https://data.cdc.gov/Environmental-Health-Toxicology/Daily-Census-Tract-Level-Ozone-Concentrations-2006/xm94-zmtx,"This dataset provides modeled predictions of ozone levels from the EPA's Downscaler model. Data are at the census tract level for 2006-2010. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Census tract-level datasets contain estimates of the mean predicted concentration and associated standard error. Please refer to the metadata attachment for more information.

Learn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action.

By using these data, you signify your agreement to comply with the following requirements:
1. Use the data for statistical reporting and analysis only.
2. Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals.
3. Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov.
4. Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating.
5. Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC.
6. Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking.",,"{'name': 'Daily Census Tract-Level Ozone Concentrations, 2006-2010', 'id': 'xm94-zmtx', 'description': ""This dataset provides modeled predictions of ozone levels from the EPA's Downscaler model. Data are at the census tract level for 2006-2010. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Census tract-level datasets contain estimates of the mean predicted concentration and associated standard error. Please refer to the metadata attachment for more information.\n\nLearn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action.\n\nBy using these data, you signify your agreement to comply with the following requirements:\n1. Use the data for statistical reporting and analysis only.\n2. Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals.\n3. Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov.\n4. Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating.\n5. Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC.\n6. Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Environmental-Health-Toxicology/Daily-Census-Tract-Level-Ozone-Concentrations-2006/xm94-zmtx'}"
"Daily Census Tract-Level Ozone Concentrations, 2011-2014",372p-dx3h,372p-dx3h_1737085584.438299_Daily_Census_Tract_Level_Ozone_Concentrations_2011.csv.gz,2025-01-17 03:46:24 UTC,https://data.cdc.gov/Environmental-Health-Toxicology/Daily-Census-Tract-Level-Ozone-Concentrations-2011/372p-dx3h,"This dataset provides modeled predictions of ozone levels from the EPA's Downscaler model. Data are at the census tract level for 2011-2014. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Census tract-level datasets contain estimates of the mean predicted concentration and associated standard error. Please refer to the metadata attachment for more information.

Learn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action.

By using these data, you signify your agreement to comply with the following requirements: 
1.	Use the data for statistical reporting and analysis only. 
2.	Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals. 
3.	Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov. 
4.	Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating.",,"{'name': 'Daily Census Tract-Level Ozone Concentrations, 2011-2014', 'id': '372p-dx3h', 'description': ""This dataset provides modeled predictions of ozone levels from the EPA's Downscaler model. Data are at the census tract level for 2011-2014. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Census tract-level datasets contain estimates of the mean predicted concentration and associated standard error. Please refer to the metadata attachment for more information.\r\n\r\nLearn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action.\r\n\r\nBy using these data, you signify your agreement to comply with the following requirements: \r\n1.\tUse the data for statistical reporting and analysis only. \r\n2.\tDo not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals. \r\n3.\tDo not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov. \r\n4.\tDo not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating."", 'datatype': 'tabular', 'keywords': ['demographics', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Environmental-Health-Toxicology/Daily-Census-Tract-Level-Ozone-Concentrations-2011/372p-dx3h'}"
"Daily Census Tract-Level Ozone Concentrations, 2011-2015",847z-pxin,847z-pxin_1737086264.538250_Daily_Census_Tract_Level_Ozone_Concentrations_2011.csv.gz,2025-01-17 03:57:44 UTC,https://data.cdc.gov/Environmental-Health-Toxicology/Daily-Census-Tract-Level-Ozone-Concentrations-2011/847z-pxin,"This dataset provides modeled predictions of ozone levels from the EPA's Downscaler model. Data are at the census tract level for 2001-2005. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Census tract-level datasets contain estimates of the mean predicted concentration and associated standard error. Please refer to the metadata attachment for more information.

Learn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action.

By using these data, you signify your agreement to comply with the following requirements:
1. Use the data for statistical reporting and analysis only.
2. Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals.
3. Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov.
4. Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating.
5. Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC.
6. Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking.",,"{'name': 'Daily Census Tract-Level Ozone Concentrations, 2011-2015', 'id': '847z-pxin', 'description': ""This dataset provides modeled predictions of ozone levels from the EPA's Downscaler model. Data are at the census tract level for 2001-2005. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Census tract-level datasets contain estimates of the mean predicted concentration and associated standard error. Please refer to the metadata attachment for more information.\n\nLearn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action.\n\nBy using these data, you signify your agreement to comply with the following requirements:\n1. Use the data for statistical reporting and analysis only.\n2. Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals.\n3. Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov.\n4. Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating.\n5. Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC.\n6. Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Environmental-Health-Toxicology/Daily-Census-Tract-Level-Ozone-Concentrations-2011/847z-pxin'}"
"Daily Census Tract-Level Ozone Concentrations, 2016 - 2020",hf2a-3ebq,hf2a-3ebq_1737085805.985852_Daily_Census_Tract_Level_Ozone_Concentrations_2016.csv.gz,2025-01-17 03:50:05 UTC,https://data.cdc.gov/Environmental-Health-Toxicology/Daily-Census-Tract-Level-Ozone-Concentrations-2016/hf2a-3ebq,"This dataset provides modeled predictions of ozone levels from the EPA's Downscaler model. Data are at the census tract level for 2016-2020. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Census tract-level datasets contain estimates of the mean predicted concentration and associated standard error. Please refer to the metadata attachment for more information. Learn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action. By using these data, you signify your agreement to comply with the following requirements: 1. Use the data for statistical reporting and analysis only. 2. Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals. 3. Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov. 4. Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating. 5. Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC. 6. Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network.Web. Accessed: insert date. www.cdc.gov/ephtracking.",,"{'name': 'Daily Census Tract-Level Ozone Concentrations, 2016 - 2020', 'id': 'hf2a-3ebq', 'description': ""This dataset provides modeled predictions of ozone levels from the EPA's Downscaler model. Data are at the census tract level for 2016-2020. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Census tract-level datasets contain estimates of the mean predicted concentration and associated standard error. Please refer to the metadata attachment for more information. Learn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action. By using these data, you signify your agreement to comply with the following requirements: 1. Use the data for statistical reporting and analysis only. 2. Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals. 3. Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov. 4. Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating. 5. Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC. 6. Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network.Web. Accessed: insert date. www.cdc.gov/ephtracking."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Environmental-Health-Toxicology/Daily-Census-Tract-Level-Ozone-Concentrations-2016/hf2a-3ebq'}"
"Daily Census Tract-Level PM2.5 Concentrations, 2001-2005",s5vm-cztk,s5vm-cztk_1737085956.276281_Daily_Census_Tract_Level_PM2_5_Concentrations_2001.csv.gz,2025-01-17 03:52:36 UTC,https://data.cdc.gov/Environmental-Health-Toxicology/Daily-Census-Tract-Level-PM2-5-Concentrations-2001/s5vm-cztk,"This dataset provides modeled predictions of PM2.5 levels from the EPA's Downscaler model. Data are at the census tract level for 2001-2005. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Census tract-level datasets contain estimates of the mean predicted concentration and associated standard error. Please refer to the metadata attachment for more information.

Learn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action.

By using these data, you signify your agreement to comply with the following requirements: 
1.	Use the data for statistical reporting and analysis only. 
2.	Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals. 
3.	Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov. 
4.	Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating. 
5.	Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC. 
6.	Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking.",,"{'name': 'Daily Census Tract-Level PM2.5 Concentrations, 2001-2005', 'id': 's5vm-cztk', 'description': ""This dataset provides modeled predictions of PM2.5 levels from the EPA's Downscaler model. Data are at the census tract level for 2001-2005. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Census tract-level datasets contain estimates of the mean predicted concentration and associated standard error. Please refer to the metadata attachment for more information.\r\n\r\nLearn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action.\r\n\r\nBy using these data, you signify your agreement to comply with the following requirements: \r\n1.\tUse the data for statistical reporting and analysis only. \r\n2.\tDo not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals. \r\n3.\tDo not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov. \r\n4.\tDo not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating. \r\n5.\tAcknowledge, in all reports or presentations based on these data, the original source of the data and CDC. \r\n6.\tSuggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Environmental-Health-Toxicology/Daily-Census-Tract-Level-PM2-5-Concentrations-2001/s5vm-cztk'}"
"Daily Census Tract-Level PM2.5 Concentrations, 2001-2005",v5qq-ktfc,v5qq-ktfc_1737086027.299495_Daily_Census_Tract_Level_PM2_5_Concentrations_2001.csv.gz,2025-01-17 03:53:47 UTC,https://data.cdc.gov/Environmental-Health-Toxicology/Daily-Census-Tract-Level-PM2-5-Concentrations-2001/v5qq-ktfc,"This dataset provides modeled predictions of PM2.5 levels from the EPA's Downscaler model. Data are at the census tract level for 2001-2005. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Census tract-level datasets contain estimates of the mean predicted concentration and associated standard error. Please refer to the metadata attachment for more information.

Learn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action.

By using these data, you signify your agreement to comply with the following requirements:
1. Use the data for statistical reporting and analysis only.
2. Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals.
3. Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov.
4. Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating.
5. Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC.
6. Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking.",,"{'name': 'Daily Census Tract-Level PM2.5 Concentrations, 2001-2005', 'id': 'v5qq-ktfc', 'description': ""This dataset provides modeled predictions of PM2.5 levels from the EPA's Downscaler model. Data are at the census tract level for 2001-2005. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Census tract-level datasets contain estimates of the mean predicted concentration and associated standard error. Please refer to the metadata attachment for more information.\n\nLearn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action.\n\nBy using these data, you signify your agreement to comply with the following requirements:\n1. Use the data for statistical reporting and analysis only.\n2. Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals.\n3. Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov.\n4. Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating.\n5. Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC.\n6. Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Environmental-Health-Toxicology/Daily-Census-Tract-Level-PM2-5-Concentrations-2001/v5qq-ktfc'}"
"Daily Census Tract-Level PM2.5 Concentrations, 2006-2010",fpqb-s69d,fpqb-s69d_1737085884.583072_Daily_Census_Tract_Level_PM2_5_Concentrations_2006.csv.gz,2025-01-17 03:51:24 UTC,https://data.cdc.gov/Environmental-Health-Toxicology/Daily-Census-Tract-Level-PM2-5-Concentrations-2006/fpqb-s69d,"This dataset provides modeled predictions of PM2.5 levels from the EPA's Downscaler model. Data are at the census tract level for 2006-2010. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Census tract-level datasets contain estimates of the mean predicted concentration and associated standard error. Please refer to the metadata attachment for more information.

Learn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action.

By using these data, you signify your agreement to comply with the following requirements: 
1.	Use the data for statistical reporting and analysis only. 
2.	Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals. 
3.	Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov. 
4.	Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating. 
5.	Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC. 
6.	Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking.",,"{'name': 'Daily Census Tract-Level PM2.5 Concentrations, 2006-2010', 'id': 'fpqb-s69d', 'description': ""This dataset provides modeled predictions of PM2.5 levels from the EPA's Downscaler model. Data are at the census tract level for 2006-2010. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Census tract-level datasets contain estimates of the mean predicted concentration and associated standard error. Please refer to the metadata attachment for more information.\r\n\r\nLearn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action.\r\n\r\nBy using these data, you signify your agreement to comply with the following requirements: \r\n1.\tUse the data for statistical reporting and analysis only. \r\n2.\tDo not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals. \r\n3.\tDo not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov. \r\n4.\tDo not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating. \r\n5.\tAcknowledge, in all reports or presentations based on these data, the original source of the data and CDC. \r\n6.\tSuggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Environmental-Health-Toxicology/Daily-Census-Tract-Level-PM2-5-Concentrations-2006/fpqb-s69d'}"
"Daily Census Tract-Level PM2.5 Concentrations, 2006-2010",ujra-cbx5,ujra-cbx5_1737086098.313716_Daily_Census_Tract_Level_PM2_5_Concentrations_2006.csv.gz,2025-01-17 03:54:58 UTC,https://data.cdc.gov/Environmental-Health-Toxicology/Daily-Census-Tract-Level-PM2-5-Concentrations-2006/ujra-cbx5,"This dataset provides modeled predictions of PM2.5 levels from the EPA's Downscaler model. Data are at the census tract level for 2006-2010. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Census tract-level datasets contain estimates of the mean predicted concentration and associated standard error. Please refer to the metadata attachment for more information.

Learn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action.

By using these data, you signify your agreement to comply with the following requirements:
1. Use the data for statistical reporting and analysis only.
2. Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals.
3. Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov.
4. Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating.
5. Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC.
6. Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking.",,"{'name': 'Daily Census Tract-Level PM2.5 Concentrations, 2006-2010', 'id': 'ujra-cbx5', 'description': ""This dataset provides modeled predictions of PM2.5 levels from the EPA's Downscaler model. Data are at the census tract level for 2006-2010. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Census tract-level datasets contain estimates of the mean predicted concentration and associated standard error. Please refer to the metadata attachment for more information.\n\nLearn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action.\n\nBy using these data, you signify your agreement to comply with the following requirements:\n1. Use the data for statistical reporting and analysis only.\n2. Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals.\n3. Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov.\n4. Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating.\n5. Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC.\n6. Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Environmental-Health-Toxicology/Daily-Census-Tract-Level-PM2-5-Concentrations-2006/ujra-cbx5'}"
"Daily Census Tract-Level PM2.5 Concentrations, 2011-2014",fcqm-xrf4,fcqm-xrf4_1737085433.893999_Daily_Census_Tract_Level_PM2_5_Concentrations_2011.csv.gz,2025-01-17 03:43:53 UTC,https://data.cdc.gov/Environmental-Health-Toxicology/Daily-Census-Tract-Level-PM2-5-Concentrations-2011/fcqm-xrf4,"This dataset provides modeled predictions of PM2.5 levels from the EPA's Downscaler model. Data are at the census tract level for 2011-2014. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Census tract-level datasets contain estimates of the mean predicted concentration and associated standard error. Please refer to the metadata attachment for more information.

Learn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action.

By using these data, you signify your agreement to comply with the following requirements: 
1.	Use the data for statistical reporting and analysis only. 
2.	Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals. 
3.	Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov. 
4.	Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating. 
5.	Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC. 
6.	Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking.",,"{'name': 'Daily Census Tract-Level PM2.5 Concentrations, 2011-2014', 'id': 'fcqm-xrf4', 'description': ""This dataset provides modeled predictions of PM2.5 levels from the EPA's Downscaler model. Data are at the census tract level for 2011-2014. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Census tract-level datasets contain estimates of the mean predicted concentration and associated standard error. Please refer to the metadata attachment for more information.\r\n\r\nLearn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action.\r\n\r\nBy using these data, you signify your agreement to comply with the following requirements: \r\n1.\tUse the data for statistical reporting and analysis only. \r\n2.\tDo not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals. \r\n3.\tDo not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov. \r\n4.\tDo not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating. \r\n5.\tAcknowledge, in all reports or presentations based on these data, the original source of the data and CDC. \r\n6.\tSuggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Environmental-Health-Toxicology/Daily-Census-Tract-Level-PM2-5-Concentrations-2011/fcqm-xrf4'}"
"Daily Census Tract-Level PM2.5 Concentrations, 2011-2015",qjxm-7fny,qjxm-7fny_1737085736.475667_Daily_Census_Tract_Level_PM2_5_Concentrations_2011.csv.gz,2025-01-17 03:48:56 UTC,https://data.cdc.gov/Environmental-Health-Toxicology/Daily-Census-Tract-Level-PM2-5-Concentrations-2011/qjxm-7fny,"This dataset provides modeled predictions of PM2.5 levels from the EPA's Downscaler model. Data are at the census tract level for 2011-2015. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Census tract-level datasets contain estimates of the mean predicted concentration and associated standard error. Please refer to the metadata attachment for more information.

Learn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action.

By using these data, you signify your agreement to comply with the following requirements:
1. Use the data for statistical reporting and analysis only.
2. Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals.
3. Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov.
4. Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating.
5. Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC.
6. Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking.",,"{'name': 'Daily Census Tract-Level PM2.5 Concentrations, 2011-2015', 'id': 'qjxm-7fny', 'description': ""This dataset provides modeled predictions of PM2.5 levels from the EPA's Downscaler model. Data are at the census tract level for 2011-2015. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Census tract-level datasets contain estimates of the mean predicted concentration and associated standard error. Please refer to the metadata attachment for more information.\n\nLearn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action.\n\nBy using these data, you signify your agreement to comply with the following requirements:\n1. Use the data for statistical reporting and analysis only.\n2. Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals.\n3. Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov.\n4. Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating.\n5. Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC.\n6. Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Environmental-Health-Toxicology/Daily-Census-Tract-Level-PM2-5-Concentrations-2011/qjxm-7fny'}"
"Daily Census Tract-Level PM2.5 Concentrations, 2016 - 2020",96sd-hxdt,96sd-hxdt_1737085652.511456_Daily_Census_Tract_Level_PM2_5_Concentrations_2016.csv.gz,2025-01-17 03:47:32 UTC,https://data.cdc.gov/Environmental-Health-Toxicology/Daily-Census-Tract-Level-PM2-5-Concentrations-2016/96sd-hxdt,"This dataset provides modeled predictions of PM2.5 levels from the EPA's Downscaler model. Data are at the census tract level for 2016-2020. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Census tract-level datasets contain estimates of the mean predicted concentration and associated standard error. Please refer to the metadata attachment for more information. Learn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action. By using these data, you signify your agreement to comply with the following requirements: 1. Use the data for statistical reporting and analysis only. 2. Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals. 3. Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov. 4. Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating. 5. Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC. 6. Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking.",,"{'name': 'Daily Census Tract-Level PM2.5 Concentrations, 2016 - 2020', 'id': '96sd-hxdt', 'description': ""This dataset provides modeled predictions of PM2.5 levels from the EPA's Downscaler model. Data are at the census tract level for 2016-2020. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Census tract-level datasets contain estimates of the mean predicted concentration and associated standard error. Please refer to the metadata attachment for more information. Learn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action. By using these data, you signify your agreement to comply with the following requirements: 1. Use the data for statistical reporting and analysis only. 2. Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals. 3. Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov. 4. Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating. 5. Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC. 6. Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Environmental-Health-Toxicology/Daily-Census-Tract-Level-PM2-5-Concentrations-2016/96sd-hxdt'}"
"Daily County-Level Ozone Concentrations, 2001-2019",jcn4-jcv5,jcn4-jcv5_1736736109.181532_Daily_County-Level_Ozone_Concentrations__2001-2019_20250113.csv.gz,2025-01-13 02:41:49 UTC,https://data.cdc.gov/Environmental-Health-Toxicology/Daily-County-Level-Ozone-Concentrations-2001-2019/jcn4-jcv5,"This dataset provides modeled predictions of ozone levels from the EPA's Downscaler model. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Data are at the county levels for 2001-2014. The dataset includes the maximum, median, mean, and population-weighted mean concentration. Please refer to the metadata attachment for more information.

Learn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action.

By using these data, you signify your agreement to comply with the following requirements:
1. Use the data for statistical reporting and analysis only.
2. Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals.
3. Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov.
4. Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating.
5. Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC.
6. Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking.","<https://data.cdc.gov/Environmental-Health-Toxicology/Daily-County-Level-Ozone-Concentrations-2001-2019/jcn4-jcv5>; rel=""original"",
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<http://web.archive.org/web/20241126083624/https://data.cdc.gov/Environmental-Health-Toxicology/Daily-County-Level-Ozone-Concentrations-2001-2019/jcn4-jcv5>; rel=""memento""; datetime=""Tue, 26 Nov 2024 08:36:24 GMT"",
<http://web.archive.org/web/20250201012244/https://data.cdc.gov/Environmental-Health-Toxicology/Daily-County-Level-Ozone-Concentrations-2001-2019/jcn4-jcv5>; rel=""memento""; datetime=""Sat, 01 Feb 2025 01:22:44 GMT"",
<http://web.archive.org/web/20250201211347/https://data.cdc.gov/Environmental-Health-Toxicology/Daily-County-Level-Ozone-Concentrations-2001-2019/jcn4-jcv5>; rel=""memento""; datetime=""Sat, 01 Feb 2025 21:13:47 GMT"",
<http://web.archive.org/web/20250202232621/https://data.cdc.gov/Environmental-Health-Toxicology/Daily-County-Level-Ozone-Concentrations-2001-2019/jcn4-jcv5>; rel=""memento""; datetime=""Sun, 02 Feb 2025 23:26:21 GMT"",
<http://web.archive.org/web/20250203082739/https://data.cdc.gov/Environmental-Health-Toxicology/Daily-County-Level-Ozone-Concentrations-2001-2019/jcn4-jcv5>; rel=""memento""; datetime=""Mon, 03 Feb 2025 08:27:39 GMT"",
<http://web.archive.org/web/20250203232306/https://data.cdc.gov/Environmental-Health-Toxicology/Daily-County-Level-Ozone-Concentrations-2001-2019/jcn4-jcv5>; rel=""memento""; datetime=""Mon, 03 Feb 2025 23:23:06 GMT"",
<http://web.archive.org/web/20250209193946/https://data.cdc.gov/Environmental-Health-Toxicology/Daily-County-Level-Ozone-Concentrations-2001-2019/jcn4-jcv5/>; rel=""memento""; datetime=""Sun, 09 Feb 2025 19:39:46 GMT"",
<http://web.archive.org/web/20250209194005/https://data.cdc.gov/Environmental-Health-Toxicology/Daily-County-Level-Ozone-Concentrations-2001-2019/jcn4-jcv5>; rel=""memento""; datetime=""Sun, 09 Feb 2025 19:40:05 GMT"",
<http://web.archive.org/web/20250209194008/https://data.cdc.gov/Environmental-Health-Toxicology/Daily-County-Level-Ozone-Concentrations-2001-2019/jcn4-jcv5>; rel=""memento""; datetime=""Sun, 09 Feb 2025 19:40:08 GMT""
","{'name': 'Daily County-Level Ozone Concentrations, 2001-2019', 'id': 'jcn4-jcv5', 'description': ""This dataset provides modeled predictions of ozone levels from the EPA's Downscaler model. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Data are at the county levels for 2001-2014. The dataset includes the maximum, median, mean, and population-weighted mean concentration. Please refer to the metadata attachment for more information.\n\nLearn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action.\n\nBy using these data, you signify your agreement to comply with the following requirements:\n1. Use the data for statistical reporting and analysis only.\n2. Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals.\n3. Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov.\n4. Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating.\n5. Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC.\n6. Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Environmental-Health-Toxicology/Daily-County-Level-Ozone-Concentrations-2001-2019/jcn4-jcv5'}"
"Daily County-Level PM2.5 Concentrations, 2001-2014",qjju-smys,qjju-smys_1737085660.350476_Daily_County_Level_PM2_5_Concentrations_2001_2014.csv.gz,2025-01-17 03:47:40 UTC,https://data.cdc.gov/Environmental-Health-Toxicology/Daily-County-Level-PM2-5-Concentrations-2001-2014/qjju-smys,"This dataset provides modeled predictions of particulate matter (PM2.5) levels from the EPA's Downscaler model. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Data are at the county levels for 2001-2014. The dataset includes the maximum, median, mean, and population-weighted mean concentration. Please refer to the metadata attachment for more information.

Learn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action.

By using these data, you signify your agreement to comply with the following requirements: 
1.	Use the data for statistical reporting and analysis only. 
2.	Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals. 
3.	Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov. 
4.	Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating. 
5.	Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC. 
6.	Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking. 

Problems or Questions? 
Email trackingsupport@cdc.gov.",,"{'name': 'Daily County-Level PM2.5 Concentrations, 2001-2014', 'id': 'qjju-smys', 'description': ""This dataset provides modeled predictions of particulate matter (PM2.5) levels from the EPA's Downscaler model. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Data are at the county levels for 2001-2014. The dataset includes the maximum, median, mean, and population-weighted mean concentration. Please refer to the metadata attachment for more information.\r\n\r\nLearn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action.\r\n\r\nBy using these data, you signify your agreement to comply with the following requirements: \r\n1.\tUse the data for statistical reporting and analysis only. \r\n2.\tDo not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals. \r\n3.\tDo not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov. \r\n4.\tDo not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating. \r\n5.\tAcknowledge, in all reports or presentations based on these data, the original source of the data and CDC. \r\n6.\tSuggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking. \r\n\r\nProblems or Questions? \r\nEmail trackingsupport@cdc.gov."", 'datatype': 'tabular', 'keywords': ['demographics', 'health', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Environmental-Health-Toxicology/Daily-County-Level-PM2-5-Concentrations-2001-2014/qjju-smys'}"
"Daily County-Level PM2.5 Concentrations, 2001-2019",dqwm-pbi7,dqwm-pbi7_1736723267.287690_Daily_County-Level_PM2.5_Concentrations__2001-2019_20250112.csv.gz,2025-01-12 23:07:47 UTC,https://data.cdc.gov/Environmental-Health-Toxicology/Daily-County-Level-PM2-5-Concentrations-2001-2019/dqwm-pbi7,"This dataset provides modeled predictions of PM2.5 levels from the EPA's Downscaler model. Data are at the county level for 2001-2019. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Census tract-level datasets contain estimates of the mean predicted concentration and associated standard error. Please refer to the metadata attachment for more information.

Learn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action.

By using these data, you signify your agreement to comply with the following requirements:
1. Use the data for statistical reporting and analysis only.
2. Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals.
3. Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov.
4. Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating.
5. Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC.
6. Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking.",,"{'name': 'Daily County-Level PM2.5 Concentrations, 2001-2019', 'id': 'dqwm-pbi7', 'description': ""This dataset provides modeled predictions of PM2.5 levels from the EPA's Downscaler model. Data are at the county level for 2001-2019. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Census tract-level datasets contain estimates of the mean predicted concentration and associated standard error. Please refer to the metadata attachment for more information.\n\nLearn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action.\n\nBy using these data, you signify your agreement to comply with the following requirements:\n1. Use the data for statistical reporting and analysis only.\n2. Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals.\n3. Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov.\n4. Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating.\n5. Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC.\n6. Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Environmental-Health-Toxicology/Daily-County-Level-PM2-5-Concentrations-2001-2019/dqwm-pbi7'}"
"Death rates for suicide, by sex, race, Hispanic origin, and age: United States",9j2v-jamp,9j2v-jamp_1736712814.743276_Death_rates_for_suicide__by_sex__race__Hispanic_origin__and_age__United_States_20250112.csv.gz,2025-01-12 20:13:34 UTC,https://data.cdc.gov/NCHS/Death-rates-for-suicide-by-sex-race-Hispanic-origi/9j2v-jamp,"Data on death rates for suicide, by selected population characteristics. Please refer to the PDF or Excel version of this table in the HUS 2019 Data Finder (https://www.cdc.gov/nchs/hus/contents2019.htm) for critical information about measures, definitions, and changes over time. 

SOURCE: NCHS, National  Vital Statistics System (NVSS); Grove RD, Hetzel AM. Vital statistics rates in the United States, 1940–1960. National Center for Health Statistics. 1968; numerator data from NVSS annual public-use Mortality Files; denominator data from U.S. Census Bureau national population estimates; and Murphy SL, Xu JQ, Kochanek KD, Arias E, Tejada-Vera B. Deaths: Final data for 2018. National Vital Statistics Reports; vol 69 no 13. Hyattsville, MD: National Center for Health Statistics. 2021. Available from: https://www.cdc.gov/nchs/products/nvsr.htm. For more information on the National Vital Statistics System, see the corresponding Appendix entry at https://www.cdc.gov/nchs/data/hus/hus19-appendix-508.pdf.",,"{'name': 'Death rates for suicide, by sex, race, Hispanic origin, and age: United States', 'id': '9j2v-jamp', 'description': 'Data on death rates for suicide, by selected population characteristics. Please refer to the PDF or Excel version of this table in the HUS 2019 Data Finder (https://www.cdc.gov/nchs/hus/contents2019.htm) for critical information about measures, definitions, and changes over time. \n\nSOURCE: NCHS, National  Vital Statistics System (NVSS); Grove RD, Hetzel AM. Vital statistics rates in the United States, 1940–1960. National Center for Health Statistics. 1968; numerator data from NVSS annual public-use Mortality Files; denominator data from U.S. Census Bureau national population estimates; and Murphy SL, Xu JQ, Kochanek KD, Arias E, Tejada-Vera B. Deaths: Final data for 2018. National Vital Statistics Reports; vol 69 no 13. Hyattsville, MD: National Center for Health Statistics. 2021. Available from: https://www.cdc.gov/nchs/products/nvsr.htm. For more information on the National Vital Statistics System, see the corresponding Appendix entry at https://www.cdc.gov/nchs/data/hus/hus19-appendix-508.pdf.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Death-rates-for-suicide-by-sex-race-Hispanic-origi/9j2v-jamp'}"
"Deaths from Pneumonia and Influenza (P&I) and all deaths, by state and region, National Center For Health Statistics Mortality Surveillance System",pp7x-dyj2,pp7x-dyj2_1736709861.589702_Deaths_from_Pneumonia_and_Influenza__P_I__and_all_deaths__by_state_and_region__National_Center_For_Health_Statistics_Mortality_Surveillance_System_20250112.csv.gz,2025-01-12 19:24:21 UTC,https://data.cdc.gov/Health-Statistics/Deaths-from-Pneumonia-and-Influenza-P-I-and-all-de/pp7x-dyj2,,,"{'name': 'Deaths from Pneumonia and Influenza (P&I) and all deaths, by state and region, National Center For Health Statistics Mortality Surveillance System', 'id': 'pp7x-dyj2', 'description': '', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Health-Statistics/Deaths-from-Pneumonia-and-Influenza-P-I-and-all-de/pp7x-dyj2'}"
Deaths in 122 U.S. cities - 1962-2016. 122 Cities Mortality Reporting System,mr8w-325u,mr8w-325u_1736714199.409874_Deaths_in_122_U.S._cities_-_1962-2016._122_Cities_Mortality_Reporting_System_20250112.csv.gz,2025-01-12 20:36:39 UTC,https://data.cdc.gov/dataset/Deaths-in-122-U-S-cities-1962-2016-122-Cities-Mort/mr8w-325u,"This file contains the complete set of data reported to 122 Cities Mortality Reposting System.  The system was retired as of 10/6/2016.  While the system was running each week, the vital statistics offices of 122 cities across the United States reported the total number of death certificates processed and the number of those for which pneumonia or influenza was listed as the underlying or contributing cause of death by age group (Under 28 days, 28 days - 1 year, 1-14 years, 15-24 years, 25-44 years, 45-64 years, 65-74 years, 75-84 years, and - 85 years).  U:Unavailable. - : No reported cases.* Mortality data in this table were voluntarily reported from 122 cities in the United States, most of which have populations of >100,000. A death is reported by the place of its occurrence and by the week that the death certificate was filed. Fetal deaths are not included.  Total includes unknown ages. 
More information on Flu Activity & Surveillance is available at http://www.cdc.gov/flu/weekly/fluactivitysurv.htm.",,"{'name': 'Deaths in 122 U.S. cities - 1962-2016. 122 Cities Mortality Reporting System', 'id': 'mr8w-325u', 'description': 'This file contains the complete set of data reported to 122 Cities Mortality Reposting System.  The system was retired as of 10/6/2016.  While the system was running each week, the vital statistics offices of 122 cities across the United States reported the total number of death certificates processed and the number of those for which pneumonia or influenza was listed as the underlying or contributing cause of death by age group (Under 28 days, 28 days - 1 year, 1-14 years, 15-24 years, 25-44 years, 45-64 years, 65-74 years, 75-84 years, and - 85 years).  U:Unavailable. - : No reported cases.* Mortality data in this table were voluntarily reported from 122 cities in the United States, most of which have populations of >100,000. A death is reported by the place of its occurrence and by the week that the death certificate was filed. Fetal deaths are not included.  Total includes unknown ages. \nMore information on Flu Activity & Surveillance is available at http://www.cdc.gov/flu/weekly/fluactivitysurv.htm.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/dataset/Deaths-in-122-U-S-cities-1962-2016-122-Cities-Mort/mr8w-325u'}"
"Delay or nonreceipt of needed medical care, prescription drugs, or dental care during the past 12 months due to cost: United States",dmzy-x2ad,dmzy-x2ad_1736719167.611648_Delay_or_nonreceipt_of_needed_medical_care__prescription_drugs__or_dental_care_during_the_past_12_months_due_to_cost__United_States_20250112.csv.gz,2025-01-12 21:59:27 UTC,https://data.cdc.gov/NCHS/Delay-or-nonreceipt-of-needed-medical-care-prescri/dmzy-x2ad,"Data on delay or nonreceipt of needed medical care, nonreceipt of needed prescription drugs, or nonreceipt of needed dental care during the past 12 months due to cost by selected population characteristics. Please refer to the PDF or Excel version of this table in the HUS 2019 Data Finder (https://www.cdc.gov/nchs/hus/contents2019.htm) for critical information about measures, definitions, and changes over time. 

SOURCE: NCHS, National Health Interview Survey, Family Core, Sample Child, and Sample Adult questionnaires. Data for level of difficulty are from the 2010 Quality of Life, 2011-2017 Functioning and Disability, and 2018 Sample Adult questionnaires. For more information on the National Health Interview Survey, see the corresponding Appendix entry at https://www.cdc.gov/nchs/data/hus/hus19-appendix-508.pdf.",,"{'name': 'Delay or nonreceipt of needed medical care, prescription drugs, or dental care during the past 12 months due to cost: United States', 'id': 'dmzy-x2ad', 'description': 'Data on delay or nonreceipt of needed medical care, nonreceipt of needed prescription drugs, or nonreceipt of needed dental care during the past 12 months due to cost by selected population characteristics. Please refer to the PDF or Excel version of this table in the HUS 2019 Data Finder (https://www.cdc.gov/nchs/hus/contents2019.htm) for critical information about measures, definitions, and changes over time. \n\nSOURCE: NCHS, National Health Interview Survey, Family Core, Sample Child, and Sample Adult questionnaires. Data for level of difficulty are from the 2010 Quality of Life, 2011-2017 Functioning and Disability, and 2018 Sample Adult questionnaires. For more information on the National Health Interview Survey, see the corresponding Appendix entry at https://www.cdc.gov/nchs/data/hus/hus19-appendix-508.pdf.', 'datatype': 'tabular', 'keywords': ['demographics', 'health', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Delay-or-nonreceipt-of-needed-medical-care-prescri/dmzy-x2ad'}"
"Differences in Cumulative Influenza Vaccination Coverage by Selected Demographics, Adults 18 Year and Older, NIS Adult COVID Module",v22g-tzpk,v22g-tzpk_1736728456.567106_Differences_in_Cumulative_Influenza_Vaccination_Coverage_by_Selected_Demographics__Adults_18_Year_and_Older__NIS_Adult_COVID_Module_20250113.csv.gz,2025-01-13 00:34:16 UTC,https://data.cdc.gov/Vaccinations/Differences-in-Cumulative-Influenza-Vaccination-Co/v22g-tzpk,"Differences in Cumulative Influenza Vaccination Coverage by Selected Demographics, Adults 18 Year and Older, NIS Adult COVID Module

• The National Immunization Survey-Adult COVID Module (NIS-ACM) was launched in April 2021 among adults 18 years and older. The survey was used to monitor COVID-19 vaccination uptake and confidence in vaccination among adults and included questions about influenza vaccination.",,"{'name': 'Differences in Cumulative Influenza Vaccination Coverage by Selected Demographics, Adults 18 Year and Older, NIS Adult COVID Module', 'id': 'v22g-tzpk', 'description': 'Differences in Cumulative Influenza Vaccination Coverage by Selected Demographics, Adults 18 Year and Older, NIS Adult COVID Module\n\n• The National Immunization Survey-Adult COVID Module (NIS-ACM) was launched in April 2021 among adults 18 years and older. The survey was used to monitor COVID-19 vaccination uptake and confidence in vaccination among adults and included questions about influenza vaccination.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/Differences-in-Cumulative-Influenza-Vaccination-Co/v22g-tzpk'}"
Disability and Health Data System (DHDS),k62p-6esq,k62p-6esq_1736709935.510248_Disability_and_Health_Data_System__DHDS__20250112.csv.gz,2025-01-12 19:25:35 UTC,https://data.cdc.gov/Disability-Health/Disability-and-Health-Data-System-DHDS-/k62p-6esq,"Disability and Health Data System (DHDS) is an online source of state-level data on adults with disabilities. Users can access information on six functional disability types: cognitive (serious difficulty concentrating, remembering or making decisions), hearing (serious difficulty hearing or deaf), mobility (serious difficulty walking or climbing stairs), vision (serious difficulty seeing), self-care (difficulty dressing or bathing) and independent living (difficulty doing errands alone).",,"{'name': 'Disability and Health Data System (DHDS)', 'id': 'k62p-6esq', 'description': 'Disability and Health Data System (DHDS) is an online source of state-level data on adults with disabilities. Users can access information on six functional disability types: cognitive (serious difficulty concentrating, remembering or making decisions), hearing (serious difficulty hearing or deaf), mobility (serious difficulty walking or climbing stairs), vision (serious difficulty seeing), self-care (difficulty dressing or bathing) and independent living (difficulty doing errands alone).', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Disability-Health/Disability-and-Health-Data-System-DHDS-/k62p-6esq'}"
Disability-Related Disparities in Cigarette Smoking Among Adults,k5tv-6cfx,k5tv-6cfx_1736738911.536006_Disability-Related_Disparities_in_Cigarette_Smoking_Among_Adults_20250113.csv.gz,2025-01-13 03:28:31 UTC,https://data.cdc.gov/Survey-Data/Disability-Related-Disparities-in-Cigarette-Smokin/k5tv-6cfx,"2011–2023. The tobacco disparities dashboard data utilized the Behavioral Risk Factor Surveillance System (BRFSS) data to measure cigarette smoking disparities by disability. The disparity value is the relative difference in the cigarette smoking prevalence among adults 18 and older in a focus group divided by the cigarette smoking prevalence among adults 18 and older in a reference group. A disparity value above 1 indicates that adults in the focus group smoke cigarettes at a higher rate, as reflected by the disparity value, compared with the rate among adults in the reference group who smoke cigarettes. A disparity value below 1 indicates that adults in the focus group smoke cigarettes at a lower rate, as reflected by the disparity value, compared with the rate among adults in the reference group who smoke cigarettes. A disparity value of 1 means there is no relative difference in the rate of adults who smoke cigarettes for the two groups compared.",,"{'name': 'Disability-Related Disparities in Cigarette Smoking Among Adults', 'id': 'k5tv-6cfx', 'description': '2011–2023. The tobacco disparities dashboard data utilized the Behavioral Risk Factor Surveillance System (BRFSS) data to measure cigarette smoking disparities by disability. The disparity value is the relative difference in the cigarette smoking prevalence among adults 18 and older in a focus group divided by the cigarette smoking prevalence among adults 18 and older in a reference group. A disparity value above 1 indicates that adults in the focus group smoke cigarettes at a higher rate, as reflected by the disparity value, compared with the rate among adults in the reference group who smoke cigarettes. A disparity value below 1 indicates that adults in the focus group smoke cigarettes at a lower rate, as reflected by the disparity value, compared with the rate among adults in the reference group who smoke cigarettes. A disparity value of 1 means there is no relative difference in the rate of adults who smoke cigarettes for the two groups compared.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Survey-Data/Disability-Related-Disparities-in-Cigarette-Smokin/k5tv-6cfx'}"
"Distribution of COVID-19 Deaths and Populations, by Jurisdiction, Age, and Race and Hispanic Origin",jwta-jxbg,jwta-jxbg_1736710592.282040_Distribution_of_COVID-19_Deaths_and_Populations__by_Jurisdiction__Age__and_Race_and_Hispanic_Origin_20250112.csv.gz,2025-01-12 19:36:32 UTC,https://data.cdc.gov/NCHS/Distribution-of-COVID-19-Deaths-and-Populations-by/jwta-jxbg,"Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.

This visualization provides data that can be used to illustrate potential differences in the burden of deaths due to COVID-19 by race and ethnicity.",,"{'name': 'Distribution of COVID-19 Deaths and Populations, by Jurisdiction, Age, and Race and Hispanic Origin', 'id': 'jwta-jxbg', 'description': 'Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.\n\nThis visualization provides data that can be used to illustrate potential differences in the burden of deaths due to COVID-19 by race and ethnicity.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Distribution-of-COVID-19-Deaths-and-Populations-by/jwta-jxbg'}"
Drug Use Data from Selected Hospitals,gypc-kpgn,gypc-kpgn_1736718083.511726_Drug_Use_Data_from_Selected_Hospitals_20250112.csv.gz,2025-01-12 21:41:23 UTC,https://data.cdc.gov/NCHS/Drug-Use-Data-from-Selected-Hospitals/gypc-kpgn,"The National Hospital Care Survey (NHCS) collects data on patient care in hospital-based settings to describe patterns of health care delivery and utilization in the United States. Settings currently include inpatient and emergency departments (ED). From this collection, the NHCS contributes data that may inform emerging national health threats such as the current opioid public health emergency. The 2022 - 2024 NHCS are not yet fully operational so it is important to note that the data presented here are preliminary and not nationally representative.

The data are from 24 hospitals submitting inpatient and 23 hospitals submitting ED Uniform Bill (UB)-04 administrative claims from October 1, 2022–September 30, 2024. Even though the data are not nationally representative, they can provide insight into the use of opioids and other overdose drugs. The NHCS data is submitted from various types of hospitals (e.g., general/acute, children’s, etc.) and can show results from a variety of indicators related to drug use, such as overall drug use, comorbidities, and drug and polydrug overdose. NHCS data can also be used to report on patient conditions within the hospital over time.",,"{'name': 'Drug Use Data from Selected Hospitals', 'id': 'gypc-kpgn', 'description': 'The National Hospital Care Survey (NHCS) collects data on patient care in hospital-based settings to describe patterns of health care delivery and utilization in the United States. Settings currently include inpatient and emergency departments (ED). From this collection, the NHCS contributes data that may inform emerging national health threats such as the current opioid public health emergency. The 2022 - 2024 NHCS are not yet fully operational so it is important to note that the data presented here are preliminary and not nationally representative.\n\nThe data are from 24 hospitals submitting inpatient and 23 hospitals submitting ED Uniform Bill (UB)-04 administrative claims from October 1, 2022–September 30, 2024. Even though the data are not nationally representative, they can provide insight into the use of opioids and other overdose drugs. The NHCS data is submitted from various types of hospitals (e.g., general/acute, children’s, etc.) and can show results from a variety of indicators related to drug use, such as overall drug use, comorbidities, and drug and polydrug overdose. NHCS data can also be used to report on patient conditions within the hospital over time.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Drug-Use-Data-from-Selected-Hospitals/gypc-kpgn'}"
"Drug overdose death rates, by drug type, sex, age, race, and Hispanic origin: United States",95ax-ymtc,95ax-ymtc_1736712743.314671_Drug_overdose_death_rates__by_drug_type__sex__age__race__and_Hispanic_origin__United_States_20250112.csv.gz,2025-01-12 20:12:23 UTC,https://data.cdc.gov/NCHS/Drug-overdose-death-rates-by-drug-type-sex-age-rac/95ax-ymtc,"Data on drug overdose death rates, by drug type and selected population characteristics. Please refer to the PDF or Excel version of this table in the HUS 2019 Data Finder (https://www.cdc.gov/nchs/hus/contents2019.htm) for critical information about measures, definitions, and changes over time. 

SOURCE: NCHS, National Vital Statistics System, numerator data from annual public-use Mortality Files; denominator data from U.S. Census Bureau national population estimates; and Murphy SL, Xu JQ, Kochanek KD, Arias E, Tejada-Vera B. Deaths: Final data for 2018. National Vital Statistics Reports; vol 69 no 13. Hyattsville, MD: National Center for Health Statistics.2021. Available from: https://www.cdc.gov/nchs/products/nvsr.htm. For more information on the National Vital Statistics System, see the corresponding Appendix entry at https://www.cdc.gov/nchs/data/hus/hus19-appendix-508.pdf.",,"{'name': 'Drug overdose death rates, by drug type, sex, age, race, and Hispanic origin: United States', 'id': '95ax-ymtc', 'description': 'Data on drug overdose death rates, by drug type and selected population characteristics. Please refer to the PDF or Excel version of this table in the HUS 2019 Data Finder (https://www.cdc.gov/nchs/hus/contents2019.htm) for critical information about measures, definitions, and changes over time. \n\nSOURCE: NCHS, National Vital Statistics System, numerator data from annual public-use Mortality Files; denominator data from U.S. Census Bureau national population estimates; and Murphy SL, Xu JQ, Kochanek KD, Arias E, Tejada-Vera B. Deaths: Final data for 2018. National Vital Statistics Reports; vol 69 no 13. Hyattsville, MD: National Center for Health Statistics.2021. Available from: https://www.cdc.gov/nchs/products/nvsr.htm. For more information on the National Vital Statistics System, see the corresponding Appendix entry at https://www.cdc.gov/nchs/data/hus/hus19-appendix-508.pdf.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Drug-overdose-death-rates-by-drug-type-sex-age-rac/95ax-ymtc'}"
"Early Model-based Provisional Estimates of Drug Overdose, Suicide, and Transportation-related Deaths",v2g4-wqg2,v2g4-wqg2_1736715795.561996_Early_Model-based_Provisional_Estimates_of_Drug_Overdose__Suicide__and_Transportation-related_Deaths_20250112.csv.gz,2025-01-12 21:03:15 UTC,https://data.cdc.gov/NCHS/Early-Model-based-Provisional-Estimates-of-Drug-Ov/v2g4-wqg2,"This dataset provides model-based provisional estimates of the weekly numbers of drug overdose, suicide, and transportation-related deaths using “nowcasting” methods to account for the normal lag between the occurrence and reporting of these deaths. Estimates less than 10 are suppressed. These early model-based provisional estimates were generated using a multi-stage hierarchical Bayesian modeling process to generate smoothed estimates of the weekly numbers of death, accounting for reporting lags. These estimates are based on several assumptions about how the reporting lags have changed in recent months across different jurisdictions, and the resulting estimates differ from other sources of provisional mortality data.  For now, these estimates should be considered highly uncertain until further evaluations can be done to determine the validity of these assumptions about timeliness. The true patterns in reporting lags will not be known until data are finalized, typically 11–12 months after the end of the calendar year. Importantly, these estimates are not a replacement for monthly provisional drug overdose death counts, or quarterly provisional mortality estimates. For more detail about the nowcasting methods and models, see:

Rossen LM, Hedegaard H, Warner M, Ahmad FB, Sutton PD. Early provisional estimates of drug overdose, suicide, and transportation-related deaths: Nowcasting methods to account for reporting lags. Vital Statistics Rapid Release; no 11. Hyattsville, MD: National Center for Health Statistics. February 2021. DOI: https://doi.org/10.15620/ cdc:101132",,"{'name': 'Early Model-based Provisional Estimates of Drug Overdose, Suicide, and Transportation-related Deaths', 'id': 'v2g4-wqg2', 'description': 'This dataset provides model-based provisional estimates of the weekly numbers of drug overdose, suicide, and transportation-related deaths using “nowcasting” methods to account for the normal lag between the occurrence and reporting of these deaths. Estimates less than 10 are suppressed. These early model-based provisional estimates were generated using a multi-stage hierarchical Bayesian modeling process to generate smoothed estimates of the weekly numbers of death, accounting for reporting lags. These estimates are based on several assumptions about how the reporting lags have changed in recent months across different jurisdictions, and the resulting estimates differ from other sources of provisional mortality data.  For now, these estimates should be considered highly uncertain until further evaluations can be done to determine the validity of these assumptions about timeliness. The true patterns in reporting lags will not be known until data are finalized, typically 11–12 months after the end of the calendar year. Importantly, these estimates are not a replacement for monthly provisional drug overdose death counts, or quarterly provisional mortality estimates. For more detail about the nowcasting methods and models, see:\n\nRossen LM, Hedegaard H, Warner M, Ahmad FB, Sutton PD. Early provisional estimates of drug overdose, suicide, and transportation-related deaths: Nowcasting methods to account for reporting lags. Vital Statistics Rapid Release; no 11. Hyattsville, MD: National Center for Health Statistics. February 2021. DOI: https://doi.org/10.15620/ cdc:101132', 'datatype': 'tabular', 'keywords': ['demographics', 'public safety', 'transportation', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Early-Model-based-Provisional-Estimates-of-Drug-Ov/v2g4-wqg2'}"
Education Attained Disparities in Cigarette Smoking Among Adults,vijd-yhjk,vijd-yhjk_1736738817.904711_Education_Attained_Disparities_in_Cigarette_Smoking_Among_Adults_20250113.csv.gz,2025-01-13 03:26:57 UTC,https://data.cdc.gov/Survey-Data/Education-Attained-Disparities-in-Cigarette-Smokin/vijd-yhjk,"2011–2023. The tobacco disparities dashboard data utilized the Behavioral Risk Factor Surveillance System (BRFSS) data to measure cigarette smoking disparities by education. The disparity value is the relative difference in the cigarette smoking prevalence among adults 18 and older in a focus group divided by the cigarette smoking prevalence among adults 18 and older in a reference group. A disparity value above 1 indicates that adults in the focus group smoke cigarettes at a higher rate, as reflected by the disparity value, compared with the rate among adults in the reference group who smoke cigarettes. A disparity value below 1 indicates that adults in the focus group smoke cigarettes at a lower rate, as reflected by the disparity value, compared with the rate among adults in the reference group who smoke cigarettes. A disparity value of 1 means there is no relative difference in the rate of adults who smoke cigarettes for the two groups compared.",,"{'name': 'Education Attained Disparities in Cigarette Smoking Among Adults', 'id': 'vijd-yhjk', 'description': '2011–2023. The tobacco disparities dashboard data utilized the Behavioral Risk Factor Surveillance System (BRFSS) data to measure cigarette smoking disparities by education. The disparity value is the relative difference in the cigarette smoking prevalence among adults 18 and older in a focus group divided by the cigarette smoking prevalence among adults 18 and older in a reference group. A disparity value above 1 indicates that adults in the focus group smoke cigarettes at a higher rate, as reflected by the disparity value, compared with the rate among adults in the reference group who smoke cigarettes. A disparity value below 1 indicates that adults in the focus group smoke cigarettes at a lower rate, as reflected by the disparity value, compared with the rate among adults in the reference group who smoke cigarettes. A disparity value of 1 means there is no relative difference in the rate of adults who smoke cigarettes for the two groups compared.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Survey-Data/Education-Attained-Disparities-in-Cigarette-Smokin/vijd-yhjk'}"
"Efforts to sustain education and subsidized meal programs during COVID-19-related school closures, United States, March-June 2020",jkmz-c8jz,jkmz-c8jz_1736732854.345536_Efforts_to_sustain_education_and_subsidized_meal_programs_during_COVID-19-related_school_closures__United_States__March-June_2020_20250113.csv.gz,2025-01-13 01:47:34 UTC,https://data.cdc.gov/Policy-Surveillance/Efforts-to-sustain-education-and-subsidized-meal-p/jkmz-c8jz,"Data on distance learning and supplemental feeding programs were collected from a stratified sample of 600 school districts. School districts were divided into quartiles based on the percentage of students eligible for free/reduced-price lunch, an indicator of family economic status, as reported by the National Center for Education Statistics (https://nces.ed.gov/ccd/). A simple random sample was taken in each stratum, and sample size per stratum was calculated using 95% confidence interval of 50% ± 10%. Data on the availability and method of delivery of both distance learning and supplemental feeding programs were collected from publicly available announcements on school district websites and their official social media pages (Facebook, Twitter). Google searches were performed for news resources when information was not available from online district sources.","<https://data.cdc.gov/Policy-Surveillance/Efforts-to-sustain-education-and-subsidized-meal-p/jkmz-c8jz>; rel=""original"",
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<http://web.archive.org/web/20241126064840/https://data.cdc.gov/Policy-Surveillance/Efforts-to-sustain-education-and-subsidized-meal-p/jkmz-c8jz>; rel=""memento""; datetime=""Tue, 26 Nov 2024 06:48:40 GMT"",
<http://web.archive.org/web/20250118073708/https://data.cdc.gov/Policy-Surveillance/Efforts-to-sustain-education-and-subsidized-meal-p/jkmz-c8jz>; rel=""memento""; datetime=""Sat, 18 Jan 2025 07:37:08 GMT"",
<http://web.archive.org/web/20250201024826/https://data.cdc.gov/Policy-Surveillance/Efforts-to-sustain-education-and-subsidized-meal-p/jkmz-c8jz>; rel=""memento""; datetime=""Sat, 01 Feb 2025 02:48:26 GMT"",
<http://web.archive.org/web/20250201211815/https://data.cdc.gov/Policy-Surveillance/Efforts-to-sustain-education-and-subsidized-meal-p/jkmz-c8jz>; rel=""memento""; datetime=""Sat, 01 Feb 2025 21:18:15 GMT"",
<http://web.archive.org/web/20250202015937/https://data.cdc.gov/Policy-Surveillance/Efforts-to-sustain-education-and-subsidized-meal-p/jkmz-c8jz>; rel=""memento""; datetime=""Sun, 02 Feb 2025 01:59:37 GMT"",
<http://web.archive.org/web/20250202085747/https://data.cdc.gov/Policy-Surveillance/Efforts-to-sustain-education-and-subsidized-meal-p/jkmz-c8jz>; rel=""memento""; datetime=""Sun, 02 Feb 2025 08:57:47 GMT"",
<http://web.archive.org/web/20250204143139/https://data.cdc.gov/Policy-Surveillance/Efforts-to-sustain-education-and-subsidized-meal-p/jkmz-c8jz>; rel=""memento""; datetime=""Tue, 04 Feb 2025 14:31:39 GMT"",
<http://web.archive.org/web/20250205133036/https://data.cdc.gov/Policy-Surveillance/Efforts-to-sustain-education-and-subsidized-meal-p/jkmz-c8jz>; rel=""memento""; datetime=""Wed, 05 Feb 2025 13:30:36 GMT"",
<http://web.archive.org/web/20250210142458/https://data.cdc.gov/Policy-Surveillance/Efforts-to-sustain-education-and-subsidized-meal-p/jkmz-c8jz>; rel=""memento""; datetime=""Mon, 10 Feb 2025 14:24:58 GMT"",
<http://web.archive.org/web/20250210142502/https://data.cdc.gov/Policy-Surveillance/Efforts-to-sustain-education-and-subsidized-meal-p/jkmz-c8jz/>; rel=""memento""; datetime=""Mon, 10 Feb 2025 14:25:02 GMT"",
<http://web.archive.org/web/20250210142520/https://data.cdc.gov/Policy-Surveillance/Efforts-to-sustain-education-and-subsidized-meal-p/jkmz-c8jz>; rel=""memento""; datetime=""Mon, 10 Feb 2025 14:25:20 GMT""
","{'name': 'Efforts to sustain education and subsidized meal programs during COVID-19-related school closures, United States, March-June 2020', 'id': 'jkmz-c8jz', 'description': 'Data on distance learning and supplemental feeding programs were collected from a stratified sample of 600 school districts. School districts were divided into quartiles based on the percentage of students eligible for free/reduced-price lunch, an indicator of family economic status, as reported by the National Center for Education Statistics (https://nces.ed.gov/ccd/). A simple random sample was taken in each stratum, and sample size per stratum was calculated using 95% confidence interval of 50% ± 10%. Data on the availability and method of delivery of both distance learning and supplemental feeding programs were collected from publicly available announcements on school district websites and their official social media pages (Facebook, Twitter). Google searches were performed for news resources when information was not available from online district sources.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Policy-Surveillance/Efforts-to-sustain-education-and-subsidized-meal-p/jkmz-c8jz'}"
Electronic Health Information Legal Epidemiology Data Set 2014,wngq-sdai,wngq-sdai_1736722719.907724_Electronic_Health_Information_Legal_Epidemiology_Data_Set_2014_20250112.csv.gz,2025-01-12 22:58:39 UTC,https://data.cdc.gov/dataset/Electronic-Health-Information-Legal-Epidemiology-D/wngq-sdai,"Authors: Cason Schmit, JD, Gregory Sunshine, JD, Dawn Pepin, JD, MPH, Tara Ramanathan, JD, MPH, Akshara Menon, JD, MPH, Matthew Penn, JD, MLIS
This legal data set consists of state statutes and regulations in effect as of January 1, 2014, related to electronic health information (EHI). Jurisdictions were limited to US states, territories, and the District of Columbia that had statutes and regulations in the Westlaw legal database that expressly referenced EHI. This data set includes 2,364 EHI-related laws representing 49 EHI uses in 54 jurisdictions. For information about research methods, please reference the Electronic Health Information Legal Epidemiology Protocol 2014.",,"{'name': 'Electronic Health Information Legal Epidemiology Data Set 2014', 'id': 'wngq-sdai', 'description': 'Authors: Cason Schmit, JD, Gregory Sunshine, JD, Dawn Pepin, JD, MPH, Tara Ramanathan, JD, MPH, Akshara Menon, JD, MPH, Matthew Penn, JD, MLIS\r\nThis legal data set consists of state statutes and regulations in effect as of January 1, 2014, related to electronic health information (EHI). Jurisdictions were limited to US states, territories, and the District of Columbia that had statutes and regulations in the Westlaw legal database that expressly referenced EHI. This data set includes 2,364 EHI-related laws representing 49 EHI uses in 54 jurisdictions. For information about research methods, please reference the Electronic Health Information Legal Epidemiology Protocol 2014.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/dataset/Electronic-Health-Information-Legal-Epidemiology-D/wngq-sdai'}"
Employment-Related Disparities in Cigarette Smoking Among Adults,umnb-y23t,umnb-y23t_1736738804.386428_Employment-Related_Disparities_in_Cigarette_Smoking_Among_Adults_20250113.csv.gz,2025-01-13 03:26:44 UTC,https://data.cdc.gov/Survey-Data/Employment-Related-Disparities-in-Cigarette-Smokin/umnb-y23t,"2011–2023. The tobacco disparities dashboard data utilized the Behavioral Risk Factor Surveillance System (BRFSS) data to measure cigarette smoking disparities by employment. The disparity value is the relative difference in the cigarette smoking prevalence among adults 18 and older in a focus group divided by the cigarette smoking prevalence among adults 18 and older in a reference group. A disparity value above 1 indicates that adults in the focus group smoke cigarettes at a higher rate, as reflected by the disparity value, compared with the rate among adults in the reference group who smoke cigarettes. A disparity value below 1 indicates that adults in the focus group smoke cigarettes at a lower rate, as reflected by the disparity value, compared with the rate among adults in the reference group who smoke cigarettes. A disparity value of 1 means there is no relative difference in the rate of adults who smoke cigarettes for the two groups compared.",,"{'name': 'Employment-Related Disparities in Cigarette Smoking Among Adults', 'id': 'umnb-y23t', 'description': '2011–2023. The tobacco disparities dashboard data utilized the Behavioral Risk Factor Surveillance System (BRFSS) data to measure cigarette smoking disparities by employment. The disparity value is the relative difference in the cigarette smoking prevalence among adults 18 and older in a focus group divided by the cigarette smoking prevalence among adults 18 and older in a reference group. A disparity value above 1 indicates that adults in the focus group smoke cigarettes at a higher rate, as reflected by the disparity value, compared with the rate among adults in the reference group who smoke cigarettes. A disparity value below 1 indicates that adults in the focus group smoke cigarettes at a lower rate, as reflected by the disparity value, compared with the rate among adults in the reference group who smoke cigarettes. A disparity value of 1 means there is no relative difference in the rate of adults who smoke cigarettes for the two groups compared.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Survey-Data/Employment-Related-Disparities-in-Cigarette-Smokin/umnb-y23t'}"
Environmental Antecedents of Foodborne Illness Outbreaks,4khb-4xch,4khb-4xch_1736738024.123990_Environmental_Antecedents_of_Foodborne_Illness_Outbreaks_20250113.csv.gz,2025-01-13 03:13:44 UTC,https://data.cdc.gov/National-Center-for-Environmental-Health/Environmental-Antecedents-of-Foodborne-Illness-Out/4khb-4xch,"Foodborne outbreak investigations often provide data for public health officials to determine how the environment contributed to the outbreak and on how to prevent future outbreaks. State and local health departments are responsible for investigating foodborne illness outbreaks in their jurisdictions and reporting the data to national-level surveillance systems, including information from the environmental assessment. This assessment is designed to describe how the environment contributed to the outbreak and identifies factors that contributed to the outbreak and environmental antecedents to the outbreak. Environmental antecedents, also referred to as root causes, are specific reasons that allow biological or chemical agents to contaminate, survive, or grow in food. From 2017 – 2019, 24 jurisdictions reported 1,430 antecedents from 393 outbreaks to the National Environmental Assessments Reporting System. The most reported antecedents were lack of oversight of employees/enforcement of policies (89.1%), lack of training of employees on specific processes (74.0%), and lack of a food safety culture/attitude towards food safety (57.5%). These findings highlight the critical role that employees play in restaurant food safety and are heavily influenced by restaurant management, who can exercise active managerial control to manage these antecedents. Identifying antecedents during investigations is essential for understanding the outbreak’s root cause and implementing sustainable corrective actions to stop the immediate outbreak and future outbreaks.",,"{'name': 'Environmental Antecedents of Foodborne Illness Outbreaks', 'id': '4khb-4xch', 'description': 'Foodborne outbreak investigations often provide data for public health officials to determine how the environment contributed to the outbreak and on how to prevent future outbreaks. State and local health departments are responsible for investigating foodborne illness outbreaks in their jurisdictions and reporting the data to national-level surveillance systems, including information from the environmental assessment. This assessment is designed to describe how the environment contributed to the outbreak and identifies factors that contributed to the outbreak and environmental antecedents to the outbreak. Environmental antecedents, also referred to as root causes, are specific reasons that allow biological or chemical agents to contaminate, survive, or grow in food. From 2017 – 2019, 24 jurisdictions reported 1,430 antecedents from 393 outbreaks to the National Environmental Assessments Reporting System. The most reported antecedents were lack of oversight of employees/enforcement of policies (89.1%), lack of training of employees on specific processes (74.0%), and lack of a food safety culture/attitude towards food safety (57.5%). These findings highlight the critical role that employees play in restaurant food safety and are heavily influenced by restaurant management, who can exercise active managerial control to manage these antecedents. Identifying antecedents during investigations is essential for understanding the outbreak’s root cause and implementing sustainable corrective actions to stop the immediate outbreak and future outbreaks.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/National-Center-for-Environmental-Health/Environmental-Antecedents-of-Foodborne-Illness-Out/4khb-4xch'}"
Estimates of Emergency Department Visits in the United States from 2016-2022,ycxr-emue,ycxr-emue_1736714567.251824_Estimates_of_Emergency_Department_Visits_in_the_United_States_from_2016-2022_20250112.csv.gz,2025-01-12 20:42:47 UTC,https://data.cdc.gov/NCHS/Estimates-of-Emergency-Department-Visits-in-the-Un/ycxr-emue,"The National Hospital Ambulatory Medical Care Survey (NHAMCS), conducted by the National Center for Health Statistics (NCHS), collects annual data on visits to emergency departments to describe patterns of utilization and provision of ambulatory care delivery in the United States. Data are collected from nonfederal, general, and short-stay hospitals from all 50 U.S. states and the District of Columbia, and are used to develop nationally representative estimates. 

The data include counts and rates of emergency department visits from 2016-2022 for the 10 leading primary diagnoses and reasons for visit, stratified by selected patient and hospital characteristics. Rankings for the 10 leading categories were identified using weighted data from 2022 and were then assessed in prior years.",,"{'name': 'Estimates of Emergency Department Visits in the United States from 2016-2022', 'id': 'ycxr-emue', 'description': 'The National Hospital Ambulatory Medical Care Survey (NHAMCS), conducted by the National Center for Health Statistics (NCHS), collects annual data on visits to emergency departments to describe patterns of utilization and provision of ambulatory care delivery in the United States. Data are collected from nonfederal, general, and short-stay hospitals from all 50 U.S. states and the District of Columbia, and are used to develop nationally representative estimates. \n\nThe data include counts and rates of emergency department visits from 2016-2022 for the 10 leading primary diagnoses and reasons for visit, stratified by selected patient and hospital characteristics. Rankings for the 10 leading categories were identified using weighted data from 2022 and were then assessed in prior years.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Estimates-of-Emergency-Department-Visits-in-the-Un/ycxr-emue'}"
Examination of SARS-CoV-2 serological test results from multiple commercial and laboratory platforms with an in-house serum panel,hhvg-83jq,hhvg-83jq_1736737536.863453_Examination_of_SARS-CoV-2_serological_test_results_from_multiple_commercial_and_laboratory_platforms_with_an_in-house_serum_panel_20250113.csv.gz,2025-01-13 03:05:36 UTC,https://data.cdc.gov/Coronavirus-and-Other-Respiratory-Viruses/Examination-of-SARS-CoV-2-serological-test-results/hhvg-83jq,"Severe acute respiratory syndrome (SARS) coronavirus 2 (SARS-CoV-2) is a novel human coronavirus that was identified in 2019. SARS-CoV-2 infection results in an acute, severe respiratory disease called coronavirus disease 2019 (COVID-19).  The emergence and rapid spread of SARS-CoV-2 has led to a global public health crisis, which continues to affect populations across the globe. Real time reverse transcription polymerase chain reaction (rRT-PCR) is the reference standard test for COVID-19 diagnosis. Serological tests are valuable tools for serosurveillance programs and establishing correlates of protection from disease. This study evaluated the performance of one in-house enzyme linked immunosorbent assay (ELISA) utilizing the pre-fusion stabilized ectodomain of SARS-CoV-2 spike (S), two commercially available chemiluminescence assays Ortho VITROS Immunodiagnostic Products Anti-SARS-CoV-2 Total Reagent Pack and Abbott SARS-CoV-2 IgG assay and one commercially available Surrogate Virus Neutralization Test (sVNT), GenScript USA Inc., cPass SARS-CoV-2 Neutralization Antibody Detection Kit for the detection of SARS-CoV-2 specific antibodies.  Using a panel of rRT-PCR confirmed COVID-19 patients’ sera and a negative control group as a reference standard, all three immunoassays demonstrated high comparable positivity rates and low discordant rates.  All three immunoassays were highly sensitive with estimated sensitivities ranging from 95.4%-96.6%. ROC curve analysis indicated that all three immunoassays had high diagnostic accuracies with area under the curve (AUC) values ranging from 0.9698-0.9807. High positive correlation was demonstrated among the conventional microneutralization test (MNT) titers and the sVNT inhibition percent values.  Our study indicates that independent evaluations are necessary to optimize the overall utility and the interpretation of the results of serological tests.  Overall, we demonstrate that all serological tests evaluated in this study are suitable for the detection of SARS-CoV-2 antibodies.",,"{'name': 'Examination of SARS-CoV-2 serological test results from multiple commercial and laboratory platforms with an in-house serum panel', 'id': 'hhvg-83jq', 'description': 'Severe acute respiratory syndrome (SARS) coronavirus 2 (SARS-CoV-2) is a novel human coronavirus that was identified in 2019. SARS-CoV-2 infection results in an acute, severe respiratory disease called coronavirus disease 2019 (COVID-19).  The emergence and rapid spread of SARS-CoV-2 has led to a global public health crisis, which continues to affect populations across the globe. Real time reverse transcription polymerase chain reaction (rRT-PCR) is the reference standard test for COVID-19 diagnosis. Serological tests are valuable tools for serosurveillance programs and establishing correlates of protection from disease. This study evaluated the performance of one in-house enzyme linked immunosorbent assay (ELISA) utilizing the pre-fusion stabilized ectodomain of SARS-CoV-2 spike (S), two commercially available chemiluminescence assays Ortho VITROS Immunodiagnostic Products Anti-SARS-CoV-2 Total Reagent Pack and Abbott SARS-CoV-2 IgG assay and one commercially available Surrogate Virus Neutralization Test (sVNT), GenScript USA Inc., cPass SARS-CoV-2 Neutralization Antibody Detection Kit for the detection of SARS-CoV-2 specific antibodies.  Using a panel of rRT-PCR confirmed COVID-19 patients’ sera and a negative control group as a reference standard, all three immunoassays demonstrated high comparable positivity rates and low discordant rates.  All three immunoassays were highly sensitive with estimated sensitivities ranging from 95.4%-96.6%. ROC curve analysis indicated that all three immunoassays had high diagnostic accuracies with area under the curve (AUC) values ranging from 0.9698-0.9807. High positive correlation was demonstrated among the conventional microneutralization test (MNT) titers and the sVNT inhibition percent values.  Our study indicates that independent evaluations are necessary to optimize the overall utility and the interpretation of the results of serological tests.  Overall, we demonstrate that all serological tests evaluated in this study are suitable for the detection of SARS-CoV-2 antibodies.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Coronavirus-and-Other-Respiratory-Viruses/Examination-of-SARS-CoV-2-serological-test-results/hhvg-83jq'}"
Excess Deaths Associated with COVID-19,xkkf-xrst,xkkf-xrst_1736707824.323168_Excess_Deaths_Associated_with_COVID-19_20250112.csv.gz,2025-01-12 18:50:24 UTC,https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst,"Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.

Estimates of excess deaths can provide information about the burden of mortality potentially related to COVID-19, beyond the number of deaths that are directly attributed to COVID-19. Excess deaths are typically defined as the difference between observed numbers of deaths and expected numbers. This visualization provides weekly data on excess deaths by jurisdiction of occurrence. Counts of deaths in more recent weeks are compared with historical trends to determine whether the number of deaths is significantly higher than expected.

Estimates of excess deaths can be calculated in a variety of ways, and will vary depending on the methodology and assumptions about how many deaths are expected to occur. Estimates of excess deaths presented in this webpage were calculated using Farrington surveillance algorithms (1). For each jurisdiction, a model is used to generate a set of expected counts, and the upper bound of the 95% Confidence Intervals (95% CI) of these expected counts is used as a threshold to estimate excess deaths. Observed counts are compared to these upper bound estimates to determine whether a significant increase in deaths has occurred. Provisional counts are weighted to account for potential underreporting in the most recent weeks. However, data for the most recent week(s) are still likely to be incomplete. Only about 60% of deaths are reported within 10 days of the date of death, and there is considerable variation by jurisdiction. More detail about the methods, weighting, data, and limitations can be found in the Technical Notes.","<https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""original"",
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<http://web.archive.org/web/20200501175756/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Fri, 01 May 2020 17:57:56 GMT"",
<http://web.archive.org/web/20200501175756/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Fri, 01 May 2020 17:57:56 GMT"",
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<http://web.archive.org/web/20200501175809/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Fri, 01 May 2020 17:58:09 GMT"",
<http://web.archive.org/web/20200501195008/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Fri, 01 May 2020 19:50:08 GMT"",
<http://web.archive.org/web/20200501195010/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Fri, 01 May 2020 19:50:10 GMT"",
<http://web.archive.org/web/20200501195027/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Fri, 01 May 2020 19:50:27 GMT"",
<http://web.archive.org/web/20200501195033/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Fri, 01 May 2020 19:50:33 GMT"",
<http://web.archive.org/web/20200501195049/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Fri, 01 May 2020 19:50:49 GMT"",
<http://web.archive.org/web/20200501195052/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Fri, 01 May 2020 19:50:52 GMT"",
<http://web.archive.org/web/20200501195054/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Fri, 01 May 2020 19:50:54 GMT"",
<http://web.archive.org/web/20200509000646/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Sat, 09 May 2020 00:06:46 GMT"",
<http://web.archive.org/web/20200510005614/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Sun, 10 May 2020 00:56:14 GMT"",
<http://web.archive.org/web/20200514095839/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Thu, 14 May 2020 09:58:39 GMT"",
<http://web.archive.org/web/20200516012154/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Sat, 16 May 2020 01:21:54 GMT"",
<http://web.archive.org/web/20200516031546/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Sat, 16 May 2020 03:15:46 GMT"",
<http://web.archive.org/web/20200518090024/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Mon, 18 May 2020 09:00:24 GMT"",
<http://web.archive.org/web/20200518110915/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Mon, 18 May 2020 11:09:15 GMT"",
<http://web.archive.org/web/20200518111027/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Mon, 18 May 2020 11:10:27 GMT"",
<http://web.archive.org/web/20200521070017/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Thu, 21 May 2020 07:00:17 GMT"",
<http://web.archive.org/web/20200522212145/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Fri, 22 May 2020 21:21:45 GMT"",
<http://web.archive.org/web/20200522230734/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Fri, 22 May 2020 23:07:34 GMT"",
<http://web.archive.org/web/20200523082743/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Sat, 23 May 2020 08:27:43 GMT"",
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<http://web.archive.org/web/20200526164818/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Tue, 26 May 2020 16:48:18 GMT"",
<http://web.archive.org/web/20200526211554/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Tue, 26 May 2020 21:15:54 GMT"",
<http://web.archive.org/web/20200528105948/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Thu, 28 May 2020 10:59:48 GMT"",
<http://web.archive.org/web/20200528110104/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Thu, 28 May 2020 11:01:04 GMT"",
<http://web.archive.org/web/20200529203623/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Fri, 29 May 2020 20:36:23 GMT"",
<http://web.archive.org/web/20200531012352/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Sun, 31 May 2020 01:23:52 GMT"",
<http://web.archive.org/web/20200531012355/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Sun, 31 May 2020 01:23:55 GMT"",
<http://web.archive.org/web/20200531012359/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Sun, 31 May 2020 01:23:59 GMT"",
<http://web.archive.org/web/20200602083524/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Tue, 02 Jun 2020 08:35:24 GMT"",
<http://web.archive.org/web/20200603041308/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Wed, 03 Jun 2020 04:13:08 GMT"",
<http://web.archive.org/web/20200604183119/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Thu, 04 Jun 2020 18:31:19 GMT"",
<http://web.archive.org/web/20200604233539/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Thu, 04 Jun 2020 23:35:39 GMT"",
<http://web.archive.org/web/20200605001054/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Fri, 05 Jun 2020 00:10:54 GMT"",
<http://web.archive.org/web/20200612011156/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Fri, 12 Jun 2020 01:11:56 GMT"",
<http://web.archive.org/web/20200614101212/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Sun, 14 Jun 2020 10:12:12 GMT"",
<http://web.archive.org/web/20200616145202/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Tue, 16 Jun 2020 14:52:02 GMT"",
<http://web.archive.org/web/20200616223240/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Tue, 16 Jun 2020 22:32:40 GMT"",
<http://web.archive.org/web/20200625230251/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Thu, 25 Jun 2020 23:02:51 GMT"",
<http://web.archive.org/web/20200708194021/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Wed, 08 Jul 2020 19:40:21 GMT"",
<http://web.archive.org/web/20200713195828/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Mon, 13 Jul 2020 19:58:28 GMT"",
<http://web.archive.org/web/20200713195832/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Mon, 13 Jul 2020 19:58:32 GMT"",
<http://web.archive.org/web/20200714161832/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Tue, 14 Jul 2020 16:18:32 GMT"",
<http://web.archive.org/web/20200714161840/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Tue, 14 Jul 2020 16:18:40 GMT"",
<http://web.archive.org/web/20200714161845/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Tue, 14 Jul 2020 16:18:45 GMT"",
<http://web.archive.org/web/20200714161856/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Tue, 14 Jul 2020 16:18:56 GMT"",
<http://web.archive.org/web/20200715143957/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Wed, 15 Jul 2020 14:39:57 GMT"",
<http://web.archive.org/web/20200715144001/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Wed, 15 Jul 2020 14:40:01 GMT"",
<http://web.archive.org/web/20200721213527/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Tue, 21 Jul 2020 21:35:27 GMT"",
<http://web.archive.org/web/20200721213530/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Tue, 21 Jul 2020 21:35:30 GMT"",
<http://web.archive.org/web/20200721213534/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Tue, 21 Jul 2020 21:35:34 GMT"",
<http://web.archive.org/web/20200721213537/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Tue, 21 Jul 2020 21:35:37 GMT"",
<http://web.archive.org/web/20200721213541/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Tue, 21 Jul 2020 21:35:41 GMT"",
<http://web.archive.org/web/20200811191834/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Tue, 11 Aug 2020 19:18:34 GMT"",
<http://web.archive.org/web/20200823141444/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Sun, 23 Aug 2020 14:14:44 GMT"",
<http://web.archive.org/web/20200824103046/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Mon, 24 Aug 2020 10:30:46 GMT"",
<http://web.archive.org/web/20200824215731/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Mon, 24 Aug 2020 21:57:31 GMT"",
<http://web.archive.org/web/20200924115309/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Thu, 24 Sep 2020 11:53:09 GMT"",
<http://web.archive.org/web/20201002112416/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Fri, 02 Oct 2020 11:24:16 GMT"",
<http://web.archive.org/web/20201029225736/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Thu, 29 Oct 2020 22:57:36 GMT"",
<http://web.archive.org/web/20201030232032/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Fri, 30 Oct 2020 23:20:32 GMT"",
<http://web.archive.org/web/20201101033437/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Sun, 01 Nov 2020 03:34:37 GMT"",
<http://web.archive.org/web/20201112003002/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Thu, 12 Nov 2020 00:30:02 GMT"",
<http://web.archive.org/web/20201122011113/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Sun, 22 Nov 2020 01:11:13 GMT"",
<http://web.archive.org/web/20201210111327/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Thu, 10 Dec 2020 11:13:27 GMT"",
<http://web.archive.org/web/20201219073633/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Sat, 19 Dec 2020 07:36:33 GMT"",
<http://web.archive.org/web/20210120045247/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Wed, 20 Jan 2021 04:52:47 GMT"",
<http://web.archive.org/web/20210222073335/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Mon, 22 Feb 2021 07:33:35 GMT"",
<http://web.archive.org/web/20210305015604/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Fri, 05 Mar 2021 01:56:04 GMT"",
<http://web.archive.org/web/20210318023810/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Thu, 18 Mar 2021 02:38:10 GMT"",
<http://web.archive.org/web/20210319192534/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Fri, 19 Mar 2021 19:25:34 GMT"",
<http://web.archive.org/web/20210325162015/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Thu, 25 Mar 2021 16:20:15 GMT"",
<http://web.archive.org/web/20210413203538/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Tue, 13 Apr 2021 20:35:38 GMT"",
<http://web.archive.org/web/20210508081356/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Sat, 08 May 2021 08:13:56 GMT"",
<http://web.archive.org/web/20210508081357/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Sat, 08 May 2021 08:13:57 GMT"",
<http://web.archive.org/web/20210531013623/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Mon, 31 May 2021 01:36:23 GMT"",
<http://web.archive.org/web/20210610105436/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Thu, 10 Jun 2021 10:54:36 GMT"",
<http://web.archive.org/web/20210620135453/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Sun, 20 Jun 2021 13:54:53 GMT"",
<http://web.archive.org/web/20210620135453/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Sun, 20 Jun 2021 13:54:53 GMT"",
<http://web.archive.org/web/20210621193256/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Mon, 21 Jun 2021 19:32:56 GMT"",
<http://web.archive.org/web/20210621193256/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Mon, 21 Jun 2021 19:32:56 GMT"",
<http://web.archive.org/web/20210720105116/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Tue, 20 Jul 2021 10:51:16 GMT"",
<http://web.archive.org/web/20210720105119/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Tue, 20 Jul 2021 10:51:19 GMT"",
<http://web.archive.org/web/20210819053722/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-Covid-19/xkkf-xrst/>; rel=""memento""; datetime=""Thu, 19 Aug 2021 05:37:22 GMT"",
<http://web.archive.org/web/20210819053723/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Thu, 19 Aug 2021 05:37:23 GMT"",
<http://web.archive.org/web/20210901214628/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Wed, 01 Sep 2021 21:46:28 GMT"",
<http://web.archive.org/web/20210903160830/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Fri, 03 Sep 2021 16:08:30 GMT"",
<http://web.archive.org/web/20210903160830/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-Covid-19/xkkf-xrst/>; rel=""memento""; datetime=""Fri, 03 Sep 2021 16:08:30 GMT"",
<http://web.archive.org/web/20210922152511/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Wed, 22 Sep 2021 15:25:11 GMT"",
<http://web.archive.org/web/20211110012951/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Wed, 10 Nov 2021 01:29:51 GMT"",
<http://web.archive.org/web/20211110084021/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Wed, 10 Nov 2021 08:40:21 GMT"",
<http://web.archive.org/web/20211130093108/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Tue, 30 Nov 2021 09:31:08 GMT"",
<http://web.archive.org/web/20220116003746/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Sun, 16 Jan 2022 00:37:46 GMT"",
<http://web.archive.org/web/20220124013110/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Mon, 24 Jan 2022 01:31:10 GMT"",
<http://web.archive.org/web/20220124111708/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Mon, 24 Jan 2022 11:17:08 GMT"",
<http://web.archive.org/web/20220130221655/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Sun, 30 Jan 2022 22:16:55 GMT"",
<http://web.archive.org/web/20220215214231/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Tue, 15 Feb 2022 21:42:31 GMT"",
<http://web.archive.org/web/20220312160002/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Sat, 12 Mar 2022 16:00:02 GMT"",
<http://web.archive.org/web/20220313150012/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Sun, 13 Mar 2022 15:00:12 GMT"",
<http://web.archive.org/web/20220317033833/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Thu, 17 Mar 2022 03:38:33 GMT"",
<http://web.archive.org/web/20220324132120/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Thu, 24 Mar 2022 13:21:20 GMT"",
<http://web.archive.org/web/20220324132336/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Thu, 24 Mar 2022 13:23:36 GMT"",
<http://web.archive.org/web/20220326172237/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Sat, 26 Mar 2022 17:22:37 GMT"",
<http://web.archive.org/web/20220427110913/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Wed, 27 Apr 2022 11:09:13 GMT"",
<http://web.archive.org/web/20220427110930/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Wed, 27 Apr 2022 11:09:30 GMT"",
<http://web.archive.org/web/20220527152121/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Fri, 27 May 2022 15:21:21 GMT"",
<http://web.archive.org/web/20220705224944/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Tue, 05 Jul 2022 22:49:44 GMT"",
<http://web.archive.org/web/20220708070646/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Fri, 08 Jul 2022 07:06:46 GMT"",
<http://web.archive.org/web/20220819005954/http://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Fri, 19 Aug 2022 00:59:54 GMT"",
<http://web.archive.org/web/20220921074358/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Wed, 21 Sep 2022 07:43:58 GMT"",
<http://web.archive.org/web/20220921075635/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Wed, 21 Sep 2022 07:56:35 GMT"",
<http://web.archive.org/web/20220921080358/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Wed, 21 Sep 2022 08:03:58 GMT"",
<http://web.archive.org/web/20220927012010/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Tue, 27 Sep 2022 01:20:10 GMT"",
<http://web.archive.org/web/20221003121455/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Mon, 03 Oct 2022 12:14:55 GMT"",
<http://web.archive.org/web/20221020232625/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Thu, 20 Oct 2022 23:26:25 GMT"",
<http://web.archive.org/web/20221104080540/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Fri, 04 Nov 2022 08:05:40 GMT"",
<http://web.archive.org/web/20221130045906/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Wed, 30 Nov 2022 04:59:06 GMT"",
<http://web.archive.org/web/20221201034007/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Thu, 01 Dec 2022 03:40:07 GMT"",
<http://web.archive.org/web/20221220095357/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Tue, 20 Dec 2022 09:53:57 GMT"",
<http://web.archive.org/web/20221220095408/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Tue, 20 Dec 2022 09:54:08 GMT"",
<http://web.archive.org/web/20221230174910/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Fri, 30 Dec 2022 17:49:10 GMT"",
<http://web.archive.org/web/20230131164154/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Tue, 31 Jan 2023 16:41:54 GMT"",
<http://web.archive.org/web/20230131212640/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Tue, 31 Jan 2023 21:26:40 GMT"",
<http://web.archive.org/web/20230131212648/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Tue, 31 Jan 2023 21:26:48 GMT"",
<http://web.archive.org/web/20230131212653/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Tue, 31 Jan 2023 21:26:53 GMT"",
<http://web.archive.org/web/20230313222901/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Mon, 13 Mar 2023 22:29:01 GMT"",
<http://web.archive.org/web/20230314180354/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Tue, 14 Mar 2023 18:03:54 GMT"",
<http://web.archive.org/web/20230325150242/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Sat, 25 Mar 2023 15:02:42 GMT"",
<http://web.archive.org/web/20230326084401/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Sun, 26 Mar 2023 08:44:01 GMT"",
<http://web.archive.org/web/20230326172722/http://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Sun, 26 Mar 2023 17:27:22 GMT"",
<http://web.archive.org/web/20230328213712/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Tue, 28 Mar 2023 21:37:12 GMT"",
<http://web.archive.org/web/20230520115911/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Sat, 20 May 2023 11:59:11 GMT"",
<http://web.archive.org/web/20230604003448/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Sun, 04 Jun 2023 00:34:48 GMT"",
<http://web.archive.org/web/20230707022917/http://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Fri, 07 Jul 2023 02:29:17 GMT"",
<http://web.archive.org/web/20230707022917/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Fri, 07 Jul 2023 02:29:17 GMT"",
<http://web.archive.org/web/20230715054906/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Sat, 15 Jul 2023 05:49:06 GMT"",
<http://web.archive.org/web/20230924213920/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Sun, 24 Sep 2023 21:39:20 GMT"",
<http://web.archive.org/web/20231003075404/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Tue, 03 Oct 2023 07:54:04 GMT"",
<http://web.archive.org/web/20231004132228/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Wed, 04 Oct 2023 13:22:28 GMT"",
<http://web.archive.org/web/20231122170741/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Wed, 22 Nov 2023 17:07:41 GMT"",
<http://web.archive.org/web/20231221164654/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Thu, 21 Dec 2023 16:46:54 GMT"",
<http://web.archive.org/web/20240221220037/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Wed, 21 Feb 2024 22:00:37 GMT"",
<http://web.archive.org/web/20240418182305/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Thu, 18 Apr 2024 18:23:05 GMT"",
<http://web.archive.org/web/20240521042815/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Tue, 21 May 2024 04:28:15 GMT"",
<http://web.archive.org/web/20240807195323/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Wed, 07 Aug 2024 19:53:23 GMT"",
<http://web.archive.org/web/20240907082816/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Sat, 07 Sep 2024 08:28:16 GMT"",
<http://web.archive.org/web/20240907101051/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Sat, 07 Sep 2024 10:10:51 GMT"",
<http://web.archive.org/web/20240913095915/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Fri, 13 Sep 2024 09:59:15 GMT"",
<http://web.archive.org/web/20240913095948/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Fri, 13 Sep 2024 09:59:48 GMT"",
<http://web.archive.org/web/20241001122619/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Tue, 01 Oct 2024 12:26:19 GMT"",
<http://web.archive.org/web/20241005195831/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Sat, 05 Oct 2024 19:58:31 GMT"",
<http://web.archive.org/web/20241112022823/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Tue, 12 Nov 2024 02:28:23 GMT"",
<http://web.archive.org/web/20241125212718/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Mon, 25 Nov 2024 21:27:18 GMT"",
<http://web.archive.org/web/20241127182057/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Wed, 27 Nov 2024 18:20:57 GMT"",
<http://web.archive.org/web/20241204194307/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Wed, 04 Dec 2024 19:43:07 GMT"",
<http://web.archive.org/web/20241210010312/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Tue, 10 Dec 2024 01:03:12 GMT"",
<http://web.archive.org/web/20241227160151/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Fri, 27 Dec 2024 16:01:51 GMT"",
<http://web.archive.org/web/20250201024130/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Sat, 01 Feb 2025 02:41:30 GMT"",
<http://web.archive.org/web/20250201215500/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Sat, 01 Feb 2025 21:55:00 GMT"",
<http://web.archive.org/web/20250202015934/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Sun, 02 Feb 2025 01:59:34 GMT"",
<http://web.archive.org/web/20250204175858/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Tue, 04 Feb 2025 17:58:58 GMT"",
<http://web.archive.org/web/20250206175328/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Thu, 06 Feb 2025 17:53:28 GMT"",
<http://web.archive.org/web/20250208222448/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Sat, 08 Feb 2025 22:24:48 GMT"",
<http://web.archive.org/web/20250211180117/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Tue, 11 Feb 2025 18:01:17 GMT"",
<http://web.archive.org/web/20250211180123/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst>; rel=""memento""; datetime=""Tue, 11 Feb 2025 18:01:23 GMT"",
<http://web.archive.org/web/20250211180126/https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst/>; rel=""memento""; datetime=""Tue, 11 Feb 2025 18:01:26 GMT""
","{'name': 'Excess Deaths Associated with COVID-19', 'id': 'xkkf-xrst', 'description': 'Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.\n\nEstimates of excess deaths can provide information about the burden of mortality potentially related to COVID-19, beyond the number of deaths that are directly attributed to COVID-19. Excess deaths are typically defined as the difference between observed numbers of deaths and expected numbers. This visualization provides weekly data on excess deaths by jurisdiction of occurrence. Counts of deaths in more recent weeks are compared with historical trends to determine whether the number of deaths is significantly higher than expected.\n\nEstimates of excess deaths can be calculated in a variety of ways, and will vary depending on the methodology and assumptions about how many deaths are expected to occur. Estimates of excess deaths presented in this webpage were calculated using Farrington surveillance algorithms (1). For each jurisdiction, a model is used to generate a set of expected counts, and the upper bound of the 95% Confidence Intervals (95% CI) of these expected counts is used as a threshold to estimate excess deaths. Observed counts are compared to these upper bound estimates to determine whether a significant increase in deaths has occurred. Provisional counts are weighted to account for potential underreporting in the most recent weeks. However, data for the most recent week(s) are still likely to be incomplete. Only about 60% of deaths are reported within 10 days of the date of death, and there is considerable variation by jurisdiction. More detail about the methods, weighting, data, and limitations can be found in the Technical Notes.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Excess-Deaths-Associated-with-COVID-19/xkkf-xrst'}"
Global Tobacco Surveillance System (GTSS) - Global Adult Tobacco Survey (GATS),4xf6-nrwk,4xf6-nrwk_1736714185.800114_Global_Tobacco_Surveillance_System__GTSS__-_Global_Adult_Tobacco_Survey__GATS__20250112.csv.gz,2025-01-12 20:36:25 UTC,https://data.cdc.gov/Global-Survey-Data/Global-Tobacco-Surveillance-System-GTSS-Global-Adu/4xf6-nrwk,"2008-2017. Centers for Disease Control and Prevention (CDC).   Office on Smoking and Health (OSH) – Global Tobacco Surveillance System (GTSS) - Global Adult Tobacco Survey (GATS).    The Global Adult Tobacco Survey (GATS) is the global standard to systematically monitor adult tobacco use and track key tobacco control indicators. GATS is a nationally representative household survey of adults 15 years of age or older, using a standard protocol. It is intended to generate comparable data within and across countries. GATS enhances countries' capacity to design, implement and evaluate tobacco control interventions.",,"{'name': 'Global Tobacco Surveillance System (GTSS) - Global Adult Tobacco Survey (GATS)', 'id': '4xf6-nrwk', 'description': ""2008-2017. Centers for Disease Control and Prevention (CDC).   Office on Smoking and Health (OSH) – Global Tobacco Surveillance System (GTSS) - Global Adult Tobacco Survey (GATS).    The Global Adult Tobacco Survey (GATS) is the global standard to systematically monitor adult tobacco use and track key tobacco control indicators. GATS is a nationally representative household survey of adults 15 years of age or older, using a standard protocol. It is intended to generate comparable data within and across countries. GATS enhances countries' capacity to design, implement and evaluate tobacco control interventions."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Global-Survey-Data/Global-Tobacco-Surveillance-System-GTSS-Global-Adu/4xf6-nrwk'}"
Global Tobacco Surveillance System (GTSS) - Global Health Professions Student Survey (GHPSS),x6ag-8y7r,x6ag-8y7r_1736720854.013429_Global_Tobacco_Surveillance_System__GTSS__-_Global_Health_Professions_Student_Survey__GHPSS__20250112.csv.gz,2025-01-12 22:27:34 UTC,https://data.cdc.gov/Global-Survey-Data/Global-Tobacco-Surveillance-System-GTSS-Global-Hea/x6ag-8y7r,"2005-2011. The World Health Organization, CDC, and the Canadian Public Health Association, developed the GHPSS to collect data on tobacco use and cessation counseling among health professional students in all WHO member states. GHPSS is a standardized school-based survey of third-year students pursuing advanced degrees in dentistry, medicine, nursing, or pharmacy. It is conducted in schools during regular class sessions. GHPSS follows an anonymous, self-administered format for data collection. GHPSS uses a core questionnaire on demographics, prevalence of cigarette smoking and other tobacco use, knowledge and attitudes about tobacco use, exposure to secondhand smoke, desire for smoking cessation, and training received regarding patient counseling on smoking cessation techniques. Questionnaires are translated into local languages as needed. GHPSS has a standardized methodology for selecting participating schools and classes and uniform data processing procedures.","<https://data.cdc.gov/Global-Survey-Data/Global-Tobacco-Surveillance-System-GTSS-Global-Hea/x6ag-8y7r>; rel=""original"",
<http://web.archive.org/web/timemap/link/https://data.cdc.gov/Global-Survey-Data/Global-Tobacco-Surveillance-System-GTSS-Global-Hea/x6ag-8y7r>; rel=""self""; type=""application/link-format""; from=""Thu, 10 Aug 2023 10:03:40 GMT"",
<http://web.archive.org/web/https://data.cdc.gov/Global-Survey-Data/Global-Tobacco-Surveillance-System-GTSS-Global-Hea/x6ag-8y7r>; rel=""timegate"",
<http://web.archive.org/web/20230810100340/https://data.cdc.gov/Global-Survey-Data/Global-Tobacco-Surveillance-System-GTSS-Global-Hea/x6ag-8y7r>; rel=""first memento""; datetime=""Thu, 10 Aug 2023 10:03:40 GMT"",
<http://web.archive.org/web/20230810222451/https://data.cdc.gov/Global-Survey-Data/Global-Tobacco-Surveillance-System-GTSS-Global-Hea/x6ag-8y7r>; rel=""memento""; datetime=""Thu, 10 Aug 2023 22:24:51 GMT"",
<http://web.archive.org/web/20241003103750/https://data.cdc.gov/Global-Survey-Data/Global-Tobacco-Surveillance-System-GTSS-Global-Hea/x6ag-8y7r>; rel=""memento""; datetime=""Thu, 03 Oct 2024 10:37:50 GMT"",
<http://web.archive.org/web/20241127015751/https://data.cdc.gov/Global-Survey-Data/Global-Tobacco-Surveillance-System-GTSS-Global-Hea/x6ag-8y7r>; rel=""memento""; datetime=""Wed, 27 Nov 2024 01:57:51 GMT"",
<http://web.archive.org/web/20241128041748/https://data.cdc.gov/Global-Survey-Data/Global-Tobacco-Surveillance-System-GTSS-Global-Hea/x6ag-8y7r>; rel=""memento""; datetime=""Thu, 28 Nov 2024 04:17:48 GMT"",
<http://web.archive.org/web/20241128132744/https://data.cdc.gov/Global-Survey-Data/Global-Tobacco-Surveillance-System-GTSS-Global-Hea/x6ag-8y7r>; rel=""memento""; datetime=""Thu, 28 Nov 2024 13:27:44 GMT"",
<http://web.archive.org/web/20241210154812/https://data.cdc.gov/Global-Survey-Data/Global-Tobacco-Surveillance-System-GTSS-Global-Hea/x6ag-8y7r>; rel=""memento""; datetime=""Tue, 10 Dec 2024 15:48:12 GMT"",
<http://web.archive.org/web/20250119044719/https://data.cdc.gov/Global-Survey-Data/Global-Tobacco-Surveillance-System-GTSS-Global-Hea/x6ag-8y7r>; rel=""memento""; datetime=""Sun, 19 Jan 2025 04:47:19 GMT"",
<http://web.archive.org/web/20250201012153/https://data.cdc.gov/Global-Survey-Data/Global-Tobacco-Surveillance-System-GTSS-Global-Hea/x6ag-8y7r>; rel=""memento""; datetime=""Sat, 01 Feb 2025 01:21:53 GMT"",
<http://web.archive.org/web/20250201211526/https://data.cdc.gov/Global-Survey-Data/Global-Tobacco-Surveillance-System-GTSS-Global-Hea/x6ag-8y7r>; rel=""memento""; datetime=""Sat, 01 Feb 2025 21:15:26 GMT"",
<http://web.archive.org/web/20250202081850/https://data.cdc.gov/Global-Survey-Data/Global-Tobacco-Surveillance-System-GTSS-Global-Hea/x6ag-8y7r>; rel=""memento""; datetime=""Sun, 02 Feb 2025 08:18:50 GMT"",
<http://web.archive.org/web/20250203100817/https://data.cdc.gov/Global-Survey-Data/Global-Tobacco-Surveillance-System-GTSS-Global-Hea/x6ag-8y7r>; rel=""memento""; datetime=""Mon, 03 Feb 2025 10:08:17 GMT"",
<http://web.archive.org/web/20250208022913/https://data.cdc.gov/Global-Survey-Data/Global-Tobacco-Surveillance-System-GTSS-Global-Hea/x6ag-8y7r>; rel=""memento""; datetime=""Sat, 08 Feb 2025 02:29:13 GMT"",
<http://web.archive.org/web/20250209204213/https://data.cdc.gov/Global-Survey-Data/Global-Tobacco-Surveillance-System-GTSS-Global-Hea/x6ag-8y7r>; rel=""memento""; datetime=""Sun, 09 Feb 2025 20:42:13 GMT"",
<http://web.archive.org/web/20250209204215/https://data.cdc.gov/Global-Survey-Data/Global-Tobacco-Surveillance-System-GTSS-Global-Hea/x6ag-8y7r/>; rel=""memento""; datetime=""Sun, 09 Feb 2025 20:42:15 GMT"",
<http://web.archive.org/web/20250209204235/https://data.cdc.gov/Global-Survey-Data/Global-Tobacco-Surveillance-System-GTSS-Global-Hea/x6ag-8y7r>; rel=""memento""; datetime=""Sun, 09 Feb 2025 20:42:35 GMT""
","{'name': 'Global Tobacco Surveillance System (GTSS) - Global Health Professions Student Survey (GHPSS)', 'id': 'x6ag-8y7r', 'description': '2005-2011. The World Health Organization, CDC, and the Canadian Public Health Association, developed the GHPSS to collect data on tobacco use and cessation counseling among health professional students in all WHO member states. GHPSS is a standardized school-based survey of third-year students pursuing advanced degrees in dentistry, medicine, nursing, or pharmacy. It is conducted in schools during regular class sessions. GHPSS follows an anonymous, self-administered format for data collection. GHPSS uses a core questionnaire on demographics, prevalence of cigarette smoking and other tobacco use, knowledge and attitudes about tobacco use, exposure to secondhand smoke, desire for smoking cessation, and training received regarding patient counseling on smoking cessation techniques. Questionnaires are translated into local languages as needed. GHPSS has a standardized methodology for selecting participating schools and classes and uniform data processing procedures.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Global-Survey-Data/Global-Tobacco-Surveillance-System-GTSS-Global-Hea/x6ag-8y7r'}"
Global Tobacco Surveillance System (GTSS) - Global School Personnel Survey (GSPS),5hns-mwci,5hns-mwci_1736719140.233997_Global_Tobacco_Surveillance_System__GTSS__-_Global_School_Personnel_Survey__GSPS__20250112.csv.gz,2025-01-12 21:59:00 UTC,https://data.cdc.gov/Global-Survey-Data/Global-Tobacco-Surveillance-System-GTSS-Global-Sch/5hns-mwci,"2001-2011. The GSPS was initiated in 2000 to collect information on tobacco use, knowledge and attitudes of school personnel toward tobacco, existence and effectiveness of tobacco control policies in schools, and training and materials available for implementing tobacco prevention and control interventions.",,"{'name': 'Global Tobacco Surveillance System (GTSS) - Global School Personnel Survey (GSPS)', 'id': '5hns-mwci', 'description': '2001-2011. The GSPS was initiated in 2000 to collect information on tobacco use, knowledge and attitudes of school personnel toward tobacco, existence and effectiveness of tobacco control policies in schools, and training and materials available for implementing tobacco prevention and control interventions.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Global-Survey-Data/Global-Tobacco-Surveillance-System-GTSS-Global-Sch/5hns-mwci'}"
Global Tobacco Surveillance System (GTSS) - Global Youth Tobacco Survey (GYTS),57qw-ifet,57qw-ifet_1736714648.152302_Global_Tobacco_Surveillance_System__GTSS__-_Global_Youth_Tobacco_Survey__GYTS__20250112.csv.gz,2025-01-12 20:44:08 UTC,https://data.cdc.gov/Global-Survey-Data/Global-Tobacco-Surveillance-System-GTSS-Global-You/57qw-ifet,"1999-2018. The GYTS is a school-based survey that collects data on students aged 13–15 years using a standardized methodology for constructing the sample frame, selecting schools and classes, and processing data. The GYTS surveillance system is intended to enhance the capacity of countries to design, implement, and evaluate tobacco control and prevention programs. Funding for the GYTS has been provided by the Canadian Public Health Association, National Cancer Institute, United Nations Children Emergency Fund, and the World Health Organization—Tobacco Free Initiative.",,"{'name': 'Global Tobacco Surveillance System (GTSS) - Global Youth Tobacco Survey (GYTS)', 'id': '57qw-ifet', 'description': '1999-2018. The GYTS is a school-based survey that collects data on students aged 13–15 years using a standardized methodology for constructing the sample frame, selecting schools and classes, and processing data. The GYTS surveillance system is intended to enhance the capacity of countries to design, implement, and evaluate tobacco control and prevention programs. Funding for the GYTS has been provided by the Canadian Public Health Association, National Cancer Institute, United Nations Children Emergency Fund, and the World Health Organization—Tobacco Free Initiative.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Global-Survey-Data/Global-Tobacco-Surveillance-System-GTSS-Global-You/57qw-ifet'}"
HAICViz - CDI,abgz-qs4g,abgz-qs4g_1736730870.381365_HAICViz_-_CDI_20250113.csv.gz,2025-01-13 01:14:30 UTC,https://data.cdc.gov/Public-Health-Surveillance/HAICViz-CDI/abgz-qs4g,"<p>The healthcare-associated infection component of CDC’s <a href=""https://www.cdc.gov/ncezid/dpei/eip/index.html"" target=""_blank"">EIP</a> engages a <a href=""https://www.cdc.gov/ncezid/dpei/eip/eip-sites.html"" target=""_blank"">network</a> of state health departments and their academic medical center partners to help answer critical questions about emerging HAI threats, advanced infection tracking methods, and antibiotic resistance in the United States. Information gathered through this activity will play a key role in shaping future policies and recommendations targeting HAI prevention. </p>",,"{'name': 'HAICViz - CDI', 'id': 'abgz-qs4g', 'description': '<p>The healthcare-associated infection component of CDC’s <a href=""https://www.cdc.gov/ncezid/dpei/eip/index.html"" target=""_blank"">EIP</a> engages a <a href=""https://www.cdc.gov/ncezid/dpei/eip/eip-sites.html"" target=""_blank"">network</a> of state health departments and their academic medical center partners to help answer critical questions about emerging HAI threats, advanced infection tracking methods, and antibiotic resistance in the United States. Information gathered through this activity will play a key role in shaping future policies and recommendations targeting HAI prevention. </p>', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/HAICViz-CDI/abgz-qs4g'}"
HAICViz - Candidemia,34p9-h4us,34p9-h4us_1736731150.273856_HAICViz_-_Candidemia_20250113.csv.gz,2025-01-13 01:19:10 UTC,https://data.cdc.gov/Public-Health-Surveillance/HAICViz-Candidemia/34p9-h4us,"<p>The healthcare-associated infection component of CDC’s <a href=""https://www.cdc.gov/ncezid/dpei/eip/index.html"" target=""_blank"">EIP</a> engages a <a href=""https://www.cdc.gov/ncezid/dpei/eip/eip-sites.html"" target=""_blank"">network</a> of state health departments and their academic medical center partners to help answer critical questions about emerging HAI threats, advanced infection tracking methods, and antibiotic resistance in the United States. Information gathered through this activity will play a key role in shaping future policies and recommendations targeting HAI prevention. </p>",,"{'name': 'HAICViz - Candidemia', 'id': '34p9-h4us', 'description': '<p>The healthcare-associated infection component of CDC’s <a href=""https://www.cdc.gov/ncezid/dpei/eip/index.html"" target=""_blank"">EIP</a> engages a <a href=""https://www.cdc.gov/ncezid/dpei/eip/eip-sites.html"" target=""_blank"">network</a> of state health departments and their academic medical center partners to help answer critical questions about emerging HAI threats, advanced infection tracking methods, and antibiotic resistance in the United States. Information gathered through this activity will play a key role in shaping future policies and recommendations targeting HAI prevention. </p>', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/HAICViz-Candidemia/34p9-h4us'}"
HAICViz - MuGSI,v4tm-h8pe,v4tm-h8pe_1736727640.857753_HAICViz_-_MuGSI_20250113.csv.gz,2025-01-13 00:20:40 UTC,https://data.cdc.gov/Public-Health-Surveillance/HAICViz-MuGSI/v4tm-h8pe,"<p>The healthcare-associated infection component of CDC’s <a href=""https://www.cdc.gov/ncezid/dpei/eip/index.html"" target=""_blank"">EIP</a> engages a <a href=""https://www.cdc.gov/ncezid/dpei/eip/eip-sites.html"" target=""_blank"">network</a> of state health departments and their academic medical center partners to help answer critical questions about emerging HAI threats, advanced infection tracking methods, and antibiotic resistance in the United States. Information gathered through this activity will play a key role in shaping future policies and recommendations targeting HAI prevention. </p>",,"{'name': 'HAICViz - MuGSI', 'id': 'v4tm-h8pe', 'description': '<p>The healthcare-associated infection component of CDC’s <a href=""https://www.cdc.gov/ncezid/dpei/eip/index.html"" target=""_blank"">EIP</a> engages a <a href=""https://www.cdc.gov/ncezid/dpei/eip/eip-sites.html"" target=""_blank"">network</a> of state health departments and their academic medical center partners to help answer critical questions about emerging HAI threats, advanced infection tracking methods, and antibiotic resistance in the United States. Information gathered through this activity will play a key role in shaping future policies and recommendations targeting HAI prevention. </p>', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/HAICViz-MuGSI/v4tm-h8pe'}"
HAICViz - iSA,ssz5-s49e,ssz5-s49e_1736726911.704553_HAICViz_-_iSA_20250113.csv.gz,2025-01-13 00:08:31 UTC,https://data.cdc.gov/Public-Health-Surveillance/HAICViz-iSA/ssz5-s49e,"<p>The healthcare-associated infection component of CDC’s <a href=""https://www.cdc.gov/ncezid/dpei/eip/index.html"" target=""_blank"">EIP</a> engages a <a href=""https://www.cdc.gov/ncezid/dpei/eip/eip-sites.html"" target=""_blank"">network</a> of state health departments and their academic medical center partners to help answer critical questions about emerging HAI threats, advanced infection tracking methods, and antibiotic resistance in the United States. Information gathered through this activity will play a key role in shaping future policies and recommendations targeting HAI prevention. Click <a href=""https://www.cdc.gov/hai/eip/saureus.html"" target=""_blank"">here</a> to learn more about Invasive Staphylococcus aureus infections</p>

<h3>Interpretation</h3>
<ul><li>Data presented in HAICViz may differ from other HAIC publications since different datasets or methods may be used.</li><li>Small numbers for some topics or filters may make year to year changes difficult to interpret.</li><li>Since each infection may have unique characteristics, the information available to display differs by individual organism.</li></ul>

<h3>More Details</h3>
<ul><li><a href=""https://www.cdc.gov/hai/eip/saureus.html#Methods"" target=""_blank"">Methodology</a>: Find details about surveillance population, case determination, surveillance evaluation, and more.</li><li>Reports and Findings: Access <a href=""https://www.cdc.gov/hai/eip/saureus.html#anchor_1611155585754"" target=""_blank"">reports</a> or lists of <a href=""https://www.cdc.gov/hai/eip/saureus.html#anchor_1611155777037"" target=""_blank"">publications</a> using HAIC Invasive Staphylococcus aureus data</li></ul>",,"{'name': 'HAICViz - iSA', 'id': 'ssz5-s49e', 'description': '<p>The healthcare-associated infection component of CDC’s <a href=""https://www.cdc.gov/ncezid/dpei/eip/index.html"" target=""_blank"">EIP</a> engages a <a href=""https://www.cdc.gov/ncezid/dpei/eip/eip-sites.html"" target=""_blank"">network</a> of state health departments and their academic medical center partners to help answer critical questions about emerging HAI threats, advanced infection tracking methods, and antibiotic resistance in the United States. Information gathered through this activity will play a key role in shaping future policies and recommendations targeting HAI prevention. Click <a href=""https://www.cdc.gov/hai/eip/saureus.html"" target=""_blank"">here</a> to learn more about Invasive Staphylococcus aureus infections</p>\n\n<h3>Interpretation</h3>\n<ul><li>Data presented in HAICViz may differ from other HAIC publications since different datasets or methods may be used.</li><li>Small numbers for some topics or filters may make year to year changes difficult to interpret.</li><li>Since each infection may have unique characteristics, the information available to display differs by individual organism.</li></ul>\n\n<h3>More Details</h3>\n<ul><li><a href=""https://www.cdc.gov/hai/eip/saureus.html#Methods"" target=""_blank"">Methodology</a>: Find details about surveillance population, case determination, surveillance evaluation, and more.</li><li>Reports and Findings: Access <a href=""https://www.cdc.gov/hai/eip/saureus.html#anchor_1611155585754"" target=""_blank"">reports</a> or lists of <a href=""https://www.cdc.gov/hai/eip/saureus.html#anchor_1611155777037"" target=""_blank"">publications</a> using HAIC Invasive Staphylococcus aureus data</li></ul>', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/HAICViz-iSA/ssz5-s49e'}"
HHS DRIVE,tug7-57z5,tug7-57z5_1736739248.161774_HHS_DRIVE_20250113.csv.gz,2025-01-13 03:34:08 UTC,https://data.cdc.gov/dataset/HHS-DRIVE/tug7-57z5,This data is what is visualized in the HHS DRIVE dashboard.,,"{'name': 'HHS DRIVE', 'id': 'tug7-57z5', 'description': 'This data is what is visualized in the HHS DRIVE dashboard.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/dataset/HHS-DRIVE/tug7-57z5'}"
HHS Provider Relief Fund,kh8y-3es6,kh8y-3es6_1736707162.275934_HHS_Provider_Relief_Fund_20250112.csv.gz,2025-01-12 18:39:22 UTC,https://data.cdc.gov/Administrative/HHS-Provider-Relief-Fund/kh8y-3es6,"HHS is providing support to healthcare providers fighting the coronavirus disease 2019 (COVID-19) pandemic through the bipartisan Coronavirus Aid, Relief, & Economic Security (CARES) Act; the Paycheck Protection Program and Health Care Enhancement Act (PPPHCEA); and the Coronavirus Response and Relief Supplemental Appropriations (CRRSA) Act, which provide a total of $178 billion for relief funds to hospitals and other healthcare providers on the front lines of the COVID-19 response. This funding supports healthcare-related expenses or lost revenue attributable to COVID-19 and ensures uninsured Americans can get treatment for COVID-19. HHS is distributing this Provider Relief Fund (PRF) money and these payments do not need to be repaid.

The Department allocated $50 billion in PRF payments for general distribution to Medicare facilities and providers impacted by COVID-19, based on eligible providers' net reimbursement. HHS has made other PRF distributions to a wide array of health care providers and more information on those distributions can be found here: https://www.hhs.gov/coronavirus/cares-act-provider-relief-fund/data/index.html","<https://data.cdc.gov/Administrative/HHS-Provider-Relief-Fund/kh8y-3es6>; rel=""original"",
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<http://web.archive.org/web/20250206101346/https://data.cdc.gov/Administrative/HHS-Provider-Relief-Fund/kh8y-3es6>; rel=""memento""; datetime=""Thu, 06 Feb 2025 10:13:46 GMT"",
<http://web.archive.org/web/20250209083426/https://data.cdc.gov/Administrative/HHS-Provider-Relief-Fund/kh8y-3es6>; rel=""memento""; datetime=""Sun, 09 Feb 2025 08:34:26 GMT""
","{'name': 'HHS Provider Relief Fund', 'id': 'kh8y-3es6', 'description': ""HHS is providing support to healthcare providers fighting the coronavirus disease 2019 (COVID-19) pandemic through the bipartisan Coronavirus Aid, Relief, & Economic Security (CARES) Act; the Paycheck Protection Program and Health Care Enhancement Act (PPPHCEA); and the Coronavirus Response and Relief Supplemental Appropriations (CRRSA) Act, which provide a total of $178 billion for relief funds to hospitals and other healthcare providers on the front lines of the COVID-19 response. This funding supports healthcare-related expenses or lost revenue attributable to COVID-19 and ensures uninsured Americans can get treatment for COVID-19. HHS is distributing this Provider Relief Fund (PRF) money and these payments do not need to be repaid.\n\nThe Department allocated $50 billion in PRF payments for general distribution to Medicare facilities and providers impacted by COVID-19, based on eligible providers' net reimbursement. HHS has made other PRF distributions to a wide array of health care providers and more information on those distributions can be found here: https://www.hhs.gov/coronavirus/cares-act-provider-relief-fund/data/index.html"", 'datatype': 'tabular', 'keywords': ['economy', 'finance', 'health', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Administrative/HHS-Provider-Relief-Fund/kh8y-3es6'}"
HHS Unaccompanied Children Program,w9g9-rj4y,w9g9-rj4y_1736712942.050210_HHS_Unaccompanied_Children_Program_20250112.csv.gz,2025-01-12 20:15:42 UTC,https://data.cdc.gov/Global-Health/HHS-Unaccompanied-Children-Program/w9g9-rj4y,"This data is no longer being updated. New data is being tracked at https://healthdata.gov/National/HHS-Unaccompanied-Children-Program/ehpz-xc9n

This data represents unaccompanied children who are taken into custody by Customs and Border Protection brought to a facility and processed for transfer to the Department of Health and Human Services (HHS) as required by law. HHS holds the child for testing and quarantine, and shelters the child until the child is placed with a sponsor here in the United States.",,"{'name': 'HHS Unaccompanied Children Program', 'id': 'w9g9-rj4y', 'description': 'This data is no longer being updated. New data is being tracked at https://healthdata.gov/National/HHS-Unaccompanied-Children-Program/ehpz-xc9n\n\nThis data represents unaccompanied children who are taken into custody by Customs and Border Protection brought to a facility and processed for transfer to the Department of Health and Human Services (HHS) as required by law. HHS holds the child for testing and quarantine, and shelters the child until the child is placed with a sponsor here in the United States.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Global-Health/HHS-Unaccompanied-Children-Program/w9g9-rj4y'}"
HUS_Footnote_Look_Up_ASTHCH,gjsp-ircr,gjsp-ircr_1736739402.789049_HUS_Footnote_Look_Up_ASTHCH_20250113.csv.gz,2025-01-13 03:36:42 UTC,https://data.cdc.gov/NCHS/HUS_Footnote_Look_Up_ASTHCH/gjsp-ircr,"Footnotes for Health, US - Asthma in children younger than age 18, by selected characteristics: United States. 

Data on asthma in children younger than age 18 in the United States, by selected characteristics. Data are from Health, United States. Source: National Center for Health Statistics, National Health Interview Survey.",,"{'name': 'HUS_Footnote_Look_Up_ASTHCH', 'id': 'gjsp-ircr', 'description': 'Footnotes for Health, US - Asthma in children younger than age 18, by selected characteristics: United States. \n\nData on asthma in children younger than age 18 in the United States, by selected characteristics. Data are from Health, United States. Source: National Center for Health Statistics, National Health Interview Survey.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/HUS_Footnote_Look_Up_ASTHCH/gjsp-ircr'}"
Health Service Area Population Greater Than 2Million,mu4v-zehj,mu4v-zehj_1736720472.886359_Health_Service_Area_Population_Greater_Than_2Million_20250112.csv.gz,2025-01-12 22:21:12 UTC,https://data.cdc.gov/Public-Health-Surveillance/Health-Service-Area-Population-Greater-Than-2Milli/mu4v-zehj,,,"{'name': 'Health Service Area Population Greater Than 2Million', 'id': 'mu4v-zehj', 'description': '', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/Health-Service-Area-Population-Greater-Than-2Milli/mu4v-zehj'}"
"Health conditions among children under age 18, by selected characteristics: United States",2m93-xvra,2m93-xvra_1736714810.148754_Health_conditions_among_children_under_age_18__by_selected_characteristics__United_States_20250112.csv.gz,2025-01-12 20:46:50 UTC,https://data.cdc.gov/NCHS/Health-conditions-among-children-under-age-18-by-s/2m93-xvra,"NOTE: On October 19, 2021, estimates for 2016–2018 by health insurance status were revised to correct errors. Changes are highlighted and tagged at https://www.cdc.gov/nchs/data/hus/2019/012-508.pdf

Data on health conditions among children under age 18, by selected population characteristics. Please refer to the PDF or Excel version of this table in the HUS 2019 Data Finder (https://www.cdc.gov/nchs/hus/contents2019.htm) for critical information about measures, definitions, and changes over time.

SOURCE: NCHS, National Health Interview Survey, Family Core and Sample Child questionnaires.  For more information on the National Health Interview Survey, see the corresponding Appendix entry at https://www.cdc.gov/nchs/data/hus/hus19-appendix-508.pdf.",,"{'name': 'Health conditions among children under age 18, by selected characteristics: United States', 'id': '2m93-xvra', 'description': 'NOTE: On October 19, 2021, estimates for 2016–2018 by health insurance status were revised to correct errors. Changes are highlighted and tagged at https://www.cdc.gov/nchs/data/hus/2019/012-508.pdf\n\nData on health conditions among children under age 18, by selected population characteristics. Please refer to the PDF or Excel version of this table in the HUS 2019 Data Finder (https://www.cdc.gov/nchs/hus/contents2019.htm) for critical information about measures, definitions, and changes over time.\n\nSOURCE: NCHS, National Health Interview Survey, Family Core and Sample Child questionnaires.  For more information on the National Health Interview Survey, see the corresponding Appendix entry at https://www.cdc.gov/nchs/data/hus/hus19-appendix-508.pdf.', 'datatype': 'tabular', 'keywords': ['demographics', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Health-conditions-among-children-under-age-18-by-s/2m93-xvra'}"
Healthy People 2020 Final Progress Table,x749-vh2i,x749-vh2i_1736721252.354253_Healthy_People_2020_Final_Progress_Table_20250112.csv.gz,2025-01-12 22:34:12 UTC,https://data.cdc.gov/NCHS/Healthy-People-2020-Final-Progress-Table/x749-vh2i,"[1] Status is determined using the baseline, final, and target value. The statuses used in Healthy People 2020 were: 

1 - Target met or exceeded—One of the following applies: (i) At baseline, the target was not met or exceeded, and the most recent value was equal to or exceeded the target. (The percentage of targeted change achieved was equal to or greater than 100%.); (ii) The baseline and most recent values were equal to or exceeded the target. (The percentage of targeted change achieved was not assessed.) 

2 - Improved—One of the following applies: (i) Movement was toward the target, standard errors were available, and the percentage of targeted change achieved was statistically significant; (ii) Movement was toward the target, standard errors were not available, and the objective had achieved 10% or more of the targeted change.

3 - Little or no detectable change—One of the following applies: (i) Movement was toward the target, standard errors were available, and the percentage of targeted change achieved was not statistically significant; (ii) Movement was toward the target, standard errors were not available, and the objective had achieved less than 10% of the targeted change; (iii) Movement was away from the baseline and target, standard errors were available, and the percent change relative to the baseline was not statistically significant; (iv) Movement was away from the baseline and target, standard errors were not available, and the objective had moved less than 10% relative to the baseline; (v) No change was observed between the baseline and the final data point.

4 - Got worse—One of the following applies: (i) Movement was away from the baseline and target, standard errors were available, and the percent change relative to the baseline was statistically significant; (ii) Movement was away from the baseline and target, standard errors were not available, and the objective had moved 10% or more relative to the baseline.

5 - Baseline only—The objective only had one data point, so progress toward target attainment could not be assessed. Note that if additional data points did not meet the criteria for statistical reliability, data quality, or confidentiality, the objective was categorized as baseline only. 

6 - Informational—A target was not set for this objective, so progress toward target attainment could not be assessed.


[2] The final value is generally based on data available on the Healthy People 2020 website as of January 2020. For objectives that are continuing into Healthy People 2030, more recent data are available on the Healthy People 2030 website: https://health.gov/healthypeople. 


[3] For objectives that moved toward their targets, movement toward the target was measured as the percentage of targeted change achieved (unless the target was already met or exceeded at baseline): 

Percentage of targeted change achieved = (Final value - Baseline value) / (HP2020 target - Baseline value) * 100


[4] For objectives that were not improving, did not meet or exceed their targets, and did not move towards their targets, movement away from the baseline was measured as the magnitude of the percent change from baseline: 

Magnitude of percent change from baseline = |Final value - Baseline value| / Baseline value * 100


[5] Statistical significance was tested when the objective had a target, at least two data points (of unequal value), and available standard errors of the data. A normal distribution was assumed. All available digits were used to test statistical significance. Statistical significance of the percentage of targeted change achieved or the magnitude of the percentage change from baseline was assessed at the 0.05 level using a normal one-sided test. 


[6] For more information on the Healthy People 2020 methodology for measuring progress toward target attainment and the elimination of health disparities, see: Healthy People Statistical Notes, no 27; available from: https://www.cdc.gov/nchs/data/sta","<https://data.cdc.gov/NCHS/Healthy-People-2020-Final-Progress-Table/x749-vh2i>; rel=""original"",
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<http://web.archive.org/web/20250208185619/https://data.cdc.gov/NCHS/Healthy-People-2020-Final-Progress-Table/x749-vh2i>; rel=""memento""; datetime=""Sat, 08 Feb 2025 18:56:19 GMT""
","{'name': 'Healthy People 2020 Final Progress Table', 'id': 'x749-vh2i', 'description': '[1] Status is determined using the baseline, final, and target value. The statuses used in Healthy People 2020 were: \n\n1 - Target met or exceeded—One of the following applies: (i) At baseline, the target was not met or exceeded, and the most recent value was equal to or exceeded the target. (The percentage of targeted change achieved was equal to or greater than 100%.); (ii) The baseline and most recent values were equal to or exceeded the target. (The percentage of targeted change achieved was not assessed.) \n\n2 - Improved—One of the following applies: (i) Movement was toward the target, standard errors were available, and the percentage of targeted change achieved was statistically significant; (ii) Movement was toward the target, standard errors were not available, and the objective had achieved 10% or more of the targeted change.\n\n3 - Little or no detectable change—One of the following applies: (i) Movement was toward the target, standard errors were available, and the percentage of targeted change achieved was not statistically significant; (ii) Movement was toward the target, standard errors were not available, and the objective had achieved less than 10% of the targeted change; (iii) Movement was away from the baseline and target, standard errors were available, and the percent change relative to the baseline was not statistically significant; (iv) Movement was away from the baseline and target, standard errors were not available, and the objective had moved less than 10% relative to the baseline; (v) No change was observed between the baseline and the final data point.\n\n4 - Got worse—One of the following applies: (i) Movement was away from the baseline and target, standard errors were available, and the percent change relative to the baseline was statistically significant; (ii) Movement was away from the baseline and target, standard errors were not available, and the objective had moved 10% or more relative to the baseline.\n\n5 - Baseline only—The objective only had one data point, so progress toward target attainment could not be assessed. Note that if additional data points did not meet the criteria for statistical reliability, data quality, or confidentiality, the objective was categorized as baseline only. \n\n6 - Informational—A target was not set for this objective, so progress toward target attainment could not be assessed.\n\n\n[2] The final value is generally based on data available on the Healthy People 2020 website as of January 2020. For objectives that are continuing into Healthy People 2030, more recent data are available on the Healthy People 2030 website: https://health.gov/healthypeople. \n\n\n[3] For objectives that moved toward their targets, movement toward the target was measured as the percentage of targeted change achieved (unless the target was already met or exceeded at baseline): \n\nPercentage of targeted change achieved = (Final value - Baseline value) / (HP2020 target - Baseline value) * 100\n\n\n[4] For objectives that were not improving, did not meet or exceed their targets, and did not move towards their targets, movement away from the baseline was measured as the magnitude of the percent change from baseline: \n\nMagnitude of percent change from baseline = |Final value - Baseline value| / Baseline value * 100\n\n\n[5] Statistical significance was tested when the objective had a target, at least two data points (of unequal value), and available standard errors of the data. A normal distribution was assumed. All available digits were used to test statistical significance. Statistical significance of the percentage of targeted change achieved or the magnitude of the percentage change from baseline was assessed at the 0.05 level using a normal one-sided test. \n\n\n[6] For more information on the Healthy People 2020 methodology for measuring progress toward target attainment and the elimination of health disparities, see: Healthy People Statistical Notes, no 27; available from: https://www.cdc.gov/nchs/data/sta', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Healthy-People-2020-Final-Progress-Table/x749-vh2i'}"
Healthy People 2020 Final Progress by Population Group Chart and Table,3q3z-9ucr,3q3z-9ucr_1736721423.698511_Healthy_People_2020_Final_Progress_by_Population_Group_Chart_and_Table_20250112.csv.gz,2025-01-12 22:37:03 UTC,https://data.cdc.gov/NCHS/Healthy-People-2020-Final-Progress-by-Population-G/3q3z-9ucr,"[1] The Progress by Population Group analysis is a component of the Healthy People 2020 (HP2020) Final Review. The analysis included subsets of the 1,111 measurable HP2020 objectives that have data available for any of six broad population characteristics: sex, race and ethnicity, educational attainment, family income, disability status, and geographic location. Progress toward meeting HP2020 targets is presented for up to 24 population groups within these characteristics, based on objective data aggregated across HP2020 topic areas. The Progress by Population Group data are also available at the individual objective level in the downloadable data set. 
[2] The final value was generally based on data available on the HP2020 website as of January 2020. For objectives that are continuing into HP2030, more recent data will be included on the HP2030 website as it becomes available: https://health.gov/healthypeople.
[3] For more information on the HP2020 methodology for measuring progress toward target attainment and the elimination of health disparities, see: Healthy People Statistical Notes, no 27; available from: https://www.cdc.gov/nchs/data/statnt/statnt27.pdf.
[4] Status for objectives included in the HP2020 Progress by Population Group analysis was determined using the baseline, final, and target value. The progress status categories used in HP2020 were:

a. Target met or exceeded—One of the following applies: (i) At baseline, the target was not met or exceeded, and the most recent value was equal to or exceeded the target (the percentage of targeted change achieved was equal to or greater than 100%); (ii) The baseline and most recent values were equal to or exceeded the target (the percentage of targeted change achieved was not assessed). 

b. Improved—One of the following applies: (i) Movement was toward the target, standard errors were available, and the percentage of targeted change achieved was statistically significant; (ii) Movement was toward the target, standard errors were not available, and the objective had achieved 10% or more of the targeted change.

c. Little or no detectable change—One of the following applies: (i) Movement was toward the target, standard errors were available, and the percentage of targeted change achieved was not statistically significant; (ii) Movement was toward the target, standard errors were not available, and the objective had achieved less than 10% of the targeted change; (iii) Movement was away from the baseline and target, standard errors were available, and the percent change relative to the baseline was not statistically significant; (iv) Movement was away from the baseline and target, standard errors were not available, and the objective had moved less than 10% relative to the baseline; (v) No change was observed between the baseline and the final data point.

d. Got worse—One of the following applies: (i) Movement was away from the baseline and target, standard errors were available, and the percent change relative to the baseline was statistically significant; (ii) Movement was away from the baseline and target, standard errors were not available, and the objective had moved 10% or more relative to the baseline.

NOTE: Measurable objectives had baseline data.
SOURCE: National Center for Health Statistics, Healthy People 2020 Progress by Population Group database.",,"{'name': 'Healthy People 2020 Final Progress by Population Group Chart and Table', 'id': '3q3z-9ucr', 'description': '[1] The Progress by Population Group analysis is a component of the Healthy People 2020 (HP2020) Final Review. The analysis included subsets of the 1,111 measurable HP2020 objectives that have data available for any of six broad population characteristics: sex, race and ethnicity, educational attainment, family income, disability status, and geographic location. Progress toward meeting HP2020 targets is presented for up to 24 population groups within these characteristics, based on objective data aggregated across HP2020 topic areas. The Progress by Population Group data are also available at the individual objective level in the downloadable data set. \n[2] The final value was generally based on data available on the HP2020 website as of January 2020. For objectives that are continuing into HP2030, more recent data will be included on the HP2030 website as it becomes available: https://health.gov/healthypeople.\n[3] For more information on the HP2020 methodology for measuring progress toward target attainment and the elimination of health disparities, see: Healthy People Statistical Notes, no 27; available from: https://www.cdc.gov/nchs/data/statnt/statnt27.pdf.\n[4] Status for objectives included in the HP2020 Progress by Population Group analysis was determined using the baseline, final, and target value. The progress status categories used in HP2020 were:\n\na. Target met or exceeded—One of the following applies: (i) At baseline, the target was not met or exceeded, and the most recent value was equal to or exceeded the target (the percentage of targeted change achieved was equal to or greater than 100%); (ii) The baseline and most recent values were equal to or exceeded the target (the percentage of targeted change achieved was not assessed). \n\nb. Improved—One of the following applies: (i) Movement was toward the target, standard errors were available, and the percentage of targeted change achieved was statistically significant; (ii) Movement was toward the target, standard errors were not available, and the objective had achieved 10% or more of the targeted change.\n\nc. Little or no detectable change—One of the following applies: (i) Movement was toward the target, standard errors were available, and the percentage of targeted change achieved was not statistically significant; (ii) Movement was toward the target, standard errors were not available, and the objective had achieved less than 10% of the targeted change; (iii) Movement was away from the baseline and target, standard errors were available, and the percent change relative to the baseline was not statistically significant; (iv) Movement was away from the baseline and target, standard errors were not available, and the objective had moved less than 10% relative to the baseline; (v) No change was observed between the baseline and the final data point.\n\nd. Got worse—One of the following applies: (i) Movement was away from the baseline and target, standard errors were available, and the percent change relative to the baseline was statistically significant; (ii) Movement was away from the baseline and target, standard errors were not available, and the objective had moved 10% or more relative to the baseline.\n\nNOTE: Measurable objectives had baseline data.\nSOURCE: National Center for Health Statistics, Healthy People 2020 Progress by Population Group database.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Healthy-People-2020-Final-Progress-by-Population-G/3q3z-9ucr'}"
Healthy People 2020 Foundation Health Measures,f3a8-hmpp,f3a8-hmpp_1736723829.981068_Healthy_People_2020_Foundation_Health_Measures_20250112.csv.gz,2025-01-12 23:17:09 UTC,https://data.cdc.gov/NCHS/Healthy-People-2020-Foundation-Health-Measures/f3a8-hmpp,The Foundation Health Measures component of the Healthy People 2020 (HP2020) Final Review includes data on 14 global summary measures used to monitor improvement in population health. See Technical Notes of the Foundation Health Measures in the HP2020 Final Review for additional information on the definition and construction of these measures included.,,"{'name': 'Healthy People 2020 Foundation Health Measures', 'id': 'f3a8-hmpp', 'description': 'The Foundation Health Measures component of the Healthy People 2020 (HP2020) Final Review includes data on 14 global summary measures used to monitor improvement in population health. See Technical Notes of the Foundation Health Measures in the HP2020 Final Review for additional information on the definition and construction of these measures included.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Healthy-People-2020-Foundation-Health-Measures/f3a8-hmpp'}"
Healthy People 2020 Overview of Health Disparities,fdpm-fddm,fdpm-fddm_1736720679.798356_Healthy_People_2020_Overview_of_Health_Disparities_20250112.csv.gz,2025-01-12 22:24:39 UTC,https://data.cdc.gov/NCHS/Healthy-People-2020-Overview-of-Health-Disparities/fdpm-fddm,"The Overview of Health Disparities analysis is a component of the Healthy People 2020 (HP2020) Final Review. The analysis included 611 objectives in HP2020. This file contains summary level information used for the evaluation of changes in disparities during HP2020, including calculations for the disparities measures and the disparities change categories for all objectives and population characteristics in the analysis. See Technical Notes for the Healthy People 2020 Overview of Health Disparities (https://www.cdc.gov/nchs/healthy_people/hp2020/health-disparities-technical-notes.htm) for additional information and criteria for objectives, data years, and population characteristics included in the analysis and statistical formulas and definitions for the disparities measures. 

Data for additional years during the HP2020 tracking period that are not included in the Overview of Health Disparities are available on the HP2020 website (https://www.healthypeople.gov/2020/). 

Note that “rate” as used may refer to a statistical rate expressed per unit population or a proportion, depending on how the HP2020 objective was defined.",,"{'name': 'Healthy People 2020 Overview of Health Disparities', 'id': 'fdpm-fddm', 'description': 'The Overview of Health Disparities analysis is a component of the Healthy People 2020 (HP2020) Final Review. The analysis included 611 objectives in HP2020. This file contains summary level information used for the evaluation of changes in disparities during HP2020, including calculations for the disparities measures and the disparities change categories for all objectives and population characteristics in the analysis. See Technical Notes for the Healthy People 2020 Overview of Health Disparities (https://www.cdc.gov/nchs/healthy_people/hp2020/health-disparities-technical-notes.htm) for additional information and criteria for objectives, data years, and population characteristics included in the analysis and statistical formulas and definitions for the disparities measures. \n\nData for additional years during the HP2020 tracking period that are not included in the Overview of Health Disparities are available on the HP2020 website (https://www.healthypeople.gov/2020/). \n\nNote that “rate” as used may refer to a statistical rate expressed per unit population or a proportion, depending on how the HP2020 objective was defined.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Healthy-People-2020-Overview-of-Health-Disparities/fdpm-fddm'}"
Healthy People 2020 Tobacco Use Objectives,hhew-mxbt,hhew-mxbt_1736715917.386333_Healthy_People_2020_Tobacco_Use_Objectives_20250112.csv.gz,2025-01-12 21:05:17 UTC,https://data.cdc.gov/Healthy-People-2020/Healthy-People-2020-Tobacco-Use-Objectives/hhew-mxbt,"U.S. Department of Health and Human Services (HHS). Centers for Disease Control and Prevention (CDC). Healthy People 2020 Tobacco Use Objectives. Healthy People 2020. Healthy People 2020 provides a framework for action to reduce tobacco use to the point that it is no longer a public health problem for the Nation. This dataset includes information related to the Healthy People 2020 Tobacco Use objectives, operational definitions, baselines, and targets. Baseline years may vary by objective. Targets represented correspond to the year 2020.",,"{'name': 'Healthy People 2020 Tobacco Use Objectives', 'id': 'hhew-mxbt', 'description': 'U.S. Department of Health and Human Services (HHS). Centers for Disease Control and Prevention (CDC). Healthy People 2020 Tobacco Use Objectives. Healthy People 2020. Healthy People 2020 provides a framework for action to reduce tobacco use to the point that it is no longer a public health problem for the Nation. This dataset includes information related to the Healthy People 2020 Tobacco Use objectives, operational definitions, baselines, and targets. Baseline years may vary by objective. Targets represented correspond to the year 2020.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Healthy-People-2020/Healthy-People-2020-Tobacco-Use-Objectives/hhew-mxbt'}"
Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County,48mw-5apu,48mw-5apu_1736722436.538437_Heart_Disease_Mortality_Data_Among_US_Adults__35___by_State_Territory_and_County_20250112.csv.gz,2025-01-12 22:53:56 UTC,https://data.cdc.gov/Heart-Disease-Stroke-Prevention/Heart-Disease-Mortality-Data-Among-US-Adults-35-by/48mw-5apu,"2014 to 2016, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html",,"{'name': 'Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County', 'id': '48mw-5apu', 'description': '2014 to 2016, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Heart-Disease-Stroke-Prevention/Heart-Disease-Mortality-Data-Among-US-Adults-35-by/48mw-5apu'}"
Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County – 2015-2017,mfvi-hkb9,mfvi-hkb9_1736727742.623136_Heart_Disease_Mortality_Data_Among_US_Adults__35___by_State_Territory_and_County___2015-2017_20250113.csv.gz,2025-01-13 00:22:22 UTC,https://data.cdc.gov/Heart-Disease-Stroke-Prevention/Heart-Disease-Mortality-Data-Among-US-Adults-35-by/mfvi-hkb9,"2015 to 2017, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-and-stroke-data/index.html",,"{'name': 'Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County – 2015-2017', 'id': 'mfvi-hkb9', 'description': '2015 to 2017, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-and-stroke-data/index.html', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Heart-Disease-Stroke-Prevention/Heart-Disease-Mortality-Data-Among-US-Adults-35-by/mfvi-hkb9'}"
Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County – 2016-2018,6x7h-usvx,6x7h-usvx_1736726584.083184_Heart_Disease_Mortality_Data_Among_US_Adults__35___by_State_Territory_and_County___2016-2018_20250113.csv.gz,2025-01-13 00:03:04 UTC,https://data.cdc.gov/Heart-Disease-Stroke-Prevention/Heart-Disease-Mortality-Data-Among-US-Adults-35-by/6x7h-usvx,"2016 to 2018, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html",,"{'name': 'Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County – 2016-2018', 'id': '6x7h-usvx', 'description': '2016 to 2018, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Heart-Disease-Stroke-Prevention/Heart-Disease-Mortality-Data-Among-US-Adults-35-by/6x7h-usvx'}"
Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County – 2017-2019,s6p7-fvbw,s6p7-fvbw_1736731439.756542_Heart_Disease_Mortality_Data_Among_US_Adults__35___by_State_Territory_and_County___2017-2019_20250113.csv.gz,2025-01-13 01:23:59 UTC,https://data.cdc.gov/Heart-Disease-Stroke-Prevention/Heart-Disease-Mortality-Data-Among-US-Adults-35-by/s6p7-fvbw,"2017 to 2019, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html",,"{'name': 'Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County – 2017-2019', 'id': 's6p7-fvbw', 'description': '2017 to 2019, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Heart-Disease-Stroke-Prevention/Heart-Disease-Mortality-Data-Among-US-Adults-35-by/s6p7-fvbw'}"
Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County – 2018-2020,jiwm-ppbh,jiwm-ppbh_1736720760.772939_Heart_Disease_Mortality_Data_Among_US_Adults__35___by_State_Territory_and_County___2018-2020_20250112.csv.gz,2025-01-12 22:26:00 UTC,https://data.cdc.gov/Heart-Disease-Stroke-Prevention/Heart-Disease-Mortality-Data-Among-US-Adults-35-by/jiwm-ppbh,"2018 to 2020, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html",,"{'name': 'Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County – 2018-2020', 'id': 'jiwm-ppbh', 'description': '2018 to 2020, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Heart-Disease-Stroke-Prevention/Heart-Disease-Mortality-Data-Among-US-Adults-35-by/jiwm-ppbh'}"
Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County – 2019-2021,55yu-xksw,55yu-xksw_1736723621.443917_Heart_Disease_Mortality_Data_Among_US_Adults__35___by_State_Territory_and_County___2019-2021_20250112.csv.gz,2025-01-12 23:13:41 UTC,https://data.cdc.gov/Heart-Disease-Stroke-Prevention/Heart-Disease-Mortality-Data-Among-US-Adults-35-by/55yu-xksw,"2019 to 2021, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html",,"{'name': 'Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County – 2019-2021', 'id': '55yu-xksw', 'description': '2019 to 2021, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Heart-Disease-Stroke-Prevention/Heart-Disease-Mortality-Data-Among-US-Adults-35-by/55yu-xksw'}"
Household Pulse Survey (HPS): COVID-19 Vaccination among People with Disabilities,muep-c3qd,muep-c3qd_1736718665.940602_Household_Pulse_Survey__HPS___COVID-19_Vaccination_among_People_with_Disabilities_20250112.csv.gz,2025-01-12 21:51:05 UTC,https://data.cdc.gov/Vaccinations/Household-Pulse-Survey-HPS-COVID-19-Vaccination-am/muep-c3qd,"Household Pulse Survey (HPS): HPS is a rapid-response survey of adults ages ≥18 years led by the U.S. Census Bureau, in partnership with seven other federal statistical agencies, to measure household experiences during the COVID-19 pandemic. Detailed information on probability sampling using the U.S. Census Bureau’s Master Address File, questionnaires, response rates, and bias assessment is available on the Census Bureau website (https://www.census.gov/data/experimental-data-products/household-pulse-survey.html).

Data from adults age ≥18 years are collected by 20-minute online survey from randomly sampled households stratified by state and the top 15 metropolitan statistical areas (MSAs). Data are weighted to represent total persons age 18 and older living within households and to mitigate possible bias that can result from non-responses and incomplete survey frame. Data from adults age ≥18 years are collected by 20-minute online survey from randomly sampled households stratified by state and the top 15 metropolitan statistical areas (MSAs). For more information on this survey, see https://www.census.gov/programs-surveys/household-pulse-survey.html.

Data are weighted to represent total persons age 18 and older living within households and to mitigate possible bias that can result from non-responses and incomplete survey frame. Responses in the Household Pulse Survey (https://www.census.gov/programs-surveys/household-pulse-survey.html) are self-reported. Estimates of vaccination coverage may differ from vaccine administration data reported at COVID-19 Vaccinations in the United States (https://covid.cdc.gov/covid-data-tracker/#vaccinations).",,"{'name': 'Household Pulse Survey (HPS): COVID-19 Vaccination among People with Disabilities', 'id': 'muep-c3qd', 'description': 'Household Pulse Survey (HPS): HPS is a rapid-response survey of adults ages ≥18 years led by the U.S. Census Bureau, in partnership with seven other federal statistical agencies, to measure household experiences during the COVID-19 pandemic. Detailed information on probability sampling using the U.S. Census Bureau’s Master Address File, questionnaires, response rates, and bias assessment is available on the Census Bureau website (https://www.census.gov/data/experimental-data-products/household-pulse-survey.html).\n\nData from adults age ≥18 years are collected by 20-minute online survey from randomly sampled households stratified by state and the top 15 metropolitan statistical areas (MSAs). Data are weighted to represent total persons age 18 and older living within households and to mitigate possible bias that can result from non-responses and incomplete survey frame. Data from adults age ≥18 years are collected by 20-minute online survey from randomly sampled households stratified by state and the top 15 metropolitan statistical areas (MSAs). For more information on this survey, see https://www.census.gov/programs-surveys/household-pulse-survey.html.\n\nData are weighted to represent total persons age 18 and older living within households and to mitigate possible bias that can result from non-responses and incomplete survey frame. Responses in the Household Pulse Survey (https://www.census.gov/programs-surveys/household-pulse-survey.html) are self-reported.\u202fEstimates of vaccination coverage may differ from vaccine administration data reported at\u202fCOVID-19 Vaccinations in the United States (https://covid.cdc.gov/covid-data-tracker/#vaccinations).', 'datatype': 'tabular', 'keywords': ['demographics', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/Household-Pulse-Survey-HPS-COVID-19-Vaccination-am/muep-c3qd'}"
"Impaired Driving Death Rate, by Age and Gender, 2012 & 2014, All States",ebbj-sh54,ebbj-sh54_1736708160.634740_Impaired_Driving_Death_Rate__by_Age_and_Gender__2012___2014__All_States_20250112.csv.gz,2025-01-12 18:56:00 UTC,https://data.cdc.gov/Motor-Vehicle/Impaired-Driving-Death-Rate-by-Age-and-Gender-2012/ebbj-sh54,"Rate of deaths by age/gender (per 100,000 population) for people killed in crashes involving a driver with BAC =>0.08%, 2012. 2012 Source: Fatality Analysis Reporting System (FARS)Note: Blank cells indicate data are suppressed. 2014 Source: Source: National Highway Traffic Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File. Fatality rates based on fewer than 20 deaths are suppressed.",,"{'name': 'Impaired Driving Death Rate, by Age and Gender, 2012 & 2014, All States', 'id': 'ebbj-sh54', 'description': ""Rate of deaths by age/gender (per 100,000 population) for people killed in crashes involving a driver with BAC =>0.08%, 2012. 2012 Source: Fatality Analysis Reporting System (FARS)Note: Blank cells indicate data are suppressed. 2014 Source: Source: National Highway Traffic Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File. Fatality rates based on fewer than 20 deaths are suppressed."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Motor-Vehicle/Impaired-Driving-Death-Rate-by-Age-and-Gender-2012/ebbj-sh54'}"
"Impaired Driving Death Rate, by Age and Gender, 2012 & 2014, Region 1 - Boston",ksf9-pem2,ksf9-pem2_1736727654.345049_Impaired_Driving_Death_Rate__by_Age_and_Gender__2012___2014__Region_1_-_Boston_20250113.csv.gz,2025-01-13 00:20:54 UTC,https://data.cdc.gov/Motor-Vehicle/Impaired-Driving-Death-Rate-by-Age-and-Gender-2012/ksf9-pem2,"Rate of deaths by age/gender (per 100,000 population) for people killed in crashes involving a driver with BAC =>0.08%, 2012, 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File. Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed.",,"{'name': 'Impaired Driving Death Rate, by Age and Gender, 2012 & 2014, Region 1 - Boston', 'id': 'ksf9-pem2', 'description': ""Rate of deaths by age/gender (per 100,000 population) for people killed in crashes involving a driver with BAC =>0.08%, 2012, 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File. Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed."", 'datatype': 'tabular', 'keywords': ['demographics', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Motor-Vehicle/Impaired-Driving-Death-Rate-by-Age-and-Gender-2012/ksf9-pem2'}"
"Impaired Driving Death Rate, by Age and Gender, 2012 & 2014, Region 10 - Seattle",x9gq-59r3,x9gq-59r3_1736732407.252634_Impaired_Driving_Death_Rate__by_Age_and_Gender__2012___2014__Region_10_-_Seattle_20250113.csv.gz,2025-01-13 01:40:07 UTC,https://data.cdc.gov/Motor-Vehicle/Impaired-Driving-Death-Rate-by-Age-and-Gender-2012/x9gq-59r3,"Rate of deaths by age/gender (per 100,000 population) for people killed in crashes involving a driver with BAC =>0.08%, 2012, 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File. Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed.",,"{'name': 'Impaired Driving Death Rate, by Age and Gender, 2012 & 2014, Region 10 - Seattle', 'id': 'x9gq-59r3', 'description': ""Rate of deaths by age/gender (per 100,000 population) for people killed in crashes involving a driver with BAC =>0.08%, 2012, 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File. Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Motor-Vehicle/Impaired-Driving-Death-Rate-by-Age-and-Gender-2012/x9gq-59r3'}"
"Impaired Driving Death Rate, by Age and Gender, 2012 & 2014, Region 2 - New York",bptw-uw4i,bptw-uw4i_1736732380.173759_Impaired_Driving_Death_Rate__by_Age_and_Gender__2012___2014__Region_2_-_New_York_20250113.csv.gz,2025-01-13 01:39:40 UTC,https://data.cdc.gov/Motor-Vehicle/Impaired-Driving-Death-Rate-by-Age-and-Gender-2012/bptw-uw4i,"Rate of deaths by age/gender (per 100,000 population) for people killed in crashes involving a driver with BAC =>0.08%, 2012, 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File. Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed.",,"{'name': 'Impaired Driving Death Rate, by Age and Gender, 2012 & 2014, Region 2 - New York', 'id': 'bptw-uw4i', 'description': ""Rate of deaths by age/gender (per 100,000 population) for people killed in crashes involving a driver with BAC =>0.08%, 2012, 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File. Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Motor-Vehicle/Impaired-Driving-Death-Rate-by-Age-and-Gender-2012/bptw-uw4i'}"
"Impaired Driving Death Rate, by Age and Gender, 2012 & 2014, Region 3 - Philadelphia",pvxp-wfpg,pvxp-wfpg_1736731592.031083_Impaired_Driving_Death_Rate__by_Age_and_Gender__2012___2014__Region_3_-_Philadelphia_20250113.csv.gz,2025-01-13 01:26:32 UTC,https://data.cdc.gov/Motor-Vehicle/Impaired-Driving-Death-Rate-by-Age-and-Gender-2012/pvxp-wfpg,"Rate of deaths by age/gender (per 100,000 population) for people killed in crashes involving a driver with BAC =>0.08%, 2012, 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File. Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed.",,"{'name': 'Impaired Driving Death Rate, by Age and Gender, 2012 & 2014, Region 3 - Philadelphia', 'id': 'pvxp-wfpg', 'description': ""Rate of deaths by age/gender (per 100,000 population) for people killed in crashes involving a driver with BAC =>0.08%, 2012, 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File. Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Motor-Vehicle/Impaired-Driving-Death-Rate-by-Age-and-Gender-2012/pvxp-wfpg'}"
"Impaired Driving Death Rate, by Age and Gender, 2012 & 2014, Region 4 - Atlanta",28km-nz6e,28km-nz6e_1736729505.084571_Impaired_Driving_Death_Rate__by_Age_and_Gender__2012___2014__Region_4_-_Atlanta_20250113.csv.gz,2025-01-13 00:51:45 UTC,https://data.cdc.gov/Motor-Vehicle/Impaired-Driving-Death-Rate-by-Age-and-Gender-2012/28km-nz6e,"Rate of deaths by age/gender (per 100,000 population) for people killed in crashes involving a driver with BAC =>0.08%, 2012, 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File. Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed.",,"{'name': 'Impaired Driving Death Rate, by Age and Gender, 2012 & 2014, Region 4 - Atlanta', 'id': '28km-nz6e', 'description': ""Rate of deaths by age/gender (per 100,000 population) for people killed in crashes involving a driver with BAC =>0.08%, 2012, 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File. Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Motor-Vehicle/Impaired-Driving-Death-Rate-by-Age-and-Gender-2012/28km-nz6e'}"
"Impaired Driving Death Rate, by Age and Gender, 2012 & 2014, Region 5 - Chicago",68ej-h5ze,68ej-h5ze_1736731732.128019_Impaired_Driving_Death_Rate__by_Age_and_Gender__2012___2014__Region_5_-_Chicago_20250113.csv.gz,2025-01-13 01:28:52 UTC,https://data.cdc.gov/Motor-Vehicle/Impaired-Driving-Death-Rate-by-Age-and-Gender-2012/68ej-h5ze,"Rate of deaths by age/gender (per 100,000 population) for people killed in crashes involving a driver with BAC =>0.08%, 2012, 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File. Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed.",,"{'name': 'Impaired Driving Death Rate, by Age and Gender, 2012 & 2014, Region 5 - Chicago', 'id': '68ej-h5ze', 'description': ""Rate of deaths by age/gender (per 100,000 population) for people killed in crashes involving a driver with BAC =>0.08%, 2012, 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File. Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Motor-Vehicle/Impaired-Driving-Death-Rate-by-Age-and-Gender-2012/68ej-h5ze'}"
"Impaired Driving Death Rate, by Age and Gender, 2012 & 2014, Region 6 - Dallas",k9ai-xgx2,k9ai-xgx2_1736732254.626714_Impaired_Driving_Death_Rate__by_Age_and_Gender__2012___2014__Region_6_-_Dallas_20250113.csv.gz,2025-01-13 01:37:34 UTC,https://data.cdc.gov/Motor-Vehicle/Impaired-Driving-Death-Rate-by-Age-and-Gender-2012/k9ai-xgx2,"Rate of deaths by age/gender (per 100,000 population) for people killed in crashes involving a driver with BAC =>0.08%, 2012, 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File. Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed.","<https://data.cdc.gov/Motor-Vehicle/Impaired-Driving-Death-Rate-by-Age-and-Gender-2012/k9ai-xgx2>; rel=""original"",
<http://web.archive.org/web/timemap/link/https://data.cdc.gov/Motor-Vehicle/Impaired-Driving-Death-Rate-by-Age-and-Gender-2012/k9ai-xgx2>; rel=""self""; type=""application/link-format""; from=""Sat, 05 Sep 2015 16:21:23 GMT"",
<http://web.archive.org/web/https://data.cdc.gov/Motor-Vehicle/Impaired-Driving-Death-Rate-by-Age-and-Gender-2012/k9ai-xgx2>; rel=""timegate"",
<http://web.archive.org/web/20150905162123/https://data.cdc.gov/Motor-Vehicle/Impaired-Driving-Death-Rate-by-Age-and-Gender-2012/k9ai-xgx2>; rel=""first memento""; datetime=""Sat, 05 Sep 2015 16:21:23 GMT"",
<http://web.archive.org/web/20210416230253/https://data.cdc.gov/Motor-Vehicle/Impaired-Driving-Death-Rate-by-Age-and-Gender-2012/k9ai-xgx2>; rel=""memento""; datetime=""Fri, 16 Apr 2021 23:02:53 GMT"",
<http://web.archive.org/web/20220517021213/https://data.cdc.gov/Motor-Vehicle/Impaired-Driving-Death-Rate-by-Age-and-Gender-2012/k9ai-xgx2>; rel=""memento""; datetime=""Tue, 17 May 2022 02:12:13 GMT"",
<http://web.archive.org/web/20220706032459/https://data.cdc.gov/Motor-Vehicle/Impaired-Driving-Death-Rate-by-Age-and-Gender-2012/k9ai-xgx2>; rel=""memento""; datetime=""Wed, 06 Jul 2022 03:24:59 GMT"",
<http://web.archive.org/web/20221130125954/https://data.cdc.gov/Motor-Vehicle/Impaired-Driving-Death-Rate-by-Age-and-Gender-2012/k9ai-xgx2>; rel=""memento""; datetime=""Wed, 30 Nov 2022 12:59:54 GMT"",
<http://web.archive.org/web/20241130063959/https://data.cdc.gov/Motor-Vehicle/Impaired-Driving-Death-Rate-by-Age-and-Gender-2012/k9ai-xgx2>; rel=""memento""; datetime=""Sat, 30 Nov 2024 06:39:59 GMT"",
<http://web.archive.org/web/20250201002043/https://data.cdc.gov/Motor-Vehicle/Impaired-Driving-Death-Rate-by-Age-and-Gender-2012/k9ai-xgx2>; rel=""memento""; datetime=""Sat, 01 Feb 2025 00:20:43 GMT"",
<http://web.archive.org/web/20250201204810/https://data.cdc.gov/Motor-Vehicle/Impaired-Driving-Death-Rate-by-Age-and-Gender-2012/k9ai-xgx2>; rel=""memento""; datetime=""Sat, 01 Feb 2025 20:48:10 GMT"",
<http://web.archive.org/web/20250201232631/https://data.cdc.gov/Motor-Vehicle/Impaired-Driving-Death-Rate-by-Age-and-Gender-2012/k9ai-xgx2>; rel=""memento""; datetime=""Sat, 01 Feb 2025 23:26:31 GMT"",
<http://web.archive.org/web/20250202004324/https://data.cdc.gov/Motor-Vehicle/Impaired-Driving-Death-Rate-by-Age-and-Gender-2012/k9ai-xgx2>; rel=""memento""; datetime=""Sun, 02 Feb 2025 00:43:24 GMT"",
<http://web.archive.org/web/20250202083634/https://data.cdc.gov/Motor-Vehicle/Impaired-Driving-Death-Rate-by-Age-and-Gender-2012/k9ai-xgx2>; rel=""memento""; datetime=""Sun, 02 Feb 2025 08:36:34 GMT"",
<http://web.archive.org/web/20250206070852/https://data.cdc.gov/Motor-Vehicle/Impaired-Driving-Death-Rate-by-Age-and-Gender-2012/k9ai-xgx2/>; rel=""memento""; datetime=""Thu, 06 Feb 2025 07:08:52 GMT"",
<http://web.archive.org/web/20250206072931/https://data.cdc.gov/Motor-Vehicle/Impaired-Driving-Death-Rate-by-Age-and-Gender-2012/k9ai-xgx2>; rel=""memento""; datetime=""Thu, 06 Feb 2025 07:29:31 GMT"",
<http://web.archive.org/web/20250206072936/https://data.cdc.gov/Motor-Vehicle/Impaired-Driving-Death-Rate-by-Age-and-Gender-2012/k9ai-xgx2>; rel=""memento""; datetime=""Thu, 06 Feb 2025 07:29:36 GMT""
","{'name': 'Impaired Driving Death Rate, by Age and Gender, 2012 & 2014, Region 6 - Dallas', 'id': 'k9ai-xgx2', 'description': ""Rate of deaths by age/gender (per 100,000 population) for people killed in crashes involving a driver with BAC =>0.08%, 2012, 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File. Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Motor-Vehicle/Impaired-Driving-Death-Rate-by-Age-and-Gender-2012/k9ai-xgx2'}"
"Impaired Driving Death Rate, by Age and Gender, 2012 & 2014, Region 7 - Kansas City",ea3z-m7eh,ea3z-m7eh_1736732309.226308_Impaired_Driving_Death_Rate__by_Age_and_Gender__2012___2014__Region_7_-_Kansas_City_20250113.csv.gz,2025-01-13 01:38:29 UTC,https://data.cdc.gov/Motor-Vehicle/Impaired-Driving-Death-Rate-by-Age-and-Gender-2012/ea3z-m7eh,"Rate of deaths by age/gender (per 100,000 population) for people killed in crashes involving a driver with BAC =>0.08%, 2012, 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File. Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed.",,"{'name': 'Impaired Driving Death Rate, by Age and Gender, 2012 & 2014, Region 7 - Kansas City', 'id': 'ea3z-m7eh', 'description': ""Rate of deaths by age/gender (per 100,000 population) for people killed in crashes involving a driver with BAC =>0.08%, 2012, 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File. Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Motor-Vehicle/Impaired-Driving-Death-Rate-by-Age-and-Gender-2012/ea3z-m7eh'}"
"Impaired Driving Death Rate, by Age and Gender, 2012 & 2014, Region 8 - Denver",3bjr-fr6m,3bjr-fr6m_1736731649.861391_Impaired_Driving_Death_Rate__by_Age_and_Gender__2012___2014__Region_8_-_Denver_20250113.csv.gz,2025-01-13 01:27:29 UTC,https://data.cdc.gov/Motor-Vehicle/Impaired-Driving-Death-Rate-by-Age-and-Gender-2012/3bjr-fr6m,"Rate of deaths by age/gender (per 100,000 population) for people killed in crashes involving a driver with BAC =>0.08%, 2012, 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File. Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed.",,"{'name': 'Impaired Driving Death Rate, by Age and Gender, 2012 & 2014, Region 8 - Denver', 'id': '3bjr-fr6m', 'description': ""Rate of deaths by age/gender (per 100,000 population) for people killed in crashes involving a driver with BAC =>0.08%, 2012, 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File. Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Motor-Vehicle/Impaired-Driving-Death-Rate-by-Age-and-Gender-2012/3bjr-fr6m'}"
"Impaired Driving Death Rate, by Age and Gender, 2012 & 2014, Region 9 - San Francisco",3se3-rwj2,3se3-rwj2_1736733924.286312_Impaired_Driving_Death_Rate__by_Age_and_Gender__2012___2014__Region_9_-_San_Francisco_20250113.csv.gz,2025-01-13 02:05:24 UTC,https://data.cdc.gov/Motor-Vehicle/Impaired-Driving-Death-Rate-by-Age-and-Gender-2012/3se3-rwj2,"Rate of deaths by age/gender (per 100,000 population) for people killed in crashes involving a driver with BAC =>0.08%, 2012, 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File. Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed.",,"{'name': 'Impaired Driving Death Rate, by Age and Gender, 2012 & 2014, Region 9 - San Francisco', 'id': '3se3-rwj2', 'description': ""Rate of deaths by age/gender (per 100,000 population) for people killed in crashes involving a driver with BAC =>0.08%, 2012, 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File. Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Motor-Vehicle/Impaired-Driving-Death-Rate-by-Age-and-Gender-2012/3se3-rwj2'}"
Income-Related Disparities in Cigarette Smoking Among Adults,48tb-imas,48tb-imas_1736738506.160213_Income-Related_Disparities_in_Cigarette_Smoking_Among_Adults_20250113.csv.gz,2025-01-13 03:21:46 UTC,https://data.cdc.gov/Survey-Data/Income-Related-Disparities-in-Cigarette-Smoking-Am/48tb-imas,"2011–2023. The tobacco disparities dashboard data utilized the Behavioral Risk Factor Surveillance System (BRFSS) data to measure cigarette smoking disparities by income. The disparity value is the relative difference in the cigarette smoking prevalence among adults 18 and older in a focus group divided by the cigarette smoking prevalence among adults 18 and older in a reference group. A disparity value above 1 indicates that adults in the focus group smoke cigarettes at a higher rate, as reflected by the disparity value, compared with the rate among adults in the reference group who smoke cigarettes. A disparity value below 1 indicates that adults in the focus group smoke cigarettes at a lower rate, as reflected by the disparity value, compared with the rate among adults in the reference group who smoke cigarettes. A disparity value of 1 means there is no relative difference in the rate of adults who smoke cigarettes for the two groups compared.",,"{'name': 'Income-Related Disparities in Cigarette Smoking Among Adults', 'id': '48tb-imas', 'description': '2011–2023. The tobacco disparities dashboard data utilized the Behavioral Risk Factor Surveillance System (BRFSS) data to measure cigarette smoking disparities by income. The disparity value is the relative difference in the cigarette smoking prevalence among adults 18 and older in a focus group divided by the cigarette smoking prevalence among adults 18 and older in a reference group. A disparity value above 1 indicates that adults in the focus group smoke cigarettes at a higher rate, as reflected by the disparity value, compared with the rate among adults in the reference group who smoke cigarettes. A disparity value below 1 indicates that adults in the focus group smoke cigarettes at a lower rate, as reflected by the disparity value, compared with the rate among adults in the reference group who smoke cigarettes. A disparity value of 1 means there is no relative difference in the rate of adults who smoke cigarettes for the two groups compared.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Survey-Data/Income-Related-Disparities-in-Cigarette-Smoking-Am/48tb-imas'}"
Indicators of Anxiety or Depression Based on Reported Frequency of Symptoms During Last 7 Days,8pt5-q6wp,8pt5-q6wp_1736708922.419498_Indicators_of_Anxiety_or_Depression_Based_on_Reported_Frequency_of_Symptoms_During_Last_7_Days_20250112.csv.gz,2025-01-12 19:08:42 UTC,https://data.cdc.gov/NCHS/Indicators-of-Anxiety-or-Depression-Based-on-Repor/8pt5-q6wp,"The U.S. Census Bureau, in collaboration with five federal agencies, launched the Household Pulse Survey to produce data on the social and economic impacts of Covid-19 on American households.  The Household Pulse Survey was designed to gauge the impact of the pandemic on employment status, consumer spending, food security, housing, education disruptions, and dimensions of physical and mental wellness.

The survey was designed to meet the goal of accurate and timely weekly estimates. It was conducted by an internet questionnaire, with invitations to participate sent by email and text message. The sample frame is the Census Bureau Master Address File Data. Housing units linked to one or more email addresses or cell phone numbers were randomly selected to participate, and one respondent from each housing unit was selected to respond for him or herself. Estimates are weighted to adjust for nonresponse and to match Census Bureau estimates of the population by age, sex, race and ethnicity, and educational attainment. All estimates shown meet the NCHS Data Presentation Standards for Proportions,",,"{'name': 'Indicators of Anxiety or Depression Based on Reported Frequency of Symptoms During Last 7 Days', 'id': '8pt5-q6wp', 'description': 'The U.S. Census Bureau, in collaboration with five federal agencies, launched the Household Pulse Survey to produce data on the social and economic impacts of Covid-19 on American households.  The Household Pulse Survey was designed to gauge the impact of the pandemic on employment status, consumer spending, food security, housing, education disruptions, and dimensions of physical and mental wellness.\n\nThe survey was designed to meet the goal of accurate and timely weekly estimates. It was conducted by an internet questionnaire, with invitations to participate sent by email and text message. The sample frame is the Census Bureau Master Address File Data. Housing units linked to one or more email addresses or cell phone numbers were randomly selected to participate, and one respondent from each housing unit was selected to respond for him or herself. Estimates are weighted to adjust for nonresponse and to match Census Bureau estimates of the population by age, sex, race and ethnicity, and educational attainment. All estimates shown meet the NCHS Data Presentation Standards for Proportions,', 'datatype': 'tabular', 'keywords': ['demographics', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Indicators-of-Anxiety-or-Depression-Based-on-Repor/8pt5-q6wp'}"
Indicators of Health Insurance Coverage at the Time of Interview,jb9g-gnvr,jb9g-gnvr_1736713863.145595_Indicators_of_Health_Insurance_Coverage_at_the_Time_of_Interview_20250112.csv.gz,2025-01-12 20:31:03 UTC,https://data.cdc.gov/NCHS/Indicators-of-Health-Insurance-Coverage-at-the-Tim/jb9g-gnvr,"The U.S. Census Bureau, in collaboration with five federal agencies, launched the Household Pulse Survey to produce data on the social and economic impacts of Covid-19 on American households.  The Household Pulse Survey was designed to gauge the impact of the pandemic on employment status, consumer spending, food security, housing, education disruptions, and dimensions of physical and mental wellness.

The survey was designed to meet the goal of accurate and timely weekly estimates. It was conducted by an internet questionnaire, with invitations to participate sent by email and text message. The sample frame is the Census Bureau Master Address File Data. Housing units linked to one or more email addresses or cell phone numbers were randomly selected to participate, and one respondent from each housing unit was selected to respond for him or herself. Estimates are weighted to adjust for nonresponse and to match Census Bureau estimates of the population by age, sex, race and ethnicity, and educational attainment. All estimates shown meet the NCHS Data Presentation Standards for Proportions.",,"{'name': 'Indicators of Health Insurance Coverage at the Time of Interview', 'id': 'jb9g-gnvr', 'description': 'The U.S. Census Bureau, in collaboration with five federal agencies, launched the Household Pulse Survey to produce data on the social and economic impacts of Covid-19 on American households.  The Household Pulse Survey was designed to gauge the impact of the pandemic on employment status, consumer spending, food security, housing, education disruptions, and dimensions of physical and mental wellness.\n\nThe survey was designed to meet the goal of accurate and timely weekly estimates. It was conducted by an internet questionnaire, with invitations to participate sent by email and text message. The sample frame is the Census Bureau Master Address File Data. Housing units linked to one or more email addresses or cell phone numbers were randomly selected to participate, and one respondent from each housing unit was selected to respond for him or herself. Estimates are weighted to adjust for nonresponse and to match Census Bureau estimates of the population by age, sex, race and ethnicity, and educational attainment. All estimates shown meet the NCHS Data Presentation Standards for Proportions.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Indicators-of-Health-Insurance-Coverage-at-the-Tim/jb9g-gnvr'}"
Indicators of Reduced Access to Care Due to the Coronavirus Pandemic During Last 4 Weeks,xb3p-q62w,xb3p-q62w_1736714838.010873_Indicators_of_Reduced_Access_to_Care_Due_to_the_Coronavirus_Pandemic_During_Last_4_Weeks_20250112.csv.gz,2025-01-12 20:47:18 UTC,https://data.cdc.gov/NCHS/Indicators-of-Reduced-Access-to-Care-Due-to-the-Co/xb3p-q62w,"The U.S. Census Bureau, in collaboration with five federal agencies, launched the Household Pulse Survey to produce data on the social and economic impacts of Covid-19 on American households.  The Household Pulse Survey was designed to gauge the impact of the pandemic on employment status, consumer spending, food security, housing, education disruptions, and dimensions of physical and mental wellness.

The survey was designed to meet the goal of accurate and timely weekly estimates. It was conducted by an internet questionnaire, with invitations to participate sent by email and text message. The sample frame is the Census Bureau Master Address File Data. Housing units linked to one or more email addresses or cell phone numbers were randomly selected to participate, and one respondent from each housing unit was selected to respond for him or herself. Estimates are weighted to adjust for nonresponse and to match Census Bureau estimates of the population by age, sex, race and ethnicity, and educational attainment. All estimates shown meet the NCHS Data Presentation Standards for Proportions.",,"{'name': 'Indicators of Reduced Access to Care Due to the Coronavirus Pandemic During Last 4 Weeks', 'id': 'xb3p-q62w', 'description': 'The U.S. Census Bureau, in collaboration with five federal agencies, launched the Household Pulse Survey to produce data on the social and economic impacts of Covid-19 on American households.  The Household Pulse Survey was designed to gauge the impact of the pandemic on employment status, consumer spending, food security, housing, education disruptions, and dimensions of physical and mental wellness.\n\nThe survey was designed to meet the goal of accurate and timely weekly estimates. It was conducted by an internet questionnaire, with invitations to participate sent by email and text message. The sample frame is the Census Bureau Master Address File Data. Housing units linked to one or more email addresses or cell phone numbers were randomly selected to participate, and one respondent from each housing unit was selected to respond for him or herself. Estimates are weighted to adjust for nonresponse and to match Census Bureau estimates of the population by age, sex, race and ethnicity, and educational attainment. All estimates shown meet the NCHS Data Presentation Standards for Proportions.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Indicators-of-Reduced-Access-to-Care-Due-to-the-Co/xb3p-q62w'}"
"Infant Protection Against Respiratory Syncytial Virus (RSV) by Maternal RSV Vaccination or Receipt of Nirsevimab, and Intent for Nirsevimab Receipt, United States",vdz4-qrri,vdz4-qrri_1736739147.252664_Infant_Protection_Against_Respiratory_Syncytial_Virus__RSV__by_Maternal_RSV_Vaccination_or_Receipt_of_Nirsevimab__and_Intent_for_Nirsevimab_Receipt__United_States_20250113.csv.gz,2025-01-13 03:32:27 UTC,https://data.cdc.gov/Pregnancy-Vaccination/Infant-Protection-Against-Respiratory-Syncytial-Vi/vdz4-qrri,"Infant Protection Against RSV by Maternal RSV Vaccination or Receipt of Nirsevimab and Intent for Nirsevimab Receipt, Reported by Females Aged 18-49 Years Who Have an Infant <8 Months During the RSV Season (born since April 1, 2024)

Monthly estimates of infant protection against RSV by maternal RSV vaccination or receipt of nirsevimab, as well as intent for nirsevimab receipt, were calculated using data from the from the National Immunization Survey–Adult COVID Module (NIS–ACM). (https://www.cdc.gov/nis/about/index.html). Data were reported by adult females aged 18-49 years with infants under the age of 8 months during the RSV season (born since April 1, 2024). The NIS–ACM is an ongoing random-digit-dial cellular telephone survey of households with adults 18 years and older. All estimates are based upon parent-reported receipt of nirsevimab.",,"{'name': 'Infant Protection Against Respiratory Syncytial Virus (RSV) by Maternal RSV Vaccination or Receipt of Nirsevimab, and Intent for Nirsevimab Receipt, United States', 'id': 'vdz4-qrri', 'description': 'Infant Protection Against RSV by Maternal RSV Vaccination or Receipt of Nirsevimab and Intent for Nirsevimab Receipt, Reported by Females Aged 18-49 Years Who Have an Infant <8 Months During the RSV Season (born since April 1, 2024)\n\nMonthly estimates of infant protection against RSV by maternal RSV vaccination or receipt of nirsevimab, as well as intent for nirsevimab receipt, were calculated using data from the from the National Immunization Survey–Adult COVID Module (NIS–ACM). (https://www.cdc.gov/nis/about/index.html). Data were reported by adult females aged 18-49 years with infants under the age of 8 months during the RSV season (born since April 1, 2024). The NIS–ACM is an ongoing random-digit-dial cellular telephone survey of households with adults 18 years and older. All estimates are based upon parent-reported receipt of nirsevimab.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Pregnancy-Vaccination/Infant-Protection-Against-Respiratory-Syncytial-Vi/vdz4-qrri'}"
"Infant, neonatal, postneonatal, fetal, and perinatal mortality rates, by detailed race and Hispanic origin of mother: United States",nfuu-hu6j,nfuu-hu6j_1736719285.576601_Infant__neonatal__postneonatal__fetal__and_perinatal_mortality_rates__by_detailed_race_and_Hispanic_origin_of_mother__United_States_20250112.csv.gz,2025-01-12 22:01:25 UTC,https://data.cdc.gov/NCHS/Infant-neonatal-postneonatal-fetal-and-perinatal-m/nfuu-hu6j,"Data on infant, neonatal, postneonatal, fetal, and perinatal mortality rates by selected characteristics of the mother. Please refer to the PDF or Excel version of this table in the HUS 2019 Data Finder (https://www.cdc.gov/nchs/hus/contents2019.htm) for critical information about measures, definitions, and changes over time. 

SOURCE: NCHS, National Vital Statistics System, public-use Linked Birth/Infant Death Data Set, public-use Fetal Death File, and public-use Birth File. For more information on the National Vital Statistics System, see the corresponding Appendix entry at https://www.cdc.gov/nchs/data/hus/hus19-appendix-508.pdf.","<https://data.cdc.gov/NCHS/Infant-neonatal-postneonatal-fetal-and-perinatal-m/nfuu-hu6j>; rel=""original"",
<http://web.archive.org/web/timemap/link/https://data.cdc.gov/NCHS/Infant-neonatal-postneonatal-fetal-and-perinatal-m/nfuu-hu6j>; rel=""self""; type=""application/link-format""; from=""Tue, 20 Jul 2021 10:05:28 GMT"",
<http://web.archive.org/web/https://data.cdc.gov/NCHS/Infant-neonatal-postneonatal-fetal-and-perinatal-m/nfuu-hu6j>; rel=""timegate"",
<http://web.archive.org/web/20210720100528/https://data.cdc.gov/NCHS/Infant-neonatal-postneonatal-fetal-and-perinatal-m/nfuu-hu6j>; rel=""first memento""; datetime=""Tue, 20 Jul 2021 10:05:28 GMT"",
<http://web.archive.org/web/20210720100531/https://data.cdc.gov/NCHS/Infant-neonatal-postneonatal-fetal-and-perinatal-m/nfuu-hu6j>; rel=""memento""; datetime=""Tue, 20 Jul 2021 10:05:31 GMT"",
<http://web.archive.org/web/20240930170201/https://data.cdc.gov/NCHS/Infant-neonatal-postneonatal-fetal-and-perinatal-m/nfuu-hu6j>; rel=""memento""; datetime=""Mon, 30 Sep 2024 17:02:01 GMT"",
<http://web.archive.org/web/20241127021754/https://data.cdc.gov/NCHS/Infant-neonatal-postneonatal-fetal-and-perinatal-m/nfuu-hu6j>; rel=""memento""; datetime=""Wed, 27 Nov 2024 02:17:54 GMT"",
<http://web.archive.org/web/20250201003501/https://data.cdc.gov/NCHS/Infant-neonatal-postneonatal-fetal-and-perinatal-m/nfuu-hu6j>; rel=""memento""; datetime=""Sat, 01 Feb 2025 00:35:01 GMT"",
<http://web.archive.org/web/20250201205114/https://data.cdc.gov/NCHS/Infant-neonatal-postneonatal-fetal-and-perinatal-m/nfuu-hu6j>; rel=""memento""; datetime=""Sat, 01 Feb 2025 20:51:14 GMT"",
<http://web.archive.org/web/20250202020819/https://data.cdc.gov/NCHS/Infant-neonatal-postneonatal-fetal-and-perinatal-m/nfuu-hu6j>; rel=""memento""; datetime=""Sun, 02 Feb 2025 02:08:19 GMT"",
<http://web.archive.org/web/20250202211021/https://data.cdc.gov/NCHS/Infant-neonatal-postneonatal-fetal-and-perinatal-m/nfuu-hu6j>; rel=""memento""; datetime=""Sun, 02 Feb 2025 21:10:21 GMT"",
<http://web.archive.org/web/20250203195548/https://data.cdc.gov/NCHS/Infant-neonatal-postneonatal-fetal-and-perinatal-m/nfuu-hu6j>; rel=""memento""; datetime=""Mon, 03 Feb 2025 19:55:48 GMT"",
<http://web.archive.org/web/20250206195324/https://data.cdc.gov/NCHS/Infant-neonatal-postneonatal-fetal-and-perinatal-m/nfuu-hu6j>; rel=""memento""; datetime=""Thu, 06 Feb 2025 19:53:24 GMT"",
<http://web.archive.org/web/20250206195328/https://data.cdc.gov/NCHS/Infant-neonatal-postneonatal-fetal-and-perinatal-m/nfuu-hu6j/>; rel=""memento""; datetime=""Thu, 06 Feb 2025 19:53:28 GMT"",
<http://web.archive.org/web/20250206195401/https://data.cdc.gov/NCHS/Infant-neonatal-postneonatal-fetal-and-perinatal-m/nfuu-hu6j>; rel=""memento""; datetime=""Thu, 06 Feb 2025 19:54:01 GMT"",
<http://web.archive.org/web/20250207162801/https://data.cdc.gov/NCHS/Infant-neonatal-postneonatal-fetal-and-perinatal-m/nfuu-hu6j>; rel=""memento""; datetime=""Fri, 07 Feb 2025 16:28:01 GMT""
","{'name': 'Infant, neonatal, postneonatal, fetal, and perinatal mortality rates, by detailed race and Hispanic origin of mother: United States', 'id': 'nfuu-hu6j', 'description': 'Data on infant, neonatal, postneonatal, fetal, and perinatal mortality rates by selected characteristics of the mother. Please refer to the PDF or Excel version of this table in the HUS 2019 Data Finder (https://www.cdc.gov/nchs/hus/contents2019.htm) for critical information about measures, definitions, and changes over time. \n\nSOURCE: NCHS, National Vital Statistics System, public-use Linked Birth/Infant Death Data Set, public-use Fetal Death File, and public-use Birth File. For more information on the National Vital Statistics System, see the corresponding Appendix entry at https://www.cdc.gov/nchs/data/hus/hus19-appendix-508.pdf.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Infant-neonatal-postneonatal-fetal-and-perinatal-m/nfuu-hu6j'}"
Influenza Vaccination Coverage for All Ages (6+ Months),vh55-3he6,vh55-3he6_1736711121.281515_Influenza_Vaccination_Coverage_for_All_Ages__6__Months__20250112.csv.gz,2025-01-12 19:45:21 UTC,https://data.cdc.gov/Flu-Vaccinations/Influenza-Vaccination-Coverage-for-All-Ages-6-Mont/vh55-3he6,"Influenza Vaccination Coverage for All Ages (6+ Months)

• Data on influenza vaccination coverage from the National Immunization Survey-Flu (NIS-Flu) and the Behavioral Risk Factor Surveillance System (BRFSS) for the general population at the national, regional, and state levels by age group and race/ethnicity.
 
• Additional information available at https://www.cdc.gov/flu/fluvaxview/index.htm",,"{'name': 'Influenza Vaccination Coverage for All Ages (6+ Months)', 'id': 'vh55-3he6', 'description': 'Influenza Vaccination Coverage for All Ages (6+ Months)\n\n• Data on influenza vaccination coverage from the National Immunization Survey-Flu (NIS-Flu) and the Behavioral Risk Factor Surveillance System (BRFSS) for the general population at the national, regional, and state levels by age group and race/ethnicity.\n \n• Additional information available at https://www.cdc.gov/flu/fluvaxview/index.htm', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Flu-Vaccinations/Influenza-Vaccination-Coverage-for-All-Ages-6-Mont/vh55-3he6'}"
"Influenza-related School Closures: USA, 2011-2022",5una-zw6e,5una-zw6e_1736739133.598660_Influenza-related_School_Closures__USA__2011-2022_20250113.csv.gz,2025-01-13 03:32:13 UTC,https://data.cdc.gov/Public-Health-Surveillance/Influenza-related-School-Closures-USA-2011-2022/5una-zw6e,"Unplanned public K-12 school district and individual school closures due to influenza and influenza-like illness in the United States from August 1, 2011–June 30, 2022.",,"{'name': 'Influenza-related School Closures: USA, 2011-2022', 'id': '5una-zw6e', 'description': 'Unplanned public K-12 school district and individual school closures due to influenza and influenza-like illness in the United States from August 1, 2011–June 30, 2022.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/Influenza-related-School-Closures-USA-2011-2022/5una-zw6e'}"
"Initial injury-related visits to hospital emergency departments, by sex, age, and intent and mechanism of injury: United States",w4cs-jspc,w4cs-jspc_1736722494.026688_Initial_injury-related_visits_to_hospital_emergency_departments__by_sex__age__and_intent_and_mechanism_of_injury__United_States_20250112.csv.gz,2025-01-12 22:54:54 UTC,https://data.cdc.gov/NCHS/Initial-injury-related-visits-to-hospital-emergenc/w4cs-jspc,"<strong>On December 20 2021, all estimates and standard errors for 2017–2018 were revised in this table to correct programming errors.</strong>

Data on initial injury-related visits to hospital emergency departments, by sex, age, and intent and mechanism of injury. Please refer to the PDF or Excel version of this table in the HUS 2019 Data Finder (https://www.cdc.gov/nchs/hus/contents2019.htm) for critical information about measures, definitions, and changes over time. Due to a change in national medical data coding standards in 2015, from the International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) to the ICD-10-CM, the definition for injuries and injury subcategories changed for the 2017 reporting period and beyond. Results from 2017 and subsequent years should not be compared with previous reporting periods. Any observed changes in trends across this transition period should not be considered. Data for 2016 are not included. Additional information regarding injury definitions and categorization of injuries by mechanism and intent of injury is available at: https://www.cdc.gov/nchs/injury/injury_tools.htm. Note that the data file available here has more recent years of data than what is shown in the PDF or Excel version.

SOURCE: NCHS, National Hospital Ambulatory Medical Care Survey. For more information on the National Hospital Ambulatory Medical Care Survey, see the corresponding Appendix entry at https://www.cdc.gov/nchs/data/hus/hus17_appendix.pdf.",,"{'name': 'Initial injury-related visits to hospital emergency departments, by sex, age, and intent and mechanism of injury: United States', 'id': 'w4cs-jspc', 'description': '<strong>On December 20 2021, all estimates and standard errors for 2017–2018 were revised in this table to correct programming errors.</strong>\n\nData on initial injury-related visits to hospital emergency departments, by sex, age, and intent and mechanism of injury. Please refer to the PDF or Excel version of this table in the HUS 2019 Data Finder (https://www.cdc.gov/nchs/hus/contents2019.htm) for critical information about measures, definitions, and changes over time. Due to a change in national medical data coding standards in 2015, from the International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) to the ICD-10-CM, the definition for injuries and injury subcategories changed for the 2017 reporting period and beyond. Results from 2017 and subsequent years should not be compared with previous reporting periods. Any observed changes in trends across this transition period should not be considered. Data for 2016 are not included. Additional information regarding injury definitions and categorization of injuries by mechanism and intent of injury is available at: https://www.cdc.gov/nchs/injury/injury_tools.htm. Note that the data file available here has more recent years of data than what is shown in the PDF or Excel version.\n\nSOURCE: NCHS, National Hospital Ambulatory Medical Care Survey. For more information on the National Hospital Ambulatory Medical Care Survey, see the corresponding Appendix entry at https://www.cdc.gov/nchs/data/hus/hus17_appendix.pdf.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Initial-injury-related-visits-to-hospital-emergenc/w4cs-jspc'}"
JMK_DHDS_POC,bst4-hnte,bst4-hnte_1736739065.688233_JMK_DHDS_POC_20250113.csv.gz,2025-01-13 03:31:05 UTC,https://data.cdc.gov/dataset/JMK_DHDS_POC/bst4-hnte,,"<https://data.cdc.gov/dataset/JMK_DHDS_POC/bst4-hnte>; rel=""original"",
<http://web.archive.org/web/timemap/link/https://data.cdc.gov/dataset/JMK_DHDS_POC/bst4-hnte>; rel=""self""; type=""application/link-format""; from=""Sun, 01 Dec 2024 10:22:25 GMT"",
<http://web.archive.org/web/https://data.cdc.gov/dataset/JMK_DHDS_POC/bst4-hnte>; rel=""timegate"",
<http://web.archive.org/web/20241201102225/https://data.cdc.gov/dataset/JMK_DHDS_POC/bst4-hnte>; rel=""first memento""; datetime=""Sun, 01 Dec 2024 10:22:25 GMT"",
<http://web.archive.org/web/20250117211015/https://data.cdc.gov/dataset/JMK_DHDS_POC/bst4-hnte>; rel=""memento""; datetime=""Fri, 17 Jan 2025 21:10:15 GMT"",
<http://web.archive.org/web/20250117214057/https://data.cdc.gov/dataset/JMK_DHDS_POC/bst4-hnte>; rel=""memento""; datetime=""Fri, 17 Jan 2025 21:40:57 GMT"",
<http://web.archive.org/web/20250117221718/https://data.cdc.gov/dataset/JMK_DHDS_POC/bst4-hnte>; rel=""memento""; datetime=""Fri, 17 Jan 2025 22:17:18 GMT"",
<http://web.archive.org/web/20250201005038/https://data.cdc.gov/dataset/JMK_DHDS_POC/bst4-hnte>; rel=""memento""; datetime=""Sat, 01 Feb 2025 00:50:38 GMT"",
<http://web.archive.org/web/20250201211435/https://data.cdc.gov/dataset/JMK_DHDS_POC/bst4-hnte>; rel=""memento""; datetime=""Sat, 01 Feb 2025 21:14:35 GMT"",
<http://web.archive.org/web/20250203090235/https://data.cdc.gov/dataset/JMK_DHDS_POC/bst4-hnte>; rel=""memento""; datetime=""Mon, 03 Feb 2025 09:02:35 GMT"",
<http://web.archive.org/web/20250208013826/https://data.cdc.gov/dataset/JMK_DHDS_POC/bst4-hnte>; rel=""memento""; datetime=""Sat, 08 Feb 2025 01:38:26 GMT"",
<http://web.archive.org/web/20250209201007/https://data.cdc.gov/dataset/JMK_DHDS_POC/bst4-hnte/>; rel=""memento""; datetime=""Sun, 09 Feb 2025 20:10:07 GMT"",
<http://web.archive.org/web/20250209201028/https://data.cdc.gov/dataset/JMK_DHDS_POC/bst4-hnte>; rel=""memento""; datetime=""Sun, 09 Feb 2025 20:10:28 GMT"",
<http://web.archive.org/web/20250209201030/https://data.cdc.gov/dataset/JMK_DHDS_POC/bst4-hnte>; rel=""memento""; datetime=""Sun, 09 Feb 2025 20:10:30 GMT""
","{'name': 'JMK_DHDS_POC', 'id': 'bst4-hnte', 'description': '', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/dataset/JMK_DHDS_POC/bst4-hnte'}"
Lack of Social Connection,mnaa-qctp,mnaa-qctp_1736721477.949045_Lack_of_Social_Connection_20250112.csv.gz,2025-01-12 22:37:57 UTC,https://data.cdc.gov/NCHS/Lack-of-Social-Connection/mnaa-qctp,"In 2020, the National Center for Health Statistics (NCHS) partnered with the Census Bureau on an experimental data system called the Household Pulse Survey. This survey was designed to complement the ability of the federal statistical system to rapidly respond and provide relevant information about how emergent issues are impacting American households. Beginning in Phase 4.0 (on January 9, 2024), questions on social support, loneliness, and social isolation were added to the survey. These questions have been included on other nationally representative surveys. Briefly, the question on social support was included on the National Health Interview Survey (NHIS) from July 2020-December 2021 and was added to the 2024 NHIS. The question on loneliness was added to the 2024 NHIS. The questions on social isolation are adapted from the Berkman-Syme Social Network Index and were included on an earlier cycle of the National Health and Nutrition Examination Survey. For more information, please visit: https://www.cdc.gov/nchs/covid19/pulse/lack-socialconnection.htm",,"{'name': 'Lack of Social Connection', 'id': 'mnaa-qctp', 'description': 'In 2020, the National Center for Health Statistics (NCHS) partnered with the Census Bureau on an experimental data system called the Household Pulse Survey. This survey was designed to complement the ability of the federal statistical system to rapidly respond and provide relevant information about how emergent issues are impacting American households. Beginning in Phase 4.0 (on January 9, 2024), questions on social support, loneliness, and social isolation were added to the survey. These questions have been included on other nationally representative surveys. Briefly, the question on social support was included on the National Health Interview Survey (NHIS) from July 2020-December 2021 and was added to the 2024 NHIS. The question on loneliness was added to the 2024 NHIS. The questions on social isolation are adapted from the Berkman-Syme Social Network Index and were included on an earlier cycle of the National Health and Nutrition Examination Survey. For more information, please visit: https://www.cdc.gov/nchs/covid19/pulse/lack-socialconnection.htm', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Lack-of-Social-Connection/mnaa-qctp'}"
Level of Acute Respiratory Illness (ARI) Activity by State,f3zz-zga5,f3zz-zga5_1736738535.835124_Level_of_Acute_Respiratory_Illness__ARI__Activity_by_State_20250113.csv.gz,2025-01-13 03:22:15 UTC,https://data.cdc.gov/Public-Health-Surveillance/Level-of-Acute-Respiratory-Illness-ARI-Activity-by/f3zz-zga5,"Respiratory illness activity is monitored using the acute respiratory illness (ARI) metric. ARI captures a broad range of diagnoses from emergency department visits for respiratory illnesses, from the common cold to severe infections like influenza, RSV and COVID-19. It captures illnesses that may not present with fever, offering a more complete picture than the previous influenza-like illness (ILI) metric.  

 Updated once per week on Fridays.",,"{'name': 'Level of Acute Respiratory Illness (ARI) Activity by State', 'id': 'f3zz-zga5', 'description': 'Respiratory illness activity is monitored using the acute respiratory illness (ARI) metric. ARI captures a broad range of diagnoses from emergency department visits for respiratory illnesses, from the common cold to severe infections like influenza, RSV and COVID-19. It captures illnesses that may not present with fever, offering a more complete picture than the previous influenza-like illness (ILI) metric.  \n\n Updated once per week on Fridays.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/Level-of-Acute-Respiratory-Illness-ARI-Activity-by/f3zz-zga5'}"
Long-term Care and COVID-19,3j26-kg6d,3j26-kg6d_1736722166.079453_Long-term_Care_and_COVID-19_20250112.csv.gz,2025-01-12 22:49:26 UTC,https://data.cdc.gov/NCHS/Long-term-Care-and-COVID-19/3j26-kg6d,"The NCHS National Post-acute and Long-term Care Study (NPALS) collects data on long-term care every two years for all 50 states and the District of Columbia to monitor the diverse post-acute and long-term care fields. The 2020 survey provided an opportunity to collect COVID-19-related data for residential care communities and adult day services centers, important long-term care settings. These data are not available from other data systems. These data are related to experiences of COVID-19 from January 2020 through mid-July 2021, including the number of COVID-19 cases, hospitalizations, and deaths among users and staff, practices taken to reduce COVID-19 exposure and transmission, and personal protective equipment (PPE) shortages.",,"{'name': 'Long-term Care and COVID-19', 'id': '3j26-kg6d', 'description': 'The NCHS National Post-acute and Long-term Care Study (NPALS) collects data on long-term care every two years for all 50 states and the District of Columbia to monitor the diverse post-acute and long-term care fields. The 2020 survey provided an opportunity to collect COVID-19-related data for residential care communities and adult day services centers, important long-term care settings. These data are not available from other data systems. These data are related to experiences of COVID-19 from January 2020 through mid-July 2021, including the number of COVID-19 cases, hospitalizations, and deaths among users and staff, practices taken to reduce COVID-19 exposure and transmission, and personal protective equipment (PPE) shortages.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Long-term-Care-and-COVID-19/3j26-kg6d'}"
Loss of Work Due to Illness from COVID-19,qgkx-mswu,qgkx-mswu_1736716817.684174_Loss_of_Work_Due_to_Illness_from_COVID-19_20250112.csv.gz,2025-01-12 21:20:17 UTC,https://data.cdc.gov/NCHS/Loss-of-Work-Due-to-Illness-from-COVID-19/qgkx-mswu,"The Research and Development Survey (RANDS) is a platform designed for conducting survey question evaluation and statistical research. RANDS is an ongoing series of surveys from probability-sampled commercial survey panels used for methodological research at the National Center for Health Statistics (NCHS). RANDS estimates are generated using an experimental approach that differs from the survey design approaches generally used by NCHS, including possible biases from different response patterns and sampling frames as well as increased variability from lower sample sizes. Use of the RANDS platform allows NCHS to produce more timely data than would be possible using traditional data collection methods. RANDS is not designed to replace NCHS’ higher quality, core data collections. Below are experimental estimates of loss of work due to illness with coronavirus for three rounds of RANDS during COVID-19. Data collection for the three rounds of RANDS during COVID-19 occurred between June 9, 2020 and July 6, 2020, August 3, 2020 and August 20, 2020, and May 17, 2021 and June 30, 2021. Information needed to interpret these estimates can be found in the Technical Notes. RANDS during COVID-19 included a question about the inability to work due to being sick or having a family member sick with COVID-19. The National Health Interview Survey, conducted by NCHS, is the source for high-quality data to monitor work-loss days and work limitations in the United States. For example, in 2018, 42.7% of adults aged 18 and over missed at least 1 day of work in the previous year due to illness or injury and 9.3% of adults aged 18 to 69 were limited in their ability to work or unable to work due to physical, mental, or emotional problems. The experimental estimates on this page are derived from RANDS during COVID-19 and show the percentage of U.S. adults who did not work for pay at a job or business, at any point, in the previous week because either they or someone in their family was sick with COVID-19. Technical Notes: https://www.cdc.gov/nchs/covid19/rands/work.htm#limitations",,"{'name': 'Loss of Work Due to Illness from COVID-19', 'id': 'qgkx-mswu', 'description': 'The Research and Development Survey (RANDS) is a platform designed for conducting survey question evaluation and statistical research. RANDS is an ongoing series of surveys from probability-sampled commercial survey panels used for methodological research at the National Center for Health Statistics (NCHS). RANDS estimates are generated using an experimental approach that differs from the survey design approaches generally used by NCHS, including possible biases from different response patterns and sampling frames as well as increased variability from lower sample sizes. Use of the RANDS platform allows NCHS to produce more timely data than would be possible using traditional data collection methods. RANDS is not designed to replace NCHS’ higher quality, core data collections. Below are experimental estimates of loss of work due to illness with coronavirus for three rounds of RANDS during COVID-19. Data collection for the three rounds of RANDS during COVID-19 occurred between June 9, 2020 and July 6, 2020, August 3, 2020 and August 20, 2020, and May 17, 2021 and June 30, 2021. Information needed to interpret these estimates can be found in the Technical Notes. RANDS during COVID-19 included a question about the inability to work due to being sick or having a family member sick with COVID-19. The National Health Interview Survey, conducted by NCHS, is the source for high-quality data to monitor work-loss days and work limitations in the United States. For example, in 2018, 42.7% of adults aged 18 and over missed at least 1 day of work in the previous year due to illness or injury and 9.3% of adults aged 18 to 69 were limited in their ability to work or unable to work due to physical, mental, or emotional problems. The experimental estimates on this page are derived from RANDS during COVID-19 and show the percentage of U.S. adults who did not work for pay at a job or business, at any point, in the previous week because either they or someone in their family was sick with COVID-19. Technical Notes: https://www.cdc.gov/nchs/covid19/rands/work.htm#limitations', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Loss-of-Work-Due-to-Illness-from-COVID-19/qgkx-mswu'}"
LymeDisease_9211_county,smai-7mz9,smai-7mz9_1736722622.463137_LymeDisease_9211_county_20250112.csv.gz,2025-01-12 22:57:02 UTC,https://data.cdc.gov/dataset/LymeDisease_9211_county/smai-7mz9,"To facilitate the public health and research community's access to NNDSS data on Lyme disease, CDC has developed a public use dataset. Based on reports submitted to CDC, this dataset provides the number of confirmed cases by county for the years 1992���2011, in four 5���year intervals. County tabulation is by American National Standard Institute (ANSI) [formerly Federal Information Processing Standard (FIPS)] codes. County codes of ""0"" represent ""unknown"" county of residence within each state. More recent county-level case counts are not publicly available at this time.",,"{'name': 'LymeDisease_9211_county', 'id': 'smai-7mz9', 'description': 'To facilitate the public health and research community\'s access to NNDSS data on Lyme disease, CDC has developed a public use dataset. Based on reports submitted to CDC, this dataset provides the number of confirmed cases by county for the years 1992���2011, in four 5���year intervals. County tabulation is by American National Standard Institute (ANSI) [formerly Federal Information Processing Standard (FIPS)] codes. County codes of ""0"" represent ""unknown"" county of residence within each state. More recent county-level case counts are not publicly available at this time.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/dataset/LymeDisease_9211_county/smai-7mz9'}"
"Measles Case and Genetic Metadata, Operation Allies Welcome",b8tp-jsmh,b8tp-jsmh_1736735573.167179_Measles_Case_and_Genetic_Metadata__Operation_Allies_Welcome_20250113.csv.gz,2025-01-13 02:32:53 UTC,https://data.cdc.gov/Models/Measles-Case-and-Genetic-Metadata-Operation-Allies/b8tp-jsmh,The table contains metadata variables used to execute compartmental and genetic modeling on measles cases investigated as a component of Operation Allies Welcome.,,"{'name': 'Measles Case and Genetic Metadata, Operation Allies Welcome', 'id': 'b8tp-jsmh', 'description': 'The table contains metadata variables used to execute compartmental and genetic modeling on measles cases investigated as a component of Operation Allies Welcome.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Models/Measles-Case-and-Genetic-Metadata-Operation-Allies/b8tp-jsmh'}"
Medicaid Coverage Of Cessation Treatments And Barriers To Treatments,ntaa-dtex,ntaa-dtex_1736711053.326324_Medicaid_Coverage_Of_Cessation_Treatments_And_Barriers_To_Treatments_20250112.csv.gz,2025-01-12 19:44:13 UTC,https://data.cdc.gov/Cessation-Coverage-/Medicaid-Coverage-Of-Cessation-Treatments-And-Barr/ntaa-dtex,"2008-2024. American Lung Association. Cessation Coverage.  Medicaid data compiled by the Centers for Disease Control and Prevention’s Office on Smoking and Health were obtained from the State Tobacco Cessation Coverage Database, developed and administered by the American Lung Association.  Data from 2008-2012 are reported on an annual basis; beginning in 2013 data are reported on a quarterly basis.  Data include state-level information on Medicaid coverage of approved medications by the Food and Drug Administration (FDA) for tobacco cessation treatment; types of counseling recommended by the Public Health Service (PHS) and barriers to accessing cessation treatment. Note: Section 2502 of the Patient Protection and Affordable Care Act requires all state Medicaid programs to cover all FDA-approved tobacco cessation medications as of January 1, 2014. However, states are currently in the process of modifying their coverage to come into compliance with this requirement. Data in the STATE System on Medicaid coverage of tobacco cessation medications reflect evidence of coverage that is found in documentable sources, and may not yet reflect medications covered under this requirement.","<https://data.cdc.gov/Cessation-Coverage-/Medicaid-Coverage-Of-Cessation-Treatments-And-Barr/ntaa-dtex>; rel=""original"",
<http://web.archive.org/web/timemap/link/https://data.cdc.gov/Cessation-Coverage-/Medicaid-Coverage-Of-Cessation-Treatments-And-Barr/ntaa-dtex>; rel=""self""; type=""application/link-format""; from=""Thu, 10 Aug 2023 10:03:24 GMT"",
<http://web.archive.org/web/https://data.cdc.gov/Cessation-Coverage-/Medicaid-Coverage-Of-Cessation-Treatments-And-Barr/ntaa-dtex>; rel=""timegate"",
<http://web.archive.org/web/20230810100324/https://data.cdc.gov/Cessation-Coverage-/Medicaid-Coverage-Of-Cessation-Treatments-And-Barr/ntaa-dtex>; rel=""first memento""; datetime=""Thu, 10 Aug 2023 10:03:24 GMT"",
<http://web.archive.org/web/20230810223036/https://data.cdc.gov/Cessation-Coverage-/Medicaid-Coverage-Of-Cessation-Treatments-And-Barr/ntaa-dtex>; rel=""memento""; datetime=""Thu, 10 Aug 2023 22:30:36 GMT"",
<http://web.archive.org/web/20231205124608/https://data.cdc.gov/Cessation-Coverage-/Medicaid-Coverage-Of-Cessation-Treatments-And-Barr/ntaa-dtex>; rel=""memento""; datetime=""Tue, 05 Dec 2023 12:46:08 GMT"",
<http://web.archive.org/web/20240521051328/https://data.cdc.gov/Cessation-Coverage-/Medicaid-Coverage-Of-Cessation-Treatments-And-Barr/ntaa-dtex>; rel=""memento""; datetime=""Tue, 21 May 2024 05:13:28 GMT"",
<http://web.archive.org/web/20240930104931/https://data.cdc.gov/Cessation-Coverage-/Medicaid-Coverage-Of-Cessation-Treatments-And-Barr/ntaa-dtex>; rel=""memento""; datetime=""Mon, 30 Sep 2024 10:49:31 GMT"",
<http://web.archive.org/web/20241128010411/https://data.cdc.gov/Cessation-Coverage-/Medicaid-Coverage-Of-Cessation-Treatments-And-Barr/ntaa-dtex>; rel=""memento""; datetime=""Thu, 28 Nov 2024 01:04:11 GMT"",
<http://web.archive.org/web/20241128134840/https://data.cdc.gov/Cessation-Coverage-/Medicaid-Coverage-Of-Cessation-Treatments-And-Barr/ntaa-dtex>; rel=""memento""; datetime=""Thu, 28 Nov 2024 13:48:40 GMT"",
<http://web.archive.org/web/20241201083758/https://data.cdc.gov/Cessation-Coverage-/Medicaid-Coverage-Of-Cessation-Treatments-And-Barr/ntaa-dtex>; rel=""memento""; datetime=""Sun, 01 Dec 2024 08:37:58 GMT"",
<http://web.archive.org/web/20241210154955/https://data.cdc.gov/Cessation-Coverage-/Medicaid-Coverage-Of-Cessation-Treatments-And-Barr/ntaa-dtex>; rel=""memento""; datetime=""Tue, 10 Dec 2024 15:49:55 GMT"",
<http://web.archive.org/web/20250119114955/https://data.cdc.gov/Cessation-Coverage-/Medicaid-Coverage-Of-Cessation-Treatments-And-Barr/ntaa-dtex>; rel=""memento""; datetime=""Sun, 19 Jan 2025 11:49:55 GMT"",
<http://web.archive.org/web/20250201011117/https://data.cdc.gov/Cessation-Coverage-/Medicaid-Coverage-Of-Cessation-Treatments-And-Barr/ntaa-dtex>; rel=""memento""; datetime=""Sat, 01 Feb 2025 01:11:17 GMT"",
<http://web.archive.org/web/20250201205227/https://data.cdc.gov/Cessation-Coverage-/Medicaid-Coverage-Of-Cessation-Treatments-And-Barr/ntaa-dtex>; rel=""memento""; datetime=""Sat, 01 Feb 2025 20:52:27 GMT"",
<http://web.archive.org/web/20250202021946/https://data.cdc.gov/Cessation-Coverage-/Medicaid-Coverage-Of-Cessation-Treatments-And-Barr/ntaa-dtex>; rel=""memento""; datetime=""Sun, 02 Feb 2025 02:19:46 GMT"",
<http://web.archive.org/web/20250202221632/https://data.cdc.gov/Cessation-Coverage-/Medicaid-Coverage-Of-Cessation-Treatments-And-Barr/ntaa-dtex>; rel=""memento""; datetime=""Sun, 02 Feb 2025 22:16:32 GMT"",
<http://web.archive.org/web/20250206060230/https://data.cdc.gov/Cessation-Coverage-/Medicaid-Coverage-Of-Cessation-Treatments-And-Barr/ntaa-dtex>; rel=""memento""; datetime=""Thu, 06 Feb 2025 06:02:30 GMT"",
<http://web.archive.org/web/20250209024917/https://data.cdc.gov/Cessation-Coverage-/Medicaid-Coverage-Of-Cessation-Treatments-And-Barr/ntaa-dtex/>; rel=""memento""; datetime=""Sun, 09 Feb 2025 02:49:17 GMT"",
<http://web.archive.org/web/20250209024937/https://data.cdc.gov/Cessation-Coverage-/Medicaid-Coverage-Of-Cessation-Treatments-And-Barr/ntaa-dtex>; rel=""memento""; datetime=""Sun, 09 Feb 2025 02:49:37 GMT"",
<http://web.archive.org/web/20250209024941/https://data.cdc.gov/Cessation-Coverage-/Medicaid-Coverage-Of-Cessation-Treatments-And-Barr/ntaa-dtex>; rel=""memento""; datetime=""Sun, 09 Feb 2025 02:49:41 GMT"",
<http://web.archive.org/web/20250209184648/https://data.cdc.gov/Cessation-Coverage-/Medicaid-Coverage-Of-Cessation-Treatments-And-Barr/ntaa-dtex>; rel=""memento""; datetime=""Sun, 09 Feb 2025 18:46:48 GMT""
","{'name': 'Medicaid Coverage Of Cessation Treatments And Barriers To Treatments', 'id': 'ntaa-dtex', 'description': '2008-2024. American Lung Association. Cessation Coverage.  Medicaid data compiled by the Centers for Disease Control and Prevention’s Office on Smoking and Health were obtained from the State Tobacco Cessation Coverage Database, developed and administered by the American Lung Association.  Data from 2008-2012 are reported on an annual basis; beginning in 2013 data are reported on a quarterly basis.  Data include state-level information on Medicaid coverage of approved medications by the Food and Drug Administration (FDA) for tobacco cessation treatment; types of counseling recommended by the Public Health Service (PHS) and barriers to accessing cessation treatment. Note: Section 2502 of the Patient Protection and Affordable Care Act requires all state Medicaid programs to cover all FDA-approved tobacco cessation medications as of January 1, 2014. However, states are currently in the process of modifying their coverage to come into compliance with this requirement. Data in the STATE System on Medicaid coverage of tobacco cessation medications reflect evidence of coverage that is found in documentable sources, and may not yet reflect medications covered under this requirement.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Cessation-Coverage-/Medicaid-Coverage-Of-Cessation-Treatments-And-Barr/ntaa-dtex'}"
"Medicaid coverage among persons under age 65, by selected characteristics: United States",km5s-4339,km5s-4339_1736730510.781057_Medicaid_coverage_among_persons_under_age_65__by_selected_characteristics__United_States_20250113.csv.gz,2025-01-13 01:08:30 UTC,https://data.cdc.gov/NCHS/Medicaid-coverage-among-persons-under-age-65-by-se/km5s-4339,"Data on Medicaid coverage among persons under age 65 by selected population characteristics. Please refer to the PDF or Excel version of this table in the HUS 2019 Data Finder (https://www.cdc.gov/nchs/hus/contents2019.htm) for critical information about measures, definitions, and changes over time. 

SOURCE: NCHS, National Health Interview Survey, health insurance supplements (1984, 1989, 1994-1996). Starting with 1997, data are from the family core and the sample adult questionnaires. Data for level of difficulty are from the 2010 Quality of Life, 2011-2017 Functioning and Disability, and 2018 Sample Adult questionnaires. For more information on the National Health Interview Survey, see the corresponding Appendix entry at https://www.cdc.gov/nchs/data/hus/hus19-appendix-508.pdf.",,"{'name': 'Medicaid coverage among persons under age 65, by selected characteristics: United States', 'id': 'km5s-4339', 'description': 'Data on Medicaid coverage among persons under age 65 by selected population characteristics. Please refer to the PDF or Excel version of this table in the HUS 2019 Data Finder (https://www.cdc.gov/nchs/hus/contents2019.htm) for critical information about measures, definitions, and changes over time. \n\nSOURCE: NCHS, National Health Interview Survey, health insurance supplements (1984, 1989, 1994-1996). Starting with 1997, data are from the family core and the sample adult questionnaires. Data for level of difficulty are from the 2010 Quality of Life, 2011-2017 Functioning and Disability, and 2018 Sample Adult questionnaires. For more information on the National Health Interview Survey, see the corresponding Appendix entry at https://www.cdc.gov/nchs/data/hus/hus19-appendix-508.pdf.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Medicaid-coverage-among-persons-under-age-65-by-se/km5s-4339'}"
Mental Health Care in the Last 4 Weeks,yni7-er2q,yni7-er2q_1736711481.321853_Mental_Health_Care_in_the_Last_4_Weeks_20250112.csv.gz,2025-01-12 19:51:21 UTC,https://data.cdc.gov/NCHS/Mental-Health-Care-in-the-Last-4-Weeks/yni7-er2q,"The U.S. Census Bureau, in collaboration with five federal agencies, launched the Household Pulse Survey to produce data on the social and economic impacts of Covid-19 on American households.  The Household Pulse Survey was designed to gauge the impact of the pandemic on employment status, consumer spending, food security, housing, education disruptions, and dimensions of physical and mental wellness.

The survey was designed to meet the goal of accurate and timely weekly estimates. It was conducted by an internet questionnaire, with invitations to participate sent by email and text message. The sample frame is the Census Bureau Master Address File Data. Housing units linked to one or more email addresses or cell phone numbers were randomly selected to participate, and one respondent from each housing unit was selected to respond for him or herself. Estimates are weighted to adjust for nonresponse and to match Census Bureau estimates of the population by age, gender, race and ethnicity, and educational attainment. All estimates shown meet the NCHS Data Presentation Standards for Proportions.",,"{'name': 'Mental Health Care in the Last 4 Weeks', 'id': 'yni7-er2q', 'description': 'The U.S. Census Bureau, in collaboration with five federal agencies, launched the Household Pulse Survey to produce data on the social and economic impacts of Covid-19 on American households.  The Household Pulse Survey was designed to gauge the impact of the pandemic on employment status, consumer spending, food security, housing, education disruptions, and dimensions of physical and mental wellness.\n\nThe survey was designed to meet the goal of accurate and timely weekly estimates. It was conducted by an internet questionnaire, with invitations to participate sent by email and text message. The sample frame is the Census Bureau Master Address File Data. Housing units linked to one or more email addresses or cell phone numbers were randomly selected to participate, and one respondent from each housing unit was selected to respond for him or herself. Estimates are weighted to adjust for nonresponse and to match Census Bureau estimates of the population by age, gender, race and ethnicity, and educational attainment. All estimates shown meet the NCHS Data Presentation Standards for Proportions.', 'datatype': 'tabular', 'keywords': ['demographics', 'health', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Mental-Health-Care-in-the-Last-4-Weeks/yni7-er2q'}"
Mental Health-Related Disparities in Cigarette Smoking Among Adults,i7ir-z69g,i7ir-z69g_1736737663.273080_Mental_Health-Related_Disparities_in_Cigarette_Smoking_Among_Adults_20250113.csv.gz,2025-01-13 03:07:43 UTC,https://data.cdc.gov/Survey-Data/Mental-Health-Related-Disparities-in-Cigarette-Smo/i7ir-z69g,"2011–2023. The tobacco disparities dashboard data utilized the Behavioral Risk Factor Surveillance System (BRFSS) data to measure cigarette smoking disparities by mental health. The disparity value is the relative difference in the cigarette smoking prevalence among adults 18 and older in a focus group divided by the cigarette smoking prevalence among adults 18 and older in a reference group. A disparity value above 1 indicates that adults in the focus group smoke cigarettes at a higher rate, as reflected by the disparity value, compared with the rate among adults in the reference group who smoke cigarettes. A disparity value below 1 indicates that adults in the focus group smoke cigarettes at a lower rate, as reflected by the disparity value, compared with the rate among adults in the reference group who smoke cigarettes. A disparity value of 1 means there is no relative difference in the rate of adults who smoke cigarettes for the two groups compared.",,"{'name': 'Mental Health-Related Disparities in Cigarette Smoking Among Adults', 'id': 'i7ir-z69g', 'description': '2011–2023. The tobacco disparities dashboard data utilized the Behavioral Risk Factor Surveillance System (BRFSS) data to measure cigarette smoking disparities by mental health. The disparity value is the relative difference in the cigarette smoking prevalence among adults 18 and older in a focus group divided by the cigarette smoking prevalence among adults 18 and older in a reference group. A disparity value above 1 indicates that adults in the focus group smoke cigarettes at a higher rate, as reflected by the disparity value, compared with the rate among adults in the reference group who smoke cigarettes. A disparity value below 1 indicates that adults in the focus group smoke cigarettes at a lower rate, as reflected by the disparity value, compared with the rate among adults in the reference group who smoke cigarettes. A disparity value of 1 means there is no relative difference in the rate of adults who smoke cigarettes for the two groups compared.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Survey-Data/Mental-Health-Related-Disparities-in-Cigarette-Smo/i7ir-z69g'}"
"Monthly COVID-19 Death Rates per 100,000 Population by Age Group, Race and Ethnicity, Sex, and Region",89qs-mr7i,89qs-mr7i_1736721011.434287_Monthly_COVID-19_Death_Rates_per_100_000_Population_by_Age_Group__Race_and_Ethnicity__Sex__and_Region_20250112.csv.gz,2025-01-12 22:30:11 UTC,https://data.cdc.gov/Public-Health-Surveillance/Monthly-COVID-19-Death-Rates-per-100-000-Populatio/89qs-mr7i,"Monthly COVID-19 death rates per 100,000 population stratified by age group, race/ethnicity, sex, and region",,"{'name': 'Monthly COVID-19 Death Rates per 100,000 Population by Age Group, Race and Ethnicity, Sex, and Region', 'id': '89qs-mr7i', 'description': 'Monthly COVID-19 death rates per 100,000 population stratified by age group, race/ethnicity, sex, and region', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/Monthly-COVID-19-Death-Rates-per-100-000-Populatio/89qs-mr7i'}"
"Monthly COVID-19 Death Rates per 100,000 Population by Age Group, Race and Ethnicity, Sex, and Region with Double Stratification",exs3-hbne,exs3-hbne_1736715876.955161_Monthly_COVID-19_Death_Rates_per_100_000_Population_by_Age_Group__Race_and_Ethnicity__Sex__and_Region_with_Double_Stratification_20250112.csv.gz,2025-01-12 21:04:36 UTC,https://data.cdc.gov/Public-Health-Surveillance/Monthly-COVID-19-Death-Rates-per-100-000-Populatio/exs3-hbne,"Monthly COVID-19 death rates per 100,000 population stratified by age group, race/ethnicity, sex, and region, with race/ethnicity by age group and age group by race/ethnicity double stratification",,"{'name': 'Monthly COVID-19 Death Rates per 100,000 Population by Age Group, Race and Ethnicity, Sex, and Region with Double Stratification', 'id': 'exs3-hbne', 'description': 'Monthly COVID-19 death rates per 100,000 population stratified by age group, race/ethnicity, sex, and region, with race/ethnicity by age group and age group by race/ethnicity double stratification', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/Monthly-COVID-19-Death-Rates-per-100-000-Populatio/exs3-hbne'}"
"Monthly Counts of Deaths by Select Causes, 2014-2019",bxq8-mugm,bxq8-mugm_1736710769.419506_Monthly_Counts_of_Deaths_by_Select_Causes__2014-2019_20250112.csv.gz,2025-01-12 19:39:29 UTC,https://data.cdc.gov/NCHS/Monthly-Counts-of-Deaths-by-Select-Causes-2014-201/bxq8-mugm,Final counts of deaths by the month the deaths occurred and by select causes of death for 2014-2019.,,"{'name': 'Monthly Counts of Deaths by Select Causes, 2014-2019', 'id': 'bxq8-mugm', 'description': 'Final counts of deaths by the month the deaths occurred and by select causes of death for 2014-2019.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Monthly-Counts-of-Deaths-by-Select-Causes-2014-201/bxq8-mugm'}"
"Monthly Cumulative Number and Percent of Adults 60 Years and Older Who Received at least one RSV Vaccination Doses by Jurisdiction, United States",scrf-8d7w,scrf-8d7w_1736735681.706806_Monthly_Cumulative_Number_and_Percent_of_Adults_60_Years_and_Older_Who_Received_at_least_one_RSV_Vaccination_Doses_by_Jurisdiction__United_States_20250113.csv.gz,2025-01-13 02:34:41 UTC,https://data.cdc.gov/Vaccinations/Monthly-Cumulative-Number-and-Percent-of-Adults-60/scrf-8d7w,"Monthly Cumulative Number and Percent of Adults 60 Years and Older Who Received at least one RSV Vaccination Doses by Jurisdiction

• Estimated Respiratory Syncytial Virus (RSV) vaccination coverage for adults is assessed through U.S. jurisdictions’ Immunization Information Systems (IIS) data, submitted from jurisdictions to CDC monthly in aggregate by age group.

 • Starting in July 2023, the CDC recommended the RSV vaccine to protect against serious illness from RSV. (https://www.cdc.gov/respiratory-viruses/whats-new/rsv-update-2023-09-22.html)
 ",,"{'name': 'Monthly Cumulative Number and Percent of Adults 60 Years and Older Who Received at least one RSV Vaccination Doses by Jurisdiction, United States', 'id': 'scrf-8d7w', 'description': 'Monthly Cumulative Number and Percent of Adults 60 Years and Older Who Received at least one RSV Vaccination Doses by Jurisdiction\n\n• Estimated Respiratory Syncytial Virus (RSV) vaccination coverage for adults is assessed through U.S. jurisdictions’ Immunization Information Systems (IIS) data, submitted from jurisdictions to CDC monthly in aggregate by age group.\n\n • Starting in July 2023, the CDC recommended the RSV vaccine to protect against serious illness from RSV. (https://www.cdc.gov/respiratory-viruses/whats-new/rsv-update-2023-09-22.html)\n\u2003', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/Monthly-Cumulative-Number-and-Percent-of-Adults-60/scrf-8d7w'}"
"Monthly Cumulative Number and Percent of Children <20 Months Who Received Nirsevimab by Age Group and Jurisdiction, United States",ku7p-zn4c,ku7p-zn4c_1736732827.469743_Monthly_Cumulative_Number_and_Percent_of_Children__20_Months_Who_Received_Nirsevimab_by_Age_Group_and_Jurisdiction__United_States_20250113.csv.gz,2025-01-13 01:47:07 UTC,https://data.cdc.gov/Vaccinations/Monthly-Cumulative-Number-and-Percent-of-Children-/ku7p-zn4c,"Monthly Cumulative Number and Percent of Children <20 Months Who Received Nirsevimab by Age Group and Jurisdiction

• Estimated nirsevimab coverage for children 0-19 months is assessed through U.S. jurisdictions’ Immunization Information Systems (IIS) data, submitted from jurisdictions to CDC monthly in aggregate by age group. 

• Starting in July 2023, the CDC recommended the RSV vaccine to protect against serious illness from RSV. (https://www.cdc.gov/respiratory-viruses/whats-new/rsv-update-2023-09-22.html)
 ",,"{'name': 'Monthly Cumulative Number and Percent of Children <20 Months Who Received Nirsevimab by Age Group and Jurisdiction, United States', 'id': 'ku7p-zn4c', 'description': 'Monthly Cumulative Number and Percent of Children <20 Months Who Received Nirsevimab by Age Group and Jurisdiction\n\n• Estimated nirsevimab coverage for children 0-19 months is assessed through U.S. jurisdictions’ Immunization Information Systems (IIS) data, submitted from jurisdictions to CDC monthly in aggregate by age group. \n\n• Starting in July 2023, the CDC recommended the RSV vaccine to protect against serious illness from RSV. (https://www.cdc.gov/respiratory-viruses/whats-new/rsv-update-2023-09-22.html)\n\u2003', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/Monthly-Cumulative-Number-and-Percent-of-Children-/ku7p-zn4c'}"
"Monthly Cumulative Number and Percent of Persons Children 6 Months–17 Years Who Received ≥1 Influenza Vaccination Doses, by Influenza Season, Age Group, and Jurisdiction, United States",ivdz-qhnr,ivdz-qhnr_1736738225.201597_Monthly_Cumulative_Number_and_Percent_of_Persons_Children_6_Months_17_Years_Who_Received__1_Influenza_Vaccination_Doses__by_Influenza_Season__Age_Group__and_Jurisdiction__United_States_20250113.csv.gz,2025-01-13 03:17:05 UTC,https://data.cdc.gov/Flu-Vaccinations/Monthly-Cumulative-Number-and-Percent-of-Persons-C/ivdz-qhnr,"•	Monthly Cumulative Percent of Persons Who Received ≥1 Influenza Vaccination Doses, by Influenza Season, Age Group and Jurisdiction.

•	Influenza (flu) vaccination coverage for children and adults is assessed through U.S. jurisdictions’ Immunization Information Systems Resources (IIS) data, submitted from jurisdictions to CDC monthly, in aggregate, by age group (https://www.cdc.gov/iis/about/).",,"{'name': 'Monthly Cumulative Number and Percent of Persons Children 6 Months–17 Years Who Received ≥1 Influenza Vaccination Doses, by Influenza Season, Age Group, and Jurisdiction, United States', 'id': 'ivdz-qhnr', 'description': '•\tMonthly Cumulative Percent of Persons Who Received ≥1 Influenza Vaccination Doses, by Influenza Season, Age Group and Jurisdiction.\n\n•\tInfluenza (flu) vaccination coverage for children and adults is assessed through U.S. jurisdictions’ Immunization Information Systems Resources (IIS) data, submitted from jurisdictions to CDC monthly, in aggregate, by age group (https://www.cdc.gov/iis/about/).', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Flu-Vaccinations/Monthly-Cumulative-Number-and-Percent-of-Persons-C/ivdz-qhnr'}"
"Monthly Cumulative Number and Percent of Persons Who Receive ≥1 Influenza Vaccination Doses and Comparison Between 2023-2024 and Two Previous Seasons, by Jurisdiction, United States",g2ck-geg5,g2ck-geg5_1736735443.138349_Monthly_Cumulative_Number_and_Percent_of_Persons_Who_Receive__1_Influenza_Vaccination_Doses_and_Comparison_Between_2023-2024_and_Two_Previous_Seasons__by_Jurisdiction__United_States_20250113.csv.gz,2025-01-13 02:30:43 UTC,https://data.cdc.gov/Flu-Vaccinations/Monthly-Cumulative-Number-and-Percent-of-Persons-W/g2ck-geg5,"Monthly Cumulative Number and Percent of Persons Who Receive ≥1 Influenza Vaccination Doses and Comparison Between 2023-2024 and Two Previous Seasons, by Jurisdiction, United States

• Influenza vaccination coverage for children and adults is assessed through U.S. jurisdictions’ Immunization Information Systems (IIS) data, submitted from jurisdictions to CDC monthly in aggregate by age group. More information about the IIS can be found at https://www.cdc.gov/vaccines/programs/iis/about.html. 

• Influenza vaccination coverage estimate numerators include the number of people receiving at least one dose of influenza vaccine in a given flu season, based on information that state, territorial, and local public health agencies report to CDC. Some jurisdictions’ data may include data submitted by tribes. Estimates include persons who are deceased but received a vaccination during the current season. People receiving doses are attributed to the jurisdiction in which the person resides unless noted otherwise. Quality and completeness of data may vary across jurisdictions. Influenza vaccination coverage denominators are obtained from 2020 U.S. Census Bureau population estimates. 

• Monthly estimates shown are cumulative, reflecting all persons vaccinated from July through a given month of that flu season. Cumulative estimates include any historical data reported since the previous submission. National estimates are not presented since not all U.S. jurisdictions are currently reporting their IIS data to CDC. Jurisdictions reporting data to CDC include U.S. states, some localities, and territories. 

• Because IIS data contain all vaccinations administered within a jurisdiction rather than a sample, standard errors were not calculated and statistical testing for differences in estimates across years were not performed. 

• Laws and policies regarding the submission of vaccination data to an IIS vary by state, which may impact the completeness of vaccination coverage reflected for a jurisdiction. More information on laws and policies are found at https://www.cdc.gov/vaccines/programs/iis/policy-legislation.html. 

• Coverage estimates based on IIS data are expected to differ from National Immunization Survey (NIS) estimates for children (https://www.cdc.gov/flu/fluvaxview/dashboard/vaccination-coverage-race.html)                 
and adults (https://www.cdc.gov/flu/fluvaxview/dashboard/vaccination-adult-coverage.html) because NIS estimates are based on a sample that may not be representative after survey weighting and vaccination status is determined by survey respondent rather than vaccine records or administrations, and quality and completeness of IIS data may vary across jurisdictions. In general, NIS estimates tend to overestimate coverage due to overreporting and IIS estimates may underestimate coverage due to incompleteness of data in certain jurisdictions.",,"{'name': 'Monthly Cumulative Number and Percent of Persons Who Receive ≥1 Influenza Vaccination Doses and Comparison Between 2023-2024 and Two Previous Seasons, by Jurisdiction, United States', 'id': 'g2ck-geg5', 'description': 'Monthly Cumulative Number and Percent of Persons Who Receive ≥1 Influenza Vaccination Doses and Comparison Between 2023-2024 and Two Previous Seasons, by Jurisdiction, United States\n\n• Influenza vaccination coverage for children and adults is assessed through U.S. jurisdictions’ Immunization Information Systems (IIS) data, submitted from jurisdictions to CDC monthly in aggregate by age group. More information about the IIS can be found at https://www.cdc.gov/vaccines/programs/iis/about.html. \n\n• Influenza vaccination coverage estimate numerators include the number of people receiving at least one dose of influenza vaccine in a given flu season, based on information that state, territorial, and local public health agencies report to CDC. Some jurisdictions’ data may include data submitted by tribes. Estimates include persons who are deceased but received a vaccination during the current season. People receiving doses are attributed to the jurisdiction in which the person resides unless noted otherwise. Quality and completeness of data may vary across jurisdictions. Influenza vaccination coverage denominators are obtained from 2020 U.S. Census Bureau population estimates. \n\n• Monthly estimates shown are cumulative, reflecting all persons vaccinated from July through a given month of that flu season. Cumulative estimates include any historical data reported since the previous submission. National estimates are not presented since not all U.S. jurisdictions are currently reporting their IIS data to CDC. Jurisdictions reporting data to CDC include U.S. states, some localities, and territories. \n\n• Because IIS data contain all vaccinations administered within a jurisdiction rather than a sample, standard errors were not calculated and statistical testing for differences in estimates across years were not performed. \n\n• Laws and policies regarding the submission of vaccination data to an IIS vary by state, which may impact the completeness of vaccination coverage reflected for a jurisdiction. More information on laws and policies are found at https://www.cdc.gov/vaccines/programs/iis/policy-legislation.html. \n\n• Coverage estimates based on IIS data are expected to differ from National Immunization Survey (NIS) estimates for children (https://www.cdc.gov/flu/fluvaxview/dashboard/vaccination-coverage-race.html)                 \nand adults (https://www.cdc.gov/flu/fluvaxview/dashboard/vaccination-adult-coverage.html) because NIS estimates are based on a sample that may not be representative after survey weighting and vaccination status is determined by survey respondent rather than vaccine records or administrations, and quality and completeness of IIS data may vary across jurisdictions. In general, NIS estimates tend to overestimate coverage due to overreporting and IIS estimates may underestimate coverage due to incompleteness of data in certain jurisdictions.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Flu-Vaccinations/Monthly-Cumulative-Number-and-Percent-of-Persons-W/g2ck-geg5'}"
"Monthly Cumulative Number and Percent of Persons Who Received 1+ 2024-25 COVID-19 Vaccination Doses and Comparison between 2024-25 and 2023-24 Seasons, by Age Group and Jurisdiction, United States",q84f-e68r,q84f-e68r_1736739220.705132_Monthly_Cumulative_Number_and_Percent_of_Persons_Who_Received_1__2024-25_COVID-19_Vaccination_Doses_and_Comparison_between_2024-25_and_2023-24_Seasons__by_Age_Group_and_Jurisdiction__United_States_20250113.csv.gz,2025-01-13 03:33:40 UTC,https://data.cdc.gov/Vaccinations/Monthly-Cumulative-Number-and-Percent-of-Persons-W/q84f-e68r,"• Monthly Cumulative Percent of Persons Who Received 1+ 2024-25 COVID-19 Vaccination Doses and Comparison between 2024─25 and 2023─24 Seasons, by Age Group and Jurisdiction, by Age Group and Jurisdiction

• COVID-19 vaccination coverage for children and adults is assessed through U.S. jurisdictions’ Immunization Information Systems Resources (IIS) data, submitted from jurisdictions to CDC monthly in aggregate by age group (https://www.cdc.gov/iis/about/)",,"{'name': 'Monthly Cumulative Number and Percent of Persons Who Received 1+ 2024-25 COVID-19 Vaccination Doses and Comparison between 2024-25 and 2023-24 Seasons, by Age Group and Jurisdiction, United States', 'id': 'q84f-e68r', 'description': '• Monthly Cumulative Percent of Persons Who Received 1+ 2024-25 COVID-19 Vaccination Doses and Comparison between 2024─25 and 2023─24 Seasons, by Age Group and Jurisdiction, by Age Group and Jurisdiction\n\n• COVID-19 vaccination coverage for children and adults is assessed through U.S. jurisdictions’ Immunization Information Systems Resources (IIS) data, submitted from jurisdictions to CDC monthly in aggregate by age group (https://www.cdc.gov/iis/about/)', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/Monthly-Cumulative-Number-and-Percent-of-Persons-W/q84f-e68r'}"
"Monthly Cumulative Number and Percent of Persons Who Received 1+ 2024-25 COVID-19 Vaccination Doses, by Age Group, and Jurisdiction, United States",3bmy-cyyd,3bmy-cyyd_1736738939.032662_Monthly_Cumulative_Number_and_Percent_of_Persons_Who_Received_1__2024-25_COVID-19_Vaccination_Doses__by_Age_Group__and_Jurisdiction__United_States_20250113.csv.gz,2025-01-13 03:28:59 UTC,https://data.cdc.gov/Vaccinations/Monthly-Cumulative-Number-and-Percent-of-Persons-W/3bmy-cyyd,"• Monthly Cumulative Percent of Persons Who Received 1+ 2024-25 COVID-19 Vaccination Doses, by Age Group and Jurisdiction 

• COVID-19 vaccination coverage for children and adults is assessed through U.S. jurisdictions’ Immunization Information Systems Resources (IIS) data, submitted from jurisdictions to CDC monthly in aggregate by age group (https://www.cdc.gov/iis/about/).",,"{'name': 'Monthly Cumulative Number and Percent of Persons Who Received 1+ 2024-25 COVID-19 Vaccination Doses, by Age Group, and Jurisdiction, United States', 'id': '3bmy-cyyd', 'description': '• Monthly Cumulative Percent of Persons Who Received 1+ 2024-25 COVID-19 Vaccination Doses, by Age Group and Jurisdiction \n\n• COVID-19 vaccination coverage for children and adults is assessed through U.S. jurisdictions’ Immunization Information Systems Resources (IIS) data, submitted from jurisdictions to CDC monthly in aggregate by age group (https://www.cdc.gov/iis/about/).', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/Monthly-Cumulative-Number-and-Percent-of-Persons-W/3bmy-cyyd'}"
"Monthly Cumulative Number and Percent of Persons Who Received 1+ updated 2023-24 COVID-19 Vaccination Doses by Age Group and Jurisdiction, United States",vugp-mqip,vugp-mqip_1736729132.407498_Monthly_Cumulative_Number_and_Percent_of_Persons_Who_Received_1__updated_2023-24_COVID-19_Vaccination_Doses_by_Age_Group_and_Jurisdiction__United_States_20250113.csv.gz,2025-01-13 00:45:32 UTC,https://data.cdc.gov/Vaccinations/Monthly-Cumulative-Number-and-Percent-of-Persons-W/vugp-mqip,"Monthly Cumulative Percent of Persons Who Received 1+ updated 2023-24 COVID-19 Vaccination Doses by Age Group and Jurisdiction

• Estimated Number of COVID-19 vaccinations among children 6 months–17 years and adults is assessed through U.S. jurisdictions’ Immunization Information Systems (IIS) data, submitted from jurisdictions to CDC monthly in aggregate by age group.

 • Starting in September 2023, the CDC recommended the 2023-2024 updated COVID-19 vaccine to protect against serious illness from COVID-19. (https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html)
 ",,"{'name': 'Monthly Cumulative Number and Percent of Persons Who Received 1+ updated 2023-24 COVID-19 Vaccination Doses by Age Group and Jurisdiction, United States', 'id': 'vugp-mqip', 'description': 'Monthly Cumulative Percent of Persons Who Received 1+ updated 2023-24 COVID-19 Vaccination Doses by Age Group and Jurisdiction\n\n• Estimated Number of COVID-19 vaccinations among children 6 months–17 years and adults is assessed through U.S. jurisdictions’ Immunization Information Systems (IIS) data, submitted from jurisdictions to CDC monthly in aggregate by age group.\n\n • Starting in September 2023, the CDC recommended the 2023-2024 updated COVID-19 vaccine to protect against serious illness from COVID-19. (https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html)\n\u2003', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/Monthly-Cumulative-Number-and-Percent-of-Persons-W/vugp-mqip'}"
"Monthly Cumulative Number and Percent of Persons Who Received 1+ updated 2023-24 COVID-19 Vaccination Doses by Age Group and Jurisdiction, United States",wtw5-4wi3,wtw5-4wi3_1736735695.350138_Monthly_Cumulative_Number_and_Percent_of_Persons_Who_Received_1__updated_2023-24_COVID-19_Vaccination_Doses_by_Age_Group_and_Jurisdiction__United_States_20250113.csv.gz,2025-01-13 02:34:55 UTC,https://data.cdc.gov/Vaccinations/Monthly-Cumulative-Number-and-Percent-of-Persons-W/wtw5-4wi3,"Monthly Cumulative Percent of Persons Who Received 1+ updated 2023-24 COVID-19 Vaccination Doses by Age Group and Jurisdiction

• Estimated Number of COVID-19 vaccinations among children 6 months–17 years and adults is assessed through U.S. jurisdictions’ Immunization Information Systems (IIS) data, submitted from jurisdictions to CDC monthly in aggregate by age group.

• Starting in September 2023, the CDC recommended the 2023-2024 updated COVID-19 vaccine to protect against serious illness from COVID-19. (https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html)",,"{'name': 'Monthly Cumulative Number and Percent of Persons Who Received 1+ updated 2023-24 COVID-19 Vaccination Doses by Age Group and Jurisdiction, United States', 'id': 'wtw5-4wi3', 'description': 'Monthly Cumulative Percent of Persons Who Received 1+ updated 2023-24 COVID-19 Vaccination Doses by Age Group and Jurisdiction\n\n• Estimated Number of COVID-19 vaccinations among children 6 months–17 years and adults is assessed through U.S. jurisdictions’ Immunization Information Systems (IIS) data, submitted from jurisdictions to CDC monthly in aggregate by age group.\n\n• Starting in September 2023, the CDC recommended the 2023-2024 updated COVID-19 vaccine to protect against serious illness from COVID-19. (https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html)', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/Monthly-Cumulative-Number-and-Percent-of-Persons-W/wtw5-4wi3'}"
"Monthly Cumulative Number and Percent of Persons Who Received ≥1 Influenza Vaccination Doses, by Flu Season, Age Group, and Jurisdiction",udwr-3en6,udwr-3en6_1736733964.678566_Monthly_Cumulative_Number_and_Percent_of_Persons_Who_Received__1_Influenza_Vaccination_Doses__by_Flu_Season__Age_Group__and_Jurisdiction_20250113.csv.gz,2025-01-13 02:06:04 UTC,https://data.cdc.gov/Flu-Vaccinations/Monthly-Cumulative-Number-and-Percent-of-Persons-W/udwr-3en6,"Monthly Cumulative Number and Percent of Persons Who Received ≥1 Influenza Vaccination Doses, by Flu Season, Age Group, and Jurisdiction

• Influenza vaccination coverage for children and adults is assessed through U.S. jurisdictions’ Immunization Information Systems (IIS) data, submitted from jurisdictions to CDC monthly in aggregate by age group. More information about the IIS can be found at https://www.cdc.gov/vaccines/programs/iis/about.html.

• Influenza vaccination coverage estimate numerators include the number of people receiving at least one dose of influenza vaccine in a given flu season, based on information that state, territorial, and local public health agencies report to CDC. Some jurisdictions’ data may include data submitted by tribes. Estimates include persons who are deceased but received a vaccination during the current season. People receiving doses are attributed to the jurisdiction in which the person resides unless noted otherwise. Quality and completeness of data may vary across jurisdictions. Influenza vaccination coverage denominators are obtained from 2020 U.S. Census Bureau population estimates.

• Monthly estimates shown are cumulative, reflecting all persons vaccinated from July through a given month of that flu season. Cumulative estimates include any historical data reported since the previous submission. National estimates are not presented since not all U.S. jurisdictions are currently reporting their IIS data to CDC. Jurisdictions reporting data to CDC include U.S. states, some localities, and territories.

• Because IIS data contain all vaccinations administered within a jurisdiction rather than a sample, standard errors were not calculated and statistical testing for differences in estimates across years were not performed.

• Laws and policies regarding the submission of vaccination data to an IIS vary by state, which may impact the completeness of vaccination coverage reflected for a jurisdiction. More information on laws and policies are found at https://www.cdc.gov/vaccines/programs/iis/policy-legislation.html.

• Coverage estimates based on IIS data are expected to differ from National Immunization Survey (NIS) estimates for children (https://www.cdc.gov/flu/fluvaxview/dashboard/vaccination-coverage-race.html)
and adults (https://www.cdc.gov/flu/fluvaxview/dashboard/vaccination-adult-coverage.html) because NIS estimates are based on a sample that may not be representative after survey weighting and vaccination status is determined by survey respondent rather than vaccine records or administrations, and quality and completeness of IIS data may vary across jurisdictions. In general, NIS estimates tend to overestimate coverage due to overreporting and IIS estimates may underestimate coverage due to incompleteness of data in certain jurisdictions.",,"{'name': 'Monthly Cumulative Number and Percent of Persons Who Received ≥1 Influenza Vaccination Doses, by Flu Season, Age Group, and Jurisdiction', 'id': 'udwr-3en6', 'description': 'Monthly Cumulative Number and Percent of Persons Who Received ≥1 Influenza Vaccination Doses, by Flu Season, Age Group, and Jurisdiction\n\n• Influenza vaccination coverage for children and adults is assessed through U.S. jurisdictions’ Immunization Information Systems (IIS) data, submitted from jurisdictions to CDC monthly in aggregate by age group. More information about the IIS can be found at https://www.cdc.gov/vaccines/programs/iis/about.html.\n\n• Influenza vaccination coverage estimate numerators include the number of people receiving at least one dose of influenza vaccine in a given flu season, based on information that state, territorial, and local public health agencies report to CDC. Some jurisdictions’ data may include data submitted by tribes. Estimates include persons who are deceased but received a vaccination during the current season. People receiving doses are attributed to the jurisdiction in which the person resides unless noted otherwise. Quality and completeness of data may vary across jurisdictions. Influenza vaccination coverage denominators are obtained from 2020 U.S. Census Bureau population estimates.\n\n• Monthly estimates shown are cumulative, reflecting all persons vaccinated from July through a given month of that flu season. Cumulative estimates include any historical data reported since the previous submission. National estimates are not presented since not all U.S. jurisdictions are currently reporting their IIS data to CDC. Jurisdictions reporting data to CDC include U.S. states, some localities, and territories.\n\n• Because IIS data contain all vaccinations administered within a jurisdiction rather than a sample, standard errors were not calculated and statistical testing for differences in estimates across years were not performed.\n\n• Laws and policies regarding the submission of vaccination data to an IIS vary by state, which may impact the completeness of vaccination coverage reflected for a jurisdiction. More information on laws and policies are found at https://www.cdc.gov/vaccines/programs/iis/policy-legislation.html.\n\n• Coverage estimates based on IIS data are expected to differ from National Immunization Survey (NIS) estimates for children (https://www.cdc.gov/flu/fluvaxview/dashboard/vaccination-coverage-race.html)\nand adults (https://www.cdc.gov/flu/fluvaxview/dashboard/vaccination-adult-coverage.html) because NIS estimates are based on a sample that may not be representative after survey weighting and vaccination status is determined by survey respondent rather than vaccine records or administrations, and quality and completeness of IIS data may vary across jurisdictions. In general, NIS estimates tend to overestimate coverage due to overreporting and IIS estimates may underestimate coverage due to incompleteness of data in certain jurisdictions.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Flu-Vaccinations/Monthly-Cumulative-Number-and-Percent-of-Persons-W/udwr-3en6'}"
"Monthly Cumulative Number and Percent of Who Received ≥1 Influenza Vaccination Doses and Comparison Between 2024-25 and Two Previous Seasons, by Jurisdiction, United States",b6ny-6cd5,b6ny-6cd5_1736739298.703922_Monthly_Cumulative_Number_and_Percent_of_Who_Received__1_Influenza_Vaccination_Doses_and_Comparison_Between_2024-25_and_Two_Previous_Seasons__by_Jurisdiction__United_States_20250113.csv.gz,2025-01-13 03:34:58 UTC,https://data.cdc.gov/Flu-Vaccinations/Monthly-Cumulative-Number-and-Percent-of-Who-Recei/b6ny-6cd5,"• Monthly Cumulative Percent of Persons Who Received ≥1 Influenza Vaccination Doses and Comparison Between 2024-25 and Two Previous Seasons, by Jurisdiction, United States.

• Influenza (flu) vaccination coverage for children and adults is assessed through U.S. jurisdictions’ Immunization Information Systems Resources (IIS) data, submitted from jurisdictions to CDC monthly, in aggregate, by age group (https://www.cdc.gov/iis/about/).",,"{'name': 'Monthly Cumulative Number and Percent of Who Received ≥1 Influenza Vaccination Doses and Comparison Between 2024-25 and Two Previous Seasons, by Jurisdiction, United States', 'id': 'b6ny-6cd5', 'description': '• Monthly Cumulative Percent of Persons Who Received ≥1 Influenza Vaccination Doses and Comparison Between 2024-25 and Two Previous Seasons, by Jurisdiction, United States.\n\n• Influenza (flu) vaccination coverage for children and adults is assessed through U.S. jurisdictions’ Immunization Information Systems Resources (IIS) data, submitted from jurisdictions to CDC monthly, in aggregate, by age group (https://www.cdc.gov/iis/about/).', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Flu-Vaccinations/Monthly-Cumulative-Number-and-Percent-of-Who-Recei/b6ny-6cd5'}"
"Monthly Nirsevimab Receipt and Intent Among Females Aged 18-49 Years Who Have a Baby <8 Months, Are Currently Pregnant, or Are Trying to Get Pregnant, United States",8ame-63pc,8ame-63pc_1736715226.766807_Monthly_Nirsevimab_Receipt_and_Intent_Among_Females_Aged_18-49_Years_Who_Have_a_Baby__8_Months__Are_Currently_Pregnant__or_Are_Trying_to_Get_Pregnant__United_States_20250112.csv.gz,2025-01-12 20:53:46 UTC,https://data.cdc.gov/Pregnancy-Vaccination/Monthly-Nirsevimab-Receipt-and-Intent-Among-Female/8ame-63pc,"Monthly Nirsevimab Receipt and Intent Among Females Aged 18-49 Years Who Have a Baby <8 Months, Are Currently Pregnant, or Are Trying to Get Pregnant. 

• Using data from the National Immunization Survey-Adult COVID Module (NIS-ACM), monthly estimates of receipt and intent for baby’s receipt of nirsevimab reported by females aged 18-49 years with infants under the age of 8 months, females aged 18-49 years who are currently pregnant, and females aged 18-49 years who are currently trying to get pregnant. 

• The NIS-ACM is an ongoing random-digit-dial cellular telephone survey of households with adults 18 years and older.",,"{'name': 'Monthly Nirsevimab Receipt and Intent Among Females Aged 18-49 Years Who Have a Baby <8 Months, Are Currently Pregnant, or Are Trying to Get Pregnant, United States', 'id': '8ame-63pc', 'description': 'Monthly Nirsevimab Receipt and Intent Among Females Aged 18-49 Years Who Have a Baby <8 Months, Are Currently Pregnant, or Are Trying to Get Pregnant. \n\n• Using data from the National Immunization Survey-Adult COVID Module (NIS-ACM), monthly estimates of receipt and intent for baby’s receipt of nirsevimab reported by females aged 18-49 years with infants under the age of 8 months, females aged 18-49 years who are currently pregnant, and females aged 18-49 years who are currently trying to get pregnant. \n\n• The NIS-ACM is an ongoing random-digit-dial cellular telephone survey of households with adults 18 years and older.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Pregnancy-Vaccination/Monthly-Nirsevimab-Receipt-and-Intent-Among-Female/8ame-63pc'}"
Monthly Page Views to CDC.gov,rq85-buyi,rq85-buyi_1736712885.310730_Monthly_Page_Views_to_CDC.gov_20250112.csv.gz,2025-01-12 20:14:45 UTC,https://data.cdc.gov/Web-Metrics/Monthly-Page-Views-to-CDC-gov/rq85-buyi,For more information on CDC.gov metrics please see http://www.cdc.gov/metrics/,,"{'name': 'Monthly Page Views to CDC.gov', 'id': 'rq85-buyi', 'description': 'For more information on CDC.gov metrics please see http://www.cdc.gov/metrics/', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Web-Metrics/Monthly-Page-Views-to-CDC-gov/rq85-buyi'}"
"Monthly Provisional Counts of Deaths by Select Causes, 2020-2023",9dzk-mvmi,9dzk-mvmi_1736707957.661003_Monthly_Provisional_Counts_of_Deaths_by_Select_Causes__2020-2023_20250112.csv.gz,2025-01-12 18:52:37 UTC,https://data.cdc.gov/NCHS/Monthly-Provisional-Counts-of-Deaths-by-Select-Cau/9dzk-mvmi,"Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.

Provisional counts of deaths by the month the death occurred and by select causes of death for 2020-2023.",,"{'name': 'Monthly Provisional Counts of Deaths by Select Causes, 2020-2023', 'id': '9dzk-mvmi', 'description': 'Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.\n\nProvisional counts of deaths by the month the death occurred and by select causes of death for 2020-2023.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Monthly-Provisional-Counts-of-Deaths-by-Select-Cau/9dzk-mvmi'}"
Monthly Rates of Laboratory-Confirmed COVID-19 Hospitalizations from the COVID-NET Surveillance System,cf5u-bm9w,cf5u-bm9w_1736727185.137297_Monthly_Rates_of_Laboratory-Confirmed_COVID-19_Hospitalizations_from_the_COVID-NET_Surveillance_System_20250113.csv.gz,2025-01-13 00:13:05 UTC,https://data.cdc.gov/Public-Health-Surveillance/Monthly-Rates-of-Laboratory-Confirmed-COVID-19-Hos/cf5u-bm9w,"The Coronavirus Disease 2019 (COVID-19) Hospitalization Surveillance Network (COVID-NET) a network that conducts active, population-based surveillance for laboratory-confirmed COVID-19-associated hospitalizations among children and adults. COVID-NET, along with the Respiratory Syncytial Virus Hospitalization Surveillance Network (RSV-NET) and the Influenza Hospitalization Surveillance Network (FluSurv-NET), comprise the Respiratory Virus Hospitalization Surveillance Network (RESP-NET). The RESP-NET platforms have overlapping surveillance areas and use similar methods to collect data. COVID-NET is CDC’s source for important data on rates of hospitalizations associated with COVID-19. Hospitalization rates show how many people in the surveillance area are hospitalized with COVID-19, compared to the total number of people residing in that area.

Data are preliminary and subject to change as more data become available. Data will be updated weekly.",,"{'name': 'Monthly Rates of Laboratory-Confirmed COVID-19 Hospitalizations from the COVID-NET Surveillance System', 'id': 'cf5u-bm9w', 'description': 'The Coronavirus Disease 2019 (COVID-19) Hospitalization Surveillance Network (COVID-NET) a network that conducts active, population-based surveillance for laboratory-confirmed COVID-19-associated hospitalizations among children and adults. COVID-NET, along with the Respiratory Syncytial Virus Hospitalization Surveillance Network (RSV-NET) and the Influenza Hospitalization Surveillance Network (FluSurv-NET), comprise the Respiratory Virus Hospitalization Surveillance Network (RESP-NET). The RESP-NET platforms have overlapping surveillance areas and use similar methods to collect data. COVID-NET is CDC’s source for important data on rates of hospitalizations associated with COVID-19. Hospitalization rates show how many people in the surveillance area are hospitalized with COVID-19, compared to the total number of people residing in that area.\n\nData are preliminary and subject to change as more data become available. Data will be updated weekly.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/Monthly-Rates-of-Laboratory-Confirmed-COVID-19-Hos/cf5u-bm9w'}"
Monthly Rates of Laboratory-Confirmed RSV Hospitalizations from the RSV-NET Surveillance System,pbq2-7wr2,pbq2-7wr2_1736722341.441258_Monthly_Rates_of_Laboratory-Confirmed_RSV_Hospitalizations_from_the_RSV-NET_Surveillance_System_20250112.csv.gz,2025-01-12 22:52:21 UTC,https://data.cdc.gov/Public-Health-Surveillance/Monthly-Rates-of-Laboratory-Confirmed-RSV-Hospital/pbq2-7wr2,"The Respiratory Syncytial Virus Hospitalization Surveillance Network (RSV-NET) is a network that conducts active, population-based surveillance for laboratory-confirmed RSV-associated hospitalizations in children younger than 18 years of age and adults. RSV-NET, along with the Coronavirus Disease 2019 (COVID-19) Hospitalization Surveillance Network (COVID-NET) an the Influenza Hospitalization Surveillance network (FluSuv-NET), comprise the Respiratory Virus Hospitalization Surveillance Network (RESP-NET). The RESP-NET platforms have overlapping surveillance areas and use similar methods to collect data. Because the surveillance areas and age groups included in surveillance have changed over time, trends should be interpreted with caution. RSV-NET is CDC’s source for important data on rates of hospitalizations associated with RSV. Hospitalization rates show how many people in the surveillance area are hospitalized with RSV, compared to the total number of people residing in that area.

Data are preliminary and subject to change as more data become available. Data will be updated weekly.",,"{'name': 'Monthly Rates of Laboratory-Confirmed RSV Hospitalizations from the RSV-NET Surveillance System', 'id': 'pbq2-7wr2', 'description': 'The Respiratory Syncytial Virus Hospitalization Surveillance Network (RSV-NET) is a network that conducts active, population-based surveillance for laboratory-confirmed RSV-associated hospitalizations in children younger than 18 years of age and adults. RSV-NET, along with the Coronavirus Disease 2019 (COVID-19) Hospitalization Surveillance Network (COVID-NET) an the Influenza Hospitalization Surveillance network (FluSuv-NET), comprise the Respiratory Virus Hospitalization Surveillance Network (RESP-NET). The RESP-NET platforms have overlapping surveillance areas and use similar methods to collect data. Because the surveillance areas and age groups included in surveillance have changed over time, trends should be interpreted with caution. RSV-NET is CDC’s source for important data on rates of hospitalizations associated with RSV. Hospitalization rates show how many people in the surveillance area are hospitalized with RSV, compared to the total number of people residing in that area.\n\nData are preliminary and subject to change as more data become available. Data will be updated weekly.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/Monthly-Rates-of-Laboratory-Confirmed-RSV-Hospital/pbq2-7wr2'}"
"Motor Vehicle Occupant Death Rate, by Age and Gender, 2012 & 2014,  Region 10 - Seattle",5nuu-6upy,5nuu-6upy_1736729186.789943_Motor_Vehicle_Occupant_Death_Rate__by_Age_and_Gender__2012___2014___Region_10_-_Seattle_20250113.csv.gz,2025-01-13 00:46:26 UTC,https://data.cdc.gov/Motor-Vehicle/Motor-Vehicle-Occupant-Death-Rate-by-Age-and-Gende/5nuu-6upy,"Rate of deaths by age/gender (per 100,000 population) for motor vehicle occupants killed in crashes, 2012 & 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Safety Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed.",,"{'name': 'Motor Vehicle Occupant Death Rate, by Age and Gender, 2012 & 2014,  Region 10 - Seattle', 'id': '5nuu-6upy', 'description': ""Rate of deaths by age/gender (per 100,000 population) for motor vehicle occupants killed in crashes, 2012 & 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Safety Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Motor-Vehicle/Motor-Vehicle-Occupant-Death-Rate-by-Age-and-Gende/5nuu-6upy'}"
"Motor Vehicle Occupant Death Rate, by Age and Gender, 2012 & 2014,  Region 9 - San Francisco",xsu4-4sk9,xsu4-4sk9_1736727071.252472_Motor_Vehicle_Occupant_Death_Rate__by_Age_and_Gender__2012___2014___Region_9_-_San_Francisco_20250113.csv.gz,2025-01-13 00:11:11 UTC,https://data.cdc.gov/Motor-Vehicle/Motor-Vehicle-Occupant-Death-Rate-by-Age-and-Gende/xsu4-4sk9,"Rate of deaths by age/gender (per 100,000 population) for motor vehicle occupants killed in crashes, 2012 & 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Safety Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed.",,"{'name': 'Motor Vehicle Occupant Death Rate, by Age and Gender, 2012 & 2014,  Region 9 - San Francisco', 'id': 'xsu4-4sk9', 'description': ""Rate of deaths by age/gender (per 100,000 population) for motor vehicle occupants killed in crashes, 2012 & 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Safety Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed."", 'datatype': 'tabular', 'keywords': ['demographics', 'public safety', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Motor-Vehicle/Motor-Vehicle-Occupant-Death-Rate-by-Age-and-Gende/xsu4-4sk9'}"
"Motor Vehicle Occupant Death Rate, by Age and Gender, 2012 & 2014, All States",rqg5-mkef,rqg5-mkef_1736708174.101841_Motor_Vehicle_Occupant_Death_Rate__by_Age_and_Gender__2012___2014__All_States_20250112.csv.gz,2025-01-12 18:56:14 UTC,https://data.cdc.gov/Motor-Vehicle/Motor-Vehicle-Occupant-Death-Rate-by-Age-and-Gende/rqg5-mkef,"Rate of deaths by age/gender (per 100,000 population) for motor vehicle occupants killed in crashes, 2012 & 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Safety Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed.",,"{'name': 'Motor Vehicle Occupant Death Rate, by Age and Gender, 2012 & 2014, All States', 'id': 'rqg5-mkef', 'description': ""Rate of deaths by age/gender (per 100,000 population) for motor vehicle occupants killed in crashes, 2012 & 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Safety Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Motor-Vehicle/Motor-Vehicle-Occupant-Death-Rate-by-Age-and-Gende/rqg5-mkef'}"
"Motor Vehicle Occupant Death Rate, by Age and Gender, 2012 & 2014, HHS Region 1 - Boston",an65-3p9b,an65-3p9b_1736708146.985061_Motor_Vehicle_Occupant_Death_Rate__by_Age_and_Gender__2012___2014__HHS_Region_1_-_Boston_20250112.csv.gz,2025-01-12 18:55:46 UTC,https://data.cdc.gov/Motor-Vehicle/Motor-Vehicle-Occupant-Death-Rate-by-Age-and-Gende/an65-3p9b,"Rate of deaths by age/gender (per 100,000 population) for motor vehicle occupants killed in crashes, 2012 & 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Safety Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed.",,"{'name': 'Motor Vehicle Occupant Death Rate, by Age and Gender, 2012 & 2014, HHS Region 1 - Boston', 'id': 'an65-3p9b', 'description': ""Rate of deaths by age/gender (per 100,000 population) for motor vehicle occupants killed in crashes, 2012 & 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Safety Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Motor-Vehicle/Motor-Vehicle-Occupant-Death-Rate-by-Age-and-Gende/an65-3p9b'}"
"Motor Vehicle Occupant Death Rate, by Age and Gender, 2012 & 2014, Region 2 - New York",fj6s-ssz6,fj6s-ssz6_1736726556.484510_Motor_Vehicle_Occupant_Death_Rate__by_Age_and_Gender__2012___2014__Region_2_-_New_York_20250113.csv.gz,2025-01-13 00:02:36 UTC,https://data.cdc.gov/Motor-Vehicle/Motor-Vehicle-Occupant-Death-Rate-by-Age-and-Gende/fj6s-ssz6,"Rate of deaths by age/gender (per 100,000 population) for motor vehicle occupants killed in crashes, 2012 & 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Safety Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed.",,"{'name': 'Motor Vehicle Occupant Death Rate, by Age and Gender, 2012 & 2014, Region 2 - New York', 'id': 'fj6s-ssz6', 'description': ""Rate of deaths by age/gender (per 100,000 population) for motor vehicle occupants killed in crashes, 2012 & 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Safety Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Motor-Vehicle/Motor-Vehicle-Occupant-Death-Rate-by-Age-and-Gende/fj6s-ssz6'}"
"Motor Vehicle Occupant Death Rate, by Age and Gender, 2012 & 2014, Region 3 - Philadelphia",29ew-qk7z,29ew-qk7z_1736727797.192784_Motor_Vehicle_Occupant_Death_Rate__by_Age_and_Gender__2012___2014__Region_3_-_Philadelphia_20250113.csv.gz,2025-01-13 00:23:17 UTC,https://data.cdc.gov/Motor-Vehicle/Motor-Vehicle-Occupant-Death-Rate-by-Age-and-Gende/29ew-qk7z,"Rate of deaths by age/gender (per 100,000 population) for motor vehicle occupants killed in crashes, 2012 & 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Safety Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed.","<https://data.cdc.gov/Motor-Vehicle/Motor-Vehicle-Occupant-Death-Rate-by-Age-and-Gende/29ew-qk7z>; rel=""original"",
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","{'name': 'Motor Vehicle Occupant Death Rate, by Age and Gender, 2012 & 2014, Region 3 - Philadelphia', 'id': '29ew-qk7z', 'description': ""Rate of deaths by age/gender (per 100,000 population) for motor vehicle occupants killed in crashes, 2012 & 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Safety Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Motor-Vehicle/Motor-Vehicle-Occupant-Death-Rate-by-Age-and-Gende/29ew-qk7z'}"
"Motor Vehicle Occupant Death Rate, by Age and Gender, 2012 & 2014, Region 4 - Atlanta",rb93-4tgj,rb93-4tgj_1736724280.488795_Motor_Vehicle_Occupant_Death_Rate__by_Age_and_Gender__2012___2014__Region_4_-_Atlanta_20250112.csv.gz,2025-01-12 23:24:40 UTC,https://data.cdc.gov/Motor-Vehicle/Motor-Vehicle-Occupant-Death-Rate-by-Age-and-Gende/rb93-4tgj,"Rate of deaths by age/gender (per 100,000 population) for motor vehicle occupants killed in crashes, 2012 & 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Safety Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed.",,"{'name': 'Motor Vehicle Occupant Death Rate, by Age and Gender, 2012 & 2014, Region 4 - Atlanta', 'id': 'rb93-4tgj', 'description': ""Rate of deaths by age/gender (per 100,000 population) for motor vehicle occupants killed in crashes, 2012 & 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Safety Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Motor-Vehicle/Motor-Vehicle-Occupant-Death-Rate-by-Age-and-Gende/rb93-4tgj'}"
"Motor Vehicle Occupant Death Rate, by Age and Gender, 2012 & 2014, Region 5 - Chicago",6i2x-3kw3,6i2x-3kw3_1736724833.405465_Motor_Vehicle_Occupant_Death_Rate__by_Age_and_Gender__2012___2014__Region_5_-_Chicago_20250112.csv.gz,2025-01-12 23:33:53 UTC,https://data.cdc.gov/Motor-Vehicle/Motor-Vehicle-Occupant-Death-Rate-by-Age-and-Gende/6i2x-3kw3,"Rate of deaths by age/gender (per 100,000 population) for motor vehicle occupants killed in crashes, 2012 & 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Safety Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed.",,"{'name': 'Motor Vehicle Occupant Death Rate, by Age and Gender, 2012 & 2014, Region 5 - Chicago', 'id': '6i2x-3kw3', 'description': ""Rate of deaths by age/gender (per 100,000 population) for motor vehicle occupants killed in crashes, 2012 & 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Safety Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Motor-Vehicle/Motor-Vehicle-Occupant-Death-Rate-by-Age-and-Gende/6i2x-3kw3'}"
"Motor Vehicle Occupant Death Rate, by Age and Gender, 2012 & 2014, Region 6 - Dallas",8ihh-n7ic,8ihh-n7ic_1736726851.449849_Motor_Vehicle_Occupant_Death_Rate__by_Age_and_Gender__2012___2014__Region_6_-_Dallas_20250113.csv.gz,2025-01-13 00:07:31 UTC,https://data.cdc.gov/Motor-Vehicle/Motor-Vehicle-Occupant-Death-Rate-by-Age-and-Gende/8ihh-n7ic,"Rate of deaths by age/gender (per 100,000 population) for motor vehicle occupants killed in crashes, 2012 & 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Safety Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed.",,"{'name': 'Motor Vehicle Occupant Death Rate, by Age and Gender, 2012 & 2014, Region 6 - Dallas', 'id': '8ihh-n7ic', 'description': ""Rate of deaths by age/gender (per 100,000 population) for motor vehicle occupants killed in crashes, 2012 & 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Safety Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Motor-Vehicle/Motor-Vehicle-Occupant-Death-Rate-by-Age-and-Gende/8ihh-n7ic'}"
"Motor Vehicle Occupant Death Rate, by Age and Gender, 2012 & 2014, Region 7 - Kansas City",u5yv-9uts,u5yv-9uts_1736728963.756772_Motor_Vehicle_Occupant_Death_Rate__by_Age_and_Gender__2012___2014__Region_7_-_Kansas_City_20250113.csv.gz,2025-01-13 00:42:43 UTC,https://data.cdc.gov/Motor-Vehicle/Motor-Vehicle-Occupant-Death-Rate-by-Age-and-Gende/u5yv-9uts,"Rate of deaths by age/gender (per 100,000 population) for motor vehicle occupants killed in crashes, 2012 & 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Safety Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed.",,"{'name': 'Motor Vehicle Occupant Death Rate, by Age and Gender, 2012 & 2014, Region 7 - Kansas City', 'id': 'u5yv-9uts', 'description': ""Rate of deaths by age/gender (per 100,000 population) for motor vehicle occupants killed in crashes, 2012 & 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Safety Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed."", 'datatype': 'tabular', 'keywords': ['demographics', 'public safety', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Motor-Vehicle/Motor-Vehicle-Occupant-Death-Rate-by-Age-and-Gende/u5yv-9uts'}"
"Motor Vehicle Occupant Death Rate, by Age and Gender, 2012 & 2014, Region 8 - Denver",8i5t-42wz,8i5t-42wz_1736727769.879322_Motor_Vehicle_Occupant_Death_Rate__by_Age_and_Gender__2012___2014__Region_8_-_Denver_20250113.csv.gz,2025-01-13 00:22:49 UTC,https://data.cdc.gov/Motor-Vehicle/Motor-Vehicle-Occupant-Death-Rate-by-Age-and-Gende/8i5t-42wz,"Rate of deaths by age/gender (per 100,000 population) for motor vehicle occupants killed in crashes, 2012 & 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Safety Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed.",,"{'name': 'Motor Vehicle Occupant Death Rate, by Age and Gender, 2012 & 2014, Region 8 - Denver', 'id': '8i5t-42wz', 'description': ""Rate of deaths by age/gender (per 100,000 population) for motor vehicle occupants killed in crashes, 2012 & 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Safety Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Motor-Vehicle/Motor-Vehicle-Occupant-Death-Rate-by-Age-and-Gende/8i5t-42wz'}"
NAAG Tobacco Settlement Payments,ffbi-is3j,ffbi-is3j_1736716546.434849_NAAG_Tobacco_Settlement_Payments_20250112.csv.gz,2025-01-12 21:15:46 UTC,https://data.cdc.gov/Policy/NAAG-Tobacco-Settlement-Payments/ffbi-is3j,"1999-2024. National Association of Attorneys General (NAAG). Policy—Tobacco Settlement Payments. The National Association of Attorneys General (NAAG) provides Tobacco Settlement Revenue data for 46 states participating in the Master Settlement Agreement (MSA) with the four largest tobacco companies in the United States.  Data are reported on an annual basis.  Four states (Florida, Minnesota, Mississippi, and Texas) provide the STATE System their Tobacco Settlement Revenue data independently.",,"{'name': 'NAAG Tobacco Settlement Payments', 'id': 'ffbi-is3j', 'description': '1999-2024. National Association of Attorneys General (NAAG). Policy—Tobacco Settlement Payments. The National Association of Attorneys General (NAAG) provides Tobacco Settlement Revenue data for 46 states participating in the Master Settlement Agreement (MSA) with the four largest tobacco companies in the United States.  Data are reported on an annual basis.  Four states (Florida, Minnesota, Mississippi, and Texas) provide the STATE System their Tobacco Settlement Revenue data independently.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Policy/NAAG-Tobacco-Settlement-Payments/ffbi-is3j'}"
NCHS - Age-adjusted Death Rates for Selected Major Causes of Death,6rkc-nb2q,6rkc-nb2q_1736710837.569338_NCHS_-_Age-adjusted_Death_Rates_for_Selected_Major_Causes_of_Death_20250112.csv.gz,2025-01-12 19:40:37 UTC,https://data.cdc.gov/NCHS/NCHS-Age-adjusted-Death-Rates-for-Selected-Major-C/6rkc-nb2q,"This dataset of U.S. mortality trends since 1900 highlights trends in age-adjusted death rates for five selected major causes of death.

Age-adjusted death rates (deaths per 100,000) after 1998 are calculated based on the 2000 U.S. standard population. Populations used for computing death rates for 2011–2017 are postcensal estimates based on the 2010 census, estimated as of July 1, 2010. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years between 2000 and 2010 are revised using updated intercensal population estimates and may differ from rates previously published. Data on age-adjusted death rates prior to 1999 are taken from historical data (see References below).

Revisions to the International Classification of Diseases (ICD) over time may result in discontinuities in cause-of-death trends.

SOURCES

CDC/NCHS, National Vital Statistics System, historical data, 1900-1998 (see https://www.cdc.gov/nchs/nvss/mortality_historical_data.htm); CDC/NCHS, National Vital Statistics System, mortality data (see http://www.cdc.gov/nchs/deaths.htm); and CDC WONDER (see http://wonder.cdc.gov).

REFERENCES

1. National Center for Health Statistics, Data Warehouse. Comparability of cause-of-death between ICD revisions. 2008. Available from: http://www.cdc.gov/nchs/nvss/mortality/comparability_icd.htm.

2. National Center for Health Statistics. Vital statistics data available. Mortality multiple cause files. Hyattsville, MD: National Center for Health Statistics. Available from: https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm.

3. Kochanek KD, Murphy SL, Xu JQ, Arias E. Deaths: Final data for 2017. National Vital Statistics Reports; vol 68 no 9. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_09-508.pdf.

4. Arias E, Xu JQ. United States life tables, 2017. National Vital Statistics Reports; vol 68 no 7. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_07-508.pdf.

5. National Center for Health Statistics. Historical Data, 1900-1998. 2009. Available from: https://www.cdc.gov/nchs/nvss/mortality_historical_data.htm.",,"{'name': 'NCHS - Age-adjusted Death Rates for Selected Major Causes of Death', 'id': '6rkc-nb2q', 'description': 'This dataset of U.S. mortality trends since 1900 highlights trends in age-adjusted death rates for five selected major causes of death.\n\nAge-adjusted death rates (deaths per 100,000) after 1998 are calculated based on the 2000 U.S. standard population. Populations used for computing death rates for 2011–2017 are postcensal estimates based on the 2010 census, estimated as of July 1, 2010. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years between 2000 and 2010 are revised using updated intercensal population estimates and may differ from rates previously published. Data on age-adjusted death rates prior to 1999 are taken from historical data (see References below).\n\nRevisions to the International Classification of Diseases (ICD) over time may result in discontinuities in cause-of-death trends.\n\nSOURCES\n\nCDC/NCHS, National Vital Statistics System, historical data, 1900-1998 (see https://www.cdc.gov/nchs/nvss/mortality_historical_data.htm); CDC/NCHS, National Vital Statistics System, mortality data (see http://www.cdc.gov/nchs/deaths.htm); and CDC WONDER (see http://wonder.cdc.gov).\n\nREFERENCES\n\n1. National Center for Health Statistics, Data Warehouse. Comparability of cause-of-death between ICD revisions. 2008. Available from: http://www.cdc.gov/nchs/nvss/mortality/comparability_icd.htm.\n\n2. National Center for Health Statistics. Vital statistics data available. Mortality multiple cause files. Hyattsville, MD: National Center for Health Statistics. Available from: https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm.\n\n3. Kochanek KD, Murphy SL, Xu JQ, Arias E. Deaths: Final data for 2017. National Vital Statistics Reports; vol 68 no 9. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_09-508.pdf.\n\n4. Arias E, Xu JQ. United States life tables, 2017. National Vital Statistics Reports; vol 68 no 7. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_07-508.pdf.\n\n5. National Center for Health Statistics. Historical Data, 1900-1998. 2009. Available from: https://www.cdc.gov/nchs/nvss/mortality_historical_data.htm.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/NCHS-Age-adjusted-Death-Rates-for-Selected-Major-C/6rkc-nb2q'}"
NCHS - Birth Rates for Females by Age Group: United States,yt7u-eiyg,yt7u-eiyg_1736710755.963349_NCHS_-_Birth_Rates_for_Females_by_Age_Group__United_States_20250112.csv.gz,2025-01-12 19:39:15 UTC,https://data.cdc.gov/NCHS/NCHS-Birth-Rates-for-Females-by-Age-Group-United-S/yt7u-eiyg,"This dataset includes birth rates for females by age group in the United States since 1940.

The number of states in the reporting area differ historically. In 1915 (when the birth registration area was established), 10 states and the District of Columbia reported births; by 1933, 48 states and the District of Columbia were reporting births, with the last two states, Alaska and Hawaii, added to the registration area in 1959 and 1960, when these regions gained statehood. Reporting area information is detailed in references 1 and 2 below. Trend lines for 1909–1958 are based on live births adjusted for under-registration; beginning with 1959, trend lines are based on registered live births.",,"{'name': 'NCHS - Birth Rates for Females by Age Group: United States', 'id': 'yt7u-eiyg', 'description': 'This dataset includes birth rates for females by age group in the United States since 1940.\n\nThe number of states in the reporting area differ historically. In 1915 (when the birth registration area was established), 10 states and the District of Columbia reported births; by 1933, 48 states and the District of Columbia were reporting births, with the last two states, Alaska and Hawaii, added to the registration area in 1959 and 1960, when these regions gained statehood. Reporting area information is detailed in references 1 and 2 below. Trend lines for 1909–1958 are based on live births adjusted for under-registration; beginning with 1959, trend lines are based on registered live births.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/NCHS-Birth-Rates-for-Females-by-Age-Group-United-S/yt7u-eiyg'}"
"NCHS - Birth Rates for Unmarried Women by Age, Race, and Hispanic Origin: United States",6tkz-y37d,6tkz-y37d_1736710417.680558_NCHS_-_Birth_Rates_for_Unmarried_Women_by_Age__Race__and_Hispanic_Origin__United_States_20250112.csv.gz,2025-01-12 19:33:37 UTC,https://data.cdc.gov/NCHS/NCHS-Birth-Rates-for-Unmarried-Women-by-Age-Race-a/6tkz-y37d,"This dataset includes birth rates for unmarried women by age group, race, and Hispanic origin in the United States since 1970. 

Methods for collecting information on marital status changed over the reporting period and have been documented in:

• Ventura SJ, Bachrach CA. Nonmarital childbearing in the United States, 1940–99. National vital statistics reports; vol 48 no 16. Hyattsville, Maryland: National Center for Health Statistics. 2000. Available from: http://www.cdc.gov/nchs/data/nvsr/nvsr48/nvs48_16.pdf.
• National Center for Health Statistics. User guide to the 2013 natality public use file. Hyattsville, Maryland: National Center for Health Statistics. 2014. Available from: http://www.cdc.gov/nchs/data_access/VitalStatsOnline.htm.

National data on births by Hispanics origin exclude data for Louisiana, New Hampshire, and Oklahoma in 1989; for New Hampshire and Oklahoma in 1990; for New Hampshire in 1991 and 1992. Information on reporting Hispanic origin is detailed in the Technical Appendix for the 1999 public-use natality data file (see (ftp://ftp.cdc.gov/pub/Health_Statistics/NCHS/Dataset_Documentation/DVS/natality/Nat1999doc.pdf.)

All birth data by race before 1980 are based on race of the child. Starting in 1980, birth data by race are based on race of the mother.","<https://data.cdc.gov/NCHS/NCHS-Birth-Rates-for-Unmarried-Women-by-Age-Race-a/6tkz-y37d>; rel=""original"",
<http://web.archive.org/web/timemap/link/https://data.cdc.gov/NCHS/NCHS-Birth-Rates-for-Unmarried-Women-by-Age-Race-a/6tkz-y37d>; rel=""self""; type=""application/link-format""; from=""Thu, 29 Oct 2020 23:36:26 GMT"",
<http://web.archive.org/web/https://data.cdc.gov/NCHS/NCHS-Birth-Rates-for-Unmarried-Women-by-Age-Race-a/6tkz-y37d>; rel=""timegate"",
<http://web.archive.org/web/20201029233626/https://data.cdc.gov/NCHS/NCHS-Birth-Rates-for-Unmarried-Women-by-Age-Race-a/6tkz-y37d>; rel=""first memento""; datetime=""Thu, 29 Oct 2020 23:36:26 GMT"",
<http://web.archive.org/web/20210115154600/https://data.cdc.gov/NCHS/NCHS-Birth-Rates-for-Unmarried-Women-by-Age-Race-a/6tkz-y37d>; rel=""memento""; datetime=""Fri, 15 Jan 2021 15:46:00 GMT"",
<http://web.archive.org/web/20210326104040/https://data.cdc.gov/NCHS/NCHS-Birth-Rates-for-Unmarried-Women-by-Age-Race-a/6tkz-y37d>; rel=""memento""; datetime=""Fri, 26 Mar 2021 10:40:40 GMT"",
<http://web.archive.org/web/20210411075148/https://data.cdc.gov/NCHS/NCHS-Birth-Rates-for-Unmarried-Women-by-Age-Race-a/6tkz-y37d>; rel=""memento""; datetime=""Sun, 11 Apr 2021 07:51:48 GMT"",
<http://web.archive.org/web/20210427204930/https://data.cdc.gov/NCHS/NCHS-Birth-Rates-for-Unmarried-Women-by-Age-Race-a/6tkz-y37d>; rel=""memento""; datetime=""Tue, 27 Apr 2021 20:49:30 GMT"",
<http://web.archive.org/web/20210508090927/https://data.cdc.gov/NCHS/NCHS-Birth-Rates-for-Unmarried-Women-by-Age-Race-a/6tkz-y37d>; rel=""memento""; datetime=""Sat, 08 May 2021 09:09:27 GMT"",
<http://web.archive.org/web/20210508090929/https://data.cdc.gov/NCHS/NCHS-Birth-Rates-for-Unmarried-Women-by-Age-Race-a/6tkz-y37d>; rel=""memento""; datetime=""Sat, 08 May 2021 09:09:29 GMT"",
<http://web.archive.org/web/20210720120234/https://data.cdc.gov/NCHS/NCHS-Birth-Rates-for-Unmarried-Women-by-Age-Race-a/6tkz-y37d>; rel=""memento""; datetime=""Tue, 20 Jul 2021 12:02:34 GMT"",
<http://web.archive.org/web/20210720120238/https://data.cdc.gov/NCHS/NCHS-Birth-Rates-for-Unmarried-Women-by-Age-Race-a/6tkz-y37d>; rel=""memento""; datetime=""Tue, 20 Jul 2021 12:02:38 GMT"",
<http://web.archive.org/web/20230505141233/https://data.cdc.gov/NCHS/NCHS-Birth-Rates-for-Unmarried-Women-by-Age-Race-a/6tkz-y37d>; rel=""memento""; datetime=""Fri, 05 May 2023 14:12:33 GMT"",
<http://web.archive.org/web/20241125052521/https://data.cdc.gov/NCHS/NCHS-Birth-Rates-for-Unmarried-Women-by-Age-Race-a/6tkz-y37d>; rel=""memento""; datetime=""Mon, 25 Nov 2024 05:25:21 GMT"",
<http://web.archive.org/web/20241126230354/https://data.cdc.gov/NCHS/NCHS-Birth-Rates-for-Unmarried-Women-by-Age-Race-a/6tkz-y37d>; rel=""memento""; datetime=""Tue, 26 Nov 2024 23:03:54 GMT"",
<http://web.archive.org/web/20241213135018/https://data.cdc.gov/NCHS/NCHS-Birth-Rates-for-Unmarried-Women-by-Age-Race-a/6tkz-y37d>; rel=""memento""; datetime=""Fri, 13 Dec 2024 13:50:18 GMT"",
<http://web.archive.org/web/20250201004839/https://data.cdc.gov/NCHS/NCHS-Birth-Rates-for-Unmarried-Women-by-Age-Race-a/6tkz-y37d>; rel=""memento""; datetime=""Sat, 01 Feb 2025 00:48:39 GMT"",
<http://web.archive.org/web/20250201205129/https://data.cdc.gov/NCHS/NCHS-Birth-Rates-for-Unmarried-Women-by-Age-Race-a/6tkz-y37d>; rel=""memento""; datetime=""Sat, 01 Feb 2025 20:51:29 GMT"",
<http://web.archive.org/web/20250202083223/https://data.cdc.gov/NCHS/NCHS-Birth-Rates-for-Unmarried-Women-by-Age-Race-a/6tkz-y37d>; rel=""memento""; datetime=""Sun, 02 Feb 2025 08:32:23 GMT"",
<http://web.archive.org/web/20250202214350/https://data.cdc.gov/NCHS/NCHS-Birth-Rates-for-Unmarried-Women-by-Age-Race-a/6tkz-y37d>; rel=""memento""; datetime=""Sun, 02 Feb 2025 21:43:50 GMT"",
<http://web.archive.org/web/20250208225133/https://data.cdc.gov/NCHS/NCHS-Birth-Rates-for-Unmarried-Women-by-Age-Race-a/6tkz-y37d>; rel=""memento""; datetime=""Sat, 08 Feb 2025 22:51:33 GMT"",
<http://web.archive.org/web/20250209014322/https://data.cdc.gov/NCHS/NCHS-Birth-Rates-for-Unmarried-Women-by-Age-Race-a/6tkz-y37d/>; rel=""memento""; datetime=""Sun, 09 Feb 2025 01:43:22 GMT"",
<http://web.archive.org/web/20250209014323/https://data.cdc.gov/NCHS/NCHS-Birth-Rates-for-Unmarried-Women-by-Age-Race-a/6tkz-y37d>; rel=""memento""; datetime=""Sun, 09 Feb 2025 01:43:23 GMT"",
<http://web.archive.org/web/20250209014344/https://data.cdc.gov/NCHS/NCHS-Birth-Rates-for-Unmarried-Women-by-Age-Race-a/6tkz-y37d>; rel=""memento""; datetime=""Sun, 09 Feb 2025 01:43:44 GMT""
","{'name': 'NCHS - Birth Rates for Unmarried Women by Age, Race, and Hispanic Origin: United States', 'id': '6tkz-y37d', 'description': 'This dataset includes birth rates for unmarried women by age group, race, and Hispanic origin in the United States since 1970. \n\nMethods for collecting information on marital status changed over the reporting period and have been documented in:\n\n• Ventura SJ, Bachrach CA. Nonmarital childbearing in the United States, 1940–99. National vital statistics reports; vol 48 no 16. Hyattsville, Maryland: National Center for Health Statistics. 2000. Available from: http://www.cdc.gov/nchs/data/nvsr/nvsr48/nvs48_16.pdf.\n• National Center for Health Statistics. User guide to the 2013 natality public use file. Hyattsville, Maryland: National Center for Health Statistics. 2014. Available from: http://www.cdc.gov/nchs/data_access/VitalStatsOnline.htm.\n\nNational data on births by Hispanics origin exclude data for Louisiana, New Hampshire, and Oklahoma in 1989; for New Hampshire and Oklahoma in 1990; for New Hampshire in 1991 and 1992. Information on reporting Hispanic origin is detailed in the Technical Appendix for the 1999 public-use natality data file (see (ftp://ftp.cdc.gov/pub/Health_Statistics/NCHS/Dataset_Documentation/DVS/natality/Nat1999doc.pdf.)\n\nAll birth data by race before 1980 are based on race of the child. Starting in 1980, birth data by race are based on race of the mother.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/NCHS-Birth-Rates-for-Unmarried-Women-by-Age-Race-a/6tkz-y37d'}"
"NCHS - Birth Rates for Women Aged 15-17, 17-18, and 15-19: United States, 1960-2015",rg8a-czmp,rg8a-czmp_1736727370.735041_NCHS_-_Birth_Rates_for_Women_Aged_15-17__17-18__and_15-19__United_States__1960-2015_20250113.csv.gz,2025-01-13 00:16:10 UTC,https://data.cdc.gov/NCHS/NCHS-Birth-Rates-for-Women-Aged-15-17-17-18-and-15/rg8a-czmp,"This dataset assembles all final birth data for females aged 15–19, 15–17, and 18–19 for the United States.",,"{'name': 'NCHS - Birth Rates for Women Aged 15-17, 17-18, and 15-19: United States, 1960-2015', 'id': 'rg8a-czmp', 'description': 'This dataset assembles all final birth data for females aged 15–19, 15–17, and 18–19 for the United States.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/NCHS-Birth-Rates-for-Women-Aged-15-17-17-18-and-15/rg8a-czmp'}"
NCHS - Births and General Fertility Rates: United States,e6fc-ccez,e6fc-ccez_1736709824.469630_NCHS_-_Births_and_General_Fertility_Rates__United_States_20250112.csv.gz,2025-01-12 19:23:44 UTC,https://data.cdc.gov/NCHS/NCHS-Births-and-General-Fertility-Rates-United-Sta/e6fc-ccez,"This dataset includes crude birth rates and general fertility rates in the United States since 1909. 

The number of states in the reporting area differ historically. In 1915 (when the birth registration area was established), 10 states and the District of Columbia reported births; by 1933, 48 states and the District of Columbia were reporting births, with the last two states, Alaska and Hawaii, added to the registration area in 1959 and 1960, when these regions gained statehood. Reporting area information is detailed in references 1 and 2 below. Trend lines for 1909–1958 are based on live births adjusted for under-registration; beginning with 1959, trend lines are based on registered live births.",,"{'name': 'NCHS - Births and General Fertility Rates: United States', 'id': 'e6fc-ccez', 'description': 'This dataset includes crude birth rates and general fertility rates in the United States since 1909. \n\nThe number of states in the reporting area differ historically. In 1915 (when the birth registration area was established), 10 states and the District of Columbia reported births; by 1933, 48 states and the District of Columbia were reporting births, with the last two states, Alaska and Hawaii, added to the registration area in 1959 and 1960, when these regions gained statehood. Reporting area information is detailed in references 1 and 2 below. Trend lines for 1909–1958 are based on live births adjusted for under-registration; beginning with 1959, trend lines are based on registered live births.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/NCHS-Births-and-General-Fertility-Rates-United-Sta/e6fc-ccez'}"
NCHS - Births to Unmarried Women by Age Group: United States,g6qk-ngsf,g6qk-ngsf_1736722151.749827_NCHS_-_Births_to_Unmarried_Women_by_Age_Group__United_States_20250112.csv.gz,2025-01-12 22:49:11 UTC,https://data.cdc.gov/NCHS/NCHS-Births-to-Unmarried-Women-by-Age-Group-United/g6qk-ngsf,"This dataset includes number of births to unmarried women by age group in the United States since 1940. 

Methods for collecting information on marital status changed over the reporting period and have been documented in:

• Ventura SJ, Bachrach CA. Nonmarital childbearing in the United States, 1940–99. National vital statistics reports; vol 48 no 16. Hyattsville, Maryland: National Center for Health Statistics. 2000. Available from: http://www.cdc.gov/nchs/data/nvsr/nvsr48/nvs48_16.pdf.
• National Center for Health Statistics. User guide to the 2013 natality public use file. Hyattsville, Maryland: National Center for Health Statistics. 2014. Available from: http://www.cdc.gov/nchs/data_access/VitalStatsOnline.htm.","<https://data.cdc.gov/NCHS/NCHS-Births-to-Unmarried-Women-by-Age-Group-United/g6qk-ngsf>; rel=""original"",
<http://web.archive.org/web/timemap/link/https://data.cdc.gov/NCHS/NCHS-Births-to-Unmarried-Women-by-Age-Group-United/g6qk-ngsf>; rel=""self""; type=""application/link-format""; from=""Wed, 28 Oct 2020 08:53:38 GMT"",
<http://web.archive.org/web/https://data.cdc.gov/NCHS/NCHS-Births-to-Unmarried-Women-by-Age-Group-United/g6qk-ngsf>; rel=""timegate"",
<http://web.archive.org/web/20201028085338/https://data.cdc.gov/NCHS/NCHS-Births-to-Unmarried-Women-by-Age-Group-United/g6qk-ngsf>; rel=""first memento""; datetime=""Wed, 28 Oct 2020 08:53:38 GMT"",
<http://web.archive.org/web/20210305020003/https://data.cdc.gov/NCHS/NCHS-Births-to-Unmarried-Women-by-Age-Group-United/g6qk-ngsf>; rel=""memento""; datetime=""Fri, 05 Mar 2021 02:00:03 GMT"",
<http://web.archive.org/web/20210320091920/https://data.cdc.gov/NCHS/NCHS-Births-to-Unmarried-Women-by-Age-Group-United/g6qk-ngsf>; rel=""memento""; datetime=""Sat, 20 Mar 2021 09:19:20 GMT"",
<http://web.archive.org/web/20240930102044/https://data.cdc.gov/NCHS/NCHS-Births-to-Unmarried-Women-by-Age-Group-United/g6qk-ngsf>; rel=""memento""; datetime=""Mon, 30 Sep 2024 10:20:44 GMT"",
<http://web.archive.org/web/20241128012435/https://data.cdc.gov/NCHS/NCHS-Births-to-Unmarried-Women-by-Age-Group-United/g6qk-ngsf>; rel=""memento""; datetime=""Thu, 28 Nov 2024 01:24:35 GMT"",
<http://web.archive.org/web/20250201014334/https://data.cdc.gov/NCHS/NCHS-Births-to-Unmarried-Women-by-Age-Group-United/g6qk-ngsf>; rel=""memento""; datetime=""Sat, 01 Feb 2025 01:43:34 GMT"",
<http://web.archive.org/web/20250201211314/https://data.cdc.gov/NCHS/NCHS-Births-to-Unmarried-Women-by-Age-Group-United/g6qk-ngsf>; rel=""memento""; datetime=""Sat, 01 Feb 2025 21:13:14 GMT"",
<http://web.archive.org/web/20250202023255/https://data.cdc.gov/NCHS/NCHS-Births-to-Unmarried-Women-by-Age-Group-United/g6qk-ngsf>; rel=""memento""; datetime=""Sun, 02 Feb 2025 02:32:55 GMT"",
<http://web.archive.org/web/20250203072527/https://data.cdc.gov/NCHS/NCHS-Births-to-Unmarried-Women-by-Age-Group-United/g6qk-ngsf>; rel=""memento""; datetime=""Mon, 03 Feb 2025 07:25:27 GMT"",
<http://web.archive.org/web/20250205133002/https://data.cdc.gov/NCHS/NCHS-Births-to-Unmarried-Women-by-Age-Group-United/g6qk-ngsf>; rel=""memento""; datetime=""Wed, 05 Feb 2025 13:30:02 GMT"",
<http://web.archive.org/web/20250209190722/https://data.cdc.gov/NCHS/NCHS-Births-to-Unmarried-Women-by-Age-Group-United/g6qk-ngsf>; rel=""memento""; datetime=""Sun, 09 Feb 2025 19:07:22 GMT"",
<http://web.archive.org/web/20250209190723/https://data.cdc.gov/NCHS/NCHS-Births-to-Unmarried-Women-by-Age-Group-United/g6qk-ngsf/>; rel=""memento""; datetime=""Sun, 09 Feb 2025 19:07:23 GMT"",
<http://web.archive.org/web/20250209190743/https://data.cdc.gov/NCHS/NCHS-Births-to-Unmarried-Women-by-Age-Group-United/g6qk-ngsf>; rel=""memento""; datetime=""Sun, 09 Feb 2025 19:07:43 GMT""
","{'name': 'NCHS - Births to Unmarried Women by Age Group: United States', 'id': 'g6qk-ngsf', 'description': 'This dataset includes number of births to unmarried women by age group in the United States since 1940. \n\nMethods for collecting information on marital status changed over the reporting period and have been documented in:\n\n• Ventura SJ, Bachrach CA. Nonmarital childbearing in the United States, 1940–99. National vital statistics reports; vol 48 no 16. Hyattsville, Maryland: National Center for Health Statistics. 2000. Available from: http://www.cdc.gov/nchs/data/nvsr/nvsr48/nvs48_16.pdf.\n• National Center for Health Statistics. User guide to the 2013 natality public use file. Hyattsville, Maryland: National Center for Health Statistics. 2014. Available from: http://www.cdc.gov/nchs/data_access/VitalStatsOnline.htm.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/NCHS-Births-to-Unmarried-Women-by-Age-Group-United/g6qk-ngsf'}"
NCHS - Childhood Mortality Rates,v6ab-adf5,v6ab-adf5_1736712800.602341_NCHS_-_Childhood_Mortality_Rates_20250112.csv.gz,2025-01-12 20:13:20 UTC,https://data.cdc.gov/NCHS/NCHS-Childhood-Mortality-Rates/v6ab-adf5,"This dataset of U.S. mortality trends since 1900 highlights childhood mortality rates by age group for age at death.

Age-adjusted death rates (deaths per 100,000) after 1998 are calculated based on the 2000 U.S. standard population. Populations used for computing death rates for 2011–2017 are postcensal estimates based on the 2010 census, estimated as of July 1, 2010. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years between 2000 and 2010 are revised using updated intercensal population estimates and may differ from rates previously published. Data on age-adjusted death rates prior to 1999 are taken from historical data (see References below).

Age groups for childhood death rates are based on age at death.

SOURCES

CDC/NCHS, National Vital Statistics System, historical data, 1900-1998 (see https://www.cdc.gov/nchs/nvss/mortality_historical_data.htm); CDC/NCHS, National Vital Statistics System, mortality data (see http://www.cdc.gov/nchs/deaths.htm); and CDC WONDER (see http://wonder.cdc.gov).

REFERENCES

1. National Center for Health Statistics, Data Warehouse. Comparability of cause-of-death between ICD revisions. 2008. Available from: http://www.cdc.gov/nchs/nvss/mortality/comparability_icd.htm.

2. National Center for Health Statistics. Vital statistics data available. Mortality multiple cause files. Hyattsville, MD: National Center for Health Statistics. Available from: https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm.

3. Kochanek KD, Murphy SL, Xu JQ, Arias E. Deaths: Final data for 2017. National Vital Statistics Reports; vol 68 no 9. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_09-508.pdf.

4. Arias E, Xu JQ. United States life tables, 2017. National Vital Statistics Reports; vol 68 no 7. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_07-508.pdf.

5. National Center for Health Statistics. Historical Data, 1900-1998. 2009. Available from: https://www.cdc.gov/nchs/nvss/mortality_historical_data.htm.",,"{'name': 'NCHS - Childhood Mortality Rates', 'id': 'v6ab-adf5', 'description': 'This dataset of U.S. mortality trends since 1900 highlights childhood mortality rates by age group for age at death.\n\nAge-adjusted death rates (deaths per 100,000) after 1998 are calculated based on the 2000 U.S. standard population. Populations used for computing death rates for 2011–2017 are postcensal estimates based on the 2010 census, estimated as of July 1, 2010. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years between 2000 and 2010 are revised using updated intercensal population estimates and may differ from rates previously published. Data on age-adjusted death rates prior to 1999 are taken from historical data (see References below).\n\nAge groups for childhood death rates are based on age at death.\n\nSOURCES\n\nCDC/NCHS, National Vital Statistics System, historical data, 1900-1998 (see https://www.cdc.gov/nchs/nvss/mortality_historical_data.htm); CDC/NCHS, National Vital Statistics System, mortality data (see http://www.cdc.gov/nchs/deaths.htm); and CDC WONDER (see http://wonder.cdc.gov).\n\nREFERENCES\n\n1. National Center for Health Statistics, Data Warehouse. Comparability of cause-of-death between ICD revisions. 2008. Available from: http://www.cdc.gov/nchs/nvss/mortality/comparability_icd.htm.\n\n2. National Center for Health Statistics. Vital statistics data available. Mortality multiple cause files. Hyattsville, MD: National Center for Health Statistics. Available from: https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm.\n\n3. Kochanek KD, Murphy SL, Xu JQ, Arias E. Deaths: Final data for 2017. National Vital Statistics Reports; vol 68 no 9. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_09-508.pdf.\n\n4. Arias E, Xu JQ. United States life tables, 2017. National Vital Statistics Reports; vol 68 no 7. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_07-508.pdf.\n\n5. National Center for Health Statistics. Historical Data, 1900-1998. 2009. Available from: https://www.cdc.gov/nchs/nvss/mortality_historical_data.htm.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/NCHS-Childhood-Mortality-Rates/v6ab-adf5'}"
NCHS - Death rates and life expectancy at birth,w9j2-ggv5,w9j2-ggv5_1736708952.308095_NCHS_-_Death_rates_and_life_expectancy_at_birth_20250112.csv.gz,2025-01-12 19:09:12 UTC,https://data.cdc.gov/NCHS/NCHS-Death-rates-and-life-expectancy-at-birth/w9j2-ggv5,"This dataset of U.S. mortality trends since 1900 highlights the differences in age-adjusted death rates and life expectancy at birth by race and sex.

Age-adjusted death rates (deaths per 100,000) after 1998 are calculated based on the 2000 U.S. standard population. Populations used for computing death rates for 2011–2017 are postcensal estimates based on the 2010 census, estimated as of July 1, 2010. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years between 2000 and 2010 are revised using updated intercensal population estimates and may differ from rates previously published. Data on age-adjusted death rates prior to 1999 are taken from historical data (see References below).

Life expectancy data are available up to 2017. Due to changes in categories of race used in publications, data are not available for the black population consistently before 1968, and not at all before 1960. More information on historical data on age-adjusted death rates is available at https://www.cdc.gov/nchs/nvss/mortality/hist293.htm.

SOURCES

CDC/NCHS, National Vital Statistics System, historical data, 1900-1998 (see https://www.cdc.gov/nchs/nvss/mortality_historical_data.htm); CDC/NCHS, National Vital Statistics System, mortality data (see http://www.cdc.gov/nchs/deaths.htm); and CDC WONDER (see http://wonder.cdc.gov).

REFERENCES

1. National Center for Health Statistics, Data Warehouse. Comparability of cause-of-death between ICD revisions. 2008. Available from: http://www.cdc.gov/nchs/nvss/mortality/comparability_icd.htm.

2. National Center for Health Statistics. Vital statistics data available. Mortality multiple cause files. Hyattsville, MD: National Center for Health Statistics. Available from: https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm.

3. Kochanek KD, Murphy SL, Xu JQ, Arias E. Deaths: Final data for 2017. National Vital Statistics Reports; vol 68 no 9. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_09-508.pdf.

4. Arias E, Xu JQ. United States life tables, 2017. National Vital Statistics Reports; vol 68 no 7. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_07-508.pdf.

5. National Center for Health Statistics. Historical Data, 1900-1998. 2009. Available from: https://www.cdc.gov/nchs/nvss/mortality_historical_data.htm.",,"{'name': 'NCHS - Death rates and life expectancy at birth', 'id': 'w9j2-ggv5', 'description': 'This dataset of U.S. mortality trends since 1900 highlights the differences in age-adjusted death rates and life expectancy at birth by race and sex.\n\nAge-adjusted death rates (deaths per 100,000) after 1998 are calculated based on the 2000 U.S. standard population. Populations used for computing death rates for 2011–2017 are postcensal estimates based on the 2010 census, estimated as of July 1, 2010. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years between 2000 and 2010 are revised using updated intercensal population estimates and may differ from rates previously published. Data on age-adjusted death rates prior to 1999 are taken from historical data (see References below).\n\nLife expectancy data are available up to 2017. Due to changes in categories of race used in publications, data are not available for the black population consistently before 1968, and not at all before 1960. More information on historical data on age-adjusted death rates is available at https://www.cdc.gov/nchs/nvss/mortality/hist293.htm.\n\nSOURCES\n\nCDC/NCHS, National Vital Statistics System, historical data, 1900-1998 (see https://www.cdc.gov/nchs/nvss/mortality_historical_data.htm); CDC/NCHS, National Vital Statistics System, mortality data (see http://www.cdc.gov/nchs/deaths.htm); and CDC WONDER (see http://wonder.cdc.gov).\n\nREFERENCES\n\n1. National Center for Health Statistics, Data Warehouse. Comparability of cause-of-death between ICD revisions. 2008. Available from: http://www.cdc.gov/nchs/nvss/mortality/comparability_icd.htm.\n\n2. National Center for Health Statistics. Vital statistics data available. Mortality multiple cause files. Hyattsville, MD: National Center for Health Statistics. Available from: https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm.\n\n3. Kochanek KD, Murphy SL, Xu JQ, Arias E. Deaths: Final data for 2017. National Vital Statistics Reports; vol 68 no 9. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_09-508.pdf.\n\n4. Arias E, Xu JQ. United States life tables, 2017. National Vital Statistics Reports; vol 68 no 7. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_07-508.pdf.\n\n5. National Center for Health Statistics. Historical Data, 1900-1998. 2009. Available from: https://www.cdc.gov/nchs/nvss/mortality_historical_data.htm.', 'datatype': 'tabular', 'keywords': ['demographics', 'health', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/NCHS-Death-rates-and-life-expectancy-at-birth/w9j2-ggv5'}"
NCHS - Drug Poisoning Mortality by County: United States,p56q-jrxg,p56q-jrxg_1736712786.938729_NCHS_-_Drug_Poisoning_Mortality_by_County__United_States_20250112.csv.gz,2025-01-12 20:13:06 UTC,https://data.cdc.gov/NCHS/NCHS-Drug-Poisoning-Mortality-by-County-United-Sta/p56q-jrxg,"This dataset contains model-based county estimates for drug-poisoning mortality. 

Deaths are classified using the International Classification of Diseases, Tenth Revision (ICD–10). Drug-poisoning deaths are defined as having ICD–10 underlying cause-of-death codes X40–X44 (unintentional), X60–X64 (suicide), X85 (homicide), or Y10–Y14 (undetermined intent).

Estimates are based on the National Vital Statistics System multiple cause-of-death mortality files (1). Age-adjusted death rates (deaths per 100,000 U.S. standard population for 2000) are calculated using the direct method. Populations used for computing death rates for 2011–2016 are postcensal estimates based on the 2010 U.S. census. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years before 2010 are revised using updated intercensal population estimates and may differ from rates previously published.

Death rates for some states and years may be low due to a high number of unresolved pending cases or misclassification of ICD–10 codes for unintentional poisoning as R99, “Other ill-defined and unspecified causes of mortality” (2). For example, this issue is known to affect New Jersey in 2009 and West Virginia in 2005 and 2009 but also may affect other years and other states. Drug poisoning death rates may be underestimated in those instances.

Smoothed county age-adjusted death rates (deaths per 100,000 population) were obtained according to methods described elsewhere (3–5). Briefly, two-stage hierarchical models were used to generate empirical Bayes estimates of county age-adjusted death rates due to drug poisoning for each year. These annual county-level estimates “borrow strength” across counties to generate stable estimates of death rates where data are sparse due to small population size (3,5). Estimates for 1999-2015 have been updated, and may differ slightly from previously published estimates. Differences are expected to be minimal, and may result from different county boundaries used in this release (see below) and from the inclusion of an additional year of data. Previously published estimates can be found here for comparison.(6) Estimates are unavailable for Broomfield County, Colorado, and Denali County, Alaska, before 2003 (7,8). Additionally, Clifton Forge County, Virginia only appears on the mortality files prior to 2003, while Bedford City, Virginia was added to Bedford County in 2015 and no longer appears in the mortality file in 2015. These counties were therefore merged with adjacent counties where necessary to create a consistent set of geographic units across the time period. County boundaries are largely consistent with the vintage 2005-2007 bridged-race population file geographies, with the modifications noted previously (7,8).

REFERENCES
1. National Center for Health Statistics. National Vital Statistics System: Mortality data. Available from: http://www.cdc.gov/nchs/deaths.htm.

2. CDC. CDC Wonder: Underlying cause of death 1999–2016. Available from: http://wonder.cdc.gov/wonder/help/ucd.html.

3. Rossen LM, Khan D, Warner M. Trends and geographic patterns in drug-poisoning death rates in the U.S., 1999–2009. Am J Prev Med 45(6):e19–25. 2013.

4. Rossen LM, Khan D, Warner M. Hot spots in mortality from drug poisoning in the United States, 2007–2009. Health Place 26:14–20. 2014.

5. Rossen LM, Khan D, Hamilton B, Warner M. Spatiotemporal variation in selected health outcomes from the National Vital Statistics System. Presented at: 2015 National Conference on Health Statistics, August 25, 2015, Bethesda, MD. Available from: http://www.cdc.gov/nchs/ppt/nchs2015/Rossen_Tuesday_WhiteOak_BB3.pdf.

6. Rossen LM, Bastian B, Warner M, and Khan D. NCHS – Drug Poisoning Mortality by County: United States, 1999-2015. Available from: https://data.cdc.gov/NCHS/NCHS-Drug-Poisoning-Mortality-by-County-United-Sta/pbkm-d27e.

7. National Center for Health Statistics. County geog",,"{'name': 'NCHS - Drug Poisoning Mortality by County: United States', 'id': 'p56q-jrxg', 'description': 'This dataset contains model-based county estimates for drug-poisoning mortality. \r\n\r\nDeaths are classified using the International Classification of Diseases, Tenth Revision (ICD–10). Drug-poisoning deaths are defined as having ICD–10 underlying cause-of-death codes X40–X44 (unintentional), X60–X64 (suicide), X85 (homicide), or Y10–Y14 (undetermined intent).\r\n\r\nEstimates are based on the National Vital Statistics System multiple cause-of-death mortality files (1). Age-adjusted death rates (deaths per 100,000 U.S. standard population for 2000) are calculated using the direct method. Populations used for computing death rates for 2011–2016 are postcensal estimates based on the 2010 U.S. census. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years before 2010 are revised using updated intercensal population estimates and may differ from rates previously published.\r\n\r\nDeath rates for some states and years may be low due to a high number of unresolved pending cases or misclassification of ICD–10 codes for unintentional poisoning as R99, “Other ill-defined and unspecified causes of mortality” (2). For example, this issue is known to affect New Jersey in 2009 and West Virginia in 2005 and 2009 but also may affect other years and other states. Drug poisoning death rates may be underestimated in those instances.\r\n\r\nSmoothed county age-adjusted death rates (deaths per 100,000 population) were obtained according to methods described elsewhere (3–5). Briefly, two-stage hierarchical models were used to generate empirical Bayes estimates of county age-adjusted death rates due to drug poisoning for each year. These annual county-level estimates “borrow strength” across counties to generate stable estimates of death rates where data are sparse due to small population size (3,5). Estimates for 1999-2015 have been updated, and may differ slightly from previously published estimates. Differences are expected to be minimal, and may result from different county boundaries used in this release (see below) and from the inclusion of an additional year of data. Previously published estimates can be found here for comparison.(6) Estimates are unavailable for Broomfield County, Colorado, and Denali County, Alaska, before 2003 (7,8). Additionally, Clifton Forge County, Virginia only appears on the mortality files prior to 2003, while Bedford City, Virginia was added to Bedford County in 2015 and no longer appears in the mortality file in 2015. These counties were therefore merged with adjacent counties where necessary to create a consistent set of geographic units across the time period. County boundaries are largely consistent with the vintage 2005-2007 bridged-race population file geographies, with the modifications noted previously (7,8).\r\n\r\nREFERENCES\r\n1. National Center for Health Statistics. National Vital Statistics System: Mortality data. Available from: http://www.cdc.gov/nchs/deaths.htm.\r\n\r\n2. CDC. CDC Wonder: Underlying cause of death 1999–2016. Available from: http://wonder.cdc.gov/wonder/help/ucd.html.\r\n\r\n3. Rossen LM, Khan D, Warner M. Trends and geographic patterns in drug-poisoning death rates in the U.S., 1999–2009. Am J Prev Med 45(6):e19–25. 2013.\r\n\r\n4. Rossen LM, Khan D, Warner M. Hot spots in mortality from drug poisoning in the United States, 2007–2009. Health Place 26:14–20. 2014.\r\n\r\n5. Rossen LM, Khan D, Hamilton B, Warner M. Spatiotemporal variation in selected health outcomes from the National Vital Statistics System. Presented at: 2015 National Conference on Health Statistics, August 25, 2015, Bethesda, MD. Available from: http://www.cdc.gov/nchs/ppt/nchs2015/Rossen_Tuesday_WhiteOak_BB3.pdf.\r\n\r\n6. Rossen LM, Bastian B, Warner M, and Khan D. NCHS – Drug Poisoning Mortality by County: United States, 1999-2015. Available from: https://data.cdc.gov/NCHS/NCHS-Drug-Poisoning-Mortality-by-County-United-Sta/pbkm-d27e.\r\n\r\n7. National Center for Health Statistics. County geog', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/NCHS-Drug-Poisoning-Mortality-by-County-United-Sta/p56q-jrxg'}"
NCHS - Drug Poisoning Mortality by County: United States,pbkm-d27e,pbkm-d27e_1736710364.271721_NCHS_-_Drug_Poisoning_Mortality_by_County__United_States_20250112.csv.gz,2025-01-12 19:32:44 UTC,https://data.cdc.gov/NCHS/NCHS-Drug-Poisoning-Mortality-by-County-United-Sta/pbkm-d27e,"This dataset describes drug poisoning deaths at the county level by selected demographic characteristics and includes age-adjusted death rates for drug poisoning from 1999 to 2015.

Deaths are classified using the International Classification of Diseases, Tenth Revision (ICD–10). Drug-poisoning deaths are defined as having ICD–10 underlying cause-of-death codes X40–X44 (unintentional), X60–X64 (suicide), X85 (homicide), or Y10–Y14 (undetermined intent).

Estimates are based on the National Vital Statistics System multiple cause-of-death mortality files (1). Age-adjusted death rates (deaths per 100,000 U.S. standard population for 2000) are calculated using the direct method. Populations used for computing death rates for 2011–2015 are postcensal estimates based on the 2010 U.S. census. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years before 2010 are revised using updated intercensal population estimates and may differ from rates previously published.

Estimate does not meet standards of reliability or precision. Death rates are flagged as “Unreliable” in the chart when the rate is calculated with a numerator of 20 or less.

Death rates for some states and years may be low due to a high number of unresolved pending cases or misclassification of ICD–10 codes for unintentional poisoning as R99, “Other ill-defined and unspecified causes of mortality” (2). For example, this issue is known to affect New Jersey in 2009 and West Virginia in 2005 and 2009 but also may affect other years and other states. Estimates should be interpreted with caution.

Smoothed county age-adjusted death rates (deaths per 100,000 population) were obtained according to methods described elsewhere (3–5). Briefly, two-stage hierarchical models were used to generate empirical Bayes estimates of county age-adjusted death rates due to drug poisoning for each year during 1999–2015. These annual county-level estimates “borrow strength” across counties to generate stable estimates of death rates where data are sparse due to small population size (3,5). Estimates are unavailable for Broomfield County, Colo., and Denali County, Alaska, before 2003 (6,7). Additionally, Bedford City, Virginia was added to Bedford County in 2015 and no longer appears in the mortality file in 2015. County boundaries are consistent with the vintage 2005-2007 bridged-race population file geographies (6).",,"{'name': 'NCHS - Drug Poisoning Mortality by County: United States', 'id': 'pbkm-d27e', 'description': 'This dataset describes drug poisoning deaths at the county level by selected demographic characteristics and includes age-adjusted death rates for drug poisoning from 1999 to 2015.\r\n\r\nDeaths are classified using the International Classification of Diseases, Tenth Revision (ICD–10). Drug-poisoning deaths are defined as having ICD–10 underlying cause-of-death codes X40–X44 (unintentional), X60–X64 (suicide), X85 (homicide), or Y10–Y14 (undetermined intent).\r\n\r\nEstimates are based on the National Vital Statistics System multiple cause-of-death mortality files (1). Age-adjusted death rates (deaths per 100,000 U.S. standard population for 2000) are calculated using the direct method. Populations used for computing death rates for 2011–2015 are postcensal estimates based on the 2010 U.S. census. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years before 2010 are revised using updated intercensal population estimates and may differ from rates previously published.\r\n\r\nEstimate does not meet standards of reliability or precision. Death rates are flagged as “Unreliable” in the chart when the rate is calculated with a numerator of 20 or less.\r\n\r\nDeath rates for some states and years may be low due to a high number of unresolved pending cases or misclassification of ICD–10 codes for unintentional poisoning as R99, “Other ill-defined and unspecified causes of mortality” (2). For example, this issue is known to affect New Jersey in 2009 and West Virginia in 2005 and 2009 but also may affect other years and other states. Estimates should be interpreted with caution.\r\n\r\nSmoothed county age-adjusted death rates (deaths per 100,000 population) were obtained according to methods described elsewhere (3–5). Briefly, two-stage hierarchical models were used to generate empirical Bayes estimates of county age-adjusted death rates due to drug poisoning for each year during 1999–2015. These annual county-level estimates “borrow strength” across counties to generate stable estimates of death rates where data are sparse due to small population size (3,5). Estimates are unavailable for Broomfield County, Colo., and Denali County, Alaska, before 2003 (6,7). Additionally, Bedford City, Virginia was added to Bedford County in 2015 and no longer appears in the mortality file in 2015. County boundaries are consistent with the vintage 2005-2007 bridged-race population file geographies (6).', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/NCHS-Drug-Poisoning-Mortality-by-County-United-Sta/pbkm-d27e'}"
NCHS - Drug Poisoning Mortality by County: United States,rpvx-m2md,rpvx-m2md_1736712925.927934_NCHS_-_Drug_Poisoning_Mortality_by_County__United_States_20250112.csv.gz,2025-01-12 20:15:25 UTC,https://data.cdc.gov/NCHS/NCHS-Drug-Poisoning-Mortality-by-County-United-Sta/rpvx-m2md,"This dataset describes drug poisoning deaths at the U.S. and state level by selected demographic characteristics, and includes age-adjusted death rates for drug poisoning. 

Deaths are classified using the International Classification of Diseases, Tenth Revision (ICD–10). Drug-poisoning deaths are defined as having ICD–10 underlying cause-of-death codes X40–X44 (unintentional), X60–X64 (suicide), X85 (homicide), or Y10–Y14 (undetermined intent).

Estimates are based on the National Vital Statistics System multiple cause-of-death mortality files (1). Age-adjusted death rates (deaths per 100,000 U.S. standard population for 2000) are calculated using the direct method. Populations used for computing death rates for 2011–2017 are postcensal estimates based on the 2010 U.S. census. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years before 2010 are revised using updated intercensal population estimates and may differ from rates previously published.

Death rates for some states and years may be low due to a high number of unresolved pending cases or misclassification of ICD–10 codes for unintentional poisoning as R99, “Other ill-defined and unspecified causes of mortality” (2). For example, this issue is known to affect New Jersey in 2009 and West Virginia in 2005 and 2009 but also may affect other years and other states. Drug poisoning death rates may be underestimated in those instances.

REFERENCES
1. National Center for Health Statistics. National Vital Statistics System: Mortality data. Available from: http://www.cdc.gov/nchs/deaths.htm.

2. CDC. CDC Wonder: Underlying cause of death 1999–2016. Available from: http://wonder.cdc.gov/wonder/help/ucd.html.",,"{'name': 'NCHS - Drug Poisoning Mortality by County: United States', 'id': 'rpvx-m2md', 'description': 'This dataset describes drug poisoning deaths at the U.S. and state level by selected demographic characteristics, and includes age-adjusted death rates for drug poisoning. \n\nDeaths are classified using the International Classification of Diseases, Tenth Revision (ICD–10). Drug-poisoning deaths are defined as having ICD–10 underlying cause-of-death codes X40–X44 (unintentional), X60–X64 (suicide), X85 (homicide), or Y10–Y14 (undetermined intent).\n\nEstimates are based on the National Vital Statistics System multiple cause-of-death mortality files (1). Age-adjusted death rates (deaths per 100,000 U.S. standard population for 2000) are calculated using the direct method. Populations used for computing death rates for 2011–2017 are postcensal estimates based on the 2010 U.S. census. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years before 2010 are revised using updated intercensal population estimates and may differ from rates previously published.\n\nDeath rates for some states and years may be low due to a high number of unresolved pending cases or misclassification of ICD–10 codes for unintentional poisoning as R99, “Other ill-defined and unspecified causes of mortality” (2). For example, this issue is known to affect New Jersey in 2009 and West Virginia in 2005 and 2009 but also may affect other years and other states. Drug poisoning death rates may be underestimated in those instances.\n\nREFERENCES\n1. National Center for Health Statistics. National Vital Statistics System: Mortality data. Available from: http://www.cdc.gov/nchs/deaths.htm.\n\n2. CDC. CDC Wonder: Underlying cause of death 1999–2016. Available from: http://wonder.cdc.gov/wonder/help/ucd.html.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/NCHS-Drug-Poisoning-Mortality-by-County-United-Sta/rpvx-m2md'}"
NCHS - Drug Poisoning Mortality by State: United States,44rk-q6r2,44rk-q6r2_1736720045.822824_NCHS_-_Drug_Poisoning_Mortality_by_State__United_States_20250112.csv.gz,2025-01-12 22:14:05 UTC,https://data.cdc.gov/NCHS/NCHS-Drug-Poisoning-Mortality-by-State-United-Stat/44rk-q6r2,"This dataset describes drug poisoning deaths at the U.S. and state level by selected demographic characteristics, and includes age-adjusted death rates for drug poisoning. 

Deaths are classified using the International Classification of Diseases, Tenth Revision (ICD–10). Drug-poisoning deaths are defined as having ICD–10 underlying cause-of-death codes X40–X44 (unintentional), X60–X64 (suicide), X85 (homicide), or Y10–Y14 (undetermined intent).

Estimates are based on the National Vital Statistics System multiple cause-of-death mortality files (1). Age-adjusted death rates (deaths per 100,000 U.S. standard population for 2000) are calculated using the direct method. Populations used for computing death rates for 2011–2017 are postcensal estimates based on the 2010 U.S. census. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years before 2010 are revised using updated intercensal population estimates and may differ from rates previously published.

Death rates for some states and years may be low due to a high number of unresolved pending cases or misclassification of ICD–10 codes for unintentional poisoning as R99, “Other ill-defined and unspecified causes of mortality” (2). For example, this issue is known to affect New Jersey in 2009 and West Virginia in 2005 and 2009 but also may affect other years and other states. Drug poisoning death rates may be underestimated in those instances.

REFERENCES
1. National Center for Health Statistics. National Vital Statistics System: Mortality data. Available from: http://www.cdc.gov/nchs/deaths.htm.

2. CDC. CDC Wonder: Underlying cause of death 1999–2016. Available from: http://wonder.cdc.gov/wonder/help/ucd.html.",,"{'name': 'NCHS - Drug Poisoning Mortality by State: United States', 'id': '44rk-q6r2', 'description': 'This dataset describes drug poisoning deaths at the U.S. and state level by selected demographic characteristics, and includes age-adjusted death rates for drug poisoning. \n\nDeaths are classified using the International Classification of Diseases, Tenth Revision (ICD–10). Drug-poisoning deaths are defined as having ICD–10 underlying cause-of-death codes X40–X44 (unintentional), X60–X64 (suicide), X85 (homicide), or Y10–Y14 (undetermined intent).\n\nEstimates are based on the National Vital Statistics System multiple cause-of-death mortality files (1). Age-adjusted death rates (deaths per 100,000 U.S. standard population for 2000) are calculated using the direct method. Populations used for computing death rates for 2011–2017 are postcensal estimates based on the 2010 U.S. census. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years before 2010 are revised using updated intercensal population estimates and may differ from rates previously published.\n\nDeath rates for some states and years may be low due to a high number of unresolved pending cases or misclassification of ICD–10 codes for unintentional poisoning as R99, “Other ill-defined and unspecified causes of mortality” (2). For example, this issue is known to affect New Jersey in 2009 and West Virginia in 2005 and 2009 but also may affect other years and other states. Drug poisoning death rates may be underestimated in those instances.\n\nREFERENCES\n1. National Center for Health Statistics. National Vital Statistics System: Mortality data. Available from: http://www.cdc.gov/nchs/deaths.htm.\n\n2. CDC. CDC Wonder: Underlying cause of death 1999–2016. Available from: http://wonder.cdc.gov/wonder/help/ucd.html.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/NCHS-Drug-Poisoning-Mortality-by-State-United-Stat/44rk-q6r2'}"
NCHS - Drug Poisoning Mortality by State: United States,jx6g-fdh6,jx6g-fdh6_1736712188.446491_NCHS_-_Drug_Poisoning_Mortality_by_State__United_States_20250112.csv.gz,2025-01-12 20:03:08 UTC,https://data.cdc.gov/NCHS/NCHS-Drug-Poisoning-Mortality-by-State-United-Stat/jx6g-fdh6,"This dataset describes drug poisoning deaths at the U.S. and state level by selected demographic characteristics, and includes age-adjusted death rates for drug poisoning from 1999 to 2015.

Deaths are classified using the International Classification of Diseases, Tenth Revision (ICD–10). Drug-poisoning deaths are defined as having ICD–10 underlying cause-of-death codes X40–X44 (unintentional), X60–X64 (suicide), X85 (homicide), or Y10–Y14 (undetermined intent).

Estimates are based on the National Vital Statistics System multiple cause-of-death mortality files (1). Age-adjusted death rates (deaths per 100,000 U.S. standard population for 2000) are calculated using the direct method. Populations used for computing death rates for 2011–2015 are postcensal estimates based on the 2010 U.S. census. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years before 2010 are revised using updated intercensal population estimates and may differ from rates previously published.

Estimate does not meet standards of reliability or precision. Death rates are flagged as “Unreliable” in the chart when the rate is calculated with a numerator of 20 or less.

Death rates for some states and years may be low due to a high number of unresolved pending cases or misclassification of ICD–10 codes for unintentional poisoning as R99, “Other ill-defined and unspecified causes of mortality” (2). For example, this issue is known to affect New Jersey in 2009 and West Virginia in 2005 and 2009 but also may affect other years and other states. Estimates should be interpreted with caution.

Smoothed county age-adjusted death rates (deaths per 100,000 population) were obtained according to methods described elsewhere (3–5). Briefly, two-stage hierarchical models were used to generate empirical Bayes estimates of county age-adjusted death rates due to drug poisoning for each year during 1999–2015. These annual county-level estimates “borrow strength” across counties to generate stable estimates of death rates where data are sparse due to small population size (3,5). Estimates are unavailable for Broomfield County, Colo., and Denali County, Alaska, before 2003 (6,7). Additionally, Bedford City, Virginia was added to Bedford County in 2015 and no longer appears in the mortality file in 2015. County boundaries are consistent with the vintage 2005-2007 bridged-race population file geographies (6).",,"{'name': 'NCHS - Drug Poisoning Mortality by State: United States', 'id': 'jx6g-fdh6', 'description': 'This dataset describes drug poisoning deaths at the U.S. and state level by selected demographic characteristics, and includes age-adjusted death rates for drug poisoning from 1999 to 2015.\r\n\r\nDeaths are classified using the International Classification of Diseases, Tenth Revision (ICD–10). Drug-poisoning deaths are defined as having ICD–10 underlying cause-of-death codes X40–X44 (unintentional), X60–X64 (suicide), X85 (homicide), or Y10–Y14 (undetermined intent).\r\n\r\nEstimates are based on the National Vital Statistics System multiple cause-of-death mortality files (1). Age-adjusted death rates (deaths per 100,000 U.S. standard population for 2000) are calculated using the direct method. Populations used for computing death rates for 2011–2015 are postcensal estimates based on the 2010 U.S. census. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years before 2010 are revised using updated intercensal population estimates and may differ from rates previously published.\r\n\r\nEstimate does not meet standards of reliability or precision. Death rates are flagged as “Unreliable” in the chart when the rate is calculated with a numerator of 20 or less.\r\n\r\nDeath rates for some states and years may be low due to a high number of unresolved pending cases or misclassification of ICD–10 codes for unintentional poisoning as R99, “Other ill-defined and unspecified causes of mortality” (2). For example, this issue is known to affect New Jersey in 2009 and West Virginia in 2005 and 2009 but also may affect other years and other states. Estimates should be interpreted with caution.\r\n\r\nSmoothed county age-adjusted death rates (deaths per 100,000 population) were obtained according to methods described elsewhere (3–5). Briefly, two-stage hierarchical models were used to generate empirical Bayes estimates of county age-adjusted death rates due to drug poisoning for each year during 1999–2015. These annual county-level estimates “borrow strength” across counties to generate stable estimates of death rates where data are sparse due to small population size (3,5). Estimates are unavailable for Broomfield County, Colo., and Denali County, Alaska, before 2003 (6,7). Additionally, Bedford City, Virginia was added to Bedford County in 2015 and no longer appears in the mortality file in 2015. County boundaries are consistent with the vintage 2005-2007 bridged-race population file geographies (6).', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/NCHS-Drug-Poisoning-Mortality-by-State-United-Stat/jx6g-fdh6'}"
NCHS - Drug Poisoning Mortality by State: United States,xbxb-epbu,xbxb-epbu_1736711765.214750_NCHS_-_Drug_Poisoning_Mortality_by_State__United_States_20250112.csv.gz,2025-01-12 19:56:05 UTC,https://data.cdc.gov/NCHS/NCHS-Drug-Poisoning-Mortality-by-State-United-Stat/xbxb-epbu,"This dataset describes drug poisoning deaths at the U.S. and state level by selected demographic characteristics, and includes age-adjusted death rates for drug poisoning. 

Deaths are classified using the International Classification of Diseases, Tenth Revision (ICD–10). Drug-poisoning deaths are defined as having ICD–10 underlying cause-of-death codes X40–X44 (unintentional), X60–X64 (suicide), X85 (homicide), or Y10–Y14 (undetermined intent).

Estimates are based on the National Vital Statistics System multiple cause-of-death mortality files (1). Age-adjusted death rates (deaths per 100,000 U.S. standard population for 2000) are calculated using the direct method. Populations used for computing death rates for 2011–2016 are postcensal estimates based on the 2010 U.S. census. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years before 2010 are revised using updated intercensal population estimates and may differ from rates previously published.

Death rates for some states and years may be low due to a high number of unresolved pending cases or misclassification of ICD–10 codes for unintentional poisoning as R99, “Other ill-defined and unspecified causes of mortality” (2). For example, this issue is known to affect New Jersey in 2009 and West Virginia in 2005 and 2009 but also may affect other years and other states. Drug poisoning death rates may be underestimated in those instances.

REFERENCES
1. National Center for Health Statistics. National Vital Statistics System: Mortality data. Available from: http://www.cdc.gov/nchs/deaths.htm.

2. CDC. CDC Wonder: Underlying cause of death 1999–2016. Available from: http://wonder.cdc.gov/wonder/help/ucd.html.",,"{'name': 'NCHS - Drug Poisoning Mortality by State: United States', 'id': 'xbxb-epbu', 'description': 'This dataset describes drug poisoning deaths at the U.S. and state level by selected demographic characteristics, and includes age-adjusted death rates for drug poisoning. \r\n\r\nDeaths are classified using the International Classification of Diseases, Tenth Revision (ICD–10). Drug-poisoning deaths are defined as having ICD–10 underlying cause-of-death codes X40–X44 (unintentional), X60–X64 (suicide), X85 (homicide), or Y10–Y14 (undetermined intent).\r\n\r\nEstimates are based on the National Vital Statistics System multiple cause-of-death mortality files (1). Age-adjusted death rates (deaths per 100,000 U.S. standard population for 2000) are calculated using the direct method. Populations used for computing death rates for 2011–2016 are postcensal estimates based on the 2010 U.S. census. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years before 2010 are revised using updated intercensal population estimates and may differ from rates previously published.\r\n\r\nDeath rates for some states and years may be low due to a high number of unresolved pending cases or misclassification of ICD–10 codes for unintentional poisoning as R99, “Other ill-defined and unspecified causes of mortality” (2). For example, this issue is known to affect New Jersey in 2009 and West Virginia in 2005 and 2009 but also may affect other years and other states. Drug poisoning death rates may be underestimated in those instances.\r\n\r\nREFERENCES\r\n1. National Center for Health Statistics. National Vital Statistics System: Mortality data. Available from: http://www.cdc.gov/nchs/deaths.htm.\r\n\r\n2. CDC. CDC Wonder: Underlying cause of death 1999–2016. Available from: http://wonder.cdc.gov/wonder/help/ucd.html.', 'datatype': 'tabular', 'keywords': ['demographics', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/NCHS-Drug-Poisoning-Mortality-by-State-United-Stat/xbxb-epbu'}"
"NCHS - Infant Mortality Rates, by Race: United States, 1915-2013",ddsk-zebd,ddsk-zebd_1736719010.157280_NCHS_-_Infant_Mortality_Rates__by_Race__United_States__1915-2013_20250112.csv.gz,2025-01-12 21:56:50 UTC,https://data.cdc.gov/NCHS/NCHS-Infant-Mortality-Rates-by-Race-United-States-/ddsk-zebd,"All birth data by race before 1980 are based on race of the child; starting in 1980, birth data by race are based on race of the mother. Birth data are used to calculate infant mortality rate.

https://www.cdc.gov/nchs/data-visualization/mortality-trends/",,"{'name': 'NCHS - Infant Mortality Rates, by Race: United States, 1915-2013', 'id': 'ddsk-zebd', 'description': 'All birth data by race before 1980 are based on race of the child; starting in 1980, birth data by race are based on race of the mother. Birth data are used to calculate infant mortality rate.\r\n\r\nhttps://www.cdc.gov/nchs/data-visualization/mortality-trends/', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/NCHS-Infant-Mortality-Rates-by-Race-United-States-/ddsk-zebd'}"
"NCHS - Infant and neonatal mortality rates: United States, 1915-2013",epev-k6ss,epev-k6ss_1736711494.785700_NCHS_-_Infant_and_neonatal_mortality_rates__United_States__1915-2013_20250112.csv.gz,2025-01-12 19:51:34 UTC,https://data.cdc.gov/NCHS/NCHS-Infant-and-neonatal-mortality-rates-United-St/epev-k6ss,"Rates are infants (under 1 year) and neonatal (under 28 days) deaths per 1,000 live births.

https://www.cdc.gov/nchs/data-visualization/mortality-trends/",,"{'name': 'NCHS - Infant and neonatal mortality rates: United States, 1915-2013', 'id': 'epev-k6ss', 'description': 'Rates are infants (under 1 year) and neonatal (under 28 days) deaths per 1,000 live births.\r\n\r\nhttps://www.cdc.gov/nchs/data-visualization/mortality-trends/', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/NCHS-Infant-and-neonatal-mortality-rates-United-St/epev-k6ss'}"
NCHS - Injury Mortality: United States,nt65-c7a7,nt65-c7a7_1736712202.150973_NCHS_-_Injury_Mortality__United_States_20250112.csv.gz,2025-01-12 20:03:22 UTC,https://data.cdc.gov/NCHS/NCHS-Injury-Mortality-United-States/nt65-c7a7,"This dataset describes injury mortality in the United States beginning in 1999. Two concepts are included in the circumstances of an injury death: intent of injury and mechanism of injury. Intent of injury describes whether the injury was inflicted purposefully (intentional injury) and, if purposeful, whether the injury was self-inflicted (suicide or self-harm) or inflicted by another person (homicide). Injuries that were not purposefully inflicted are considered unintentional (accidental) injuries. Mechanism of injury describes the source of the energy transfer that resulted in physical or physiological harm to the body. Examples of mechanisms of injury include falls, motor vehicle traffic crashes, burns, poisonings, and drownings (1,2). 

Data are based on information from all resident death certificates filed in the 50 states and the District of Columbia. Age-adjusted death rates (per 100,000 standard population) are based on the 2000 U.S. standard population. Populations used for computing death rates for 2011–2015 are postcensal estimates based on the 2010 census, estimated as of July 1, 2010. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for non-census years before 2010 are revised using updated intercensal population estimates and may differ from rates previously published.

Causes of injury death are classified by the International Classification of Diseases, Tenth Revision (ICD–10). Categories of injury intent and injury mechanism generally follow the categories in the external-cause-of-injury mortality matrix (1,2). Cause-of-death statistics are based on the underlying cause of death.

SOURCES

CDC/NCHS, National Vital Statistics System, mortality data (see http://www.cdc.gov/nchs/deaths.htm); and CDC WONDER (see http://wonder.cdc.gov).

REFERENCES 

1. National Center for Health Statistics. ICD–10: External cause of injury mortality matrix.

2. National Center for Health Statistics. Vital statistics data available. Mortality multiple cause files. Hyattsville, MD: National Center for Health Statistics. Available from: https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm.

3. Murphy SL, Xu JQ, Kochanek KD, Curtin SC, and Arias E. Deaths: Final data for 2015. National vital statistics reports; vol 66. no. 6. Hyattsville, MD: National Center for Health Statistics. 2017. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr66/nvsr66_06.pdf.

4. Miniño AM, Anderson RN, Fingerhut LA, Boudreault MA, Warner M. Deaths: Injuries, 2002. National vital statistics reports; vol 54 no 10. Hyattsville, MD: National Center for Health Statistics. 2006.",,"{'name': 'NCHS - Injury Mortality: United States', 'id': 'nt65-c7a7', 'description': 'This dataset describes injury mortality in the United States beginning in 1999. Two concepts are included in the circumstances of an injury death: intent of injury and mechanism of injury. Intent of injury describes whether the injury was inflicted purposefully (intentional injury) and, if purposeful, whether the injury was self-inflicted (suicide or self-harm) or inflicted by another person (homicide). Injuries that were not purposefully inflicted are considered unintentional (accidental) injuries. Mechanism of injury describes the source of the energy transfer that resulted in physical or physiological harm to the body. Examples of mechanisms of injury include falls, motor vehicle traffic crashes, burns, poisonings, and drownings (1,2). \r\n\r\nData are based on information from all resident death certificates filed in the 50 states and the District of Columbia. Age-adjusted death rates (per 100,000 standard population) are based on the 2000 U.S. standard population. Populations used for computing death rates for 2011–2015 are postcensal estimates based on the 2010 census, estimated as of July 1, 2010. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for non-census years before 2010 are revised using updated intercensal population estimates and may differ from rates previously published.\r\n\r\nCauses of injury death are classified by the International Classification of Diseases, Tenth Revision (ICD–10). Categories of injury intent and injury mechanism generally follow the categories in the external-cause-of-injury mortality matrix (1,2). Cause-of-death statistics are based on the underlying cause of death.\r\n\r\nSOURCES\r\n\r\nCDC/NCHS, National Vital Statistics System, mortality data (see http://www.cdc.gov/nchs/deaths.htm); and CDC WONDER (see http://wonder.cdc.gov).\r\n\r\nREFERENCES \r\n\r\n1. National Center for Health Statistics. ICD–10: External cause of injury mortality matrix.\r\n\r\n2. National Center for Health Statistics. Vital statistics data available. Mortality multiple cause files. Hyattsville, MD: National Center for Health Statistics. Available from: https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm.\r\n\r\n3. Murphy SL, Xu JQ, Kochanek KD, Curtin SC, and Arias E. Deaths: Final data for 2015. National vital statistics reports; vol 66. no. 6. Hyattsville, MD: National Center for Health Statistics. 2017. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr66/nvsr66_06.pdf.\r\n\r\n4. Miniño AM, Anderson RN, Fingerhut LA, Boudreault MA, Warner M. Deaths: Injuries, 2002. National vital statistics reports; vol 54 no 10. Hyattsville, MD: National Center for Health Statistics. 2006.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/NCHS-Injury-Mortality-United-States/nt65-c7a7'}"
NCHS - Injury Mortality: United States,vc9m-u7tv,vc9m-u7tv_1736721719.407584_NCHS_-_Injury_Mortality__United_States_20250112.csv.gz,2025-01-12 22:41:59 UTC,https://data.cdc.gov/NCHS/NCHS-Injury-Mortality-United-States/vc9m-u7tv,"This dataset describes injury mortality in the United States beginning in 1999. Two concepts are included in the circumstances of an injury death: intent of injury and mechanism of injury. Intent of injury describes whether the injury was inflicted purposefully (intentional injury) and, if purposeful, whether the injury was self-inflicted (suicide or self-harm) or inflicted by another person (homicide). Injuries that were not purposefully inflicted are considered unintentional (accidental) injuries. Mechanism of injury describes the source of the energy transfer that resulted in physical or physiological harm to the body.",,"{'name': 'NCHS - Injury Mortality: United States', 'id': 'vc9m-u7tv', 'description': 'This dataset describes injury mortality in the United States beginning in 1999. Two concepts are included in the circumstances of an injury death: intent of injury and mechanism of injury. Intent of injury describes whether the injury was inflicted purposefully (intentional injury) and, if purposeful, whether the injury was self-inflicted (suicide or self-harm) or inflicted by another person (homicide). Injuries that were not purposefully inflicted are considered unintentional (accidental) injuries. Mechanism of injury describes the source of the energy transfer that resulted in physical or physiological harm to the body.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/NCHS-Injury-Mortality-United-States/vc9m-u7tv'}"
NCHS - Leading Causes of Death: United States,bi63-dtpu,bi63-dtpu_1736708260.943841_NCHS_-_Leading_Causes_of_Death__United_States_20250112.csv.gz,2025-01-12 18:57:40 UTC,https://data.cdc.gov/NCHS/NCHS-Leading-Causes-of-Death-United-States/bi63-dtpu,"This dataset presents the age-adjusted death rates for the 10 leading causes of death in the United States beginning in 1999.

Data are based on information from all resident death certificates filed in the 50 states and the District of Columbia using demographic and medical characteristics. Age-adjusted death rates (per 100,000 population) are based on the 2000 U.S. standard population. Populations used for computing death rates after 2010 are postcensal estimates based on the 2010 census, estimated as of July 1, 2010. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for non-census years before 2010 are revised using updated intercensal population estimates and may differ from rates previously published.

Causes of death classified by the International Classification of Diseases, Tenth Revision (ICD–10) are ranked according to the number of deaths assigned to rankable causes. Cause of death statistics are based on the underlying cause of death.

SOURCES
CDC/NCHS, National Vital Statistics System, mortality data (see http://www.cdc.gov/nchs/deaths.htm); and CDC WONDER (see http://wonder.cdc.gov).

REFERENCES

1. National Center for Health Statistics. Vital statistics data available. Mortality multiple cause files. Hyattsville, MD: National Center for Health Statistics. Available from: https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm.

2. Murphy SL, Xu JQ, Kochanek KD, Curtin SC, and Arias E. Deaths: Final data for 2015. National vital statistics reports; vol 66. no. 6. Hyattsville, MD: National Center for Health Statistics. 2017. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr66/nvsr66_06.pdf.",,"{'name': 'NCHS - Leading Causes of Death: United States', 'id': 'bi63-dtpu', 'description': 'This dataset presents the age-adjusted death rates for the 10 leading causes of death in the United States beginning in 1999.\r\n\r\nData are based on information from all resident death certificates filed in the 50 states and the District of Columbia using demographic and medical characteristics. Age-adjusted death rates (per 100,000 population) are based on the 2000 U.S. standard population. Populations used for computing death rates after 2010 are postcensal estimates based on the 2010 census, estimated as of July 1, 2010. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for non-census years before 2010 are revised using updated intercensal population estimates and may differ from rates previously published.\r\n\r\nCauses of death classified by the International Classification of Diseases, Tenth Revision (ICD–10) are ranked according to the number of deaths assigned to rankable causes. Cause of death statistics are based on the underlying cause of death.\r\n\r\nSOURCES\r\nCDC/NCHS, National Vital Statistics System, mortality data (see http://www.cdc.gov/nchs/deaths.htm); and CDC WONDER (see http://wonder.cdc.gov).\r\n\r\nREFERENCES\r\n\r\n1. National Center for Health Statistics. Vital statistics data available. Mortality multiple cause files. Hyattsville, MD: National Center for Health Statistics. Available from: https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm.\r\n\r\n2. Murphy SL, Xu JQ, Kochanek KD, Curtin SC, and Arias E. Deaths: Final data for 2015. National vital statistics reports; vol 66. no. 6. Hyattsville, MD: National Center for Health Statistics. 2017. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr66/nvsr66_06.pdf.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/NCHS-Leading-Causes-of-Death-United-States/bi63-dtpu'}"
NCHS - Natality Measures for Females by Hispanic Origin Subgroup: United States,s54h-bixi,s54h-bixi_1736726627.826367_NCHS_-_Natality_Measures_for_Females_by_Hispanic_Origin_Subgroup__United_States_20250113.csv.gz,2025-01-13 00:03:47 UTC,https://data.cdc.gov/NCHS/NCHS-Natality-Measures-for-Females-by-Hispanic-Ori/s54h-bixi,"This dataset includes live births, birth rates, and fertility rates by Hispanic origin of mother in the United States since 1989. 

National data on births by Hispanic origin exclude data for Louisiana, New Hampshire, and Oklahoma in 1989; New Hampshire and Oklahoma in 1990; and New Hampshire in 1991 and 1992. Birth and fertility rates for the Central and South American population includes other and unknown Hispanic. Information on reporting Hispanic origin is detailed in the Technical Appendix for the 1999 public-use natality data file (see ftp://ftp.cdc.gov/pub/Health_Statistics/NCHS/Dataset_Documentation/DVS/natality/Nat1999doc.pdf).",,"{'name': 'NCHS - Natality Measures for Females by Hispanic Origin Subgroup: United States', 'id': 's54h-bixi', 'description': 'This dataset includes live births, birth rates, and fertility rates by Hispanic origin of mother in the United States since 1989. \n\nNational data on births by Hispanic origin exclude data for Louisiana, New Hampshire, and Oklahoma in 1989; New Hampshire and Oklahoma in 1990; and New Hampshire in 1991 and 1992. Birth and fertility rates for the Central and South American population includes other and unknown Hispanic. Information on reporting Hispanic origin is detailed in the Technical Appendix for the 1999 public-use natality data file (see ftp://ftp.cdc.gov/pub/Health_Statistics/NCHS/Dataset_Documentation/DVS/natality/Nat1999doc.pdf).', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/NCHS-Natality-Measures-for-Females-by-Hispanic-Ori/s54h-bixi'}"
NCHS - Natality Measures for Females by Race and Hispanic Origin: United States,89yk-m38d,89yk-m38d_1736719708.813270_NCHS_-_Natality_Measures_for_Females_by_Race_and_Hispanic_Origin__United_States_20250112.csv.gz,2025-01-12 22:08:28 UTC,https://data.cdc.gov/NCHS/NCHS-Natality-Measures-for-Females-by-Race-and-His/89yk-m38d,"This dataset includes live births, birth rates, and fertility rates by race of mother in the United States since 1960. 

Data availability varies by race and ethnicity groups. All birth data by race before 1980 are based on race of the child. Since 1980, birth data by race are based on race of the mother. For race, data are available for Black and White births since 1960, and for American Indians/Alaska Native and Asian/Pacific Islander births since 1980. Data on Hispanic origin are available since 1989. Teen birth rates for specific racial and ethnic categories are also available since 1989. From 2003 through 2015, the birth data by race were based on the “bridged” race categories (5). Starting in 2016, the race categories for reporting birth data changed; the new race and Hispanic origin categories are: Non-Hispanic, Single Race White; Non-Hispanic, Single Race Black; Non-Hispanic, Single Race American Indian/Alaska Native; Non-Hispanic, Single Race Asian; and, Non-Hispanic, Single Race Native Hawaiian/Pacific Islander (5,6). Birth data by the prior, “bridged” race (and Hispanic origin) categories are included through 2018 for comparison.

SOURCES

NCHS, National Vital Statistics System, birth data (see https://www.cdc.gov/nchs/births.htm); public-use data files (see https://www.cdc.gov/nchs/data_access/VitalStatsOnline.htm); and CDC WONDER (see http://wonder.cdc.gov/).

REFERENCES

1. National Office of Vital Statistics. Vital Statistics of the United States, 1950, Volume I. 1954. Available from: https://www.cdc.gov/nchs/data/vsus/vsus_1950_1.pdf.

2. Hetzel AM. U.S. vital statistics system: major activities and developments, 1950-95. National Center for Health Statistics. 1997. Available from: https://www.cdc.gov/nchs/data/misc/usvss.pdf.

3. National Center for Health Statistics. Vital Statistics of the United States, 1967, Volume I–Natality. 1969. Available from: https://www.cdc.gov/nchs/data/vsus/nat67_1.pdf.

4. Martin JA, Hamilton BE, Osterman MJK, et al. Births: Final data for 2015. National vital statistics reports; vol 66 no 1. Hyattsville, MD: National Center for Health Statistics. 2017. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr66/nvsr66_01.pdf.

5. Martin JA, Hamilton BE, Osterman MJK, Driscoll AK, Drake P. Births: Final data for 2016. National Vital Statistics Reports; vol 67 no 1. Hyattsville, MD: National Center for Health Statistics. 2018. Available from: https://www.cdc.gov/nvsr/nvsr67/nvsr67_01.pdf.

6. Martin JA, Hamilton BE, Osterman MJK, Driscoll AK, Births: Final data for 2018. National vital statistics reports; vol 68 no 13. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_13.pdf.",,"{'name': 'NCHS - Natality Measures for Females by Race and Hispanic Origin: United States', 'id': '89yk-m38d', 'description': 'This dataset includes live births, birth rates, and fertility rates by race of mother in the United States since 1960. \n\nData availability varies by race and ethnicity groups. All birth data by race before 1980 are based on race of the child. Since 1980, birth data by race are based on race of the mother. For race, data are available for Black and White births since 1960, and for American Indians/Alaska Native and Asian/Pacific Islander births since 1980. Data on Hispanic origin are available since 1989. Teen birth rates for specific racial and ethnic categories are also available since 1989. From 2003 through 2015, the birth data by race were based on the “bridged” race categories (5). Starting in 2016, the race categories for reporting birth data changed; the new race and Hispanic origin categories are: Non-Hispanic, Single Race White; Non-Hispanic, Single Race Black; Non-Hispanic, Single Race American Indian/Alaska Native; Non-Hispanic, Single Race Asian; and, Non-Hispanic, Single Race Native Hawaiian/Pacific Islander (5,6). Birth data by the prior, “bridged” race (and Hispanic origin) categories are included through 2018 for comparison.\n\nSOURCES\n\nNCHS, National Vital Statistics System, birth data (see https://www.cdc.gov/nchs/births.htm); public-use data files (see https://www.cdc.gov/nchs/data_access/VitalStatsOnline.htm); and CDC WONDER (see http://wonder.cdc.gov/).\n\nREFERENCES\n\n1. National Office of Vital Statistics. Vital Statistics of the United States, 1950, Volume I. 1954. Available from: https://www.cdc.gov/nchs/data/vsus/vsus_1950_1.pdf.\n\n2. Hetzel AM. U.S. vital statistics system: major activities and developments, 1950-95. National Center for Health Statistics. 1997. Available from: https://www.cdc.gov/nchs/data/misc/usvss.pdf.\n\n3. National Center for Health Statistics. Vital Statistics of the United States, 1967, Volume I–Natality. 1969. Available from: https://www.cdc.gov/nchs/data/vsus/nat67_1.pdf.\n\n4. Martin JA, Hamilton BE, Osterman MJK, et al. Births: Final data for 2015. National vital statistics reports; vol 66 no 1. Hyattsville, MD: National Center for Health Statistics. 2017. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr66/nvsr66_01.pdf.\n\n5. Martin JA, Hamilton BE, Osterman MJK, Driscoll AK, Drake P. Births: Final data for 2016. National Vital Statistics Reports; vol 67 no 1. Hyattsville, MD: National Center for Health Statistics. 2018. Available from: https://www.cdc.gov/nvsr/nvsr67/nvsr67_01.pdf.\n\n6. Martin JA, Hamilton BE, Osterman MJK, Driscoll AK, Births: Final data for 2018. National vital statistics reports; vol 68 no 13. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_13.pdf.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/NCHS-Natality-Measures-for-Females-by-Race-and-His/89yk-m38d'}"
"NCHS - Nonmarital Birth Rates, by Age Group for All Women Age 15-44: United States, 1970-2013",jvf6-ix4w,jvf6-ix4w_1736727613.448557_NCHS_-_Nonmarital_Birth_Rates__by_Age_Group_for_All_Women_Age_15-44__United_States__1970-2013_20250113.csv.gz,2025-01-13 00:20:13 UTC,https://data.cdc.gov/NCHS/NCHS-Nonmarital-Birth-Rates-by-Age-Group-for-All-W/jvf6-ix4w,https://www.cdc.gov/nchs/data-visualization/births-to-unmarried-women/index.htm,"<https://data.cdc.gov/NCHS/NCHS-Nonmarital-Birth-Rates-by-Age-Group-for-All-W/jvf6-ix4w>; rel=""original"",
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","{'name': 'NCHS - Nonmarital Birth Rates, by Age Group for All Women Age 15-44: United States, 1970-2013', 'id': 'jvf6-ix4w', 'description': 'https://www.cdc.gov/nchs/data-visualization/births-to-unmarried-women/index.htm', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/NCHS-Nonmarital-Birth-Rates-by-Age-Group-for-All-W/jvf6-ix4w'}"
NCHS - Percent Distribution of Births for Females by Age Group: United States,isx2-c2ii,isx2-c2ii_1736723709.078264_NCHS_-_Percent_Distribution_of_Births_for_Females_by_Age_Group__United_States_20250112.csv.gz,2025-01-12 23:15:09 UTC,https://data.cdc.gov/NCHS/NCHS-Percent-Distribution-of-Births-for-Females-by/isx2-c2ii,"This dataset includes percent distribution of births for females by age group in the United States since 1933.

The number of states in the reporting area differ historically. In 1915 (when the birth registration area was established), 10 states and the District of Columbia reported births; by 1933, 48 states and the District of Columbia were reporting births, with the last two states, Alaska and Hawaii, added to the registration area in 1959 and 1960, when these regions gained statehood. Reporting area information is detailed in references 1 and 2 below. Trend lines for 1909–1958 are based on live births adjusted for under-registration; beginning with 1959, trend lines are based on registered live births.",,"{'name': 'NCHS - Percent Distribution of Births for Females by Age Group: United States', 'id': 'isx2-c2ii', 'description': 'This dataset includes percent distribution of births for females by age group in the United States since 1933.\n\nThe number of states in the reporting area differ historically. In 1915 (when the birth registration area was established), 10 states and the District of Columbia reported births; by 1933, 48 states and the District of Columbia were reporting births, with the last two states, Alaska and Hawaii, added to the registration area in 1959 and 1960, when these regions gained statehood. Reporting area information is detailed in references 1 and 2 below. Trend lines for 1909–1958 are based on live births adjusted for under-registration; beginning with 1959, trend lines are based on registered live births.', 'datatype': 'tabular', 'keywords': ['health', 'demographics', 'infrastructure', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/NCHS-Percent-Distribution-of-Births-for-Females-by/isx2-c2ii'}"
NCHS - Percent Distribution of Births to Unmarried Women by Age Group: United States,hzd8-r9mj,hzd8-r9mj_1736727670.231188_NCHS_-_Percent_Distribution_of_Births_to_Unmarried_Women_by_Age_Group__United_States_20250113.csv.gz,2025-01-13 00:21:10 UTC,https://data.cdc.gov/NCHS/NCHS-Percent-Distribution-of-Births-to-Unmarried-W/hzd8-r9mj,"This dataset includes percent distribution of births to unmarried women by age group in the United States since 1970.

Methods for collecting information on marital status changed over the reporting period and have been documented in:

• Ventura SJ, Bachrach CA. Nonmarital childbearing in the United States, 1940–99. National vital statistics reports; vol 48 no 16. Hyattsville, Maryland: National Center for Health Statistics. 2000. Available from: http://www.cdc.gov/nchs/data/nvsr/nvsr48/nvs48_16.pdf.
• National Center for Health Statistics. User guide to the 2013 natality public use file. Hyattsville, Maryland: National Center for Health Statistics. 2014. Available from: http://www.cdc.gov/nchs/data_access/VitalStatsOnline.htm.",,"{'name': 'NCHS - Percent Distribution of Births to Unmarried Women by Age Group: United States', 'id': 'hzd8-r9mj', 'description': 'This dataset includes percent distribution of births to unmarried women by age group in the United States since 1970.\n\nMethods for collecting information on marital status changed over the reporting period and have been documented in:\n\n• Ventura SJ, Bachrach CA. Nonmarital childbearing in the United States, 1940–99. National vital statistics reports; vol 48 no 16. Hyattsville, Maryland: National Center for Health Statistics. 2000. Available from: http://www.cdc.gov/nchs/data/nvsr/nvsr48/nvs48_16.pdf.\n• National Center for Health Statistics. User guide to the 2013 natality public use file. Hyattsville, Maryland: National Center for Health Statistics. 2014. Available from: http://www.cdc.gov/nchs/data_access/VitalStatsOnline.htm.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/NCHS-Percent-Distribution-of-Births-to-Unmarried-W/hzd8-r9mj'}"
NCHS - Potentially Excess Deaths from the Five Leading Causes of Death,vdpk-qzpr,vdpk-qzpr_1736713071.284242_NCHS_-_Potentially_Excess_Deaths_from_the_Five_Leading_Causes_of_Death_20250112.csv.gz,2025-01-12 20:17:51 UTC,https://data.cdc.gov/NCHS/NCHS-Potentially-Excess-Deaths-from-the-Five-Leadi/vdpk-qzpr,"MMWR Surveillance Summary 66 (No. SS-1):1-8 found that nonmetropolitan areas have significant numbers of potentially excess deaths from the five leading causes of death. These figures accompany this report by presenting information on potentially excess deaths in nonmetropolitan and metropolitan areas at the state level. They also add additional years of data and options for selecting different age ranges and benchmarks.

Potentially excess deaths are defined in MMWR Surveillance Summary 66(No. SS-1):1-8 as deaths that exceed the numbers that would be expected if the death rates of states with the lowest rates (benchmarks) occurred across all states. They are calculated by subtracting expected deaths for specific benchmarks from observed deaths.

Not all potentially excess deaths can be prevented; some areas might have characteristics that predispose them to higher rates of death. However, many potentially excess deaths might represent deaths that could be prevented through improved public health programs that support healthier behaviors and neighborhoods or better access to health care services.

Mortality data for U.S. residents come from the National Vital Statistics System. Estimates based on fewer than 10 observed deaths are not shown and shaded yellow on the map.

Underlying cause of death is based on the International Classification of Diseases, 10th Revision (ICD-10)

Heart disease (I00-I09, I11, I13, and I20–I51)
Cancer (C00–C97)
Unintentional injury (V01–X59 and Y85–Y86)
Chronic lower respiratory disease (J40–J47)
Stroke (I60–I69)
Locality (nonmetropolitan vs. metropolitan) is based on the Office of Management and Budget’s 2013 county-based classification scheme.

Benchmarks are based on the three states with the lowest age and cause-specific mortality rates.

Potentially excess deaths for each state are calculated by subtracting deaths at the benchmark rates (expected deaths) from observed deaths.

Users can explore three benchmarks:

“2010 Fixed” is a fixed benchmark based on the best performing States in 2010.
“2005 Fixed” is a fixed benchmark based on the best performing States in 2005.
“Floating” is based on the best performing States in each year so change from year to year.
 
SOURCES

CDC/NCHS, National Vital Statistics System, mortality data (see http://www.cdc.gov/nchs/deaths.htm); and CDC WONDER (see http://wonder.cdc.gov).

REFERENCES 

1. Moy E, Garcia MC, Bastian B, Rossen LM, Ingram DD, Faul M, Massetti GM, Thomas CC, Hong Y, Yoon PW, Iademarco MF. Leading Causes of Death in Nonmetropolitan and Metropolitan Areas – United States, 1999-2014. MMWR Surveillance Summary 2017; 66(No. SS-1):1-8.

2. Garcia MC, Faul M, Massetti G, Thomas CC, Hong Y, Bauer UE, Iademarco MF. Reducing Potentially Excess Deaths from the Five Leading Causes of Death in the Rural United States. MMWR Surveillance Summary 2017; 66(No. SS-2):1–7.",,"{'name': 'NCHS - Potentially Excess Deaths from the Five Leading Causes of Death', 'id': 'vdpk-qzpr', 'description': 'MMWR Surveillance Summary 66 (No. SS-1):1-8 found that nonmetropolitan areas have significant numbers of potentially excess deaths from the five leading causes of death. These figures accompany this report by presenting information on potentially excess deaths in nonmetropolitan and metropolitan areas at the state level. They also add additional years of data and options for selecting different age ranges and benchmarks.\r\n\r\nPotentially excess deaths are defined in MMWR Surveillance Summary 66(No. SS-1):1-8 as deaths that exceed the numbers that would be expected if the death rates of states with the lowest rates (benchmarks) occurred across all states. They are calculated by subtracting expected deaths for specific benchmarks from observed deaths.\r\n\r\nNot all potentially excess deaths can be prevented; some areas might have characteristics that predispose them to higher rates of death. However, many potentially excess deaths might represent deaths that could be prevented through improved public health programs that support healthier behaviors and neighborhoods or better access to health care services.\r\n\r\nMortality data for U.S. residents come from the National Vital Statistics System. Estimates based on fewer than 10 observed deaths are not shown and shaded yellow on the map.\r\n\r\nUnderlying cause of death is based on the International Classification of Diseases, 10th Revision (ICD-10)\r\n\r\nHeart disease (I00-I09, I11, I13, and I20–I51)\r\nCancer (C00–C97)\r\nUnintentional injury (V01–X59 and Y85–Y86)\r\nChronic lower respiratory disease (J40–J47)\r\nStroke (I60–I69)\r\nLocality (nonmetropolitan vs. metropolitan) is based on the Office of Management and Budget’s 2013 county-based classification scheme.\r\n\r\nBenchmarks are based on the three states with the lowest age and cause-specific mortality rates.\r\n\r\nPotentially excess deaths for each state are calculated by subtracting deaths at the benchmark rates (expected deaths) from observed deaths.\r\n\r\nUsers can explore three benchmarks:\r\n\r\n“2010 Fixed” is a fixed benchmark based on the best performing States in 2010.\r\n“2005 Fixed” is a fixed benchmark based on the best performing States in 2005.\r\n“Floating” is based on the best performing States in each year so change from year to year.\r\n \r\nSOURCES\r\n\r\nCDC/NCHS, National Vital Statistics System, mortality data (see http://www.cdc.gov/nchs/deaths.htm); and CDC WONDER (see http://wonder.cdc.gov).\r\n\r\nREFERENCES \r\n\r\n1. Moy E, Garcia MC, Bastian B, Rossen LM, Ingram DD, Faul M, Massetti GM, Thomas CC, Hong Y, Yoon PW, Iademarco MF. Leading Causes of Death in Nonmetropolitan and Metropolitan Areas – United States, 1999-2014. MMWR Surveillance Summary 2017; 66(No. SS-1):1-8.\r\n\r\n2. Garcia MC, Faul M, Massetti G, Thomas CC, Hong Y, Bauer UE, Iademarco MF. Reducing Potentially Excess Deaths from the Five Leading Causes of Death in the Rural United States. MMWR Surveillance Summary 2017; 66(No. SS-2):1–7.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/NCHS-Potentially-Excess-Deaths-from-the-Five-Leadi/vdpk-qzpr'}"
"NCHS - Pregnancy Rates, by Age for Hispanic Women: United States, 1990-2010",hdy7-e2a3,hdy7-e2a3_1736727813.339496_NCHS_-_Pregnancy_Rates__by_Age_for_Hispanic_Women__United_States__1990-2010_20250113.csv.gz,2025-01-13 00:23:33 UTC,https://data.cdc.gov/NCHS/NCHS-Pregnancy-Rates-by-Age-for-Hispanic-Women-Uni/hdy7-e2a3,https://www.cdc.gov/nchs/data-visualization/natality-trends/index.htm,,"{'name': 'NCHS - Pregnancy Rates, by Age for Hispanic Women: United States, 1990-2010', 'id': 'hdy7-e2a3', 'description': 'https://www.cdc.gov/nchs/data-visualization/natality-trends/index.htm', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/NCHS-Pregnancy-Rates-by-Age-for-Hispanic-Women-Uni/hdy7-e2a3'}"
"NCHS - Pregnancy and Live Birth Rates, by Marital Status and Race and Hispanic Origin: United States, 1990-2010",7pcd-2tnr,7pcd-2tnr_1736723093.889001_NCHS_-_Pregnancy_and_Live_Birth_Rates__by_Marital_Status_and_Race_and_Hispanic_Origin__United_States__1990-2010_20250112.csv.gz,2025-01-12 23:04:53 UTC,https://data.cdc.gov/NCHS/NCHS-Pregnancy-and-Live-Birth-Rates-by-Marital-Sta/7pcd-2tnr,https://www.cdc.gov/nchs/data-visualization/births-to-unmarried-women/index.htm,,"{'name': 'NCHS - Pregnancy and Live Birth Rates, by Marital Status and Race and Hispanic Origin: United States, 1990-2010', 'id': '7pcd-2tnr', 'description': 'https://www.cdc.gov/nchs/data-visualization/births-to-unmarried-women/index.htm', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/NCHS-Pregnancy-and-Live-Birth-Rates-by-Marital-Sta/7pcd-2tnr'}"
NCHS - Teen Birth Rates for Age Group 15-19 in the United States by County,3h58-x6cd,3h58-x6cd_1736713821.936187_NCHS_-_Teen_Birth_Rates_for_Age_Group_15-19_in_the_United_States_by_County_20250112.csv.gz,2025-01-12 20:30:21 UTC,https://data.cdc.gov/NCHS/NCHS-Teen-Birth-Rates-for-Age-Group-15-19-in-the-U/3h58-x6cd,"This data set contains estimated teen birth rates for age group 15–19 (expressed per 1,000 females aged 15–19) by county and year.

DEFINITIONS

Estimated teen birth rate: Model-based estimates of teen birth rates for age group 15–19 (expressed per 1,000 females aged 15–19) for a specific county and year. Estimated county teen birth rates were obtained using the methods described elsewhere (1,2,3,4). These annual county-level teen birth estimates “borrow strength” across counties and years to generate accurate estimates where data are sparse due to small population size (1,2,3,4). The inferential method uses information—including the estimated teen birth rates from neighboring counties across years and the associated explanatory variables—to provide a stable estimate of the county teen birth rate.
Median teen birth rate: The middle value of the estimated teen birth rates for the age group 15–19 for counties in a state.
Bayesian credible intervals: A range of values within which there is a 95% probability that the actual teen birth rate will fall, based on the observed teen births data and the model.

NOTES

Data on the number of live births for women aged 15–19 years were extracted from the National Center for Health Statistics’ (NCHS) National Vital Statistics System birth data files for 2003–2015 (5).

Population estimates were extracted from the files containing intercensal and postcensal bridged-race population estimates provided by NCHS. For each year, the July population estimates were used, with the exception of the year of the decennial census, 2010, for which the April estimates were used.

Hierarchical Bayesian space–time models were used to generate hierarchical Bayesian estimates of county teen birth rates for each year during 2003–2015 (1,2,3,4).

The Bayesian analogue of the frequentist confidence interval is defined as the Bayesian credible interval. A 100*(1-α)% Bayesian credible interval for an unknown parameter vector θ and observed data vector y is a subset C of parameter space Ф such that
1-α≤P({C│y})=∫p{θ │y}dθ,
where integration is performed over the set  and is replaced by summation for discrete components of θ.  The probability that θ lies in C given the observed data y is at least (1- α) (6).

County borders in Alaska changed, and new counties were formed and others were merged, during 2003–2015. These changes were reflected in the population files but not in the natality files. For this reason, two counties in Alaska were collapsed so that the birth and population counts were comparable. Additionally, Kalawao County, a remote island county in Hawaii, recorded no births, and census estimates indicated a denominator of 0 (i.e., no females between the ages of 15 and 19 years residing in the county from 2003 through 2015). For this reason, Kalawao County was removed from the analysis. Also , Bedford City, Virginia, was added to Bedford County in 2015 and no longer appears in the mortality file in 2015. For consistency, Bedford City was merged with Bedford County, Virginia, for the entire 2003–2015 period. Final analysis was conducted on 3,137 counties for each year from 2003 through 2015. County boundaries are consistent with the vintage 2005–2007 bridged-race population file geographies (7).",,"{'name': 'NCHS - Teen Birth Rates for Age Group 15-19 in the United States by County', 'id': '3h58-x6cd', 'description': 'This data set contains estimated teen birth rates for age group 15–19 (expressed per 1,000 females aged 15–19) by county and year.\n\nDEFINITIONS\n\nEstimated teen birth rate: Model-based estimates of teen birth rates for age group 15–19 (expressed per 1,000 females aged 15–19) for a specific county and year. Estimated county teen birth rates were obtained using the methods described elsewhere (1,2,3,4). These annual county-level teen birth estimates “borrow strength” across counties and years to generate accurate estimates where data are sparse due to small population size (1,2,3,4). The inferential method uses information—including the estimated teen birth rates from neighboring counties across years and the associated explanatory variables—to provide a stable estimate of the county teen birth rate.\nMedian teen birth rate: The middle value of the estimated teen birth rates for the age group 15–19 for counties in a state.\nBayesian credible intervals: A range of values within which there is a 95% probability that the actual teen birth rate will fall, based on the observed teen births data and the model.\n\nNOTES\n\nData on the number of live births for women aged 15–19 years were extracted from the National Center for Health Statistics’ (NCHS) National Vital Statistics System birth data files for 2003–2015 (5).\n\nPopulation estimates were extracted from the files containing intercensal and postcensal bridged-race population estimates provided by NCHS. For each year, the July population estimates were used, with the exception of the year of the decennial census, 2010, for which the April estimates were used.\n\nHierarchical Bayesian space–time models were used to generate hierarchical Bayesian estimates of county teen birth rates for each year during 2003–2015 (1,2,3,4).\n\nThe Bayesian analogue of the frequentist confidence interval is defined as the Bayesian credible interval. A 100*(1-α)% Bayesian credible interval for an unknown parameter vector θ and observed data vector y is a subset C of parameter space Ф such that\n1-α≤P({C│y})=∫p{θ │y}dθ,\nwhere integration is performed over the set  and is replaced by summation for discrete components of θ.  The probability that θ lies in C given the observed data y is at least (1- α) (6).\n\nCounty borders in Alaska changed, and new counties were formed and others were merged, during 2003–2015. These changes were reflected in the population files but not in the natality files. For this reason, two counties in Alaska were collapsed so that the birth and population counts were comparable. Additionally, Kalawao County, a remote island county in Hawaii, recorded no births, and census estimates indicated a denominator of 0 (i.e., no females between the ages of 15 and 19 years residing in the county from 2003 through 2015). For this reason, Kalawao County was removed from the analysis. Also , Bedford City, Virginia, was added to Bedford County in 2015 and no longer appears in the mortality file in 2015. For consistency, Bedford City was merged with Bedford County, Virginia, for the entire 2003–2015 period. Final analysis was conducted on 3,137 counties for each year from 2003 through 2015. County boundaries are consistent with the vintage 2005–2007 bridged-race population file geographies (7).', 'datatype': 'tabular', 'keywords': ['demographics', 'health', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/NCHS-Teen-Birth-Rates-for-Age-Group-15-19-in-the-U/3h58-x6cd'}"
"NCHS - Teen Birth Rates for Females by Age Group, Race, and Hispanic Origin: United States",e8kx-wbww,e8kx-wbww_1736719113.076988_NCHS_-_Teen_Birth_Rates_for_Females_by_Age_Group__Race__and_Hispanic_Origin__United_States_20250112.csv.gz,2025-01-12 21:58:33 UTC,https://data.cdc.gov/NCHS/NCHS-Teen-Birth-Rates-for-Females-by-Age-Group-Rac/e8kx-wbww,"This dataset includes teen birth rates for females by age group, race, and Hispanic origin in the United States since 1960. 

Data availability varies by race and ethnicity groups. All birth data by race before 1980 are based on race of the child. Since 1980, birth data by race are based on race of the mother. For race, data are available for Black and White births since 1960, and for American Indians/Alaska Native and Asian/Pacific Islander births since 1980. Data on Hispanic origin are available since 1989. Teen birth rates for specific racial and ethnic categories are also available since 1989. From 2003 through 2015, the birth data by race were based on the “bridged” race categories (5). Starting in 2016, the race categories for reporting birth data changed; the new race and Hispanic origin categories are: Non-Hispanic, Single Race White; Non-Hispanic, Single Race Black; Non-Hispanic, Single Race American Indian/Alaska Native; Non-Hispanic, Single Race Asian; and, Non-Hispanic, Single Race Native Hawaiian/Pacific Islander (5,6). Birth data by the prior, “bridged” race (and Hispanic origin) categories are included through 2018 for comparison.

National data on births by Hispanic origin exclude data for Louisiana, New Hampshire, and Oklahoma in 1989; New Hampshire and Oklahoma in 1990; and New Hampshire in 1991 and 1992. Birth and fertility rates for the Central and South American population includes other and unknown Hispanic. Information on reporting Hispanic origin is detailed in the Technical Appendix for the 1999 public-use natality data file (see ftp://ftp.cdc.gov/pub/Health_Statistics/NCHS/Dataset_Documentation/DVS/natality/Nat1999doc.pdf).","<https://data.cdc.gov/NCHS/NCHS-Teen-Birth-Rates-for-Females-by-Age-Group-Rac/e8kx-wbww>; rel=""original"",
<http://web.archive.org/web/timemap/link/https://data.cdc.gov/NCHS/NCHS-Teen-Birth-Rates-for-Females-by-Age-Group-Rac/e8kx-wbww>; rel=""self""; type=""application/link-format""; from=""Tue, 29 Sep 2020 21:36:41 GMT"",
<http://web.archive.org/web/https://data.cdc.gov/NCHS/NCHS-Teen-Birth-Rates-for-Females-by-Age-Group-Rac/e8kx-wbww>; rel=""timegate"",
<http://web.archive.org/web/20200929213641/https://data.cdc.gov/NCHS/NCHS-Teen-Birth-Rates-for-Females-by-Age-Group-Rac/e8kx-wbww>; rel=""first memento""; datetime=""Tue, 29 Sep 2020 21:36:41 GMT"",
<http://web.archive.org/web/20210124071633/https://data.cdc.gov/NCHS/NCHS-Teen-Birth-Rates-for-Females-by-Age-Group-Rac/e8kx-wbww>; rel=""memento""; datetime=""Sun, 24 Jan 2021 07:16:33 GMT"",
<http://web.archive.org/web/20210321012447/https://data.cdc.gov/NCHS/NCHS-Teen-Birth-Rates-for-Females-by-Age-Group-Rac/e8kx-wbww>; rel=""memento""; datetime=""Sun, 21 Mar 2021 01:24:47 GMT"",
<http://web.archive.org/web/20210427011526/https://data.cdc.gov/NCHS/NCHS-Teen-Birth-Rates-for-Females-by-Age-Group-Rac/e8kx-wbww>; rel=""memento""; datetime=""Tue, 27 Apr 2021 01:15:26 GMT"",
<http://web.archive.org/web/20210508090542/https://data.cdc.gov/NCHS/NCHS-Teen-Birth-Rates-for-Females-by-Age-Group-Rac/e8kx-wbww>; rel=""memento""; datetime=""Sat, 08 May 2021 09:05:42 GMT"",
<http://web.archive.org/web/20210508090543/https://data.cdc.gov/NCHS/NCHS-Teen-Birth-Rates-for-Females-by-Age-Group-Rac/e8kx-wbww>; rel=""memento""; datetime=""Sat, 08 May 2021 09:05:43 GMT"",
<http://web.archive.org/web/20210720115833/https://data.cdc.gov/NCHS/NCHS-Teen-Birth-Rates-for-Females-by-Age-Group-Rac/e8kx-wbww>; rel=""memento""; datetime=""Tue, 20 Jul 2021 11:58:33 GMT"",
<http://web.archive.org/web/20210720115836/https://data.cdc.gov/NCHS/NCHS-Teen-Birth-Rates-for-Females-by-Age-Group-Rac/e8kx-wbww>; rel=""memento""; datetime=""Tue, 20 Jul 2021 11:58:36 GMT"",
<http://web.archive.org/web/20220706035446/https://data.cdc.gov/NCHS/NCHS-Teen-Birth-Rates-for-Females-by-Age-Group-Rac/e8kx-wbww>; rel=""memento""; datetime=""Wed, 06 Jul 2022 03:54:46 GMT"",
<http://web.archive.org/web/20240422224359/https://data.cdc.gov/NCHS/NCHS-Teen-Birth-Rates-for-Females-by-Age-Group-Rac/e8kx-wbww>; rel=""memento""; datetime=""Mon, 22 Apr 2024 22:43:59 GMT"",
<http://web.archive.org/web/20241006001507/https://data.cdc.gov/NCHS/NCHS-Teen-Birth-Rates-for-Females-by-Age-Group-Rac/e8kx-wbww>; rel=""memento""; datetime=""Sun, 06 Oct 2024 00:15:07 GMT"",
<http://web.archive.org/web/20241126230022/https://data.cdc.gov/NCHS/NCHS-Teen-Birth-Rates-for-Females-by-Age-Group-Rac/e8kx-wbww>; rel=""memento""; datetime=""Tue, 26 Nov 2024 23:00:22 GMT"",
<http://web.archive.org/web/20250118073730/https://data.cdc.gov/NCHS/NCHS-Teen-Birth-Rates-for-Females-by-Age-Group-Rac/e8kx-wbww>; rel=""memento""; datetime=""Sat, 18 Jan 2025 07:37:30 GMT"",
<http://web.archive.org/web/20250201020554/https://data.cdc.gov/NCHS/NCHS-Teen-Birth-Rates-for-Females-by-Age-Group-Rac/e8kx-wbww>; rel=""memento""; datetime=""Sat, 01 Feb 2025 02:05:54 GMT"",
<http://web.archive.org/web/20250201215824/https://data.cdc.gov/NCHS/NCHS-Teen-Birth-Rates-for-Females-by-Age-Group-Rac/e8kx-wbww>; rel=""memento""; datetime=""Sat, 01 Feb 2025 21:58:24 GMT"",
<http://web.archive.org/web/20250202084557/https://data.cdc.gov/NCHS/NCHS-Teen-Birth-Rates-for-Females-by-Age-Group-Rac/e8kx-wbww>; rel=""memento""; datetime=""Sun, 02 Feb 2025 08:45:57 GMT"",
<http://web.archive.org/web/20250205123435/https://data.cdc.gov/NCHS/NCHS-Teen-Birth-Rates-for-Females-by-Age-Group-Rac/e8kx-wbww>; rel=""memento""; datetime=""Wed, 05 Feb 2025 12:34:35 GMT"",
<http://web.archive.org/web/20250209012238/https://data.cdc.gov/NCHS/NCHS-Teen-Birth-Rates-for-Females-by-Age-Group-Rac/e8kx-wbww>; rel=""memento""; datetime=""Sun, 09 Feb 2025 01:22:38 GMT"",
<http://web.archive.org/web/20250211215938/https://data.cdc.gov/NCHS/NCHS-Teen-Birth-Rates-for-Females-by-Age-Group-Rac/e8kx-wbww>; rel=""memento""; datetime=""Tue, 11 Feb 2025 21:59:38 GMT"",
<http://web.archive.org/web/20250211215943/https://data.cdc.gov/NCHS/NCHS-Teen-Birth-Rates-for-Females-by-Age-Group-Rac/e8kx-wbww>; rel=""memento""; datetime=""Tue, 11 Feb 2025 21:59:43 GMT""
","{'name': 'NCHS - Teen Birth Rates for Females by Age Group, Race, and Hispanic Origin: United States', 'id': 'e8kx-wbww', 'description': 'This dataset includes teen birth rates for females by age group, race, and Hispanic origin in the United States since 1960. \n\nData availability varies by race and ethnicity groups. All birth data by race before 1980 are based on race of the child. Since 1980, birth data by race are based on race of the mother. For race, data are available for Black and White births since 1960, and for American Indians/Alaska Native and Asian/Pacific Islander births since 1980. Data on Hispanic origin are available since 1989. Teen birth rates for specific racial and ethnic categories are also available since 1989. From 2003 through 2015, the birth data by race were based on the “bridged” race categories (5). Starting in 2016, the race categories for reporting birth data changed; the new race and Hispanic origin categories are: Non-Hispanic, Single Race White; Non-Hispanic, Single Race Black; Non-Hispanic, Single Race American Indian/Alaska Native; Non-Hispanic, Single Race Asian; and, Non-Hispanic, Single Race Native Hawaiian/Pacific Islander (5,6). Birth data by the prior, “bridged” race (and Hispanic origin) categories are included through 2018 for comparison.\n\nNational data on births by Hispanic origin exclude data for Louisiana, New Hampshire, and Oklahoma in 1989; New Hampshire and Oklahoma in 1990; and New Hampshire in 1991 and 1992. Birth and fertility rates for the Central and South American population includes other and unknown Hispanic. Information on reporting Hispanic origin is detailed in the Technical Appendix for the 1999 public-use natality data file (see ftp://ftp.cdc.gov/pub/Health_Statistics/NCHS/Dataset_Documentation/DVS/natality/Nat1999doc.pdf).', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/NCHS-Teen-Birth-Rates-for-Females-by-Age-Group-Rac/e8kx-wbww'}"
"NCHS - Top Five Leading Causes of Death: United States, 1990, 1950, 2000",mc4y-cbbv,mc4y-cbbv_1736710742.324426_NCHS_-_Top_Five_Leading_Causes_of_Death__United_States__1990__1950__2000_20250112.csv.gz,2025-01-12 19:39:02 UTC,https://data.cdc.gov/NCHS/NCHS-Top-Five-Leading-Causes-of-Death-United-State/mc4y-cbbv,"This dataset contains information on the number of deaths and age-adjusted death rates for the five leading causes of death in 1900, 1950, and 2000.

Age-adjusted death rates (deaths per 100,000) after 1998 are calculated based on the 2000 U.S. standard population. Populations used for computing death rates for 2011–2017 are postcensal estimates based on the 2010 census, estimated as of July 1, 2010. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years between 2000 and 2010 are revised using updated intercensal population estimates and may differ from rates previously published. Data on age-adjusted death rates prior to 1999 are taken from historical data (see References below).

SOURCES

CDC/NCHS, National Vital Statistics System, historical data, 1900-1998 (see https://www.cdc.gov/nchs/nvss/mortality_historical_data.htm); CDC/NCHS, National Vital Statistics System, mortality data (see http://www.cdc.gov/nchs/deaths.htm); and CDC WONDER (see http://wonder.cdc.gov).

REFERENCES

1. National Center for Health Statistics, Data Warehouse. Comparability of cause-of-death between ICD revisions. 2008. Available from: http://www.cdc.gov/nchs/nvss/mortality/comparability_icd.htm.

2. National Center for Health Statistics. Vital statistics data available. Mortality multiple cause files. Hyattsville, MD: National Center for Health Statistics. Available from: https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm.

3. Kochanek KD, Murphy SL, Xu JQ, Arias E. Deaths: Final data for 2017. National Vital Statistics Reports; vol 68 no 9. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_09-508.pdf.

4. Arias E, Xu JQ. United States life tables, 2017. National Vital Statistics Reports; vol 68 no 7. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_07-508.pdf.

5. National Center for Health Statistics. Historical Data, 1900-1998. 2009. Available from: https://www.cdc.gov/nchs/nvss/mortality_historical_data.htm.",,"{'name': 'NCHS - Top Five Leading Causes of Death: United States, 1990, 1950, 2000', 'id': 'mc4y-cbbv', 'description': 'This dataset contains information on the number of deaths and age-adjusted death rates for the five leading causes of death in 1900, 1950, and 2000.\n\nAge-adjusted death rates (deaths per 100,000) after 1998 are calculated based on the 2000 U.S. standard population. Populations used for computing death rates for 2011–2017 are postcensal estimates based on the 2010 census, estimated as of July 1, 2010. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years between 2000 and 2010 are revised using updated intercensal population estimates and may differ from rates previously published. Data on age-adjusted death rates prior to 1999 are taken from historical data (see References below).\n\nSOURCES\n\nCDC/NCHS, National Vital Statistics System, historical data, 1900-1998 (see https://www.cdc.gov/nchs/nvss/mortality_historical_data.htm); CDC/NCHS, National Vital Statistics System, mortality data (see http://www.cdc.gov/nchs/deaths.htm); and CDC WONDER (see http://wonder.cdc.gov).\n\nREFERENCES\n\n1. National Center for Health Statistics, Data Warehouse. Comparability of cause-of-death between ICD revisions. 2008. Available from: http://www.cdc.gov/nchs/nvss/mortality/comparability_icd.htm.\n\n2. National Center for Health Statistics. Vital statistics data available. Mortality multiple cause files. Hyattsville, MD: National Center for Health Statistics. Available from: https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm.\n\n3. Kochanek KD, Murphy SL, Xu JQ, Arias E. Deaths: Final data for 2017. National Vital Statistics Reports; vol 68 no 9. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_09-508.pdf.\n\n4. Arias E, Xu JQ. United States life tables, 2017. National Vital Statistics Reports; vol 68 no 7. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_07-508.pdf.\n\n5. National Center for Health Statistics. Historical Data, 1900-1998. 2009. Available from: https://www.cdc.gov/nchs/nvss/mortality_historical_data.htm.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/NCHS-Top-Five-Leading-Causes-of-Death-United-State/mc4y-cbbv'}"
NCHS - U.S. and State Trends on Teen Births,y268-sna3,y268-sna3_1736712402.377993_NCHS_-_U.S._and_State_Trends_on_Teen_Births_20250112.csv.gz,2025-01-12 20:06:42 UTC,https://data.cdc.gov/NCHS/NCHS-U-S-and-State-Trends-on-Teen-Births/y268-sna3,"This dataset assembles all final birth data for females aged 15–19, 15–17, and 18–19 for the United States and each of the 50 states.

Data are based on 100% of birth certificates filed in all 50 states. All the teen birth rates in this dashboard reflect the latest revisions to Census populations (i.e., the intercensal populations) and thus provide a consistent series of accurate rates for the past 25 years. The denominators of the teen birth rates for 1991–1999 have been revised to incorporate the results of the 2000 Census. The denominators of the teen birth rates for 2001–2009 have revised to incorporate the results of the 2010 Census.",,"{'name': 'NCHS - U.S. and State Trends on Teen Births', 'id': 'y268-sna3', 'description': 'This dataset assembles all final birth data for females aged 15–19, 15–17, and 18–19 for the United States and each of the 50 states.\r\n\r\nData are based on 100% of birth certificates filed in all 50 states. All the teen birth rates in this dashboard reflect the latest revisions to Census populations (i.e., the intercensal populations) and thus provide a consistent series of accurate rates for the past 25 years. The denominators of the teen birth rates for 1991–1999 have been revised to incorporate the results of the 2000 Census. The denominators of the teen birth rates for 2001–2009 have revised to incorporate the results of the 2010 Census.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/NCHS-U-S-and-State-Trends-on-Teen-Births/y268-sna3'}"
NCHS - VSRR Quarterly provisional estimates for infant mortality,jqwm-z2g9,jqwm-z2g9_1736716346.458704_NCHS_-_VSRR_Quarterly_provisional_estimates_for_infant_mortality_20250112.csv.gz,2025-01-12 21:12:26 UTC,https://data.cdc.gov/NCHS/NCHS-VSRR-Quarterly-provisional-estimates-for-infa/jqwm-z2g9,"Provisional estimates of infant mortality (deaths of infants under 1 year per 1,000 live births), neonatal mortality (deaths of infants aged 0-27 days per 1,000 live births), postneonatal mortality (deaths of infants aged 28 days through 11 months per 1,000 live births), and death rates for the five leading causes of infant death.",,"{'name': 'NCHS - VSRR Quarterly provisional estimates for infant mortality', 'id': 'jqwm-z2g9', 'description': 'Provisional estimates of infant mortality (deaths of infants under 1 year per 1,000 live births), neonatal mortality (deaths of infants aged 0-27 days per 1,000 live births), postneonatal mortality (deaths of infants aged 28 days through 11 months per 1,000 live births), and death rates for the five leading causes of infant death.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/NCHS-VSRR-Quarterly-provisional-estimates-for-infa/jqwm-z2g9'}"
NCHS - VSRR Quarterly provisional estimates for selected birth indicators,76vv-a7x8,76vv-a7x8_1736710823.999636_NCHS_-_VSRR_Quarterly_provisional_estimates_for_selected_birth_indicators_20250112.csv.gz,2025-01-12 19:40:23 UTC,https://data.cdc.gov/NCHS/NCHS-VSRR-Quarterly-provisional-estimates-for-sele/76vv-a7x8,"Provisional estimates of selected reproductive indicators. Estimates are presented for: general fertility rates, age-specific birth rates, total and low risk cesarean delivery rates, preterm birth rates and other gestational age categories.","<https://data.cdc.gov/NCHS/NCHS-VSRR-Quarterly-provisional-estimates-for-sele/76vv-a7x8>; rel=""original"",
<http://web.archive.org/web/timemap/link/https://data.cdc.gov/NCHS/NCHS-VSRR-Quarterly-provisional-estimates-for-sele/76vv-a7x8>; rel=""self""; type=""application/link-format""; from=""Thu, 10 Jan 2019 20:43:41 GMT"",
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<http://web.archive.org/web/20190110204341/https://data.cdc.gov/NCHS/NCHS-VSRR-Quarterly-provisional-estimates-for-sele/76vv-a7x8>; rel=""first memento""; datetime=""Thu, 10 Jan 2019 20:43:41 GMT"",
<http://web.archive.org/web/20200501074619/https://data.cdc.gov/NCHS/NCHS-VSRR-Quarterly-provisional-estimates-for-sele/76vv-a7x8>; rel=""memento""; datetime=""Fri, 01 May 2020 07:46:19 GMT"",
<http://web.archive.org/web/20200501074622/https://data.cdc.gov/NCHS/NCHS-VSRR-Quarterly-provisional-estimates-for-sele/76vv-a7x8>; rel=""memento""; datetime=""Fri, 01 May 2020 07:46:22 GMT"",
<http://web.archive.org/web/20200501175735/https://data.cdc.gov/NCHS/NCHS-VSRR-Quarterly-provisional-estimates-for-sele/76vv-a7x8>; rel=""memento""; datetime=""Fri, 01 May 2020 17:57:35 GMT"",
<http://web.archive.org/web/20200501175738/https://data.cdc.gov/NCHS/NCHS-VSRR-Quarterly-provisional-estimates-for-sele/76vv-a7x8>; rel=""memento""; datetime=""Fri, 01 May 2020 17:57:38 GMT"",
<http://web.archive.org/web/20200501195020/https://data.cdc.gov/NCHS/NCHS-VSRR-Quarterly-provisional-estimates-for-sele/76vv-a7x8>; rel=""memento""; datetime=""Fri, 01 May 2020 19:50:20 GMT"",
<http://web.archive.org/web/20200501195023/https://data.cdc.gov/NCHS/NCHS-VSRR-Quarterly-provisional-estimates-for-sele/76vv-a7x8>; rel=""memento""; datetime=""Fri, 01 May 2020 19:50:23 GMT"",
<http://web.archive.org/web/20201029234036/https://data.cdc.gov/NCHS/NCHS-VSRR-Quarterly-provisional-estimates-for-sele/76vv-a7x8>; rel=""memento""; datetime=""Thu, 29 Oct 2020 23:40:36 GMT"",
<http://web.archive.org/web/20210305021700/https://data.cdc.gov/NCHS/NCHS-VSRR-Quarterly-provisional-estimates-for-sele/76vv-a7x8>; rel=""memento""; datetime=""Fri, 05 Mar 2021 02:17:00 GMT"",
<http://web.archive.org/web/20210321010655/https://data.cdc.gov/NCHS/NCHS-VSRR-Quarterly-provisional-estimates-for-sele/76vv-a7x8>; rel=""memento""; datetime=""Sun, 21 Mar 2021 01:06:55 GMT"",
<http://web.archive.org/web/20210508085429/https://data.cdc.gov/NCHS/NCHS-VSRR-Quarterly-provisional-estimates-for-sele/76vv-a7x8>; rel=""memento""; datetime=""Sat, 08 May 2021 08:54:29 GMT"",
<http://web.archive.org/web/20210508085431/https://data.cdc.gov/NCHS/NCHS-VSRR-Quarterly-provisional-estimates-for-sele/76vv-a7x8>; rel=""memento""; datetime=""Sat, 08 May 2021 08:54:31 GMT"",
<http://web.archive.org/web/20210512055748/https://data.cdc.gov/NCHS/NCHS-VSRR-Quarterly-provisional-estimates-for-sele/76vv-a7x8>; rel=""memento""; datetime=""Wed, 12 May 2021 05:57:48 GMT"",
<http://web.archive.org/web/20210720114257/https://data.cdc.gov/NCHS/NCHS-VSRR-Quarterly-provisional-estimates-for-sele/76vv-a7x8>; rel=""memento""; datetime=""Tue, 20 Jul 2021 11:42:57 GMT"",
<http://web.archive.org/web/20210720114301/https://data.cdc.gov/NCHS/NCHS-VSRR-Quarterly-provisional-estimates-for-sele/76vv-a7x8>; rel=""memento""; datetime=""Tue, 20 Jul 2021 11:43:01 GMT"",
<http://web.archive.org/web/20220517013207/https://data.cdc.gov/NCHS/NCHS-VSRR-Quarterly-provisional-estimates-for-sele/76vv-a7x8>; rel=""memento""; datetime=""Tue, 17 May 2022 01:32:07 GMT"",
<http://web.archive.org/web/20220706040711/https://data.cdc.gov/NCHS/NCHS-VSRR-Quarterly-provisional-estimates-for-sele/76vv-a7x8>; rel=""memento""; datetime=""Wed, 06 Jul 2022 04:07:11 GMT"",
<http://web.archive.org/web/20220708092001/https://data.cdc.gov/NCHS/NCHS-VSRR-Quarterly-provisional-estimates-for-sele/76vv-a7x8>; rel=""memento""; datetime=""Fri, 08 Jul 2022 09:20:01 GMT"",
<http://web.archive.org/web/20220710222502/https://data.cdc.gov/NCHS/NCHS-VSRR-Quarterly-provisional-estimates-for-sele/76vv-a7x8>; rel=""memento""; datetime=""Sun, 10 Jul 2022 22:25:02 GMT"",
<http://web.archive.org/web/20230218232350/https://data.cdc.gov/NCHS/NCHS-VSRR-Quarterly-provisional-estimates-for-sele/76vv-a7x8>; rel=""memento""; datetime=""Sat, 18 Feb 2023 23:23:50 GMT"",
<http://web.archive.org/web/20231003072216/https://data.cdc.gov/NCHS/NCHS-VSRR-Quarterly-provisional-estimates-for-sele/76vv-a7x8>; rel=""memento""; datetime=""Tue, 03 Oct 2023 07:22:16 GMT"",
<http://web.archive.org/web/20231129225334/https://data.cdc.gov/NCHS/NCHS-VSRR-Quarterly-provisional-estimates-for-sele/76vv-a7x8>; rel=""memento""; datetime=""Wed, 29 Nov 2023 22:53:34 GMT"",
<http://web.archive.org/web/20240518143505/https://data.cdc.gov/NCHS/NCHS-VSRR-Quarterly-provisional-estimates-for-sele/76vv-a7x8>; rel=""memento""; datetime=""Sat, 18 May 2024 14:35:05 GMT"",
<http://web.archive.org/web/20241007172205/https://data.cdc.gov/NCHS/NCHS-VSRR-Quarterly-provisional-estimates-for-sele/76vv-a7x8>; rel=""memento""; datetime=""Mon, 07 Oct 2024 17:22:05 GMT"",
<http://web.archive.org/web/20241126061513/https://data.cdc.gov/NCHS/NCHS-VSRR-Quarterly-provisional-estimates-for-sele/76vv-a7x8>; rel=""memento""; datetime=""Tue, 26 Nov 2024 06:15:13 GMT"",
<http://web.archive.org/web/20241129060245/https://data.cdc.gov/NCHS/NCHS-VSRR-Quarterly-provisional-estimates-for-sele/76vv-a7x8>; rel=""memento""; datetime=""Fri, 29 Nov 2024 06:02:45 GMT"",
<http://web.archive.org/web/20250117211115/https://data.cdc.gov/NCHS/NCHS-VSRR-Quarterly-provisional-estimates-for-sele/76vv-a7x8>; rel=""memento""; datetime=""Fri, 17 Jan 2025 21:11:15 GMT"",
<http://web.archive.org/web/20250117214227/https://data.cdc.gov/NCHS/NCHS-VSRR-Quarterly-provisional-estimates-for-sele/76vv-a7x8>; rel=""memento""; datetime=""Fri, 17 Jan 2025 21:42:27 GMT"",
<http://web.archive.org/web/20250131181852/https://data.cdc.gov/NCHS/NCHS-VSRR-Quarterly-provisional-estimates-for-sele/76vv-a7x8>; rel=""memento""; datetime=""Fri, 31 Jan 2025 18:18:52 GMT"",
<http://web.archive.org/web/20250201013940/https://data.cdc.gov/NCHS/NCHS-VSRR-Quarterly-provisional-estimates-for-sele/76vv-a7x8>; rel=""memento""; datetime=""Sat, 01 Feb 2025 01:39:40 GMT"",
<http://web.archive.org/web/20250201205142/https://data.cdc.gov/NCHS/NCHS-VSRR-Quarterly-provisional-estimates-for-sele/76vv-a7x8>; rel=""memento""; datetime=""Sat, 01 Feb 2025 20:51:42 GMT"",
<http://web.archive.org/web/20250202081653/https://data.cdc.gov/NCHS/NCHS-VSRR-Quarterly-provisional-estimates-for-sele/76vv-a7x8>; rel=""memento""; datetime=""Sun, 02 Feb 2025 08:16:53 GMT"",
<http://web.archive.org/web/20250202214941/https://data.cdc.gov/NCHS/NCHS-VSRR-Quarterly-provisional-estimates-for-sele/76vv-a7x8>; rel=""memento""; datetime=""Sun, 02 Feb 2025 21:49:41 GMT"",
<http://web.archive.org/web/20250203031255/https://data.cdc.gov/NCHS/NCHS-VSRR-Quarterly-provisional-estimates-for-sele/76vv-a7x8>; rel=""memento""; datetime=""Mon, 03 Feb 2025 03:12:55 GMT"",
<http://web.archive.org/web/20250209015052/https://data.cdc.gov/NCHS/NCHS-VSRR-Quarterly-provisional-estimates-for-sele/76vv-a7x8>; rel=""memento""; datetime=""Sun, 09 Feb 2025 01:50:52 GMT"",
<http://web.archive.org/web/20250209015056/https://data.cdc.gov/NCHS/NCHS-VSRR-Quarterly-provisional-estimates-for-sele/76vv-a7x8>; rel=""memento""; datetime=""Sun, 09 Feb 2025 01:50:56 GMT""
","{'name': 'NCHS - VSRR Quarterly provisional estimates for selected birth indicators', 'id': '76vv-a7x8', 'description': 'Provisional estimates of selected reproductive indicators. Estimates are presented for: general fertility rates, age-specific birth rates, total and low risk cesarean delivery rates, preterm birth rates and other gestational age categories.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/NCHS-VSRR-Quarterly-provisional-estimates-for-sele/76vv-a7x8'}"
NCHS - VSRR Quarterly provisional estimates for selected indicators of mortality,489q-934x,489q-934x_1736708693.534094_NCHS_-_VSRR_Quarterly_provisional_estimates_for_selected_indicators_of_mortality_20250112.csv.gz,2025-01-12 19:04:53 UTC,https://data.cdc.gov/NCHS/NCHS-VSRR-Quarterly-provisional-estimates-for-sele/489q-934x,"Provisional estimates of death rates. Estimates are presented for each of the 15 leading causes of death plus estimates for deaths attributed to drug overdose, falls (for persons aged 65 and over), human immunodeficiency virus (HIV) disease, homicide, and firearms-related deaths.",,"{'name': 'NCHS - VSRR Quarterly provisional estimates for selected indicators of mortality', 'id': '489q-934x', 'description': 'Provisional estimates of death rates. Estimates are presented for each of the 15 leading causes of death plus estimates for deaths attributed to drug overdose, falls (for persons aged 65 and over), human immunodeficiency virus (HIV) disease, homicide, and firearms-related deaths.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/NCHS-VSRR-Quarterly-provisional-estimates-for-sele/489q-934x'}"
NCHS Rapid Surveys System,p89x-xx88,p89x-xx88_1736731191.179677_NCHS_Rapid_Surveys_System_20250113.csv.gz,2025-01-13 01:19:51 UTC,https://data.cdc.gov/NCHS/NCHS-Rapid-Surveys-System/p89x-xx88,"The NCHS Rapid Surveys System includes questions sponsored by CDC programs and other partners to address time-sensitive data needs, public health attitudes or behaviors, and developmental work to improve concept measurement and inform future question design. It also includes standard variables used for sample weighting and calibration, as well as selected portions of existing content from NCHS surveys (such as the National Health Interview Survey) to compare panel estimates to these benchmarks, assess the fitness-for-use of the panel survey data, and for other methodological purposes.",,"{'name': 'NCHS Rapid Surveys System', 'id': 'p89x-xx88', 'description': 'The NCHS Rapid Surveys System includes questions sponsored by CDC programs and other partners to address time-sensitive data needs, public health attitudes or behaviors, and developmental work to improve concept measurement and inform future question design. It also includes standard variables used for sample weighting and calibration, as well as selected portions of existing content from NCHS surveys (such as the National Health Interview Survey) to compare panel estimates to these benchmarks, assess the fitness-for-use of the panel survey data, and for other methodological purposes.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/NCHS-Rapid-Surveys-System/p89x-xx88'}"
NHANES Select Chronic Conditions Prevalence Estimates,i667-sjhg,i667-sjhg_1736720813.387558_NHANES_Select_Chronic_Conditions_Prevalence_Estimates_20250112.csv.gz,2025-01-12 22:26:53 UTC,https://data.cdc.gov/NCHS/NHANES-Select-Chronic-Conditions-Prevalence-Estima/i667-sjhg,These data represent prevalence estimates of select chronic conditions from the National Health and Nutrition Examination Survey (NHANES).,,"{'name': 'NHANES Select Chronic Conditions Prevalence Estimates', 'id': 'i667-sjhg', 'description': 'These data represent prevalence estimates of select chronic conditions from the National Health and Nutrition Examination Survey (NHANES).', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/NHANES-Select-Chronic-Conditions-Prevalence-Estima/i667-sjhg'}"
NHANES Select Infectious Diseases Prevalence Estimates,pqn7-e45s,pqn7-e45s_1736728328.121604_NHANES_Select_Infectious_Diseases_Prevalence_Estimates_20250113.csv.gz,2025-01-13 00:32:08 UTC,https://data.cdc.gov/NCHS/NHANES-Select-Infectious-Diseases-Prevalence-Estim/pqn7-e45s,These data represent prevalence estimates of select infectious diseases from the National Health and Nutrition Examination Survey (NHANES).,,"{'name': 'NHANES Select Infectious Diseases Prevalence Estimates', 'id': 'pqn7-e45s', 'description': 'These data represent prevalence estimates of select infectious diseases from the National Health and Nutrition Examination Survey (NHANES).', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/NHANES-Select-Infectious-Diseases-Prevalence-Estim/pqn7-e45s'}"
NHANES Select Mean Dietary Intake Estimates,8wmh-yzz9,8wmh-yzz9_1736722747.102302_NHANES_Select_Mean_Dietary_Intake_Estimates_20250112.csv.gz,2025-01-12 22:59:07 UTC,https://data.cdc.gov/NCHS/NHANES-Select-Mean-Dietary-Intake-Estimates/8wmh-yzz9,"These data represent mean intake, on a given day, estimates of nutrients from foods and beverages from the National Health and Nutrition Examination Survey (NHANES).",,"{'name': 'NHANES Select Mean Dietary Intake Estimates', 'id': '8wmh-yzz9', 'description': 'These data represent mean intake, on a given day, estimates of nutrients from foods and beverages from the National Health and Nutrition Examination Survey (NHANES).', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/NHANES-Select-Mean-Dietary-Intake-Estimates/8wmh-yzz9'}"
NHANES Select Oral Health Prevalence Estimates,ggsw-596z,ggsw-596z_1736727263.758055_NHANES_Select_Oral_Health_Prevalence_Estimates_20250113.csv.gz,2025-01-13 00:14:23 UTC,https://data.cdc.gov/NCHS/NHANES-Select-Oral-Health-Prevalence-Estimates/ggsw-596z,These data represent prevalence estimates of select oral health topics from the National Health and Nutrition Examination Survey (NHANES).,,"{'name': 'NHANES Select Oral Health Prevalence Estimates', 'id': 'ggsw-596z', 'description': 'These data represent prevalence estimates of select oral health topics from the National Health and Nutrition Examination Survey (NHANES).', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/NHANES-Select-Oral-Health-Prevalence-Estimates/ggsw-596z'}"
NHIS Adult 3-Year Summary Health Statistics,krhz-spsc,krhz-spsc_1736732434.411245_NHIS_Adult_3-Year_Summary_Health_Statistics_20250113.csv.gz,2025-01-13 01:40:34 UTC,https://data.cdc.gov/NCHS/NHIS-Adult-3-Year-Summary-Health-Statistics/krhz-spsc,"Interactive Summary Health Statistics for Adults, by Detailed Race and Ethnicity provide estimates as three-year averages of selected health topics for adults aged 18 years and over based on final data from the National Health Interview Survey.",,"{'name': 'NHIS Adult 3-Year Summary Health Statistics', 'id': 'krhz-spsc', 'description': 'Interactive Summary Health Statistics for Adults, by Detailed Race and Ethnicity provide estimates as three-year averages of selected health topics for adults aged 18 years and over based on final data from the National Health Interview Survey.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/NHIS-Adult-3-Year-Summary-Health-Statistics/krhz-spsc'}"
NHIS Adult Summary Health Statistics,25m4-6qqq,25m4-6qqq_1736711148.098858_NHIS_Adult_Summary_Health_Statistics_20250112.csv.gz,2025-01-12 19:45:48 UTC,https://data.cdc.gov/NCHS/NHIS-Adult-Summary-Health-Statistics/25m4-6qqq,Interactive Summary Health Statistics for Adults provide annual estimates of selected health topics for adults aged 18 years and over based on final data from the National Health Interview Survey.,,"{'name': 'NHIS Adult Summary Health Statistics', 'id': '25m4-6qqq', 'description': 'Interactive Summary Health Statistics for Adults provide annual estimates of selected health topics for adults aged 18 years and over based on final data from the National Health Interview Survey.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/NHIS-Adult-Summary-Health-Statistics/25m4-6qqq'}"
NHIS Child Summary Health Statistics,wxz7-ekz9,wxz7-ekz9_1736713412.932185_NHIS_Child_Summary_Health_Statistics_20250112.csv.gz,2025-01-12 20:23:32 UTC,https://data.cdc.gov/NCHS/NHIS-Child-Summary-Health-Statistics/wxz7-ekz9,Interactive Summary Health Statistics for Children provide annual estimates of selected health topics for children under age 18 years based on final data from the National Health Interview Survey.,,"{'name': 'NHIS Child Summary Health Statistics', 'id': 'wxz7-ekz9', 'description': 'Interactive Summary Health Statistics for Children provide annual estimates of selected health topics for children under age 18 years based on final data from the National Health Interview Survey.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/NHIS-Child-Summary-Health-Statistics/wxz7-ekz9'}"
NHIS Interactive Biannual Early Release Estimates,trpk-sp8z,trpk-sp8z_1736719066.022520_NHIS_Interactive_Biannual_Early_Release_Estimates_20250112.csv.gz,2025-01-12 21:57:46 UTC,https://data.cdc.gov/NCHS/NHIS-Interactive-Biannual-Early-Release-Estimates/trpk-sp8z,"Interactive Biannual Early Release Estimates provide health statistics based on data from the 2019-2021 National Health Interview Survey (NHIS) for selected health topics for adults aged 18 years and over. All estimates are unadjusted percentages based on preliminary data files and are released prior to final data editing and final weighting to provide access to the most recent information from the NHIS. Estimates can be grouped by demographic characteristics (such as age, race and Hispanic origin, or sex). Estimates based on 2019-2020 NHIS quarterly data are available in Interactive Quarterly Early Release Estimates. Estimates based on the 1997–2018 NHIS can be found in Previous Early Release Reports on Key Health Indicators.",,"{'name': 'NHIS Interactive Biannual Early Release Estimates', 'id': 'trpk-sp8z', 'description': 'Interactive Biannual Early Release Estimates provide health statistics based on data from the 2019-2021 National Health Interview Survey (NHIS) for selected health topics for adults aged 18 years and over. All estimates are unadjusted percentages based on preliminary data files and are released prior to final data editing and final weighting to provide access to the most recent information from the NHIS. Estimates can be grouped by demographic characteristics (such as age, race and Hispanic origin, or sex). Estimates based on 2019-2020 NHIS quarterly data are available in Interactive Quarterly Early Release Estimates. Estimates based on the 1997–2018 NHIS can be found in Previous Early Release Reports on Key Health Indicators.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/NHIS-Interactive-Biannual-Early-Release-Estimates/trpk-sp8z'}"
NHIS Interactive Quarterly Early Release Estimates,wpti-gvdi,wpti-gvdi_1736719977.831159_NHIS_Interactive_Quarterly_Early_Release_Estimates_20250112.csv.gz,2025-01-12 22:12:57 UTC,https://data.cdc.gov/NCHS/NHIS-Interactive-Quarterly-Early-Release-Estimates/wpti-gvdi,"Interactive Quarterly Early Release Estimates provide health statistics based on data from the 2019-2022 National Health Interview Survey (NHIS) for selected health topics for adults aged 18 years and over. All estimates are unadjusted percentages based on preliminary data files and are released prior to final data editing and final weighting to provide access to the most recent information from the NHIS. Estimates presented here are based on quarterly data. Estimates based on half-year data, with groupings by demographic characteristics, are available in the Interactive Biannual Early Release Estimates. Estimates based on the 1997–2018 NHIS can be found in Previous Early Release Reports on Key Health Indicators.",,"{'name': 'NHIS Interactive Quarterly Early Release Estimates', 'id': 'wpti-gvdi', 'description': 'Interactive Quarterly Early Release Estimates provide health statistics based on data from the 2019-2022 National Health Interview Survey (NHIS) for selected health topics for adults aged 18 years and over. All estimates are unadjusted percentages based on preliminary data files and are released prior to final data editing and final weighting to provide access to the most recent information from the NHIS. Estimates presented here are based on quarterly data. Estimates based on half-year data, with groupings by demographic characteristics, are available in the Interactive Biannual Early Release Estimates. Estimates based on the 1997–2018 NHIS can be found in Previous Early Release Reports on Key Health Indicators.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/NHIS-Interactive-Quarterly-Early-Release-Estimates/wpti-gvdi'}"
NHIS Teen,5pqj-rvh4,5pqj-rvh4_1736721820.346948_NHIS_Teen_20250112.csv.gz,2025-01-12 22:43:40 UTC,https://data.cdc.gov/NCHS/NHIS-Teen/5pqj-rvh4,Interactive Summary Health Statistics for Teens provide estimates of selected health topics for youth aged 12-17 years based on final data from the National Health Interview Survey— Teen.,,"{'name': 'NHIS Teen', 'id': '5pqj-rvh4', 'description': 'Interactive Summary Health Statistics for Teens provide estimates of selected health topics for youth aged 12-17 years based on final data from the National Health Interview Survey— Teen.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/NHIS-Teen/5pqj-rvh4'}"
"NNDSS - TABLE 1A.  Anthrax to Arboviral diseases, Eastern equine encephalitis virus disease",cz39-ahbn,cz39-ahbn_1736731470.051266_NNDSS_-_TABLE_1A.__Anthrax_to_Arboviral_diseases__Eastern_equine_encephalitis_virus_disease_20250113.csv.gz,2025-01-13 01:24:30 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1A-Anthrax-to-Arboviral-diseases-Easte/cz39-ahbn,"NNDSS - Table 1A. Anthrax to Arboviral diseases, Eastern equine encephalitis virus disease - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
C.N.M.I.: Commonwealth of Northern Mariana Islands. 
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).","<https://data.cdc.gov/NNDSS/NNDSS-TABLE-1A-Anthrax-to-Arboviral-diseases-Easte/cz39-ahbn>; rel=""original"",
<http://web.archive.org/web/timemap/link/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1A-Anthrax-to-Arboviral-diseases-Easte/cz39-ahbn>; rel=""self""; type=""application/link-format""; from=""Thu, 29 Oct 2020 22:59:28 GMT"",
<http://web.archive.org/web/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1A-Anthrax-to-Arboviral-diseases-Easte/cz39-ahbn>; rel=""timegate"",
<http://web.archive.org/web/20201029225928/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1A-Anthrax-to-Arboviral-diseases-Easte/cz39-ahbn>; rel=""first memento""; datetime=""Thu, 29 Oct 2020 22:59:28 GMT"",
<http://web.archive.org/web/20210115151041/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1A-Anthrax-to-Arboviral-diseases-Easte/cz39-ahbn>; rel=""memento""; datetime=""Fri, 15 Jan 2021 15:10:41 GMT"",
<http://web.archive.org/web/20210320191259/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1A-Anthrax-to-Arboviral-diseases-Easte/cz39-ahbn>; rel=""memento""; datetime=""Sat, 20 Mar 2021 19:12:59 GMT"",
<http://web.archive.org/web/20210411065915/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1A-Anthrax-to-Arboviral-diseases-Easte/cz39-ahbn>; rel=""memento""; datetime=""Sun, 11 Apr 2021 06:59:15 GMT"",
<http://web.archive.org/web/20210508090752/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1A-Anthrax-to-Arboviral-diseases-Easte/cz39-ahbn>; rel=""memento""; datetime=""Sat, 08 May 2021 09:07:52 GMT"",
<http://web.archive.org/web/20210508090754/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1A-Anthrax-to-Arboviral-diseases-Easte/cz39-ahbn>; rel=""memento""; datetime=""Sat, 08 May 2021 09:07:54 GMT"",
<http://web.archive.org/web/20210720114802/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1A-Anthrax-to-Arboviral-diseases-Easte/cz39-ahbn>; rel=""memento""; datetime=""Tue, 20 Jul 2021 11:48:02 GMT"",
<http://web.archive.org/web/20210720114811/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1A-Anthrax-to-Arboviral-diseases-Easte/cz39-ahbn>; rel=""memento""; datetime=""Tue, 20 Jul 2021 11:48:11 GMT"",
<http://web.archive.org/web/20230326003621/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1A-Anthrax-to-Arboviral-diseases-Easte/cz39-ahbn>; rel=""memento""; datetime=""Sun, 26 Mar 2023 00:36:21 GMT"",
<http://web.archive.org/web/20240615042057/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1A-Anthrax-to-Arboviral-diseases-Easte/cz39-ahbn>; rel=""memento""; datetime=""Sat, 15 Jun 2024 04:20:57 GMT"",
<http://web.archive.org/web/20241004051249/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1A-Anthrax-to-Arboviral-diseases-Easte/cz39-ahbn>; rel=""memento""; datetime=""Fri, 04 Oct 2024 05:12:49 GMT"",
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","{'name': 'NNDSS - TABLE 1A.  Anthrax to Arboviral diseases, Eastern equine encephalitis virus disease', 'id': 'cz39-ahbn', 'description': ""NNDSS - Table 1A. Anthrax to Arboviral diseases, Eastern equine encephalitis virus disease - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1A-Anthrax-to-Arboviral-diseases-Easte/cz39-ahbn'}"
"NNDSS - TABLE 1A. Anthrax to Arboviral diseases, Eastern equine encephalitis virus disease",5wdd-3g8t,5wdd-3g8t_1736736997.081154_NNDSS_-_TABLE_1A._Anthrax_to_Arboviral_diseases__Eastern_equine_encephalitis_virus_disease_20250113.csv.gz,2025-01-13 02:56:37 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1A-Anthrax-to-Arboviral-diseases-Easte/5wdd-3g8t,"NNDSS - TABLE 1A. Anthrax to Arboviral diseases, Eastern equine encephalitis virus disease – 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non U.S. residents.

Notes:
•	These are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
•	Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.
•	The list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.
Footnotes:
*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.",,"{'name': 'NNDSS - TABLE 1A. Anthrax to Arboviral diseases, Eastern equine encephalitis virus disease', 'id': '5wdd-3g8t', 'description': ""NNDSS - TABLE 1A. Anthrax to Arboviral diseases, Eastern equine encephalitis virus disease – 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non U.S. residents.\n\nNotes:\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n•\tNotices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\nFootnotes:\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1A-Anthrax-to-Arboviral-diseases-Easte/5wdd-3g8t'}"
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Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
 Max: Maximum — Maximum case count during the previous 52 weeks.
  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1A. Anthrax to Arboviral diseases, Eastern equine encephalitis virus disease', 'id': 'ju63-2fep', 'description': ""NNDSS - TABLE 1A. Anthrax to Arboviral diseases, Eastern equine encephalitis virus disease – 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1A-Anthrax-to-Arboviral-diseases-Easte/ju63-2fep'}"
"NNDSS - TABLE 1A. Anthrax to Arboviral diseases, Eastern equine encephalitis virus disease",ttjk-6u2v,ttjk-6u2v_1736732584.672124_NNDSS_-_TABLE_1A._Anthrax_to_Arboviral_diseases__Eastern_equine_encephalitis_virus_disease_20250113.csv.gz,2025-01-13 01:43:04 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1A-Anthrax-to-Arboviral-diseases-Easte/ttjk-6u2v,"NNDSS - Table 1A. Anthrax to Arboviral diseases, Eastern equine encephalitis virus disease - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
C.N.M.I.: Commonwealth of Northern Mariana Islands. 
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1A. Anthrax to Arboviral diseases, Eastern equine encephalitis virus disease', 'id': 'ttjk-6u2v', 'description': ""NNDSS - Table 1A. Anthrax to Arboviral diseases, Eastern equine encephalitis virus disease - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1A-Anthrax-to-Arboviral-diseases-Easte/ttjk-6u2v'}"
"NNDSS - TABLE 1A. Anthrax to Arboviral diseases, Eastern equine encephalitis virus disease",v2mh-3yzr,v2mh-3yzr_1736728003.808423_NNDSS_-_TABLE_1A._Anthrax_to_Arboviral_diseases__Eastern_equine_encephalitis_virus_disease_20250113.csv.gz,2025-01-13 00:26:43 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1A-Anthrax-to-Arboviral-diseases-Easte/v2mh-3yzr,"NNDSS - TABLE 1A. Anthrax to Arboviral diseases, Eastern equine encephalitis virus disease – 2020.  In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non U.S. residents.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).","<https://data.cdc.gov/NNDSS/NNDSS-TABLE-1A-Anthrax-to-Arboviral-diseases-Easte/v2mh-3yzr>; rel=""original"",
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<http://web.archive.org/web/20210411154848/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1A-Anthrax-to-Arboviral-diseases-Easte/v2mh-3yzr>; rel=""memento""; datetime=""Sun, 11 Apr 2021 15:48:48 GMT"",
<http://web.archive.org/web/20210508091239/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1A-Anthrax-to-Arboviral-diseases-Easte/v2mh-3yzr>; rel=""memento""; datetime=""Sat, 08 May 2021 09:12:39 GMT"",
<http://web.archive.org/web/20210508091241/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1A-Anthrax-to-Arboviral-diseases-Easte/v2mh-3yzr>; rel=""memento""; datetime=""Sat, 08 May 2021 09:12:41 GMT"",
<http://web.archive.org/web/20210720120426/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1A-Anthrax-to-Arboviral-diseases-Easte/v2mh-3yzr>; rel=""memento""; datetime=""Tue, 20 Jul 2021 12:04:26 GMT"",
<http://web.archive.org/web/20210720120446/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1A-Anthrax-to-Arboviral-diseases-Easte/v2mh-3yzr>; rel=""memento""; datetime=""Tue, 20 Jul 2021 12:04:46 GMT"",
<http://web.archive.org/web/20211208220244/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1A-Anthrax-to-Arboviral-diseases-Easte/v2mh-3yzr>; rel=""memento""; datetime=""Wed, 08 Dec 2021 22:02:44 GMT"",
<http://web.archive.org/web/20220522162709/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1A-Anthrax-to-Arboviral-diseases-Easte/v2mh-3yzr>; rel=""memento""; datetime=""Sun, 22 May 2022 16:27:09 GMT"",
<http://web.archive.org/web/20220524214309/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1A-Anthrax-to-Arboviral-diseases-Easte/v2mh-3yzr>; rel=""memento""; datetime=""Tue, 24 May 2022 21:43:09 GMT"",
<http://web.archive.org/web/20220926124544/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1A-Anthrax-to-Arboviral-diseases-Easte/v2mh-3yzr>; rel=""memento""; datetime=""Mon, 26 Sep 2022 12:45:44 GMT"",
<http://web.archive.org/web/20230605232622/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1A-Anthrax-to-Arboviral-diseases-Easte/v2mh-3yzr>; rel=""memento""; datetime=""Mon, 05 Jun 2023 23:26:22 GMT"",
<http://web.archive.org/web/20231202182829/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1A-Anthrax-to-Arboviral-diseases-Easte/v2mh-3yzr>; rel=""memento""; datetime=""Sat, 02 Dec 2023 18:28:29 GMT"",
<http://web.archive.org/web/20240611214500/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1A-Anthrax-to-Arboviral-diseases-Easte/v2mh-3yzr>; rel=""memento""; datetime=""Tue, 11 Jun 2024 21:45:00 GMT"",
<http://web.archive.org/web/20240614025642/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1A-Anthrax-to-Arboviral-diseases-Easte/v2mh-3yzr>; rel=""memento""; datetime=""Fri, 14 Jun 2024 02:56:42 GMT"",
<http://web.archive.org/web/20241001083918/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1A-Anthrax-to-Arboviral-diseases-Easte/v2mh-3yzr>; rel=""memento""; datetime=""Tue, 01 Oct 2024 08:39:18 GMT"",
<http://web.archive.org/web/20241009222115/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1A-Anthrax-to-Arboviral-diseases-Easte/v2mh-3yzr>; rel=""memento""; datetime=""Wed, 09 Oct 2024 22:21:15 GMT"",
<http://web.archive.org/web/20241121173323/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1A-Anthrax-to-Arboviral-diseases-Easte/v2mh-3yzr>; rel=""memento""; datetime=""Thu, 21 Nov 2024 17:33:23 GMT"",
<http://web.archive.org/web/20241122210122/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1A-Anthrax-to-Arboviral-diseases-Easte/v2mh-3yzr>; rel=""memento""; datetime=""Fri, 22 Nov 2024 21:01:22 GMT"",
<http://web.archive.org/web/20241127084139/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1A-Anthrax-to-Arboviral-diseases-Easte/v2mh-3yzr>; rel=""memento""; datetime=""Wed, 27 Nov 2024 08:41:39 GMT"",
<http://web.archive.org/web/20241206222309/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1A-Anthrax-to-Arboviral-diseases-Easte/v2mh-3yzr>; rel=""memento""; datetime=""Fri, 06 Dec 2024 22:23:09 GMT"",
<http://web.archive.org/web/20250201011809/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1A-Anthrax-to-Arboviral-diseases-Easte/v2mh-3yzr>; rel=""memento""; datetime=""Sat, 01 Feb 2025 01:18:09 GMT"",
<http://web.archive.org/web/20250201200048/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1A-Anthrax-to-Arboviral-diseases-Easte/v2mh-3yzr>; rel=""memento""; datetime=""Sat, 01 Feb 2025 20:00:48 GMT"",
<http://web.archive.org/web/20250201211754/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1A-Anthrax-to-Arboviral-diseases-Easte/v2mh-3yzr>; rel=""memento""; datetime=""Sat, 01 Feb 2025 21:17:54 GMT"",
<http://web.archive.org/web/20250202074954/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1A-Anthrax-to-Arboviral-diseases-Easte/v2mh-3yzr>; rel=""memento""; datetime=""Sun, 02 Feb 2025 07:49:54 GMT"",
<http://web.archive.org/web/20250204124032/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1A-Anthrax-to-Arboviral-diseases-Easte/v2mh-3yzr>; rel=""memento""; datetime=""Tue, 04 Feb 2025 12:40:32 GMT"",
<http://web.archive.org/web/20250210135547/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1A-Anthrax-to-Arboviral-diseases-Easte/v2mh-3yzr/>; rel=""memento""; datetime=""Mon, 10 Feb 2025 13:55:47 GMT"",
<http://web.archive.org/web/20250210135609/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1A-Anthrax-to-Arboviral-diseases-Easte/v2mh-3yzr>; rel=""memento""; datetime=""Mon, 10 Feb 2025 13:56:09 GMT"",
<http://web.archive.org/web/20250210135610/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1A-Anthrax-to-Arboviral-diseases-Easte/v2mh-3yzr>; rel=""memento""; datetime=""Mon, 10 Feb 2025 13:56:10 GMT""
","{'name': 'NNDSS - TABLE 1A. Anthrax to Arboviral diseases, Eastern equine encephalitis virus disease', 'id': 'v2mh-3yzr', 'description': ""NNDSS - TABLE 1A. Anthrax to Arboviral diseases, Eastern equine encephalitis virus disease – 2020.  In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non U.S. residents.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1A-Anthrax-to-Arboviral-diseases-Easte/v2mh-3yzr'}"
"NNDSS - TABLE 1AA.  Poliovirus infection, nonparalytic to Psittacosis",axgy-8qey,axgy-8qey_1736736630.017427_NNDSS_-_TABLE_1AA.__Poliovirus_infection__nonparalytic_to_Psittacosis_20250113.csv.gz,2025-01-13 02:50:30 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1AA-Poliovirus-infection-nonparalytic-/axgy-8qey,"NNDSS - TABLE 1AA.  Poliovirus infection, nonparalytic to Psittacosis - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).","<https://data.cdc.gov/NNDSS/NNDSS-TABLE-1AA-Poliovirus-infection-nonparalytic-/axgy-8qey>; rel=""original"",
<http://web.archive.org/web/timemap/link/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1AA-Poliovirus-infection-nonparalytic-/axgy-8qey>; rel=""self""; type=""application/link-format""; from=""Tue, 11 Aug 2020 19:08:26 GMT"",
<http://web.archive.org/web/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1AA-Poliovirus-infection-nonparalytic-/axgy-8qey>; rel=""timegate"",
<http://web.archive.org/web/20200811190826/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1AA-Poliovirus-infection-nonparalytic-/axgy-8qey>; rel=""first memento""; datetime=""Tue, 11 Aug 2020 19:08:26 GMT"",
<http://web.archive.org/web/20201029224813/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1AA-Poliovirus-infection-nonparalytic-/axgy-8qey>; rel=""memento""; datetime=""Thu, 29 Oct 2020 22:48:13 GMT"",
<http://web.archive.org/web/20210305013837/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1AA-Poliovirus-infection-nonparalytic-/axgy-8qey>; rel=""memento""; datetime=""Fri, 05 Mar 2021 01:38:37 GMT"",
<http://web.archive.org/web/20210324043125/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1AA-Poliovirus-infection-nonparalytic-/axgy-8qey>; rel=""memento""; datetime=""Wed, 24 Mar 2021 04:31:25 GMT"",
<http://web.archive.org/web/20230328080450/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1AA-Poliovirus-infection-nonparalytic-/axgy-8qey>; rel=""memento""; datetime=""Tue, 28 Mar 2023 08:04:50 GMT"",
<http://web.archive.org/web/20240926233653/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1AA-Poliovirus-infection-nonparalytic-/axgy-8qey>; rel=""memento""; datetime=""Thu, 26 Sep 2024 23:36:53 GMT"",
<http://web.archive.org/web/20241121174428/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1AA-Poliovirus-infection-nonparalytic-/axgy-8qey>; rel=""memento""; datetime=""Thu, 21 Nov 2024 17:44:28 GMT"",
<http://web.archive.org/web/20241126131350/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1AA-Poliovirus-infection-nonparalytic-/axgy-8qey>; rel=""memento""; datetime=""Tue, 26 Nov 2024 13:13:50 GMT"",
<http://web.archive.org/web/20250201023951/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1AA-Poliovirus-infection-nonparalytic-/axgy-8qey>; rel=""memento""; datetime=""Sat, 01 Feb 2025 02:39:51 GMT"",
<http://web.archive.org/web/20250201211636/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1AA-Poliovirus-infection-nonparalytic-/axgy-8qey>; rel=""memento""; datetime=""Sat, 01 Feb 2025 21:16:36 GMT"",
<http://web.archive.org/web/20250202235610/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1AA-Poliovirus-infection-nonparalytic-/axgy-8qey>; rel=""memento""; datetime=""Sun, 02 Feb 2025 23:56:10 GMT"",
<http://web.archive.org/web/20250203233135/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1AA-Poliovirus-infection-nonparalytic-/axgy-8qey>; rel=""memento""; datetime=""Mon, 03 Feb 2025 23:31:35 GMT"",
<http://web.archive.org/web/20250208170608/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1AA-Poliovirus-infection-nonparalytic-/axgy-8qey>; rel=""memento""; datetime=""Sat, 08 Feb 2025 17:06:08 GMT"",
<http://web.archive.org/web/20250210090745/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1AA-Poliovirus-infection-nonparalytic-/axgy-8qey/>; rel=""memento""; datetime=""Mon, 10 Feb 2025 09:07:45 GMT"",
<http://web.archive.org/web/20250210090746/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1AA-Poliovirus-infection-nonparalytic-/axgy-8qey>; rel=""memento""; datetime=""Mon, 10 Feb 2025 09:07:46 GMT"",
<http://web.archive.org/web/20250210090805/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1AA-Poliovirus-infection-nonparalytic-/axgy-8qey>; rel=""memento""; datetime=""Mon, 10 Feb 2025 09:08:05 GMT""
","{'name': 'NNDSS - TABLE 1AA.  Poliovirus infection, nonparalytic to Psittacosis', 'id': 'axgy-8qey', 'description': ""NNDSS - TABLE 1AA.  Poliovirus infection, nonparalytic to Psittacosis - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1AA-Poliovirus-infection-nonparalytic-/axgy-8qey'}"
"NNDSS - TABLE 1AA.  Poliovirus infection, nonparalytic to Psittacosis",q9sm-44y3,q9sm-44y3_1736736512.957936_NNDSS_-_TABLE_1AA.__Poliovirus_infection__nonparalytic_to_Psittacosis_20250113.csv.gz,2025-01-13 02:48:32 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1AA-Poliovirus-infection-nonparalytic-/q9sm-44y3,"NNDSS - TABLE 1AA.  Poliovirus infection, nonparalytic to Psittacosis - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1AA.  Poliovirus infection, nonparalytic to Psittacosis', 'id': 'q9sm-44y3', 'description': ""NNDSS - TABLE 1AA.  Poliovirus infection, nonparalytic to Psittacosis - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1AA-Poliovirus-infection-nonparalytic-/q9sm-44y3'}"
"NNDSS - TABLE 1AA. Poliovirus infection, nonparalytic to Psittacosis",52kh-2h7i,52kh-2h7i_1736736572.821628_NNDSS_-_TABLE_1AA._Poliovirus_infection__nonparalytic_to_Psittacosis_20250113.csv.gz,2025-01-13 02:49:32 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1AA-Poliovirus-infection-nonparalytic-/52kh-2h7i,"NNDSS - TABLE 1AA. Poliovirus infection, nonparalytic to Psittacosis - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
 Max: Maximum — Maximum case count during the previous 52 weeks.
  * Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1AA. Poliovirus infection, nonparalytic to Psittacosis', 'id': '52kh-2h7i', 'description': ""NNDSS - TABLE 1AA. Poliovirus infection, nonparalytic to Psittacosis - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['health', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1AA-Poliovirus-infection-nonparalytic-/52kh-2h7i'}"
"NNDSS - TABLE 1AA. Poliovirus infection, nonparalytic to Psittacosis",mcdp-77g7,mcdp-77g7_1736735876.125407_NNDSS_-_TABLE_1AA._Poliovirus_infection__nonparalytic_to_Psittacosis_20250113.csv.gz,2025-01-13 02:37:56 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1AA-Poliovirus-infection-nonparalytic-/mcdp-77g7,"NNDSS - TABLE 1AA. Poliovirus infection, nonparalytic to Psittacosis - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
 Max: Maximum — Maximum case count during the previous 52 weeks.
  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1AA. Poliovirus infection, nonparalytic to Psittacosis', 'id': 'mcdp-77g7', 'description': ""NNDSS - TABLE 1AA. Poliovirus infection, nonparalytic to Psittacosis - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1AA-Poliovirus-infection-nonparalytic-/mcdp-77g7'}"
"NNDSS - TABLE 1AA. Poliovirus infection, nonparalytic to Psittacosis",vuhn-dxkt,vuhn-dxkt_1736737938.566582_NNDSS_-_TABLE_1AA._Poliovirus_infection__nonparalytic_to_Psittacosis_20250113.csv.gz,2025-01-13 03:12:18 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1AA-Poliovirus-infection-nonparalytic-/vuhn-dxkt,"NNDSS - TABLE 1AA. Poliovirus infection, nonparalytic to Psittacosis - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notes:

•	These are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.
•	The list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.

Footnotes:

*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.",,"{'name': 'NNDSS - TABLE 1AA. Poliovirus infection, nonparalytic to Psittacosis', 'id': 'vuhn-dxkt', 'description': ""NNDSS - TABLE 1AA. Poliovirus infection, nonparalytic to Psittacosis - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1AA-Poliovirus-infection-nonparalytic-/vuhn-dxkt'}"
"NNDSS - TABLE 1BB. Q fever, Total to Q fever, Chronic",j6gu-p9yd,j6gu-p9yd_1736736334.110511_NNDSS_-_TABLE_1BB._Q_fever__Total_to_Q_fever__Chronic_20250113.csv.gz,2025-01-13 02:45:34 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1BB-Q-fever-Total-to-Q-fever-Chronic/j6gu-p9yd,"NNDSS - TABLE 1BB. Q fever, Total to Q fever, Chronic - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
 Max: Maximum — Maximum case count during the previous 52 weeks.
  * Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1BB. Q fever, Total to Q fever, Chronic', 'id': 'j6gu-p9yd', 'description': ""NNDSS - TABLE 1BB. Q fever, Total to Q fever, Chronic - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1BB-Q-fever-Total-to-Q-fever-Chronic/j6gu-p9yd'}"
"NNDSS - TABLE 1BB. Q fever, Total to Q fever, Chronic",kkix-nh4v,kkix-nh4v_1736738085.199416_NNDSS_-_TABLE_1BB._Q_fever__Total_to_Q_fever__Chronic_20250113.csv.gz,2025-01-13 03:14:45 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1BB-Q-fever-Total-to-Q-fever-Chronic/kkix-nh4v,"NNDSS - TABLE 1BB. Q fever, Total to Q fever, Chronic - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notes:

•	These are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.
•	The list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.

Footnotes:

*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.",,"{'name': 'NNDSS - TABLE 1BB. Q fever, Total to Q fever, Chronic', 'id': 'kkix-nh4v', 'description': ""NNDSS - TABLE 1BB. Q fever, Total to Q fever, Chronic - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1BB-Q-fever-Total-to-Q-fever-Chronic/kkix-nh4v'}"
"NNDSS - TABLE 1BB. Q fever, Total to Q fever, Chronic",mkns-9vjv,mkns-9vjv_1736736881.382167_NNDSS_-_TABLE_1BB._Q_fever__Total_to_Q_fever__Chronic_20250113.csv.gz,2025-01-13 02:54:41 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1BB-Q-fever-Total-to-Q-fever-Chronic/mkns-9vjv,"NNDSS - TABLE 1BB. Q fever, Total to Q fever, Chronic - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1BB. Q fever, Total to Q fever, Chronic', 'id': 'mkns-9vjv', 'description': ""NNDSS - TABLE 1BB. Q fever, Total to Q fever, Chronic - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1BB-Q-fever-Total-to-Q-fever-Chronic/mkns-9vjv'}"
"NNDSS - TABLE 1BB. Q fever, Total to Q fever, Chronic",tdge-ieq8,tdge-ieq8_1736735973.773412_NNDSS_-_TABLE_1BB._Q_fever__Total_to_Q_fever__Chronic_20250113.csv.gz,2025-01-13 02:39:33 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1BB-Q-fever-Total-to-Q-fever-Chronic/tdge-ieq8,"NNDSS - TABLE 1BB. Q fever, Total to Q fever, Chronic - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
 Max: Maximum — Maximum case count during the previous 52 weeks.
  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S, a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1BB. Q fever, Total to Q fever, Chronic', 'id': 'tdge-ieq8', 'description': ""NNDSS - TABLE 1BB. Q fever, Total to Q fever, Chronic - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S, a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['demographics', 'health', 'public safety', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1BB-Q-fever-Total-to-Q-fever-Chronic/tdge-ieq8'}"
"NNDSS - TABLE 1BB. Q fever, Total to Q fever, Chronic",ygrm-jkkz,ygrm-jkkz_1736736940.791024_NNDSS_-_TABLE_1BB._Q_fever__Total_to_Q_fever__Chronic_20250113.csv.gz,2025-01-13 02:55:40 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1BB-Q-fever-Total-to-Q-fever-Chronic/ygrm-jkkz,"NNDSS - TABLE 1BB. Q fever, Total to Q fever, Chronic - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1BB. Q fever, Total to Q fever, Chronic', 'id': 'ygrm-jkkz', 'description': ""NNDSS - TABLE 1BB. Q fever, Total to Q fever, Chronic - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1BB-Q-fever-Total-to-Q-fever-Chronic/ygrm-jkkz'}"
"NNDSS - TABLE 1C. Arboviral diseases, St. Louis encephalitis virus to Western equine encephalitis virus",4ewf-ciy6,4ewf-ciy6_1736736686.895037_NNDSS_-_TABLE_1C._Arboviral_diseases__St._Louis_encephalitis_virus_to_Western_equine_encephalitis_virus_20250113.csv.gz,2025-01-13 02:51:26 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1C-Arboviral-diseases-St-Louis-encepha/4ewf-ciy6,"NNDSS - Table 1C. Arboviral diseases, neuroinvasive and non-neuroinvasive,  St. Louis encephalitis virus disease to Western equine encephalitis virus disease - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes: 
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1C. Arboviral diseases, St. Louis encephalitis virus to Western equine encephalitis virus', 'id': '4ewf-ciy6', 'description': ""NNDSS - Table 1C. Arboviral diseases, neuroinvasive and non-neuroinvasive,  St. Louis encephalitis virus disease to Western equine encephalitis virus disease - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes: \r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['health', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1C-Arboviral-diseases-St-Louis-encepha/4ewf-ciy6'}"
"NNDSS - TABLE 1C. Arboviral diseases, St. Louis encephalitis virus to Western equine encephalitis virus",7kht-czfj,7kht-czfj_1736737166.295820_NNDSS_-_TABLE_1C._Arboviral_diseases__St._Louis_encephalitis_virus_to_Western_equine_encephalitis_virus_20250113.csv.gz,2025-01-13 02:59:26 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1C-Arboviral-diseases-St-Louis-encepha/7kht-czfj,"NNDSS - Table 1C. Arboviral diseases, neuroinvasive and non-neuroinvasive,  St. Louis encephalitis virus disease to Western equine encephalitis virus disease - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes: 
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1C. Arboviral diseases, St. Louis encephalitis virus to Western equine encephalitis virus', 'id': '7kht-czfj', 'description': ""NNDSS - Table 1C. Arboviral diseases, neuroinvasive and non-neuroinvasive,  St. Louis encephalitis virus disease to Western equine encephalitis virus disease - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes: \r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1C-Arboviral-diseases-St-Louis-encepha/7kht-czfj'}"
"NNDSS - TABLE 1CC. Rabies, Animal to Rabies, Human",6kf3-4udg,6kf3-4udg_1736732772.960479_NNDSS_-_TABLE_1CC._Rabies__Animal_to_Rabies__Human_20250113.csv.gz,2025-01-13 01:46:12 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1CC-Rabies-Animal-to-Rabies-Human/6kf3-4udg,"NNDSS - TABLE 1CC. Rabies, Animal to Rabies, Human - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
 Max: Maximum — Maximum case count during the previous 52 weeks.
  * Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1CC. Rabies, Animal to Rabies, Human', 'id': '6kf3-4udg', 'description': ""NNDSS - TABLE 1CC. Rabies, Animal to Rabies, Human - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['health', 'social services', 'environment', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1CC-Rabies-Animal-to-Rabies-Human/6kf3-4udg'}"
"NNDSS - TABLE 1CC. Rabies, Animal to Rabies, Human",6uy5-4d9d,6uy5-4d9d_1736711318.797127_NNDSS_-_TABLE_1CC._Rabies__Animal_to_Rabies__Human_20250112.csv.gz,2025-01-12 19:48:38 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1CC-Rabies-Animal-to-Rabies-Human/6uy5-4d9d,"NNDSS - TABLE 1CC. Rabies, Animal to Rabies, Human - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notes:

•	These are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.
•	The list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.

Footnotes:

*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.",,"{'name': 'NNDSS - TABLE 1CC. Rabies, Animal to Rabies, Human', 'id': '6uy5-4d9d', 'description': ""NNDSS - TABLE 1CC. Rabies, Animal to Rabies, Human - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1CC-Rabies-Animal-to-Rabies-Human/6uy5-4d9d'}"
"NNDSS - TABLE 1CC. Rabies, Animal to Rabies, Human",9976-4iqj,9976-4iqj_1736732172.702922_NNDSS_-_TABLE_1CC._Rabies__Animal_to_Rabies__Human_20250113.csv.gz,2025-01-13 01:36:12 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1CC-Rabies-Animal-to-Rabies-Human/9976-4iqj,"NNDSS - TABLE 1CC. Rabies, Animal to Rabies, Human - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
 Max: Maximum — Maximum case count during the previous 52 weeks.
  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1CC. Rabies, Animal to Rabies, Human', 'id': '9976-4iqj', 'description': ""NNDSS - TABLE 1CC. Rabies, Animal to Rabies, Human - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1CC-Rabies-Animal-to-Rabies-Human/9976-4iqj'}"
"NNDSS - TABLE 1CC. Rabies, Animal to Rabies, Human",mi28-ze7h,mi28-ze7h_1736732352.973702_NNDSS_-_TABLE_1CC._Rabies__Animal_to_Rabies__Human_20250113.csv.gz,2025-01-13 01:39:12 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1CC-Rabies-Animal-to-Rabies-Human/mi28-ze7h,"NNDSS - TABLE 1CC. Rabies, Animal to Rabies, Human - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1CC. Rabies, Animal to Rabies, Human', 'id': 'mi28-ze7h', 'description': ""NNDSS - TABLE 1CC. Rabies, Animal to Rabies, Human - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1CC-Rabies-Animal-to-Rabies-Human/mi28-ze7h'}"
"NNDSS - TABLE 1CC. Rabies, Animal to Rabies, Human",usyq-s7ip,usyq-s7ip_1736734555.769999_NNDSS_-_TABLE_1CC._Rabies__Animal_to_Rabies__Human_20250113.csv.gz,2025-01-13 02:15:55 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1CC-Rabies-Animal-to-Rabies-Human/usyq-s7ip,"NNDSS - TABLE 1CC. Rabies, Animal to Rabies, Human - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1CC. Rabies, Animal to Rabies, Human', 'id': 'usyq-s7ip', 'description': ""NNDSS - TABLE 1CC. Rabies, Animal to Rabies, Human - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1CC-Rabies-Animal-to-Rabies-Human/usyq-s7ip'}"
"NNDSS - TABLE 1D. Arboviral diseases, West Nile virus to Babesiosis",fc5f-ixvg,fc5f-ixvg_1736731371.600040_NNDSS_-_TABLE_1D._Arboviral_diseases__West_Nile_virus_to_Babesiosis_20250113.csv.gz,2025-01-13 01:22:51 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1D-Arboviral-diseases-West-Nile-virus-/fc5f-ixvg,"NNDSS - Table 1D. Arboviral diseases, neuroinvasive and non-neuroinvasive, West Nile virus disease to Babesiosis - 2019.In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1D. Arboviral diseases, West Nile virus to Babesiosis', 'id': 'fc5f-ixvg', 'description': ""NNDSS - Table 1D. Arboviral diseases, neuroinvasive and non-neuroinvasive, West Nile virus disease to Babesiosis - 2019.In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1D-Arboviral-diseases-West-Nile-virus-/fc5f-ixvg'}"
"NNDSS - TABLE 1D. Arboviral diseases, West Nile virus to Babesiosis",r5u4-fzxi,r5u4-fzxi_1736734122.603750_NNDSS_-_TABLE_1D._Arboviral_diseases__West_Nile_virus_to_Babesiosis_20250113.csv.gz,2025-01-13 02:08:42 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1D-Arboviral-diseases-West-Nile-virus-/r5u4-fzxi,"NNDSS - Table 1D. Arboviral diseases, neuroinvasive and non-neuroinvasive, West Nile virus disease to Babesiosis - 2019.In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1D. Arboviral diseases, West Nile virus to Babesiosis', 'id': 'r5u4-fzxi', 'description': ""NNDSS - Table 1D. Arboviral diseases, neuroinvasive and non-neuroinvasive, West Nile virus disease to Babesiosis - 2019.In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1D-Arboviral-diseases-West-Nile-virus-/r5u4-fzxi'}"
"NNDSS - TABLE 1DD. Rubella to Rubella, congenital syndrome",2khz-k7sv,2khz-k7sv_1736736897.808515_NNDSS_-_TABLE_1DD._Rubella_to_Rubella__congenital_syndrome_20250113.csv.gz,2025-01-13 02:54:57 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1DD-Rubella-to-Rubella-congenital-synd/2khz-k7sv,"NNDSS - TABLE 1DD. Rubella to Rubella, congenital syndrome  - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1DD. Rubella to Rubella, congenital syndrome', 'id': '2khz-k7sv', 'description': ""NNDSS - TABLE 1DD. Rubella to Rubella, congenital syndrome  - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['health', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1DD-Rubella-to-Rubella-congenital-synd/2khz-k7sv'}"
"NNDSS - TABLE 1DD. Rubella to Rubella, congenital syndrome",ht29-hwxw,ht29-hwxw_1736736643.512176_NNDSS_-_TABLE_1DD._Rubella_to_Rubella__congenital_syndrome_20250113.csv.gz,2025-01-13 02:50:43 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1DD-Rubella-to-Rubella-congenital-synd/ht29-hwxw,"NNDSS - TABLE 1DD. Rubella to Rubella, congenital syndrome  - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1DD. Rubella to Rubella, congenital syndrome', 'id': 'ht29-hwxw', 'description': ""NNDSS - TABLE 1DD. Rubella to Rubella, congenital syndrome  - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['health', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1DD-Rubella-to-Rubella-congenital-synd/ht29-hwxw'}"
"NNDSS - TABLE 1DD. Rubella to Rubella, congenital syndrome",iu3b-5ngj,iu3b-5ngj_1736735627.307296_NNDSS_-_TABLE_1DD._Rubella_to_Rubella__congenital_syndrome_20250113.csv.gz,2025-01-13 02:33:47 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1DD-Rubella-to-Rubella-congenital-synd/iu3b-5ngj,"NNDSS - TABLE 1DD. Rubella to Rubella, congenital syndrome - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
 Max: Maximum — Maximum case count during the previous 52 weeks.
  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1DD. Rubella to Rubella, congenital syndrome', 'id': 'iu3b-5ngj', 'description': ""NNDSS - TABLE 1DD. Rubella to Rubella, congenital syndrome - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['demographics', 'health', 'public safety', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1DD-Rubella-to-Rubella-congenital-synd/iu3b-5ngj'}"
"NNDSS - TABLE 1DD. Rubella to Rubella, congenital syndrome",smic-9bf9,smic-9bf9_1736736253.058489_NNDSS_-_TABLE_1DD._Rubella_to_Rubella__congenital_syndrome_20250113.csv.gz,2025-01-13 02:44:13 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1DD-Rubella-to-Rubella-congenital-synd/smic-9bf9,"NNDSS - TABLE 1DD. Rubella to Rubella, congenital syndrome - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
 Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1DD. Rubella to Rubella, congenital syndrome', 'id': 'smic-9bf9', 'description': ""NNDSS - TABLE 1DD. Rubella to Rubella, congenital syndrome - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1DD-Rubella-to-Rubella-congenital-synd/smic-9bf9'}"
"NNDSS - TABLE 1DD. Rubella to Rubella, congenital syndrome",xssa-9qw5,xssa-9qw5_1736737892.559357_NNDSS_-_TABLE_1DD._Rubella_to_Rubella__congenital_syndrome_20250113.csv.gz,2025-01-13 03:11:32 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1DD-Rubella-to-Rubella-congenital-synd/xssa-9qw5,"NNDSS - TABLE 1DD. Rubella to Rubella, congenital syndrome - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notes:

•	These are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.
•	The list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.

Footnotes:

*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.",,"{'name': 'NNDSS - TABLE 1DD. Rubella to Rubella, congenital syndrome', 'id': 'xssa-9qw5', 'description': ""NNDSS - TABLE 1DD. Rubella to Rubella, congenital syndrome - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1DD-Rubella-to-Rubella-congenital-synd/xssa-9qw5'}"
"NNDSS - TABLE 1E. Botulism, Foodborne to Botulism, Other",4t6w-ibvk,4t6w-ibvk_1736733951.276933_NNDSS_-_TABLE_1E._Botulism__Foodborne_to_Botulism__Other_20250113.csv.gz,2025-01-13 02:05:51 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1E-Botulism-Foodborne-to-Botulism-Othe/4t6w-ibvk,"NNDSS - Table 1E. Botulism, Foodborne to Botulism, Other (wound & unspecified) - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1E. Botulism, Foodborne to Botulism, Other', 'id': '4t6w-ibvk', 'description': ""NNDSS - Table 1E. Botulism, Foodborne to Botulism, Other (wound & unspecified) - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1E-Botulism-Foodborne-to-Botulism-Othe/4t6w-ibvk'}"
"NNDSS - TABLE 1E. Botulism, Foodborne to Botulism, Other",qwf3-87ny,qwf3-87ny_1736736223.362873_NNDSS_-_TABLE_1E._Botulism__Foodborne_to_Botulism__Other_20250113.csv.gz,2025-01-13 02:43:43 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1E-Botulism-Foodborne-to-Botulism-Othe/qwf3-87ny,"NNDSS - Table 1E. Botulism, Foodborne to Botulism, Other (wound & unspecified) - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).","<https://data.cdc.gov/NNDSS/NNDSS-TABLE-1E-Botulism-Foodborne-to-Botulism-Othe/qwf3-87ny>; rel=""original"",
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<http://web.archive.org/web/20250211174339/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1E-Botulism-Foodborne-to-Botulism-Othe/qwf3-87ny>; rel=""memento""; datetime=""Tue, 11 Feb 2025 17:43:39 GMT""
","{'name': 'NNDSS - TABLE 1E. Botulism, Foodborne to Botulism, Other', 'id': 'qwf3-87ny', 'description': ""NNDSS - Table 1E. Botulism, Foodborne to Botulism, Other (wound & unspecified) - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1E-Botulism-Foodborne-to-Botulism-Othe/qwf3-87ny'}"
NNDSS - TABLE 1EE. Salmonella Paratyphi infection to Salmonellosis (excluding Salmonella Typhi infection and Salmonella Paratyphi infection),2vtj-68zm,2vtj-68zm_1736732186.307799_NNDSS_-_TABLE_1EE._Salmonella_Paratyphi_infection_to_Salmonellosis__excluding_Salmonella_Typhi_infection_and_Salmonella_Paratyphi_infection__20250113.csv.gz,2025-01-13 01:36:26 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1EE-Salmonella-Paratyphi-infection-to-/2vtj-68zm,"NNDSS - TABLE 1EE. Salmonella Paratyphi infection to Salmonellosis (excluding Salmonella Typhi infection and Salmonella Paratyphi infection) – 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
 Max: Maximum — Maximum case count during the previous 52 weeks.
  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). 
§ In previous years, cases were reported as Salmonellosis. Beginning in January 2019, cases began to be reported as Salmonella Paratyphi infection.
¶ In previous years, cases were reported as typhoid fever. Beginning in January 2019, cases began to be reported as Salmonella Typhi infection.
** In previous years, cases were reported as Salmonellosis (excluding paratyphoid fever and typhoid fever). Beginning in January 2019, cases began to be reported as Salmonellosis (excluding Salmonella Typhi infection and Salmonella Paratyphi infection).",,"{'name': 'NNDSS - TABLE 1EE. Salmonella Paratyphi infection to Salmonellosis (excluding Salmonella Typhi infection and Salmonella Paratyphi infection)', 'id': '2vtj-68zm', 'description': ""NNDSS - TABLE 1EE. Salmonella Paratyphi infection to Salmonellosis (excluding Salmonella Typhi infection and Salmonella Paratyphi infection) – 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \n§ In previous years, cases were reported as Salmonellosis. Beginning in January 2019, cases began to be reported as Salmonella Paratyphi infection.\n¶ In previous years, cases were reported as typhoid fever. Beginning in January 2019, cases began to be reported as Salmonella Typhi infection.\n** In previous years, cases were reported as Salmonellosis (excluding paratyphoid fever and typhoid fever). Beginning in January 2019, cases began to be reported as Salmonellosis (excluding Salmonella Typhi infection and Salmonella Paratyphi infection)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1EE-Salmonella-Paratyphi-infection-to-/2vtj-68zm'}"
NNDSS - TABLE 1EE. Salmonella Paratyphi infection to Salmonellosis (excluding Salmonella Typhi infection and Salmonella Paratyphi infection),fuzh-wm4c,fuzh-wm4c_1736736656.925177_NNDSS_-_TABLE_1EE._Salmonella_Paratyphi_infection_to_Salmonellosis__excluding_Salmonella_Typhi_infection_and_Salmonella_Paratyphi_infection__20250113.csv.gz,2025-01-13 02:50:56 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1EE-Salmonella-Paratyphi-infection-to-/fuzh-wm4c,"NNDSS - TABLE 1EE. Salmonella Paratyphi infection to Salmonellosis (excluding Salmonella Typhi infection and Salmonella Paratyphi infection) - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). 
§ In previous years, cases were reported as Salmonellosis. Beginning in January 2019, cases began to be reported as Salmonella Paratyphi infection.
¶ In previous years, cases were reported as typhoid fever. Beginning in January 2019, cases began to be reported as Salmonella Typhi infection.
** In previous years, cases were reported as Salmonellosis (excluding paratyphoid fever and typhoid fever). Beginning in January 2019, cases began to be reported as Salmonellosis (excluding Salmonella Typhi infection and Salmonella Paratyphi infection).",,"{'name': 'NNDSS - TABLE 1EE. Salmonella Paratyphi infection to Salmonellosis (excluding Salmonella Typhi infection and Salmonella Paratyphi infection)', 'id': 'fuzh-wm4c', 'description': ""NNDSS - TABLE 1EE. Salmonella Paratyphi infection to Salmonellosis (excluding Salmonella Typhi infection and Salmonella Paratyphi infection) - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \r\n§ In previous years, cases were reported as Salmonellosis. Beginning in January 2019, cases began to be reported as Salmonella Paratyphi infection.\r\n¶ In previous years, cases were reported as typhoid fever. Beginning in January 2019, cases began to be reported as Salmonella Typhi infection.\r\n** In previous years, cases were reported as Salmonellosis (excluding paratyphoid fever and typhoid fever). Beginning in January 2019, cases began to be reported as Salmonellosis (excluding Salmonella Typhi infection and Salmonella Paratyphi infection)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1EE-Salmonella-Paratyphi-infection-to-/fuzh-wm4c'}"
NNDSS - TABLE 1EE. Salmonella Paratyphi infection to Salmonellosis (excluding Salmonella Typhi infection and Salmonella Paratyphi infection),hs59-amfp,hs59-amfp_1736731635.812858_NNDSS_-_TABLE_1EE._Salmonella_Paratyphi_infection_to_Salmonellosis__excluding_Salmonella_Typhi_infection_and_Salmonella_Paratyphi_infection__20250113.csv.gz,2025-01-13 01:27:15 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1EE-Salmonella-Paratyphi-infection-to-/hs59-amfp,"NNDSS - TABLE 1EE. Salmonella Paratyphi infection to Salmonellosis (excluding Salmonella Typhi infection and Salmonella Paratyphi infection) - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). 
§ In previous years, cases were reported as Salmonellosis. Beginning in January 2019, cases began to be reported as Salmonella Paratyphi infection.
¶ In previous years, cases were reported as typhoid fever. Beginning in January 2019, cases began to be reported as Salmonella Typhi infection.
** In previous years, cases were reported as Salmonellosis (excluding paratyphoid fever and typhoid fever). Beginning in January 2019, cases began to be reported as Salmonellosis (excluding Salmonella Typhi infection and Salmonella Paratyphi infection).",,"{'name': 'NNDSS - TABLE 1EE. Salmonella Paratyphi infection to Salmonellosis (excluding Salmonella Typhi infection and Salmonella Paratyphi infection)', 'id': 'hs59-amfp', 'description': ""NNDSS - TABLE 1EE. Salmonella Paratyphi infection to Salmonellosis (excluding Salmonella Typhi infection and Salmonella Paratyphi infection) - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \r\n§ In previous years, cases were reported as Salmonellosis. Beginning in January 2019, cases began to be reported as Salmonella Paratyphi infection.\r\n¶ In previous years, cases were reported as typhoid fever. Beginning in January 2019, cases began to be reported as Salmonella Typhi infection.\r\n** In previous years, cases were reported as Salmonellosis (excluding paratyphoid fever and typhoid fever). Beginning in January 2019, cases began to be reported as Salmonellosis (excluding Salmonella Typhi infection and Salmonella Paratyphi infection)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1EE-Salmonella-Paratyphi-infection-to-/hs59-amfp'}"
NNDSS - TABLE 1EE. Salmonella Paratyphi infection to Salmonellosis (excluding Salmonella Typhi infection and Salmonella Paratyphi infection),mvaf-qxac,mvaf-qxac_1736735498.374577_NNDSS_-_TABLE_1EE._Salmonella_Paratyphi_infection_to_Salmonellosis__excluding_Salmonella_Typhi_infection_and_Salmonella_Paratyphi_infection__20250113.csv.gz,2025-01-13 02:31:38 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1EE-Salmonella-Paratyphi-infection-to-/mvaf-qxac,"NNDSS - TABLE 1EE. Salmonella Paratyphi infection to Salmonellosis (excluding Salmonella Typhi infection and Salmonella Paratyphi infection) – 2020.  In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). 
§ In previous years, cases were reported as Salmonellosis. Beginning in January 2019, cases began to be reported as Salmonella Paratyphi infection.
¶ In previous years, cases were reported as typhoid fever. Beginning in January 2019, cases began to be reported as Salmonella Typhi infection.
** In previous years, cases were reported as Salmonellosis (excluding paratyphoid fever and typhoid fever). Beginning in January 2019, cases began to be reported as Salmonellosis (excluding Salmonella Typhi infection and Salmonella Paratyphi infection).","<https://data.cdc.gov/NNDSS/NNDSS-TABLE-1EE-Salmonella-Paratyphi-infection-to-/mvaf-qxac>; rel=""original"",
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<http://web.archive.org/web/20220524215830/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1EE-Salmonella-Paratyphi-infection-to-/mvaf-qxac>; rel=""memento""; datetime=""Tue, 24 May 2022 21:58:30 GMT"",
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","{'name': 'NNDSS - TABLE 1EE. Salmonella Paratyphi infection to Salmonellosis (excluding Salmonella Typhi infection and Salmonella Paratyphi infection)', 'id': 'mvaf-qxac', 'description': ""NNDSS - TABLE 1EE. Salmonella Paratyphi infection to Salmonellosis (excluding Salmonella Typhi infection and Salmonella Paratyphi infection) – 2020.  In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \n§ In previous years, cases were reported as Salmonellosis. Beginning in January 2019, cases began to be reported as Salmonella Paratyphi infection.\n¶ In previous years, cases were reported as typhoid fever. Beginning in January 2019, cases began to be reported as Salmonella Typhi infection.\n** In previous years, cases were reported as Salmonellosis (excluding paratyphoid fever and typhoid fever). Beginning in January 2019, cases began to be reported as Salmonellosis (excluding Salmonella Typhi infection and Salmonella Paratyphi infection)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1EE-Salmonella-Paratyphi-infection-to-/mvaf-qxac'}"
NNDSS - TABLE 1EE. Salmonella Paratyphi infection to Salmonellosis (excluding Salmonella Typhi infection and Salmonella Paratyphi infection),rcdh-n3ej,rcdh-n3ej_1736737849.122326_NNDSS_-_TABLE_1EE._Salmonella_Paratyphi_infection_to_Salmonellosis__excluding_Salmonella_Typhi_infection_and_Salmonella_Paratyphi_infection__20250113.csv.gz,2025-01-13 03:10:49 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1EE-Salmonella-Paratyphi-infection-to-/rcdh-n3ej,"NNDSS - TABLE 1EE. Salmonella Paratyphi infection to Salmonellosis (excluding Salmonella Typhi infection and Salmonella Paratyphi infection) – 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notes:

•	These are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.
•	The list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.

Footnotes:

*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.",,"{'name': 'NNDSS - TABLE 1EE. Salmonella Paratyphi infection to Salmonellosis (excluding Salmonella Typhi infection and Salmonella Paratyphi infection)', 'id': 'rcdh-n3ej', 'description': ""NNDSS - TABLE 1EE. Salmonella Paratyphi infection to Salmonellosis (excluding Salmonella Typhi infection and Salmonella Paratyphi infection) – 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1EE-Salmonella-Paratyphi-infection-to-/rcdh-n3ej'}"
"NNDSS - TABLE 1F. Brucellosis to Candida auris, clinical",8rsa-pnhx,8rsa-pnhx_1736734109.187740_NNDSS_-_TABLE_1F._Brucellosis_to_Candida_auris__clinical_20250113.csv.gz,2025-01-13 02:08:29 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1F-Brucellosis-to-Candida-auris-clinic/8rsa-pnhx,"NNDSS - Table 1F. Brucellosis to Candida auris, clinical - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). 
§ Reporting jurisdictions were informed CDC could receive data for this condition in August 2019. Please note there will be a delay in reporting of case notifications for this condition to CDC.",,"{'name': 'NNDSS - TABLE 1F. Brucellosis to Candida auris, clinical', 'id': '8rsa-pnhx', 'description': ""NNDSS - Table 1F. Brucellosis to Candida auris, clinical - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \n§ Reporting jurisdictions were informed CDC could receive data for this condition in August 2019. Please note there will be a delay in reporting of case notifications for this condition to CDC."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1F-Brucellosis-to-Candida-auris-clinic/8rsa-pnhx'}"
"NNDSS - TABLE 1F. Brucellosis to Candida auris, clinical",w54d-atna,w54d-atna_1736735057.712705_NNDSS_-_TABLE_1F._Brucellosis_to_Candida_auris__clinical_20250113.csv.gz,2025-01-13 02:24:17 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1F-Brucellosis-to-Candida-auris-clinic/w54d-atna,"NNDSS - Table 1F. Brucellosis to Candida auris, clinical - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). 
§ Candida auris, clinical colonization/screening cases are not included in this table. These data are available on the Mycotic Diseases Branch's Tracking Candida auris page (https://www.cdc.gov/fungal/candida-auris/tracking-c-auris.html).",,"{'name': 'NNDSS - TABLE 1F. Brucellosis to Candida auris, clinical', 'id': 'w54d-atna', 'description': ""NNDSS - Table 1F. Brucellosis to Candida auris, clinical - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \r\n§ Candida auris, clinical colonization/screening cases are not included in this table. These data are available on the Mycotic Diseases Branch's Tracking Candida auris page (https://www.cdc.gov/fungal/candida-auris/tracking-c-auris.html)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1F-Brucellosis-to-Candida-auris-clinic/w54d-atna'}"
NNDSS - TABLE 1FF. Severe acute respiratory syndrome-associated coronavirus disease to Shigellosis,5wqm-pm27,5wqm-pm27_1736732475.360287_NNDSS_-_TABLE_1FF._Severe_acute_respiratory_syndrome-associated_coronavirus_disease_to_Shigellosis_20250113.csv.gz,2025-01-13 01:41:15 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1FF-Severe-acute-respiratory-syndrome-/5wqm-pm27,"NNDSS - TABLE 1FF. Severe acute respiratory syndrome-associated coronavirus disease to Shigellosis - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1FF. Severe acute respiratory syndrome-associated coronavirus disease to Shigellosis', 'id': '5wqm-pm27', 'description': ""NNDSS - TABLE 1FF. Severe acute respiratory syndrome-associated coronavirus disease to Shigellosis - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['health', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1FF-Severe-acute-respiratory-syndrome-/5wqm-pm27'}"
NNDSS - TABLE 1FF. Severe acute respiratory syndrome-associated coronavirus disease to Shigellosis,cw4r-vcr3,cw4r-vcr3_1736732241.120355_NNDSS_-_TABLE_1FF._Severe_acute_respiratory_syndrome-associated_coronavirus_disease_to_Shigellosis_20250113.csv.gz,2025-01-13 01:37:21 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1FF-Severe-acute-respiratory-syndrome-/cw4r-vcr3,"NNDSS - TABLE 1FF. Severe acute respiratory syndrome-associated coronavirus disease to Shigellosis – 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
 Max: Maximum — Maximum case count during the previous 52 weeks.
  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1FF. Severe acute respiratory syndrome-associated coronavirus disease to Shigellosis', 'id': 'cw4r-vcr3', 'description': ""NNDSS - TABLE 1FF. Severe acute respiratory syndrome-associated coronavirus disease to Shigellosis – 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1FF-Severe-acute-respiratory-syndrome-/cw4r-vcr3'}"
NNDSS - TABLE 1FF. Severe acute respiratory syndrome-associated coronavirus disease to Shigellosis,dkyk-v5f5,dkyk-v5f5_1736737822.756777_NNDSS_-_TABLE_1FF._Severe_acute_respiratory_syndrome-associated_coronavirus_disease_to_Shigellosis_20250113.csv.gz,2025-01-13 03:10:22 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1FF-Severe-acute-respiratory-syndrome-/dkyk-v5f5,"NNDSS - TABLE 1FF. Severe acute respiratory syndrome-associated coronavirus disease to Shigellosis – 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notes:

•	These are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.
•	The list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.

Footnotes:

*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.",,"{'name': 'NNDSS - TABLE 1FF. Severe acute respiratory syndrome-associated coronavirus disease to Shigellosis', 'id': 'dkyk-v5f5', 'description': ""NNDSS - TABLE 1FF. Severe acute respiratory syndrome-associated coronavirus disease to Shigellosis – 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1FF-Severe-acute-respiratory-syndrome-/dkyk-v5f5'}"
NNDSS - TABLE 1FF. Severe acute respiratory syndrome-associated coronavirus disease to Shigellosis,mvsw-zuaf,mvsw-zuaf_1736732530.055774_NNDSS_-_TABLE_1FF._Severe_acute_respiratory_syndrome-associated_coronavirus_disease_to_Shigellosis_20250113.csv.gz,2025-01-13 01:42:10 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1FF-Severe-acute-respiratory-syndrome-/mvsw-zuaf,"NNDSS - TABLE 1FF. Severe acute respiratory syndrome-associated coronavirus disease to Shigellosis - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).","<https://data.cdc.gov/NNDSS/NNDSS-TABLE-1FF-Severe-acute-respiratory-syndrome-/mvsw-zuaf>; rel=""original"",
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<http://web.archive.org/web/20250206095153/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1FF-Severe-acute-respiratory-syndrome-/mvsw-zuaf>; rel=""memento""; datetime=""Thu, 06 Feb 2025 09:51:53 GMT""
","{'name': 'NNDSS - TABLE 1FF. Severe acute respiratory syndrome-associated coronavirus disease to Shigellosis', 'id': 'mvsw-zuaf', 'description': ""NNDSS - TABLE 1FF. Severe acute respiratory syndrome-associated coronavirus disease to Shigellosis - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1FF-Severe-acute-respiratory-syndrome-/mvsw-zuaf'}"
NNDSS - TABLE 1FF. Severe acute respiratory syndrome-associated coronavirus disease to Shigellosis,x8jf-txib,x8jf-txib_1736712996.477200_NNDSS_-_TABLE_1FF._Severe_acute_respiratory_syndrome-associated_coronavirus_disease_to_Shigellosis_20250112.csv.gz,2025-01-12 20:16:36 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1FF-Severe-acute-respiratory-syndrome-/x8jf-txib,"Notice: For data on COVID-19 in the United States, please see https://www.cdc.gov/coronavirus/2019-ncov/cases-in-us.html.

Notice: Data from California published in week 29 for years 2019 and 2020 were incomplete when originally published on July 24, 2020. On August 4, 2020, incomplete case counts were replaced with a ""U"" indicating case counts are not available for specified time period. 

NNDSS - TABLE 1FF. Severe acute respiratory syndrome-associated coronavirus disease to Shigellosis – 2020.  In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1FF. Severe acute respiratory syndrome-associated coronavirus disease to Shigellosis', 'id': 'x8jf-txib', 'description': 'Notice: For data on COVID-19 in the United States, please see https://www.cdc.gov/coronavirus/2019-ncov/cases-in-us.html.\n\nNotice: Data from California published in week 29 for years 2019 and 2020 were incomplete when originally published on July 24, 2020. On August 4, 2020, incomplete case counts were replaced with a ""U"" indicating case counts are not available for specified time period. \n\nNNDSS - TABLE 1FF. Severe acute respiratory syndrome-associated coronavirus disease to Shigellosis – 2020.  In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case\'s country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the \'Non-U.S. Residents\' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1FF-Severe-acute-respiratory-syndrome-/x8jf-txib'}"
NNDSS - TABLE 1G. Carbapenemase-producing carbapenem-resistant Enterobacteriaceae to Chancroid,kx9y-asbg,kx9y-asbg_1736734637.837958_NNDSS_-_TABLE_1G._Carbapenemase-producing_carbapenem-resistant_Enterobacteriaceae_to_Chancroid_20250113.csv.gz,2025-01-13 02:17:17 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1G-Carbapenemase-producing-carbapenem-/kx9y-asbg,"NNDSS - Table 1G. Carbapenemase-producing carbapenem-resistant Enterobacteriaceae to Chancroid - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). 
§ Reporting jurisdictions were informed CDC could receive data for this condition in August 2019. Please note there will be a delay in reporting of case notifications for this condition to CDC.",,"{'name': 'NNDSS - TABLE 1G. Carbapenemase-producing carbapenem-resistant Enterobacteriaceae to Chancroid', 'id': 'kx9y-asbg', 'description': ""NNDSS - Table 1G. Carbapenemase-producing carbapenem-resistant Enterobacteriaceae to Chancroid - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \n§ Reporting jurisdictions were informed CDC could receive data for this condition in August 2019. Please note there will be a delay in reporting of case notifications for this condition to CDC."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1G-Carbapenemase-producing-carbapenem-/kx9y-asbg'}"
NNDSS - TABLE 1G. Carbapenemase-producing carbapenem-resistant Enterobacteriaceae to Chancroid,phwv-i65c,phwv-i65c_1736736602.666634_NNDSS_-_TABLE_1G._Carbapenemase-producing_carbapenem-resistant_Enterobacteriaceae_to_Chancroid_20250113.csv.gz,2025-01-13 02:50:02 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1G-Carbapenemase-producing-carbapenem-/phwv-i65c,"NNDSS - Table 1G. Carbapenemase-producing carbapenem-resistant Enterobacteriaceae to Chancroid - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). 
§ Data for Carbapenemase-producing Carbapenem-resistant enterobacteriaceae (CP-CRE) will be displayed in this table after the CDC obtains Office of Management and Budget Paperwork Reduction Act approval to receive data for this condition.",,"{'name': 'NNDSS - TABLE 1G. Carbapenemase-producing carbapenem-resistant Enterobacteriaceae to Chancroid', 'id': 'phwv-i65c', 'description': ""NNDSS - Table 1G. Carbapenemase-producing carbapenem-resistant Enterobacteriaceae to Chancroid - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \r\n§ Data for Carbapenemase-producing Carbapenem-resistant enterobacteriaceae (CP-CRE) will be displayed in this table after the CDC obtains Office of Management and Budget Paperwork Reduction Act approval to receive data for this condition."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1G-Carbapenemase-producing-carbapenem-/phwv-i65c'}"
NNDSS - TABLE 1GG. Smallpox to Streptococcal toxic shock syndrome,56mi-d4wu,56mi-d4wu_1736732932.017867_NNDSS_-_TABLE_1GG._Smallpox_to_Streptococcal_toxic_shock_syndrome_20250113.csv.gz,2025-01-13 01:48:52 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1GG-Smallpox-to-Streptococcal-toxic-sh/56mi-d4wu,"NNDSS - TABLE 1GG. Smallpox to Streptococcal toxic shock syndrome – 2020.  In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1GG. Smallpox to Streptococcal toxic shock syndrome', 'id': '56mi-d4wu', 'description': ""NNDSS - TABLE 1GG. Smallpox to Streptococcal toxic shock syndrome – 2020.  In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1GG-Smallpox-to-Streptococcal-toxic-sh/56mi-d4wu'}"
NNDSS - TABLE 1GG. Smallpox to Streptococcal toxic shock syndrome,7rci-qmm9,7rci-qmm9_1736732557.550473_NNDSS_-_TABLE_1GG._Smallpox_to_Streptococcal_toxic_shock_syndrome_20250113.csv.gz,2025-01-13 01:42:37 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1GG-Smallpox-to-Streptococcal-toxic-sh/7rci-qmm9,"NNDSS - TABLE 1GG. Smallpox to Streptococcal toxic shock syndrome – 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
 Max: Maximum — Maximum case count during the previous 52 weeks.
  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1GG. Smallpox to Streptococcal toxic shock syndrome', 'id': '7rci-qmm9', 'description': ""NNDSS - TABLE 1GG. Smallpox to Streptococcal toxic shock syndrome – 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1GG-Smallpox-to-Streptococcal-toxic-sh/7rci-qmm9'}"
NNDSS - TABLE 1GG. Smallpox to Streptococcal toxic shock syndrome,uw7a-a5t8,uw7a-a5t8_1736737109.258437_NNDSS_-_TABLE_1GG._Smallpox_to_Streptococcal_toxic_shock_syndrome_20250113.csv.gz,2025-01-13 02:58:29 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1GG-Smallpox-to-Streptococcal-toxic-sh/uw7a-a5t8,"NNDSS - TABLE 1GG. Smallpox to Streptococcal toxic shock syndrome – 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notes:

•	These are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.
•	The list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.

Footnotes:

*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.",,"{'name': 'NNDSS - TABLE 1GG. Smallpox to Streptococcal toxic shock syndrome', 'id': 'uw7a-a5t8', 'description': ""NNDSS - TABLE 1GG. Smallpox to Streptococcal toxic shock syndrome – 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1GG-Smallpox-to-Streptococcal-toxic-sh/uw7a-a5t8'}"
"NNDSS - TABLE 1GG. Spotted fever rickettsiosis, Confirmed to Smallpox",mv87-mh7a,mv87-mh7a_1736735987.303120_NNDSS_-_TABLE_1GG._Spotted_fever_rickettsiosis__Confirmed_to_Smallpox_20250113.csv.gz,2025-01-13 02:39:47 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1GG-Spotted-fever-rickettsiosis-Confir/mv87-mh7a,"NNDSS - TABLE 1GG.  Spotted fever rickettsiosis, Confirmed to Smallpox - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1GG. Spotted fever rickettsiosis, Confirmed to Smallpox', 'id': 'mv87-mh7a', 'description': ""NNDSS - TABLE 1GG.  Spotted fever rickettsiosis, Confirmed to Smallpox - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1GG-Spotted-fever-rickettsiosis-Confir/mv87-mh7a'}"
"NNDSS - TABLE 1GG. Spotted fever rickettsiosis, Confirmed to Smallpox",rihk-iawc,rihk-iawc_1736736239.531009_NNDSS_-_TABLE_1GG._Spotted_fever_rickettsiosis__Confirmed_to_Smallpox_20250113.csv.gz,2025-01-13 02:43:59 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1GG-Spotted-fever-rickettsiosis-Confir/rihk-iawc,"NNDSS - TABLE 1GG.  Spotted fever rickettsiosis, Confirmed to Smallpox - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1GG. Spotted fever rickettsiosis, Confirmed to Smallpox', 'id': 'rihk-iawc', 'description': ""NNDSS - TABLE 1GG.  Spotted fever rickettsiosis, Confirmed to Smallpox - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['health', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1GG-Spotted-fever-rickettsiosis-Confir/rihk-iawc'}"
NNDSS - TABLE 1H. Cholera to Coccidioidomycosis,wycc-ffia,wycc-ffia_1736734735.559703_NNDSS_-_TABLE_1H._Cholera_to_Coccidioidomycosis_20250113.csv.gz,2025-01-13 02:18:55 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1H-Cholera-to-Coccidioidomycosis/wycc-ffia,"NNDSS - Table 1H. Cholera to Coccidioidomycosis - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html 

Footnotes: 
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).","<https://data.cdc.gov/NNDSS/NNDSS-TABLE-1H-Cholera-to-Coccidioidomycosis/wycc-ffia>; rel=""original"",
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<http://web.archive.org/web/20250201015430/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1H-Cholera-to-Coccidioidomycosis/wycc-ffia>; rel=""memento""; datetime=""Sat, 01 Feb 2025 01:54:30 GMT"",
<http://web.archive.org/web/20250201211158/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1H-Cholera-to-Coccidioidomycosis/wycc-ffia>; rel=""memento""; datetime=""Sat, 01 Feb 2025 21:11:58 GMT"",
<http://web.archive.org/web/20250202081056/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1H-Cholera-to-Coccidioidomycosis/wycc-ffia>; rel=""memento""; datetime=""Sun, 02 Feb 2025 08:10:56 GMT"",
<http://web.archive.org/web/20250203034602/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1H-Cholera-to-Coccidioidomycosis/wycc-ffia>; rel=""memento""; datetime=""Mon, 03 Feb 2025 03:46:02 GMT"",
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<http://web.archive.org/web/20250209175519/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1H-Cholera-to-Coccidioidomycosis/wycc-ffia>; rel=""memento""; datetime=""Sun, 09 Feb 2025 17:55:19 GMT"",
<http://web.archive.org/web/20250210162752/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1H-Cholera-to-Coccidioidomycosis/wycc-ffia>; rel=""memento""; datetime=""Mon, 10 Feb 2025 16:27:52 GMT""
","{'name': 'NNDSS - TABLE 1H. Cholera to Coccidioidomycosis', 'id': 'wycc-ffia', 'description': ""NNDSS - Table 1H. Cholera to Coccidioidomycosis - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html \r\n\r\nFootnotes: \r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['health', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1H-Cholera-to-Coccidioidomycosis/wycc-ffia'}"
NNDSS - TABLE 1H. Cholera to Coccidioidomycosis,xsi2-33p5,xsi2-33p5_1736736014.259067_NNDSS_-_TABLE_1H._Cholera_to_Coccidioidomycosis_20250113.csv.gz,2025-01-13 02:40:14 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1H-Cholera-to-Coccidioidomycosis/xsi2-33p5,"NNDSS - Table 1H. Cholera to Coccidioidomycosis - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html 

Footnotes: 
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1H. Cholera to Coccidioidomycosis', 'id': 'xsi2-33p5', 'description': ""NNDSS - Table 1H. Cholera to Coccidioidomycosis - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html \r\n\r\nFootnotes: \r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1H-Cholera-to-Coccidioidomycosis/xsi2-33p5'}"
"NNDSS - TABLE 1HH. Streptococcal toxic shock syndrome to Syphilis, Primary and Secondary",ap9g-4wiq,ap9g-4wiq_1736734936.014542_NNDSS_-_TABLE_1HH._Streptococcal_toxic_shock_syndrome_to_Syphilis__Primary_and_Secondary_20250113.csv.gz,2025-01-13 02:22:16 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1HH-Streptococcal-toxic-shock-syndrome/ap9g-4wiq,"NNDSS - TABLE 1HH. Streptococcal toxic shock syndrome to Syphilis, Primary and Secondary - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).","<https://data.cdc.gov/NNDSS/NNDSS-TABLE-1HH-Streptococcal-toxic-shock-syndrome/ap9g-4wiq>; rel=""original"",
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<http://web.archive.org/web/20250207094553/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1HH-Streptococcal-toxic-shock-syndrome/ap9g-4wiq>; rel=""memento""; datetime=""Fri, 07 Feb 2025 09:45:53 GMT""
","{'name': 'NNDSS - TABLE 1HH. Streptococcal toxic shock syndrome to Syphilis, Primary and Secondary', 'id': 'ap9g-4wiq', 'description': ""NNDSS - TABLE 1HH. Streptococcal toxic shock syndrome to Syphilis, Primary and Secondary - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1HH-Streptococcal-toxic-shock-syndrome/ap9g-4wiq'}"
"NNDSS - TABLE 1HH. Streptococcal toxic shock syndrome to Syphilis, Primary and Secondary",b6np-zdqj,b6np-zdqj_1736734949.380625_NNDSS_-_TABLE_1HH._Streptococcal_toxic_shock_syndrome_to_Syphilis__Primary_and_Secondary_20250113.csv.gz,2025-01-13 02:22:29 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1HH-Streptococcal-toxic-shock-syndrome/b6np-zdqj,"NNDSS - TABLE 1HH. Streptococcal toxic shock syndrome to Syphilis, Primary and Secondary - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1HH. Streptococcal toxic shock syndrome to Syphilis, Primary and Secondary', 'id': 'b6np-zdqj', 'description': ""NNDSS - TABLE 1HH. Streptococcal toxic shock syndrome to Syphilis, Primary and Secondary - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1HH-Streptococcal-toxic-shock-syndrome/b6np-zdqj'}"
"NNDSS - TABLE 1HH. Syphilis, Congenital to Syphilis, Primary and Secondary",6ie8-bpiy,6ie8-bpiy_1736729091.177013_NNDSS_-_TABLE_1HH._Syphilis__Congenital_to_Syphilis__Primary_and_Secondary_20250113.csv.gz,2025-01-13 00:44:51 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1HH-Syphilis-Congenital-to-Syphilis-Pr/6ie8-bpiy,"NNDSS - TABLE 1HH. Syphilis, Congenital to Syphilis, Primary and Secondary – 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
 Max: Maximum — Maximum case count during the previous 52 weeks.
  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1HH. Syphilis, Congenital to Syphilis, Primary and Secondary', 'id': '6ie8-bpiy', 'description': ""NNDSS - TABLE 1HH. Syphilis, Congenital to Syphilis, Primary and Secondary – 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['demographics', 'health', 'public safety', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1HH-Syphilis-Congenital-to-Syphilis-Pr/6ie8-bpiy'}"
"NNDSS - TABLE 1HH. Syphilis, Congenital to Syphilis, Primary and Secondary",82nv-dn3y,82nv-dn3y_1736732681.365521_NNDSS_-_TABLE_1HH._Syphilis__Congenital_to_Syphilis__Primary_and_Secondary_20250113.csv.gz,2025-01-13 01:44:41 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1HH-Syphilis-Congenital-to-Syphilis-Pr/82nv-dn3y,"NNDSS - TABLE 1HH. Syphilis, Congenital to Syphilis, Primary and Secondary – 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notes:

•	These are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.
•	The list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.

Footnotes:

*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.",,"{'name': 'NNDSS - TABLE 1HH. Syphilis, Congenital to Syphilis, Primary and Secondary', 'id': '82nv-dn3y', 'description': ""NNDSS - TABLE 1HH. Syphilis, Congenital to Syphilis, Primary and Secondary – 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1HH-Syphilis-Congenital-to-Syphilis-Pr/82nv-dn3y'}"
"NNDSS - TABLE 1HH. Syphilis, Congenital to Syphilis, Primary and Secondary",paqx-33a8,paqx-33a8_1736728867.693135_NNDSS_-_TABLE_1HH._Syphilis__Congenital_to_Syphilis__Primary_and_Secondary_20250113.csv.gz,2025-01-13 00:41:07 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1HH-Syphilis-Congenital-to-Syphilis-Pr/paqx-33a8,"NNDSS - TABLE 1HH. Syphilis, Congenital to Syphilis, Primary and Secondary – 2020.  In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
 Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
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","{'name': 'NNDSS - TABLE 1HH. Syphilis, Congenital to Syphilis, Primary and Secondary', 'id': 'paqx-33a8', 'description': ""NNDSS - TABLE 1HH. Syphilis, Congenital to Syphilis, Primary and Secondary – 2020.  In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1HH-Syphilis-Congenital-to-Syphilis-Pr/paqx-33a8'}"
NNDSS - TABLE 1I. Cryptosporidiosis to Cyclosporiasis,khjf-tq2k,khjf-tq2k_1736736586.550563_NNDSS_-_TABLE_1I._Cryptosporidiosis_to_Cyclosporiasis_20250113.csv.gz,2025-01-13 02:49:46 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1I-Cryptosporidiosis-to-Cyclosporiasis/khjf-tq2k,"NNDSS - Table 1I. Cryptosporidiosis to Cyclosporiasis - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1I. Cryptosporidiosis to Cyclosporiasis', 'id': 'khjf-tq2k', 'description': ""NNDSS - Table 1I. Cryptosporidiosis to Cyclosporiasis - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1I-Cryptosporidiosis-to-Cyclosporiasis/khjf-tq2k'}"
NNDSS - TABLE 1I. Cryptosporidiosis to Cyclosporiasis,p8ia-4jqj,p8ia-4jqj_1736736456.137140_NNDSS_-_TABLE_1I._Cryptosporidiosis_to_Cyclosporiasis_20250113.csv.gz,2025-01-13 02:47:36 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1I-Cryptosporidiosis-to-Cyclosporiasis/p8ia-4jqj,"NNDSS - Table 1I. Cryptosporidiosis to Cyclosporiasis - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1I. Cryptosporidiosis to Cyclosporiasis', 'id': 'p8ia-4jqj', 'description': ""NNDSS - Table 1I. Cryptosporidiosis to Cyclosporiasis - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1I-Cryptosporidiosis-to-Cyclosporiasis/p8ia-4jqj'}"
NNDSS - TABLE 1II. Tetanus to Trichinellosis,2993-4v7d,2993-4v7d_1736735600.241352_NNDSS_-_TABLE_1II._Tetanus_to_Trichinellosis_20250113.csv.gz,2025-01-13 02:33:20 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1II-Tetanus-to-Trichinellosis/2993-4v7d,"NNDSS - TABLE 1II. Tetanus to Trichinellosis - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1II. Tetanus to Trichinellosis', 'id': '2993-4v7d', 'description': ""NNDSS - TABLE 1II. Tetanus to Trichinellosis - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1II-Tetanus-to-Trichinellosis/2993-4v7d'}"
NNDSS - TABLE 1II. Tetanus to Trichinellosis,6yz5-ufy2,6yz5-ufy2_1736736041.219088_NNDSS_-_TABLE_1II._Tetanus_to_Trichinellosis_20250113.csv.gz,2025-01-13 02:40:41 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1II-Tetanus-to-Trichinellosis/6yz5-ufy2,"NNDSS - TABLE 1II. Tetanus to Trichinellosis - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1II. Tetanus to Trichinellosis', 'id': '6yz5-ufy2', 'description': ""NNDSS - TABLE 1II. Tetanus to Trichinellosis - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1II-Tetanus-to-Trichinellosis/6yz5-ufy2'}"
NNDSS - TABLE 1II. Tetanus to Trichinellosis,9x7v-wy9u,9x7v-wy9u_1736734651.257204_NNDSS_-_TABLE_1II._Tetanus_to_Trichinellosis_20250113.csv.gz,2025-01-13 02:17:31 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1II-Tetanus-to-Trichinellosis/9x7v-wy9u,"NNDSS - TABLE 1II. Tetanus to Trichinellosis – 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.

Note:
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
 Max: Maximum — Maximum case count during the previous 52 weeks.
  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1II. Tetanus to Trichinellosis', 'id': '9x7v-wy9u', 'description': ""NNDSS - TABLE 1II. Tetanus to Trichinellosis – 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote:\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.\n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1II-Tetanus-to-Trichinellosis/9x7v-wy9u'}"
NNDSS - TABLE 1II. Tetanus to Trichinellosis,hyak-nxqs,hyak-nxqs_1736711508.124610_NNDSS_-_TABLE_1II._Tetanus_to_Trichinellosis_20250112.csv.gz,2025-01-12 19:51:48 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1II-Tetanus-to-Trichinellosis/hyak-nxqs,"NNDSS - TABLE 1II. Tetanus to Trichinellosis – 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notes:

•	These are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.
•	The list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.

Footnotes:

*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.",,"{'name': 'NNDSS - TABLE 1II. Tetanus to Trichinellosis', 'id': 'hyak-nxqs', 'description': ""NNDSS - TABLE 1II. Tetanus to Trichinellosis – 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1II-Tetanus-to-Trichinellosis/hyak-nxqs'}"
NNDSS - TABLE 1II. Tetanus to Trichinellosis,qbrk-85z2,qbrk-85z2_1736735586.819481_NNDSS_-_TABLE_1II._Tetanus_to_Trichinellosis_20250113.csv.gz,2025-01-13 02:33:06 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1II-Tetanus-to-Trichinellosis/qbrk-85z2,"NNDSS - TABLE 1II. Tetanus to Trichinellosis – 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Note:
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1II. Tetanus to Trichinellosis', 'id': 'qbrk-85z2', 'description': ""NNDSS - TABLE 1II. Tetanus to Trichinellosis – 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNote:\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.\n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1II-Tetanus-to-Trichinellosis/qbrk-85z2'}"
"NNDSS - TABLE 1J. Dengue virus infections, Dengue to Severe dengue",29js-qshz,29js-qshz_1736732461.732097_NNDSS_-_TABLE_1J._Dengue_virus_infections__Dengue_to_Severe_dengue_20250113.csv.gz,2025-01-13 01:41:01 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1J-Dengue-virus-infections-Dengue-to-S/29js-qshz,"NNDSS - TABLE 1J. Dengue virus infections, Dengue to Severe dengue - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes: 
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
 Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). 
§ Includes data for dengue and dengue-like illness.",,"{'name': 'NNDSS - TABLE 1J. Dengue virus infections, Dengue to Severe dengue', 'id': '29js-qshz', 'description': ""NNDSS - TABLE 1J. Dengue virus infections, Dengue to Severe dengue - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes: \r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\n Max: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \r\n§ Includes data for dengue and dengue-like illness."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1J-Dengue-virus-infections-Dengue-to-S/29js-qshz'}"
"NNDSS - TABLE 1J. Dengue virus infections, Dengue to Severe dengue",7jik-jwvu,7jik-jwvu_1736731060.182135_NNDSS_-_TABLE_1J._Dengue_virus_infections__Dengue_to_Severe_dengue_20250113.csv.gz,2025-01-13 01:17:40 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1J-Dengue-virus-infections-Dengue-to-S/7jik-jwvu,"NNDSS - TABLE 1J. Dengue virus infections, Dengue to Severe dengue - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1J. Dengue virus infections, Dengue to Severe dengue', 'id': '7jik-jwvu', 'description': ""NNDSS - TABLE 1J. Dengue virus infections, Dengue to Severe dengue - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1J-Dengue-virus-infections-Dengue-to-S/7jik-jwvu'}"
"NNDSS - TABLE 1J. Dengue virus infections, Dengue to Severe dengue",9axm-gjt8,9axm-gjt8_1736727572.952607_NNDSS_-_TABLE_1J._Dengue_virus_infections__Dengue_to_Severe_dengue_20250113.csv.gz,2025-01-13 00:19:32 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1J-Dengue-virus-infections-Dengue-to-S/9axm-gjt8,"NNDSS - TABLE 1J. Dengue virus infections, Dengue to Severe dengue - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
 Max: Maximum — Maximum case count during the previous 52 weeks.
  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1J. Dengue virus infections, Dengue to Severe dengue', 'id': '9axm-gjt8', 'description': ""NNDSS - TABLE 1J. Dengue virus infections, Dengue to Severe dengue - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1J-Dengue-virus-infections-Dengue-to-S/9axm-gjt8'}"
"NNDSS - TABLE 1J. Dengue virus infections, Dengue to Severe dengue",nr42-fsyk,nr42-fsyk_1736730884.174286_NNDSS_-_TABLE_1J._Dengue_virus_infections__Dengue_to_Severe_dengue_20250113.csv.gz,2025-01-13 01:14:44 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1J-Dengue-virus-infections-Dengue-to-S/nr42-fsyk,"NNDSS - TABLE 1J. Dengue virus infections, Dengue to Severe dengue - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notes:

•	These are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.
•	The list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.

Footnotes:

*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.",,"{'name': 'NNDSS - TABLE 1J. Dengue virus infections, Dengue to Severe dengue', 'id': 'nr42-fsyk', 'description': ""NNDSS - TABLE 1J. Dengue virus infections, Dengue to Severe dengue - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1J-Dengue-virus-infections-Dengue-to-S/nr42-fsyk'}"
"NNDSS - TABLE 1J. Dengue virus infections, Dengue to Severe dengue",w7ew-4aqz,w7ew-4aqz_1736732627.190600_NNDSS_-_TABLE_1J._Dengue_virus_infections__Dengue_to_Severe_dengue_20250113.csv.gz,2025-01-13 01:43:47 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1J-Dengue-virus-infections-Dengue-to-S/w7ew-4aqz,"NNDSS - TABLE 1J. Dengue virus infections, Dengue to Severe dengue - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes: 
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
 Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). 
§ Includes data for dengue and dengue-like illness.",,"{'name': 'NNDSS - TABLE 1J. Dengue virus infections, Dengue to Severe dengue', 'id': 'w7ew-4aqz', 'description': ""NNDSS - TABLE 1J. Dengue virus infections, Dengue to Severe dengue - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes: \r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\n Max: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \r\n§ Includes data for dengue and dengue-like illness."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1J-Dengue-virus-infections-Dengue-to-S/w7ew-4aqz'}"
NNDSS - TABLE 1JJ. Tuberculosis to Tularemia,efb8-zbb7,efb8-zbb7_1736729173.269480_NNDSS_-_TABLE_1JJ._Tuberculosis_to_Tularemia_20250113.csv.gz,2025-01-13 00:46:13 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1JJ-Tuberculosis-to-Tularemia/efb8-zbb7,"NNDSS - TABLE 1JJ. Tuberculosis to Tularemia – 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Tuberculosis data for weeks 4-31 are incorrect for New York City; the Middle Atlantic region total; U.S. Residents, excluding U.S. Territories total; and the grand total, due to data processing issues. 
Notice: Tuberculosis data for weeks 32-33 are incorrect for the U.S. Residents, excluding U.S. Territories total and the grand total, due to data processing issues. 

Note:
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1JJ. Tuberculosis to Tularemia', 'id': 'efb8-zbb7', 'description': ""NNDSS - TABLE 1JJ. Tuberculosis to Tularemia – 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Tuberculosis data for weeks 4-31 are incorrect for New York City; the Middle Atlantic region total; U.S. Residents, excluding U.S. Territories total; and the grand total, due to data processing issues. \nNotice: Tuberculosis data for weeks 32-33 are incorrect for the U.S. Residents, excluding U.S. Territories total and the grand total, due to data processing issues. \n\nNote:\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.\n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1JJ-Tuberculosis-to-Tularemia/efb8-zbb7'}"
NNDSS - TABLE 1JJ. Tuberculosis to Tularemia,rbrz-y4zd,rbrz-y4zd_1736731411.681025_NNDSS_-_TABLE_1JJ._Tuberculosis_to_Tularemia_20250113.csv.gz,2025-01-13 01:23:31 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1JJ-Tuberculosis-to-Tularemia/rbrz-y4zd,"NNDSS - TABLE 1JJ. Tuberculosis to Tularemia – 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.

Note:
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
 Max: Maximum — Maximum case count during the previous 52 weeks.
  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1JJ. Tuberculosis to Tularemia', 'id': 'rbrz-y4zd', 'description': ""NNDSS - TABLE 1JJ. Tuberculosis to Tularemia – 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote:\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.\n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1JJ-Tuberculosis-to-Tularemia/rbrz-y4zd'}"
NNDSS - TABLE 1JJ. Tuberculosis to Tularemia,tfu6-pjxh,tfu6-pjxh_1736711440.308058_NNDSS_-_TABLE_1JJ._Tuberculosis_to_Tularemia_20250112.csv.gz,2025-01-12 19:50:40 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1JJ-Tuberculosis-to-Tularemia/tfu6-pjxh,"NNDSS - TABLE 1JJ. Tuberculosis to Tularemia – 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.
Notes:

•	These are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.
•	The list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.

Footnotes:

*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.",,"{'name': 'NNDSS - TABLE 1JJ. Tuberculosis to Tularemia', 'id': 'tfu6-pjxh', 'description': ""NNDSS - TABLE 1JJ. Tuberculosis to Tularemia – 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1JJ-Tuberculosis-to-Tularemia/tfu6-pjxh'}"
NNDSS - TABLE 1JJ. Tularemia to  Vancomycin-intermediate Staphylococcus aureus,mik5-by93,mik5-by93_1736737054.722554_NNDSS_-_TABLE_1JJ._Tularemia_to__Vancomycin-intermediate_Staphylococcus_aureus_20250113.csv.gz,2025-01-13 02:57:34 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1JJ-Tularemia-to-Vancomycin-intermedia/mik5-by93,"NNDSS - TABLE 1JJ. Tularemia to  Vancomycin-intermediate Staphylococcus aureus - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1JJ. Tularemia to  Vancomycin-intermediate Staphylococcus aureus', 'id': 'mik5-by93', 'description': ""NNDSS - TABLE 1JJ. Tularemia to  Vancomycin-intermediate Staphylococcus aureus - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1JJ-Tularemia-to-Vancomycin-intermedia/mik5-by93'}"
NNDSS - TABLE 1JJ. Tularemia to  Vancomycin-intermediate Staphylococcus aureus,qsk4-8yy5,qsk4-8yy5_1736736347.651797_NNDSS_-_TABLE_1JJ._Tularemia_to__Vancomycin-intermediate_Staphylococcus_aureus_20250113.csv.gz,2025-01-13 02:45:47 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1JJ-Tularemia-to-Vancomycin-intermedia/qsk4-8yy5,"NNDSS - TABLE 1JJ. Tularemia to  Vancomycin-intermediate Staphylococcus aureus - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1JJ. Tularemia to  Vancomycin-intermediate Staphylococcus aureus', 'id': 'qsk4-8yy5', 'description': ""NNDSS - TABLE 1JJ. Tularemia to  Vancomycin-intermediate Staphylococcus aureus - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1JJ-Tularemia-to-Vancomycin-intermedia/qsk4-8yy5'}"
"NNDSS - TABLE 1K. Ehrlichiosis and Anaplasmosis, Anaplasma phagocytophilum infection to Ehrlichia chaffeensis infection",6dep-qtzm,6dep-qtzm_1736737514.690540_NNDSS_-_TABLE_1K._Ehrlichiosis_and_Anaplasmosis__Anaplasma_phagocytophilum_infection_to_Ehrlichia_chaffeensis_infection_20250113.csv.gz,2025-01-13 03:05:14 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1K-Ehrlichiosis-and-Anaplasmosis-Anapl/6dep-qtzm,"NNDSS - Table 1K. Ehrlichiosis and Anaplasmosis, Anaplasma phagocytophilum infection to Ehrlichia chaffeensis infection - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html 

Footnotes: 
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).","<https://data.cdc.gov/NNDSS/NNDSS-TABLE-1K-Ehrlichiosis-and-Anaplasmosis-Anapl/6dep-qtzm>; rel=""original"",
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<http://web.archive.org/web/20220926135038/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1K-Ehrlichiosis-and-Anaplasmosis-Anapl/6dep-qtzm>; rel=""memento""; datetime=""Mon, 26 Sep 2022 13:50:38 GMT"",
<http://web.archive.org/web/20230131175458/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1K-Ehrlichiosis-and-Anaplasmosis-Anapl/6dep-qtzm>; rel=""memento""; datetime=""Tue, 31 Jan 2023 17:54:58 GMT"",
<http://web.archive.org/web/20230922125651/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1K-Ehrlichiosis-and-Anaplasmosis-Anapl/6dep-qtzm>; rel=""memento""; datetime=""Fri, 22 Sep 2023 12:56:51 GMT"",
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<http://web.archive.org/web/20241122210252/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1K-Ehrlichiosis-and-Anaplasmosis-Anapl/6dep-qtzm>; rel=""memento""; datetime=""Fri, 22 Nov 2024 21:02:52 GMT"",
<http://web.archive.org/web/20241126175342/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1K-Ehrlichiosis-and-Anaplasmosis-Anapl/6dep-qtzm>; rel=""memento""; datetime=""Tue, 26 Nov 2024 17:53:42 GMT"",
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<http://web.archive.org/web/20250201211732/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1K-Ehrlichiosis-and-Anaplasmosis-Anapl/6dep-qtzm>; rel=""memento""; datetime=""Sat, 01 Feb 2025 21:17:32 GMT"",
<http://web.archive.org/web/20250202022207/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1K-Ehrlichiosis-and-Anaplasmosis-Anapl/6dep-qtzm>; rel=""memento""; datetime=""Sun, 02 Feb 2025 02:22:07 GMT"",
<http://web.archive.org/web/20250204114327/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1K-Ehrlichiosis-and-Anaplasmosis-Anapl/6dep-qtzm>; rel=""memento""; datetime=""Tue, 04 Feb 2025 11:43:27 GMT"",
<http://web.archive.org/web/20250205195019/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1K-Ehrlichiosis-and-Anaplasmosis-Anapl/6dep-qtzm>; rel=""memento""; datetime=""Wed, 05 Feb 2025 19:50:19 GMT"",
<http://web.archive.org/web/20250210122337/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1K-Ehrlichiosis-and-Anaplasmosis-Anapl/6dep-qtzm/>; rel=""memento""; datetime=""Mon, 10 Feb 2025 12:23:37 GMT"",
<http://web.archive.org/web/20250210122356/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1K-Ehrlichiosis-and-Anaplasmosis-Anapl/6dep-qtzm>; rel=""memento""; datetime=""Mon, 10 Feb 2025 12:23:56 GMT"",
<http://web.archive.org/web/20250210122402/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1K-Ehrlichiosis-and-Anaplasmosis-Anapl/6dep-qtzm>; rel=""memento""; datetime=""Mon, 10 Feb 2025 12:24:02 GMT""
","{'name': 'NNDSS - TABLE 1K. Ehrlichiosis and Anaplasmosis, Anaplasma phagocytophilum infection to Ehrlichia chaffeensis infection', 'id': '6dep-qtzm', 'description': ""NNDSS - Table 1K. Ehrlichiosis and Anaplasmosis, Anaplasma phagocytophilum infection to Ehrlichia chaffeensis infection - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html \r\n\r\nFootnotes: \r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1K-Ehrlichiosis-and-Anaplasmosis-Anapl/6dep-qtzm'}"
"NNDSS - TABLE 1K. Ehrlichiosis and Anaplasmosis, Anaplasma phagocytophilum infection to Ehrlichia chaffeensis infection",9d9z-vf8f,9d9z-vf8f_1736736000.874357_NNDSS_-_TABLE_1K._Ehrlichiosis_and_Anaplasmosis__Anaplasma_phagocytophilum_infection_to_Ehrlichia_chaffeensis_infection_20250113.csv.gz,2025-01-13 02:40:00 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1K-Ehrlichiosis-and-Anaplasmosis-Anapl/9d9z-vf8f,"NNDSS - TABLE 1K. Ehrlichiosis and Anaplasmosis, Anaplasma phagocytophilum infection to Ehrlichia chaffeensis infection - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
 Max: Maximum — Maximum case count during the previous 52 weeks.
  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).","<https://data.cdc.gov/NNDSS/NNDSS-TABLE-1K-Ehrlichiosis-and-Anaplasmosis-Anapl/9d9z-vf8f>; rel=""original"",
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","{'name': 'NNDSS - TABLE 1K. Ehrlichiosis and Anaplasmosis, Anaplasma phagocytophilum infection to Ehrlichia chaffeensis infection', 'id': '9d9z-vf8f', 'description': ""NNDSS - TABLE 1K. Ehrlichiosis and Anaplasmosis, Anaplasma phagocytophilum infection to Ehrlichia chaffeensis infection - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['demographics', 'health', 'public safety', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1K-Ehrlichiosis-and-Anaplasmosis-Anapl/9d9z-vf8f'}"
"NNDSS - TABLE 1K. Ehrlichiosis and Anaplasmosis, Anaplasma phagocytophilum infection to Ehrlichia chaffeensis infection",bqse-bujd,bqse-bujd_1736737636.231477_NNDSS_-_TABLE_1K._Ehrlichiosis_and_Anaplasmosis__Anaplasma_phagocytophilum_infection_to_Ehrlichia_chaffeensis_infection_20250113.csv.gz,2025-01-13 03:07:16 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1K-Ehrlichiosis-and-Anaplasmosis-Anapl/bqse-bujd,"NNDSS - Table 1K. Ehrlichiosis and Anaplasmosis, Anaplasma phagocytophilum infection to Ehrlichia chaffeensis infection - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html 

Footnotes: 
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1K. Ehrlichiosis and Anaplasmosis, Anaplasma phagocytophilum infection to Ehrlichia chaffeensis infection', 'id': 'bqse-bujd', 'description': ""NNDSS - Table 1K. Ehrlichiosis and Anaplasmosis, Anaplasma phagocytophilum infection to Ehrlichia chaffeensis infection - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html \r\n\r\nFootnotes: \r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1K-Ehrlichiosis-and-Anaplasmosis-Anapl/bqse-bujd'}"
"NNDSS - TABLE 1K. Ehrlichiosis and Anaplasmosis, Anaplasma phagocytophilum infection to Ehrlichia chaffeensis infection",gepg-djaz,gepg-djaz_1736736320.630175_NNDSS_-_TABLE_1K._Ehrlichiosis_and_Anaplasmosis__Anaplasma_phagocytophilum_infection_to_Ehrlichia_chaffeensis_infection_20250113.csv.gz,2025-01-13 02:45:20 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1K-Ehrlichiosis-and-Anaplasmosis-Anapl/gepg-djaz,"NNDSS - TABLE 1K. Ehrlichiosis and Anaplasmosis, Anaplasma phagocytophilum infection to Ehrlichia chaffeensis infection - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1K. Ehrlichiosis and Anaplasmosis, Anaplasma phagocytophilum infection to Ehrlichia chaffeensis infection', 'id': 'gepg-djaz', 'description': ""NNDSS - TABLE 1K. Ehrlichiosis and Anaplasmosis, Anaplasma phagocytophilum infection to Ehrlichia chaffeensis infection - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1K-Ehrlichiosis-and-Anaplasmosis-Anapl/gepg-djaz'}"
"NNDSS - TABLE 1K. Ehrlichiosis and Anaplasmosis, Anaplasma phagocytophilum infection to Ehrlichia chaffeensis infection",sixg-saap,sixg-saap_1736738126.267667_NNDSS_-_TABLE_1K._Ehrlichiosis_and_Anaplasmosis__Anaplasma_phagocytophilum_infection_to_Ehrlichia_chaffeensis_infection_20250113.csv.gz,2025-01-13 03:15:26 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1K-Ehrlichiosis-and-Anaplasmosis-Anapl/sixg-saap,"NNDSS - TABLE 1K. Ehrlichiosis and Anaplasmosis, Anaplasma phagocytophilum infection to Ehrlichia chaffeensis infection - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notes:

•	These are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.
•	The list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.

Footnotes:

*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.",,"{'name': 'NNDSS - TABLE 1K. Ehrlichiosis and Anaplasmosis, Anaplasma phagocytophilum infection to Ehrlichia chaffeensis infection', 'id': 'sixg-saap', 'description': ""NNDSS - TABLE 1K. Ehrlichiosis and Anaplasmosis, Anaplasma phagocytophilum infection to Ehrlichia chaffeensis infection - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1K-Ehrlichiosis-and-Anaplasmosis-Anapl/sixg-saap'}"
NNDSS - TABLE 1KK. Vancomycin-intermediate Staphylococcus aureus to Varicella morbidity,29xv-7ajw,29xv-7ajw_1736732571.059680_NNDSS_-_TABLE_1KK._Vancomycin-intermediate_Staphylococcus_aureus_to_Varicella_morbidity_20250113.csv.gz,2025-01-13 01:42:51 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1KK-Vancomycin-intermediate-Staphyloco/29xv-7ajw,"NNDSS - TABLE 1KK. Vancomycin-intermediate Staphylococcus aureus to Varicella morbidity – 2020.  In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1KK. Vancomycin-intermediate Staphylococcus aureus to Varicella morbidity', 'id': '29xv-7ajw', 'description': ""NNDSS - TABLE 1KK. Vancomycin-intermediate Staphylococcus aureus to Varicella morbidity – 2020.  In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1KK-Vancomycin-intermediate-Staphyloco/29xv-7ajw'}"
NNDSS - TABLE 1KK. Vancomycin-intermediate Staphylococcus aureus to Varicella morbidity,759d-qk63,759d-qk63_1736711521.953814_NNDSS_-_TABLE_1KK._Vancomycin-intermediate_Staphylococcus_aureus_to_Varicella_morbidity_20250112.csv.gz,2025-01-12 19:52:01 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1KK-Vancomycin-intermediate-Staphyloco/759d-qk63,"NNDSS - TABLE 1KK. Vancomycin-intermediate Staphylococcus aureus to Varicella morbidity – 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notes:

•	These are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.
•	The list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.

Footnotes:

*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.",,"{'name': 'NNDSS - TABLE 1KK. Vancomycin-intermediate Staphylococcus aureus to Varicella morbidity', 'id': '759d-qk63', 'description': ""NNDSS - TABLE 1KK. Vancomycin-intermediate Staphylococcus aureus to Varicella morbidity – 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1KK-Vancomycin-intermediate-Staphyloco/759d-qk63'}"
NNDSS - TABLE 1KK. Vancomycin-intermediate Staphylococcus aureus to Varicella morbidity,rtjs-ain8,rtjs-ain8_1736733458.025565_NNDSS_-_TABLE_1KK._Vancomycin-intermediate_Staphylococcus_aureus_to_Varicella_morbidity_20250113.csv.gz,2025-01-13 01:57:38 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1KK-Vancomycin-intermediate-Staphyloco/rtjs-ain8,"NNDSS - TABLE 1KK. Vancomycin-intermediate Staphylococcus aureus to Varicella morbidity – 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
 Max: Maximum — Maximum case count during the previous 52 weeks.
  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1KK. Vancomycin-intermediate Staphylococcus aureus to Varicella morbidity', 'id': 'rtjs-ain8', 'description': ""NNDSS - TABLE 1KK. Vancomycin-intermediate Staphylococcus aureus to Varicella morbidity – 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1KK-Vancomycin-intermediate-Staphyloco/rtjs-ain8'}"
NNDSS - TABLE 1KK. Vancomycin-resistant Staphylococcus aureus to Varicella morbidity,dy4n-fbwg,dy4n-fbwg_1736734839.775181_NNDSS_-_TABLE_1KK._Vancomycin-resistant_Staphylococcus_aureus_to_Varicella_morbidity_20250113.csv.gz,2025-01-13 02:20:39 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1KK-Vancomycin-resistant-Staphylococcu/dy4n-fbwg,"NNDSS - TABLE 1KK. Vancomycin-resistant Staphylococcus aureus to Varicella morbidity - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1KK. Vancomycin-resistant Staphylococcus aureus to Varicella morbidity', 'id': 'dy4n-fbwg', 'description': ""NNDSS - TABLE 1KK. Vancomycin-resistant Staphylococcus aureus to Varicella morbidity - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['health', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1KK-Vancomycin-resistant-Staphylococcu/dy4n-fbwg'}"
NNDSS - TABLE 1KK. Vancomycin-resistant Staphylococcus aureus to Varicella morbidity,ybum-psnc,ybum-psnc_1736735176.557508_NNDSS_-_TABLE_1KK._Vancomycin-resistant_Staphylococcus_aureus_to_Varicella_morbidity_20250113.csv.gz,2025-01-13 02:26:16 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1KK-Vancomycin-resistant-Staphylococcu/ybum-psnc,"NNDSS - TABLE 1KK. Vancomycin-resistant Staphylococcus aureus to Varicella morbidity - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1KK. Vancomycin-resistant Staphylococcus aureus to Varicella morbidity', 'id': 'ybum-psnc', 'description': ""NNDSS - TABLE 1KK. Vancomycin-resistant Staphylococcus aureus to Varicella morbidity - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['health', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1KK-Vancomycin-resistant-Staphylococcu/ybum-psnc'}"
"NNDSS - TABLE 1L. Ehrlichiosis and Anaplasmosis, Ehrlichia ewingii infection to Giardiasis",8cyw-fici,8cyw-fici_1736736068.326792_NNDSS_-_TABLE_1L._Ehrlichiosis_and_Anaplasmosis__Ehrlichia_ewingii_infection_to_Giardiasis_20250113.csv.gz,2025-01-13 02:41:08 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1L-Ehrlichiosis-and-Anaplasmosis-Ehrli/8cyw-fici,"NNDSS - TABLE 1L. Ehrlichiosis and Anaplasmosis, Ehrlichia ewingii infection to Giardiasis - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
 Max: Maximum — Maximum case count during the previous 52 weeks.
  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1L. Ehrlichiosis and Anaplasmosis, Ehrlichia ewingii infection to Giardiasis', 'id': '8cyw-fici', 'description': ""NNDSS - TABLE 1L. Ehrlichiosis and Anaplasmosis, Ehrlichia ewingii infection to Giardiasis - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1L-Ehrlichiosis-and-Anaplasmosis-Ehrli/8cyw-fici'}"
"NNDSS - TABLE 1L. Ehrlichiosis and Anaplasmosis, Ehrlichia ewingii infection to Giardiasis",qisn-zjv7,qisn-zjv7_1736737242.489505_NNDSS_-_TABLE_1L._Ehrlichiosis_and_Anaplasmosis__Ehrlichia_ewingii_infection_to_Giardiasis_20250113.csv.gz,2025-01-13 03:00:42 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1L-Ehrlichiosis-and-Anaplasmosis-Ehrli/qisn-zjv7,"NNDSS - Table 1L. Ehrlichiosis and Anaplasmosis, Ehrlichia ewingii infection to Giardiasis - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html 

Footnotes: 
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1L. Ehrlichiosis and Anaplasmosis, Ehrlichia ewingii infection to Giardiasis', 'id': 'qisn-zjv7', 'description': ""NNDSS - Table 1L. Ehrlichiosis and Anaplasmosis, Ehrlichia ewingii infection to Giardiasis - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html \r\n\r\nFootnotes: \r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1L-Ehrlichiosis-and-Anaplasmosis-Ehrli/qisn-zjv7'}"
"NNDSS - TABLE 1L. Ehrlichiosis and Anaplasmosis, Ehrlichia ewingii infection to Giardiasis",qpq4-k3td,qpq4-k3td_1736736808.238131_NNDSS_-_TABLE_1L._Ehrlichiosis_and_Anaplasmosis__Ehrlichia_ewingii_infection_to_Giardiasis_20250113.csv.gz,2025-01-13 02:53:28 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1L-Ehrlichiosis-and-Anaplasmosis-Ehrli/qpq4-k3td,"NNDSS - Table 1L. Ehrlichiosis and Anaplasmosis, Ehrlichia ewingii infection to Giardiasis - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html 

Footnotes: 
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1L. Ehrlichiosis and Anaplasmosis, Ehrlichia ewingii infection to Giardiasis', 'id': 'qpq4-k3td', 'description': ""NNDSS - Table 1L. Ehrlichiosis and Anaplasmosis, Ehrlichia ewingii infection to Giardiasis - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html \r\n\r\nFootnotes: \r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1L-Ehrlichiosis-and-Anaplasmosis-Ehrli/qpq4-k3td'}"
"NNDSS - TABLE 1L. Ehrlichiosis and Anaplasmosis, Ehrlichia ewingii infection to Giardiasis",vzfn-ifh5,vzfn-ifh5_1736735889.637427_NNDSS_-_TABLE_1L._Ehrlichiosis_and_Anaplasmosis__Ehrlichia_ewingii_infection_to_Giardiasis_20250113.csv.gz,2025-01-13 02:38:09 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1L-Ehrlichiosis-and-Anaplasmosis-Ehrli/vzfn-ifh5,"NNDSS - TABLE 1L. Ehrlichiosis and Anaplasmosis, Ehrlichia ewingii infection to Giardiasis - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1L. Ehrlichiosis and Anaplasmosis, Ehrlichia ewingii infection to Giardiasis', 'id': 'vzfn-ifh5', 'description': ""NNDSS - TABLE 1L. Ehrlichiosis and Anaplasmosis, Ehrlichia ewingii infection to Giardiasis - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1L-Ehrlichiosis-and-Anaplasmosis-Ehrli/vzfn-ifh5'}"
"NNDSS - TABLE 1L. Ehrlichiosis and Anaplasmosis, Ehrlichia ewingii infection to Giardiasis",wzwe-859x,wzwe-859x_1736738139.950940_NNDSS_-_TABLE_1L._Ehrlichiosis_and_Anaplasmosis__Ehrlichia_ewingii_infection_to_Giardiasis_20250113.csv.gz,2025-01-13 03:15:39 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1L-Ehrlichiosis-and-Anaplasmosis-Ehrli/wzwe-859x,"NNDSS - TABLE 1L. Ehrlichiosis and Anaplasmosis, Ehrlichia ewingii infection to Giardiasis - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notes:

•	These are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.
•	The list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.

Footnotes:

*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.","<https://data.cdc.gov/NNDSS/NNDSS-TABLE-1L-Ehrlichiosis-and-Anaplasmosis-Ehrli/wzwe-859x>; rel=""original"",
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","{'name': 'NNDSS - TABLE 1L. Ehrlichiosis and Anaplasmosis, Ehrlichia ewingii infection to Giardiasis', 'id': 'wzwe-859x', 'description': ""NNDSS - TABLE 1L. Ehrlichiosis and Anaplasmosis, Ehrlichia ewingii infection to Giardiasis - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1L-Ehrlichiosis-and-Anaplasmosis-Ehrli/wzwe-859x'}"
"NNDSS - TABLE 1LL. Vibriosis, Confirmed to Vibriosis, Probable",g3c9-wbme,g3c9-wbme_1736711639.912840_NNDSS_-_TABLE_1LL._Vibriosis__Confirmed_to_Vibriosis__Probable_20250112.csv.gz,2025-01-12 19:53:59 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1LL-Vibriosis-Confirmed-to-Vibriosis-P/g3c9-wbme,"NNDSS - TABLE 1LL. Vibriosis, Confirmed to Vibriosis, Probable – 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notes:

•	These are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.
•	The list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.

Footnotes:

*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.",,"{'name': 'NNDSS - TABLE 1LL. Vibriosis, Confirmed to Vibriosis, Probable', 'id': 'g3c9-wbme', 'description': ""NNDSS - TABLE 1LL. Vibriosis, Confirmed to Vibriosis, Probable – 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1LL-Vibriosis-Confirmed-to-Vibriosis-P/g3c9-wbme'}"
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Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1LL. Vibriosis, Confirmed to Vibriosis, Probable', 'id': 'i4eq-dgfc', 'description': ""NNDSS - TABLE 1LL. Vibriosis, Confirmed to Vibriosis, Probable - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1LL-Vibriosis-Confirmed-to-Vibriosis-P/i4eq-dgfc'}"
"NNDSS - TABLE 1LL. Vibriosis, Confirmed to Vibriosis, Probable",kyph-4i8d,kyph-4i8d_1736735933.105647_NNDSS_-_TABLE_1LL._Vibriosis__Confirmed_to_Vibriosis__Probable_20250113.csv.gz,2025-01-13 02:38:53 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1LL-Vibriosis-Confirmed-to-Vibriosis-P/kyph-4i8d,"NNDSS - TABLE 1LL. Vibriosis, Confirmed to Vibriosis, Probable – 2020.  In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1LL. Vibriosis, Confirmed to Vibriosis, Probable', 'id': 'kyph-4i8d', 'description': ""NNDSS - TABLE 1LL. Vibriosis, Confirmed to Vibriosis, Probable – 2020.  In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['health', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1LL-Vibriosis-Confirmed-to-Vibriosis-P/kyph-4i8d'}"
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Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).","<https://data.cdc.gov/NNDSS/NNDSS-TABLE-1LL-Vibriosis-Confirmed-to-Vibriosis-P/u92k-ms37>; rel=""original"",
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","{'name': 'NNDSS - TABLE 1LL. Vibriosis, Confirmed to Vibriosis, Probable', 'id': 'u92k-ms37', 'description': ""NNDSS - TABLE 1LL. Vibriosis, Confirmed to Vibriosis, Probable - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1LL-Vibriosis-Confirmed-to-Vibriosis-P/u92k-ms37'}"
"NNDSS - TABLE 1LL. Vibriosis, Confirmed to Vibriosis, Probable",vq7a-fvin,vq7a-fvin_1736734583.494352_NNDSS_-_TABLE_1LL._Vibriosis__Confirmed_to_Vibriosis__Probable_20250113.csv.gz,2025-01-13 02:16:23 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1LL-Vibriosis-Confirmed-to-Vibriosis-P/vq7a-fvin,"NNDSS - TABLE 1LL. Vibriosis, Confirmed to Vibriosis, Probable – 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
 Max: Maximum — Maximum case count during the previous 52 weeks.
  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data",,"{'name': 'NNDSS - TABLE 1LL. Vibriosis, Confirmed to Vibriosis, Probable', 'id': 'vq7a-fvin', 'description': ""NNDSS - TABLE 1LL. Vibriosis, Confirmed to Vibriosis, Probable – 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data"", 'datatype': 'tabular', 'keywords': ['demographics', 'health', 'public safety', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1LL-Vibriosis-Confirmed-to-Vibriosis-P/vq7a-fvin'}"
"NNDSS - TABLE 1M. Gonorrhea to Haemophilus influenzae, invasive disease (age <5 years), Serotype b",h4wb-nae4,h4wb-nae4_1736732516.382119_NNDSS_-_TABLE_1M._Gonorrhea_to_Haemophilus_influenzae__invasive_disease__age__5_years___Serotype_b_20250113.csv.gz,2025-01-13 01:41:56 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1M-Gonorrhea-to-Haemophilus-influenzae/h4wb-nae4,"NNDSS - TABLE 1M. Gonorrhea to Haemophilus influenzae, invasive disease (age <5 years), Serotype b - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1M. Gonorrhea to Haemophilus influenzae, invasive disease (age <5 years), Serotype b', 'id': 'h4wb-nae4', 'description': ""NNDSS - TABLE 1M. Gonorrhea to Haemophilus influenzae, invasive disease (age <5 years), Serotype b - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1M-Gonorrhea-to-Haemophilus-influenzae/h4wb-nae4'}"
"NNDSS - TABLE 1M. Gonorrhea to Haemophilus influenzae, invasive disease (age <5 years), Serotype b",vx8v-gfyf,vx8v-gfyf_1736733444.616114_NNDSS_-_TABLE_1M._Gonorrhea_to_Haemophilus_influenzae__invasive_disease__age__5_years___Serotype_b_20250113.csv.gz,2025-01-13 01:57:24 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1M-Gonorrhea-to-Haemophilus-influenzae/vx8v-gfyf,"NNDSS - TABLE 1M. Gonorrhea to Haemophilus influenzae, invasive disease (age <5 years), Serotype b - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1M. Gonorrhea to Haemophilus influenzae, invasive disease (age <5 years), Serotype b', 'id': 'vx8v-gfyf', 'description': ""NNDSS - TABLE 1M. Gonorrhea to Haemophilus influenzae, invasive disease (age <5 years), Serotype b - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1M-Gonorrhea-to-Haemophilus-influenzae/vx8v-gfyf'}"
"NNDSS - TABLE 1M. Gonorrhea to Haemophilus influenzae, invasive disease, Age <5 years, Serotype b",97bc-2r74,97bc-2r74_1736737723.565420_NNDSS_-_TABLE_1M._Gonorrhea_to_Haemophilus_influenzae__invasive_disease__Age__5_years__Serotype_b_20250113.csv.gz,2025-01-13 03:08:43 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1M-Gonorrhea-to-Haemophilus-influenzae/97bc-2r74,"NNDSS - TABLE 1M. Gonorrhea to Haemophilus influenzae, invasive disease, Age <5 years, Serotype b - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notes:

•	These are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.
•	The list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.

Footnotes:

*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.",,"{'name': 'NNDSS - TABLE 1M. Gonorrhea to Haemophilus influenzae, invasive disease, Age <5 years, Serotype b', 'id': '97bc-2r74', 'description': ""NNDSS - TABLE 1M. Gonorrhea to Haemophilus influenzae, invasive disease, Age <5 years, Serotype b - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1M-Gonorrhea-to-Haemophilus-influenzae/97bc-2r74'}"
"NNDSS - TABLE 1M. Gonorrhea to Haemophilus influenzae, invasive disease, Age <5 years, Serotype b",dp9i-idru,dp9i-idru_1736732281.998883_NNDSS_-_TABLE_1M._Gonorrhea_to_Haemophilus_influenzae__invasive_disease__Age__5_years__Serotype_b_20250113.csv.gz,2025-01-13 01:38:01 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1M-Gonorrhea-to-Haemophilus-influenzae/dp9i-idru,"NNDSS - TABLE 1M. Gonorrhea to Haemophilus influenzae, invasive disease, Age <5 years, Serotype b - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
 Max: Maximum — Maximum case count during the previous 52 weeks.
  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1M. Gonorrhea to Haemophilus influenzae, invasive disease, Age <5 years, Serotype b', 'id': 'dp9i-idru', 'description': ""NNDSS - TABLE 1M. Gonorrhea to Haemophilus influenzae, invasive disease, Age <5 years, Serotype b - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1M-Gonorrhea-to-Haemophilus-influenzae/dp9i-idru'}"
"NNDSS - TABLE 1M. Gonorrhea to Haemophilus influenzae, invasive disease, Age <5 years, Serotype b",u7e4-s8zi,u7e4-s8zi_1736727212.599360_NNDSS_-_TABLE_1M._Gonorrhea_to_Haemophilus_influenzae__invasive_disease__Age__5_years__Serotype_b_20250113.csv.gz,2025-01-13 00:13:32 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1M-Gonorrhea-to-Haemophilus-influenzae/u7e4-s8zi,"NNDSS - TABLE 1M.  Gonorrhea to Haemophilus influenzae, invasive disease, Age <5 years, Serotype b - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Data from California published in week 29 for years 2019 and 2020 were incomplete when originally published on July 24, 2020. On August 4, 2020, incomplete case counts were replaced with a ""U"" indicating case counts are not available for specified time period. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1M. Gonorrhea to Haemophilus influenzae, invasive disease, Age <5 years, Serotype b', 'id': 'u7e4-s8zi', 'description': 'NNDSS - TABLE 1M.  Gonorrhea to Haemophilus influenzae, invasive disease, Age <5 years, Serotype b - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Data from California published in week 29 for years 2019 and 2020 were incomplete when originally published on July 24, 2020. On August 4, 2020, incomplete case counts were replaced with a ""U"" indicating case counts are not available for specified time period. \n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case\'s country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the \'Non-U.S. Residents\' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1M-Gonorrhea-to-Haemophilus-influenzae/u7e4-s8zi'}"
"NNDSS - TABLE 1MM. Viral hemorrhagic fevers, Chapare virus to Ebola virus",bw3b-karf,bw3b-karf_1736711467.327744_NNDSS_-_TABLE_1MM._Viral_hemorrhagic_fevers__Chapare_virus_to_Ebola_virus_20250112.csv.gz,2025-01-12 19:51:07 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1MM-Viral-hemorrhagic-fevers-Chapare-v/bw3b-karf,"NNDSS - TABLE 1MM. Viral hemorrhagic fevers, Chapare virus to Ebola virus – 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notes:

•	These are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.
•	The list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.

Footnotes:

*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.",,"{'name': 'NNDSS - TABLE 1MM. Viral hemorrhagic fevers, Chapare virus to Ebola virus', 'id': 'bw3b-karf', 'description': ""NNDSS - TABLE 1MM. Viral hemorrhagic fevers, Chapare virus to Ebola virus – 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1MM-Viral-hemorrhagic-fevers-Chapare-v/bw3b-karf'}"
"NNDSS - TABLE 1MM. Viral hemorrhagic fevers, Crimean-Congo hemorrhagic fever virus to Guanarito virus",2i8i-dz8i,2i8i-dz8i_1736736526.498825_NNDSS_-_TABLE_1MM._Viral_hemorrhagic_fevers__Crimean-Congo_hemorrhagic_fever_virus_to_Guanarito_virus_20250113.csv.gz,2025-01-13 02:48:46 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1MM-Viral-hemorrhagic-fevers-Crimean-C/2i8i-dz8i,"NNDSS - TABLE 1MM. Viral hemorrhagic fevers, Crimean-Congo hemorrhagic fever virus to Guanarito virus - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). 
§ Prior to 2015, CDC's National Notifiable Diseases Surveillance System (NNDSS) did not receive electronic data about incident cases of specific viral hemorrhagic fevers; instead data were collected in aggregate as ""viral hemorrhagic fevers'. NNDSS was updated beginning in 2015 to receive data for each of the viral hemorrhagic fevers listed.","<https://data.cdc.gov/NNDSS/NNDSS-TABLE-1MM-Viral-hemorrhagic-fevers-Crimean-C/2i8i-dz8i>; rel=""original"",
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<http://web.archive.org/web/20210508101705/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1MM-Viral-hemorrhagic-fevers-Crimean-C/2i8i-dz8i>; rel=""memento""; datetime=""Sat, 08 May 2021 10:17:05 GMT"",
<http://web.archive.org/web/20210720131927/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1MM-Viral-hemorrhagic-fevers-Crimean-C/2i8i-dz8i>; rel=""memento""; datetime=""Tue, 20 Jul 2021 13:19:27 GMT"",
<http://web.archive.org/web/20210720131940/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1MM-Viral-hemorrhagic-fevers-Crimean-C/2i8i-dz8i>; rel=""memento""; datetime=""Tue, 20 Jul 2021 13:19:40 GMT"",
<http://web.archive.org/web/20210924215118/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1MM-Viral-hemorrhagic-fevers-Crimean-C/2i8i-dz8i>; rel=""memento""; datetime=""Fri, 24 Sep 2021 21:51:18 GMT"",
<http://web.archive.org/web/20220120174735/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1MM-Viral-hemorrhagic-fevers-Crimean-C/2i8i-dz8i>; rel=""memento""; datetime=""Thu, 20 Jan 2022 17:47:35 GMT"",
<http://web.archive.org/web/20220522163446/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1MM-Viral-hemorrhagic-fevers-Crimean-C/2i8i-dz8i>; rel=""memento""; datetime=""Sun, 22 May 2022 16:34:46 GMT"",
<http://web.archive.org/web/20220926132309/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1MM-Viral-hemorrhagic-fevers-Crimean-C/2i8i-dz8i>; rel=""memento""; datetime=""Mon, 26 Sep 2022 13:23:09 GMT"",
<http://web.archive.org/web/20231003080148/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1MM-Viral-hemorrhagic-fevers-Crimean-C/2i8i-dz8i>; rel=""memento""; datetime=""Tue, 03 Oct 2023 08:01:48 GMT"",
<http://web.archive.org/web/20240521004158/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1MM-Viral-hemorrhagic-fevers-Crimean-C/2i8i-dz8i>; rel=""memento""; datetime=""Tue, 21 May 2024 00:41:58 GMT"",
<http://web.archive.org/web/20240521050807/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1MM-Viral-hemorrhagic-fevers-Crimean-C/2i8i-dz8i>; rel=""memento""; datetime=""Tue, 21 May 2024 05:08:07 GMT"",
<http://web.archive.org/web/20240615071324/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1MM-Viral-hemorrhagic-fevers-Crimean-C/2i8i-dz8i>; rel=""memento""; datetime=""Sat, 15 Jun 2024 07:13:24 GMT"",
<http://web.archive.org/web/20240913154948/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1MM-Viral-hemorrhagic-fevers-Crimean-C/2i8i-dz8i>; rel=""memento""; datetime=""Fri, 13 Sep 2024 15:49:48 GMT"",
<http://web.archive.org/web/20241121154306/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1MM-Viral-hemorrhagic-fevers-Crimean-C/2i8i-dz8i>; rel=""memento""; datetime=""Thu, 21 Nov 2024 15:43:06 GMT"",
<http://web.archive.org/web/20241122210247/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1MM-Viral-hemorrhagic-fevers-Crimean-C/2i8i-dz8i>; rel=""memento""; datetime=""Fri, 22 Nov 2024 21:02:47 GMT"",
<http://web.archive.org/web/20241127225101/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1MM-Viral-hemorrhagic-fevers-Crimean-C/2i8i-dz8i>; rel=""memento""; datetime=""Wed, 27 Nov 2024 22:51:01 GMT"",
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","{'name': 'NNDSS - TABLE 1MM. Viral hemorrhagic fevers, Crimean-Congo hemorrhagic fever virus to Guanarito virus', 'id': '2i8i-dz8i', 'description': 'NNDSS - TABLE 1MM. Viral hemorrhagic fevers, Crimean-Congo hemorrhagic fever virus to Guanarito virus - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case\'s country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the \'Non-US Residents\' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \r\n§ Prior to 2015, CDC\'s National Notifiable Diseases Surveillance System (NNDSS) did not receive electronic data about incident cases of specific viral hemorrhagic fevers; instead data were collected in aggregate as ""viral hemorrhagic fevers\'. NNDSS was updated beginning in 2015 to receive data for each of the viral hemorrhagic fevers listed.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1MM-Viral-hemorrhagic-fevers-Crimean-C/2i8i-dz8i'}"
"NNDSS - TABLE 1MM. Viral hemorrhagic fevers, Crimean-Congo hemorrhagic fever virus to Guanarito virus",3bix-jq57,3bix-jq57_1736735839.410550_NNDSS_-_TABLE_1MM._Viral_hemorrhagic_fevers__Crimean-Congo_hemorrhagic_fever_virus_to_Guanarito_virus_20250113.csv.gz,2025-01-13 02:37:19 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1MM-Viral-hemorrhagic-fevers-Crimean-C/3bix-jq57,"NNDSS - TABLE 1MM. Viral hemorrhagic fevers, Crimean-Congo hemorrhagic fever virus to Guanarito virus - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). 
§ Prior to 2015, CDC's National Notifiable Diseases Surveillance System (NNDSS) did not receive electronic data about incident cases of specific viral hemorrhagic fevers; instead data were collected in aggregate as ""viral hemorrhagic fevers'. NNDSS was updated beginning in 2015 to receive data for each of the viral hemorrhagic fevers listed.",,"{'name': 'NNDSS - TABLE 1MM. Viral hemorrhagic fevers, Crimean-Congo hemorrhagic fever virus to Guanarito virus', 'id': '3bix-jq57', 'description': 'NNDSS - TABLE 1MM. Viral hemorrhagic fevers, Crimean-Congo hemorrhagic fever virus to Guanarito virus - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case\'s country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the \'Non-US Residents\' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \r\n§ Prior to 2015, CDC\'s National Notifiable Diseases Surveillance System (NNDSS) did not receive electronic data about incident cases of specific viral hemorrhagic fevers; instead data were collected in aggregate as ""viral hemorrhagic fevers\'. NNDSS was updated beginning in 2015 to receive data for each of the viral hemorrhagic fevers listed.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1MM-Viral-hemorrhagic-fevers-Crimean-C/3bix-jq57'}"
"NNDSS - TABLE 1MM. Viral hemorrhagic fevers, Crimean-Congo hemorrhagic fever virus to Guanarito virus",a93x-tfzm,a93x-tfzm_1736731704.914992_NNDSS_-_TABLE_1MM._Viral_hemorrhagic_fevers__Crimean-Congo_hemorrhagic_fever_virus_to_Guanarito_virus_20250113.csv.gz,2025-01-13 01:28:24 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1MM-Viral-hemorrhagic-fevers-Crimean-C/a93x-tfzm,"NNDSS - TABLE 1MM. Viral hemorrhagic fevers, Crimean-Congo hemorrhagic fever virus to Guanarito virus – 2020.  In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). 
§ Prior to 2015, CDC's National Notifiable Diseases Surveillance System (NNDSS) did not receive electronic data about incident cases of specific viral hemorrhagic fevers; instead data were collected in aggregate as ""viral hemorrhagic fevers"". NNDSS was updated beginning in 2015 to receive data for each of the viral hemorrhagic fevers listed.",,"{'name': 'NNDSS - TABLE 1MM. Viral hemorrhagic fevers, Crimean-Congo hemorrhagic fever virus to Guanarito virus', 'id': 'a93x-tfzm', 'description': 'NNDSS - TABLE 1MM. Viral hemorrhagic fevers, Crimean-Congo hemorrhagic fever virus to Guanarito virus – 2020.  In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case\'s country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the \'Non-U.S. Residents\' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \n§ Prior to 2015, CDC\'s National Notifiable Diseases Surveillance System (NNDSS) did not receive electronic data about incident cases of specific viral hemorrhagic fevers; instead data were collected in aggregate as ""viral hemorrhagic fevers"". NNDSS was updated beginning in 2015 to receive data for each of the viral hemorrhagic fevers listed.', 'datatype': 'tabular', 'keywords': ['health', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1MM-Viral-hemorrhagic-fevers-Crimean-C/a93x-tfzm'}"
"NNDSS - TABLE 1MM. Viral hemorrhagic fevers, Crimean-Congo hemorrhagic fever virus to Guanarito virus",ppmd-3u54,ppmd-3u54_1736734708.448262_NNDSS_-_TABLE_1MM._Viral_hemorrhagic_fevers__Crimean-Congo_hemorrhagic_fever_virus_to_Guanarito_virus_20250113.csv.gz,2025-01-13 02:18:28 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1MM-Viral-hemorrhagic-fevers-Crimean-C/ppmd-3u54,"NNDSS - TABLE 1MM. Viral hemorrhagic fevers, Crimean-Congo hemorrhagic fever virus to Guanarito virus – 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
 Max: Maximum — Maximum case count during the previous 52 weeks.
  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). 
§ Prior to 2015, CDC's National Notifiable Diseases Surveillance System (NNDSS) did not receive electronic data about incident cases of specific viral hemorrhagic fevers; instead data were collected in aggregate as ""viral hemorrhagic fevers"". NNDSS was updated beginning in 2015 to receive data for each of the viral hemorrhagic fevers listed.",,"{'name': 'NNDSS - TABLE 1MM. Viral hemorrhagic fevers, Crimean-Congo hemorrhagic fever virus to Guanarito virus', 'id': 'ppmd-3u54', 'description': 'NNDSS - TABLE 1MM. Viral hemorrhagic fevers, Crimean-Congo hemorrhagic fever virus to Guanarito virus – 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case\'s country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the \'Non-U.S. Residents\' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \n§ Prior to 2015, CDC\'s National Notifiable Diseases Surveillance System (NNDSS) did not receive electronic data about incident cases of specific viral hemorrhagic fevers; instead data were collected in aggregate as ""viral hemorrhagic fevers"". NNDSS was updated beginning in 2015 to receive data for each of the viral hemorrhagic fevers listed.', 'datatype': 'tabular', 'keywords': ['demographics', 'health', 'public safety', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1MM-Viral-hemorrhagic-fevers-Crimean-C/ppmd-3u54'}"
"NNDSS - TABLE 1N. Haemophilus influenzae, invasive disease, (age <5 years), Non-b serotype to Unknown serotype",cvcu-witw,cvcu-witw_1736736375.117131_NNDSS_-_TABLE_1N._Haemophilus_influenzae__invasive_disease___age__5_years___Non-b_serotype_to_Unknown_serotype_20250113.csv.gz,2025-01-13 02:46:15 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1N-Haemophilus-influenzae-invasive-dis/cvcu-witw,"NNDSS - TABLE 1N. Haemophilus influenzae, invasive disease, (age <5 years), Non-b serotype to Unknown serotype - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1N. Haemophilus influenzae, invasive disease, (age <5 years), Non-b serotype to Unknown serotype', 'id': 'cvcu-witw', 'description': ""NNDSS - TABLE 1N. Haemophilus influenzae, invasive disease, (age <5 years), Non-b serotype to Unknown serotype - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html\r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['health', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1N-Haemophilus-influenzae-invasive-dis/cvcu-witw'}"
"NNDSS - TABLE 1N. Haemophilus influenzae, invasive disease, (age <5 years), Non-b serotype to Unknown serotype",u7wx-dav2,u7wx-dav2_1736736542.913986_NNDSS_-_TABLE_1N._Haemophilus_influenzae__invasive_disease___age__5_years___Non-b_serotype_to_Unknown_serotype_20250113.csv.gz,2025-01-13 02:49:02 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1N-Haemophilus-influenzae-invasive-dis/u7wx-dav2,"NNDSS - TABLE 1N. Haemophilus influenzae, invasive disease, (age <5 years), Non-b serotype to Unknown serotype - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1N. Haemophilus influenzae, invasive disease, (age <5 years), Non-b serotype to Unknown serotype', 'id': 'u7wx-dav2', 'description': ""NNDSS - TABLE 1N. Haemophilus influenzae, invasive disease, (age <5 years), Non-b serotype to Unknown serotype - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html\r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1N-Haemophilus-influenzae-invasive-dis/u7wx-dav2'}"
"NNDSS - TABLE 1N. Haemophilus influenzae, invasive disease, Age <5 years, Non-b serotype to Unknown serotype",d2zt-4m8y,d2zt-4m8y_1736733592.643857_NNDSS_-_TABLE_1N._Haemophilus_influenzae__invasive_disease__Age__5_years__Non-b_serotype_to_Unknown_serotype_20250113.csv.gz,2025-01-13 01:59:52 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1N-Haemophilus-influenzae-invasive-dis/d2zt-4m8y,"NNDSS - TABLE 1N. Haemophilus influenzae, invasive disease, Age <5 years, Non-b serotype to Unknown serotype - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Notice: In Table 1n of the 2020 NNDSS weekly tables for weeks 1-53, data for Haemophilus influenzae in children < 5 years categorized as ""non-b serotype"" and ""unknown serotype"" were updated on 02/26/2021 to correct the data associated with these two serotype categories. The original version of the tables incorrectly displayed data for ""non-b serotype"" in the ""unknown serotype"" column and incorrectly displayed data for ""unknown serotype"" in the ""non-b serotype"" column. The data are corrected now.

Notice: Data from California published in week 29 for years 2019 and 2020 were incomplete when originally published on July 24, 2020. On August 4, 2020, incomplete case counts were replaced with a ""U"" indicating case counts are not available for specified time period. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).","<https://data.cdc.gov/NNDSS/NNDSS-TABLE-1N-Haemophilus-influenzae-invasive-dis/d2zt-4m8y>; rel=""original"",
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<http://web.archive.org/web/20221130142835/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1N-Haemophilus-influenzae-invasive-dis/d2zt-4m8y>; rel=""memento""; datetime=""Wed, 30 Nov 2022 14:28:35 GMT"",
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<http://web.archive.org/web/20240615042742/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1N-Haemophilus-influenzae-invasive-dis/d2zt-4m8y>; rel=""memento""; datetime=""Sat, 15 Jun 2024 04:27:42 GMT"",
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<http://web.archive.org/web/20241016014923/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1N-Haemophilus-influenzae-invasive-dis/d2zt-4m8y>; rel=""memento""; datetime=""Wed, 16 Oct 2024 01:49:23 GMT"",
<http://web.archive.org/web/20241122210120/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1N-Haemophilus-influenzae-invasive-dis/d2zt-4m8y>; rel=""memento""; datetime=""Fri, 22 Nov 2024 21:01:20 GMT"",
<http://web.archive.org/web/20241126162921/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1N-Haemophilus-influenzae-invasive-dis/d2zt-4m8y>; rel=""memento""; datetime=""Tue, 26 Nov 2024 16:29:21 GMT"",
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<http://web.archive.org/web/20250201012730/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1N-Haemophilus-influenzae-invasive-dis/d2zt-4m8y>; rel=""memento""; datetime=""Sat, 01 Feb 2025 01:27:30 GMT"",
<http://web.archive.org/web/20250201211627/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1N-Haemophilus-influenzae-invasive-dis/d2zt-4m8y>; rel=""memento""; datetime=""Sat, 01 Feb 2025 21:16:27 GMT"",
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<http://web.archive.org/web/20250204160923/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1N-Haemophilus-influenzae-invasive-dis/d2zt-4m8y>; rel=""memento""; datetime=""Tue, 04 Feb 2025 16:09:23 GMT"",
<http://web.archive.org/web/20250209223645/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1N-Haemophilus-influenzae-invasive-dis/d2zt-4m8y>; rel=""memento""; datetime=""Sun, 09 Feb 2025 22:36:45 GMT"",
<http://web.archive.org/web/20250209223651/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1N-Haemophilus-influenzae-invasive-dis/d2zt-4m8y>; rel=""memento""; datetime=""Sun, 09 Feb 2025 22:36:51 GMT""
","{'name': 'NNDSS - TABLE 1N. Haemophilus influenzae, invasive disease, Age <5 years, Non-b serotype to Unknown serotype', 'id': 'd2zt-4m8y', 'description': 'NNDSS - TABLE 1N. Haemophilus influenzae, invasive disease, Age <5 years, Non-b serotype to Unknown serotype - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Notice: In Table 1n of the 2020 NNDSS weekly tables for weeks 1-53, data for Haemophilus influenzae in children < 5 years categorized as ""non-b serotype"" and ""unknown serotype"" were updated on 02/26/2021 to correct the data associated with these two serotype categories. The original version of the tables incorrectly displayed data for ""non-b serotype"" in the ""unknown serotype"" column and incorrectly displayed data for ""unknown serotype"" in the ""non-b serotype"" column. The data are corrected now.\n\nNotice: Data from California published in week 29 for years 2019 and 2020 were incomplete when originally published on July 24, 2020. On August 4, 2020, incomplete case counts were replaced with a ""U"" indicating case counts are not available for specified time period. \n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case\'s country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the \'Non-U.S. Residents\' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).', 'datatype': 'tabular', 'keywords': ['health', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1N-Haemophilus-influenzae-invasive-dis/d2zt-4m8y'}"
"NNDSS - TABLE 1N. Haemophilus influenzae, invasive disease, Age <5 years, Non-b serotype to Unknown serotype",ekcb-r85s,ekcb-r85s_1736734880.918096_NNDSS_-_TABLE_1N._Haemophilus_influenzae__invasive_disease__Age__5_years__Non-b_serotype_to_Unknown_serotype_20250113.csv.gz,2025-01-13 02:21:20 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1N-Haemophilus-influenzae-invasive-dis/ekcb-r85s,"NNDSS - TABLE 1N. Haemophilus influenzae, invasive disease, Age <5 years, Non-b serotype to Unknown serotype - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice:  In Table 1n of the 2021 NNDSS weekly tables for week 1 only, data for Haemophilus influenzae in children < 5years categorized as ""non-b serotype"" and ""unknown serotype"" were updated on 02/26/2021 to correct the data associated with these two serotype categories. The original version of the tables incorrectly displayed data for ""non-b serotype"" in the ""unknown serotype"" column and incorrectly displayed data for ""unknown serotype"" in the ""non-b serotype"" column. The data are corrected now.

Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.

Note:
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1N. Haemophilus influenzae, invasive disease, Age <5 years, Non-b serotype to Unknown serotype', 'id': 'ekcb-r85s', 'description': 'NNDSS - TABLE 1N. Haemophilus influenzae, invasive disease, Age <5 years, Non-b serotype to Unknown serotype - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice:  In Table 1n of the 2021 NNDSS weekly tables for week 1 only, data for Haemophilus influenzae in children < 5years categorized as ""non-b serotype"" and ""unknown serotype"" were updated on 02/26/2021 to correct the data associated with these two serotype categories. The original version of the tables incorrectly displayed data for ""non-b serotype"" in the ""unknown serotype"" column and incorrectly displayed data for ""unknown serotype"" in the ""non-b serotype"" column. The data are corrected now.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote:\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.\n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case\'s country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the \'Non-U.S. Residents\' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1N-Haemophilus-influenzae-invasive-dis/ekcb-r85s'}"
"NNDSS - TABLE 1N. Haemophilus influenzae, invasive disease, Age <5 years, Non-b serotype to Unknown serotype",g6fu-zp23,g6fu-zp23_1736738238.984697_NNDSS_-_TABLE_1N._Haemophilus_influenzae__invasive_disease__Age__5_years__Non-b_serotype_to_Unknown_serotype_20250113.csv.gz,2025-01-13 03:17:18 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1N-Haemophilus-influenzae-invasive-dis/g6fu-zp23,"NNDSS - TABLE 1N. Haemophilus influenzae, invasive disease, Age <5 years, Non-b serotype to Unknown serotype - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notes:

•	These are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.
•	The list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.

Footnotes:

*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.",,"{'name': 'NNDSS - TABLE 1N. Haemophilus influenzae, invasive disease, Age <5 years, Non-b serotype to Unknown serotype', 'id': 'g6fu-zp23', 'description': ""NNDSS - TABLE 1N. Haemophilus influenzae, invasive disease, Age <5 years, Non-b serotype to Unknown serotype - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1N-Haemophilus-influenzae-invasive-dis/g6fu-zp23'}"
"NNDSS - TABLE 1NN. Viral hemorrhagic fevers, Guanarito virus to Viral hemorrhagic fevers, Lassa virus",bytj-42x7,bytj-42x7_1736711548.925646_NNDSS_-_TABLE_1NN._Viral_hemorrhagic_fevers__Guanarito_virus_to_Viral_hemorrhagic_fevers__Lassa_virus_20250112.csv.gz,2025-01-12 19:52:28 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1NN-Viral-hemorrhagic-fevers-Guanarito/bytj-42x7,"NNDSS - TABLE 1NN. Viral hemorrhagic fevers, Guanarito virus to Viral hemorrhagic fevers, Lassa virus – 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notes:

•	These are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.
•	The list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.

Footnotes:

*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.",,"{'name': 'NNDSS - TABLE 1NN. Viral hemorrhagic fevers, Guanarito virus to Viral hemorrhagic fevers, Lassa virus', 'id': 'bytj-42x7', 'description': ""NNDSS - TABLE 1NN. Viral hemorrhagic fevers, Guanarito virus to Viral hemorrhagic fevers, Lassa virus – 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1NN-Viral-hemorrhagic-fevers-Guanarito/bytj-42x7'}"
"NNDSS - TABLE 1NN. Viral hemorrhagic fevers, Junin virus to Viral hemorrhagic fevers, Lujo virus",7ecz-2gu3,7ecz-2gu3_1736736673.288330_NNDSS_-_TABLE_1NN._Viral_hemorrhagic_fevers__Junin_virus_to_Viral_hemorrhagic_fevers__Lujo_virus_20250113.csv.gz,2025-01-13 02:51:13 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1NN-Viral-hemorrhagic-fevers-Junin-vir/7ecz-2gu3,"NNDSS - TABLE 1NN. Viral hemorrhagic fevers, Junin virus to Viral hemorrhagic fevers, Lujo virus - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). 
§ Prior to 2015, CDC's National Notifiable Diseases Surveillance System (NNDSS) did not receive electronic data about incident cases of specific viral hemorrhagic fevers; instead data were collected in aggregate as ""viral hemorrhagic fevers'. NNDSS was updated beginning in 2015 to receive data for each of the viral hemorrhagic fevers listed.",,"{'name': 'NNDSS - TABLE 1NN. Viral hemorrhagic fevers, Junin virus to Viral hemorrhagic fevers, Lujo virus', 'id': '7ecz-2gu3', 'description': 'NNDSS - TABLE 1NN. Viral hemorrhagic fevers, Junin virus to Viral hemorrhagic fevers, Lujo virus - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case\'s country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the \'Non-US Residents\' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \r\n§ Prior to 2015, CDC\'s National Notifiable Diseases Surveillance System (NNDSS) did not receive electronic data about incident cases of specific viral hemorrhagic fevers; instead data were collected in aggregate as ""viral hemorrhagic fevers\'. NNDSS was updated beginning in 2015 to receive data for each of the viral hemorrhagic fevers listed.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1NN-Viral-hemorrhagic-fevers-Junin-vir/7ecz-2gu3'}"
"NNDSS - TABLE 1NN. Viral hemorrhagic fevers, Junin virus to Viral hemorrhagic fevers, Lujo virus",axsa-zcg5,axsa-zcg5_1736735149.670676_NNDSS_-_TABLE_1NN._Viral_hemorrhagic_fevers__Junin_virus_to_Viral_hemorrhagic_fevers__Lujo_virus_20250113.csv.gz,2025-01-13 02:25:49 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1NN-Viral-hemorrhagic-fevers-Junin-vir/axsa-zcg5,"NNDSS - TABLE 1NN. Viral hemorrhagic fevers, Junin virus to Viral hemorrhagic fevers, Lujo virus – 2020.  In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). 
§ Prior to 2015, CDC's National Notifiable Diseases Surveillance System (NNDSS) did not receive electronic data about incident cases of specific viral hemorrhagic fevers; instead data were collected in aggregate as ""viral hemorrhagic fevers"". NNDSS was updated beginning in 2015 to receive data for each of the viral hemorrhagic fevers listed.","<https://data.cdc.gov/NNDSS/NNDSS-TABLE-1NN-Viral-hemorrhagic-fevers-Junin-vir/axsa-zcg5>; rel=""original"",
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<http://web.archive.org/web/20210511010154/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1NN-Viral-hemorrhagic-fevers-Junin-vir/axsa-zcg5>; rel=""memento""; datetime=""Tue, 11 May 2021 01:01:54 GMT"",
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<http://web.archive.org/web/20210720131547/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1NN-Viral-hemorrhagic-fevers-Junin-vir/axsa-zcg5>; rel=""memento""; datetime=""Tue, 20 Jul 2021 13:15:47 GMT"",
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<http://web.archive.org/web/20220124003122/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1NN-Viral-hemorrhagic-fevers-Junin-vir/axsa-zcg5>; rel=""memento""; datetime=""Mon, 24 Jan 2022 00:31:22 GMT"",
<http://web.archive.org/web/20220705155128/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1NN-Viral-hemorrhagic-fevers-Junin-vir/axsa-zcg5>; rel=""memento""; datetime=""Tue, 05 Jul 2022 15:51:28 GMT"",
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<http://web.archive.org/web/20230328114849/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1NN-Viral-hemorrhagic-fevers-Junin-vir/axsa-zcg5>; rel=""memento""; datetime=""Tue, 28 Mar 2023 11:48:49 GMT"",
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<http://web.archive.org/web/20250206190330/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1NN-Viral-hemorrhagic-fevers-Junin-vir/axsa-zcg5>; rel=""memento""; datetime=""Thu, 06 Feb 2025 19:03:30 GMT"",
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","{'name': 'NNDSS - TABLE 1NN. Viral hemorrhagic fevers, Junin virus to Viral hemorrhagic fevers, Lujo virus', 'id': 'axsa-zcg5', 'description': 'NNDSS - TABLE 1NN. Viral hemorrhagic fevers, Junin virus to Viral hemorrhagic fevers, Lujo virus – 2020.  In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case\'s country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the \'Non-U.S. Residents\' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \n§ Prior to 2015, CDC\'s National Notifiable Diseases Surveillance System (NNDSS) did not receive electronic data about incident cases of specific viral hemorrhagic fevers; instead data were collected in aggregate as ""viral hemorrhagic fevers"". NNDSS was updated beginning in 2015 to receive data for each of the viral hemorrhagic fevers listed.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1NN-Viral-hemorrhagic-fevers-Junin-vir/axsa-zcg5'}"
"NNDSS - TABLE 1NN. Viral hemorrhagic fevers, Junin virus to Viral hemorrhagic fevers, Lujo virus",r8hr-3jkm,r8hr-3jkm_1736736781.673179_NNDSS_-_TABLE_1NN._Viral_hemorrhagic_fevers__Junin_virus_to_Viral_hemorrhagic_fevers__Lujo_virus_20250113.csv.gz,2025-01-13 02:53:01 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1NN-Viral-hemorrhagic-fevers-Junin-vir/r8hr-3jkm,"NNDSS - TABLE 1NN. Viral hemorrhagic fevers, Junin virus to Viral hemorrhagic fevers, Lujo virus - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). 
§ Prior to 2015, CDC's National Notifiable Diseases Surveillance System (NNDSS) did not receive electronic data about incident cases of specific viral hemorrhagic fevers; instead data were collected in aggregate as ""viral hemorrhagic fevers'. NNDSS was updated beginning in 2015 to receive data for each of the viral hemorrhagic fevers listed.",,"{'name': 'NNDSS - TABLE 1NN. Viral hemorrhagic fevers, Junin virus to Viral hemorrhagic fevers, Lujo virus', 'id': 'r8hr-3jkm', 'description': 'NNDSS - TABLE 1NN. Viral hemorrhagic fevers, Junin virus to Viral hemorrhagic fevers, Lujo virus - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case\'s country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the \'Non-US Residents\' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \r\n§ Prior to 2015, CDC\'s National Notifiable Diseases Surveillance System (NNDSS) did not receive electronic data about incident cases of specific viral hemorrhagic fevers; instead data were collected in aggregate as ""viral hemorrhagic fevers\'. NNDSS was updated beginning in 2015 to receive data for each of the viral hemorrhagic fevers listed.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1NN-Viral-hemorrhagic-fevers-Junin-vir/r8hr-3jkm'}"
"NNDSS - TABLE 1NN. Viral hemorrhagic fevers, Junin virus to Viral hemorrhagic fevers, Lujo virus",x8ni-jytx,x8ni-jytx_1736735251.912061_NNDSS_-_TABLE_1NN._Viral_hemorrhagic_fevers__Junin_virus_to_Viral_hemorrhagic_fevers__Lujo_virus_20250113.csv.gz,2025-01-13 02:27:31 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1NN-Viral-hemorrhagic-fevers-Junin-vir/x8ni-jytx,"NNDSS - TABLE 1NN. Viral hemorrhagic fevers, Junin virus to Viral hemorrhagic fevers, Lujo virus – 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
 Max: Maximum — Maximum case count during the previous 52 weeks.
  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). 
§ Prior to 2015, CDC's National Notifiable Diseases Surveillance System (NNDSS) did not receive electronic data about incident cases of specific viral hemorrhagic fevers; instead data were collected in aggregate as ""viral hemorrhagic fevers"". NNDSS was updated beginning in 2015 to receive data for each of the viral hemorrhagic fevers listed.",,"{'name': 'NNDSS - TABLE 1NN. Viral hemorrhagic fevers, Junin virus to Viral hemorrhagic fevers, Lujo virus', 'id': 'x8ni-jytx', 'description': 'NNDSS - TABLE 1NN. Viral hemorrhagic fevers, Junin virus to Viral hemorrhagic fevers, Lujo virus – 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case\'s country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the \'Non-U.S. Residents\' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \n§ Prior to 2015, CDC\'s National Notifiable Diseases Surveillance System (NNDSS) did not receive electronic data about incident cases of specific viral hemorrhagic fevers; instead data were collected in aggregate as ""viral hemorrhagic fevers"". NNDSS was updated beginning in 2015 to receive data for each of the viral hemorrhagic fevers listed.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1NN-Viral-hemorrhagic-fevers-Junin-vir/x8ni-jytx'}"
NNDSS - TABLE 1O.  Hansen's disease to Hantavirus pulmonary syndrome,azpx-5hzx,azpx-5hzx_1736735784.453415_NNDSS_-_TABLE_1O.__Hansen_s_disease_to_Hantavirus_pulmonary_syndrome_20250113.csv.gz,2025-01-13 02:36:24 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1O-Hansen-s-disease-to-Hantavirus-pulm/azpx-5hzx,"NNDSS - TABLE 1O.  Hansen's disease to Hantavirus pulmonary syndrome - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html 

Footnotes: 
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': ""NNDSS - TABLE 1O.  Hansen's disease to Hantavirus pulmonary syndrome"", 'id': 'azpx-5hzx', 'description': ""NNDSS - TABLE 1O.  Hansen's disease to Hantavirus pulmonary syndrome - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html \r\n\r\nFootnotes: \r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1O-Hansen-s-disease-to-Hantavirus-pulm/azpx-5hzx'}"
NNDSS - TABLE 1O.  Hansen's disease to Hantavirus pulmonary syndrome,bhxw-k5sb,bhxw-k5sb_1736735919.536739_NNDSS_-_TABLE_1O.__Hansen_s_disease_to_Hantavirus_pulmonary_syndrome_20250113.csv.gz,2025-01-13 02:38:39 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1O-Hansen-s-disease-to-Hantavirus-pulm/bhxw-k5sb,"NNDSS - TABLE 1O.  Hansen's disease to Hantavirus pulmonary syndrome - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html 

Footnotes: 
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': ""NNDSS - TABLE 1O.  Hansen's disease to Hantavirus pulmonary syndrome"", 'id': 'bhxw-k5sb', 'description': ""NNDSS - TABLE 1O.  Hansen's disease to Hantavirus pulmonary syndrome - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html \r\n\r\nFootnotes: \r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1O-Hansen-s-disease-to-Hantavirus-pulm/bhxw-k5sb'}"
NNDSS - TABLE 1O. Hansen's disease to Hantavirus pulmonary syndrome,a9xa-yrhn,a9xa-yrhn_1736735613.876665_NNDSS_-_TABLE_1O._Hansen_s_disease_to_Hantavirus_pulmonary_syndrome_20250113.csv.gz,2025-01-13 02:33:33 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1O-Hansen-s-disease-to-Hantavirus-pulm/a9xa-yrhn,"NNDSS - TABLE 1O. Hansen's disease to Hantavirus pulmonary syndrome - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). 
§ Includes data for old world hantavirus infections, such as Seoul virus infections. Prior to 2015, this condition was not nationally notifiable and data for this condition was not submitted to CDC's National Notifiable Diseases Surveillance System (NNDSS).
¶ Includes data for Andes virus infections.",,"{'name': ""NNDSS - TABLE 1O. Hansen's disease to Hantavirus pulmonary syndrome"", 'id': 'a9xa-yrhn', 'description': ""NNDSS - TABLE 1O. Hansen's disease to Hantavirus pulmonary syndrome - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \n§ Includes data for old world hantavirus infections, such as Seoul virus infections. Prior to 2015, this condition was not nationally notifiable and data for this condition was not submitted to CDC's National Notifiable Diseases Surveillance System (NNDSS).\n¶ Includes data for Andes virus infections."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1O-Hansen-s-disease-to-Hantavirus-pulm/a9xa-yrhn'}"
NNDSS - TABLE 1O. Hansen's disease to Hantavirus pulmonary syndrome,chmz-4uae,chmz-4uae_1736736469.504501_NNDSS_-_TABLE_1O._Hansen_s_disease_to_Hantavirus_pulmonary_syndrome_20250113.csv.gz,2025-01-13 02:47:49 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1O-Hansen-s-disease-to-Hantavirus-pulm/chmz-4uae,"NNDSS - TABLE 1O. Hansen's disease to Hantavirus pulmonary syndrome - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
 Max: Maximum — Maximum case count during the previous 52 weeks.
  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). 
§ Includes data for old world hantavirus infections, such as Seoul virus infections. Prior to 2015, this condition was not nationally notifiable and data for this condition was not submitted to CDC's National Notifiable Diseases Surveillance System (NNDSS).
¶ Includes data for Andes virus infections.",,"{'name': ""NNDSS - TABLE 1O. Hansen's disease to Hantavirus pulmonary syndrome"", 'id': 'chmz-4uae', 'description': ""NNDSS - TABLE 1O. Hansen's disease to Hantavirus pulmonary syndrome - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \n§ Includes data for old world hantavirus infections, such as Seoul virus infections. Prior to 2015, this condition was not nationally notifiable and data for this condition was not submitted to CDC's National Notifiable Diseases Surveillance System (NNDSS).\n¶ Includes data for Andes virus infections."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1O-Hansen-s-disease-to-Hantavirus-pulm/chmz-4uae'}"
NNDSS - TABLE 1O. Hansen's disease to Hantavirus pulmonary syndrome,tfcp-ufzp,tfcp-ufzp_1736737766.122308_NNDSS_-_TABLE_1O._Hansen_s_disease_to_Hantavirus_pulmonary_syndrome_20250113.csv.gz,2025-01-13 03:09:26 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1O-Hansen-s-disease-to-Hantavirus-pulm/tfcp-ufzp,"NNDSS - TABLE 1O. Hansen's disease to Hantavirus pulmonary syndrome - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notes:

•	These are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.
•	The list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.

Footnotes:

*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
§ Prior to 2015, this condition was not nationally notifiable and data for this condition was not submitted to CDC's National Notifiable Diseases Surveillance System (NNDSS).
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.",,"{'name': ""NNDSS - TABLE 1O. Hansen's disease to Hantavirus pulmonary syndrome"", 'id': 'tfcp-ufzp', 'description': ""NNDSS - TABLE 1O. Hansen's disease to Hantavirus pulmonary syndrome - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\n§ Prior to 2015, this condition was not nationally notifiable and data for this condition was not submitted to CDC's National Notifiable Diseases Surveillance System (NNDSS).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1O-Hansen-s-disease-to-Hantavirus-pulm/tfcp-ufzp'}"
"NNDSS - TABLE 1OO. Viral hemorrhagic fevers, Lujo virus to Viral hemorrhagic fevers, Marburg virus",cah8-bpvk,cah8-bpvk_1736711535.500651_NNDSS_-_TABLE_1OO._Viral_hemorrhagic_fevers__Lujo_virus_to_Viral_hemorrhagic_fevers__Marburg_virus_20250112.csv.gz,2025-01-12 19:52:15 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1OO-Viral-hemorrhagic-fevers-Lujo-viru/cah8-bpvk,"NNDSS - TABLE 1OO. Viral hemorrhagic fevers, Lujo virus to Viral hemorrhagic fevers, Marburg virus – 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents..

Notes:

•	These are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.
•	The list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.

Footnotes:

*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.",,"{'name': 'NNDSS - TABLE 1OO. Viral hemorrhagic fevers, Lujo virus to Viral hemorrhagic fevers, Marburg virus', 'id': 'cah8-bpvk', 'description': ""NNDSS - TABLE 1OO. Viral hemorrhagic fevers, Lujo virus to Viral hemorrhagic fevers, Marburg virus – 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents..\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1OO-Viral-hemorrhagic-fevers-Lujo-viru/cah8-bpvk'}"
"NNDSS - TABLE 1OO. Viral hemorrhagic fevers, Machupo virus to Viral hemorrhagic fevers, Sabia virus",5nfe-wsjn,5nfe-wsjn_1736734962.991544_NNDSS_-_TABLE_1OO._Viral_hemorrhagic_fevers__Machupo_virus_to_Viral_hemorrhagic_fevers__Sabia_virus_20250113.csv.gz,2025-01-13 02:22:42 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1OO-Viral-hemorrhagic-fevers-Machupo-v/5nfe-wsjn,"NNDSS - TABLE 1OO. Viral hemorrhagic fevers, Machupo virus to Viral hemorrhagic fevers, Sabia virus - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). 
§ Prior to 2015, CDC's National Notifiable Diseases Surveillance System (NNDSS) did not receive electronic data about incident cases of specific viral hemorrhagic fevers; instead data were collected in aggregate as ""viral hemorrhagic fevers'. NNDSS was updated beginning in 2015 to receive data for each of the viral hemorrhagic fevers listed.","<https://data.cdc.gov/NNDSS/NNDSS-TABLE-1OO-Viral-hemorrhagic-fevers-Machupo-v/5nfe-wsjn>; rel=""original"",
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","{'name': 'NNDSS - TABLE 1OO. Viral hemorrhagic fevers, Machupo virus to Viral hemorrhagic fevers, Sabia virus', 'id': '5nfe-wsjn', 'description': 'NNDSS - TABLE 1OO. Viral hemorrhagic fevers, Machupo virus to Viral hemorrhagic fevers, Sabia virus - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case\'s country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the \'Non-US Residents\' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \r\n§ Prior to 2015, CDC\'s National Notifiable Diseases Surveillance System (NNDSS) did not receive electronic data about incident cases of specific viral hemorrhagic fevers; instead data were collected in aggregate as ""viral hemorrhagic fevers\'. NNDSS was updated beginning in 2015 to receive data for each of the viral hemorrhagic fevers listed.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1OO-Viral-hemorrhagic-fevers-Machupo-v/5nfe-wsjn'}"
"NNDSS - TABLE 1OO. Viral hemorrhagic fevers, Machupo virus to Viral hemorrhagic fevers, Sabia virus",g3g2-srtq,g3g2-srtq_1736732992.502292_NNDSS_-_TABLE_1OO._Viral_hemorrhagic_fevers__Machupo_virus_to_Viral_hemorrhagic_fevers__Sabia_virus_20250113.csv.gz,2025-01-13 01:49:52 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1OO-Viral-hemorrhagic-fevers-Machupo-v/g3g2-srtq,"NNDSS - TABLE 1OO. Viral hemorrhagic fevers, Machupo virus to Viral hemorrhagic fevers, Sabia virus – 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Note:
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
§ Prior to 2015, CDC's National Notifiable Diseases Surveillance System (NNDSS) did not receive electronic data about incident cases of specific viral hemorrhagic fevers; instead data were collected in aggregate as ""viral hemorrhagic fevers"". NNDSS was updated beginning in 2015 to receive data for each of the viral hemorrhagic fevers listed.",,"{'name': 'NNDSS - TABLE 1OO. Viral hemorrhagic fevers, Machupo virus to Viral hemorrhagic fevers, Sabia virus', 'id': 'g3g2-srtq', 'description': 'NNDSS - TABLE 1OO. Viral hemorrhagic fevers, Machupo virus to Viral hemorrhagic fevers, Sabia virus – 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNote:\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.\n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case\'s country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the \'Non-U.S. Residents\' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\n§ Prior to 2015, CDC\'s National Notifiable Diseases Surveillance System (NNDSS) did not receive electronic data about incident cases of specific viral hemorrhagic fevers; instead data were collected in aggregate as ""viral hemorrhagic fevers"". NNDSS was updated beginning in 2015 to receive data for each of the viral hemorrhagic fevers listed.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1OO-Viral-hemorrhagic-fevers-Machupo-v/g3g2-srtq'}"
"NNDSS - TABLE 1OO. Viral hemorrhagic fevers, Machupo virus to Viral hemorrhagic fevers, Sabia virus",snev-n7vb,snev-n7vb_1736732543.687378_NNDSS_-_TABLE_1OO._Viral_hemorrhagic_fevers__Machupo_virus_to_Viral_hemorrhagic_fevers__Sabia_virus_20250113.csv.gz,2025-01-13 01:42:23 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1OO-Viral-hemorrhagic-fevers-Machupo-v/snev-n7vb,"NNDSS - TABLE 1OO. Viral hemorrhagic fevers, Machupo virus to Viral hemorrhagic fevers, Sabia virus – 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.

Note:
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
 Max: Maximum — Maximum case count during the previous 52 weeks.
  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). 
§ Prior to 2015, CDC's National Notifiable Diseases Surveillance System (NNDSS) did not receive electronic data about incident cases of specific viral hemorrhagic fevers; instead data were collected in aggregate as ""viral hemorrhagic fevers"". NNDSS was updated beginning in 2015 to receive data for each of the viral hemorrhagic fevers listed.",,"{'name': 'NNDSS - TABLE 1OO. Viral hemorrhagic fevers, Machupo virus to Viral hemorrhagic fevers, Sabia virus', 'id': 'snev-n7vb', 'description': 'NNDSS - TABLE 1OO. Viral hemorrhagic fevers, Machupo virus to Viral hemorrhagic fevers, Sabia virus – 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote:\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.\n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case\'s country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the \'Non-U.S. Residents\' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \n§ Prior to 2015, CDC\'s National Notifiable Diseases Surveillance System (NNDSS) did not receive electronic data about incident cases of specific viral hemorrhagic fevers; instead data were collected in aggregate as ""viral hemorrhagic fevers"". NNDSS was updated beginning in 2015 to receive data for each of the viral hemorrhagic fevers listed.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1OO-Viral-hemorrhagic-fevers-Machupo-v/snev-n7vb'}"
"NNDSS - TABLE 1P.  Hemolytic uremic syndrome post-diarrheal to Hepatitis (viral, acute, by type), B",wgyw-mswy,wgyw-mswy_1736728895.227613_NNDSS_-_TABLE_1P.__Hemolytic_uremic_syndrome_post-diarrheal_to_Hepatitis__viral__acute__by_type___B_20250113.csv.gz,2025-01-13 00:41:35 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1P-Hemolytic-uremic-syndrome-post-diar/wgyw-mswy,"NNDSS - TABLE 1P.  Hemolytic uremic syndrome post-diarrheal to Hepatitis (viral, acute, by type), B - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1P.  Hemolytic uremic syndrome post-diarrheal to Hepatitis (viral, acute, by type), B', 'id': 'wgyw-mswy', 'description': ""NNDSS - TABLE 1P.  Hemolytic uremic syndrome post-diarrheal to Hepatitis (viral, acute, by type), B - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1P-Hemolytic-uremic-syndrome-post-diar/wgyw-mswy'}"
"NNDSS - TABLE 1P.  Hemolytic uremic syndrome post-diarrheal to Hepatitis (viral, acute, by type), B",y4x9-2nqn,y4x9-2nqn_1736736306.977140_NNDSS_-_TABLE_1P.__Hemolytic_uremic_syndrome_post-diarrheal_to_Hepatitis__viral__acute__by_type___B_20250113.csv.gz,2025-01-13 02:45:06 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1P-Hemolytic-uremic-syndrome-post-diar/y4x9-2nqn,"NNDSS - TABLE 1P.  Hemolytic uremic syndrome post-diarrheal to Hepatitis (viral, acute, by type), B - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1P.  Hemolytic uremic syndrome post-diarrheal to Hepatitis (viral, acute, by type), B', 'id': 'y4x9-2nqn', 'description': ""NNDSS - TABLE 1P.  Hemolytic uremic syndrome post-diarrheal to Hepatitis (viral, acute, by type), B - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1P-Hemolytic-uremic-syndrome-post-diar/y4x9-2nqn'}"
"NNDSS - TABLE 1P. Hemolytic uremic syndrome post-diarrheal to Hepatitis B, acute",ex65-qa8z,ex65-qa8z_1736738153.575797_NNDSS_-_TABLE_1P._Hemolytic_uremic_syndrome_post-diarrheal_to_Hepatitis_B__acute_20250113.csv.gz,2025-01-13 03:15:53 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1P-Hemolytic-uremic-syndrome-post-diar/ex65-qa8z,"NNDSS - TABLE 1P. Hemolytic uremic syndrome post-diarrheal to Hepatitis B, acute - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notes:

•	These are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.
•	The list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.

Footnotes:

*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.",,"{'name': 'NNDSS - TABLE 1P. Hemolytic uremic syndrome post-diarrheal to Hepatitis B, acute', 'id': 'ex65-qa8z', 'description': ""NNDSS - TABLE 1P. Hemolytic uremic syndrome post-diarrheal to Hepatitis B, acute - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1P-Hemolytic-uremic-syndrome-post-diar/ex65-qa8z'}"
"NNDSS - TABLE 1P. Hemolytic uremic syndrome post-diarrheal to Hepatitis B, acute",uu9i-eu7y,uu9i-eu7y_1736733431.198646_NNDSS_-_TABLE_1P._Hemolytic_uremic_syndrome_post-diarrheal_to_Hepatitis_B__acute_20250113.csv.gz,2025-01-13 01:57:11 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1P-Hemolytic-uremic-syndrome-post-diar/uu9i-eu7y,"NNDSS - TABLE 1P. Hemolytic uremic syndrome post-diarrheal to Hepatitis B, acute - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Data from California published in week 29 for years 2019 and 2020 were incomplete when originally published on July 24, 2020. On August 4, 2020, incomplete case counts were replaced with a ""U"" indicating case counts are not available for specified time period. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1P. Hemolytic uremic syndrome post-diarrheal to Hepatitis B, acute', 'id': 'uu9i-eu7y', 'description': 'NNDSS - TABLE 1P. Hemolytic uremic syndrome post-diarrheal to Hepatitis B, acute - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Data from California published in week 29 for years 2019 and 2020 were incomplete when originally published on July 24, 2020. On August 4, 2020, incomplete case counts were replaced with a ""U"" indicating case counts are not available for specified time period. \n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case\'s country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the \'Non-U.S. Residents\' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1P-Hemolytic-uremic-syndrome-post-diar/uu9i-eu7y'}"
"NNDSS - TABLE 1P. Hemolytic uremic syndrome post-diarrheal to Hepatitis B, acute",w79a-dgrh,w79a-dgrh_1736733535.332442_NNDSS_-_TABLE_1P._Hemolytic_uremic_syndrome_post-diarrheal_to_Hepatitis_B__acute_20250113.csv.gz,2025-01-13 01:58:55 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1P-Hemolytic-uremic-syndrome-post-diar/w79a-dgrh,"NNDSS - TABLE 1P. Hemolytic uremic syndrome post-diarrheal to Hepatitis B, acute - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
 Max: Maximum — Maximum case count during the previous 52 weeks.
  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1P. Hemolytic uremic syndrome post-diarrheal to Hepatitis B, acute', 'id': 'w79a-dgrh', 'description': ""NNDSS - TABLE 1P. Hemolytic uremic syndrome post-diarrheal to Hepatitis B, acute - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['demographics', 'health', 'public safety', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1P-Hemolytic-uremic-syndrome-post-diar/w79a-dgrh'}"
"NNDSS - TABLE 1PP. Viral hemorrhagic fevers, Sabia virus to Zika virus disease, non-congenital",3nij-2pw6,3nij-2pw6_1736711413.083080_NNDSS_-_TABLE_1PP._Viral_hemorrhagic_fevers__Sabia_virus_to_Zika_virus_disease__non-congenital_20250112.csv.gz,2025-01-12 19:50:13 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1PP-Viral-hemorrhagic-fevers-Sabia-vir/3nij-2pw6,"NNDSS - TABLE 1PP. Viral hemorrhagic fevers, Sabia virus to Zika virus disease, non-congenital – 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notes:

•	These are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.
•	The list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.

Footnotes:

*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.",,"{'name': 'NNDSS - TABLE 1PP. Viral hemorrhagic fevers, Sabia virus to Zika virus disease, non-congenital', 'id': '3nij-2pw6', 'description': ""NNDSS - TABLE 1PP. Viral hemorrhagic fevers, Sabia virus to Zika virus disease, non-congenital – 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1PP-Viral-hemorrhagic-fevers-Sabia-vir/3nij-2pw6'}"
"NNDSS - TABLE 1PP. Yellow fever to Zika virus disease, non-congenital",bk9t-cq4b,bk9t-cq4b_1736724819.816359_NNDSS_-_TABLE_1PP._Yellow_fever_to_Zika_virus_disease__non-congenital_20250112.csv.gz,2025-01-12 23:33:39 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1PP-Yellow-fever-to-Zika-virus-disease/bk9t-cq4b,"NNDSS - TABLE 1PP. Yellow fever to Zika virus disease, non-congenital – 2020.  In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1PP. Yellow fever to Zika virus disease, non-congenital', 'id': 'bk9t-cq4b', 'description': ""NNDSS - TABLE 1PP. Yellow fever to Zika virus disease, non-congenital – 2020.  In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1PP-Yellow-fever-to-Zika-virus-disease/bk9t-cq4b'}"
"NNDSS - TABLE 1PP. Yellow fever to Zika virus disease, non-congenital",gp24-kfxi,gp24-kfxi_1736733910.906704_NNDSS_-_TABLE_1PP._Yellow_fever_to_Zika_virus_disease__non-congenital_20250113.csv.gz,2025-01-13 02:05:10 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1PP-Yellow-fever-to-Zika-virus-disease/gp24-kfxi,"NNDSS - TABLE 1PP. Yellow fever to Zika virus disease, non-congenital - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1PP. Yellow fever to Zika virus disease, non-congenital', 'id': 'gp24-kfxi', 'description': ""NNDSS - TABLE 1PP. Yellow fever to Zika virus disease, non-congenital - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1PP-Yellow-fever-to-Zika-virus-disease/gp24-kfxi'}"
"NNDSS - TABLE 1PP. Yellow fever to Zika virus disease, non-congenital",qz67-9a9h,qz67-9a9h_1736731330.472493_NNDSS_-_TABLE_1PP._Yellow_fever_to_Zika_virus_disease__non-congenital_20250113.csv.gz,2025-01-13 01:22:10 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1PP-Yellow-fever-to-Zika-virus-disease/qz67-9a9h,"NNDSS - TABLE 1PP. Yellow fever to Zika virus disease, non-congenital - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).","<https://data.cdc.gov/NNDSS/NNDSS-TABLE-1PP-Yellow-fever-to-Zika-virus-disease/qz67-9a9h>; rel=""original"",
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<http://web.archive.org/web/20210720125806/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1PP-Yellow-fever-to-Zika-virus-disease/qz67-9a9h>; rel=""memento""; datetime=""Tue, 20 Jul 2021 12:58:06 GMT"",
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<http://web.archive.org/web/20230531215921/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1PP-Yellow-fever-to-Zika-virus-disease/qz67-9a9h>; rel=""memento""; datetime=""Wed, 31 May 2023 21:59:21 GMT"",
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<http://web.archive.org/web/20240416132122/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1PP-Yellow-fever-to-Zika-virus-disease/qz67-9a9h>; rel=""memento""; datetime=""Tue, 16 Apr 2024 13:21:22 GMT"",
<http://web.archive.org/web/20240610063752/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1PP-Yellow-fever-to-Zika-virus-disease/qz67-9a9h>; rel=""memento""; datetime=""Mon, 10 Jun 2024 06:37:52 GMT"",
<http://web.archive.org/web/20240619201904/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1PP-Yellow-fever-to-Zika-virus-disease/qz67-9a9h>; rel=""memento""; datetime=""Wed, 19 Jun 2024 20:19:04 GMT"",
<http://web.archive.org/web/20240930092253/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1PP-Yellow-fever-to-Zika-virus-disease/qz67-9a9h>; rel=""memento""; datetime=""Mon, 30 Sep 2024 09:22:53 GMT"",
<http://web.archive.org/web/20241107154148/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1PP-Yellow-fever-to-Zika-virus-disease/qz67-9a9h>; rel=""memento""; datetime=""Thu, 07 Nov 2024 15:41:48 GMT"",
<http://web.archive.org/web/20241122210258/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1PP-Yellow-fever-to-Zika-virus-disease/qz67-9a9h>; rel=""memento""; datetime=""Fri, 22 Nov 2024 21:02:58 GMT"",
<http://web.archive.org/web/20241126171252/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1PP-Yellow-fever-to-Zika-virus-disease/qz67-9a9h>; rel=""memento""; datetime=""Tue, 26 Nov 2024 17:12:52 GMT"",
<http://web.archive.org/web/20250201020203/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1PP-Yellow-fever-to-Zika-virus-disease/qz67-9a9h>; rel=""memento""; datetime=""Sat, 01 Feb 2025 02:02:03 GMT"",
<http://web.archive.org/web/20250201211601/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1PP-Yellow-fever-to-Zika-virus-disease/qz67-9a9h>; rel=""memento""; datetime=""Sat, 01 Feb 2025 21:16:01 GMT"",
<http://web.archive.org/web/20250202092447/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1PP-Yellow-fever-to-Zika-virus-disease/qz67-9a9h>; rel=""memento""; datetime=""Sun, 02 Feb 2025 09:24:47 GMT"",
<http://web.archive.org/web/20250202190011/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1PP-Yellow-fever-to-Zika-virus-disease/qz67-9a9h>; rel=""memento""; datetime=""Sun, 02 Feb 2025 19:00:11 GMT"",
<http://web.archive.org/web/20250203102407/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1PP-Yellow-fever-to-Zika-virus-disease/qz67-9a9h>; rel=""memento""; datetime=""Mon, 03 Feb 2025 10:24:07 GMT"",
<http://web.archive.org/web/20250209210203/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1PP-Yellow-fever-to-Zika-virus-disease/qz67-9a9h>; rel=""memento""; datetime=""Sun, 09 Feb 2025 21:02:03 GMT"",
<http://web.archive.org/web/20250209210207/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1PP-Yellow-fever-to-Zika-virus-disease/qz67-9a9h/>; rel=""memento""; datetime=""Sun, 09 Feb 2025 21:02:07 GMT""
","{'name': 'NNDSS - TABLE 1PP. Yellow fever to Zika virus disease, non-congenital', 'id': 'qz67-9a9h', 'description': ""NNDSS - TABLE 1PP. Yellow fever to Zika virus disease, non-congenital - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1PP-Yellow-fever-to-Zika-virus-disease/qz67-9a9h'}"
"NNDSS - TABLE 1PP. Yellow fever to Zika virus disease, non-congenital",rsk8-spa7,rsk8-spa7_1736728081.405552_NNDSS_-_TABLE_1PP._Yellow_fever_to_Zika_virus_disease__non-congenital_20250113.csv.gz,2025-01-13 00:28:01 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1PP-Yellow-fever-to-Zika-virus-disease/rsk8-spa7,"NNDSS - TABLE 1PP. Yellow fever to Zika virus disease, non-congenital – 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
 Max: Maximum — Maximum case count during the previous 52 weeks.
  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1PP. Yellow fever to Zika virus disease, non-congenital', 'id': 'rsk8-spa7', 'description': ""NNDSS - TABLE 1PP. Yellow fever to Zika virus disease, non-congenital – 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1PP-Yellow-fever-to-Zika-virus-disease/rsk8-spa7'}"
"NNDSS - TABLE 1Q. Hepatitis B, perinatal infection to Hepatitis C (viral, acute), Probable",8ezu-y38w,8ezu-y38w_1736735722.773628_NNDSS_-_TABLE_1Q._Hepatitis_B__perinatal_infection_to_Hepatitis_C__viral__acute___Probable_20250113.csv.gz,2025-01-13 02:35:22 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1Q-Hepatitis-B-perinatal-infection-to-/8ezu-y38w,"NNDSS - TABLE 1Q.  Hepatitis B, perinatal infection to Hepatitis C (viral, acute), Probable - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
 Max: Maximum — Maximum case count during the previous 52 weeks.
 * Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). 
§ For acute Hepatitis C, only confirmed cases were verified.",,"{'name': 'NNDSS - TABLE 1Q. Hepatitis B, perinatal infection to Hepatitis C (viral, acute), Probable', 'id': '8ezu-y38w', 'description': ""NNDSS - TABLE 1Q.  Hepatitis B, perinatal infection to Hepatitis C (viral, acute), Probable - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\n Max: Maximum — Maximum case count during the previous 52 weeks.\r\n * Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \r\n§ For acute Hepatitis C, only confirmed cases were verified."", 'datatype': 'tabular', 'keywords': ['health', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1Q-Hepatitis-B-perinatal-infection-to-/8ezu-y38w'}"
"NNDSS - TABLE 1Q. Hepatitis B, perinatal infection to Hepatitis C (viral, acute), Probable",fyv2-xffj,fyv2-xffj_1736735709.100283_NNDSS_-_TABLE_1Q._Hepatitis_B__perinatal_infection_to_Hepatitis_C__viral__acute___Probable_20250113.csv.gz,2025-01-13 02:35:09 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1Q-Hepatitis-B-perinatal-infection-to-/fyv2-xffj,"NNDSS - TABLE 1Q.  Hepatitis B, perinatal infection to Hepatitis C (viral, acute), Probable - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
 Max: Maximum — Maximum case count during the previous 52 weeks.
 * Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). 
§ For acute Hepatitis C, only confirmed cases were verified.",,"{'name': 'NNDSS - TABLE 1Q. Hepatitis B, perinatal infection to Hepatitis C (viral, acute), Probable', 'id': 'fyv2-xffj', 'description': ""NNDSS - TABLE 1Q.  Hepatitis B, perinatal infection to Hepatitis C (viral, acute), Probable - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\n Max: Maximum — Maximum case count during the previous 52 weeks.\r\n * Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \r\n§ For acute Hepatitis C, only confirmed cases were verified."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1Q-Hepatitis-B-perinatal-infection-to-/fyv2-xffj'}"
"NNDSS - TABLE 1Q. Hepatitis B, perinatal infection to Hepatitis C, acute, Probable",fj6i-3v3k,fj6i-3v3k_1736722355.047271_NNDSS_-_TABLE_1Q._Hepatitis_B__perinatal_infection_to_Hepatitis_C__acute__Probable_20250112.csv.gz,2025-01-12 22:52:35 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1Q-Hepatitis-B-perinatal-infection-to-/fj6i-3v3k,"NNDSS - TABLE 1Q. Hepatitis B, perinatal infection to Hepatitis C, acute, Probable - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notes:

•	These are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.
•	The list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.

Footnotes:

*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.",,"{'name': 'NNDSS - TABLE 1Q. Hepatitis B, perinatal infection to Hepatitis C, acute, Probable', 'id': 'fj6i-3v3k', 'description': ""NNDSS - TABLE 1Q. Hepatitis B, perinatal infection to Hepatitis C, acute, Probable - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1Q-Hepatitis-B-perinatal-infection-to-/fj6i-3v3k'}"
"NNDSS - TABLE 1Q. Hepatitis B, perinatal infection to Hepatitis C, acute, Probable",mwkk-wzmy,mwkk-wzmy_1736735122.600835_NNDSS_-_TABLE_1Q._Hepatitis_B__perinatal_infection_to_Hepatitis_C__acute__Probable_20250113.csv.gz,2025-01-13 02:25:22 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1Q-Hepatitis-B-perinatal-infection-to-/mwkk-wzmy,"NNDSS - TABLE 1Q. Hepatitis B, perinatal infection to Hepatitis C, acute, Probable - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
 Max: Maximum — Maximum case count during the previous 52 weeks.
  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). 
§ For acute Hepatitis C, only confirmed cases were verified.",,"{'name': 'NNDSS - TABLE 1Q. Hepatitis B, perinatal infection to Hepatitis C, acute, Probable', 'id': 'mwkk-wzmy', 'description': ""NNDSS - TABLE 1Q. Hepatitis B, perinatal infection to Hepatitis C, acute, Probable - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \n§ For acute Hepatitis C, only confirmed cases were verified."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1Q-Hepatitis-B-perinatal-infection-to-/mwkk-wzmy'}"
"NNDSS - TABLE 1Q. Hepatitis B, perinatal infection to Hepatitis C, acute, Probable",y4ut-ybj7,y4ut-ybj7_1736734095.432588_NNDSS_-_TABLE_1Q._Hepatitis_B__perinatal_infection_to_Hepatitis_C__acute__Probable_20250113.csv.gz,2025-01-13 02:08:15 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1Q-Hepatitis-B-perinatal-infection-to-/y4ut-ybj7,"NNDSS - TABLE 1Q. Hepatitis B, perinatal infection to Hepatitis C, acute, Probable - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Data from California published in week 29 for years 2019 and 2020 were incomplete when originally published on July 24, 2020. On August 4, 2020, incomplete case counts were replaced with a ""U"" indicating case counts are not available for specified time period. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). 
§ For acute Hepatitis C, only confirmed cases were verified.",,"{'name': 'NNDSS - TABLE 1Q. Hepatitis B, perinatal infection to Hepatitis C, acute, Probable', 'id': 'y4ut-ybj7', 'description': 'NNDSS - TABLE 1Q. Hepatitis B, perinatal infection to Hepatitis C, acute, Probable - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Data from California published in week 29 for years 2019 and 2020 were incomplete when originally published on July 24, 2020. On August 4, 2020, incomplete case counts were replaced with a ""U"" indicating case counts are not available for specified time period. \n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case\'s country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the \'Non-U.S. Residents\' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \n§ For acute Hepatitis C, only confirmed cases were verified.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1Q-Hepatitis-B-perinatal-infection-to-/y4ut-ybj7'}"
"NNDSS - TABLE 1R. Hepatitis C, perinatal infection to Influenza-associated pediatric mortality",2qxe-cmv4,2qxe-cmv4_1736736266.686518_NNDSS_-_TABLE_1R._Hepatitis_C__perinatal_infection_to_Influenza-associated_pediatric_mortality_20250113.csv.gz,2025-01-13 02:44:26 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1R-Hepatitis-C-perinatal-infection-to-/2qxe-cmv4,"NNDSS - TABLE 1R. Hepatitis C, perinatal infection to Influenza-associated pediatric mortality - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
 Max: Maximum — Maximum case count during the previous 52 weeks.
  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). 
§ Please refer to the CDC WONDER publication for weekly updates to the footnote for this condition.",,"{'name': 'NNDSS - TABLE 1R. Hepatitis C, perinatal infection to Influenza-associated pediatric mortality', 'id': '2qxe-cmv4', 'description': ""NNDSS - TABLE 1R. Hepatitis C, perinatal infection to Influenza-associated pediatric mortality - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \n§ Please refer to the CDC WONDER publication for weekly updates to the footnote for this condition."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1R-Hepatitis-C-perinatal-infection-to-/2qxe-cmv4'}"
"NNDSS - TABLE 1R. Hepatitis C, perinatal infection to Influenza-associated pediatric mortality",ctu5-k6yz,ctu5-k6yz_1736735960.088844_NNDSS_-_TABLE_1R._Hepatitis_C__perinatal_infection_to_Influenza-associated_pediatric_mortality_20250113.csv.gz,2025-01-13 02:39:20 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1R-Hepatitis-C-perinatal-infection-to-/ctu5-k6yz,"NNDSS - TABLE 1R. Hepatitis C, perinatal infection to Influenza-associated pediatric mortality - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Data from California published in week 29 for years 2019 and 2020 were incomplete when originally published on July 24, 2020. On August 4, 2020, incomplete case counts were replaced with a ""U"" indicating case counts are not available for specified time period. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). 
§ Please refer to the CDC WONDER publication for weekly updates to the footnote for this condition.",,"{'name': 'NNDSS - TABLE 1R. Hepatitis C, perinatal infection to Influenza-associated pediatric mortality', 'id': 'ctu5-k6yz', 'description': 'NNDSS - TABLE 1R. Hepatitis C, perinatal infection to Influenza-associated pediatric mortality - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Data from California published in week 29 for years 2019 and 2020 were incomplete when originally published on July 24, 2020. On August 4, 2020, incomplete case counts were replaced with a ""U"" indicating case counts are not available for specified time period. \n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case\'s country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the \'Non-U.S. Residents\' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \n§ Please refer to the CDC WONDER publication for weekly updates to the footnote for this condition.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1R-Hepatitis-C-perinatal-infection-to-/ctu5-k6yz'}"
"NNDSS - TABLE 1R. Hepatitis C, perinatal infection to Influenza-associated pediatric mortality",rnah-xd9n,rnah-xd9n_1736737996.396030_NNDSS_-_TABLE_1R._Hepatitis_C__perinatal_infection_to_Influenza-associated_pediatric_mortality_20250113.csv.gz,2025-01-13 03:13:16 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1R-Hepatitis-C-perinatal-infection-to-/rnah-xd9n,"NNDSS - TABLE 1R. Hepatitis C, perinatal infection to Influenza-associated pediatric mortality - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notes:

•	These are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.

•	The list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.

Footnotes:

*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
§ Please refer to the CDC WONDER publication for weekly updates to the footnote for this condition.
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.","<https://data.cdc.gov/NNDSS/NNDSS-TABLE-1R-Hepatitis-C-perinatal-infection-to-/rnah-xd9n>; rel=""original"",
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","{'name': 'NNDSS - TABLE 1R. Hepatitis C, perinatal infection to Influenza-associated pediatric mortality', 'id': 'rnah-xd9n', 'description': ""NNDSS - TABLE 1R. Hepatitis C, perinatal infection to Influenza-associated pediatric mortality - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\n§ Please refer to the CDC WONDER publication for weekly updates to the footnote for this condition.\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1R-Hepatitis-C-perinatal-infection-to-/rnah-xd9n'}"
"NNDSS - TABLE 1R. Hepatitis C, perinatal infection to Influenza-associated pediatric mortality",tv5g-74as,tv5g-74as_1736734989.933007_NNDSS_-_TABLE_1R._Hepatitis_C__perinatal_infection_to_Influenza-associated_pediatric_mortality_20250113.csv.gz,2025-01-13 02:23:09 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1R-Hepatitis-C-perinatal-infection-to-/tv5g-74as,"NNDSS - TABLE 1R. Hepatitis C, perinatal infection to Influenza-associated pediatric mortality - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
 Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). 
§ Since [INSERT DATE], XXX influenza-associated pediatric deaths occurring during the 2017-18 season have been reported.",,"{'name': 'NNDSS - TABLE 1R. Hepatitis C, perinatal infection to Influenza-associated pediatric mortality', 'id': 'tv5g-74as', 'description': ""NNDSS - TABLE 1R. Hepatitis C, perinatal infection to Influenza-associated pediatric mortality - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\n Max: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \r\n§ Since [INSERT DATE], XXX influenza-associated pediatric deaths occurring during the 2017-18 season have been reported."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1R-Hepatitis-C-perinatal-infection-to-/tv5g-74as'}"
"NNDSS - TABLE 1R. Hepatitis C, perinatal infection to Influenza-associated pediatric mortality",xna8-x7qg,xna8-x7qg_1736735017.248189_NNDSS_-_TABLE_1R._Hepatitis_C__perinatal_infection_to_Influenza-associated_pediatric_mortality_20250113.csv.gz,2025-01-13 02:23:37 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1R-Hepatitis-C-perinatal-infection-to-/xna8-x7qg,"NNDSS - TABLE 1R. Hepatitis C, perinatal infection to Influenza-associated pediatric mortality - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
 Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). 
§ Since [INSERT DATE], XXX influenza-associated pediatric deaths occurring during the 2017-18 season have been reported.","<https://data.cdc.gov/NNDSS/NNDSS-TABLE-1R-Hepatitis-C-perinatal-infection-to-/xna8-x7qg>; rel=""original"",
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","{'name': 'NNDSS - TABLE 1R. Hepatitis C, perinatal infection to Influenza-associated pediatric mortality', 'id': 'xna8-x7qg', 'description': ""NNDSS - TABLE 1R. Hepatitis C, perinatal infection to Influenza-associated pediatric mortality - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\n Max: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \r\n§ Since [INSERT DATE], XXX influenza-associated pediatric deaths occurring during the 2017-18 season have been reported."", 'datatype': 'tabular', 'keywords': ['health', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1R-Hepatitis-C-perinatal-infection-to-/xna8-x7qg'}"
"NNDSS - TABLE 1S. Invasive pneumococcal disease, all ages, Confirmed to Invasive pneumococcal disease, all ages, Probable",drfe-vxdh,drfe-vxdh_1736736867.670306_NNDSS_-_TABLE_1S._Invasive_pneumococcal_disease__all_ages__Confirmed_to_Invasive_pneumococcal_disease__all_ages__Probable_20250113.csv.gz,2025-01-13 02:54:27 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1S-Invasive-pneumococcal-disease-all-a/drfe-vxdh,"NNDSS - TABLE 1S. Invasive pneumococcal disease, all ages, Confirmed to Invasive pneumococcal disease, all ages, Probable - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
 Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). 
§ Includes drug resistant and susceptible cases of Invasive Pneumococcal Disease.",,"{'name': 'NNDSS - TABLE 1S. Invasive pneumococcal disease, all ages, Confirmed to Invasive pneumococcal disease, all ages, Probable', 'id': 'drfe-vxdh', 'description': ""NNDSS - TABLE 1S. Invasive pneumococcal disease, all ages, Confirmed to Invasive pneumococcal disease, all ages, Probable - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\n Max: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \r\n§ Includes drug resistant and susceptible cases of Invasive Pneumococcal Disease."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1S-Invasive-pneumococcal-disease-all-a/drfe-vxdh'}"
"NNDSS - TABLE 1S. Invasive pneumococcal disease, all ages, Confirmed to Invasive pneumococcal disease, all ages, Probable",mrip-2k2a,mrip-2k2a_1736735238.401353_NNDSS_-_TABLE_1S._Invasive_pneumococcal_disease__all_ages__Confirmed_to_Invasive_pneumococcal_disease__all_ages__Probable_20250113.csv.gz,2025-01-13 02:27:18 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1S-Invasive-pneumococcal-disease-all-a/mrip-2k2a,"NNDSS - TABLE 1S. Invasive pneumococcal disease, all ages, Confirmed to Invasive pneumococcal disease, all ages, Probable - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
 Max: Maximum — Maximum case count during the previous 52 weeks.
  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). 
§ Includes drug resistant and susceptible cases of Invasive Pneumococcal Disease.",,"{'name': 'NNDSS - TABLE 1S. Invasive pneumococcal disease, all ages, Confirmed to Invasive pneumococcal disease, all ages, Probable', 'id': 'mrip-2k2a', 'description': ""NNDSS - TABLE 1S. Invasive pneumococcal disease, all ages, Confirmed to Invasive pneumococcal disease, all ages, Probable - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \n§ Includes drug resistant and susceptible cases of Invasive Pneumococcal Disease."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1S-Invasive-pneumococcal-disease-all-a/mrip-2k2a'}"
"NNDSS - TABLE 1S. Invasive pneumococcal disease, all ages, Confirmed to Invasive pneumococcal disease, all ages, Probable",r9mz-pvtk,r9mz-pvtk_1736732078.140283_NNDSS_-_TABLE_1S._Invasive_pneumococcal_disease__all_ages__Confirmed_to_Invasive_pneumococcal_disease__all_ages__Probable_20250113.csv.gz,2025-01-13 01:34:38 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1S-Invasive-pneumococcal-disease-all-a/r9mz-pvtk,"NNDSS - TABLE 1S. Invasive pneumococcal disease, all ages, Confirmed to Invasive pneumococcal disease, all ages, Probable - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:

U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). 
§ Includes drug resistant and susceptible cases of Invasive Pneumococcal Disease.",,"{'name': 'NNDSS - TABLE 1S. Invasive pneumococcal disease, all ages, Confirmed to Invasive pneumococcal disease, all ages, Probable', 'id': 'r9mz-pvtk', 'description': ""NNDSS - TABLE 1S. Invasive pneumococcal disease, all ages, Confirmed to Invasive pneumococcal disease, all ages, Probable - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\n\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \n§ Includes drug resistant and susceptible cases of Invasive Pneumococcal Disease."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1S-Invasive-pneumococcal-disease-all-a/r9mz-pvtk'}"
"NNDSS - TABLE 1S. Invasive pneumococcal disease, all ages, Confirmed to Invasive pneumococcal disease, all ages, Probable",rwap-xbst,rwap-xbst_1736736402.246195_NNDSS_-_TABLE_1S._Invasive_pneumococcal_disease__all_ages__Confirmed_to_Invasive_pneumococcal_disease__all_ages__Probable_20250113.csv.gz,2025-01-13 02:46:42 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1S-Invasive-pneumococcal-disease-all-a/rwap-xbst,"NNDSS - TABLE 1S. Invasive pneumococcal disease, all ages, Confirmed to Invasive pneumococcal disease, all ages, Probable - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
 Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). 
§ Includes drug resistant and susceptible cases of Invasive Pneumococcal Disease.",,"{'name': 'NNDSS - TABLE 1S. Invasive pneumococcal disease, all ages, Confirmed to Invasive pneumococcal disease, all ages, Probable', 'id': 'rwap-xbst', 'description': ""NNDSS - TABLE 1S. Invasive pneumococcal disease, all ages, Confirmed to Invasive pneumococcal disease, all ages, Probable - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\n Max: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \r\n§ Includes drug resistant and susceptible cases of Invasive Pneumococcal Disease."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1S-Invasive-pneumococcal-disease-all-a/rwap-xbst'}"
"NNDSS - TABLE 1S. Invasive pneumococcal disease, all ages, Confirmed to Invasive pneumococcal disease, all ages, Probable",xvdv-hq7x,xvdv-hq7x_1736738071.769592_NNDSS_-_TABLE_1S._Invasive_pneumococcal_disease__all_ages__Confirmed_to_Invasive_pneumococcal_disease__all_ages__Probable_20250113.csv.gz,2025-01-13 03:14:31 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1S-Invasive-pneumococcal-disease-all-a/xvdv-hq7x,"NNDSS - TABLE 1S. Invasive pneumococcal disease, all ages, Confirmed to Invasive pneumococcal disease, all ages, Probable - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notes:

•	These are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.
•	The list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.

Footnotes:

*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.",,"{'name': 'NNDSS - TABLE 1S. Invasive pneumococcal disease, all ages, Confirmed to Invasive pneumococcal disease, all ages, Probable', 'id': 'xvdv-hq7x', 'description': ""NNDSS - TABLE 1S. Invasive pneumococcal disease, all ages, Confirmed to Invasive pneumococcal disease, all ages, Probable - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1S-Invasive-pneumococcal-disease-all-a/xvdv-hq7x'}"
"NNDSS - TABLE 1T. Invasive pneumococcal disease, Age<5 years, Confirmed to Legionellosis",5hvx-krph,5hvx-krph_1736734922.524018_NNDSS_-_TABLE_1T._Invasive_pneumococcal_disease__Age_5_years__Confirmed_to_Legionellosis_20250113.csv.gz,2025-01-13 02:22:02 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1T-Invasive-pneumococcal-disease-Age-5/5hvx-krph,"NNDSS - TABLE 1T. Invasive pneumococcal disease, age<5 years, Confirmed to Legionellosis - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). 
§ Includes drug resistant and susceptible cases of Invasive Pneumococcal Disease.",,"{'name': 'NNDSS - TABLE 1T. Invasive pneumococcal disease, Age<5 years, Confirmed to Legionellosis', 'id': '5hvx-krph', 'description': ""NNDSS - TABLE 1T. Invasive pneumococcal disease, age<5 years, Confirmed to Legionellosis - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \n§ Includes drug resistant and susceptible cases of Invasive Pneumococcal Disease."", 'datatype': 'tabular', 'keywords': ['health', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1T-Invasive-pneumococcal-disease-Age-5/5hvx-krph'}"
"NNDSS - TABLE 1T. Invasive pneumococcal disease, Age<5 years, Confirmed to Legionellosis",mr4u-abm2,mr4u-abm2_1736738306.340404_NNDSS_-_TABLE_1T._Invasive_pneumococcal_disease__Age_5_years__Confirmed_to_Legionellosis_20250113.csv.gz,2025-01-13 03:18:26 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1T-Invasive-pneumococcal-disease-Age-5/mr4u-abm2,"NNDSS - TABLE 1T. Invasive pneumococcal disease, age<5 years, Confirmed to Legionellosis - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notes:

•	These are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.
•	The list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.

Footnotes:

*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.",,"{'name': 'NNDSS - TABLE 1T. Invasive pneumococcal disease, Age<5 years, Confirmed to Legionellosis', 'id': 'mr4u-abm2', 'description': ""NNDSS - TABLE 1T. Invasive pneumococcal disease, age<5 years, Confirmed to Legionellosis - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1T-Invasive-pneumococcal-disease-Age-5/mr4u-abm2'}"
"NNDSS - TABLE 1T. Invasive pneumococcal disease, Age<5 years, Confirmed to Legionellosis",wff4-m3q3,wff4-m3q3_1736736027.737129_NNDSS_-_TABLE_1T._Invasive_pneumococcal_disease__Age_5_years__Confirmed_to_Legionellosis_20250113.csv.gz,2025-01-13 02:40:27 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1T-Invasive-pneumococcal-disease-Age-5/wff4-m3q3,"NNDSS - TABLE 1T. Invasive pneumococcal disease, age<5 years, Confirmed to Legionellosis - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
 Max: Maximum — Maximum case count during the previous 52 weeks.
  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). 
§ Includes drug resistant and susceptible cases of Invasive Pneumococcal Disease.",,"{'name': 'NNDSS - TABLE 1T. Invasive pneumococcal disease, Age<5 years, Confirmed to Legionellosis', 'id': 'wff4-m3q3', 'description': ""NNDSS - TABLE 1T. Invasive pneumococcal disease, age<5 years, Confirmed to Legionellosis - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \n§ Includes drug resistant and susceptible cases of Invasive Pneumococcal Disease."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1T-Invasive-pneumococcal-disease-Age-5/wff4-m3q3'}"
"NNDSS - TABLE 1T. Invasive pneumococcal disease, age<5 , Confirmed to Invasive pneumococcal disease, age <5, Probable",62yv-gyiz,62yv-gyiz_1736735906.095647_NNDSS_-_TABLE_1T._Invasive_pneumococcal_disease__age_5___Confirmed_to_Invasive_pneumococcal_disease__age__5__Probable_20250113.csv.gz,2025-01-13 02:38:26 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1T-Invasive-pneumococcal-disease-age-5/62yv-gyiz,"NNDSS - TABLE 1T. Invasive pneumococcal disease, age<5 , Confirmed to Invasive pneumococcal disease, age <5, Probable  - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
 Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). 
§ Includes drug resistant and susceptible cases of Invasive Pneumococcal Disease.","<https://data.cdc.gov/NNDSS/NNDSS-TABLE-1T-Invasive-pneumococcal-disease-age-5/62yv-gyiz>; rel=""original"",
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","{'name': 'NNDSS - TABLE 1T. Invasive pneumococcal disease, age<5 , Confirmed to Invasive pneumococcal disease, age <5, Probable', 'id': '62yv-gyiz', 'description': ""NNDSS - TABLE 1T. Invasive pneumococcal disease, age<5 , Confirmed to Invasive pneumococcal disease, age <5, Probable  - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\n Max: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \r\n§ Includes drug resistant and susceptible cases of Invasive Pneumococcal Disease."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1T-Invasive-pneumococcal-disease-age-5/62yv-gyiz'}"
"NNDSS - TABLE 1T. Invasive pneumococcal disease, age<5 , Confirmed to Invasive pneumococcal disease, age <5, Probable",gui6-i83p,gui6-i83p_1736736911.255151_NNDSS_-_TABLE_1T._Invasive_pneumococcal_disease__age_5___Confirmed_to_Invasive_pneumococcal_disease__age__5__Probable_20250113.csv.gz,2025-01-13 02:55:11 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1T-Invasive-pneumococcal-disease-age-5/gui6-i83p,"NNDSS - TABLE 1T. Invasive pneumococcal disease, age<5 , Confirmed to Invasive pneumococcal disease, age <5, Probable  - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
 Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). 
§ Includes drug resistant and susceptible cases of Invasive Pneumococcal Disease.",,"{'name': 'NNDSS - TABLE 1T. Invasive pneumococcal disease, age<5 , Confirmed to Invasive pneumococcal disease, age <5, Probable', 'id': 'gui6-i83p', 'description': ""NNDSS - TABLE 1T. Invasive pneumococcal disease, age<5 , Confirmed to Invasive pneumococcal disease, age <5, Probable  - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\n Max: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \r\n§ Includes drug resistant and susceptible cases of Invasive Pneumococcal Disease."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1T-Invasive-pneumococcal-disease-age-5/gui6-i83p'}"
NNDSS - TABLE 1U. Legionellosis to Listeriosis,484g-ihkb,484g-ihkb_1736734610.295489_NNDSS_-_TABLE_1U._Legionellosis_to_Listeriosis_20250113.csv.gz,2025-01-13 02:16:50 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1U-Legionellosis-to-Listeriosis/484g-ihkb,"NNDSS - TABLE 1U. Legionellosis to Listeriosis - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).","<https://data.cdc.gov/NNDSS/NNDSS-TABLE-1U-Legionellosis-to-Listeriosis/484g-ihkb>; rel=""original"",
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","{'name': 'NNDSS - TABLE 1U. Legionellosis to Listeriosis', 'id': '484g-ihkb', 'description': ""NNDSS - TABLE 1U. Legionellosis to Listeriosis - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['health', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1U-Legionellosis-to-Listeriosis/484g-ihkb'}"
NNDSS - TABLE 1U. Legionellosis to Listeriosis,ehf4-c7tw,ehf4-c7tw_1736732814.024446_NNDSS_-_TABLE_1U._Legionellosis_to_Listeriosis_20250113.csv.gz,2025-01-13 01:46:54 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1U-Legionellosis-to-Listeriosis/ehf4-c7tw,"NNDSS - TABLE 1U. Legionellosis to Listeriosis - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1U. Legionellosis to Listeriosis', 'id': 'ehf4-c7tw', 'description': ""NNDSS - TABLE 1U. Legionellosis to Listeriosis - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1U-Legionellosis-to-Listeriosis/ehf4-c7tw'}"
"NNDSS - TABLE 1U. Leptospirosis to Listeriosis, Probable",7gnu-j6js,7gnu-j6js_1736731539.943705_NNDSS_-_TABLE_1U._Leptospirosis_to_Listeriosis__Probable_20250113.csv.gz,2025-01-13 01:25:39 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1U-Leptospirosis-to-Listeriosis-Probab/7gnu-j6js,"NNDSS - TABLE 1U. Leptospirosis to Listeriosis, Probable - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
 Max: Maximum — Maximum case count during the previous 52 weeks.
  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). 
§ Beginning in 2020, confirmed and probable cases are published separately. Prior years included confirmed cases only.",,"{'name': 'NNDSS - TABLE 1U. Leptospirosis to Listeriosis, Probable', 'id': '7gnu-j6js', 'description': ""NNDSS - TABLE 1U. Leptospirosis to Listeriosis, Probable - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \n§ Beginning in 2020, confirmed and probable cases are published separately. Prior years included confirmed cases only."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1U-Leptospirosis-to-Listeriosis-Probab/7gnu-j6js'}"
"NNDSS - TABLE 1U. Leptospirosis to Listeriosis, Probable",aspp-bzzu,aspp-bzzu_1736735030.583435_NNDSS_-_TABLE_1U._Leptospirosis_to_Listeriosis__Probable_20250113.csv.gz,2025-01-13 02:23:50 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1U-Leptospirosis-to-Listeriosis-Probab/aspp-bzzu,"NNDSS - TABLE 1U. Leptospirosis to Listeriosis, Probable - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notes:

•	These are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.
•	The list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.

Footnotes:

*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.",,"{'name': 'NNDSS - TABLE 1U. Leptospirosis to Listeriosis, Probable', 'id': 'aspp-bzzu', 'description': ""NNDSS - TABLE 1U. Leptospirosis to Listeriosis, Probable - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1U-Leptospirosis-to-Listeriosis-Probab/aspp-bzzu'}"
"NNDSS - TABLE 1U. Leptospirosis to Listeriosis, Probable",dwmy-m9r6,dwmy-m9r6_1736733548.749717_NNDSS_-_TABLE_1U._Leptospirosis_to_Listeriosis__Probable_20250113.csv.gz,2025-01-13 01:59:08 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1U-Leptospirosis-to-Listeriosis-Probab/dwmy-m9r6,"NNDSS - TABLE 1U. Leptospirosis to Listeriosis, Probable - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Data from California published in week 29 for years 2019 and 2020 were incomplete when originally published on July 24, 2020. On August 4, 2020, incomplete case counts were replaced with a ""U"" indicating case counts are not available for specified time period. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). 
§ Before 2019, listeriosis cases in neonates less than or equal to 60 days of age were counted as one case in a mother-infant pair. Beginning in 2019, maternal and neonatal listeriosis cases are being counted separately. Beginning in 2020, confirmed and probable cases are published separately. Prior years included confirmed cases only.",,"{'name': 'NNDSS - TABLE 1U. Leptospirosis to Listeriosis, Probable', 'id': 'dwmy-m9r6', 'description': 'NNDSS - TABLE 1U. Leptospirosis to Listeriosis, Probable - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Data from California published in week 29 for years 2019 and 2020 were incomplete when originally published on July 24, 2020. On August 4, 2020, incomplete case counts were replaced with a ""U"" indicating case counts are not available for specified time period. \n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case\'s country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the \'Non-U.S. Residents\' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \n§ Before 2019, listeriosis cases in neonates less than or equal to 60 days of age were counted as one case in a mother-infant pair. Beginning in 2019, maternal and neonatal listeriosis cases are being counted separately. Beginning in 2020, confirmed and probable cases are published separately. Prior years included confirmed cases only.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1U-Leptospirosis-to-Listeriosis-Probab/dwmy-m9r6'}"
"NNDSS - TABLE 1V. Malaria to Measles, Imported",hjax-h34q,hjax-h34q_1736721705.675422_NNDSS_-_TABLE_1V._Malaria_to_Measles__Imported_20250112.csv.gz,2025-01-12 22:41:45 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1V-Malaria-to-Measles-Imported/hjax-h34q,"NNDSS - TABLE 1V. Malaria to Measles, Imported - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1V. Malaria to Measles, Imported', 'id': 'hjax-h34q', 'description': ""NNDSS - TABLE 1V. Malaria to Measles, Imported - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1V-Malaria-to-Measles-Imported/hjax-h34q'}"
"NNDSS - TABLE 1V. Malaria to Measles, Imported",jf8m-mtc3,jf8m-mtc3_1736723816.292260_NNDSS_-_TABLE_1V._Malaria_to_Measles__Imported_20250112.csv.gz,2025-01-12 23:16:56 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1V-Malaria-to-Measles-Imported/jf8m-mtc3,"NNDSS - TABLE 1V. Malaria to Measles, Imported - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Notice:  The total numbers of measles cases in Table 1v for weeks 1-51 in the 2019 data are correct but counts for imported and indigenous categories are incorrect. Measles data for week 52 (in Table 1v) were updated on 02-28-2020 to correct the classification of imported and indigenous. Please see week 52, 2019 data for the correct breakout of imported and indigenous measles cases.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).

§ Measles is considered imported if the disease was acquired outside of the United States and is considered indigenous if the disease was acquired anywhere within the United States or it is not known where the disease was acquired.",,"{'name': 'NNDSS - TABLE 1V. Malaria to Measles, Imported', 'id': 'jf8m-mtc3', 'description': ""NNDSS - TABLE 1V. Malaria to Measles, Imported - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \n\nNotice:  The total numbers of measles cases in Table 1v for weeks 1-51 in the 2019 data are correct but counts for imported and indigenous categories are incorrect. Measles data for week 52 (in Table 1v) were updated on 02-28-2020 to correct the classification of imported and indigenous. Please see week 52, 2019 data for the correct breakout of imported and indigenous measles cases.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\n\n§ Measles is considered imported if the disease was acquired outside of the United States and is considered indigenous if the disease was acquired anywhere within the United States or it is not known where the disease was acquired."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1V-Malaria-to-Measles-Imported/jf8m-mtc3'}"
"NNDSS - TABLE 1V. Malaria to Measles, Indigenous",7xhe-mv2e,7xhe-mv2e_1736728123.456143_NNDSS_-_TABLE_1V._Malaria_to_Measles__Indigenous_20250113.csv.gz,2025-01-13 00:28:43 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1V-Malaria-to-Measles-Indigenous/7xhe-mv2e,"NNDSS - TABLE 1V. Malaria to Measles, Indigenous - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Data from California published in week 29 for years 2019 and 2020 were incomplete when originally published on July 24, 2020. On August 4, 2020, incomplete case counts were replaced with a ""U"" indicating case counts are not available for specified time period. 

Notice:  Measles data for weeks 1-4 (in Table 1v) were updated on 02-28-2020 to correct the classification of imported and indigenous. For all weeks, measles is considered imported if the disease was acquired outside of the United States and is considered indigenous if the disease was acquired anywhere within the United States or it is not known where the disease was acquired.

Note:
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
§ Measles is considered imported if the disease was acquired outside of the United States and is considered indigenous if the disease was acquired anywhere within the United States or it is not known where the disease was acquired.","<https://data.cdc.gov/NNDSS/NNDSS-TABLE-1V-Malaria-to-Measles-Indigenous/7xhe-mv2e>; rel=""original"",
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<http://web.archive.org/web/20220705151621/https://data.cdc.gov/NNDSS/NNDSS-TABLE-1V-Malaria-to-Measles-Indigenous/7xhe-mv2e>; rel=""memento""; datetime=""Tue, 05 Jul 2022 15:16:21 GMT"",
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","{'name': 'NNDSS - TABLE 1V. Malaria to Measles, Indigenous', 'id': '7xhe-mv2e', 'description': 'NNDSS - TABLE 1V. Malaria to Measles, Indigenous - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Data from California published in week 29 for years 2019 and 2020 were incomplete when originally published on July 24, 2020. On August 4, 2020, incomplete case counts were replaced with a ""U"" indicating case counts are not available for specified time period. \n\nNotice:  Measles data for weeks 1-4 (in Table 1v) were updated on 02-28-2020 to correct the classification of imported and indigenous. For all weeks, measles is considered imported if the disease was acquired outside of the United States and is considered indigenous if the disease was acquired anywhere within the United States or it is not known where the disease was acquired.\n\nNote:\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.\n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case\'s country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the \'Non-U.S. Residents\' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\n§ Measles is considered imported if the disease was acquired outside of the United States and is considered indigenous if the disease was acquired anywhere within the United States or it is not known where the disease was acquired.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1V-Malaria-to-Measles-Indigenous/7xhe-mv2e'}"
"NNDSS - TABLE 1V. Malaria to Measles, Indigenous",9k8a-cbgx,9k8a-cbgx_1736731526.484235_NNDSS_-_TABLE_1V._Malaria_to_Measles__Indigenous_20250113.csv.gz,2025-01-13 01:25:26 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1V-Malaria-to-Measles-Indigenous/9k8a-cbgx,"NNDSS - TABLE 1V. Malaria to Measles, Indigenous - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.

Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.

Note:
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
 Max: Maximum — Maximum case count during the previous 52 weeks.
  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). 
§ Measles is considered imported if the disease was acquired outside of the United States and is considered indigenous if the disease was acquired anywhere within the United States or it is not known where the disease was acquired.",,"{'name': 'NNDSS - TABLE 1V. Malaria to Measles, Indigenous', 'id': '9k8a-cbgx', 'description': ""NNDSS - TABLE 1V. Malaria to Measles, Indigenous - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote:\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.\n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \n§ Measles is considered imported if the disease was acquired outside of the United States and is considered indigenous if the disease was acquired anywhere within the United States or it is not known where the disease was acquired."", 'datatype': 'tabular', 'keywords': ['demographics', 'health', 'public safety', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1V-Malaria-to-Measles-Indigenous/9k8a-cbgx'}"
"NNDSS - TABLE 1V. Malaria to Measles, Indigenous",kpbd-vsd5,kpbd-vsd5_1736733089.845710_NNDSS_-_TABLE_1V._Malaria_to_Measles__Indigenous_20250113.csv.gz,2025-01-13 01:51:29 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1V-Malaria-to-Measles-Indigenous/kpbd-vsd5,"NNDSS - TABLE 1V. Malaria to Measles, Indigenous - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notes:

•	These are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.
•	The list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.

Footnotes:

*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.",,"{'name': 'NNDSS - TABLE 1V. Malaria to Measles, Indigenous', 'id': 'kpbd-vsd5', 'description': ""NNDSS - TABLE 1V. Malaria to Measles, Indigenous - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1V-Malaria-to-Measles-Indigenous/kpbd-vsd5'}"
"NNDSS - TABLE 1W. Meningococcal disease, All serogroups to Meningococcal disease, Serogroup B",4jje-6vv6,4jje-6vv6_1736735559.462136_NNDSS_-_TABLE_1W._Meningococcal_disease__All_serogroups_to_Meningococcal_disease__Serogroup_B_20250113.csv.gz,2025-01-13 02:32:39 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1W-Meningococcal-disease-All-serogroup/4jje-6vv6,"NNDSS - TABLE 1W. Meningococcal disease, All serogroups to Meningococcal disease, Serogroup B - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1W. Meningococcal disease, All serogroups to Meningococcal disease, Serogroup B', 'id': '4jje-6vv6', 'description': ""NNDSS - TABLE 1W. Meningococcal disease, All serogroups to Meningococcal disease, Serogroup B - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1W-Meningococcal-disease-All-serogroup/4jje-6vv6'}"
"NNDSS - TABLE 1W. Meningococcal disease, All serogroups to Meningococcal disease, Serogroup B",bkwy-pyv3,bkwy-pyv3_1736736415.718961_NNDSS_-_TABLE_1W._Meningococcal_disease__All_serogroups_to_Meningococcal_disease__Serogroup_B_20250113.csv.gz,2025-01-13 02:46:55 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1W-Meningococcal-disease-All-serogroup/bkwy-pyv3,"NNDSS - TABLE 1W.  Meningococcal disease,  All serogroups to Meningococcal disease, Serogroup B - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1W. Meningococcal disease, All serogroups to Meningococcal disease, Serogroup B', 'id': 'bkwy-pyv3', 'description': ""NNDSS - TABLE 1W.  Meningococcal disease,  All serogroups to Meningococcal disease, Serogroup B - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1W-Meningococcal-disease-All-serogroup/bkwy-pyv3'}"
"NNDSS - TABLE 1W. Meningococcal disease, All serogroups to Meningococcal disease, Serogroup B",hbbg-vj7f,hbbg-vj7f_1736735946.586700_NNDSS_-_TABLE_1W._Meningococcal_disease__All_serogroups_to_Meningococcal_disease__Serogroup_B_20250113.csv.gz,2025-01-13 02:39:06 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1W-Meningococcal-disease-All-serogroup/hbbg-vj7f,"NNDSS - TABLE 1W. Meningococcal disease, All serogroups to Meningococcal disease, Serogroup B - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
 Max: Maximum — Maximum case count during the previous 52 weeks.
  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1W. Meningococcal disease, All serogroups to Meningococcal disease, Serogroup B', 'id': 'hbbg-vj7f', 'description': ""NNDSS - TABLE 1W. Meningococcal disease, All serogroups to Meningococcal disease, Serogroup B - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1W-Meningococcal-disease-All-serogroup/hbbg-vj7f'}"
"NNDSS - TABLE 1W. Meningococcal disease, All serogroups to Meningococcal disease, Serogroup B",puin-6ss7,puin-6ss7_1736735641.000306_NNDSS_-_TABLE_1W._Meningococcal_disease__All_serogroups_to_Meningococcal_disease__Serogroup_B_20250113.csv.gz,2025-01-13 02:34:01 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1W-Meningococcal-disease-All-serogroup/puin-6ss7,"NNDSS - TABLE 1W.  Meningococcal disease,  All serogroups to Meningococcal disease, Serogroup B - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1W. Meningococcal disease, All serogroups to Meningococcal disease, Serogroup B', 'id': 'puin-6ss7', 'description': ""NNDSS - TABLE 1W.  Meningococcal disease,  All serogroups to Meningococcal disease, Serogroup B - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1W-Meningococcal-disease-All-serogroup/puin-6ss7'}"
"NNDSS - TABLE 1W. Meningococcal disease, All serogroups to Meningococcal disease, Serogroup B",vmgc-uspy,vmgc-uspy_1736722652.281048_NNDSS_-_TABLE_1W._Meningococcal_disease__All_serogroups_to_Meningococcal_disease__Serogroup_B_20250112.csv.gz,2025-01-12 22:57:32 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1W-Meningococcal-disease-All-serogroup/vmgc-uspy,"NNDSS - TABLE 1W. Meningococcal disease, All serogroups to Meningococcal disease, Serogroup B - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notes:

•	These are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.
•	The list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.

Footnotes:

*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.",,"{'name': 'NNDSS - TABLE 1W. Meningococcal disease, All serogroups to Meningococcal disease, Serogroup B', 'id': 'vmgc-uspy', 'description': ""NNDSS - TABLE 1W. Meningococcal disease, All serogroups to Meningococcal disease, Serogroup B - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1W-Meningococcal-disease-All-serogroup/vmgc-uspy'}"
"NNDSS - TABLE 1X. Meningococcal disease,  Other serogroups to Meningococcal disease, Unknown serogroup",aagc-37gx,aagc-37gx_1736736838.051020_NNDSS_-_TABLE_1X._Meningococcal_disease___Other_serogroups_to_Meningococcal_disease__Unknown_serogroup_20250113.csv.gz,2025-01-13 02:53:58 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1X-Meningococcal-disease-Other-serogro/aagc-37gx,"NNDSS - TABLE 1X. Meningococcal disease,  Other serogroups to Meningococcal disease, Unknown serogroup - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1X. Meningococcal disease,  Other serogroups to Meningococcal disease, Unknown serogroup', 'id': 'aagc-37gx', 'description': ""NNDSS - TABLE 1X. Meningococcal disease,  Other serogroups to Meningococcal disease, Unknown serogroup - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1X-Meningococcal-disease-Other-serogro/aagc-37gx'}"
"NNDSS - TABLE 1X. Meningococcal disease,  Other serogroups to Meningococcal disease, Unknown serogroup",d7xj-2da2,d7xj-2da2_1736737081.955339_NNDSS_-_TABLE_1X._Meningococcal_disease___Other_serogroups_to_Meningococcal_disease__Unknown_serogroup_20250113.csv.gz,2025-01-13 02:58:01 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1X-Meningococcal-disease-Other-serogro/d7xj-2da2,"NNDSS - TABLE 1X. Meningococcal disease,  Other serogroups to Meningococcal disease, Unknown serogroup - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1X. Meningococcal disease,  Other serogroups to Meningococcal disease, Unknown serogroup', 'id': 'd7xj-2da2', 'description': ""NNDSS - TABLE 1X. Meningococcal disease,  Other serogroups to Meningococcal disease, Unknown serogroup - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1X-Meningococcal-disease-Other-serogro/d7xj-2da2'}"
"NNDSS - TABLE 1X. Meningococcal disease, Other serogroups to Meningococcal disease, Unknown serogroup",jr4g-zdpg,jr4g-zdpg_1736736095.257815_NNDSS_-_TABLE_1X._Meningococcal_disease__Other_serogroups_to_Meningococcal_disease__Unknown_serogroup_20250113.csv.gz,2025-01-13 02:41:35 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1X-Meningococcal-disease-Other-serogro/jr4g-zdpg,"NNDSS - TABLE 1X. Meningococcal disease, Other serogroups to Meningococcal disease, Unknown serogroup - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
 Max: Maximum — Maximum case count during the previous 52 weeks.
  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1X. Meningococcal disease, Other serogroups to Meningococcal disease, Unknown serogroup', 'id': 'jr4g-zdpg', 'description': ""NNDSS - TABLE 1X. Meningococcal disease, Other serogroups to Meningococcal disease, Unknown serogroup - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1X-Meningococcal-disease-Other-serogro/jr4g-zdpg'}"
"NNDSS - TABLE 1X. Meningococcal disease, Other serogroups to Meningococcal disease, Unknown serogroup",m8jv-u92i,m8jv-u92i_1736736983.621404_NNDSS_-_TABLE_1X._Meningococcal_disease__Other_serogroups_to_Meningococcal_disease__Unknown_serogroup_20250113.csv.gz,2025-01-13 02:56:23 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1X-Meningococcal-disease-Other-serogro/m8jv-u92i,"NNDSS - TABLE 1X. Meningococcal disease, Other serogroups to Meningococcal disease, Unknown serogroup - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Data from California published in week 29 for years 2019 and 2020 were incomplete when originally published on July 24, 2020. On August 4, 2020, incomplete case counts were replaced with a ""U"" indicating case counts are not available for specified time period. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1X. Meningococcal disease, Other serogroups to Meningococcal disease, Unknown serogroup', 'id': 'm8jv-u92i', 'description': 'NNDSS - TABLE 1X. Meningococcal disease, Other serogroups to Meningococcal disease, Unknown serogroup - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Data from California published in week 29 for years 2019 and 2020 were incomplete when originally published on July 24, 2020. On August 4, 2020, incomplete case counts were replaced with a ""U"" indicating case counts are not available for specified time period. \n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case\'s country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the \'Non-U.S. Residents\' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1X-Meningococcal-disease-Other-serogro/m8jv-u92i'}"
"NNDSS - TABLE 1X. Meningococcal disease, Other serogroups to Meningococcal disease, Unknown serogroup",wrrd-u9wx,wrrd-u9wx_1736737862.795160_NNDSS_-_TABLE_1X._Meningococcal_disease__Other_serogroups_to_Meningococcal_disease__Unknown_serogroup_20250113.csv.gz,2025-01-13 03:11:02 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1X-Meningococcal-disease-Other-serogro/wrrd-u9wx,"NNDSS - TABLE 1X. Meningococcal disease, Other serogroups to Meningococcal disease, Unknown serogroup - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notes:

•	These are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.
•	The list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.

Footnotes:

*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.","<https://data.cdc.gov/NNDSS/NNDSS-TABLE-1X-Meningococcal-disease-Other-serogro/wrrd-u9wx>; rel=""original"",
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","{'name': 'NNDSS - TABLE 1X. Meningococcal disease, Other serogroups to Meningococcal disease, Unknown serogroup', 'id': 'wrrd-u9wx', 'description': ""NNDSS - TABLE 1X. Meningococcal disease, Other serogroups to Meningococcal disease, Unknown serogroup - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1X-Meningococcal-disease-Other-serogro/wrrd-u9wx'}"
NNDSS - TABLE 1Y. Mumps to Novel influenza A virus infections,cjin-8pa3,cjin-8pa3_1736732502.679636_NNDSS_-_TABLE_1Y._Mumps_to_Novel_influenza_A_virus_infections_20250113.csv.gz,2025-01-13 01:41:42 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1Y-Mumps-to-Novel-influenza-A-virus-in/cjin-8pa3,"NNDSS - TABLE 1Y. Mumps to Novel influenza A virus infections - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). 
§ Novel influenza A virus infections are human infections with influenza A viruses that are different from currently circulating human seasonal influenza viruses. With the exception of one avian lineage influenza A (H7N2) virus, all novel influenza A virus infections reported to CDC since 2012 have been variant influenza viruses.",,"{'name': 'NNDSS - TABLE 1Y. Mumps to Novel influenza A virus infections', 'id': 'cjin-8pa3', 'description': ""NNDSS - TABLE 1Y. Mumps to Novel influenza A virus infections - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \r\n§ Novel influenza A virus infections are human infections with influenza A viruses that are different from currently circulating human seasonal influenza viruses. With the exception of one avian lineage influenza A (H7N2) virus, all novel influenza A virus infections reported to CDC since 2012 have been variant influenza viruses."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1Y-Mumps-to-Novel-influenza-A-virus-in/cjin-8pa3'}"
NNDSS - TABLE 1Y. Mumps to Novel influenza A virus infections,espg-acwi,espg-acwi_1736731248.821665_NNDSS_-_TABLE_1Y._Mumps_to_Novel_influenza_A_virus_infections_20250113.csv.gz,2025-01-13 01:20:48 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1Y-Mumps-to-Novel-influenza-A-virus-in/espg-acwi,"NNDSS - TABLE 1Y. Mumps to Novel influenza A virus infections - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Data from California published in week 29 for years 2019 and 2020 were incomplete when originally published on July 24, 2020. On August 4, 2020, incomplete case counts were replaced with a ""U"" indicating case counts are not available for specified time period. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). 
§ Novel influenza A virus infections are human infections with influenza A viruses that are different from currently circulating human seasonal influenza viruses. With the exception of one avian lineage influenza A (H7N2) virus, all novel influenza A virus infections reported to CDC since 2012 have been variant influenza viruses.",,"{'name': 'NNDSS - TABLE 1Y. Mumps to Novel influenza A virus infections', 'id': 'espg-acwi', 'description': 'NNDSS - TABLE 1Y. Mumps to Novel influenza A virus infections - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Data from California published in week 29 for years 2019 and 2020 were incomplete when originally published on July 24, 2020. On August 4, 2020, incomplete case counts were replaced with a ""U"" indicating case counts are not available for specified time period. \n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case\'s country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the \'Non-U.S. Residents\' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \n§ Novel influenza A virus infections are human infections with influenza A viruses that are different from currently circulating human seasonal influenza viruses. With the exception of one avian lineage influenza A (H7N2) virus, all novel influenza A virus infections reported to CDC since 2012 have been variant influenza viruses.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1Y-Mumps-to-Novel-influenza-A-virus-in/espg-acwi'}"
NNDSS - TABLE 1Y. Mumps to Novel influenza A virus infections,kxvg-q6s7,kxvg-q6s7_1736737906.312245_NNDSS_-_TABLE_1Y._Mumps_to_Novel_influenza_A_virus_infections_20250113.csv.gz,2025-01-13 03:11:46 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1Y-Mumps-to-Novel-influenza-A-virus-in/kxvg-q6s7,"NNDSS - TABLE 1Y. Mumps to Novel influenza A virus infections - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notes:

•	These are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.
•	The list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.

Footnotes:

*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.","<https://data.cdc.gov/NNDSS/NNDSS-TABLE-1Y-Mumps-to-Novel-influenza-A-virus-in/kxvg-q6s7>; rel=""original"",
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","{'name': 'NNDSS - TABLE 1Y. Mumps to Novel influenza A virus infections', 'id': 'kxvg-q6s7', 'description': ""NNDSS - TABLE 1Y. Mumps to Novel influenza A virus infections - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1Y-Mumps-to-Novel-influenza-A-virus-in/kxvg-q6s7'}"
NNDSS - TABLE 1Y. Mumps to Novel influenza A virus infections,q2dj-esu7,q2dj-esu7_1736734895.152130_NNDSS_-_TABLE_1Y._Mumps_to_Novel_influenza_A_virus_infections_20250113.csv.gz,2025-01-13 02:21:35 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1Y-Mumps-to-Novel-influenza-A-virus-in/q2dj-esu7,"NNDSS - TABLE 1Y. Mumps to Novel influenza A virus infections - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
 Max: Maximum — Maximum case count during the previous 52 weeks.
  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). 
§ Novel influenza A virus infections are human infections with influenza A viruses that are different from currently circulating human seasonal influenza viruses. With the exception of one avian lineage influenza A (H7N2) virus, all novel influenza A virus infections reported to CDC since 2012 have been variant influenza viruses.",,"{'name': 'NNDSS - TABLE 1Y. Mumps to Novel influenza A virus infections', 'id': 'q2dj-esu7', 'description': ""NNDSS - TABLE 1Y. Mumps to Novel influenza A virus infections - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \n§ Novel influenza A virus infections are human infections with influenza A viruses that are different from currently circulating human seasonal influenza viruses. With the exception of one avian lineage influenza A (H7N2) virus, all novel influenza A virus infections reported to CDC since 2012 have been variant influenza viruses."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1Y-Mumps-to-Novel-influenza-A-virus-in/q2dj-esu7'}"
NNDSS - TABLE 1Y. Mumps to Novel influenza A virus infections,yvsw-8ht9,yvsw-8ht9_1736731691.203282_NNDSS_-_TABLE_1Y._Mumps_to_Novel_influenza_A_virus_infections_20250113.csv.gz,2025-01-13 01:28:11 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1Y-Mumps-to-Novel-influenza-A-virus-in/yvsw-8ht9,"NNDSS - TABLE 1Y. Mumps to Novel influenza A virus infections - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). 
§ Novel influenza A virus infections are human infections with influenza A viruses that are different from currently circulating human seasonal influenza viruses. With the exception of one avian lineage influenza A (H7N2) virus, all novel influenza A virus infections reported to CDC since 2012 have been variant influenza viruses.",,"{'name': 'NNDSS - TABLE 1Y. Mumps to Novel influenza A virus infections', 'id': 'yvsw-8ht9', 'description': ""NNDSS - TABLE 1Y. Mumps to Novel influenza A virus infections - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \r\n§ Novel influenza A virus infections are human infections with influenza A viruses that are different from currently circulating human seasonal influenza viruses. With the exception of one avian lineage influenza A (H7N2) virus, all novel influenza A virus infections reported to CDC since 2012 have been variant influenza viruses."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1Y-Mumps-to-Novel-influenza-A-virus-in/yvsw-8ht9'}"
"NNDSS - TABLE 1Z. Pertussis to Poliomyelitis, paralytic",247v-f7n9,247v-f7n9_1736730955.318798_NNDSS_-_TABLE_1Z._Pertussis_to_Poliomyelitis__paralytic_20250113.csv.gz,2025-01-13 01:15:55 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1Z-Pertussis-to-Poliomyelitis-paralyti/247v-f7n9,"NNDSS - TABLE 1Z. Pertussis to Poliomyelitis, paralytic - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Data from California published in week 29 for years 2019 and 2020 were incomplete when originally published on July 24, 2020. On August 4, 2020, incomplete case counts were replaced with a ""U"" indicating case counts are not available for specified time period. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). 
§ The pertussis case definition was modified by CSTE effective January 1, 2020. Criteria were modified increasing sensitivity for case ascertainment such that case counts may increase.","<https://data.cdc.gov/NNDSS/NNDSS-TABLE-1Z-Pertussis-to-Poliomyelitis-paralyti/247v-f7n9>; rel=""original"",
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","{'name': 'NNDSS - TABLE 1Z. Pertussis to Poliomyelitis, paralytic', 'id': '247v-f7n9', 'description': 'NNDSS - TABLE 1Z. Pertussis to Poliomyelitis, paralytic - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Data from California published in week 29 for years 2019 and 2020 were incomplete when originally published on July 24, 2020. On August 4, 2020, incomplete case counts were replaced with a ""U"" indicating case counts are not available for specified time period. \n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case\'s country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the \'Non-U.S. Residents\' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \n§ The pertussis case definition was modified by CSTE effective January 1, 2020. Criteria were modified increasing sensitivity for case ascertainment such that case counts may increase.', 'datatype': 'tabular', 'keywords': ['health', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1Z-Pertussis-to-Poliomyelitis-paralyti/247v-f7n9'}"
"NNDSS - TABLE 1Z. Pertussis to Poliomyelitis, paralytic",bve7-bjy2,bve7-bjy2_1736733579.032317_NNDSS_-_TABLE_1Z._Pertussis_to_Poliomyelitis__paralytic_20250113.csv.gz,2025-01-13 01:59:39 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1Z-Pertussis-to-Poliomyelitis-paralyti/bve7-bjy2,"NNDSS - TABLE 1Z. Pertussis to Poliomyelitis, paralytic - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1Z. Pertussis to Poliomyelitis, paralytic', 'id': 'bve7-bjy2', 'description': ""NNDSS - TABLE 1Z. Pertussis to Poliomyelitis, paralytic - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1Z-Pertussis-to-Poliomyelitis-paralyti/bve7-bjy2'}"
"NNDSS - TABLE 1Z. Pertussis to Poliomyelitis, paralytic",cqcc-kwwr,cqcc-kwwr_1736734149.934056_NNDSS_-_TABLE_1Z._Pertussis_to_Poliomyelitis__paralytic_20250113.csv.gz,2025-01-13 02:09:09 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1Z-Pertussis-to-Poliomyelitis-paralyti/cqcc-kwwr,"NNDSS - TABLE 1Z. Pertussis to Poliomyelitis, paralytic - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1Z. Pertussis to Poliomyelitis, paralytic', 'id': 'cqcc-kwwr', 'description': ""NNDSS - TABLE 1Z. Pertussis to Poliomyelitis, paralytic - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1Z-Pertussis-to-Poliomyelitis-paralyti/cqcc-kwwr'}"
"NNDSS - TABLE 1Z. Pertussis to Poliomyelitis, paralytic",kebt-3t25,kebt-3t25_1736732694.975735_NNDSS_-_TABLE_1Z._Pertussis_to_Poliomyelitis__paralytic_20250113.csv.gz,2025-01-13 01:44:54 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1Z-Pertussis-to-Poliomyelitis-paralyti/kebt-3t25,"NNDSS - TABLE 1Z. Pertussis to Poliomyelitis, paralytic - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
 Max: Maximum — Maximum case count during the previous 52 weeks.
  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - TABLE 1Z. Pertussis to Poliomyelitis, paralytic', 'id': 'kebt-3t25', 'description': ""NNDSS - TABLE 1Z. Pertussis to Poliomyelitis, paralytic - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1Z-Pertussis-to-Poliomyelitis-paralyti/kebt-3t25'}"
"NNDSS - TABLE 1Z. Pertussis to Poliomyelitis, paralytic",u2nj-bus9,u2nj-bus9_1736736927.381394_NNDSS_-_TABLE_1Z._Pertussis_to_Poliomyelitis__paralytic_20250113.csv.gz,2025-01-13 02:55:27 UTC,https://data.cdc.gov/NNDSS/NNDSS-TABLE-1Z-Pertussis-to-Poliomyelitis-paralyti/u2nj-bus9,"NNDSS - TABLE 1Z. Pertussis to Poliomyelitis, paralytic - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notes:

•	These are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.
•	The list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.

Footnotes:

*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.",,"{'name': 'NNDSS - TABLE 1Z. Pertussis to Poliomyelitis, paralytic', 'id': 'u2nj-bus9', 'description': ""NNDSS - TABLE 1Z. Pertussis to Poliomyelitis, paralytic - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-TABLE-1Z-Pertussis-to-Poliomyelitis-paralyti/u2nj-bus9'}"
"NNDSS - Table 1B. Arboviral diseases, Jamestown Canyon to Powassan",eez9-q5m5,eez9-q5m5_1736733978.146364_NNDSS_-_Table_1B._Arboviral_diseases__Jamestown_Canyon_to_Powassan_20250113.csv.gz,2025-01-13 02:06:18 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-1B-Arboviral-diseases-Jamestown-Canyon/eez9-q5m5,"NNDSS - Table 1B. Arboviral diseases, neuroinvasive and non-neuroinvasive, Jamestown Canyon virus disease to Powassan virus disease - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).","<https://data.cdc.gov/NNDSS/NNDSS-Table-1B-Arboviral-diseases-Jamestown-Canyon/eez9-q5m5>; rel=""original"",
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","{'name': 'NNDSS - Table 1B. Arboviral diseases, Jamestown Canyon to Powassan', 'id': 'eez9-q5m5', 'description': ""NNDSS - Table 1B. Arboviral diseases, neuroinvasive and non-neuroinvasive, Jamestown Canyon virus disease to Powassan virus disease - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-1B-Arboviral-diseases-Jamestown-Canyon/eez9-q5m5'}"
"NNDSS - Table 1B. Arboviral diseases, Jamestown Canyon virus disease to Powassan virus disease",pjtk-n43k,pjtk-n43k_1736735668.234886_NNDSS_-_Table_1B._Arboviral_diseases__Jamestown_Canyon_virus_disease_to_Powassan_virus_disease_20250113.csv.gz,2025-01-13 02:34:28 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-1B-Arboviral-diseases-Jamestown-Canyon/pjtk-n43k,"NNDSS - TABLE 1B. Arboviral diseases, Jamestown Canyon virus disease to Powassan virus disease  – 2020.  In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - Table 1B. Arboviral diseases, Jamestown Canyon virus disease to Powassan virus disease', 'id': 'pjtk-n43k', 'description': ""NNDSS - TABLE 1B. Arboviral diseases, Jamestown Canyon virus disease to Powassan virus disease  – 2020.  In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-1B-Arboviral-diseases-Jamestown-Canyon/pjtk-n43k'}"
"NNDSS - Table 1B. Arboviral diseases, Jamestown Canyon virus disease to Powassan virus disease",vqyf-z2g3,vqyf-z2g3_1736738322.755164_NNDSS_-_Table_1B._Arboviral_diseases__Jamestown_Canyon_virus_disease_to_Powassan_virus_disease_20250113.csv.gz,2025-01-13 03:18:42 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-1B-Arboviral-diseases-Jamestown-Canyon/vqyf-z2g3,"NNDSS - TABLE 1B. Arboviral diseases, Jamestown Canyon virus disease to Powassan virus disease – 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non U.S. residents.

Notes:
•	These are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.
•	The list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.
Footnotes:
*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.",,"{'name': 'NNDSS - Table 1B. Arboviral diseases, Jamestown Canyon virus disease to Powassan virus disease', 'id': 'vqyf-z2g3', 'description': ""NNDSS - TABLE 1B. Arboviral diseases, Jamestown Canyon virus disease to Powassan virus disease – 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non U.S. residents.\n\nNotes:\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\nFootnotes:\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-1B-Arboviral-diseases-Jamestown-Canyon/vqyf-z2g3'}"
"NNDSS - Table 1B. Arboviral diseases, Jamestown Canyon virus disease to Powassan virus disease",w46e-8kr3,w46e-8kr3_1736736442.684879_NNDSS_-_Table_1B._Arboviral_diseases__Jamestown_Canyon_virus_disease_to_Powassan_virus_disease_20250113.csv.gz,2025-01-13 02:47:22 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-1B-Arboviral-diseases-Jamestown-Canyon/w46e-8kr3,"NNDSS - TABLE 1B. Arboviral diseases, Jamestown Canyon virus disease to Powassan virus disease – 2021.  In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non U.S. residents.

Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
 Max: Maximum — Maximum case count during the previous 52 weeks.
  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - Table 1B. Arboviral diseases, Jamestown Canyon virus disease to Powassan virus disease', 'id': 'w46e-8kr3', 'description': ""NNDSS - TABLE 1B. Arboviral diseases, Jamestown Canyon virus disease to Powassan virus disease – 2021.  In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-1B-Arboviral-diseases-Jamestown-Canyon/w46e-8kr3'}"
"NNDSS - Table 1B. Arboviral diseases, neuroinvasive and non-neuroinvasive, Jamestown Canyon virus disease to Powassan virus disease",9gny-cbhc,9gny-cbhc_1736736081.821039_NNDSS_-_Table_1B._Arboviral_diseases__neuroinvasive_and_non-neuroinvasive__Jamestown_Canyon_virus_disease_to_Powassan_virus_disease_20250113.csv.gz,2025-01-13 02:41:21 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-1B-Arboviral-diseases-neuroinvasive-an/9gny-cbhc,"NNDSS - Table 1B. Arboviral diseases, neuroinvasive and non-neuroinvasive, Jamestown Canyon virus disease to Powassan virus disease - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - Table 1B. Arboviral diseases, neuroinvasive and non-neuroinvasive, Jamestown Canyon virus disease to Powassan virus disease', 'id': '9gny-cbhc', 'description': ""NNDSS - Table 1B. Arboviral diseases, neuroinvasive and non-neuroinvasive, Jamestown Canyon virus disease to Powassan virus disease - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-1B-Arboviral-diseases-neuroinvasive-an/9gny-cbhc'}"
"NNDSS - Table 1C. Arboviral diseases, St. Louis encephalitis virus disease to West Nile virus disease",4ynm-6jgm,4ynm-6jgm_1736734624.329843_NNDSS_-_Table_1C._Arboviral_diseases__St._Louis_encephalitis_virus_disease_to_West_Nile_virus_disease_20250113.csv.gz,2025-01-13 02:17:04 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-1C-Arboviral-diseases-St-Louis-encepha/4ynm-6jgm,"NNDSS - Table 1C. Arboviral diseases, St. Louis encephalitis virus disease to West Nile   virus disease - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - Table 1C. Arboviral diseases, St. Louis encephalitis virus disease to West Nile virus disease', 'id': '4ynm-6jgm', 'description': ""NNDSS - Table 1C. Arboviral diseases, St. Louis encephalitis virus disease to West Nile   virus disease - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-1C-Arboviral-diseases-St-Louis-encepha/4ynm-6jgm'}"
"NNDSS - Table 1C. Arboviral diseases, St. Louis encephalitis virus disease to West Nile virus disease",h4pd-hu6x,h4pd-hu6x_1736735811.714252_NNDSS_-_Table_1C._Arboviral_diseases__St._Louis_encephalitis_virus_disease_to_West_Nile_virus_disease_20250113.csv.gz,2025-01-13 02:36:51 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-1C-Arboviral-diseases-St-Louis-encepha/h4pd-hu6x,"NNDSS - Table 1C. Arboviral diseases, St. Louis encephalitis virus disease to West Nile virus disease - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
 Max: Maximum — Maximum case count during the previous 52 weeks.
  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - Table 1C. Arboviral diseases, St. Louis encephalitis virus disease to West Nile virus disease', 'id': 'h4pd-hu6x', 'description': ""NNDSS - Table 1C. Arboviral diseases, St. Louis encephalitis virus disease to West Nile virus disease - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-1C-Arboviral-diseases-St-Louis-encepha/h4pd-hu6x'}"
"NNDSS - Table 1C. Arboviral diseases, St. Louis encephalitis virus disease to West Nile virus disease",q8j9-sue7,q8j9-sue7_1736738252.610722_NNDSS_-_Table_1C._Arboviral_diseases__St._Louis_encephalitis_virus_disease_to_West_Nile_virus_disease_20250113.csv.gz,2025-01-13 03:17:32 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-1C-Arboviral-diseases-St-Louis-encepha/q8j9-sue7,"NNDSS - Table 1C. Arboviral diseases, St. Louis encephalitis virus disease to West Nile virus disease - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notes:
•	These are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.
•	The list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.
Footnotes:
*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.",,"{'name': 'NNDSS - Table 1C. Arboviral diseases, St. Louis encephalitis virus disease to West Nile virus disease', 'id': 'q8j9-sue7', 'description': ""NNDSS - Table 1C. Arboviral diseases, St. Louis encephalitis virus disease to West Nile virus disease - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\nFootnotes:\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-1C-Arboviral-diseases-St-Louis-encepha/q8j9-sue7'}"
"NNDSS - Table 1D. Arboviral diseases, Western equine encephalitis virus disease to Babesiosis",3svv-v5nh,3svv-v5nh_1736737710.088073_NNDSS_-_Table_1D._Arboviral_diseases__Western_equine_encephalitis_virus_disease_to_Babesiosis_20250113.csv.gz,2025-01-13 03:08:30 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-1D-Arboviral-diseases-Western-equine-e/3svv-v5nh,"NNDSS - Table 1D. Arboviral diseases, Western equine encephalitis virus disease to Babesiosis - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notes:
•	These are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.
•	The list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.
Footnotes:
*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.","<https://data.cdc.gov/NNDSS/NNDSS-Table-1D-Arboviral-diseases-Western-equine-e/3svv-v5nh>; rel=""original"",
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","{'name': 'NNDSS - Table 1D. Arboviral diseases, Western equine encephalitis virus disease to Babesiosis', 'id': '3svv-v5nh', 'description': ""NNDSS - Table 1D. Arboviral diseases, Western equine encephalitis virus disease to Babesiosis - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\nFootnotes:\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-1D-Arboviral-diseases-Western-equine-e/3svv-v5nh'}"
"NNDSS - Table 1D. Arboviral diseases, Western equine encephalitis virus disease to Babesiosis",hkr7-mcee,hkr7-mcee_1736731759.390736_NNDSS_-_Table_1D._Arboviral_diseases__Western_equine_encephalitis_virus_disease_to_Babesiosis_20250113.csv.gz,2025-01-13 01:29:19 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-1D-Arboviral-diseases-Western-equine-e/hkr7-mcee,"NNDSS - Table 1D. Arboviral diseases, Western equine encephalitis virus disease to Babesiosis - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
 Max: Maximum — Maximum case count during the previous 52 weeks.
  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. 
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - Table 1D. Arboviral diseases, Western equine encephalitis virus disease to Babesiosis', 'id': 'hkr7-mcee', 'description': ""NNDSS - Table 1D. Arboviral diseases, Western equine encephalitis virus disease to Babesiosis - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-1D-Arboviral-diseases-Western-equine-e/hkr7-mcee'}"
"NNDSS - Table 1D. Arboviral diseases, Western equine encephalitis virus disease to Babesiosis",rezz-ypcg,rezz-ypcg_1736714678.405007_NNDSS_-_Table_1D._Arboviral_diseases__Western_equine_encephalitis_virus_disease_to_Babesiosis_20250112.csv.gz,2025-01-12 20:44:38 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-1D-Arboviral-diseases-Western-equine-e/rezz-ypcg,"NNDSS - Table 1D. Arboviral diseases, Western equine encephalitis virus disease to Babesiosis - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - Table 1D. Arboviral diseases, Western equine encephalitis virus disease to Babesiosis', 'id': 'rezz-ypcg', 'description': ""NNDSS - Table 1D. Arboviral diseases, Western equine encephalitis virus disease to Babesiosis - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['health', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-1D-Arboviral-diseases-Western-equine-e/rezz-ypcg'}"
"NNDSS - Table 1E. Botulism, Foodborne to Botulism, Other (wound & unspecified)",4bft-6yws,4bft-6yws_1736734068.663321_NNDSS_-_Table_1E._Botulism__Foodborne_to_Botulism__Other__wound___unspecified__20250113.csv.gz,2025-01-13 02:07:48 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-1E-Botulism-Foodborne-to-Botulism-Othe/4bft-6yws,"NNDSS - Table 1E. Botulism, Foodborne to Botulism, Other (wound & unspecified) - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - Table 1E. Botulism, Foodborne to Botulism, Other (wound & unspecified)', 'id': '4bft-6yws', 'description': ""NNDSS - Table 1E. Botulism, Foodborne to Botulism, Other (wound & unspecified) - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-1E-Botulism-Foodborne-to-Botulism-Othe/4bft-6yws'}"
"NNDSS - Table 1E. Botulism, Foodborne to Botulism, Other (wound & unspecified)",b6sy-qq3u,b6sy-qq3u_1736737150.026697_NNDSS_-_Table_1E._Botulism__Foodborne_to_Botulism__Other__wound___unspecified__20250113.csv.gz,2025-01-13 02:59:10 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-1E-Botulism-Foodborne-to-Botulism-Othe/b6sy-qq3u,"NNDSS - Table 1E. Botulism, Foodborne to Botulism, Other (wound & unspecified) - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notes:
•	These are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.
•	The list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.

Footnotes:

*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.",,"{'name': 'NNDSS - Table 1E. Botulism, Foodborne to Botulism, Other (wound & unspecified)', 'id': 'b6sy-qq3u', 'description': ""NNDSS - Table 1E. Botulism, Foodborne to Botulism, Other (wound & unspecified) - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-1E-Botulism-Foodborne-to-Botulism-Othe/b6sy-qq3u'}"
"NNDSS - Table 1E. Botulism, Foodborne to Botulism, Other (wound & unspecified)",ngaa-n8ir,ngaa-n8ir_1736735108.924797_NNDSS_-_Table_1E._Botulism__Foodborne_to_Botulism__Other__wound___unspecified__20250113.csv.gz,2025-01-13 02:25:08 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-1E-Botulism-Foodborne-to-Botulism-Othe/ngaa-n8ir,"NNDSS - Table 1E. Botulism, Foodborne to Botulism, Other (wound & unspecified) - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
 Max: Maximum — Maximum case count during the previous 52 weeks.
  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf 
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - Table 1E. Botulism, Foodborne to Botulism, Other (wound & unspecified)', 'id': 'ngaa-n8ir', 'description': ""NNDSS - Table 1E. Botulism, Foodborne to Botulism, Other (wound & unspecified) - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf \n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-1E-Botulism-Foodborne-to-Botulism-Othe/ngaa-n8ir'}"
"NNDSS - Table 1F. Brucellosis to Candida auris, clinical",9kbf-icdi,9kbf-icdi_1736733508.188418_NNDSS_-_Table_1F._Brucellosis_to_Candida_auris__clinical_20250113.csv.gz,2025-01-13 01:58:28 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-1F-Brucellosis-to-Candida-auris-clinic/9kbf-icdi,"NNDSS - Table 1F. Brucellosis to Candida auris, clinical - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). 
§ Reporting jurisdictions were informed CDC could receive data for this condition in August 2019. Please note there will be a delay in reporting of case notifications for this condition to CDC.",,"{'name': 'NNDSS - Table 1F. Brucellosis to Candida auris, clinical', 'id': '9kbf-icdi', 'description': ""NNDSS - Table 1F. Brucellosis to Candida auris, clinical - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \n§ Reporting jurisdictions were informed CDC could receive data for this condition in August 2019. Please note there will be a delay in reporting of case notifications for this condition to CDC."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-1F-Brucellosis-to-Candida-auris-clinic/9kbf-icdi'}"
"NNDSS - Table 1F. Brucellosis to Candida auris, clinical",i43m-djm6,i43m-djm6_1736730897.663338_NNDSS_-_Table_1F._Brucellosis_to_Candida_auris__clinical_20250113.csv.gz,2025-01-13 01:14:57 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-1F-Brucellosis-to-Candida-auris-clinic/i43m-djm6,"NNDSS - Table 1F. Brucellosis to Candida auris, clinical - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Data from California published in week 29 for years 2019 and 2020 were incomplete when originally published on July 24, 2020. On August 4, 2020, incomplete case counts were replaced with a ""U"" indicating case counts are not available for specified time period. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). 
§ Reporting jurisdictions were informed CDC could receive data for this condition in August 2019. Please note there will be a delay in reporting of case notifications for this condition to CDC.",,"{'name': 'NNDSS - Table 1F. Brucellosis to Candida auris, clinical', 'id': 'i43m-djm6', 'description': 'NNDSS - Table 1F. Brucellosis to Candida auris, clinical - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Data from California published in week 29 for years 2019 and 2020 were incomplete when originally published on July 24, 2020. On August 4, 2020, incomplete case counts were replaced with a ""U"" indicating case counts are not available for specified time period. \n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case\'s country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the \'Non-U.S. Residents\' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \n§ Reporting jurisdictions were informed CDC could receive data for this condition in August 2019. Please note there will be a delay in reporting of case notifications for this condition to CDC.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-1F-Brucellosis-to-Candida-auris-clinic/i43m-djm6'}"
"NNDSS - Table 1F. Brucellosis to Candida auris, clinical",n322-ce6f,n322-ce6f_1736736616.091594_NNDSS_-_Table_1F._Brucellosis_to_Candida_auris__clinical_20250113.csv.gz,2025-01-13 02:50:16 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-1F-Brucellosis-to-Candida-auris-clinic/n322-ce6f,"NNDSS - Table 1F. Brucellosis to Candida auris, clinical - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notes:

•	These are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.
•	The list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.

Footnotes:

*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.",,"{'name': 'NNDSS - Table 1F. Brucellosis to Candida auris, clinical', 'id': 'n322-ce6f', 'description': ""NNDSS - Table 1F. Brucellosis to Candida auris, clinical - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-1F-Brucellosis-to-Candida-auris-clinic/n322-ce6f'}"
NNDSS - Table 1G. Carbapenemase-producing carbapenem-resistant Enterobacteriaceae to Chlamydia trachomatis infection,cds4-6y7t,cds4-6y7t_1736731663.834524_NNDSS_-_Table_1G._Carbapenemase-producing_carbapenem-resistant_Enterobacteriaceae_to_Chlamydia_trachomatis_infection_20250113.csv.gz,2025-01-13 01:27:43 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-1G-Carbapenemase-producing-carbapenem-/cds4-6y7t,"NNDSS - Table 1G. Carbapenemase-producing carbapenem-resistant Enterobacteriaceae to Chlamydia trachomatis infection - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). 
§ Reporting jurisdictions were informed CDC could receive data for this condition in August 2019. Please note there will be a delay in reporting of case notifications for this condition to CDC.",,"{'name': 'NNDSS - Table 1G. Carbapenemase-producing carbapenem-resistant Enterobacteriaceae to Chlamydia trachomatis infection', 'id': 'cds4-6y7t', 'description': ""NNDSS - Table 1G. Carbapenemase-producing carbapenem-resistant Enterobacteriaceae to Chlamydia trachomatis infection - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \n§ Reporting jurisdictions were informed CDC could receive data for this condition in August 2019. Please note there will be a delay in reporting of case notifications for this condition to CDC."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-1G-Carbapenemase-producing-carbapenem-/cds4-6y7t'}"
NNDSS - Table 1G. Carbapenemase-producing carbapenem-resistant Enterobacteriaceae to Chlamydia trachomatis infection,h3kf-bqpq,h3kf-bqpq_1736737979.969777_NNDSS_-_Table_1G._Carbapenemase-producing_carbapenem-resistant_Enterobacteriaceae_to_Chlamydia_trachomatis_infection_20250113.csv.gz,2025-01-13 03:12:59 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-1G-Carbapenemase-producing-carbapenem-/h3kf-bqpq,"NNDSS - Table 1G. Carbapenemase-producing carbapenem-resistant Enterobacteriaceae to Chlamydia trachomatis infection - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notes:

•	These are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.
•	The list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.

Footnotes:

*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.",,"{'name': 'NNDSS - Table 1G. Carbapenemase-producing carbapenem-resistant Enterobacteriaceae to Chlamydia trachomatis infection', 'id': 'h3kf-bqpq', 'description': ""NNDSS - Table 1G. Carbapenemase-producing carbapenem-resistant Enterobacteriaceae to Chlamydia trachomatis infection - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-1G-Carbapenemase-producing-carbapenem-/h3kf-bqpq'}"
NNDSS - Table 1G. Carbapenemase-producing carbapenem-resistant Enterobacteriaceae to Chlamydia trachomatis infection,hwyy-s2tt,hwyy-s2tt_1736733046.470951_NNDSS_-_Table_1G._Carbapenemase-producing_carbapenem-resistant_Enterobacteriaceae_to_Chlamydia_trachomatis_infection_20250113.csv.gz,2025-01-13 01:50:46 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-1G-Carbapenemase-producing-carbapenem-/hwyy-s2tt,"NNDSS - Table 1G. Carbapenemase-producing carbapenem-resistant Enterobacteriaceae to Chlamydia trachomatis infection - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
 Max: Maximum — Maximum case count during the previous 52 weeks.
  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). 
§ Reporting jurisdictions were informed CDC could receive data for this condition in August 2019. Please note there will be a delay in reporting of case notifications for this condition to CDC.",,"{'name': 'NNDSS - Table 1G. Carbapenemase-producing carbapenem-resistant Enterobacteriaceae to Chlamydia trachomatis infection', 'id': 'hwyy-s2tt', 'description': ""NNDSS - Table 1G. Carbapenemase-producing carbapenem-resistant Enterobacteriaceae to Chlamydia trachomatis infection - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \n§ Reporting jurisdictions were informed CDC could receive data for this condition in August 2019. Please note there will be a delay in reporting of case notifications for this condition to CDC."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-1G-Carbapenemase-producing-carbapenem-/hwyy-s2tt'}"
NNDSS - Table 1H.  Cholera to Coccidioidomycosis,bqmb-vyka,bqmb-vyka_1736732268.402971_NNDSS_-_Table_1H.__Cholera_to_Coccidioidomycosis_20250113.csv.gz,2025-01-13 01:37:48 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-1H-Cholera-to-Coccidioidomycosis/bqmb-vyka,"NNDSS - Table 1H.  Cholera to Coccidioidomycosis - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Data from California published in week 29 for years 2019 and 2020 were incomplete when originally published on July 24, 2020. On August 4, 2020, incomplete case counts were replaced with a ""U"" indicating case counts are not available for specified time period. 

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - Table 1H.  Cholera to Coccidioidomycosis', 'id': 'bqmb-vyka', 'description': 'NNDSS - Table 1H.  Cholera to Coccidioidomycosis - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Data from California published in week 29 for years 2019 and 2020 were incomplete when originally published on July 24, 2020. On August 4, 2020, incomplete case counts were replaced with a ""U"" indicating case counts are not available for specified time period. \n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case\'s country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the \'Non-U.S. Residents\' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-1H-Cholera-to-Coccidioidomycosis/bqmb-vyka'}"
NNDSS - Table 1H. Cholera to Coccidioidomycosis,68sm-zh95,68sm-zh95_1736734041.732628_NNDSS_-_Table_1H._Cholera_to_Coccidioidomycosis_20250113.csv.gz,2025-01-13 02:07:21 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-1H-Cholera-to-Coccidioidomycosis/68sm-zh95,"NNDSS - Table 1H. Cholera to Coccidioidomycosis - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
 Max: Maximum — Maximum case count during the previous 52 weeks.
  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - Table 1H. Cholera to Coccidioidomycosis', 'id': '68sm-zh95', 'description': ""NNDSS - Table 1H. Cholera to Coccidioidomycosis - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-1H-Cholera-to-Coccidioidomycosis/68sm-zh95'}"
NNDSS - Table 1H. Cholera to Coccidioidomycosis,fztq-uwup,fztq-uwup_1736737919.694053_NNDSS_-_Table_1H._Cholera_to_Coccidioidomycosis_20250113.csv.gz,2025-01-13 03:11:59 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-1H-Cholera-to-Coccidioidomycosis/fztq-uwup,"NNDSS - Table 1H. Cholera to Coccidioidomycosis - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notes:

•	These are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.
•	The list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.

Footnotes:

*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.",,"{'name': 'NNDSS - Table 1H. Cholera to Coccidioidomycosis', 'id': 'fztq-uwup', 'description': ""NNDSS - Table 1H. Cholera to Coccidioidomycosis - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-1H-Cholera-to-Coccidioidomycosis/fztq-uwup'}"
NNDSS - Table 1I. Cryptosporidiosis to Cyclosporiasis,986w-8kut,986w-8kut_1736736054.677419_NNDSS_-_Table_1I._Cryptosporidiosis_to_Cyclosporiasis_20250113.csv.gz,2025-01-13 02:40:54 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-1I-Cryptosporidiosis-to-Cyclosporiasis/986w-8kut,"NNDSS - Table 1I. Cryptosporidiosis to Cyclosporiasis - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
 Max: Maximum — Maximum case count during the previous 52 weeks.
  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - Table 1I. Cryptosporidiosis to Cyclosporiasis', 'id': '986w-8kut', 'description': ""NNDSS - Table 1I. Cryptosporidiosis to Cyclosporiasis - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-1I-Cryptosporidiosis-to-Cyclosporiasis/986w-8kut'}"
NNDSS - Table 1I. Cryptosporidiosis to Cyclosporiasis,d4v7-r7ct,d4v7-r7ct_1736737966.549240_NNDSS_-_Table_1I._Cryptosporidiosis_to_Cyclosporiasis_20250113.csv.gz,2025-01-13 03:12:46 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-1I-Cryptosporidiosis-to-Cyclosporiasis/d4v7-r7ct,"NNDSS - Table 1I. Cryptosporidiosis to Cyclosporiasis

NNDSS - Table 1I. Cryptosporidiosis to Cyclosporiasis - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notes:

•	These are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.
•	The list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.

Footnotes:

*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.",,"{'name': 'NNDSS - Table 1I. Cryptosporidiosis to Cyclosporiasis', 'id': 'd4v7-r7ct', 'description': ""NNDSS - Table 1I. Cryptosporidiosis to Cyclosporiasis\n\nNNDSS - Table 1I. Cryptosporidiosis to Cyclosporiasis - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-1I-Cryptosporidiosis-to-Cyclosporiasis/d4v7-r7ct'}"
NNDSS - Table 1I. Cryptosporidiosis to Cyclosporiasis,n83i-w4cq,n83i-w4cq_1736735163.168432_NNDSS_-_Table_1I._Cryptosporidiosis_to_Cyclosporiasis_20250113.csv.gz,2025-01-13 02:26:03 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-1I-Cryptosporidiosis-to-Cyclosporiasis/n83i-w4cq,"NNDSS - Table 1I.  Cryptosporidiosis to Cyclosporiasis - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",,"{'name': 'NNDSS - Table 1I. Cryptosporidiosis to Cyclosporiasis', 'id': 'n83i-w4cq', 'description': ""NNDSS - Table 1I.  Cryptosporidiosis to Cyclosporiasis - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data)."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-1I-Cryptosporidiosis-to-Cyclosporiasis/n83i-w4cq'}"
NNDSS - Table I. infrequently reported notifiable diseases,45b4-9j7u,45b4-9j7u_1736710918.975602_NNDSS_-_Table_I._infrequently_reported_notifiable_diseases_20250112.csv.gz,2025-01-12 19:41:58 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-I-infrequently-reported-notifiable-dis/45b4-9j7u,"NNDSS - Table I. infrequently reported notifiable diseases - 2017.  In this Table, provisional cases of selected infrequently reported notifiable diseases (<1,000 cases reported during the preceding year) are displayed.  

Note:
These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. 

Case counts in these tables are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. 

Footnote:
—: No reported cases. N: Not reportable. NA: Not available. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. 

* Case counts for reporting year 2017 are provisional and subject to change. Data for years 2012 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. 

† This table does not include cases from the U.S. territories. Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. 

§ Calculated by summing the incidence counts for the current week, the 2 weeks preceding the current week, and the 2 weeks following the current week, for a total of 5 preceding years. Additional information is available at http://wwwn.cdc.gov/nndss/document/5yearweeklyaverage.pdf.

¶ Updated weekly reports from the Division of Vector-Borne Diseases, National Center for Emerging and Zoonotic Infectious Diseases (ArboNET Surveillance). Data for West Nile virus are available in Table II. 

** Not reportable in all jurisdictions. Data from states where the condition is not reportable are excluded from this table, except for the arboviral diseases and influenza-associated pediatric mortality. Reporting exceptions are available at http://wwwn.cdc.gov/nndss/downloads.html.

†† Data for Haemophilus influenzae (all ages, all serotypes) are available in Table II.

§§ In 2016, the nationally notifiable condition ‘Hepatitis B Perinatal Infection’ was renamed to ‘Perinatal Hepatitis B Virus Infection’ and reflects updates in the 2016 CSTE position statement for Perinatal Hepatitis B Virus Infection.

¶¶ Please refer to the MMWR publication for weekly updates to the footnote for this condition. 

*** Please refer to the MMWR publication for weekly updates to the footnote for this condition. 

††† Data for meningococcal disease (all serogroups) are available in Table II.

§§§ Novel influenza A virus infections are human infections with influenza A viruses that are different from currently circulating human seasonal influenza viruses.  With the exception of one avian lineage influenza A (H7N2) virus, all novel influenza A virus infections reported to CDC since 2011 have been variant influenza viruses.  Total case counts are provided by the Influenza Division, National Center for Immunization and Respiratory Diseases (NCIRD).

¶¶¶ Updated weekly from reports to the Division of STD Prevention, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention.

**** Prior to 2015, CDC's National Notifiable Diseases Surveillance System (NNDSS) did not receive electronic data about incident cases of specific viral hemorrhagic fevers; instead data were collected in aggregate as ""viral hemorrhagic fevers"". Beginning in 2015, NNDSS has been updated to receive data for each of",,"{'name': 'NNDSS - Table I. infrequently reported notifiable diseases', 'id': '45b4-9j7u', 'description': 'NNDSS - Table I. infrequently reported notifiable diseases - 2017.  In this Table, provisional cases of selected infrequently reported notifiable diseases (<1,000 cases reported during the preceding year) are displayed.  \r\n\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in these tables are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnote:\r\n—: No reported cases. N: Not reportable. NA: Not available. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. \r\n\r\n* Case counts for reporting year 2017 are provisional and subject to change. Data for years 2012 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. \r\n\r\n† This table does not include cases from the U.S. territories. Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. \r\n\r\n§ Calculated by summing the incidence counts for the current week, the 2 weeks preceding the current week, and the 2 weeks following the current week, for a total of 5 preceding years. Additional information is available at http://wwwn.cdc.gov/nndss/document/5yearweeklyaverage.pdf.\r\n\r\n¶ Updated weekly reports from the Division of Vector-Borne Diseases, National Center for Emerging and Zoonotic Infectious Diseases (ArboNET Surveillance). Data for West Nile virus are available in Table II. \r\n\r\n** Not reportable in all jurisdictions. Data from states where the condition is not reportable are excluded from this table, except for the arboviral diseases and influenza-associated pediatric mortality. Reporting exceptions are available at http://wwwn.cdc.gov/nndss/downloads.html.\r\n\r\n†† Data for Haemophilus influenzae (all ages, all serotypes) are available in Table II.\r\n\r\n§§ In 2016, the nationally notifiable condition ‘Hepatitis B Perinatal Infection’ was renamed to ‘Perinatal Hepatitis B Virus Infection’ and reflects updates in the 2016 CSTE position statement for Perinatal Hepatitis B Virus Infection.\r\n\r\n¶¶ Please refer to the MMWR publication for weekly updates to the footnote for this condition. \r\n\r\n*** Please refer to the MMWR publication for weekly updates to the footnote for this condition. \r\n\r\n††† Data for meningococcal disease (all serogroups) are available in Table II.\r\n\r\n§§§ Novel influenza A virus infections are human infections with influenza A viruses that are different from currently circulating human seasonal influenza viruses.  With the exception of one avian lineage influenza A (H7N2) virus, all novel influenza A virus infections reported to CDC since 2011 have been variant influenza viruses.  Total case counts are provided by the Influenza Division, National Center for Immunization and Respiratory Diseases (NCIRD).\r\n\r\n¶¶¶ Updated weekly from reports to the Division of STD Prevention, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention.\r\n\r\n**** Prior to 2015, CDC\'s National Notifiable Diseases Surveillance System (NNDSS) did not receive electronic data about incident cases of specific viral hemorrhagic fevers; instead data were collected in aggregate as ""viral hemorrhagic fevers"". Beginning in 2015, NNDSS has been updated to receive data for each of', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-I-infrequently-reported-notifiable-dis/45b4-9j7u'}"
NNDSS - Table I. infrequently reported notifiable diseases,5fyu-rtk3,5fyu-rtk3_1736720100.460585_NNDSS_-_Table_I._infrequently_reported_notifiable_diseases_20250112.csv.gz,2025-01-12 22:15:00 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-I-infrequently-reported-notifiable-dis/5fyu-rtk3,"NNDSS - Table I. infrequently reported notifiable diseases - 2018. In this Table, provisional cases of selected infrequently reported notifiable diseases (<1,000 cases reported during the preceding year) are displayed.  This tables excludes U.S. territories.

Notice:  The case counts for Haemophilus influenzae, invasive disease Nontypeable"" and ""Non-b serotype"" were switched for 2018 weeks 1-52.

Note:
These are provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia are collated and published weekly on the NNDSS Data and Statistic web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.


Footnote:
—: No reported cases. N: Not reportable. NA: Not available. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. 

* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.  

† This table does not include cases from the U.S. territories. 

§ Calculated by summing the incidence counts for the current week, the 2 weeks preceding the current week, and the 2 weeks following the current week, for a total of 5 preceding years. Additional information is available at https://wwwn.cdc.gov/nndss/document/5yearweeklyaverage.pdf.

¶ Not reportable in all jurisdictions. Data from states where the condition is not reportable are excluded from this table, except for the arboviral diseases and influenza-associated pediatric mortality. Reporting exceptions are available at http://wwwn.cdc.gov/nndss/downloads.html.

** Please refer to the CDC WONDER for weekly updates to the footnote for this condition.   

†† Please refer to the CDC WONDER for weekly updates to the footnote for this condition.  

§§ Novel influenza A virus infections are human infections with influenza A viruses that are different from currently circulating human seasonal influenza viruses. With the exception of one avian lineage influenza A (H7N2) virus, all novel influenza A virus infections reported to CDC since 2013 have been variant influenza viruses.

¶¶ Prior to 2018, cases of paratyphoid fever were included with salmonellosis cases (see Table II). 

*** Prior to 2015, CDC's National Notifiable Diseases Surveillance System (NNDSS) did not receive electronic data about incident cases of specific viral hemorrhagic fevers; instead data were collected in aggregate as ""viral hemorrhagic fevers'. NNDSS was updated beginning in 2015 to receive data for each of the viral hemorrhagic fevers listed.",,"{'name': 'NNDSS - Table I. infrequently reported notifiable diseases', 'id': '5fyu-rtk3', 'description': 'NNDSS - Table I. infrequently reported notifiable diseases - 2018. In this Table, provisional cases of selected infrequently reported notifiable diseases (<1,000 cases reported during the preceding year) are displayed.  This tables excludes U.S. territories.\n\nNotice:  The case counts for Haemophilus influenzae, invasive disease Nontypeable"" and ""Non-b serotype"" were switched for 2018 weeks 1-52.\n\nNote:\nThese are provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia are collated and published weekly on the NNDSS Data and Statistic web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.\n\n\nFootnote:\n—: No reported cases. N: Not reportable. NA: Not available. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. \n\n* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.  \n\n† This table does not include cases from the U.S. territories. \n\n§ Calculated by summing the incidence counts for the current week, the 2 weeks preceding the current week, and the 2 weeks following the current week, for a total of 5 preceding years. Additional information is available at https://wwwn.cdc.gov/nndss/document/5yearweeklyaverage.pdf.\n\n¶ Not reportable in all jurisdictions. Data from states where the condition is not reportable are excluded from this table, except for the arboviral diseases and influenza-associated pediatric mortality. Reporting exceptions are available at http://wwwn.cdc.gov/nndss/downloads.html.\n\n** Please refer to the CDC WONDER for weekly updates to the footnote for this condition.   \n\n†† Please refer to the CDC WONDER for weekly updates to the footnote for this condition.  \n\n§§ Novel influenza A virus infections are human infections with influenza A viruses that are different from currently circulating human seasonal influenza viruses. With the exception of one avian lineage influenza A (H7N2) virus, all novel influenza A virus infections reported to CDC since 2013 have been variant influenza viruses.\n\n¶¶ Prior to 2018, cases of paratyphoid fever were included with salmonellosis cases (see Table II). \n\n*** Prior to 2015, CDC\'s National Notifiable Diseases Surveillance System (NNDSS) did not receive electronic data about incident cases of specific viral hemorrhagic fevers; instead data were collected in aggregate as ""viral hemorrhagic fevers\'. NNDSS was updated beginning in 2015 to receive data for each of the viral hemorrhagic fevers listed.', 'datatype': 'tabular', 'keywords': ['health', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-I-infrequently-reported-notifiable-dis/5fyu-rtk3'}"
NNDSS - Table I. infrequently reported notifiable diseases,dwqk-w36f,dwqk-w36f_1736712117.031676_NNDSS_-_Table_I._infrequently_reported_notifiable_diseases_20250112.csv.gz,2025-01-12 20:01:57 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-I-infrequently-reported-notifiable-dis/dwqk-w36f,"NNDSS - Table I. infrequently reported notifiable diseases - 2016.  In this Table, provisional* cases of selected† infrequently reported notifiable diseases (<1,000 cases reported during the preceding year) are displayed.  
Note:

These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. 

Case counts in these tables are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. 

“Symbols and footnotes changed in week #4, please refer to the MMWR publication for the symbols/footnotes for weeks 1, 2, and 3”.

Footnote:
-: No reported cases    N: Not reportable    NA: Not available NN: Not Nationally Notifiable.  NP:  Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.
* Case counts for reporting year 2016 are provisional and subject to change.  Data for years 2011 through 2015 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. 
† This table does not include cases from the U.S. territories. Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions.  
§ Calculated by summing the incidence counts for the current week, the 2 weeks preceding the current week, and the 2 weeks following the current week, for a total of 5 preceding years.  Additional information is available at http://wwwn.cdc.gov/nndss/document/5yearweeklyaverage.pdf. 
¶ Includes both neuroinvasive and nonneuroinvasive. Updated weekly reports from the Division of Vector-Borne Diseases, National Center for Emerging and Zoonotic Infectious Diseases (ArboNET Surveillance). Data for West Nile virus are available in Table II. 
** Not reportable in all reporting jurisdictions. Data from states where the condition is not reportable are excluded from this table, except for the arboviral diseases and influenza-associated pediatric mortality. Reporting exceptions are available at http://wwwn.cdc.gov/nndss/downloads.html.
†† Office of Management and Budget approval of the NNDSS Revision #0920-0728 on January 21, 2016, authorized CDC to receive data for these conditions. CDC is in the process
of soliciting data for these conditions (except Zika virus, congenital infection). CDC and the U.S. states are still modifying the technical infrastructure needed to collect and transmit data for Zika virus congenital infections.
§§ Jamestown Canyon virus and Lacrosse virus have replaced California serogroup diseases.
¶¶ Data for Haemophilus influenzae (all ages, all serotypes) are available in Table II.
***  Please refer to the MMWR publication for weekly updates to the footnote for this condition.  
††† Please refer to the MMWR publication for weekly updates to the footnote for this condition. 
§§§ Data for meningococcal disease (all serogroups) are available in Table II. 
¶¶¶ Please refer to the MMWR publication for weekly updates to the footnote for this condition. 
**** Updated weekly from reports to the Division of STD Prevention, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention. 
†††† Please refer to the MMWR publication for weekly updates to the footnote for this condition. 
§§§§ All cases reported have occurred in travelers returning from affected areas, with their sexual contacts, or infants infected in ute",,"{'name': 'NNDSS - Table I. infrequently reported notifiable diseases', 'id': 'dwqk-w36f', 'description': 'NNDSS - Table I. infrequently reported notifiable diseases - 2016.  In this Table, provisional* cases of selected† infrequently reported notifiable diseases (<1,000 cases reported during the preceding year) are displayed.  \r\nNote:\r\n\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in these tables are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\n“Symbols and footnotes changed in week #4, please refer to the MMWR publication for the symbols/footnotes for weeks 1, 2, and 3”.\r\n\r\nFootnote:\r\n-: No reported cases    N: Not reportable    NA: Not available NN: Not Nationally Notifiable.  NP:  Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.\r\n* Case counts for reporting year 2016 are provisional and subject to change.  Data for years 2011 through 2015 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. \r\n† This table does not include cases from the U.S. territories. Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions.  \r\n§ Calculated by summing the incidence counts for the current week, the 2 weeks preceding the current week, and the 2 weeks following the current week, for a total of 5 preceding years.  Additional information is available at http://wwwn.cdc.gov/nndss/document/5yearweeklyaverage.pdf. \r\n¶ Includes both neuroinvasive and nonneuroinvasive. Updated weekly reports from the Division of Vector-Borne Diseases, National Center for Emerging and Zoonotic Infectious Diseases (ArboNET Surveillance). Data for West Nile virus are available in Table II. \r\n** Not reportable in all reporting jurisdictions. Data from states where the condition is not reportable are excluded from this table, except for the arboviral diseases and influenza-associated pediatric mortality. Reporting exceptions are available at http://wwwn.cdc.gov/nndss/downloads.html.\r\n†† Office of Management and Budget approval of the NNDSS Revision #0920-0728 on January 21, 2016, authorized CDC to receive data for these conditions. CDC is in the process\r\nof soliciting data for these conditions (except Zika virus, congenital infection). CDC and the U.S. states are still modifying the technical infrastructure needed to collect and transmit data for Zika virus congenital infections.\r\n§§ Jamestown Canyon virus and Lacrosse virus have replaced California serogroup diseases.\r\n¶¶ Data for Haemophilus influenzae (all ages, all serotypes) are available in Table II.\r\n***  Please refer to the MMWR publication for weekly updates to the footnote for this condition.  \r\n††† Please refer to the MMWR publication for weekly updates to the footnote for this condition. \r\n§§§ Data for meningococcal disease (all serogroups) are available in Table II. \r\n¶¶¶ Please refer to the MMWR publication for weekly updates to the footnote for this condition. \r\n**** Updated weekly from reports to the Division of STD Prevention, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention. \r\n†††† Please refer to the MMWR publication for weekly updates to the footnote for this condition. \r\n§§§§ All cases reported have occurred in travelers returning from affected areas, with their sexual contacts, or infants infected in ute', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-I-infrequently-reported-notifiable-dis/dwqk-w36f'}"
NNDSS - Table I. infrequently reported notifiable diseases,pb4z-432k,pb4z-432k_1736712955.560991_NNDSS_-_Table_I._infrequently_reported_notifiable_diseases_20250112.csv.gz,2025-01-12 20:15:55 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-I-infrequently-reported-notifiable-dis/pb4z-432k,"NNDSS - Table I. infrequently reported notifiable diseases - 2015.  In this Table, provisional cases of selected infrequently reported notifiable diseases (<1,000 cases reported during the preceding year) are displayed.  Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in these tables are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnote:-: No reported cases    N: Not reportable.    NN: Not Nationally Notifiable.    NP: Nationally notifiable but not published.    Cum: Cumulative year-to-date counts. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year  2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. �� Calculated by summing the incidence counts for the current week, the 2 weeks preceding the current week, and the 2 weeks following the current week, for a total of 5 preceding years. The total sum of incident cases is then divided by 25 weeks. Additional information is available at http://wwwn.cdc.gov/nndss/document/5yearweeklyaverage.pdf. �� Data for the Arboviral disease, Chikungunya, and Hantavirus infection disease, non-Hantavirus Pulmonary Syndrome (HPS), will be displayed in this table after the CDC obtains Office of Management and Budget Paperwork Reduction Act approval to receive data for these conditions. ** Includes both neuroinvasive and nonneuroinvasive. Updated weekly from reports to the Division of Vector-Borne Infectious Diseases, National Center for Zoonotic, Vector-Borne, and Enteric Diseases (ArboNET Surveillance). Data for West Nile virus are available in Table II. ��ʉ�� Not reportable in all states. Data from states where the condition is not reportable are excluded from this table except starting in 2007 for the arboviral diseases, STD data, TB data, and influenza-associated pediatric mortality, and in 2003 for SARS-CoV. Reporting exceptions are available at http://wwwn.cdc.gov/nndss/downloads.html.  ���� Data for H. influenzae (all ages, all serotypes) are available in Table II. ���� Updated weekly from reports to the Influenza Division, National Center for Immunization and Respiratory Diseases. Please refer to the MMWR publication for weekly updates to the footnote for this condition. *** Please refer to the MMWR publication for weekly updates to the footnote for this condition. ��ʉ�ʉ�� Data for meningococcal disease (all serogroups) are available in Table II. ������ Please refer to the MMWR publication for weekly updates to the footnote for this condition. ������ Updated weekly from reports to the Division of STD Prevention, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention. **** Please refer to the MMWR publication for weekly updates to the footnote for this condition. See Table II for Dengue Hemorrhagic Fever.",,"{'name': 'NNDSS - Table I. infrequently reported notifiable diseases', 'id': 'pb4z-432k', 'description': 'NNDSS - Table I. infrequently reported notifiable diseases - 2015.  In this Table, provisional cases of selected infrequently reported notifiable diseases (<1,000 cases reported during the preceding year) are displayed.  Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in these tables are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnote:-: No reported cases    N: Not reportable.    NN: Not Nationally Notifiable.    NP: Nationally notifiable but not published.    Cum: Cumulative year-to-date counts. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year  2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. �� Calculated by summing the incidence counts for the current week, the 2 weeks preceding the current week, and the 2 weeks following the current week, for a total of 5 preceding years. The total sum of incident cases is then divided by 25 weeks. Additional information is available at http://wwwn.cdc.gov/nndss/document/5yearweeklyaverage.pdf. �� Data for the Arboviral disease, Chikungunya, and Hantavirus infection disease, non-Hantavirus Pulmonary Syndrome (HPS), will be displayed in this table after the CDC obtains Office of Management and Budget Paperwork Reduction Act approval to receive data for these conditions. ** Includes both neuroinvasive and nonneuroinvasive. Updated weekly from reports to the Division of Vector-Borne Infectious Diseases, National Center for Zoonotic, Vector-Borne, and Enteric Diseases (ArboNET Surveillance). Data for West Nile virus are available in Table II. ��ʉ�� Not reportable in all states. Data from states where the condition is not reportable are excluded from this table except starting in 2007 for the arboviral diseases, STD data, TB data, and influenza-associated pediatric mortality, and in 2003 for SARS-CoV. Reporting exceptions are available at http://wwwn.cdc.gov/nndss/downloads.html.  ���� Data for H. influenzae (all ages, all serotypes) are available in Table II. ���� Updated weekly from reports to the Influenza Division, National Center for Immunization and Respiratory Diseases. Please refer to the MMWR publication for weekly updates to the footnote for this condition. *** Please refer to the MMWR publication for weekly updates to the footnote for this condition. ��ʉ�ʉ�� Data for meningococcal disease (all serogroups) are available in Table II. ������ Please refer to the MMWR publication for weekly updates to the footnote for this condition. ������ Updated weekly from reports to the Division of STD Prevention, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention. **** Please refer to the MMWR publication for weekly updates to the footnote for this condition. See Table II for Dengue Hemorrhagic Fever.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-I-infrequently-reported-notifiable-dis/pb4z-432k'}"
NNDSS - Table I. infrequently reported notifiable diseases,wcwi-x3uk,wcwi-x3uk_1736711399.451335_NNDSS_-_Table_I._infrequently_reported_notifiable_diseases_20250112.csv.gz,2025-01-12 19:49:59 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-I-infrequently-reported-notifiable-dis/wcwi-x3uk,"NNDSS - Table I. infrequently reported notifiable diseases - 2014.In this Table, provisional cases of selected infrequently reported notifiable diseases (<1,000 cases reported during the preceding year) are displayed.  Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in these tables are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnote:-: No reported cases    N: Not reportable    NN: Not Nationally Notifiable    Cum: Cumulative year-to-date counts. * Case counts for reporting year 2014 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. ��� Calculated by summing the incidence counts for the current week, the 2 weeks preceding the current week, and the 2 weeks following the current week, for a total of 5 preceding years. The total sum of incident cases is then divided by 25 weeks. Additional information is available at http://wwwn.cdc.gov/nndss/document/5yearweeklyaverage.pdf. �� Not reportable in all states. Data from states where the condition is not reportable are excluded from this table except starting in 2007 for the Arboviral diseases, STD data, TB data, and influenza-associated pediatric mortality, and in 2003 for SARS-CoV. Reporting exceptions are available at http://wwwn.cdc.gov/nndss/document/SRCA_FINAL_REPORT_2006-2012_final.xlsx. �� Includes both neuroinvasive and nonneuroinvasive. Updated weekly from reports to the Division of Vector-Borne Infectious Diseases, National Center for Zoonotic, Vector-Borne, and Enteric Diseases (ArboNET Surveillance). Data for West Nile virus are available in Table II. ** Data for H. influenzae (all ages, all serotypes) are available in Table II. ��ʉ�� Updated weekly from reports to the Influenza Division, National Center for Immunization and Respiratory Diseases. Please refer to the MMWR publication for weekly updates to the footnote for this condition. ���� Please refer to the MMWR publication for weekly updates to the footnote for this condition. ���� Data for meningococcal disease (all serogroups) are available in Table II. *** Please refer to the MMWR publication for weekly updates to the footnote for this condition. ��ʉ�ʉ�� Please refer to the MMWR publication for weekly updates to the footnote for this condition. ������ Updated weekly from reports to the Division of STD Prevention, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention. ������ Please refer to the MMWR publication for weekly updates to the footnote for this condition. See Table II for Dengue Hemorrhagic Fever.More information on NNDSS is available at http://wwwn.cdc.gov/nndss/.",,"{'name': 'NNDSS - Table I. infrequently reported notifiable diseases', 'id': 'wcwi-x3uk', 'description': 'NNDSS - Table I. infrequently reported notifiable diseases - 2014.In this Table, provisional cases of selected infrequently reported notifiable diseases (<1,000 cases reported during the preceding year) are displayed.  Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in these tables are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnote:-: No reported cases    N: Not reportable    NN: Not Nationally Notifiable    Cum: Cumulative year-to-date counts. * Case counts for reporting year 2014 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. ��� Calculated by summing the incidence counts for the current week, the 2 weeks preceding the current week, and the 2 weeks following the current week, for a total of 5 preceding years. The total sum of incident cases is then divided by 25 weeks. Additional information is available at http://wwwn.cdc.gov/nndss/document/5yearweeklyaverage.pdf. �� Not reportable in all states. Data from states where the condition is not reportable are excluded from this table except starting in 2007 for the Arboviral diseases, STD data, TB data, and influenza-associated pediatric mortality, and in 2003 for SARS-CoV. Reporting exceptions are available at http://wwwn.cdc.gov/nndss/document/SRCA_FINAL_REPORT_2006-2012_final.xlsx. �� Includes both neuroinvasive and nonneuroinvasive. Updated weekly from reports to the Division of Vector-Borne Infectious Diseases, National Center for Zoonotic, Vector-Borne, and Enteric Diseases (ArboNET Surveillance). Data for West Nile virus are available in Table II. ** Data for H. influenzae (all ages, all serotypes) are available in Table II. ��ʉ�� Updated weekly from reports to the Influenza Division, National Center for Immunization and Respiratory Diseases. Please refer to the MMWR publication for weekly updates to the footnote for this condition. ���� Please refer to the MMWR publication for weekly updates to the footnote for this condition. ���� Data for meningococcal disease (all serogroups) are available in Table II. *** Please refer to the MMWR publication for weekly updates to the footnote for this condition. ��ʉ�ʉ�� Please refer to the MMWR publication for weekly updates to the footnote for this condition. ������ Updated weekly from reports to the Division of STD Prevention, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention. ������ Please refer to the MMWR publication for weekly updates to the footnote for this condition. See Table II for Dengue Hemorrhagic Fever.More information on NNDSS is available at http://wwwn.cdc.gov/nndss/.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-I-infrequently-reported-notifiable-dis/wcwi-x3uk'}"
NNDSS - Table II. Babesiosis to Campylobacteriosis,4y34-2pku,4y34-2pku_1736719816.617543_NNDSS_-_Table_II._Babesiosis_to_Campylobacteriosis_20250112.csv.gz,2025-01-12 22:10:16 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Babesiosis-to-Campylobacteriosis/4y34-2pku,"NNDSS - Table II. Babesiosis to Campylobacteriosis - 2016. In this Table, provisional* cases of selected† notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.

Note:
These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. 

Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. 
Footnotes:
C.N.M.I.: Commonwealth of Northern Mariana Islands. 
U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.   NP:  Nationally notifiable but not published.   Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum.
* Case counts for reporting year 2016 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. 
† Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions.",,"{'name': 'NNDSS - Table II. Babesiosis to Campylobacteriosis', 'id': '4y34-2pku', 'description': 'NNDSS - Table II. Babesiosis to Campylobacteriosis - 2016. In this Table, provisional* cases of selected† notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\n\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\nFootnotes:\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.   NP:  Nationally notifiable but not published.   Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum.\r\n* Case counts for reporting year 2016 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. \r\n† Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Babesiosis-to-Campylobacteriosis/4y34-2pku'}"
NNDSS - Table II. Babesiosis to Campylobacteriosis,8n2k-mkiw,8n2k-mkiw_1736727299.648069_NNDSS_-_Table_II._Babesiosis_to_Campylobacteriosis_20250113.csv.gz,2025-01-13 00:14:59 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Babesiosis-to-Campylobacteriosis/8n2k-mkiw,"NNDSS - Table II. Babesiosis to Campylobacteriosis - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.

Note:

This table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html 

Footnotes:

 C.N.M.I.: Commonwealth of Northern Mariana Islands. 
U: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. 

* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.",,"{'name': 'NNDSS - Table II. Babesiosis to Campylobacteriosis', 'id': '8n2k-mkiw', 'description': 'NNDSS - Table II. Babesiosis to Campylobacteriosis - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.\r\n\r\nNote:\r\n\r\nThis table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html \r\n\r\nFootnotes:\r\n\r\n C.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Babesiosis-to-Campylobacteriosis/8n2k-mkiw'}"
NNDSS - Table II. Babesiosis to Campylobacteriosis,s5s8-d82d,s5s8-d82d_1736720580.163291_NNDSS_-_Table_II._Babesiosis_to_Campylobacteriosis_20250112.csv.gz,2025-01-12 22:23:00 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Babesiosis-to-Campylobacteriosis/s5s8-d82d,"NNDSS - Table II. Babesiosis to Campylobacteriosis - 2015.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.    NP: Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year 2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly.",,"{'name': 'NNDSS - Table II. Babesiosis to Campylobacteriosis', 'id': 's5s8-d82d', 'description': 'NNDSS - Table II. Babesiosis to Campylobacteriosis - 2015.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.    NP: Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year 2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Babesiosis-to-Campylobacteriosis/s5s8-d82d'}"
NNDSS - Table II. Babesiosis to Campylobacteriosis,xuah-ug7z,xuah-ug7z_1736715809.162439_NNDSS_-_Table_II._Babesiosis_to_Campylobacteriosis_20250112.csv.gz,2025-01-12 21:03:29 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Babesiosis-to-Campylobacteriosis/xuah-ug7z,"NNDSS - Table II. Babesiosis to Campylobacteriosis - 2017. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.

Note:
These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. 

Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. 

Footnotes:
 C.N.M.I.: Commonwealth of Northern Mariana Islands. 

U: Unavailable. —: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. 

* Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions.
 
† Case counts for reporting year 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for tuberculosis are displayed in Table IV, which appears quarterly.",,"{'name': 'NNDSS - Table II. Babesiosis to Campylobacteriosis', 'id': 'xuah-ug7z', 'description': 'NNDSS - Table II. Babesiosis to Campylobacteriosis - 2017. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\n\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\n C.N.M.I.: Commonwealth of Northern Mariana Islands. \r\n\r\nU: Unavailable. —: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n* Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions.\r\n \r\n† Case counts for reporting year 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for tuberculosis are displayed in Table IV, which appears quarterly.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Babesiosis-to-Campylobacteriosis/xuah-ug7z'}"
NNDSS - Table II. Babesiosis to Coccidioidomycosis,qz8t-eu2e,qz8t-eu2e_1736715740.903172_NNDSS_-_Table_II._Babesiosis_to_Coccidioidomycosis_20250112.csv.gz,2025-01-12 21:02:20 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Babesiosis-to-Coccidioidomycosis/qz8t-eu2e,"NNDSS - Table II. Babesiosis to Coccidioidomycosis - 2014.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Case counts for reporting year 2014 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly.More information on NNDSS is available at http://wwwn.cdc.gov/nndss/.","<https://data.cdc.gov/NNDSS/NNDSS-Table-II-Babesiosis-to-Coccidioidomycosis/qz8t-eu2e>; rel=""original"",
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","{'name': 'NNDSS - Table II. Babesiosis to Coccidioidomycosis', 'id': 'qz8t-eu2e', 'description': 'NNDSS - Table II. Babesiosis to Coccidioidomycosis - 2014.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Case counts for reporting year 2014 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly.More information on NNDSS is available at http://wwwn.cdc.gov/nndss/.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Babesiosis-to-Coccidioidomycosis/qz8t-eu2e'}"
NNDSS - Table II. Carbapenemase-producing carbapenem-resistant Enterobacteriaceae,6tk5-h85s,6tk5-h85s_1736728483.414082_NNDSS_-_Table_II._Carbapenemase-producing_carbapenem-resistant_Enterobacteriaceae_20250113.csv.gz,2025-01-13 00:34:43 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Carbapenemase-producing-carbapenem-/6tk5-h85s,"NNDSS - Table II. Carbapenemase-producing carbapenem-resistant Enterobacteriaceae - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.

Note:

This table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html 

Footnotes:

C.N.M.I.: Commonwealth of Northern Mariana Islands. 
U: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. 

* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.  

† Data for carbapenemase-producing carbapenem-resistant Enterobacteriaceae (CP-CRE) will be displayed in this table after the CDC obtains Office of Management and Budget Paperwork Reduction Act approval to receive data for this condition.",,"{'name': 'NNDSS - Table II. Carbapenemase-producing carbapenem-resistant Enterobacteriaceae', 'id': '6tk5-h85s', 'description': 'NNDSS - Table II. Carbapenemase-producing carbapenem-resistant Enterobacteriaceae - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.\r\n\r\nNote:\r\n\r\nThis table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html \r\n\r\nFootnotes:\r\n\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.  \r\n\r\n† Data for carbapenemase-producing carbapenem-resistant Enterobacteriaceae (CP-CRE) will be displayed in this table after the CDC obtains Office of Management and Budget Paperwork Reduction Act approval to receive data for this condition.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Carbapenemase-producing-carbapenem-/6tk5-h85s'}"
NNDSS - Table II. Chlamydia to Coccidioidomycosis,7mbm-jety,7mbm-jety_1736712012.758760_NNDSS_-_Table_II._Chlamydia_to_Coccidioidomycosis_20250112.csv.gz,2025-01-12 20:00:12 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Chlamydia-to-Coccidioidomycosis/7mbm-jety,"NNDSS - Table II. Chlamydia to Coccidioidomycosis - 2017.  In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.

Note:
These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. 

Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. 

Footnotes:
 C.N.M.I.: Commonwealth of Northern Mariana Islands. 

U: Unavailable. —: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. 

* Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. 

† Case counts for reporting year 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for tuberculosis are displayed in Table IV, which appears quarterly.",,"{'name': 'NNDSS - Table II. Chlamydia to Coccidioidomycosis', 'id': '7mbm-jety', 'description': 'NNDSS - Table II. Chlamydia to Coccidioidomycosis - 2017.  In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\n\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\n C.N.M.I.: Commonwealth of Northern Mariana Islands. \r\n\r\nU: Unavailable. —: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n* Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. \r\n\r\n† Case counts for reporting year 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for tuberculosis are displayed in Table IV, which appears quarterly.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Chlamydia-to-Coccidioidomycosis/7mbm-jety'}"
NNDSS - Table II. Chlamydia to Coccidioidomycosis,97tt-n3j3,97tt-n3j3_1736718029.436361_NNDSS_-_Table_II._Chlamydia_to_Coccidioidomycosis_20250112.csv.gz,2025-01-12 21:40:29 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Chlamydia-to-Coccidioidomycosis/97tt-n3j3,"NNDSS - Table II. Chlamydia to Coccidioidomycosis - 2015.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed.The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.    NP: Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year 2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly.",,"{'name': 'NNDSS - Table II. Chlamydia to Coccidioidomycosis', 'id': '97tt-n3j3', 'description': 'NNDSS - Table II. Chlamydia to Coccidioidomycosis - 2015.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed.The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.    NP: Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year 2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Chlamydia-to-Coccidioidomycosis/97tt-n3j3'}"
NNDSS - Table II. Chlamydia to Coccidioidomycosis,n835-hpyp,n835-hpyp_1736716359.915582_NNDSS_-_Table_II._Chlamydia_to_Coccidioidomycosis_20250112.csv.gz,2025-01-12 21:12:39 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Chlamydia-to-Coccidioidomycosis/n835-hpyp,"NNDSS - Table II. Chlamydia to Coccidioidomycosis - 2016.  In this Table, provisional* cases of selected† notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.
Note:
These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. 

Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. 

Footnotes:
C.N.M.I.: Commonwealth of Northern Mariana Islands. 
U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.    NP:  Nationally notifiable but not published.  Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum.

* Case counts for reporting year 2016 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. 
† Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions.",,"{'name': 'NNDSS - Table II. Chlamydia to Coccidioidomycosis', 'id': 'n835-hpyp', 'description': 'NNDSS - Table II. Chlamydia to Coccidioidomycosis - 2016.  In this Table, provisional* cases of selected† notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.    NP:  Nationally notifiable but not published.  Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum.\r\n\r\n* Case counts for reporting year 2016 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. \r\n† Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions.', 'datatype': 'tabular', 'keywords': ['health', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Chlamydia-to-Coccidioidomycosis/n835-hpyp'}"
NNDSS - Table II. Chlamydia trachomatis infection to Coccidioidomycosis,5egk-p6rd,5egk-p6rd_1736728247.646604_NNDSS_-_Table_II._Chlamydia_trachomatis_infection_to_Coccidioidomycosis_20250113.csv.gz,2025-01-13 00:30:47 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Chlamydia-trachomatis-infection-to-/5egk-p6rd,"NNDSS - Table II. Chlamydia trachomatis infection to Coccidioidomycosis - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.

Note:

This table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html 

Footnotes:

C.N.M.I.: Commonwealth of Northern Mariana Islands. 
U: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. 

* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.",,"{'name': 'NNDSS - Table II. Chlamydia trachomatis infection to Coccidioidomycosis', 'id': '5egk-p6rd', 'description': 'NNDSS - Table II. Chlamydia trachomatis infection to Coccidioidomycosis - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.\r\n\r\nNote:\r\n\r\nThis table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html \r\n\r\nFootnotes:\r\n\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Chlamydia-trachomatis-infection-to-/5egk-p6rd'}"
NNDSS - Table II. Cryptosporidiosis to Dengue,9n3x-apcd,9n3x-apcd_1736721409.878710_NNDSS_-_Table_II._Cryptosporidiosis_to_Dengue_20250112.csv.gz,2025-01-12 22:36:49 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Cryptosporidiosis-to-Dengue/9n3x-apcd,"NNDSS - Table II. Cryptosporidiosis to Dengue - 2015.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed.The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.    NP: Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year 2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. �� Data for dengue-like illness will be included in this table after the CDC obtains Office of Management and Budget (OMB) Paperwork Reduction Act (PRA) to receive data for this condition.",,"{'name': 'NNDSS - Table II. Cryptosporidiosis to Dengue', 'id': '9n3x-apcd', 'description': 'NNDSS - Table II. Cryptosporidiosis to Dengue - 2015.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed.The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.    NP: Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year 2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. �� Data for dengue-like illness will be included in this table after the CDC obtains Office of Management and Budget (OMB) Paperwork Reduction Act (PRA) to receive data for this condition.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Cryptosporidiosis-to-Dengue/9n3x-apcd'}"
NNDSS - Table II. Cryptosporidiosis to Dengue,kikd-77zw,kikd-77zw_1736721279.444763_NNDSS_-_Table_II._Cryptosporidiosis_to_Dengue_20250112.csv.gz,2025-01-12 22:34:39 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Cryptosporidiosis-to-Dengue/kikd-77zw,"NNDSS - Table II. Cryptosporidiosis to Dengue - 2016.  In this Table, provisional* cases of selected† notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.

Note:
These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. 

Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. 

Footnotes:
C.N.M.I.: Commonwealth of Northern Mariana Islands. 
U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.    NP:  Nationally notifiable but not published.  Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum.

* Case counts for reporting year 2016 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.   Data for TB are displayed in Table IV, which appears quarterly. 
† Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. 
§ Includes data for dengue and dengue-like illness. Office of Management and Budget approval of the NNDSS Revision #0920-0728 on January 21, 2016, authorized CDC to receive data for these conditions. CDC is in the process of soliciting data for these conditions.",,"{'name': 'NNDSS - Table II. Cryptosporidiosis to Dengue', 'id': 'kikd-77zw', 'description': 'NNDSS - Table II. Cryptosporidiosis to Dengue - 2016.  In this Table, provisional* cases of selected† notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\n\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.    NP:  Nationally notifiable but not published.  Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum.\r\n\r\n* Case counts for reporting year 2016 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.   Data for TB are displayed in Table IV, which appears quarterly. \r\n† Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. \r\n§ Includes data for dengue and dengue-like illness. Office of Management and Budget approval of the NNDSS Revision #0920-0728 on January 21, 2016, authorized CDC to receive data for these conditions. CDC is in the process of soliciting data for these conditions.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Cryptosporidiosis-to-Dengue/kikd-77zw'}"
NNDSS - Table II. Cryptosporidiosis to Dengue,yakh-mjxn,yakh-mjxn_1736720127.736149_NNDSS_-_Table_II._Cryptosporidiosis_to_Dengue_20250112.csv.gz,2025-01-12 22:15:27 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Cryptosporidiosis-to-Dengue/yakh-mjxn,"NNDSS - Table II. Cryptosporidiosis to Dengue - 2017.  In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.

Note:
These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. 

Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. 

Footnotes:
 C.N.M.I.: Commonwealth of Northern Mariana Islands. 

U: Unavailable. —: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. 

* Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. 

† Case counts for reporting year 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for tuberculosis are displayed in Table IV, which appears quarterly.

§ Includes data for dengue and dengue-like illness.",,"{'name': 'NNDSS - Table II. Cryptosporidiosis to Dengue', 'id': 'yakh-mjxn', 'description': 'NNDSS - Table II. Cryptosporidiosis to Dengue - 2017.  In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\n\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\n C.N.M.I.: Commonwealth of Northern Mariana Islands. \r\n\r\nU: Unavailable. —: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n* Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. \r\n\r\n† Case counts for reporting year 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for tuberculosis are displayed in Table IV, which appears quarterly.\r\n\r\n§ Includes data for dengue and dengue-like illness.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Cryptosporidiosis-to-Dengue/yakh-mjxn'}"
NNDSS - Table II. Cryptosporidiosis to Dengue Hemorrhagic Fever,b36e-ru3r,b36e-ru3r_1736715592.173157_NNDSS_-_Table_II._Cryptosporidiosis_to_Dengue_Hemorrhagic_Fever_20250112.csv.gz,2025-01-12 20:59:52 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Cryptosporidiosis-to-Dengue-Hemorrh/b36e-ru3r,"NNDSS - Table II. Cryptosporidiosis to Dengue Hemorrhagic Fever - 2014.In this Table, all conditions with a 5-year average annual national total of more than or equals 1,000 cases but less than or equals 10,000 cases will be displayed (��� 1,000 and ��_ 10,000). The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Case counts for reporting years 2013 and 2014 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. ��� Dengue Fever includes cases that meet criteria for Dengue Fever with hemorrhage, other clinical, and unknown case classifications. �� DHF includes cases that meet criteria for dengue shock syndrome (DSS), a more severe form of DHF.More information on NNDSS is available at http://wwwn.cdc.gov/nndss/.",,"{'name': 'NNDSS - Table II. Cryptosporidiosis to Dengue Hemorrhagic Fever', 'id': 'b36e-ru3r', 'description': 'NNDSS - Table II. Cryptosporidiosis to Dengue Hemorrhagic Fever - 2014.In this Table, all conditions with a 5-year average annual national total of more than or equals 1,000 cases but less than or equals 10,000 cases will be displayed (��� 1,000 and ��_ 10,000). The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Case counts for reporting years 2013 and 2014 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. ��� Dengue Fever includes cases that meet criteria for Dengue Fever with hemorrhage, other clinical, and unknown case classifications. �� DHF includes cases that meet criteria for dengue shock syndrome (DSS), a more severe form of DHF.More information on NNDSS is available at http://wwwn.cdc.gov/nndss/.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Cryptosporidiosis-to-Dengue-Hemorrh/b36e-ru3r'}"
NNDSS - Table II. Cryptosporidiosis to Dengue virus infection,fhc9-h3em,fhc9-h3em_1736729561.122548_NNDSS_-_Table_II._Cryptosporidiosis_to_Dengue_virus_infection_20250113.csv.gz,2025-01-13 00:52:41 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Cryptosporidiosis-to-Dengue-virus-i/fhc9-h3em,"NNDSS - Table II. Cryptosporidiosis to Dengue virus infection - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.

Note:

This table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html 

Footnotes:

C.N.M.I.: Commonwealth of Northern Mariana Islands. 	
U: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. 

* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.  

† Includes data for dengue and dengue-like illness.",,"{'name': 'NNDSS - Table II. Cryptosporidiosis to Dengue virus infection', 'id': 'fhc9-h3em', 'description': 'NNDSS - Table II. Cryptosporidiosis to Dengue virus infection - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.\r\n\r\nNote:\r\n\r\nThis table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html \r\n\r\nFootnotes:\r\n\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \t\r\nU: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.  \r\n\r\n† Includes data for dengue and dengue-like illness.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Cryptosporidiosis-to-Dengue-virus-i/fhc9-h3em'}"
NNDSS - Table II. Ehrlichiosis and Anaplasmosis,gz3p-wzwf,gz3p-wzwf_1736721211.428868_NNDSS_-_Table_II._Ehrlichiosis_and_Anaplasmosis_20250112.csv.gz,2025-01-12 22:33:31 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Ehrlichiosis-and-Anaplasmosis/gz3p-wzwf,"NNDSS - Table II. Ehrlichiosis and Anaplasmosis - 2017.  In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. 

Note:
These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. 

Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. 

Footnotes:
 C.N.M.I.: Commonwealth of Northern Mariana Islands. 

 U: Unavailable. —: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. 

 *Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. 

† Case counts for reporting year 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for tuberculosis are displayed in Table IV, which appears quarterly.

§ Please refer to the MMWR publication for weekly updates to the footnote for this condition.",,"{'name': 'NNDSS - Table II. Ehrlichiosis and Anaplasmosis', 'id': 'gz3p-wzwf', 'description': 'NNDSS - Table II. Ehrlichiosis and Anaplasmosis - 2017.  In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. \r\n\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\n C.N.M.I.: Commonwealth of Northern Mariana Islands. \r\n\r\n U: Unavailable. —: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n *Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. \r\n\r\n† Case counts for reporting year 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for tuberculosis are displayed in Table IV, which appears quarterly.\r\n\r\n§ Please refer to the MMWR publication for weekly updates to the footnote for this condition.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Ehrlichiosis-and-Anaplasmosis/gz3p-wzwf'}"
"NNDSS - Table II. Ehrlichiosis and Anaplasmosis, Anaplasma phagocytophilum infection to Ehrlichia chaffeensis infection",5pe9-px25,5pe9-px25_1736732393.711533_NNDSS_-_Table_II._Ehrlichiosis_and_Anaplasmosis__Anaplasma_phagocytophilum_infection_to_Ehrlichia_chaffeensis_infection_20250113.csv.gz,2025-01-13 01:39:53 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Ehrlichiosis-and-Anaplasmosis-Anapl/5pe9-px25,"NNDSS - Table II. Ehrlichiosis and Anaplasmosis, Anaplasma phagocytophilum infection to Ehrlichia chaffeensis infection - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.

Note:

This table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html 

Footnotes:

C.N.M.I.: Commonwealth of Northern Mariana Islands. 
U: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. 

* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.",,"{'name': 'NNDSS - Table II. Ehrlichiosis and Anaplasmosis, Anaplasma phagocytophilum infection to Ehrlichia chaffeensis infection', 'id': '5pe9-px25', 'description': 'NNDSS - Table II. Ehrlichiosis and Anaplasmosis, Anaplasma phagocytophilum infection to Ehrlichia chaffeensis infection - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.\r\n\r\nNote:\r\n\r\nThis table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html \r\n\r\nFootnotes:\r\n\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Ehrlichiosis-and-Anaplasmosis-Anapl/5pe9-px25'}"
"NNDSS - Table II. Ehrlichiosis and Anaplasmosis, Ehrlichia ewingii infection to Undetermined",cucp-zsht,cucp-zsht_1736732640.720693_NNDSS_-_Table_II._Ehrlichiosis_and_Anaplasmosis__Ehrlichia_ewingii_infection_to_Undetermined_20250113.csv.gz,2025-01-13 01:44:00 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Ehrlichiosis-and-Anaplasmosis-Ehrli/cucp-zsht,"NNDSS - Table II. Ehrlichiosis and Anaplasmosis, Ehrlichia ewingii infection to Undetermined - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.

Note:

This table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html 

Footnotes:

C.N.M.I.: Commonwealth of Northern Mariana Islands. 
U: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. 

* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.",,"{'name': 'NNDSS - Table II. Ehrlichiosis and Anaplasmosis, Ehrlichia ewingii infection to Undetermined', 'id': 'cucp-zsht', 'description': 'NNDSS - Table II. Ehrlichiosis and Anaplasmosis, Ehrlichia ewingii infection to Undetermined - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.\r\n\r\nNote:\r\n\r\nThis table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html \r\n\r\nFootnotes:\r\n\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Ehrlichiosis-and-Anaplasmosis-Ehrli/cucp-zsht'}"
NNDSS - Table II. Ehrlichiosis/Anaplasmosis,edtz-vibe,edtz-vibe_1736717279.814124_NNDSS_-_Table_II._Ehrlichiosis_Anaplasmosis_20250112.csv.gz,2025-01-12 21:27:59 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Ehrlichiosis-Anaplasmosis/edtz-vibe,"NNDSS - Table II. Ehrlichiosis/Anaplasmosis - 2014.In this Table, all conditions with a 5-year average annual national total of more than or equals 1,000 cases but less than or equals 10,000 cases will be displayed (��� 1,000 and ��_ 10,000). The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Case counts for reporting years 2013 and 2014 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. ��� Please refer to the MMWR publication for weekly updates to the footnote for this condition.More information on NNDSS is available at http://wwwn.cdc.gov/nndss/.",,"{'name': 'NNDSS - Table II. Ehrlichiosis/Anaplasmosis', 'id': 'edtz-vibe', 'description': 'NNDSS - Table II. Ehrlichiosis/Anaplasmosis - 2014.In this Table, all conditions with a 5-year average annual national total of more than or equals 1,000 cases but less than or equals 10,000 cases will be displayed (��� 1,000 and ��_ 10,000). The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Case counts for reporting years 2013 and 2014 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. ��� Please refer to the MMWR publication for weekly updates to the footnote for this condition.More information on NNDSS is available at http://wwwn.cdc.gov/nndss/.', 'datatype': 'tabular', 'keywords': ['health', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Ehrlichiosis-Anaplasmosis/edtz-vibe'}"
NNDSS - Table II. Ehrlichiosis/Anaplasmosis,j9id-xrm6,j9id-xrm6_1736722635.806528_NNDSS_-_Table_II._Ehrlichiosis_Anaplasmosis_20250112.csv.gz,2025-01-12 22:57:15 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Ehrlichiosis-Anaplasmosis/j9id-xrm6,"NNDSS - Table II. Ehrlichiosis/Anaplasmosis - 2015.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.   NP:  Nationally notifiable but not published.   Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year 2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. �� Cumulative total E. ewingii cases reported for year 2015 = 0, and 14 cases reported for 2014.",,"{'name': 'NNDSS - Table II. Ehrlichiosis/Anaplasmosis', 'id': 'j9id-xrm6', 'description': 'NNDSS - Table II. Ehrlichiosis/Anaplasmosis - 2015.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.   NP:  Nationally notifiable but not published.   Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year 2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. �� Cumulative total E. ewingii cases reported for year 2015 = 0, and 14 cases reported for 2014.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Ehrlichiosis-Anaplasmosis/j9id-xrm6'}"
NNDSS - Table II. Ehrlichiosis/Anaplasmosis,keia-pvvn,keia-pvvn_1736724708.920739_NNDSS_-_Table_II._Ehrlichiosis_Anaplasmosis_20250112.csv.gz,2025-01-12 23:31:48 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Ehrlichiosis-Anaplasmosis/keia-pvvn,"NNDSS - Table II. Ehrlichiosis/Anaplasmosis - 2016.  In this Table, provisional* cases of selected† notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. 

Note:
These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. 

Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. 

Footnotes:
C.N.M.I.: Commonwealth of Northern Mariana Islands. 
U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.   NP:  Nationally notifiable but not published.   Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum.
 
* Case counts for reporting year 2016 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. 
† Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. 
§ Please refer to the MMWR publication for weekly updates to the footnote for this condition.",,"{'name': 'NNDSS - Table II. Ehrlichiosis/Anaplasmosis', 'id': 'keia-pvvn', 'description': 'NNDSS - Table II. Ehrlichiosis/Anaplasmosis - 2016.  In this Table, provisional* cases of selected† notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. \r\n\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.   NP:  Nationally notifiable but not published.   Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum.\r\n \r\n* Case counts for reporting year 2016 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. \r\n† Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. \r\n§ Please refer to the MMWR publication for weekly updates to the footnote for this condition.', 'datatype': 'tabular', 'keywords': ['health', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Ehrlichiosis-Anaplasmosis/keia-pvvn'}"
NNDSS - Table II. Giardiasis to Haemophilus influenza,9ix3-ryt6,9ix3-ryt6_1736711026.379624_NNDSS_-_Table_II._Giardiasis_to_Haemophilus_influenza_20250112.csv.gz,2025-01-12 19:43:46 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Giardiasis-to-Haemophilus-influenza/9ix3-ryt6,"NNDSS - Table II. Giardiasis to Haemophilus influenza - 2014.
In this Table, all conditions with a 5-year average annual national total of more than or equals 1,000 cases but less than or equals 10,000 cases will be displayed (≥ 1,000 and ≤ 10,000). The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. 

Note:
These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. 

Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. 

Footnotes:
C.N.M.I.: Commonwealth of Northern Mariana Islands. 
U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. 
* Case counts for reporting years 2013 and 2014 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. 
† Data for H. influenzae (age <5 yrs serotype b, nonserotype b, and unknown serotype) are available in Table I.

More information on NNDSS is available at http://wwwn.cdc.gov/nndss/.",,"{'name': 'NNDSS - Table II. Giardiasis to Haemophilus influenza', 'id': '9ix3-ryt6', 'description': 'NNDSS - Table II. Giardiasis to Haemophilus influenza - 2014.\r\nIn this Table, all conditions with a 5-year average annual national total of more than or equals 1,000 cases but less than or equals 10,000 cases will be displayed (≥ 1,000 and ≤ 10,000). The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. \r\n\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. \r\n* Case counts for reporting years 2013 and 2014 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. \r\n† Data for H. influenzae (age <5 yrs serotype b, nonserotype b, and unknown serotype) are available in Table I.\r\n\r\nMore information on NNDSS is available at http://wwwn.cdc.gov/nndss/.', 'datatype': 'tabular', 'keywords': ['finance', 'health', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Giardiasis-to-Haemophilus-influenza/9ix3-ryt6'}"
NNDSS - Table II. Giardiasis to Haemophilus influenza,afja-b25e,afja-b25e_1736721144.002966_NNDSS_-_Table_II._Giardiasis_to_Haemophilus_influenza_20250112.csv.gz,2025-01-12 22:32:24 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Giardiasis-to-Haemophilus-influenza/afja-b25e,"NNDSS - Table II. Giardiasis to Haemophilus influenza - 2016.  In this Table, provisional* cases of selected† notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.
Note:
These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. 

Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. 

Footnotes:
C.N.M.I.: Commonwealth of Northern Mariana Islands. 
U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.  NP:  Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum.

* Case counts for reporting year 2016 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. 
† Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. 
§ Data for H. influenzae (age <5 years for serotype b, nonserotype b, and unknown serotype) are available in Table I.",,"{'name': 'NNDSS - Table II. Giardiasis to Haemophilus influenza', 'id': 'afja-b25e', 'description': 'NNDSS - Table II. Giardiasis to Haemophilus influenza - 2016.  In this Table, provisional* cases of selected† notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.  NP:  Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum.\r\n\r\n* Case counts for reporting year 2016 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. \r\n† Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. \r\n§ Data for H. influenzae (age <5 years for serotype b, nonserotype b, and unknown serotype) are available in Table I.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Giardiasis-to-Haemophilus-influenza/afja-b25e'}"
NNDSS - Table II. Giardiasis to Haemophilus influenza,irpc-yf8f,irpc-yf8f_1736715944.633684_NNDSS_-_Table_II._Giardiasis_to_Haemophilus_influenza_20250112.csv.gz,2025-01-12 21:05:44 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Giardiasis-to-Haemophilus-influenza/irpc-yf8f,"NNDSS - Table II. Giardiasis to Haemophilus influenza - 2017.  In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.

Note:
These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. 

Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. 

Footnotes:
 C.N.M.I.: Commonwealth of Northern Mariana Islands. 

U: Unavailable. —: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. 

*Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. 

† Case counts for reporting year 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for tuberculosis are displayed in Table IV, which appears quarterly.

§ Data for Haemophilus influenzae (age <5 for serotype b, nontypeable, non-b serotype, and unknown serotype) are available in Table I.",,"{'name': 'NNDSS - Table II. Giardiasis to Haemophilus influenza', 'id': 'irpc-yf8f', 'description': 'NNDSS - Table II. Giardiasis to Haemophilus influenza - 2017.  In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\n\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\n C.N.M.I.: Commonwealth of Northern Mariana Islands. \r\n\r\nU: Unavailable. —: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n*Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. \r\n\r\n† Case counts for reporting year 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for tuberculosis are displayed in Table IV, which appears quarterly.\r\n\r\n§ Data for Haemophilus influenzae (age <5 for serotype b, nontypeable, non-b serotype, and unknown serotype) are available in Table I.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Giardiasis-to-Haemophilus-influenza/irpc-yf8f'}"
NNDSS - Table II. Giardiasis to Haemophilus influenza,m6gf-vfkz,m6gf-vfkz_1736728040.716737_NNDSS_-_Table_II._Giardiasis_to_Haemophilus_influenza_20250113.csv.gz,2025-01-13 00:27:20 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Giardiasis-to-Haemophilus-influenza/m6gf-vfkz,"NNDSS - Table II. Giardiasis to Haemophilus influenza - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.

Note:

This table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.
 
Footnotes:

C.N.M.I.: Commonwealth of Northern Mariana Islands. 
U: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. 

* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.",,"{'name': 'NNDSS - Table II. Giardiasis to Haemophilus influenza', 'id': 'm6gf-vfkz', 'description': 'NNDSS - Table II. Giardiasis to Haemophilus influenza - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.\r\n\r\nNote:\r\n\r\nThis table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.\r\n \r\nFootnotes:\r\n\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Giardiasis-to-Haemophilus-influenza/m6gf-vfkz'}"
NNDSS - Table II. Giardiasis to Haemophilus influenza,mpdg-hf57,mpdg-hf57_1736720840.559873_NNDSS_-_Table_II._Giardiasis_to_Haemophilus_influenza_20250112.csv.gz,2025-01-12 22:27:20 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Giardiasis-to-Haemophilus-influenza/mpdg-hf57,"NNDSS - Table II. Giardiasis to Haemophilus influenza - 2015.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.    NP: Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year 2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. �� Data for H. influenzae (age <5 years for serotype b, nonserotype b, and unknown serotype) are available in Table I.",,"{'name': 'NNDSS - Table II. Giardiasis to Haemophilus influenza', 'id': 'mpdg-hf57', 'description': 'NNDSS - Table II. Giardiasis to Haemophilus influenza - 2015.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.    NP: Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year 2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. �� Data for H. influenzae (age <5 years for serotype b, nonserotype b, and unknown serotype) are available in Table I.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Giardiasis-to-Haemophilus-influenza/mpdg-hf57'}"
"NNDSS - Table II. Hepatitis (viral, acute)",65xe-6neq,65xe-6neq_1736720446.033626_NNDSS_-_Table_II._Hepatitis__viral__acute__20250112.csv.gz,2025-01-12 22:20:46 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Hepatitis-viral-acute-/65xe-6neq,"NNDSS - Table II. Hepatitis (viral, acute) - 2015.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed.The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.    NP: Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year 2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly.",,"{'name': 'NNDSS - Table II. Hepatitis (viral, acute)', 'id': '65xe-6neq', 'description': 'NNDSS - Table II. Hepatitis (viral, acute) - 2015.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed.The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.    NP: Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year 2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Hepatitis-viral-acute-/65xe-6neq'}"
"NNDSS - Table II. Hepatitis (viral, acute)",7vnz-2mjz,7vnz-2mjz_1736718146.785437_NNDSS_-_Table_II._Hepatitis__viral__acute__20250112.csv.gz,2025-01-12 21:42:26 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Hepatitis-viral-acute-/7vnz-2mjz,"NNDSS - Table II. Hepatitis (viral, acute) - 2016. In this Table, provisional* cases of selected† notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed.  The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.
Note:
These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. 

Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. 

Footnotes:
C.N.M.I.: Commonwealth of Northern Mariana Islands. 
U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.  NP:  Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum.

 * Case counts for reporting year 2016 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. 
 † Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions.","<https://data.cdc.gov/NNDSS/NNDSS-Table-II-Hepatitis-viral-acute-/7vnz-2mjz>; rel=""original"",
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<http://web.archive.org/web/20250212205254/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Hepatitis-viral-acute-/7vnz-2mjz>; rel=""memento""; datetime=""Wed, 12 Feb 2025 20:52:54 GMT""
","{'name': 'NNDSS - Table II. Hepatitis (viral, acute)', 'id': '7vnz-2mjz', 'description': 'NNDSS - Table II. Hepatitis (viral, acute) - 2016. In this Table, provisional* cases of selected† notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed.  The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.  NP:  Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum.\r\n\r\n * Case counts for reporting year 2016 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. \r\n † Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Hepatitis-viral-acute-/7vnz-2mjz'}"
"NNDSS - Table II. Hepatitis (viral, acute)",rg4j-6mcc,rg4j-6mcc_1736712076.573127_NNDSS_-_Table_II._Hepatitis__viral__acute__20250112.csv.gz,2025-01-12 20:01:16 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Hepatitis-viral-acute-/rg4j-6mcc,"NNDSS - Table II. Hepatitis (viral, acute) - 2014.In this Table, all conditions with a 5-year average annual national total of more than or equals 1,000 cases but less than or equals 10,000 cases will be displayed (��� 1,000 and ��_ 10,000). The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Case counts for reporting years 2013 and 2014 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly.More information on NNDSS is available at http://wwwn.cdc.gov/nndss/.",,"{'name': 'NNDSS - Table II. Hepatitis (viral, acute)', 'id': 'rg4j-6mcc', 'description': 'NNDSS - Table II. Hepatitis (viral, acute) - 2014.In this Table, all conditions with a 5-year average annual national total of more than or equals 1,000 cases but less than or equals 10,000 cases will be displayed (��� 1,000 and ��_ 10,000). The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Case counts for reporting years 2013 and 2014 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly.More information on NNDSS is available at http://wwwn.cdc.gov/nndss/.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Hepatitis-viral-acute-/rg4j-6mcc'}"
"NNDSS - Table II. Hepatitis (viral, acute) A & B",vxsn-2csw,vxsn-2csw_1736715863.292383_NNDSS_-_Table_II._Hepatitis__viral__acute__A___B_20250112.csv.gz,2025-01-12 21:04:23 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Hepatitis-viral-acute-A-B/vxsn-2csw,"NNDSS - Table II. Hepatitis (viral, acute) A & B - 2017.  In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.

Note:
These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. 

Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. 

Footnotes:
 C.N.M.I.: Commonwealth of Northern Mariana Islands. 

U: Unavailable. —: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. 

*Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. 

† Case counts for reporting year 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for tuberculosis are displayed in Table IV, which appears quarterly.",,"{'name': 'NNDSS - Table II. Hepatitis (viral, acute) A & B', 'id': 'vxsn-2csw', 'description': 'NNDSS - Table II. Hepatitis (viral, acute) A & B - 2017.  In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\n\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\n C.N.M.I.: Commonwealth of Northern Mariana Islands. \r\n\r\nU: Unavailable. —: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n*Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. \r\n\r\n† Case counts for reporting year 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for tuberculosis are displayed in Table IV, which appears quarterly.', 'datatype': 'tabular', 'keywords': ['health', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Hepatitis-viral-acute-A-B/vxsn-2csw'}"
"NNDSS - Table II. Hepatitis (viral, acute) C",swv3-ghj7,swv3-ghj7_1736714779.786286_NNDSS_-_Table_II._Hepatitis__viral__acute__C_20250112.csv.gz,2025-01-12 20:46:19 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Hepatitis-viral-acute-C/swv3-ghj7,"NNDSS - Table II. Hepatitis (viral, acute) C - 2017. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed.  The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.

Note:
These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. 

Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. 

Footnotes:
 C.N.M.I.: Commonwealth of Northern Mariana Islands. 

 U: Unavailable. —: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. 

 *Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. 

† Case counts for reporting year 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for tuberculosis are displayed in Table IV, which appears quarterly.

§ Based on the CSTE Position Statement 15-ID-03: Revision of the Case Definition of Hepatitis C for National Notification, acute hepatitis C is now reported by case classification status.",,"{'name': 'NNDSS - Table II. Hepatitis (viral, acute) C', 'id': 'swv3-ghj7', 'description': 'NNDSS - Table II. Hepatitis (viral, acute) C - 2017. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed.  The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\n\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\n C.N.M.I.: Commonwealth of Northern Mariana Islands. \r\n\r\n U: Unavailable. —: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n *Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. \r\n\r\n† Case counts for reporting year 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for tuberculosis are displayed in Table IV, which appears quarterly.\r\n\r\n§ Based on the CSTE Position Statement 15-ID-03: Revision of the Case Definition of Hepatitis C for National Notification, acute hepatitis C is now reported by case classification status.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Hepatitis-viral-acute-C/swv3-ghj7'}"
"NNDSS - Table II. Hepatitis (viral, acute, by type) A & B",btcp-84tv,btcp-84tv_1736726925.441834_NNDSS_-_Table_II._Hepatitis__viral__acute__by_type__A___B_20250113.csv.gz,2025-01-13 00:08:45 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Hepatitis-viral-acute-by-type-A-B/btcp-84tv,"NNDSS - Table II. Hepatitis (viral, acute, by type) A & B - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.

Note:

This table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.
 
Footnotes:

C.N.M.I.: Commonwealth of Northern Mariana Islands. 
U: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. 

* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.  

† Perinatal hepatitis C cases are not included in this table. These data will be included in the annual NNDSS tables on the NNDSS Data and Statistics page (https://wwwn.cdc.gov/nndss/data-and-statistics.html) beginning with data year 2018 and in the annual Summary of Viral Hepatitis, published online by CDC's Division of Viral Hepatitis, available at https://www.cdc.gov/hepatitis/statistics/2015surveillance/index.htm.",,"{'name': 'NNDSS - Table II. Hepatitis (viral, acute, by type) A & B', 'id': 'btcp-84tv', 'description': ""NNDSS - Table II. Hepatitis (viral, acute, by type) A & B - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.\r\n\r\nNote:\r\n\r\nThis table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.\r\n \r\nFootnotes:\r\n\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.  \r\n\r\n† Perinatal hepatitis C cases are not included in this table. These data will be included in the annual NNDSS tables on the NNDSS Data and Statistics page (https://wwwn.cdc.gov/nndss/data-and-statistics.html) beginning with data year 2018 and in the annual Summary of Viral Hepatitis, published online by CDC's Division of Viral Hepatitis, available at https://www.cdc.gov/hepatitis/statistics/2015surveillance/index.htm."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Hepatitis-viral-acute-by-type-A-B/btcp-84tv'}"
"NNDSS - Table II. Hepatitis (viral, acute, by type) C",x2iq-5477,x2iq-5477_1736727460.640972_NNDSS_-_Table_II._Hepatitis__viral__acute__by_type__C_20250113.csv.gz,2025-01-13 00:17:40 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Hepatitis-viral-acute-by-type-C/x2iq-5477,"NNDSS - Table II. Hepatitis (viral, acute, by type) C - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.

Note:

This table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.
 
Footnotes:

C.N.M.I.: Commonwealth of Northern Mariana Islands. 
U: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. 

* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.  

† For acute Hepatitis C, only confirmed cases were verified.","<https://data.cdc.gov/NNDSS/NNDSS-Table-II-Hepatitis-viral-acute-by-type-C/x2iq-5477>; rel=""original"",
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<http://web.archive.org/web/20250210122752/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Hepatitis-viral-acute-by-type-C/x2iq-5477/>; rel=""memento""; datetime=""Mon, 10 Feb 2025 12:27:52 GMT""
","{'name': 'NNDSS - Table II. Hepatitis (viral, acute, by type) C', 'id': 'x2iq-5477', 'description': 'NNDSS - Table II. Hepatitis (viral, acute, by type) C - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.\r\n\r\nNote:\r\n\r\nThis table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.\r\n \r\nFootnotes:\r\n\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.  \r\n\r\n† For acute Hepatitis C, only confirmed cases were verified.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Hepatitis-viral-acute-by-type-C/x2iq-5477'}"
"NNDSS - Table II. Invasive Pneumococcal Diseases, Age <5",9yc3-yir3,9yc3-yir3_1736726046.166443_NNDSS_-_Table_II._Invasive_Pneumococcal_Diseases__Age__5_20250112.csv.gz,2025-01-12 23:54:06 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Invasive-Pneumococcal-Diseases-Age-/9yc3-yir3,"NNDSS - Table II. Invasive Pneumococcal Diseases, Age <5 - 2017. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.

Note:
These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. 

Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. 

Footnotes:
 C.N.M.I.: Commonwealth of Northern Mariana Islands. 

 U: Unavailable. —: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. 

*Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. 

† Case counts for reporting years 2016 and 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for tuberculosis are displayed in Table IV, which appears quarterly.

§ Includes drug resistant and susceptible cases of Invasive Pneumococcal Disease. This condition was previously named Streptococcus pneumoniae invasive disease and cases were reported to CDC using different event codes to specify whether the cases were drug resistant or in a defined age group, such as <5 years.",,"{'name': 'NNDSS - Table II. Invasive Pneumococcal Diseases, Age <5', 'id': '9yc3-yir3', 'description': 'NNDSS - Table II. Invasive Pneumococcal Diseases, Age <5 - 2017. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\n\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\n C.N.M.I.: Commonwealth of Northern Mariana Islands. \r\n\r\n U: Unavailable. —: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n*Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. \r\n\r\n† Case counts for reporting years 2016 and 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for tuberculosis are displayed in Table IV, which appears quarterly.\r\n\r\n§ Includes drug resistant and susceptible cases of Invasive Pneumococcal Disease. This condition was previously named Streptococcus pneumoniae invasive disease and cases were reported to CDC using different event codes to specify whether the cases were drug resistant or in a defined age group, such as <5 years.', 'datatype': 'tabular', 'keywords': ['health', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Invasive-Pneumococcal-Diseases-Age-/9yc3-yir3'}"
"NNDSS - Table II. Invasive Pneumococcal Diseases, All Ages",mbsb-z5f8,mbsb-z5f8_1736719735.790603_NNDSS_-_Table_II._Invasive_Pneumococcal_Diseases__All_Ages_20250112.csv.gz,2025-01-12 22:08:55 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Invasive-Pneumococcal-Diseases-All-/mbsb-z5f8,"NNDSS - Table II. Invasive Pneumococcal Diseases, All Ages - 2017. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.

Note:
These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. 

Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. 

Footnotes:
 C.N.M.I.: Commonwealth of Northern Mariana Islands. 

 U: Unavailable. —: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. 

*Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. 

† Case counts for reporting year 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for tuberculosis are displayed in Table IV, which appears quarterly.

§ Includes drug resistant and susceptible cases of Invasive Pneumococcal Disease. This condition was previously named Streptococcus pneumoniae invasive disease and cases were reported to CDC using different event codes to specify whether the cases were drug resistant or in a defined age group, such as <5 years.",,"{'name': 'NNDSS - Table II. Invasive Pneumococcal Diseases, All Ages', 'id': 'mbsb-z5f8', 'description': 'NNDSS - Table II. Invasive Pneumococcal Diseases, All Ages - 2017. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\n\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\n C.N.M.I.: Commonwealth of Northern Mariana Islands. \r\n\r\n U: Unavailable. —: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n*Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. \r\n\r\n† Case counts for reporting year 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for tuberculosis are displayed in Table IV, which appears quarterly.\r\n\r\n§ Includes drug resistant and susceptible cases of Invasive Pneumococcal Disease. This condition was previously named Streptococcus pneumoniae invasive disease and cases were reported to CDC using different event codes to specify whether the cases were drug resistant or in a defined age group, such as <5 years.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Invasive-Pneumococcal-Diseases-All-/mbsb-z5f8'}"
NNDSS - Table II. Invasive Pneumococcal to Legionellosis,23gt-ssfe,23gt-ssfe_1736711345.694214_NNDSS_-_Table_II._Invasive_Pneumococcal_to_Legionellosis_20250112.csv.gz,2025-01-12 19:49:05 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Invasive-Pneumococcal-to-Legionello/23gt-ssfe,"NNDSS - Table II. Invasive Pneumococcal to Legionellosis - 2014.In this Table, all conditions with a 5-year average annual national total of more than or equals 1,000 cases but less than or equals 10,000 cases will be displayed (��� 1,000 and ��_ 10,000). The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Case counts for reporting years 2013 and 2014 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. ��� Includes drug resistant and susceptible cases of Invasive Pneumococcal Disease. This condition was previously named Streptococcus pneumoniae invasive disease and cases were reported to CDC using different event codes to specify whether the cases were drug resistant or in a defined age group, such as < 5 years. Since 2010, case notifications for this condition were consolidated under one event code for Invasive pneumococcal disease.More information on NNDSS is available at http://wwwn.cdc.gov/nndss/.","<https://data.cdc.gov/NNDSS/NNDSS-Table-II-Invasive-Pneumococcal-to-Legionello/23gt-ssfe>; rel=""original"",
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<http://web.archive.org/web/20250211220320/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Invasive-Pneumococcal-to-Legionello/23gt-ssfe>; rel=""memento""; datetime=""Tue, 11 Feb 2025 22:03:20 GMT"",
<http://web.archive.org/web/20250211220321/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Invasive-Pneumococcal-to-Legionello/23gt-ssfe>; rel=""memento""; datetime=""Tue, 11 Feb 2025 22:03:21 GMT""
","{'name': 'NNDSS - Table II. Invasive Pneumococcal to Legionellosis', 'id': '23gt-ssfe', 'description': 'NNDSS - Table II. Invasive Pneumococcal to Legionellosis - 2014.In this Table, all conditions with a 5-year average annual national total of more than or equals 1,000 cases but less than or equals 10,000 cases will be displayed (��� 1,000 and ��_ 10,000). The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Case counts for reporting years 2013 and 2014 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. ��� Includes drug resistant and susceptible cases of Invasive Pneumococcal Disease. This condition was previously named Streptococcus pneumoniae invasive disease and cases were reported to CDC using different event codes to specify whether the cases were drug resistant or in a defined age group, such as < 5 years. Since 2010, case notifications for this condition were consolidated under one event code for Invasive pneumococcal disease.More information on NNDSS is available at http://wwwn.cdc.gov/nndss/.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Invasive-Pneumococcal-to-Legionello/23gt-ssfe'}"
NNDSS - Table II. Invasive Pneumococcal to Legionellosis,ydsy-yh5w,ydsy-yh5w_1736721265.848421_NNDSS_-_Table_II._Invasive_Pneumococcal_to_Legionellosis_20250112.csv.gz,2025-01-12 22:34:25 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Invasive-Pneumococcal-to-Legionello/ydsy-yh5w,"NNDSS - Table II. Invasive Pneumococcal to Legionellosis - 2015.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.    NP: Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year 2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. �� Includes drug resistant and susceptible cases of Invasive Pneumococcal Disease. This condition was previously named Streptococcus pneumoniae invasive disease and cases were reported to CDC using different event codes to specify whether the cases were drug resistant or in a defined age group, such as <5 years. Since 2010, case notifications for this condition were consolidated under one event code for Invasive pneumococcal disease.",,"{'name': 'NNDSS - Table II. Invasive Pneumococcal to Legionellosis', 'id': 'ydsy-yh5w', 'description': 'NNDSS - Table II. Invasive Pneumococcal to Legionellosis - 2015.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.    NP: Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year 2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. �� Includes drug resistant and susceptible cases of Invasive Pneumococcal Disease. This condition was previously named Streptococcus pneumoniae invasive disease and cases were reported to CDC using different event codes to specify whether the cases were drug resistant or in a defined age group, such as <5 years. Since 2010, case notifications for this condition were consolidated under one event code for Invasive pneumococcal disease.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Invasive-Pneumococcal-to-Legionello/ydsy-yh5w'}"
NNDSS - Table II. Invasive Pneumococcal to Legionellosis,yqwx-bvu7,yqwx-bvu7_1736721793.890410_NNDSS_-_Table_II._Invasive_Pneumococcal_to_Legionellosis_20250112.csv.gz,2025-01-12 22:43:13 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Invasive-Pneumococcal-to-Legionello/yqwx-bvu7,"NNDSS - Table II. Invasive Pneumococcal to Legionellosis - 2016.  In this Table, provisional* cases of selected† notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.

Note:
These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. 

Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. 

Footnotes:
C.N.M.I.: Commonwealth of Northern Mariana Islands. 
U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.  NP:  Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum.

* Case counts for reporting year 2016 are provisional and subject to change.   For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. 
† Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. 
§ Includes drug resistant and susceptible cases of Invasive Pneumococcal Disease. This condition was previously named Streptococcus pneumoniae invasive disease and cases were reported to CDC using different event codes to specify whether the cases were drug resistant or in a defined age group, such as <5 years.",,"{'name': 'NNDSS - Table II. Invasive Pneumococcal to Legionellosis', 'id': 'yqwx-bvu7', 'description': 'NNDSS - Table II. Invasive Pneumococcal to Legionellosis - 2016.  In this Table, provisional* cases of selected† notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\n\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.  NP:  Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum.\r\n\r\n* Case counts for reporting year 2016 are provisional and subject to change.   For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. \r\n† Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. \r\n§ Includes drug resistant and susceptible cases of Invasive Pneumococcal Disease. This condition was previously named Streptococcus pneumoniae invasive disease and cases were reported to CDC using different event codes to specify whether the cases were drug resistant or in a defined age group, such as <5 years.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Invasive-Pneumococcal-to-Legionello/yqwx-bvu7'}"
"NNDSS - Table II. Invasive pneumococcal disease, age <5",mk6z-83q2,mk6z-83q2_1736733006.059502_NNDSS_-_Table_II._Invasive_pneumococcal_disease__age__5_20250113.csv.gz,2025-01-13 01:50:06 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Invasive-pneumococcal-disease-age-5/mk6z-83q2,"NNDSS - Table II. Invasive pneumococcal disease, age <5 - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.

Note:

This table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:

C.N.M.I.: Commonwealth of Northern Mariana Islands. 
U: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. 

* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.  

† Includes drug resistant and susceptible cases of invasive pneumococcal disease.",,"{'name': 'NNDSS - Table II. Invasive pneumococcal disease, age <5', 'id': 'mk6z-83q2', 'description': 'NNDSS - Table II. Invasive pneumococcal disease, age <5 - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.\r\n\r\nNote:\r\n\r\nThis table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\n\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.  \r\n\r\n† Includes drug resistant and susceptible cases of invasive pneumococcal disease.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Invasive-pneumococcal-disease-age-5/mk6z-83q2'}"
"NNDSS - Table II. Invasive pneumococcal disease, all ages",n24i-76tn,n24i-76tn_1736730914.058153_NNDSS_-_Table_II._Invasive_pneumococcal_disease__all_ages_20250113.csv.gz,2025-01-13 01:15:14 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Invasive-pneumococcal-disease-all-a/n24i-76tn,"NNDSS - Table II. Invasive pneumococcal disease, all ages - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.

Note:

This table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.
 
Footnotes:

C.N.M.I.: Commonwealth of Northern Mariana Islands. 
U: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum.
 
* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.  

† Includes drug resistant and susceptible cases of invasive pneumococcal disease.",,"{'name': 'NNDSS - Table II. Invasive pneumococcal disease, all ages', 'id': 'n24i-76tn', 'description': 'NNDSS - Table II. Invasive pneumococcal disease, all ages - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.\r\n\r\nNote:\r\n\r\nThis table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.\r\n \r\nFootnotes:\r\n\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum.\r\n \r\n* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.  \r\n\r\n† Includes drug resistant and susceptible cases of invasive pneumococcal disease.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Invasive-pneumococcal-disease-all-a/n24i-76tn'}"
NNDSS - Table II. Legionellosis to Malaria,33kn-dpz2,33kn-dpz2_1736714301.138766_NNDSS_-_Table_II._Legionellosis_to_Malaria_20250112.csv.gz,2025-01-12 20:38:21 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Legionellosis-to-Malaria/33kn-dpz2,"NNDSS - Table II. Legionellosis to Malaria - 2017. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.

Note:
These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. 

Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. 

Footnotes:
 C.N.M.I.: Commonwealth of Northern Mariana Islands. 

 U: Unavailable. —: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. 

*Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. 

† Case counts for reporting year 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for tuberculosis are displayed in Table IV, which appears quarterly.",,"{'name': 'NNDSS - Table II. Legionellosis to Malaria', 'id': '33kn-dpz2', 'description': 'NNDSS - Table II. Legionellosis to Malaria - 2017. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\n\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\n C.N.M.I.: Commonwealth of Northern Mariana Islands. \r\n\r\n U: Unavailable. —: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n*Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. \r\n\r\n† Case counts for reporting year 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for tuberculosis are displayed in Table IV, which appears quarterly.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Legionellosis-to-Malaria/33kn-dpz2'}"
NNDSS - Table II. Legionellosis to Malaria,acdz-tk8j,acdz-tk8j_1736727626.981374_NNDSS_-_Table_II._Legionellosis_to_Malaria_20250113.csv.gz,2025-01-13 00:20:26 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Legionellosis-to-Malaria/acdz-tk8j,"NNDSS - Table II. Legionellosis to Malaria - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.

Note:

This table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.
 
Footnotes:

C.N.M.I.: Commonwealth of Northern Mariana Islands. 
U: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum.
 
* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.","<https://data.cdc.gov/NNDSS/NNDSS-Table-II-Legionellosis-to-Malaria/acdz-tk8j>; rel=""original"",
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<http://web.archive.org/web/20211028145902/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Legionellosis-to-Malaria/acdz-tk8j>; rel=""memento""; datetime=""Thu, 28 Oct 2021 14:59:02 GMT"",
<http://web.archive.org/web/20220527221207/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Legionellosis-to-Malaria/acdz-tk8j>; rel=""memento""; datetime=""Fri, 27 May 2022 22:12:07 GMT"",
<http://web.archive.org/web/20230601155231/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Legionellosis-to-Malaria/acdz-tk8j>; rel=""memento""; datetime=""Thu, 01 Jun 2023 15:52:31 GMT"",
<http://web.archive.org/web/20240221221440/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Legionellosis-to-Malaria/acdz-tk8j>; rel=""memento""; datetime=""Wed, 21 Feb 2024 22:14:40 GMT"",
<http://web.archive.org/web/20240615044321/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Legionellosis-to-Malaria/acdz-tk8j>; rel=""memento""; datetime=""Sat, 15 Jun 2024 04:43:21 GMT"",
<http://web.archive.org/web/20240721225555/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Legionellosis-to-Malaria/acdz-tk8j>; rel=""memento""; datetime=""Sun, 21 Jul 2024 22:55:55 GMT"",
<http://web.archive.org/web/20241003134837/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Legionellosis-to-Malaria/acdz-tk8j>; rel=""memento""; datetime=""Thu, 03 Oct 2024 13:48:37 GMT"",
<http://web.archive.org/web/20241113021353/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Legionellosis-to-Malaria/acdz-tk8j>; rel=""memento""; datetime=""Wed, 13 Nov 2024 02:13:53 GMT"",
<http://web.archive.org/web/20241122210202/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Legionellosis-to-Malaria/acdz-tk8j>; rel=""memento""; datetime=""Fri, 22 Nov 2024 21:02:02 GMT"",
<http://web.archive.org/web/20241127034420/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Legionellosis-to-Malaria/acdz-tk8j>; rel=""memento""; datetime=""Wed, 27 Nov 2024 03:44:20 GMT"",
<http://web.archive.org/web/20250201002509/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Legionellosis-to-Malaria/acdz-tk8j>; rel=""memento""; datetime=""Sat, 01 Feb 2025 00:25:09 GMT"",
<http://web.archive.org/web/20250201205015/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Legionellosis-to-Malaria/acdz-tk8j>; rel=""memento""; datetime=""Sat, 01 Feb 2025 20:50:15 GMT"",
<http://web.archive.org/web/20250202012040/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Legionellosis-to-Malaria/acdz-tk8j>; rel=""memento""; datetime=""Sun, 02 Feb 2025 01:20:40 GMT"",
<http://web.archive.org/web/20250202092049/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Legionellosis-to-Malaria/acdz-tk8j>; rel=""memento""; datetime=""Sun, 02 Feb 2025 09:20:49 GMT"",
<http://web.archive.org/web/20250202190714/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Legionellosis-to-Malaria/acdz-tk8j>; rel=""memento""; datetime=""Sun, 02 Feb 2025 19:07:14 GMT"",
<http://web.archive.org/web/20250206121413/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Legionellosis-to-Malaria/acdz-tk8j/>; rel=""memento""; datetime=""Thu, 06 Feb 2025 12:14:13 GMT"",
<http://web.archive.org/web/20250206121414/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Legionellosis-to-Malaria/acdz-tk8j>; rel=""memento""; datetime=""Thu, 06 Feb 2025 12:14:14 GMT"",
<http://web.archive.org/web/20250206121432/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Legionellosis-to-Malaria/acdz-tk8j>; rel=""memento""; datetime=""Thu, 06 Feb 2025 12:14:32 GMT""
","{'name': 'NNDSS - Table II. Legionellosis to Malaria', 'id': 'acdz-tk8j', 'description': 'NNDSS - Table II. Legionellosis to Malaria - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.\r\n\r\nNote:\r\n\r\nThis table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.\r\n \r\nFootnotes:\r\n\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum.\r\n \r\n* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Legionellosis-to-Malaria/acdz-tk8j'}"
NNDSS - Table II. Lyme disease to Meningococcal,7pb7-w9us,7pb7-w9us_1736718016.040329_NNDSS_-_Table_II._Lyme_disease_to_Meningococcal_20250112.csv.gz,2025-01-12 21:40:16 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/7pb7-w9us,"NNDSS - Table II. Lyme disease to Meningococcal - 2015.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed.The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.    NP: Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year 2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. �� Data for meningococcal disease, invasive caused by serogroups ACWY; serogroup B; other serogroup; and unknown serogroup are available in Table I.","<https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/7pb7-w9us>; rel=""original"",
<http://web.archive.org/web/timemap/link/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/7pb7-w9us>; rel=""self""; type=""application/link-format""; from=""Thu, 10 Sep 2015 09:09:35 GMT"",
<http://web.archive.org/web/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/7pb7-w9us>; rel=""timegate"",
<http://web.archive.org/web/20150910090935/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/7pb7-w9us>; rel=""first memento""; datetime=""Thu, 10 Sep 2015 09:09:35 GMT"",
<http://web.archive.org/web/20161229050357/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/7pb7-w9us>; rel=""memento""; datetime=""Thu, 29 Dec 2016 05:03:57 GMT"",
<http://web.archive.org/web/20201029220005/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/7pb7-w9us>; rel=""memento""; datetime=""Thu, 29 Oct 2020 22:00:05 GMT"",
<http://web.archive.org/web/20210115135527/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/7pb7-w9us>; rel=""memento""; datetime=""Fri, 15 Jan 2021 13:55:27 GMT"",
<http://web.archive.org/web/20210321080926/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/7pb7-w9us>; rel=""memento""; datetime=""Sun, 21 Mar 2021 08:09:26 GMT"",
<http://web.archive.org/web/20210508093813/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/7pb7-w9us>; rel=""memento""; datetime=""Sat, 08 May 2021 09:38:13 GMT"",
<http://web.archive.org/web/20210508093821/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/7pb7-w9us>; rel=""memento""; datetime=""Sat, 08 May 2021 09:38:21 GMT"",
<http://web.archive.org/web/20210721230945/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/7pb7-w9us>; rel=""memento""; datetime=""Wed, 21 Jul 2021 23:09:45 GMT"",
<http://web.archive.org/web/20210721231005/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/7pb7-w9us>; rel=""memento""; datetime=""Wed, 21 Jul 2021 23:10:05 GMT"",
<http://web.archive.org/web/20220120041449/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/7pb7-w9us>; rel=""memento""; datetime=""Thu, 20 Jan 2022 04:14:49 GMT"",
<http://web.archive.org/web/20220125070721/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/7pb7-w9us>; rel=""memento""; datetime=""Tue, 25 Jan 2022 07:07:21 GMT"",
<http://web.archive.org/web/20220307221718/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/7pb7-w9us>; rel=""memento""; datetime=""Mon, 07 Mar 2022 22:17:18 GMT"",
<http://web.archive.org/web/20220705210240/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/7pb7-w9us>; rel=""memento""; datetime=""Tue, 05 Jul 2022 21:02:40 GMT"",
<http://web.archive.org/web/20221015041935/http://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/7pb7-w9us>; rel=""memento""; datetime=""Sat, 15 Oct 2022 04:19:35 GMT"",
<http://web.archive.org/web/20221130124543/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/7pb7-w9us>; rel=""memento""; datetime=""Wed, 30 Nov 2022 12:45:43 GMT"",
<http://web.archive.org/web/20240221203722/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/7pb7-w9us>; rel=""memento""; datetime=""Wed, 21 Feb 2024 20:37:22 GMT"",
<http://web.archive.org/web/20240713115556/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/7pb7-w9us>; rel=""memento""; datetime=""Sat, 13 Jul 2024 11:55:56 GMT"",
<http://web.archive.org/web/20241004121518/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/7pb7-w9us>; rel=""memento""; datetime=""Fri, 04 Oct 2024 12:15:18 GMT"",
<http://web.archive.org/web/20241121154302/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/7pb7-w9us>; rel=""memento""; datetime=""Thu, 21 Nov 2024 15:43:02 GMT"",
<http://web.archive.org/web/20241126082419/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/7pb7-w9us>; rel=""memento""; datetime=""Tue, 26 Nov 2024 08:24:19 GMT"",
<http://web.archive.org/web/20241203150635/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/7pb7-w9us>; rel=""memento""; datetime=""Tue, 03 Dec 2024 15:06:35 GMT"",
<http://web.archive.org/web/20250201012753/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/7pb7-w9us>; rel=""memento""; datetime=""Sat, 01 Feb 2025 01:27:53 GMT"",
<http://web.archive.org/web/20250201054514/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/7pb7-w9us>; rel=""memento""; datetime=""Sat, 01 Feb 2025 05:45:14 GMT"",
<http://web.archive.org/web/20250201215929/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/7pb7-w9us>; rel=""memento""; datetime=""Sat, 01 Feb 2025 21:59:29 GMT"",
<http://web.archive.org/web/20250202093446/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/7pb7-w9us>; rel=""memento""; datetime=""Sun, 02 Feb 2025 09:34:46 GMT"",
<http://web.archive.org/web/20250205163853/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/7pb7-w9us>; rel=""memento""; datetime=""Wed, 05 Feb 2025 16:38:53 GMT"",
<http://web.archive.org/web/20250211222937/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/7pb7-w9us/>; rel=""memento""; datetime=""Tue, 11 Feb 2025 22:29:37 GMT"",
<http://web.archive.org/web/20250211222941/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/7pb7-w9us>; rel=""memento""; datetime=""Tue, 11 Feb 2025 22:29:41 GMT"",
<http://web.archive.org/web/20250211222944/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/7pb7-w9us>; rel=""memento""; datetime=""Tue, 11 Feb 2025 22:29:44 GMT""
","{'name': 'NNDSS - Table II. Lyme disease to Meningococcal', 'id': '7pb7-w9us', 'description': 'NNDSS - Table II. Lyme disease to Meningococcal - 2015.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed.The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.    NP: Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year 2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. �� Data for meningococcal disease, invasive caused by serogroups ACWY; serogroup B; other serogroup; and unknown serogroup are available in Table I.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/7pb7-w9us'}"
NNDSS - Table II. Lyme disease to Meningococcal,93k9-hy54,93k9-hy54_1736716291.764718_NNDSS_-_Table_II._Lyme_disease_to_Meningococcal_20250112.csv.gz,2025-01-12 21:11:31 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/93k9-hy54,"NNDSS - Table II. Lyme disease to Meningococcal - 2016. In this Table, provisional* cases of selected† notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.

Note:
These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. 

Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. 

Footnotes:
C.N.M.I.: Commonwealth of Northern Mariana Islands. 
U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.  NP:  Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum.

* Case counts for reporting year 2016 are provisional and subject to change.   For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. 
† Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions.
§ Data for meningococcal disease, invasive caused by serogroups ACWY; serogroup B; other serogroup; and unknown serogroup are available in Table I.","<https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/93k9-hy54>; rel=""original"",
<http://web.archive.org/web/timemap/link/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/93k9-hy54>; rel=""self""; type=""application/link-format""; from=""Wed, 13 Apr 2016 14:01:17 GMT"",
<http://web.archive.org/web/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/93k9-hy54>; rel=""timegate"",
<http://web.archive.org/web/20160413140117/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/93k9-hy54>; rel=""first memento""; datetime=""Wed, 13 Apr 2016 14:01:17 GMT"",
<http://web.archive.org/web/20160611112056/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/93k9-hy54>; rel=""memento""; datetime=""Sat, 11 Jun 2016 11:20:56 GMT"",
<http://web.archive.org/web/20170904052042/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/93k9-hy54>; rel=""memento""; datetime=""Mon, 04 Sep 2017 05:20:42 GMT"",
<http://web.archive.org/web/20201029223946/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/93k9-hy54>; rel=""memento""; datetime=""Thu, 29 Oct 2020 22:39:46 GMT"",
<http://web.archive.org/web/20210115144507/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/93k9-hy54>; rel=""memento""; datetime=""Fri, 15 Jan 2021 14:45:07 GMT"",
<http://web.archive.org/web/20210321003207/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/93k9-hy54>; rel=""memento""; datetime=""Sun, 21 Mar 2021 00:32:07 GMT"",
<http://web.archive.org/web/20210411063020/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/93k9-hy54>; rel=""memento""; datetime=""Sun, 11 Apr 2021 06:30:20 GMT"",
<http://web.archive.org/web/20210510070729/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/93k9-hy54>; rel=""memento""; datetime=""Mon, 10 May 2021 07:07:29 GMT"",
<http://web.archive.org/web/20210510070732/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/93k9-hy54>; rel=""memento""; datetime=""Mon, 10 May 2021 07:07:32 GMT"",
<http://web.archive.org/web/20210720122818/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/93k9-hy54>; rel=""memento""; datetime=""Tue, 20 Jul 2021 12:28:18 GMT"",
<http://web.archive.org/web/20210720122830/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/93k9-hy54>; rel=""memento""; datetime=""Tue, 20 Jul 2021 12:28:30 GMT"",
<http://web.archive.org/web/20211028141044/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/93k9-hy54>; rel=""memento""; datetime=""Thu, 28 Oct 2021 14:10:44 GMT"",
<http://web.archive.org/web/20211126140731/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/93k9-hy54>; rel=""memento""; datetime=""Fri, 26 Nov 2021 14:07:31 GMT"",
<http://web.archive.org/web/20220119211717/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/93k9-hy54>; rel=""memento""; datetime=""Wed, 19 Jan 2022 21:17:17 GMT"",
<http://web.archive.org/web/20220705060804/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/93k9-hy54>; rel=""memento""; datetime=""Tue, 05 Jul 2022 06:08:04 GMT"",
<http://web.archive.org/web/20220812001649/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/93k9-hy54>; rel=""memento""; datetime=""Fri, 12 Aug 2022 00:16:49 GMT"",
<http://web.archive.org/web/20220812021123/http://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/93k9-hy54>; rel=""memento""; datetime=""Fri, 12 Aug 2022 02:11:23 GMT"",
<http://web.archive.org/web/20221130131117/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/93k9-hy54>; rel=""memento""; datetime=""Wed, 30 Nov 2022 13:11:17 GMT"",
<http://web.archive.org/web/20230328111925/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/93k9-hy54>; rel=""memento""; datetime=""Tue, 28 Mar 2023 11:19:25 GMT"",
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<http://web.archive.org/web/20241126082554/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/93k9-hy54>; rel=""memento""; datetime=""Tue, 26 Nov 2024 08:25:54 GMT"",
<http://web.archive.org/web/20241203014904/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/93k9-hy54>; rel=""memento""; datetime=""Tue, 03 Dec 2024 01:49:04 GMT"",
<http://web.archive.org/web/20241203234728/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/93k9-hy54>; rel=""memento""; datetime=""Tue, 03 Dec 2024 23:47:28 GMT"",
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<http://web.archive.org/web/20250202090355/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/93k9-hy54>; rel=""memento""; datetime=""Sun, 02 Feb 2025 09:03:55 GMT"",
<http://web.archive.org/web/20250204091015/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/93k9-hy54>; rel=""memento""; datetime=""Tue, 04 Feb 2025 09:10:15 GMT"",
<http://web.archive.org/web/20250206063334/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/93k9-hy54/>; rel=""memento""; datetime=""Thu, 06 Feb 2025 06:33:34 GMT"",
<http://web.archive.org/web/20250213092419/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/93k9-hy54>; rel=""memento""; datetime=""Thu, 13 Feb 2025 09:24:19 GMT""
","{'name': 'NNDSS - Table II. Lyme disease to Meningococcal', 'id': '93k9-hy54', 'description': 'NNDSS - Table II. Lyme disease to Meningococcal - 2016. In this Table, provisional* cases of selected† notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\n\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.  NP:  Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum.\r\n\r\n* Case counts for reporting year 2016 are provisional and subject to change.   For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. \r\n† Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions.\r\n§ Data for meningococcal disease, invasive caused by serogroups ACWY; serogroup B; other serogroup; and unknown serogroup are available in Table I.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/93k9-hy54'}"
NNDSS - Table II. Lyme disease to Meningococcal,y6uv-t34t,y6uv-t34t_1736711861.300658_NNDSS_-_Table_II._Lyme_disease_to_Meningococcal_20250112.csv.gz,2025-01-12 19:57:41 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/y6uv-t34t,"NNDSS - Table II. Lyme disease to Meningococcal - 2014In this Table, all conditions with a 5-year average annual national total of more than or equals 1,000 cases but less than or equals 10,000 cases will be displayed (��� 1,000 and ��_ 10,000). The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Case counts for reporting years 2013 and 2014 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. ��� Data for meningococcal disease, invasive caused by serogroups A, C, Y, & W-135; serogroup B; other serogroup; and unknown serogroup are available in Table I.More information on NNDSS is available at http://wwwn.cdc.gov/nndss/.",,"{'name': 'NNDSS - Table II. Lyme disease to Meningococcal', 'id': 'y6uv-t34t', 'description': 'NNDSS - Table II. Lyme disease to Meningococcal - 2014In this Table, all conditions with a 5-year average annual national total of more than or equals 1,000 cases but less than or equals 10,000 cases will be displayed (��� 1,000 and ��_ 10,000). The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Case counts for reporting years 2013 and 2014 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. ��� Data for meningococcal disease, invasive caused by serogroups A, C, Y, & W-135; serogroup B; other serogroup; and unknown serogroup are available in Table I.More information on NNDSS is available at http://wwwn.cdc.gov/nndss/.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Lyme-disease-to-Meningococcal/y6uv-t34t'}"
NNDSS - Table II. Meningococcal disease to Pertussis,9qys-crt2,9qys-crt2_1736724293.966068_NNDSS_-_Table_II._Meningococcal_disease_to_Pertussis_20250112.csv.gz,2025-01-12 23:24:53 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Meningococcal-disease-to-Pertussis/9qys-crt2,"NNDSS - Table II. Meningococcal disease to Pertussis - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.

Note:

This table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.
 
Footnotes:

C.N.M.I.: Commonwealth of Northern Mariana Islands. 
U: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. 

* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.",,"{'name': 'NNDSS - Table II. Meningococcal disease to Pertussis', 'id': '9qys-crt2', 'description': 'NNDSS - Table II. Meningococcal disease to Pertussis - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.\r\n\r\nNote:\r\n\r\nThis table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.\r\n \r\nFootnotes:\r\n\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Meningococcal-disease-to-Pertussis/9qys-crt2'}"
NNDSS - Table II. Meningococcal to Pertussis,hatw-7gqy,hatw-7gqy_1736714314.545928_NNDSS_-_Table_II._Meningococcal_to_Pertussis_20250112.csv.gz,2025-01-12 20:38:34 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Meningococcal-to-Pertussis/hatw-7gqy,"NNDSS - Table II. Meningococcal to Pertussis - 2017. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.

Note:
These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. 

Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. 

Footnotes:
 C.N.M.I.: Commonwealth of Northern Mariana Islands. 

 U: Unavailable. —: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. 

* Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. 

† Case counts for reporting year 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for tuberculosis are displayed in Table IV, which appears quarterly.

§ Data for meningococcal disease, invasive caused by serogroups ACWY, serogroup B, other serogroups, and unknown serogroups are available in Table I.",,"{'name': 'NNDSS - Table II. Meningococcal to Pertussis', 'id': 'hatw-7gqy', 'description': 'NNDSS - Table II. Meningococcal to Pertussis - 2017. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\n\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\n C.N.M.I.: Commonwealth of Northern Mariana Islands. \r\n\r\n U: Unavailable. —: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n* Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. \r\n\r\n† Case counts for reporting year 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for tuberculosis are displayed in Table IV, which appears quarterly.\r\n\r\n§ Data for meningococcal disease, invasive caused by serogroups ACWY, serogroup B, other serogroups, and unknown serogroups are available in Table I.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Meningococcal-to-Pertussis/hatw-7gqy'}"
"NNDSS - Table II. Mumps to Rabies, animal",8rkx-vimh,8rkx-vimh_1736714793.543741_NNDSS_-_Table_II._Mumps_to_Rabies__animal_20250112.csv.gz,2025-01-12 20:46:33 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Mumps-to-Rabies-animal/8rkx-vimh,"NNDSS - Table II. Mumps to Rabies, animal - 2014.In this Table, all conditions with a 5-year average annual national total of more than or equals 1,000 cases but less than or equals 10,000 cases will be displayed (��� 1,000 and ��_ 10,000). The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Case counts for reporting years 2013 and 2014 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly.More information on NNDSS is available at http://wwwn.cdc.gov/nndss/.",,"{'name': 'NNDSS - Table II. Mumps to Rabies, animal', 'id': '8rkx-vimh', 'description': 'NNDSS - Table II. Mumps to Rabies, animal - 2014.In this Table, all conditions with a 5-year average annual national total of more than or equals 1,000 cases but less than or equals 10,000 cases will be displayed (��� 1,000 and ��_ 10,000). The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Case counts for reporting years 2013 and 2014 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly.More information on NNDSS is available at http://wwwn.cdc.gov/nndss/.', 'datatype': 'tabular', 'keywords': ['health', 'social services', 'environment', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Mumps-to-Rabies-animal/8rkx-vimh'}"
"NNDSS - Table II. Mumps to Rabies, animal",bfe6-2gyq,bfe6-2gyq_1736719194.643450_NNDSS_-_Table_II._Mumps_to_Rabies__animal_20250112.csv.gz,2025-01-12 21:59:54 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Mumps-to-Rabies-animal/bfe6-2gyq,"NNDSS - Table II. Mumps to Rabies, animal - 2016.  In this Table, provisional* cases of selected† notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed.  The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.
Note:
These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. 

Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. 

Footnotes:
C.N.M.I.: Commonwealth of Northern Mariana Islands. 
U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.   NP:  Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum.

 * Case counts for reporting year 2016 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. 
 † Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions.",,"{'name': 'NNDSS - Table II. Mumps to Rabies, animal', 'id': 'bfe6-2gyq', 'description': 'NNDSS - Table II. Mumps to Rabies, animal - 2016.  In this Table, provisional* cases of selected† notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed.  The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.   NP:  Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum.\r\n\r\n * Case counts for reporting year 2016 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. \r\n † Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Mumps-to-Rabies-animal/bfe6-2gyq'}"
"NNDSS - Table II. Mumps to Rabies, animal",d69q-iyrb,d69q-iyrb_1736719695.439273_NNDSS_-_Table_II._Mumps_to_Rabies__animal_20250112.csv.gz,2025-01-12 22:08:15 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Mumps-to-Rabies-animal/d69q-iyrb,"NNDSS - Table II. Mumps to Rabies, animal - 2015.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed.The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.    NP: Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year 2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly.",,"{'name': 'NNDSS - Table II. Mumps to Rabies, animal', 'id': 'd69q-iyrb', 'description': 'NNDSS - Table II. Mumps to Rabies, animal - 2015.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed.The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.    NP: Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year 2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly.', 'datatype': 'tabular', 'keywords': ['health', 'social services', 'environment', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Mumps-to-Rabies-animal/d69q-iyrb'}"
"NNDSS - Table II. Rabies, animal to Rubella, congenital syndrome",qvvb-s7gu,qvvb-s7gu_1736730842.890435_NNDSS_-_Table_II._Rabies__animal_to_Rubella__congenital_syndrome_20250113.csv.gz,2025-01-13 01:14:02 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Rabies-animal-to-Rubella-congenital/qvvb-s7gu,"NNDSS - Table II. Rabies, animal to Rubella, congenital syndrome - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.

Note:

This table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:

C.N.M.I.: Commonwealth of Northern Mariana Islands. 
U: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum.
 
* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.",,"{'name': 'NNDSS - Table II. Rabies, animal to Rubella, congenital syndrome', 'id': 'qvvb-s7gu', 'description': 'NNDSS - Table II. Rabies, animal to Rubella, congenital syndrome - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.\r\n\r\nNote:\r\n\r\nThis table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\n\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum.\r\n \r\n* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Rabies-animal-to-Rubella-congenital/qvvb-s7gu'}"
"NNDSS - Table II. Rabies, animal to Rubella, congenital syndrome",scxv-4u4u,scxv-4u4u_1736717624.128785_NNDSS_-_Table_II._Rabies__animal_to_Rubella__congenital_syndrome_20250112.csv.gz,2025-01-12 21:33:44 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Rabies-animal-to-Rubella-congenital/scxv-4u4u,"NNDSS - Table II. Rabies, animal to Rubella, congenital syndrome - 2017.  In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed.  The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.

Note:
These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. 

Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. 

Footnotes:
 C.N.M.I.: Commonwealth of Northern Mariana Islands. 

 U: Unavailable. —: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. 

*Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. 

† Case counts for reporting year 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for tuberculosis are displayed in Table IV, which appears quarterly.",,"{'name': 'NNDSS - Table II. Rabies, animal to Rubella, congenital syndrome', 'id': 'scxv-4u4u', 'description': 'NNDSS - Table II. Rabies, animal to Rubella, congenital syndrome - 2017.  In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed.  The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\n\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\n C.N.M.I.: Commonwealth of Northern Mariana Islands. \r\n\r\n U: Unavailable. —: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n*Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. \r\n\r\n† Case counts for reporting year 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for tuberculosis are displayed in Table IV, which appears quarterly.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Rabies-animal-to-Rubella-congenital/scxv-4u4u'}"
NNDSS - Table II. Rubella to Salmonellosis,4qb4-rsd8,4qb4-rsd8_1736722706.432611_NNDSS_-_Table_II._Rubella_to_Salmonellosis_20250112.csv.gz,2025-01-12 22:58:26 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Rubella-to-Salmonellosis/4qb4-rsd8,"NNDSS - Table II. Rubella to Salmonellosis - 2016.  In this Table, provisional* cases of selected† notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.
Note:
These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. 

Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. 

Footnotes:
C.N.M.I.: Commonwealth of Northern Mariana Islands. 
U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.   NP:  Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. 

 * Case counts for reporting year 2016 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly.
† Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions.",,"{'name': 'NNDSS - Table II. Rubella to Salmonellosis', 'id': '4qb4-rsd8', 'description': 'NNDSS - Table II. Rubella to Salmonellosis - 2016.  In this Table, provisional* cases of selected† notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.   NP:  Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. \r\n\r\n * Case counts for reporting year 2016 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly.\r\n† Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Rubella-to-Salmonellosis/4qb4-rsd8'}"
NNDSS - Table II. Rubella to Salmonellosis,d6kj-devz,d6kj-devz_1736721184.533607_NNDSS_-_Table_II._Rubella_to_Salmonellosis_20250112.csv.gz,2025-01-12 22:33:04 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Rubella-to-Salmonellosis/d6kj-devz,"NNDSS - Table II. Rubella to Salmonellosis - 2015.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed.The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.    NP: Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year 2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly.","<https://data.cdc.gov/NNDSS/NNDSS-Table-II-Rubella-to-Salmonellosis/d6kj-devz>; rel=""original"",
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","{'name': 'NNDSS - Table II. Rubella to Salmonellosis', 'id': 'd6kj-devz', 'description': 'NNDSS - Table II. Rubella to Salmonellosis - 2015.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed.The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.    NP: Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year 2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Rubella-to-Salmonellosis/d6kj-devz'}"
NNDSS - Table II. Salmonellosis (excluding typhoid fever and paratyphoid fever) to Shigellosis,6rpz-c2y5,6rpz-c2y5_1736728469.996840_NNDSS_-_Table_II._Salmonellosis__excluding_typhoid_fever_and_paratyphoid_fever__to_Shigellosis_20250113.csv.gz,2025-01-13 00:34:29 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Salmonellosis-excluding-typhoid-fev/6rpz-c2y5,"NNDSS - Table II. Salmonellosis (excluding typhoid fever and paratyphoid fever) to Shigellosis - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.

Note:

This table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:

C.N.M.I.: Commonwealth of Northern Mariana Islands. 
U: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. 

* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. FoFor further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.  

† Prior to 2018, cases of paratyphoid fever were included as salmonellosis, but beginning in 2018 they are being published as paratyphoid fever (see Table 1).",,"{'name': 'NNDSS - Table II. Salmonellosis (excluding typhoid fever and paratyphoid fever) to Shigellosis', 'id': '6rpz-c2y5', 'description': 'NNDSS - Table II. Salmonellosis (excluding typhoid fever and paratyphoid fever) to Shigellosis - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.\r\n\r\nNote:\r\n\r\nThis table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\n\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. FoFor further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.  \r\n\r\n† Prior to 2018, cases of paratyphoid fever were included as salmonellosis, but beginning in 2018 they are being published as paratyphoid fever (see Table 1).', 'datatype': 'tabular', 'keywords': ['health', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Salmonellosis-excluding-typhoid-fev/6rpz-c2y5'}"
NNDSS - Table II. Salmonellosis to Shigellosis,52cr-rw4k,52cr-rw4k_1736716264.953544_NNDSS_-_Table_II._Salmonellosis_to_Shigellosis_20250112.csv.gz,2025-01-12 21:11:04 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Salmonellosis-to-Shigellosis/52cr-rw4k,"NNDSS - Table II. Salmonellosis to Shigellosis - 2014.In this Table, all conditions with a 5-year average annual national total of more than or equals 1,000 cases but less than or equals 10,000 cases will be displayed (��� 1,000 and ��_ 10,000). The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Case counts for reporting years 2013 and 2014 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. ��� Includes E. coli O157:H7; Shiga toxin positive, serogroup non-O157; and Shiga toxin positive, not serogrouped.More information on NNDSS is available at http://wwwn.cdc.gov/nndss/.",,"{'name': 'NNDSS - Table II. Salmonellosis to Shigellosis', 'id': '52cr-rw4k', 'description': 'NNDSS - Table II. Salmonellosis to Shigellosis - 2014.In this Table, all conditions with a 5-year average annual national total of more than or equals 1,000 cases but less than or equals 10,000 cases will be displayed (��� 1,000 and ��_ 10,000). The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Case counts for reporting years 2013 and 2014 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. ��� Includes E. coli O157:H7; Shiga toxin positive, serogroup non-O157; and Shiga toxin positive, not serogrouped.More information on NNDSS is available at http://wwwn.cdc.gov/nndss/.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Salmonellosis-to-Shigellosis/52cr-rw4k'}"
NNDSS - Table II. Salmonellosis to Shigellosis,hwyq-75wu,hwyq-75wu_1736715398.722587_NNDSS_-_Table_II._Salmonellosis_to_Shigellosis_20250112.csv.gz,2025-01-12 20:56:38 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Salmonellosis-to-Shigellosis/hwyq-75wu,"NNDSS - Table II. Salmonellosis to Shigellosis - 2017.  In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.

Note:
These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. 

Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. 

Footnotes:
 C.N.M.I.: Commonwealth of Northern Mariana Islands. 

 U: Unavailable. —: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. 

*Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. 

† Case counts for reporting year 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for tuberculosis are displayed in Table IV, which appears quarterly.

$ Includes E. coli O157:H7, Shiga toxin-positive, serogroup non-O157, and Shiga toxin-positive, not serogrouped.",,"{'name': 'NNDSS - Table II. Salmonellosis to Shigellosis', 'id': 'hwyq-75wu', 'description': 'NNDSS - Table II. Salmonellosis to Shigellosis - 2017.  In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\n\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\n C.N.M.I.: Commonwealth of Northern Mariana Islands. \r\n\r\n U: Unavailable. —: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n*Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. \r\n\r\n† Case counts for reporting year 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for tuberculosis are displayed in Table IV, which appears quarterly.\r\n\r\n$ Includes E. coli O157:H7, Shiga toxin-positive, serogroup non-O157, and Shiga toxin-positive, not serogrouped.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Salmonellosis-to-Shigellosis/hwyq-75wu'}"
NNDSS - Table II. Shiga toxin to Shigellosis,n3wf-wtep,n3wf-wtep_1736721197.945053_NNDSS_-_Table_II._Shiga_toxin_to_Shigellosis_20250112.csv.gz,2025-01-12 22:33:17 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Shiga-toxin-to-Shigellosis/n3wf-wtep,"NNDSS - Table II. Shiga toxin to Shigellosis - 2015.  In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.    NP: Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year 2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. �� Includes E. coli O157:H7; Shiga toxin-positive, serogroup non-O157; and Shiga toxin-positive, not serogrouped.",,"{'name': 'NNDSS - Table II. Shiga toxin to Shigellosis', 'id': 'n3wf-wtep', 'description': 'NNDSS - Table II. Shiga toxin to Shigellosis - 2015.  In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.    NP: Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year 2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. �� Includes E. coli O157:H7; Shiga toxin-positive, serogroup non-O157; and Shiga toxin-positive, not serogrouped.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Shiga-toxin-to-Shigellosis/n3wf-wtep'}"
NNDSS - Table II. Shiga toxin to Shigellosis,xv7k-8e7s,xv7k-8e7s_1736722976.957991_NNDSS_-_Table_II._Shiga_toxin_to_Shigellosis_20250112.csv.gz,2025-01-12 23:02:56 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Shiga-toxin-to-Shigellosis/xv7k-8e7s,"NNDSS - Table II. Shiga toxin to Shigellosis - 2016.  In this Table, provisional* cases of selected† notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.
Note:
These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. 

Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. 

Footnotes:
C.N.M.I.: Commonwealth of Northern Mariana Islands. 
U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.   NP:  Nationally notifiable but not published.   Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum.
 
* Case counts for reporting year 2016 are provisional and subject to change.   For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.   Data for TB are displayed in Table IV, which appears quarterly.  
† Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table II to facilitate case count verification with reporting jurisdictions.
§ Includes E. coli O157:H7; Shiga toxin-positive, serogroup non-O157; and Shiga toxin-positive, not serogrouped.",,"{'name': 'NNDSS - Table II. Shiga toxin to Shigellosis', 'id': 'xv7k-8e7s', 'description': 'NNDSS - Table II. Shiga toxin to Shigellosis - 2016.  In this Table, provisional* cases of selected† notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.   NP:  Nationally notifiable but not published.   Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum.\r\n \r\n* Case counts for reporting year 2016 are provisional and subject to change.   For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.   Data for TB are displayed in Table IV, which appears quarterly.  \r\n† Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table II to facilitate case count verification with reporting jurisdictions.\r\n§ Includes E. coli O157:H7; Shiga toxin-positive, serogroup non-O157; and Shiga toxin-positive, not serogrouped.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Shiga-toxin-to-Shigellosis/xv7k-8e7s'}"
NNDSS - Table II. Spotted Fever Rickettsiosis to Syphilis,6jgb-zrsp,6jgb-zrsp_1736721464.384387_NNDSS_-_Table_II._Spotted_Fever_Rickettsiosis_to_Syphilis_20250112.csv.gz,2025-01-12 22:37:44 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Spotted-Fever-Rickettsiosis-to-Syph/6jgb-zrsp,"NNDSS - Table II. Spotted Fever Rickettsiosis to Syphilis - 2016.  In this Table, provisional* cases of selected† notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.
Note:
These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. 

Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. 

Footnotes:
C.N.M.I.: Commonwealth of Northern Mariana Islands. 
U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.   NP:  Nationally notifiable but not published.  Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum.

* Case counts for reporting year 2016 are provisional and subject to change.   For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly.
† Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table II to facilitate case count verification with reporting jurisdictions.
§ Illnesses with similar clinical presentation that result from Spotted fever group rickettsia infections are reported as Spotted fever rickettsioses.   Rocky Mountain spotted fever (RMSF) caused by Rickettsia rickettsii, is the most common and well-known spotted fever.",,"{'name': 'NNDSS - Table II. Spotted Fever Rickettsiosis to Syphilis', 'id': '6jgb-zrsp', 'description': 'NNDSS - Table II. Spotted Fever Rickettsiosis to Syphilis - 2016.  In this Table, provisional* cases of selected† notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.   NP:  Nationally notifiable but not published.  Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum.\r\n\r\n* Case counts for reporting year 2016 are provisional and subject to change.   For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly.\r\n† Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table II to facilitate case count verification with reporting jurisdictions.\r\n§ Illnesses with similar clinical presentation that result from Spotted fever group rickettsia infections are reported as Spotted fever rickettsioses.   Rocky Mountain spotted fever (RMSF) caused by Rickettsia rickettsii, is the most common and well-known spotted fever.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Spotted-Fever-Rickettsiosis-to-Syph/6jgb-zrsp'}"
NNDSS - Table II. Spotted Fever Rickettsiosis to Syphilis,75b3-73qi,75b3-73qi_1736720526.041065_NNDSS_-_Table_II._Spotted_Fever_Rickettsiosis_to_Syphilis_20250112.csv.gz,2025-01-12 22:22:06 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Spotted-Fever-Rickettsiosis-to-Syph/75b3-73qi,"NNDSS - Table II. Spotted Fever Rickettsiosis to Syphilis - 2017.  In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.

Note:
These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. 

Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. 

Footnotes:
 C.N.M.I.: Commonwealth of Northern Mariana Islands. 

 U: Unavailable. —: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. 

*Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. 

† Case counts for reporting year 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for tuberculosis are displayed in Table IV, which appears quarterly.

§ Illnesses with similar clinical presentation that result from Spotted Fever Group Rickettsia infections are reported as Spotted Fever Rickettsioses. Rocky Mountain Spotted Fever (RMSF), caused by Rickettsia rickettsii, is the most common and well-known Spotted Fever.",,"{'name': 'NNDSS - Table II. Spotted Fever Rickettsiosis to Syphilis', 'id': '75b3-73qi', 'description': 'NNDSS - Table II. Spotted Fever Rickettsiosis to Syphilis - 2017.  In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\n\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\n C.N.M.I.: Commonwealth of Northern Mariana Islands. \r\n\r\n U: Unavailable. —: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n*Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. \r\n\r\n† Case counts for reporting year 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for tuberculosis are displayed in Table IV, which appears quarterly.\r\n\r\n§ Illnesses with similar clinical presentation that result from Spotted Fever Group Rickettsia infections are reported as Spotted Fever Rickettsioses. Rocky Mountain Spotted Fever (RMSF), caused by Rickettsia rickettsii, is the most common and well-known Spotted Fever.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Spotted-Fever-Rickettsiosis-to-Syph/75b3-73qi'}"
NNDSS - Table II. Spotted Fever Rickettsiosis to Syphilis,ekd3-qu3w,ekd3-qu3w_1736720954.991534_NNDSS_-_Table_II._Spotted_Fever_Rickettsiosis_to_Syphilis_20250112.csv.gz,2025-01-12 22:29:14 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Spotted-Fever-Rickettsiosis-to-Syph/ekd3-qu3w,"NNDSS - Table II. Spotted Fever Rickettsiosis to Syphilis - 2015.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.    NP: Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year 2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. �� Illnesses with similar clinical presentation that result from Spotted fever group rickettsia infections are reported as Spotted fever rickettsioses. Rocky Mountain spotted fever (RMSF) caused by Rickettsia rickettsii, is the most common and well-known spotted fever.",,"{'name': 'NNDSS - Table II. Spotted Fever Rickettsiosis to Syphilis', 'id': 'ekd3-qu3w', 'description': 'NNDSS - Table II. Spotted Fever Rickettsiosis to Syphilis - 2015.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.    NP: Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year 2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. �� Illnesses with similar clinical presentation that result from Spotted fever group rickettsia infections are reported as Spotted fever rickettsioses. Rocky Mountain spotted fever (RMSF) caused by Rickettsia rickettsii, is the most common and well-known spotted fever.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Spotted-Fever-Rickettsiosis-to-Syph/ekd3-qu3w'}"
NNDSS - Table II. Spotted Fever Rickettsiosis to Syphilis,fqve-8wzt,fqve-8wzt_1736716884.428014_NNDSS_-_Table_II._Spotted_Fever_Rickettsiosis_to_Syphilis_20250112.csv.gz,2025-01-12 21:21:24 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Spotted-Fever-Rickettsiosis-to-Syph/fqve-8wzt,"NNDSS - Table II. Spotted Fever Rickettsiosis to Syphilis - 2014.In this Table, all conditions with a 5-year average annual national total of more than or equals 1,000 cases but less than or equals 10,000 cases will be displayed (��� 1,000 and ��_ 10,000). The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. 

Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. 

* Case counts for reporting years 2013 and 2014 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. 

��� Illnesses with similar clinical presentation that result from Spotted fever group rickettsia infections are reported as Spotted fever rickettsiosis. Rocky Mountain spotted fever (RMSF) caused by Rickettsia rickettsii, is the most common and well-known spotted fever.More information on NNDSS is available at http://wwwn.cdc.gov/nndss/.",,"{'name': 'NNDSS - Table II. Spotted Fever Rickettsiosis to Syphilis', 'id': 'fqve-8wzt', 'description': 'NNDSS - Table II. Spotted Fever Rickettsiosis to Syphilis - 2014.In this Table, all conditions with a 5-year average annual national total of more than or equals 1,000 cases but less than or equals 10,000 cases will be displayed (��� 1,000 and ��_ 10,000). The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. \r\n\r\n* Case counts for reporting years 2013 and 2014 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. \r\n\r\n��� Illnesses with similar clinical presentation that result from Spotted fever group rickettsia infections are reported as Spotted fever rickettsiosis. Rocky Mountain spotted fever (RMSF) caused by Rickettsia rickettsii, is the most common and well-known spotted fever.More information on NNDSS is available at http://wwwn.cdc.gov/nndss/.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Spotted-Fever-Rickettsiosis-to-Syph/fqve-8wzt'}"
"NNDSS - Table II. Spotted fever rickettsiosis to Syphilis, primary and secondary",efpc-rr7b,efpc-rr7b_1736731136.274378_NNDSS_-_Table_II._Spotted_fever_rickettsiosis_to_Syphilis__primary_and_secondary_20250113.csv.gz,2025-01-13 01:18:56 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Spotted-fever-rickettsiosis-to-Syph/efpc-rr7b,"NNDSS - Table II. Spotted fever rickettsiosis to Syphilis, primary and secondary - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.

Note:

This table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.
 
Footnotes:

C.N.M.I.: Commonwealth of Northern Mariana Islands. 
U: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum.
 
* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.",,"{'name': 'NNDSS - Table II. Spotted fever rickettsiosis to Syphilis, primary and secondary', 'id': 'efpc-rr7b', 'description': 'NNDSS - Table II. Spotted fever rickettsiosis to Syphilis, primary and secondary - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.\r\n\r\nNote:\r\n\r\nThis table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.\r\n \r\nFootnotes:\r\n\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum.\r\n \r\n* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Spotted-fever-rickettsiosis-to-Syph/efpc-rr7b'}"
NNDSS - Table II. Tetanus to Varicella,i42d-szcv,i42d-szcv_1736728275.072168_NNDSS_-_Table_II._Tetanus_to_Varicella_20250113.csv.gz,2025-01-13 00:31:15 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Tetanus-to-Varicella/i42d-szcv,"NNDSS - Table II. Tetanus to Varicella  - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.

Note:

This table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:

C.N.M.I.: Commonwealth of Northern Mariana Islands. 
U: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. 

* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.","<https://data.cdc.gov/NNDSS/NNDSS-Table-II-Tetanus-to-Varicella/i42d-szcv>; rel=""original"",
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<http://web.archive.org/web/20250209223815/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Tetanus-to-Varicella/i42d-szcv>; rel=""memento""; datetime=""Sun, 09 Feb 2025 22:38:15 GMT""
","{'name': 'NNDSS - Table II. Tetanus to Varicella', 'id': 'i42d-szcv', 'description': 'NNDSS - Table II. Tetanus to Varicella  - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.\r\n\r\nNote:\r\n\r\nThis table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\n\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Tetanus-to-Varicella/i42d-szcv'}"
NNDSS - Table II. Tetanus to Varicella,jz7r-jrma,jz7r-jrma_1736716333.090792_NNDSS_-_Table_II._Tetanus_to_Varicella_20250112.csv.gz,2025-01-12 21:12:13 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Tetanus-to-Varicella/jz7r-jrma,"NNDSS - Table II. Tetanus to Varicella - 2017.  In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.

Note:
These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. 

Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. 

Footnotes:
 C.N.M.I.: Commonwealth of Northern Mariana Islands. 

 U: Unavailable. —: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. 

*Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. 

† Case counts for reporting year 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for tuberculosis are displayed in Table IV, which appears quarterly.",,"{'name': 'NNDSS - Table II. Tetanus to Varicella', 'id': 'jz7r-jrma', 'description': 'NNDSS - Table II. Tetanus to Varicella - 2017.  In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\n\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\n C.N.M.I.: Commonwealth of Northern Mariana Islands. \r\n\r\n U: Unavailable. —: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n*Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. \r\n\r\n† Case counts for reporting year 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for tuberculosis are displayed in Table IV, which appears quarterly.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Tetanus-to-Varicella/jz7r-jrma'}"
NNDSS - Table II. Tetanus to Vibriosis,nf22-99pv,nf22-99pv_1736721238.501757_NNDSS_-_Table_II._Tetanus_to_Vibriosis_20250112.csv.gz,2025-01-12 22:33:58 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Tetanus-to-Vibriosis/nf22-99pv,"NNDSS - Table II. Tetanus to Vibriosis - 2015.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.    NP: Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year 2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. �� Any species of the family Vibrionaceae, other than toxigenic Vibrio cholerae O1 or O139.",,"{'name': 'NNDSS - Table II. Tetanus to Vibriosis', 'id': 'nf22-99pv', 'description': 'NNDSS - Table II. Tetanus to Vibriosis - 2015.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.    NP: Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year 2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. �� Any species of the family Vibrionaceae, other than toxigenic Vibrio cholerae O1 or O139.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Tetanus-to-Vibriosis/nf22-99pv'}"
NNDSS - Table II. Tetanus to Vibriosis,tj26-bdgd,tj26-bdgd_1736722327.746660_NNDSS_-_Table_II._Tetanus_to_Vibriosis_20250112.csv.gz,2025-01-12 22:52:07 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Tetanus-to-Vibriosis/tj26-bdgd,"NNDSS - Table II. Tetanus to Vibriosis - 2016.  In this Table, provisional* cases of selected† notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.
Note:
These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. 

Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. 

Footnotes:
C.N.M.I.: Commonwealth of Northern Mariana Islands. 
U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.  NP:  Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum.

* Case counts for reporting year 2016 are provisional and subject to change.  For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.  Data for TB are displayed in Table IV, which appears quarterly. 
† Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table II to facilitate case count verification with reporting jurisdictions. 
§ Any species of the family Vibrionaceae, other than toxigenic Vibrio cholerae O1 or O139.",,"{'name': 'NNDSS - Table II. Tetanus to Vibriosis', 'id': 'tj26-bdgd', 'description': 'NNDSS - Table II. Tetanus to Vibriosis - 2016.  In this Table, provisional* cases of selected† notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.  NP:  Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum.\r\n\r\n* Case counts for reporting year 2016 are provisional and subject to change.  For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.  Data for TB are displayed in Table IV, which appears quarterly. \r\n† Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table II to facilitate case count verification with reporting jurisdictions. \r\n§ Any species of the family Vibrionaceae, other than toxigenic Vibrio cholerae O1 or O139.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Tetanus-to-Vibriosis/tj26-bdgd'}"
NNDSS - Table II. Tuberculosis,5avu-ff58,5avu-ff58_1736730856.596389_NNDSS_-_Table_II._Tuberculosis_20250113.csv.gz,2025-01-13 01:14:16 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Tuberculosis/5avu-ff58,"NNDSS - Table II. Tuberculosis - 2019.  This Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying WONDER data. Data on United States will exclude counts from US territories. 
Footnote: C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable. -: No reported cases. N: Not reportable. NN: Not Nationally Notifiable Cum: Cumulative year-to-date counts. Min: Minimum. Max: Maximum. 
* Case counts for reporting year 2018 and 2019 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf 
† Data for TB are displayed quarterly.","<https://data.cdc.gov/NNDSS/NNDSS-Table-II-Tuberculosis/5avu-ff58>; rel=""original"",
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<http://web.archive.org/web/20200514085409/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Tuberculosis/5avu-ff58>; rel=""memento""; datetime=""Thu, 14 May 2020 08:54:09 GMT"",
<http://web.archive.org/web/20200709010809/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Tuberculosis/5avu-ff58>; rel=""memento""; datetime=""Thu, 09 Jul 2020 01:08:09 GMT"",
<http://web.archive.org/web/20210105091855/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Tuberculosis/5avu-ff58>; rel=""memento""; datetime=""Tue, 05 Jan 2021 09:18:55 GMT"",
<http://web.archive.org/web/20241121174436/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Tuberculosis/5avu-ff58>; rel=""memento""; datetime=""Thu, 21 Nov 2024 17:44:36 GMT"",
<http://web.archive.org/web/20241130172506/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Tuberculosis/5avu-ff58>; rel=""memento""; datetime=""Sat, 30 Nov 2024 17:25:06 GMT"",
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<http://web.archive.org/web/20250201181912/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Tuberculosis/5avu-ff58>; rel=""memento""; datetime=""Sat, 01 Feb 2025 18:19:12 GMT"",
<http://web.archive.org/web/20250201215447/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Tuberculosis/5avu-ff58>; rel=""memento""; datetime=""Sat, 01 Feb 2025 21:54:47 GMT"",
<http://web.archive.org/web/20250202090758/https://data.cdc.gov/NNDSS/NNDSS-Table-II-Tuberculosis/5avu-ff58>; rel=""memento""; datetime=""Sun, 02 Feb 2025 09:07:58 GMT"",
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","{'name': 'NNDSS - Table II. Tuberculosis', 'id': '5avu-ff58', 'description': 'NNDSS - Table II. Tuberculosis - 2019.  This Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying WONDER data. Data on United States will exclude counts from US territories. \nFootnote: C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable. -: No reported cases. N: Not reportable. NN: Not Nationally Notifiable Cum: Cumulative year-to-date counts. Min: Minimum. Max: Maximum. \n* Case counts for reporting year 2018 and 2019 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf \n† Data for TB are displayed quarterly.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Tuberculosis/5avu-ff58'}"
NNDSS - Table II. Varicella to West Nile virus disease,ig4m-ub43,ig4m-ub43_1736714580.728780_NNDSS_-_Table_II._Varicella_to_West_Nile_virus_disease_20250112.csv.gz,2025-01-12 20:43:00 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Varicella-to-West-Nile-virus-diseas/ig4m-ub43,"NNDSS - Table II. Varicella to West Nile virus disease - 2014.In this Table, all conditions with a 5-year average annual national total of more than or equals 1,000 cases but less than or equals 10,000 cases will be displayed (��� 1,000 and ��_ 10,000). The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Case counts for reporting years 2013 and 2014 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. ��� Updated weekly from reports to the Division of Vector-Borne Infectious Diseases, National Center for Zoonotic, Vector-Borne, and Enteric Diseases (ArboNet Surveillance). Data for California serogroup, eastern equine, Powassan, St. Louis, and western equine diseases are available in Table I. �� Not reportable in all states. Data from states where the condition is not reportable are excluded from this table, except starting in 2007 for the Arboviral diseases and influenza-associated pediatric mortality, and in 2003 for SARS-CoV. Reporting exceptions are available at http://wwwn.cdc.gov/nndss/document/SRCA_FINAL_REPORT_2006-2012_final.xlsx.More information on NNDSS is available at http://wwwn.cdc.gov/nndss/.",,"{'name': 'NNDSS - Table II. Varicella to West Nile virus disease', 'id': 'ig4m-ub43', 'description': 'NNDSS - Table II. Varicella to West Nile virus disease - 2014.In this Table, all conditions with a 5-year average annual national total of more than or equals 1,000 cases but less than or equals 10,000 cases will be displayed (��� 1,000 and ��_ 10,000). The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Case counts for reporting years 2013 and 2014 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. ��� Updated weekly from reports to the Division of Vector-Borne Infectious Diseases, National Center for Zoonotic, Vector-Borne, and Enteric Diseases (ArboNet Surveillance). Data for California serogroup, eastern equine, Powassan, St. Louis, and western equine diseases are available in Table I. �� Not reportable in all states. Data from states where the condition is not reportable are excluded from this table, except starting in 2007 for the Arboviral diseases and influenza-associated pediatric mortality, and in 2003 for SARS-CoV. Reporting exceptions are available at http://wwwn.cdc.gov/nndss/document/SRCA_FINAL_REPORT_2006-2012_final.xlsx.More information on NNDSS is available at http://wwwn.cdc.gov/nndss/.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Varicella-to-West-Nile-virus-diseas/ig4m-ub43'}"
NNDSS - Table II. Vibriosis,ttj2-zsyk,ttj2-zsyk_1736731289.820315_NNDSS_-_Table_II._Vibriosis_20250113.csv.gz,2025-01-13 01:21:29 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-Vibriosis/ttj2-zsyk,"NNDSS - Table II.  Vibriosis - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.

Note:

This table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:

C.N.M.I.: Commonwealth of Northern Mariana Islands. 
U: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. 

* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.",,"{'name': 'NNDSS - Table II. Vibriosis', 'id': 'ttj2-zsyk', 'description': 'NNDSS - Table II.  Vibriosis - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.\r\n\r\nNote:\r\n\r\nThis table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\n\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-Vibriosis/ttj2-zsyk'}"
NNDSS - Table II. West Nile to Zika,rxmp-xjpc,rxmp-xjpc_1736722521.284408_NNDSS_-_Table_II._West_Nile_to_Zika_20250112.csv.gz,2025-01-12 22:55:21 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-West-Nile-to-Zika/rxmp-xjpc,"NNDSS - Table II. West Nile to Zika  - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.

Note:

This table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:

C.N.M.I.: Commonwealth of Northern Mariana Islands. 
U: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. 

* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.  

† Not reportable in all jurisdictions. Reporting exceptions are available at http://wwwn.cdc.gov/nndss/downloads.html.",,"{'name': 'NNDSS - Table II. West Nile to Zika', 'id': 'rxmp-xjpc', 'description': 'NNDSS - Table II. West Nile to Zika  - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.\r\n\r\nNote:\r\n\r\nThis table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\n\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.  \r\n\r\n† Not reportable in all jurisdictions. Reporting exceptions are available at http://wwwn.cdc.gov/nndss/downloads.html.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-West-Nile-to-Zika/rxmp-xjpc'}"
NNDSS - Table II. West Nile virus disease,m5zs-rf6r,m5zs-rf6r_1736715836.070603_NNDSS_-_Table_II._West_Nile_virus_disease_20250112.csv.gz,2025-01-12 21:03:56 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-West-Nile-virus-disease/m5zs-rf6r,"NNDSS - Table II. West Nile virus disease - 2017.  In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed.  The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.

Note:
These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. 

Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. 

Footnotes:
 C.N.M.I.: Commonwealth of Northern Mariana Islands. 

 U: Unavailable. —: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. 

*Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. 

† Case counts for reporting year 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for tuberculosis are displayed in Table IV, which appears quarterly.

§ Updated weekly from the Division of Vector-Borne Diseases, National Center for Emerging and Zoonotic Infectious Diseases (ArboNET Surveillance). Data for Jamestown Canyon virus, La Crosse virus, Chikungunya virus, Eastern equine encephalitis virus, Powassan virus, St. Louis virus, and Western equine encephalitis virus diseases are available in Table I. 

¶ Not reportable in all states. Reporting exceptions are available at http://wwwn.cdc.gov/nndss/downloads.html.",,"{'name': 'NNDSS - Table II. West Nile virus disease', 'id': 'm5zs-rf6r', 'description': 'NNDSS - Table II. West Nile virus disease - 2017.  In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed.  The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\n\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\n C.N.M.I.: Commonwealth of Northern Mariana Islands. \r\n\r\n U: Unavailable. —: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n*Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. \r\n\r\n† Case counts for reporting year 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for tuberculosis are displayed in Table IV, which appears quarterly.\r\n\r\n§ Updated weekly from the Division of Vector-Borne Diseases, National Center for Emerging and Zoonotic Infectious Diseases (ArboNET Surveillance). Data for Jamestown Canyon virus, La Crosse virus, Chikungunya virus, Eastern equine encephalitis virus, Powassan virus, St. Louis virus, and Western equine encephalitis virus diseases are available in Table I. \r\n\r\n¶ Not reportable in all states. Reporting exceptions are available at http://wwwn.cdc.gov/nndss/downloads.html.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-West-Nile-virus-disease/m5zs-rf6r'}"
NNDSS - Table II. West Nile virus disease,r7hc-32zu,r7hc-32zu_1736720746.772753_NNDSS_-_Table_II._West_Nile_virus_disease_20250112.csv.gz,2025-01-12 22:25:46 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-West-Nile-virus-disease/r7hc-32zu,"NNDSS - Table II. West Nile virus disease - 2015.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed.The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.    NP: Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year 2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. �� Updated weekly from reports to the Division of Vector-Borne Diseases, National Center for Emerging and Zoonotic Infectious Diseases (ArboNET Surveillance). Data for California serogroup, Chikungunya virus, eastern equine, Powassan, St. Louis, and western equine diseases are available in Table I. �� Not reportable in all states. Data from states where the condition is not reportable are excluded from this table, except starting in 2007 for the domestic arboviral diseases, influenza-associated pediatric mortality, and in 2003 for SARS-CoV. Reporting exceptions are available at http://wwwn.cdc.gov/nndss/downloads.html.",,"{'name': 'NNDSS - Table II. West Nile virus disease', 'id': 'r7hc-32zu', 'description': 'NNDSS - Table II. West Nile virus disease - 2015.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed.The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.    NP: Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year 2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. �� Updated weekly from reports to the Division of Vector-Borne Diseases, National Center for Emerging and Zoonotic Infectious Diseases (ArboNET Surveillance). Data for California serogroup, Chikungunya virus, eastern equine, Powassan, St. Louis, and western equine diseases are available in Table I. �� Not reportable in all states. Data from states where the condition is not reportable are excluded from this table, except starting in 2007 for the domestic arboviral diseases, influenza-associated pediatric mortality, and in 2003 for SARS-CoV. Reporting exceptions are available at http://wwwn.cdc.gov/nndss/downloads.html.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-West-Nile-virus-disease/r7hc-32zu'}"
NNDSS - Table II. West Nile virus disease,sd5c-m3g5,sd5c-m3g5_1736721065.434729_NNDSS_-_Table_II._West_Nile_virus_disease_20250112.csv.gz,2025-01-12 22:31:05 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-II-West-Nile-virus-disease/sd5c-m3g5,"NNDSS - Table II. West Nile virus disease - 2016.  In this Table, provisional* cases of selected† notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed.  The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.
Note:
These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. 

Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. 

Footnotes:
C.N.M.I.: Commonwealth of Northern Mariana Islands. 
U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.   NP:  Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. 

* Case counts for reporting year 2016 are provisional and subject to change.   For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. 
† Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table II to facilitate case count verification with reporting jurisdictions. 
§ Updated weekly from the Division of Vector-Borne Diseases, National Center for Emerging and Zoonotic Infectious Diseases (ArboNET Surveillance).  Data for Jamestown Canyon virus, La Crosse virus, Chikungunya virus, Eastern equine encephalitis virus, Powassan virus, St. Louis virus, and Western equine encephalitis virus diseases are available in Table I. 
¶ Not reportable in all states. Reporting exceptions are available at http://wwwn.cdc.gov/nndss/downloads.html.",,"{'name': 'NNDSS - Table II. West Nile virus disease', 'id': 'sd5c-m3g5', 'description': 'NNDSS - Table II. West Nile virus disease - 2016.  In this Table, provisional* cases of selected† notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed.  The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.   NP:  Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. \r\n\r\n* Case counts for reporting year 2016 are provisional and subject to change.   For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. \r\n† Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table II to facilitate case count verification with reporting jurisdictions. \r\n§ Updated weekly from the Division of Vector-Borne Diseases, National Center for Emerging and Zoonotic Infectious Diseases (ArboNET Surveillance).  Data for Jamestown Canyon virus, La Crosse virus, Chikungunya virus, Eastern equine encephalitis virus, Powassan virus, St. Louis virus, and Western equine encephalitis virus diseases are available in Table I. \r\n¶ Not reportable in all states. Reporting exceptions are available at http://wwwn.cdc.gov/nndss/downloads.html.', 'datatype': 'tabular', 'keywords': ['health', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-II-West-Nile-virus-disease/sd5c-m3g5'}"
NNDSS - Table III. Tuberculosis,9g7x-sfq4,9g7x-sfq4_1736733991.555788_NNDSS_-_Table_III._Tuberculosis_20250113.csv.gz,2025-01-13 02:06:31 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-III-Tuberculosis/9g7x-sfq4,"NNDSS - Table III. Tuberculosis - 2017.This Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States will exclude counts from US territories.  Footnote: C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable    Cum: Cumulative year-to-date counts.    Min: Minimum.    Max: Maximum. * Case counts for reporting year 2016 and 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf Data for TB are displayed quarterly.",,"{'name': 'NNDSS - Table III. Tuberculosis', 'id': '9g7x-sfq4', 'description': 'NNDSS - Table III. Tuberculosis - 2017.This Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States will exclude counts from US territories.  Footnote: C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable    Cum: Cumulative year-to-date counts.    Min: Minimum.    Max: Maximum. * Case counts for reporting year 2016 and 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf Data for TB are displayed quarterly.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-III-Tuberculosis/9g7x-sfq4'}"
NNDSS - Table III. Tuberculosis,u3yt-gdfa,u3yt-gdfa_1736726600.396424_NNDSS_-_Table_III._Tuberculosis_20250113.csv.gz,2025-01-13 00:03:20 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-III-Tuberculosis/u3yt-gdfa,"NNDSS - Table III. Tuberculosis - 2018.This Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying WONDER data.  Data on United States will exclude counts from US territories. 
 
Footnote: C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable    Cum: Cumulative year-to-date counts.    Min: Minimum.    Max: Maximum. 

* Case counts for reporting year 2017 and 2018 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf 

† Data for TB are displayed quarterly.",,"{'name': 'NNDSS - Table III. Tuberculosis', 'id': 'u3yt-gdfa', 'description': 'NNDSS - Table III. Tuberculosis - 2018.This Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying WONDER data.  Data on United States will exclude counts from US territories. \r\n \r\nFootnote: C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable    Cum: Cumulative year-to-date counts.    Min: Minimum.    Max: Maximum. \r\n\r\n* Case counts for reporting year 2017 and 2018 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf \r\n\r\n† Data for TB are displayed quarterly.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-III-Tuberculosis/u3yt-gdfa'}"
NNDSS - Table IV. Tuberculosis,ei7y-3g6s,ei7y-3g6s_1736721038.484758_NNDSS_-_Table_IV._Tuberculosis_20250112.csv.gz,2025-01-12 22:30:38 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-IV-Tuberculosis/ei7y-3g6s,"NNDSS - Table IV. Tuberculosis - 2015.This Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States will exclude counts from US territories.  Footnote:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable    Cum: Cumulative year-to-date counts.    Min: Minimum.    Max: Maximum. * Case counts for reporting year 2014 and 2015 are provisional through the end of the quarter,  January 2, 2016. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf Data for TB are displayed quarterly.",,"{'name': 'NNDSS - Table IV. Tuberculosis', 'id': 'ei7y-3g6s', 'description': 'NNDSS - Table IV. Tuberculosis - 2015.This Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States will exclude counts from US territories.  Footnote:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable    Cum: Cumulative year-to-date counts.    Min: Minimum.    Max: Maximum. * Case counts for reporting year 2014 and 2015 are provisional through the end of the quarter,  January 2, 2016. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf Data for TB are displayed quarterly.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-IV-Tuberculosis/ei7y-3g6s'}"
NNDSS - Table IV. Tuberculosis,pkas-xr96,pkas-xr96_1736718056.330416_NNDSS_-_Table_IV._Tuberculosis_20250112.csv.gz,2025-01-12 21:40:56 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-IV-Tuberculosis/pkas-xr96,"NNDSS - Table IV. Tuberculosis - 2016.This Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States will exclude counts from US territories.  Footnote: C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable    Cum: Cumulative year-to-date counts.    Min: Minimum.    Max: Maximum. * Case counts for reporting year 2015 and 2016 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf Data for TB are displayed quarterly.",,"{'name': 'NNDSS - Table IV. Tuberculosis', 'id': 'pkas-xr96', 'description': 'NNDSS - Table IV. Tuberculosis - 2016.This Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States will exclude counts from US territories.  Footnote: C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable    Cum: Cumulative year-to-date counts.    Min: Minimum.    Max: Maximum. * Case counts for reporting year 2015 and 2016 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf Data for TB are displayed quarterly.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-IV-Tuberculosis/pkas-xr96'}"
NNDSS - Table IV. Tuberculosis,pxa6-asqb,pxa6-asqb_1736719181.130772_NNDSS_-_Table_IV._Tuberculosis_20250112.csv.gz,2025-01-12 21:59:41 UTC,https://data.cdc.gov/NNDSS/NNDSS-Table-IV-Tuberculosis/pxa6-asqb,"NNDSS - Table IV. Tuberculosis - 2014.This Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States will exclude counts from US territories.  Footnote:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable    Cum: Cumulative year-to-date counts.    Min: Minimum.    Max: Maximum. * Case counts for reporting year 2013 and 2014 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf Updated reports to the National Center for HIV/AIDS, Viral Hepatitis, STD and TB Prevention. Data for TB are displayed quarterly.",,"{'name': 'NNDSS - Table IV. Tuberculosis', 'id': 'pxa6-asqb', 'description': 'NNDSS - Table IV. Tuberculosis - 2014.This Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States will exclude counts from US territories.  Footnote:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable    Cum: Cumulative year-to-date counts.    Min: Minimum.    Max: Maximum. * Case counts for reporting year 2013 and 2014 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf Updated reports to the National Center for HIV/AIDS, Viral Hepatitis, STD and TB Prevention. Data for TB are displayed quarterly.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Table-IV-Tuberculosis/pxa6-asqb'}"
NNDSS Weekly Data,x9gk-5huc,x9gk-5huc_1736709981.467200_NNDSS_Weekly_Data_20250112.csv.gz,2025-01-12 19:26:21 UTC,https://data.cdc.gov/NNDSS/NNDSS-Weekly-Data/x9gk-5huc,"NNDSS - In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.


Notes:

• These are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/infectious-disease/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data.

• Notices, errata, and other notes are available in the Notice To Data Users page https://www.cdc.gov/nndss/infectious-disease/notice-to-data-users.html.

• The list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.

Footnotes:

*Case counts for reporting years 2024 and 2025 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
• Please refer to the Stacks publication for weekly updates to the footnote for influenza-associated pediatric mortality.
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.",,"{'name': 'NNDSS Weekly Data', 'id': 'x9gk-5huc', 'description': ""NNDSS - In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\n\nNotes:\n\n• These are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/infectious-disease/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data.\n\n• Notices, errata, and other notes are available in the Notice To Data Users page https://www.cdc.gov/nndss/infectious-disease/notice-to-data-users.html.\n\n• The list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2024 and 2025 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\n• Please refer to the Stacks publication for weekly updates to the footnote for influenza-associated pediatric mortality.\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NNDSS/NNDSS-Weekly-Data/x9gk-5huc'}"
NOHSS Adult Indicators,jz6n-v26y,jz6n-v26y_1736714273.977454_NOHSS_Adult_Indicators_20250112.csv.gz,2025-01-12 20:37:53 UTC,https://data.cdc.gov/Oral-Health/NOHSS-Adult-Indicators/jz6n-v26y,"2012-2020 (even years). Data from BRFSS for indicators of adult oral health for even years from 2012 through 2020. National estimates are represented by the median prevalence among 50 states and the District of Columbia data. Estimates are prepared from the BRFSS public use data sets. Estimates in this file are not age adjusted, and may differ slightly from estimates available from the BRFSS web site or Chronic Disease Indicators due to small differences in definition, age adjustment or rounding.  For more information, see: https://www.cdc.gov/oralhealthdata/overview/Adult-Indicators.html.",,"{'name': 'NOHSS Adult Indicators', 'id': 'jz6n-v26y', 'description': '2012-2020 (even years). Data from BRFSS for indicators of adult oral health for even years from 2012 through 2020. National estimates are represented by the median prevalence among 50 states and the District of Columbia data. Estimates are prepared from the BRFSS public use data sets. Estimates in this file are not age adjusted, and may differ slightly from estimates available from the BRFSS web site or Chronic Disease Indicators due to small differences in definition, age adjustment or rounding.  For more information, see: https://www.cdc.gov/oralhealthdata/overview/Adult-Indicators.html.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Oral-Health/NOHSS-Adult-Indicators/jz6n-v26y'}"
NOHSS Adult Indicators - 2010 And Prior BRFSS,aemk-wcbf,aemk-wcbf_1736726814.225811_NOHSS_Adult_Indicators_-_2010_And_Prior_BRFSS_20250113.csv.gz,2025-01-13 00:06:54 UTC,https://data.cdc.gov/Oral-Health/NOHSS-Adult-Indicators-2010-And-Prior-BRFSS/aemk-wcbf,"Data from BRFSS for indicators of adult oral health for 1999 and even years from 2002 through 2010. National estimates are represented by the median prevalence among 50 states and the District of Columbia data. Estimates are prepared from the BRFSS public use data sets. Estimates in this file are not age adjusted, and may differ slightly from estimates available from the BRFSS web site or Chronic Disease Indicators due to small differences in definition, age adjustment or rounding. For more information, see: http://www.cdc.gov/oralhealthdata/overview/Adult_Indicators.html",,"{'name': 'NOHSS Adult Indicators - 2010 And Prior BRFSS', 'id': 'aemk-wcbf', 'description': 'Data from BRFSS for indicators of adult oral health for 1999 and even years from 2002 through 2010. National estimates are represented by the median prevalence among 50 states and the District of Columbia data. Estimates are prepared from the BRFSS public use data sets. Estimates in this file are not age adjusted, and may differ slightly from estimates available from the BRFSS web site or Chronic Disease Indicators due to small differences in definition, age adjustment or rounding. For more information, see: http://www.cdc.gov/oralhealthdata/overview/Adult_Indicators.html', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Oral-Health/NOHSS-Adult-Indicators-2010-And-Prior-BRFSS/aemk-wcbf'}"
NOHSS Adult Indicators - Adults who have visited a dentist or dental clinic in the past year,jbym-fau6,jbym-fau6_1736726878.268060_NOHSS_Adult_Indicators_-_Adults_who_have_visited_a_dentist_or_dental_clinic_in_the_past_year_20250113.csv.gz,2025-01-13 00:07:58 UTC,https://data.cdc.gov/Oral-Health/NOHSS-Adult-Indicators-Adults-who-have-visited-a-d/jbym-fau6,"2016. Data from BRFSS for indicators of adult oral health for 1999 and even years from 2002 through 2016. National estimates are represented by the median prevalence among 50 states and the District of Columbia data. Estimates are prepared from the BRFSS public use data sets. Estimates in this file are not age adjusted, and may differ slightly from estimates available from the BRFSS web site or Chronic Disease Indicators due to small differences in definition, age adjustment or rounding.  For more information, see: http://www.cdc.gov/oralhealthdata/overview/Adult_Indicators.html",,"{'name': 'NOHSS Adult Indicators - Adults who have visited a dentist or dental clinic in the past year', 'id': 'jbym-fau6', 'description': '2016. Data from BRFSS for indicators of adult oral health for 1999 and even years from 2002 through 2016. National estimates are represented by the median prevalence among 50 states and the District of Columbia data. Estimates are prepared from the BRFSS public use data sets. Estimates in this file are not age adjusted, and may differ slightly from estimates available from the BRFSS web site or Chronic Disease Indicators due to small differences in definition, age adjustment or rounding.  For more information, see: http://www.cdc.gov/oralhealthdata/overview/Adult_Indicators.html', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Oral-Health/NOHSS-Adult-Indicators-Adults-who-have-visited-a-d/jbym-fau6'}"
NOHSS Child Indicators,qcai-zfj9,qcai-zfj9_1736715684.124447_NOHSS_Child_Indicators_20250112.csv.gz,2025-01-12 21:01:24 UTC,https://data.cdc.gov/Oral-Health/NOHSS-Child-Indicators/qcai-zfj9,"Data for School year-end 1994 through year-end 2020.  State oral health surveys are the data sources for these indicators. States periodically conduct independent screening surveys of a probability sample designed to be representative of all third-grade students in the state. Some states also conduct surveys of students in other grades in school, or of Head Start program enrollees. This surveillance activity is voluntary. States submit their data to the Association of State and Territorial Dental Directors (ASTDD), where the survey design and data collected are reviewed for quality and against the criteria for inclusion in NOHSS, before being sent to CDC for inclusion in Oral Health Data. For more information, see: http://www.cdc.gov/oralhealthdata/overview/childIndicators/",,"{'name': 'NOHSS Child Indicators', 'id': 'qcai-zfj9', 'description': 'Data for School year-end 1994 through year-end 2020.  State oral health surveys are the data sources for these indicators. States periodically conduct independent screening surveys of a probability sample designed to be representative of all third-grade students in the state. Some states also conduct surveys of students in other grades in school, or of Head Start program enrollees. This surveillance activity is voluntary. States submit their data to the Association of State and Territorial Dental Directors (ASTDD), where the survey design and data collected are reviewed for quality and against the criteria for inclusion in NOHSS, before being sent to CDC for inclusion in Oral Health Data. For more information, see: http://www.cdc.gov/oralhealthdata/overview/childIndicators/', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Oral-Health/NOHSS-Child-Indicators/qcai-zfj9'}"
NORS,5xkq-dg7x,5xkq-dg7x_1736719749.221564_NORS_20250112.csv.gz,2025-01-12 22:09:09 UTC,https://data.cdc.gov/Foodborne-Waterborne-and-Related-Diseases/NORS/5xkq-dg7x,"The National Outbreak Reporting System (NORS) is a web-based platform designed to support reporting to CDC by local, state, and territorial health departments in the United States of all waterborne disease outbreaks and enteric disease outbreaks transmitted by food, contact with environmental sources, infected persons or animals, or unknown modes of transmission.",,"{'name': 'NORS', 'id': '5xkq-dg7x', 'description': 'The National Outbreak Reporting System (NORS) is a web-based platform designed to support reporting to CDC by local, state, and territorial health departments in the United States of all waterborne disease outbreaks and enteric disease outbreaks transmitted by food, contact with environmental sources, infected persons or animals, or unknown modes of transmission.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Foodborne-Waterborne-and-Related-Diseases/NORS/5xkq-dg7x'}"
"NSSP Emergency Department Visit Trajectories by State and Sub State Regions- COVID-19, Flu, RSV, Combined  ",rdmq-nq56,rdmq-nq56_1736711616.185954_NSSP_Emergency_Department_Visit_Trajectories_by_State_and_Sub_State_Regions-_COVID-19__Flu__RSV__Combined___20250112.csv.gz,2025-01-12 19:53:36 UTC,https://data.cdc.gov/Public-Health-Surveillance/NSSP-Emergency-Department-Visit-Trajectories-by-St/rdmq-nq56,"NSSP Emergency Department (ED) Visit Trajectories by State and Sub-State Regions- COVID-19, Flu, RSV, Combined. This dataset provides the percentage of emergency department patient visits for the specified pathogen of all ED patient visits for the specified geographic part of the country that were observed for the given week from data submitted to the National Syndromic Surveillance Program (NSSP). In addition, the trend over time is characterized as increasing, decreasing or no change, with exceptions for when there are no data available, the data are too sparse, or there are not enough data to compute a trend. These data are to provide awareness of how the weekly trend is changing for the given geographic region.  

Note that the reported sub-state trends are from Health Service Areas (HSA) and the data reported from the health care facilities located within the given HSA. Health Service Areas are regions of one or more counties that align to patterns of care seeking. The HSA level data are reported for each county in the HSA. 

More information on HSAs is available <a href=""https://seer.cancer.gov/seerstat/variables/countyattribs/hsa.html""><b>here</b></a>.

For the emergency department time series, trajectory classifications reported on for sub-state (HSA) emergency department time series, trajectory classifications are based on approximations of the first derivative (slope) of trends that are smoothed using generalized additive models (GAMs). To determine time intervals in which the slope is sufficiently changing (i.e., rate of change distinguishable from 0), 95% confidence intervals for the slope approximations are calculated and assessed. Weeks with a 95% confidence interval not containing 0 are classified as increasing if the slope estimate is positive and decreasing if the slope estimate is negative. Weeks with a 95% confidence interval containing 0 are classified as stable. In the scenario that an HSA's time series is determined to be too sparse (i.e., many weeks with percentages of 0%), a model is not fit, and the HSA is classified as “sparse”.  

For additional information, please see: <a href=""https://www.cdc.gov/ncird/surveillance/respiratory-illnesses/index.html#companion-guide""><b>Companion Guide: NSSP Emergency Department Data on Respiratory Illness</b></a>

Updated once per week on Fridays. ",,"{'name': 'NSSP Emergency Department Visit Trajectories by State and Sub State Regions- COVID-19, Flu, RSV, Combined\u202f\u202f', 'id': 'rdmq-nq56', 'description': 'NSSP Emergency Department (ED) Visit Trajectories by State and Sub-State Regions- COVID-19, Flu, RSV, Combined. This dataset provides the percentage of emergency department patient visits for the specified pathogen of all ED patient visits for the specified geographic part of the country that were observed for the given week from data submitted to the National Syndromic Surveillance Program (NSSP). In addition, the trend over time is characterized as increasing, decreasing or no change, with exceptions for when there are no data available, the data are too sparse, or there are not enough data to compute a trend. These data are to provide awareness of how the weekly trend is changing for the given geographic region.\u202f \n\nNote that the reported sub-state trends are from Health Service Areas (HSA) and the data reported from the health care facilities located within the given HSA. Health Service Areas are regions of one or more counties that align to patterns of care seeking. The HSA level data are reported for each county in the HSA. \n\nMore information on HSAs is available <a href=""https://seer.cancer.gov/seerstat/variables/countyattribs/hsa.html""><b>here</b></a>.\n\nFor the emergency department time series, trajectory classifications reported on for sub-state (HSA) emergency department time series, trajectory classifications are based on approximations of the first derivative (slope) of trends that are smoothed using generalized additive models (GAMs). To determine time intervals in which the slope is sufficiently changing (i.e., rate of change distinguishable from 0), 95% confidence intervals for the slope approximations are calculated and assessed. Weeks with a 95% confidence interval not containing 0 are classified as increasing if the slope estimate is positive and decreasing if the slope estimate is negative. Weeks with a 95% confidence interval containing 0 are classified as stable. In the scenario that an HSA\'s time series is determined to be too sparse (i.e., many weeks with percentages of 0%), a model is not fit, and the HSA is classified as “sparse”.  \n\nFor additional information, please see: <a href=""https://www.cdc.gov/ncird/surveillance/respiratory-illnesses/index.html#companion-guide""><b>Companion Guide: NSSP Emergency Department Data on Respiratory Illness</b></a>\n\nUpdated once per week on Fridays.\u202f', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/NSSP-Emergency-Department-Visit-Trajectories-by-St/rdmq-nq56'}"
"NSSP Emergency Department Visits - COVID-19, Flu, RSV, Combined – by Demographic Category",7xva-uux8,7xva-uux8_1736725691.506081_NSSP_Emergency_Department_Visits_-_COVID-19__Flu__RSV__Combined___by_Demographic_Category_20250112.csv.gz,2025-01-12 23:48:11 UTC,https://data.cdc.gov/Public-Health-Surveillance/NSSP-Emergency-Department-Visits-COVID-19-Flu-RSV-/7xva-uux8,"NSSP Emergency Department Visits - COVID-19, Flu, RSV, Combined – by Demographic Category 

For additional information, please see: <a href=""https://www.cdc.gov/ncird/surveillance/respiratory-illnesses/index.html#companion-guide""><b>Companion Guide: NSSP Emergency Department Data on Respiratory Illness</b></a>.

Updated once per week on Fridays.","<https://data.cdc.gov/Public-Health-Surveillance/NSSP-Emergency-Department-Visits-COVID-19-Flu-RSV-/7xva-uux8>; rel=""original"",
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<http://web.archive.org/web/20241130154707/https://data.cdc.gov/Public-Health-Surveillance/NSSP-Emergency-Department-Visits-COVID-19-Flu-RSV-/7xva-uux8>; rel=""memento""; datetime=""Sat, 30 Nov 2024 15:47:07 GMT"",
<http://web.archive.org/web/20250131234704/https://data.cdc.gov/Public-Health-Surveillance/NSSP-Emergency-Department-Visits-COVID-19-Flu-RSV-/7xva-uux8>; rel=""memento""; datetime=""Fri, 31 Jan 2025 23:47:04 GMT"",
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<http://web.archive.org/web/20250202081903/https://data.cdc.gov/Public-Health-Surveillance/NSSP-Emergency-Department-Visits-COVID-19-Flu-RSV-/7xva-uux8>; rel=""memento""; datetime=""Sun, 02 Feb 2025 08:19:03 GMT"",
<http://web.archive.org/web/20250206093427/https://data.cdc.gov/Public-Health-Surveillance/NSSP-Emergency-Department-Visits-COVID-19-Flu-RSV-/7xva-uux8/>; rel=""memento""; datetime=""Thu, 06 Feb 2025 09:34:27 GMT"",
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<http://web.archive.org/web/20250206093448/https://data.cdc.gov/Public-Health-Surveillance/NSSP-Emergency-Department-Visits-COVID-19-Flu-RSV-/7xva-uux8>; rel=""memento""; datetime=""Thu, 06 Feb 2025 09:34:48 GMT"",
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","{'name': 'NSSP Emergency Department Visits - COVID-19, Flu, RSV, Combined – by Demographic Category', 'id': '7xva-uux8', 'description': 'NSSP Emergency Department Visits - COVID-19, Flu, RSV, Combined – by Demographic Category \n\nFor additional information, please see: <a href=""https://www.cdc.gov/ncird/surveillance/respiratory-illnesses/index.html#companion-guide""><b>Companion Guide: NSSP Emergency Department Data on Respiratory Illness</b></a>.\n\nUpdated once per week on Fridays.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/NSSP-Emergency-Department-Visits-COVID-19-Flu-RSV-/7xva-uux8'}"
NWSS Public SARS-CoV-2 Concentration in Wastewater Data,g653-rqe2,g653-rqe2_1736710715.089581_NWSS_Public_SARS-CoV-2_Concentration_in_Wastewater_Data_20250112.csv.gz,2025-01-12 19:38:35 UTC,https://data.cdc.gov/Public-Health-Surveillance/NWSS-Public-SARS-CoV-2-Concentration-in-Wastewater/g653-rqe2,This dataset provides a complete time history of SARS-CoV-2 concentrations in wastewater for each sampling location.,,"{'name': 'NWSS Public SARS-CoV-2 Concentration in Wastewater Data', 'id': 'g653-rqe2', 'description': 'This dataset provides a complete time history of SARS-CoV-2 concentrations in wastewater for each sampling location.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/NWSS-Public-SARS-CoV-2-Concentration-in-Wastewater/g653-rqe2'}"
NWSS Public SARS-CoV-2 Wastewater Metric Data,2ew6-ywp6,2ew6-ywp6_1736707852.554982_NWSS_Public_SARS-CoV-2_Wastewater_Metric_Data_20250112.csv.gz,2025-01-12 18:50:52 UTC,https://data.cdc.gov/Public-Health-Surveillance/NWSS-Public-SARS-CoV-2-Wastewater-Metric-Data/2ew6-ywp6,This dataset provides a complete time history of metrics calculated using SARS-CoV-2 concentrations in wastewater.,"<https://data.cdc.gov/Public-Health-Surveillance/NWSS-Public-SARS-CoV-2-Wastewater-Metric-Data/2ew6-ywp6>; rel=""original"",
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<http://web.archive.org/web/https://data.cdc.gov/Public-Health-Surveillance/NWSS-Public-SARS-CoV-2-Wastewater-Metric-Data/2ew6-ywp6>; rel=""timegate"",
<http://web.archive.org/web/20220404054444/https://data.cdc.gov/Public-Health-Surveillance/NWSS-Public-SARS-CoV-2-Wastewater-Metric-Data/2ew6-ywp6>; rel=""first memento""; datetime=""Mon, 04 Apr 2022 05:44:44 GMT"",
<http://web.archive.org/web/20220409042227/https://data.cdc.gov/Public-Health-Surveillance/NWSS-Public-SARS-CoV-2-Wastewater-Metric-Data/2ew6-ywp6>; rel=""memento""; datetime=""Sat, 09 Apr 2022 04:22:27 GMT"",
<http://web.archive.org/web/20220409080420/https://data.cdc.gov/Public-Health-Surveillance/NWSS-Public-SARS-CoV-2-Wastewater-Metric-Data/2ew6-ywp6>; rel=""memento""; datetime=""Sat, 09 Apr 2022 08:04:20 GMT"",
<http://web.archive.org/web/20220419002104/https://data.cdc.gov/Public-Health-Surveillance/NWSS-Public-SARS-CoV-2-Wastewater-Metric-Data/2ew6-ywp6/>; rel=""memento""; datetime=""Tue, 19 Apr 2022 00:21:04 GMT"",
<http://web.archive.org/web/20220430084727/https://data.cdc.gov/Public-Health-Surveillance/NWSS-Public-SARS-CoV-2-Wastewater-Metric-Data/2ew6-ywp6>; rel=""memento""; datetime=""Sat, 30 Apr 2022 08:47:27 GMT"",
<http://web.archive.org/web/20220507135116/https://data.cdc.gov/Public-Health-Surveillance/NWSS-Public-SARS-CoV-2-Wastewater-Metric-Data/2ew6-ywp6>; rel=""memento""; datetime=""Sat, 07 May 2022 13:51:16 GMT"",
<http://web.archive.org/web/20220514203208/https://data.cdc.gov/Public-Health-Surveillance/NWSS-Public-SARS-CoV-2-Wastewater-Metric-Data/2ew6-ywp6>; rel=""memento""; datetime=""Sat, 14 May 2022 20:32:08 GMT"",
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<http://web.archive.org/web/20220524164643/https://data.cdc.gov/Public-Health-Surveillance/NWSS-Public-SARS-CoV-2-Wastewater-Metric-Data/2ew6-ywp6>; rel=""memento""; datetime=""Tue, 24 May 2022 16:46:43 GMT"",
<http://web.archive.org/web/20220528130016/https://data.cdc.gov/Public-Health-Surveillance/NWSS-Public-SARS-CoV-2-Wastewater-Metric-Data/2ew6-ywp6>; rel=""memento""; datetime=""Sat, 28 May 2022 13:00:16 GMT"",
<http://web.archive.org/web/20220707155328/https://data.cdc.gov/Public-Health-Surveillance/NWSS-Public-SARS-CoV-2-Wastewater-Metric-Data/2ew6-ywp6>; rel=""memento""; datetime=""Thu, 07 Jul 2022 15:53:28 GMT"",
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<http://web.archive.org/web/20220813034927/https://data.cdc.gov/Public-Health-Surveillance/NWSS-Public-SARS-CoV-2-Wastewater-Metric-Data/2ew6-ywp6>; rel=""memento""; datetime=""Sat, 13 Aug 2022 03:49:27 GMT"",
<http://web.archive.org/web/20220818084739/https://data.cdc.gov/Public-Health-Surveillance/NWSS-Public-SARS-CoV-2-Wastewater-Metric-Data/2ew6-ywp6>; rel=""memento""; datetime=""Thu, 18 Aug 2022 08:47:39 GMT"",
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<http://web.archive.org/web/20230825063050/https://data.cdc.gov/Public-Health-Surveillance/NWSS-Public-SARS-CoV-2-Wastewater-Metric-Data/2ew6-ywp6>; rel=""memento""; datetime=""Fri, 25 Aug 2023 06:30:50 GMT"",
<http://web.archive.org/web/20231006095553/https://data.cdc.gov/Public-Health-Surveillance/NWSS-Public-SARS-CoV-2-Wastewater-Metric-Data/2ew6-ywp6>; rel=""memento""; datetime=""Fri, 06 Oct 2023 09:55:53 GMT"",
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<http://web.archive.org/web/20250206091120/https://data.cdc.gov/Public-Health-Surveillance/NWSS-Public-SARS-CoV-2-Wastewater-Metric-Data/2ew6-ywp6>; rel=""memento""; datetime=""Thu, 06 Feb 2025 09:11:20 GMT"",
<http://web.archive.org/web/20250207105737/https://data.cdc.gov/Public-Health-Surveillance/NWSS-Public-SARS-CoV-2-Wastewater-Metric-Data/2ew6-ywp6>; rel=""memento""; datetime=""Fri, 07 Feb 2025 10:57:37 GMT""
","{'name': 'NWSS Public SARS-CoV-2 Wastewater Metric Data', 'id': '2ew6-ywp6', 'description': 'This dataset provides a complete time history of metrics calculated using SARS-CoV-2 concentrations in wastewater.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/NWSS-Public-SARS-CoV-2-Wastewater-Metric-Data/2ew6-ywp6'}"
National Artesunate for Severe Malaria Program Artesunate Dosing Data- April to December 2019,qan4-gt4k,qan4-gt4k_1736732118.539509_National_Artesunate_for_Severe_Malaria_Program_Artesunate_Dosing_Data-_April_to_December_2019_20250113.csv.gz,2025-01-13 01:35:18 UTC,https://data.cdc.gov/Global-Health/National-Artesunate-for-Severe-Malaria-Program-Art/qan4-gt4k,"This dataset includes deidentified data on patients receiving artesunate through the National Artesunate for Severe Malaria Program from April- December 2019. 

This dataset contains artesunate dosing data only.
Please see the links below for the other datasets and the attached word document, 'Guide to NASMP Datasets':

Data from Case Report- https://data.cdc.gov/Global-Health/National-Artesunate-for-Severe-Malaria-Program-Cas/igaz-icki

Data on Follow-On Antimalarial Dosing- https://data.cdc.gov/Global-Health/National-Artesunate-for-Severe-Malaria-Program-Fol/g3k9-gyw7

Data on Microscopy (Parasitemia values)- https://data.cdc.gov/Global-Health/National-Artesunate-for-Severe-Malaria-Program-Mic/v2k9-ctv4

All data can be easily linked using the ParticipantID field, a unique ID number assigned to each participant.",,"{'name': 'National Artesunate for Severe Malaria Program Artesunate Dosing Data- April to December 2019', 'id': 'qan4-gt4k', 'description': ""This dataset includes deidentified data on patients receiving artesunate through the National Artesunate for Severe Malaria Program from April- December 2019. \n\nThis dataset contains artesunate dosing data only.\nPlease see the links below for the other datasets and the attached word document, 'Guide to NASMP Datasets':\n\nData from Case Report- https://data.cdc.gov/Global-Health/National-Artesunate-for-Severe-Malaria-Program-Cas/igaz-icki\n\nData on Follow-On Antimalarial Dosing- https://data.cdc.gov/Global-Health/National-Artesunate-for-Severe-Malaria-Program-Fol/g3k9-gyw7\n\nData on Microscopy (Parasitemia values)- https://data.cdc.gov/Global-Health/National-Artesunate-for-Severe-Malaria-Program-Mic/v2k9-ctv4\n\nAll data can be easily linked using the ParticipantID field, a unique ID number assigned to each participant."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Global-Health/National-Artesunate-for-Severe-Malaria-Program-Art/qan4-gt4k'}"
National Artesunate for Severe Malaria Program Case Report Data- April to December 2019,igaz-icki,igaz-icki_1736732323.022305_National_Artesunate_for_Severe_Malaria_Program_Case_Report_Data-_April_to_December_2019_20250113.csv.gz,2025-01-13 01:38:43 UTC,https://data.cdc.gov/Global-Health/National-Artesunate-for-Severe-Malaria-Program-Cas/igaz-icki,"This dataset includes deidentified data on patients receiving artesunate through the National Artesunate for Severe Malaria Program from April- December 2019. 

This dataset contains the data from the case report form only.
Please see the links below for the other datasets and see the attached document 'Guide to NSAMP Datasets':
Data on Artesunate Dosing- https://data.cdc.gov/dataset/National-Artesunate-for-Severe-Malaria-Program-Art/qan4-gt4k
Data on Follow-On Antimalarial Dosing- https://data.cdc.gov/Global-Health/National-Artesunate-for-Severe-Malaria-Program-Fol/g3k9-gyw7
Data on Microscopy (Parasitemia values)- https://data.cdc.gov/Global-Health/National-Artesunate-for-Severe-Malaria-Program-Mic/v2k9-ctv4

All data can be easily linked using the ParticipantID field, a unique ID number assigned to each participant.",,"{'name': 'National Artesunate for Severe Malaria Program Case Report Data- April to December 2019', 'id': 'igaz-icki', 'description': ""This dataset includes deidentified data on patients receiving artesunate through the National Artesunate for Severe Malaria Program from April- December 2019. \n\nThis dataset contains the data from the case report form only.\nPlease see the links below for the other datasets and see the attached document 'Guide to NSAMP Datasets':\nData on Artesunate Dosing- https://data.cdc.gov/dataset/National-Artesunate-for-Severe-Malaria-Program-Art/qan4-gt4k\nData on Follow-On Antimalarial Dosing- https://data.cdc.gov/Global-Health/National-Artesunate-for-Severe-Malaria-Program-Fol/g3k9-gyw7\nData on Microscopy (Parasitemia values)- https://data.cdc.gov/Global-Health/National-Artesunate-for-Severe-Malaria-Program-Mic/v2k9-ctv4\n\nAll data can be easily linked using the ParticipantID field, a unique ID number assigned to each participant."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Global-Health/National-Artesunate-for-Severe-Malaria-Program-Cas/igaz-icki'}"
National Artesunate for Severe Malaria Program Follow-On Antimalarial Dosing Data- April to December 2019,g3k9-gyw7,g3k9-gyw7_1736731343.990644_National_Artesunate_for_Severe_Malaria_Program_Follow-On_Antimalarial_Dosing_Data-_April_to_December_2019_20250113.csv.gz,2025-01-13 01:22:23 UTC,https://data.cdc.gov/Global-Health/National-Artesunate-for-Severe-Malaria-Program-Fol/g3k9-gyw7,"This dataset includes deidentified data on patients receiving artesunate through the National Artesunate for Severe Malaria Program from April- December 2019. 

This dataset contains the data from the case report form only.
Please see the links below for the other datasets and the attached document 'Guide to NASMP Datasets':
Data from Case Report Form- https://data.cdc.gov/Global-Health/National-Artesunate-for-Severe-Malaria-Program-Cas/igaz-icki
Data on Artesunate Dosing- https://data.cdc.gov/dataset/National-Artesunate-for-Severe-Malaria-Program-Art/qan4-gt4k
Data on Microscopy (Parasitemia values)- https://data.cdc.gov/Global-Health/National-Artesunate-for-Severe-Malaria-Program-Mic/v2k9-ctv4

All data can be easily linked using the ParticipantID field, a unique ID number assigned to each participant.",,"{'name': 'National Artesunate for Severe Malaria Program Follow-On Antimalarial Dosing Data- April to December 2019', 'id': 'g3k9-gyw7', 'description': ""This dataset includes deidentified data on patients receiving artesunate through the National Artesunate for Severe Malaria Program from April- December 2019. \n\nThis dataset contains the data from the case report form only.\nPlease see the links below for the other datasets and the attached document 'Guide to NASMP Datasets':\nData from Case Report Form- https://data.cdc.gov/Global-Health/National-Artesunate-for-Severe-Malaria-Program-Cas/igaz-icki\nData on Artesunate Dosing- https://data.cdc.gov/dataset/National-Artesunate-for-Severe-Malaria-Program-Art/qan4-gt4k\nData on Microscopy (Parasitemia values)- https://data.cdc.gov/Global-Health/National-Artesunate-for-Severe-Malaria-Program-Mic/v2k9-ctv4\n\nAll data can be easily linked using the ParticipantID field, a unique ID number assigned to each participant."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Global-Health/National-Artesunate-for-Severe-Malaria-Program-Fol/g3k9-gyw7'}"
National Artesunate for Severe Malaria Program Microscopy Data- April to December 2019,v2k9-ctv4,v2k9-ctv4_1736734237.261773_National_Artesunate_for_Severe_Malaria_Program_Microscopy_Data-_April_to_December_2019_20250113.csv.gz,2025-01-13 02:10:37 UTC,https://data.cdc.gov/Global-Health/National-Artesunate-for-Severe-Malaria-Program-Mic/v2k9-ctv4,"This dataset includes deidentified data on patients receiving artesunate through the National Artesunate for Severe Malaria Program from April- December 2019. 

This dataset contains microscopy data only.
Please see the links below for the other datasets and the attached document 'Guide to NASMP Datasets:
Data from Case Report Form- https://data.cdc.gov/Global-Health/National-Artesunate-for-Severe-Malaria-Program-Cas/igaz-icki
Data on Artesunate Dosing- https://data.cdc.gov/dataset/National-Artesunate-for-Severe-Malaria-Program-Art/qan4-gt4k
Data on Follow-On Dosing- https://data.cdc.gov/Global-Health/National-Artesunate-for-Severe-Malaria-Program-Fol/g3k9-gyw7

All data can be easily linked using the ParticipantID field, a unique ID number assigned to each participant.",,"{'name': 'National Artesunate for Severe Malaria Program Microscopy Data- April to December 2019', 'id': 'v2k9-ctv4', 'description': ""This dataset includes deidentified data on patients receiving artesunate through the National Artesunate for Severe Malaria Program from April- December 2019. \n\nThis dataset contains microscopy data only.\nPlease see the links below for the other datasets and the attached document 'Guide to NASMP Datasets:\nData from Case Report Form- https://data.cdc.gov/Global-Health/National-Artesunate-for-Severe-Malaria-Program-Cas/igaz-icki\nData on Artesunate Dosing- https://data.cdc.gov/dataset/National-Artesunate-for-Severe-Malaria-Program-Art/qan4-gt4k\nData on Follow-On Dosing- https://data.cdc.gov/Global-Health/National-Artesunate-for-Severe-Malaria-Program-Fol/g3k9-gyw7\n\nAll data can be easily linked using the ParticipantID field, a unique ID number assigned to each participant."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Global-Health/National-Artesunate-for-Severe-Malaria-Program-Mic/v2k9-ctv4'}"
National Community Based Survey of Supports for Healthy Eating and Active Living  (CBS HEAL),8hus-y5nc,8hus-y5nc_1736720827.140765_National_Community_Based_Survey_of_Supports_for_Healthy_Eating_and_Active_Living___CBS_HEAL__20250112.csv.gz,2025-01-12 22:27:07 UTC,https://data.cdc.gov/Nutrition-Physical-Activity-and-Obesity/National-Community-Based-Survey-of-Supports-for-He/8hus-y5nc,"Community-Based Survey of Supports for Healthy Eating and Active Living (CBS HEAL) is a CDC survey of a nationally representative sample of U.S. municipalities to better understand existing community-level policies and practices that support healthy eating and active living. The survey collects information about policies such as nutrition standards, incentives for healthy food retail, bike/pedestrian-friendly design, and Complete Streets. About 2,000 municipalities respond to the survey. Participating municipalities receive a report that allows them to compare their policies and practices with other municipalities of similar geography, population size, and urban status.

The CBS HEAL survey was first administered in 2014 and was administered again in 2021. Data is provided in multiple formats for download including as a SAS file. A methods report and a SAS program for formatting the data are also provided.",,"{'name': 'National Community Based Survey of Supports for Healthy Eating and Active Living  (CBS HEAL)', 'id': '8hus-y5nc', 'description': 'Community-Based Survey of Supports for Healthy Eating and Active Living (CBS HEAL) is a CDC survey of a nationally representative sample of U.S. municipalities to better understand existing community-level policies and practices that support healthy eating and active living. The survey collects information about policies such as nutrition standards, incentives for healthy food retail, bike/pedestrian-friendly design, and Complete Streets. About 2,000 municipalities respond to the survey. Participating municipalities receive a report that allows them to compare their policies and practices with other municipalities of similar geography, population size, and urban status.\n\nThe CBS HEAL survey was first administered in 2014 and was administered again in 2021. Data is provided in multiple formats for download including as a SAS file. A methods report and a SAS program for formatting the data are also provided.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Nutrition-Physical-Activity-and-Obesity/National-Community-Based-Survey-of-Supports-for-He/8hus-y5nc'}"
National Immunization Survey Adult COVID Module (NIS-ACM): RespVaxView| Data | Centers for Disease Control and Prevention (cdc.gov),si7g-c2bs,si7g-c2bs_1736739261.650301_National_Immunization_Survey_Adult_COVID_Module__NIS-ACM___RespVaxView__Data___Centers_for_Disease_Control_and_Prevention__cdc.gov__20250113.csv.gz,2025-01-13 03:34:21 UTC,https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/si7g-c2bs,"• National Immunization Survey Adult COVID Module (NIS-ACM): CDC is providing information on the updated 2024-25 COVID-19 vaccine, the 2024-25 seasonal flu vaccine, and the RSV vaccine uptake and confidence. These data represent trends in vaccination status and intent, and other behavioral indicators, by demographics and other characteristics. 

• The data start in September 2024.

• The archived data can be found here: 
- 2023-24 season: https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/uc4z-hbsd/about_data
- Before October 2023:  
https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/udsf-9v7b/about_data",,"{'name': 'National Immunization Survey Adult COVID Module (NIS-ACM): RespVaxView| Data | Centers for Disease Control and Prevention (cdc.gov)', 'id': 'si7g-c2bs', 'description': '• National Immunization Survey Adult COVID Module (NIS-ACM): CDC is providing information on the updated 2024-25 COVID-19 vaccine, the 2024-25 seasonal flu vaccine, and the RSV vaccine uptake and confidence. These data represent trends in vaccination status and intent, and other behavioral indicators, by demographics and other characteristics. \n\n• The data start in September 2024.\n\n• The archived data can be found here: \n- 2023-24 season: https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/uc4z-hbsd/about_data\n- Before October 2023:  \nhttps://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/udsf-9v7b/about_data', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/si7g-c2bs'}"
National Immunization Survey Adult COVID Module (NIS-ACM): Trends in Behavioral Indicators Among Unvaccinated People,qz99-wyhv,qz99-wyhv_1736717651.211424_National_Immunization_Survey_Adult_COVID_Module__NIS-ACM___Trends_in_Behavioral_Indicators_Among_Unvaccinated_People_20250112.csv.gz,2025-01-12 21:34:11 UTC,https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv,"National Immunization Survey-Adult COVID Module (NIS-ACM): CDC is providing information on COVID-19 vaccine confidence to supplement vaccine administration data. Trends in behavioral indicators represent the percent of unvaccinated people responding to each of the indicators by intent status and by week for the national-level view, and by month for the jurisdiction-level view.","<https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""original"",
<http://web.archive.org/web/timemap/link/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""self""; type=""application/link-format""; from=""Wed, 08 Sep 2021 05:14:41 GMT"",
<http://web.archive.org/web/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""timegate"",
<http://web.archive.org/web/20210908051441/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""first memento""; datetime=""Wed, 08 Sep 2021 05:14:41 GMT"",
<http://web.archive.org/web/20210911115415/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Sat, 11 Sep 2021 11:54:15 GMT"",
<http://web.archive.org/web/20211023104506/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Sat, 23 Oct 2021 10:45:06 GMT"",
<http://web.archive.org/web/20211030100452/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Sat, 30 Oct 2021 10:04:52 GMT"",
<http://web.archive.org/web/20211103044724/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Wed, 03 Nov 2021 04:47:24 GMT"",
<http://web.archive.org/web/20211106135752/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Sat, 06 Nov 2021 13:57:52 GMT"",
<http://web.archive.org/web/20211111024842/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Thu, 11 Nov 2021 02:48:42 GMT"",
<http://web.archive.org/web/20211127181642/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Sat, 27 Nov 2021 18:16:42 GMT"",
<http://web.archive.org/web/20211211040801/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Sat, 11 Dec 2021 04:08:01 GMT"",
<http://web.archive.org/web/20211225092153/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Sat, 25 Dec 2021 09:21:53 GMT"",
<http://web.archive.org/web/20220101070134/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Sat, 01 Jan 2022 07:01:34 GMT"",
<http://web.archive.org/web/20220115134453/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Sat, 15 Jan 2022 13:44:53 GMT"",
<http://web.archive.org/web/20220122072212/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Sat, 22 Jan 2022 07:22:12 GMT"",
<http://web.archive.org/web/20220129160428/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Sat, 29 Jan 2022 16:04:28 GMT"",
<http://web.archive.org/web/20220205173747/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Sat, 05 Feb 2022 17:37:47 GMT"",
<http://web.archive.org/web/20220205233043/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Sat, 05 Feb 2022 23:30:43 GMT"",
<http://web.archive.org/web/20220219070417/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Sat, 19 Feb 2022 07:04:17 GMT"",
<http://web.archive.org/web/20220312073836/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Sat, 12 Mar 2022 07:38:36 GMT"",
<http://web.archive.org/web/20220402160320/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Sat, 02 Apr 2022 16:03:20 GMT"",
<http://web.archive.org/web/20220409075607/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Sat, 09 Apr 2022 07:56:07 GMT"",
<http://web.archive.org/web/20220416091217/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Sat, 16 Apr 2022 09:12:17 GMT"",
<http://web.archive.org/web/20220430083544/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Sat, 30 Apr 2022 08:35:44 GMT"",
<http://web.archive.org/web/20220507134545/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Sat, 07 May 2022 13:45:45 GMT"",
<http://web.archive.org/web/20220514202329/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Sat, 14 May 2022 20:23:29 GMT"",
<http://web.archive.org/web/20220515091133/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Sun, 15 May 2022 09:11:33 GMT"",
<http://web.archive.org/web/20220528122629/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Sat, 28 May 2022 12:26:29 GMT"",
<http://web.archive.org/web/20220604104426/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Sat, 04 Jun 2022 10:44:26 GMT"",
<http://web.archive.org/web/20220706042746/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Wed, 06 Jul 2022 04:27:46 GMT"",
<http://web.archive.org/web/20220723064051/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Sat, 23 Jul 2022 06:40:51 GMT"",
<http://web.archive.org/web/20220813034309/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Sat, 13 Aug 2022 03:43:09 GMT"",
<http://web.archive.org/web/20220827200031/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Sat, 27 Aug 2022 20:00:31 GMT"",
<http://web.archive.org/web/20220910201201/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Sat, 10 Sep 2022 20:12:01 GMT"",
<http://web.archive.org/web/20221022231735/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Sat, 22 Oct 2022 23:17:35 GMT"",
<http://web.archive.org/web/20221112173655/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Sat, 12 Nov 2022 17:36:55 GMT"",
<http://web.archive.org/web/20221119164627/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Sat, 19 Nov 2022 16:46:27 GMT"",
<http://web.archive.org/web/20221217200202/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Sat, 17 Dec 2022 20:02:02 GMT"",
<http://web.archive.org/web/20221219151339/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Mon, 19 Dec 2022 15:13:39 GMT"",
<http://web.archive.org/web/20230109210557/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Mon, 09 Jan 2023 21:05:57 GMT"",
<http://web.archive.org/web/20230210071652/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Fri, 10 Feb 2023 07:16:52 GMT"",
<http://web.archive.org/web/20230216002816/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Thu, 16 Feb 2023 00:28:16 GMT"",
<http://web.archive.org/web/20230301002419/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Wed, 01 Mar 2023 00:24:19 GMT"",
<http://web.archive.org/web/20230309192838/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Thu, 09 Mar 2023 19:28:38 GMT"",
<http://web.archive.org/web/20230409153947/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Sun, 09 Apr 2023 15:39:47 GMT"",
<http://web.archive.org/web/20230415072040/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Sat, 15 Apr 2023 07:20:40 GMT"",
<http://web.archive.org/web/20230509150035/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Tue, 09 May 2023 15:00:35 GMT"",
<http://web.archive.org/web/20230527204019/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Sat, 27 May 2023 20:40:19 GMT"",
<http://web.archive.org/web/20230527210322/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Sat, 27 May 2023 21:03:22 GMT"",
<http://web.archive.org/web/20230610131548/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Sat, 10 Jun 2023 13:15:48 GMT"",
<http://web.archive.org/web/20230617183541/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Sat, 17 Jun 2023 18:35:41 GMT"",
<http://web.archive.org/web/20230930050639/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Sat, 30 Sep 2023 05:06:39 GMT"",
<http://web.archive.org/web/20231008104602/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Sun, 08 Oct 2023 10:46:02 GMT"",
<http://web.archive.org/web/20231221193548/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Thu, 21 Dec 2023 19:35:48 GMT"",
<http://web.archive.org/web/20231221193548/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Thu, 21 Dec 2023 19:35:48 GMT"",
<http://web.archive.org/web/20240516090200/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Thu, 16 May 2024 09:02:00 GMT"",
<http://web.archive.org/web/20240927043259/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Fri, 27 Sep 2024 04:32:59 GMT"",
<http://web.archive.org/web/20241125043611/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Mon, 25 Nov 2024 04:36:11 GMT"",
<http://web.archive.org/web/20241127224535/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Wed, 27 Nov 2024 22:45:35 GMT"",
<http://web.archive.org/web/20250201010020/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Sat, 01 Feb 2025 01:00:20 GMT"",
<http://web.archive.org/web/20250201211903/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Sat, 01 Feb 2025 21:19:03 GMT"",
<http://web.archive.org/web/20250202181337/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Sun, 02 Feb 2025 18:13:37 GMT"",
<http://web.archive.org/web/20250204165150/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Tue, 04 Feb 2025 16:51:50 GMT"",
<http://web.archive.org/web/20250207231425/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Fri, 07 Feb 2025 23:14:25 GMT"",
<http://web.archive.org/web/20250211174310/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv/>; rel=""memento""; datetime=""Tue, 11 Feb 2025 17:43:10 GMT"",
<http://web.archive.org/web/20250211174327/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Tue, 11 Feb 2025 17:43:27 GMT"",
<http://web.archive.org/web/20250211174328/https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv>; rel=""memento""; datetime=""Tue, 11 Feb 2025 17:43:28 GMT""
","{'name': 'National Immunization Survey Adult COVID Module (NIS-ACM): Trends in Behavioral Indicators Among Unvaccinated People', 'id': 'qz99-wyhv', 'description': 'National Immunization Survey-Adult COVID Module (NIS-ACM): CDC is providing information on COVID-19 vaccine confidence to supplement vaccine administration data. Trends in behavioral indicators represent the percent of unvaccinated people responding to each of the indicators by intent status and by week for the national-level view, and by month for the jurisdiction-level view.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/qz99-wyhv'}"
National Immunization Survey Adult COVID Module (NIS-ACM): Trends in Vaccination Status and Intent,akkj-j5ru,akkj-j5ru_1736714664.627401_National_Immunization_Survey_Adult_COVID_Module__NIS-ACM___Trends_in_Vaccination_Status_and_Intent_20250112.csv.gz,2025-01-12 20:44:24 UTC,https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/akkj-j5ru,"National Immunization Survey-Adult COVID Module (NIS-ACM): CDC is providing information on COVID-19 vaccine confidence to supplement vaccine administration data. These data represent trends in vaccination status and intent by week for the national-level view, and by month for the jurisdiction-level view.",,"{'name': 'National Immunization Survey Adult COVID Module (NIS-ACM): Trends in Vaccination Status and Intent', 'id': 'akkj-j5ru', 'description': 'National Immunization Survey-Adult COVID Module (NIS-ACM): CDC is providing information on COVID-19 vaccine confidence to supplement vaccine administration data. These data represent trends in vaccination status and intent by week for the national-level view, and by month for the jurisdiction-level view.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/akkj-j5ru'}"
National Immunization Survey Adult COVID Module (NIS-ACM): Vaccination Status and Intent by Demographics,iwxc-qftf,iwxc-qftf_1736713794.403411_National_Immunization_Survey_Adult_COVID_Module__NIS-ACM___Vaccination_Status_and_Intent_by_Demographics_20250112.csv.gz,2025-01-12 20:29:54 UTC,https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/iwxc-qftf,"National Immunization Survey Adult COVID Module (NIS-ACM): CDC is providing information on COVID-19 vaccine confidence to supplement vaccine administration data. These data represent trends in vaccination status and intent by demographics. 

Following collection of August 2021 survey data, an error in data processing led to incorrect categorization of some survey respondents; some respondents who should have been categorized as MSA: Principal City instead were categorized as MSA: Non-Principal City. Data downloaded during the period September 12, 2021 through September 30, 2021 may have incorrect estimates by MSA status, SVI of county of residence, and political leaning of county of residence.",,"{'name': 'National Immunization Survey Adult COVID Module (NIS-ACM): Vaccination Status and Intent by Demographics', 'id': 'iwxc-qftf', 'description': 'National Immunization Survey Adult COVID Module (NIS-ACM): CDC is providing information on COVID-19 vaccine confidence to supplement vaccine administration data. These data represent trends in vaccination status and intent by demographics. \n\nFollowing collection of August 2021 survey data, an error in data processing led to incorrect categorization of some survey respondents; some respondents who should have been categorized as MSA: Principal City instead were categorized as MSA: Non-Principal City. Data downloaded during the period September 12, 2021 through September 30, 2021 may have incorrect estimates by MSA status, SVI of county of residence, and political leaning of county of residence.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/iwxc-qftf'}"
National Immunization Survey Child COVID Module (NIS-CCM): COVIDVaxViews| Data | Centers for Disease Control and Prevention (cdc.gov),s5a6-fn5p,s5a6-fn5p_1736736280.008078_National_Immunization_Survey_Child_COVID_Module__NIS-CCM___COVIDVaxViews__Data___Centers_for_Disease_Control_and_Prevention__cdc.gov__20250113.csv.gz,2025-01-13 02:44:40 UTC,https://data.cdc.gov/Child-Vaccinations/National-Immunization-Survey-Child-COVID-Module-NI/s5a6-fn5p,"National Immunization Survey Child COVID Module (NIS-CCM): CDC is providing information on COVID-19 vaccine uptake and confidence. These data represent trends in vaccination status and intent, and other behavioral indicators, by demographics and other characteristics.",,"{'name': 'National Immunization Survey Child COVID Module (NIS-CCM): COVIDVaxViews| Data | Centers for Disease Control and Prevention (cdc.gov)', 'id': 's5a6-fn5p', 'description': 'National Immunization Survey Child COVID Module (NIS-CCM): CDC is providing information on COVID-19 vaccine uptake and confidence. These data represent trends in vaccination status and intent, and other behavioral indicators, by demographics and other characteristics.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Child-Vaccinations/National-Immunization-Survey-Child-COVID-Module-NI/s5a6-fn5p'}"
National Immunization Survey Child COVID Module (NIS-CCM): COVIDVaxViews| Data | Centers for Disease Control and Prevention (cdc.gov)-Archived,uny6-e3dx,uny6-e3dx_1736714594.129144_National_Immunization_Survey_Child_COVID_Module__NIS-CCM___COVIDVaxViews__Data___Centers_for_Disease_Control_and_Prevention__cdc.gov_-Archived_20250112.csv.gz,2025-01-12 20:43:14 UTC,https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Child-COVID-Module-NI/uny6-e3dx,"National Immunization Survey Child COVID Module (NIS-CCM): CDC is providing information on COVID-19 vaccine confidence to supplement vaccine administration data.  These data represent trends in vaccination status and intent, and other behavioral indicators, by demographics and other characteristics.",,"{'name': 'National Immunization Survey Child COVID Module (NIS-CCM): COVIDVaxViews| Data | Centers for Disease Control and Prevention (cdc.gov)-Archived', 'id': 'uny6-e3dx', 'description': 'National Immunization Survey Child COVID Module (NIS-CCM): CDC is providing information on COVID-19 vaccine confidence to supplement vaccine administration data.  These data represent trends in vaccination status and intent, and other behavioral indicators, by demographics and other characteristics.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Child-COVID-Module-NI/uny6-e3dx'}"
National Immunization Survey Child COVID Module (NIS-CCM): Vaccination Status and Intent by Demographics | Data | Centers for Disease Control and Prevention (cdc.gov),gr26-95h2,gr26-95h2_1736716126.898011_National_Immunization_Survey_Child_COVID_Module__NIS-CCM___Vaccination_Status_and_Intent_by_Demographics___Data___Centers_for_Disease_Control_and_Prevention__cdc.gov__20250112.csv.gz,2025-01-12 21:08:46 UTC,https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Child-COVID-Module-NI/gr26-95h2,"National Immunization Survey Child COVID Module (NIS-CCM): CDC is providing information on COVID-19 vaccine confidence to supplement vaccine administration data. These data represent trends in vaccination status and intent, and other behavioral indicators, by demographics and other characteristics.",,"{'name': 'National Immunization Survey Child COVID Module (NIS-CCM): Vaccination Status and Intent by Demographics | Data | Centers for Disease Control and Prevention (cdc.gov)', 'id': 'gr26-95h2', 'description': 'National Immunization Survey Child COVID Module (NIS-CCM): CDC is providing information on COVID-19 vaccine confidence to supplement vaccine administration data. These data represent trends in vaccination status and intent, and other behavioral indicators, by demographics and other characteristics.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Child-COVID-Module-NI/gr26-95h2'}"
Nationwide Commercial Laboratory Seroprevalence Survey,d2tw-32xv,d2tw-32xv_1736711107.883582_Nationwide_Commercial_Laboratory_Seroprevalence_Survey_20250112.csv.gz,2025-01-12 19:45:07 UTC,https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv,"CDC is working with commercial laboratories to conduct large-scale geographic seroprevalence surveys to estimate the percentage of people who were previously infected with SARS-CoV-2, the virus that causes COVID-19 disease. The strategy involves working with state, local, territorial, academic, and commercial partners to better understand COVID-19 in the United States using serology (antibody) testing for surveillance (“seroprevalence surveys” or “serosurveys”). For the surveys, de-identified clinical blood samples are tested for antibodies to SARS-CoV-2.

This dataset contains the data used to by the Nationwide Commercial Laboratory Seroprevalence Survey interactive visualization available at <a href=""https://covid.cdc.gov/covid-data-tracker/#national-lab"">https://covid.cdc.gov/covid-data-tracker/#national-lab</a>.

Additional information is available at <a href=""https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/commercial-lab-surveys.html"">https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/commercial-lab-surveys.html</a>.","<https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""original"",
<http://web.archive.org/web/timemap/link/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""self""; type=""application/link-format""; from=""Wed, 30 Dec 2020 00:14:02 GMT"",
<http://web.archive.org/web/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""timegate"",
<http://web.archive.org/web/20201230001402/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""first memento""; datetime=""Wed, 30 Dec 2020 00:14:02 GMT"",
<http://web.archive.org/web/20210117104110/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""memento""; datetime=""Sun, 17 Jan 2021 10:41:10 GMT"",
<http://web.archive.org/web/20210226165040/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""memento""; datetime=""Fri, 26 Feb 2021 16:50:40 GMT"",
<http://web.archive.org/web/20210320171339/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""memento""; datetime=""Sat, 20 Mar 2021 17:13:39 GMT"",
<http://web.archive.org/web/20210424132834/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""memento""; datetime=""Sat, 24 Apr 2021 13:28:34 GMT"",
<http://web.archive.org/web/20210508084517/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""memento""; datetime=""Sat, 08 May 2021 08:45:17 GMT"",
<http://web.archive.org/web/20210508084519/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""memento""; datetime=""Sat, 08 May 2021 08:45:19 GMT"",
<http://web.archive.org/web/20210720112531/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""memento""; datetime=""Tue, 20 Jul 2021 11:25:31 GMT"",
<http://web.archive.org/web/20210720112533/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""memento""; datetime=""Tue, 20 Jul 2021 11:25:33 GMT"",
<http://web.archive.org/web/20220217023346/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""memento""; datetime=""Thu, 17 Feb 2022 02:33:46 GMT"",
<http://web.archive.org/web/20220426215833/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv/>; rel=""memento""; datetime=""Tue, 26 Apr 2022 21:58:33 GMT"",
<http://web.archive.org/web/20220723063859/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""memento""; datetime=""Sat, 23 Jul 2022 06:38:59 GMT"",
<http://web.archive.org/web/20220813033335/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""memento""; datetime=""Sat, 13 Aug 2022 03:33:35 GMT"",
<http://web.archive.org/web/20220827195518/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""memento""; datetime=""Sat, 27 Aug 2022 19:55:18 GMT"",
<http://web.archive.org/web/20220901054309/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""memento""; datetime=""Thu, 01 Sep 2022 05:43:09 GMT"",
<http://web.archive.org/web/20220910200957/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""memento""; datetime=""Sat, 10 Sep 2022 20:09:57 GMT"",
<http://web.archive.org/web/20221022190721/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""memento""; datetime=""Sat, 22 Oct 2022 19:07:21 GMT"",
<http://web.archive.org/web/20221112173358/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""memento""; datetime=""Sat, 12 Nov 2022 17:33:58 GMT"",
<http://web.archive.org/web/20221119164527/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""memento""; datetime=""Sat, 19 Nov 2022 16:45:27 GMT"",
<http://web.archive.org/web/20221204163447/http://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""memento""; datetime=""Sun, 04 Dec 2022 16:34:47 GMT"",
<http://web.archive.org/web/20221217195825/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""memento""; datetime=""Sat, 17 Dec 2022 19:58:25 GMT"",
<http://web.archive.org/web/20221219151204/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""memento""; datetime=""Mon, 19 Dec 2022 15:12:04 GMT"",
<http://web.archive.org/web/20230109205956/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""memento""; datetime=""Mon, 09 Jan 2023 20:59:56 GMT"",
<http://web.archive.org/web/20230210042234/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""memento""; datetime=""Fri, 10 Feb 2023 04:22:34 GMT"",
<http://web.archive.org/web/20230216001544/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""memento""; datetime=""Thu, 16 Feb 2023 00:15:44 GMT"",
<http://web.archive.org/web/20230309170425/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""memento""; datetime=""Thu, 09 Mar 2023 17:04:25 GMT"",
<http://web.archive.org/web/20230409152311/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""memento""; datetime=""Sun, 09 Apr 2023 15:23:11 GMT"",
<http://web.archive.org/web/20230415070935/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""memento""; datetime=""Sat, 15 Apr 2023 07:09:35 GMT"",
<http://web.archive.org/web/20230422161626/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""memento""; datetime=""Sat, 22 Apr 2023 16:16:26 GMT"",
<http://web.archive.org/web/20230509133935/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""memento""; datetime=""Tue, 09 May 2023 13:39:35 GMT"",
<http://web.archive.org/web/20230526215107/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""memento""; datetime=""Fri, 26 May 2023 21:51:07 GMT"",
<http://web.archive.org/web/20230527131052/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""memento""; datetime=""Sat, 27 May 2023 13:10:52 GMT"",
<http://web.archive.org/web/20230603021154/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""memento""; datetime=""Sat, 03 Jun 2023 02:11:54 GMT"",
<http://web.archive.org/web/20230610125311/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""memento""; datetime=""Sat, 10 Jun 2023 12:53:11 GMT"",
<http://web.archive.org/web/20230617132835/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""memento""; datetime=""Sat, 17 Jun 2023 13:28:35 GMT"",
<http://web.archive.org/web/20230712030554/http://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""memento""; datetime=""Wed, 12 Jul 2023 03:05:54 GMT"",
<http://web.archive.org/web/20230712030554/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""memento""; datetime=""Wed, 12 Jul 2023 03:05:54 GMT"",
<http://web.archive.org/web/20230715053514/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""memento""; datetime=""Sat, 15 Jul 2023 05:35:14 GMT"",
<http://web.archive.org/web/20230812093635/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""memento""; datetime=""Sat, 12 Aug 2023 09:36:35 GMT"",
<http://web.archive.org/web/20230930001410/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""memento""; datetime=""Sat, 30 Sep 2023 00:14:10 GMT"",
<http://web.archive.org/web/20231008104410/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""memento""; datetime=""Sun, 08 Oct 2023 10:44:10 GMT"",
<http://web.archive.org/web/20231221193050/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""memento""; datetime=""Thu, 21 Dec 2023 19:30:50 GMT"",
<http://web.archive.org/web/20231221193050/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""memento""; datetime=""Thu, 21 Dec 2023 19:30:50 GMT"",
<http://web.archive.org/web/20240221230106/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""memento""; datetime=""Wed, 21 Feb 2024 23:01:06 GMT"",
<http://web.archive.org/web/20240516090019/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""memento""; datetime=""Thu, 16 May 2024 09:00:19 GMT"",
<http://web.archive.org/web/20240913160114/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""memento""; datetime=""Fri, 13 Sep 2024 16:01:14 GMT"",
<http://web.archive.org/web/20240927210903/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""memento""; datetime=""Fri, 27 Sep 2024 21:09:03 GMT"",
<http://web.archive.org/web/20241125043541/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""memento""; datetime=""Mon, 25 Nov 2024 04:35:41 GMT"",
<http://web.archive.org/web/20241126165953/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""memento""; datetime=""Tue, 26 Nov 2024 16:59:53 GMT"",
<http://web.archive.org/web/20250127233001/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""memento""; datetime=""Mon, 27 Jan 2025 23:30:01 GMT"",
<http://web.archive.org/web/20250201011825/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""memento""; datetime=""Sat, 01 Feb 2025 01:18:25 GMT"",
<http://web.archive.org/web/20250201205208/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""memento""; datetime=""Sat, 01 Feb 2025 20:52:08 GMT"",
<http://web.archive.org/web/20250202220411/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""memento""; datetime=""Sun, 02 Feb 2025 22:04:11 GMT"",
<http://web.archive.org/web/20250203195839/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""memento""; datetime=""Mon, 03 Feb 2025 19:58:39 GMT"",
<http://web.archive.org/web/20250208180901/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""memento""; datetime=""Sat, 08 Feb 2025 18:09:01 GMT"",
<http://web.archive.org/web/20250209020457/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""memento""; datetime=""Sun, 09 Feb 2025 02:04:57 GMT"",
<http://web.archive.org/web/20250209020458/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv>; rel=""memento""; datetime=""Sun, 09 Feb 2025 02:04:58 GMT"",
<http://web.archive.org/web/20250209020500/https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv/>; rel=""memento""; datetime=""Sun, 09 Feb 2025 02:05:00 GMT""
","{'name': 'Nationwide Commercial Laboratory Seroprevalence Survey', 'id': 'd2tw-32xv', 'description': 'CDC is working with commercial laboratories to conduct large-scale geographic seroprevalence surveys to estimate the percentage of people who were previously infected with SARS-CoV-2, the virus that causes COVID-19 disease. The strategy involves working with state, local, territorial, academic, and commercial partners to better understand COVID-19 in the United States using serology (antibody) testing for surveillance (“seroprevalence surveys” or “serosurveys”). For the surveys, de-identified clinical blood samples are tested for antibodies to SARS-CoV-2.\n\nThis dataset contains the data used to by the Nationwide Commercial Laboratory Seroprevalence Survey interactive visualization available at <a href=""https://covid.cdc.gov/covid-data-tracker/#national-lab"">https://covid.cdc.gov/covid-data-tracker/#national-lab</a>.\n\nAdditional information is available at <a href=""https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/commercial-lab-surveys.html"">https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/commercial-lab-surveys.html</a>.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Laboratory-Surveillance/Nationwide-Commercial-Laboratory-Seroprevalence-Su/d2tw-32xv'}"
New Chikungunya Cases Reported in the Americas,e9r5-5hjr,e9r5-5hjr_1736726758.089300_New_Chikungunya_Cases_Reported_in_the_Americas_20250113.csv.gz,2025-01-13 00:05:58 UTC,https://data.cdc.gov/Health-Statistics/New-Chikungunya-Cases-Reported-in-the-Americas/e9r5-5hjr,Derived from Pan American Health Organization reports: http://www.paho.org/hq/index.php?option=com_topics&view=article&id=343&Itemid=40931,,"{'name': 'New Chikungunya Cases Reported in the Americas', 'id': 'e9r5-5hjr', 'description': 'Derived from Pan American Health Organization reports: http://www.paho.org/hq/index.php?option=com_topics&view=article&id=343&Itemid=40931', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Health-Statistics/New-Chikungunya-Cases-Reported-in-the-Americas/e9r5-5hjr'}"
"Normal weight, overweight, and obesity among adults aged 20 and over, by selected characteristics: United States",3nzu-udr9,3nzu-udr9_1736713849.187942_Normal_weight__overweight__and_obesity_among_adults_aged_20_and_over__by_selected_characteristics__United_States_20250112.csv.gz,2025-01-12 20:30:49 UTC,https://data.cdc.gov/NCHS/Normal-weight-overweight-and-obesity-among-adults-/3nzu-udr9,"Data on normal weight, overweight, and obesity among adults aged 20 and over by selected population characteristics. Please refer to the PDF or Excel version of this table in the HUS 2019 Data Finder (https://www.cdc.gov/nchs/hus/contents2019.htm) for critical information about measures, definitions, and changes over time. 

SOURCE: NCHS, National Health and Nutrition Examination Survey. For more information on the National Health and Nutrition Examination Survey, see the corresponding Appendix entry at https://www.cdc.gov/nchs/data/hus/hus19-appendix-508.pdf.",,"{'name': 'Normal weight, overweight, and obesity among adults aged 20 and over, by selected characteristics: United States', 'id': '3nzu-udr9', 'description': 'Data on normal weight, overweight, and obesity among adults aged 20 and over by selected population characteristics. Please refer to the PDF or Excel version of this table in the HUS 2019 Data Finder (https://www.cdc.gov/nchs/hus/contents2019.htm) for critical information about measures, definitions, and changes over time. \n\nSOURCE: NCHS, National Health and Nutrition Examination Survey. For more information on the National Health and Nutrition Examination Survey, see the corresponding Appendix entry at https://www.cdc.gov/nchs/data/hus/hus19-appendix-508.pdf.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Normal-weight-overweight-and-obesity-among-adults-/3nzu-udr9'}"
Nowcast Predictions for Chikungunya Virus-Infected Travelers,2sxq-n8zu,2sxq-n8zu_1736720512.406460_Nowcast_Predictions_for_Chikungunya_Virus-Infected_Travelers_20250112.csv.gz,2025-01-12 22:21:52 UTC,https://data.cdc.gov/dataset/Nowcast-Predictions-for-Chikungunya-Virus-Infected/2sxq-n8zu,Interactive visualization: http://www.cdc.gov/chikungunya/modeling/index.html. This dataset contains monthly predictions for the spread of chikungunya virus transmission. A full description of the methods is available at: http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0104915.,,"{'name': 'Nowcast Predictions for Chikungunya Virus-Infected Travelers', 'id': '2sxq-n8zu', 'description': 'Interactive visualization: http://www.cdc.gov/chikungunya/modeling/index.html. This dataset contains monthly predictions for the spread of chikungunya virus transmission. A full description of the methods is available at: http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0104915.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/dataset/Nowcast-Predictions-for-Chikungunya-Virus-Infected/2sxq-n8zu'}"
Nowcast Predictions for Local Transmission of Chikungunya Virus,7njk-uncd,7njk-uncd_1736711066.778192_Nowcast_Predictions_for_Local_Transmission_of_Chikungunya_Virus_20250112.csv.gz,2025-01-12 19:44:26 UTC,https://data.cdc.gov/dataset/Nowcast-Predictions-for-Local-Transmission-of-Chik/7njk-uncd,Interactive visualization: http://www.cdc.gov/chikungunya/modeling/index.html. This dataset contains monthly predictions for the spread of chikungunya virus transmission. A full description of the methods is available at: http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0104915.,,"{'name': 'Nowcast Predictions for Local Transmission of Chikungunya Virus', 'id': '7njk-uncd', 'description': 'Interactive visualization: http://www.cdc.gov/chikungunya/modeling/index.html. This dataset contains monthly predictions for the spread of chikungunya virus transmission. A full description of the methods is available at: http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0104915.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/dataset/Nowcast-Predictions-for-Local-Transmission-of-Chik/7njk-uncd'}"
"Number of Reported Malaria Cases by County— United States, 2016",r3zz-ivb8,r3zz-ivb8_1736727827.092794_Number_of_Reported_Malaria_Cases_by_County__United_States__2016_20250113.csv.gz,2025-01-13 00:23:47 UTC,https://data.cdc.gov/Global-Health/Number-of-Reported-Malaria-Cases-by-County-United-/r3zz-ivb8,"This dataset contains deidentified data from the National Malaria Surveillance System on the number of malaria cases reported in the United States in 2016, by county. Only counties reporting five or more cases are included in this dataset.",,"{'name': 'Number of Reported Malaria Cases by County— United States, 2016', 'id': 'r3zz-ivb8', 'description': 'This dataset contains deidentified data from the National Malaria Surveillance System on the number of malaria cases reported in the United States in 2016, by county. Only counties reporting five or more cases are included in this dataset.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Global-Health/Number-of-Reported-Malaria-Cases-by-County-United-/r3zz-ivb8'}"
"Number of Reported Malaria Cases by County— United States, 2017",puzh-5wax,puzh-5wax_1736722422.288682_Number_of_Reported_Malaria_Cases_by_County__United_States__2017_20250112.csv.gz,2025-01-12 22:53:42 UTC,https://data.cdc.gov/Global-Health/Number-of-Reported-Malaria-Cases-by-County-United-/puzh-5wax,"This dataset contains deidentified data from the National Malaria Surveillance System on the number of malaria cases reported in the United States in 2017, by county. Only counties reporting five or more cases are included in this dataset.",,"{'name': 'Number of Reported Malaria Cases by County— United States, 2017', 'id': 'puzh-5wax', 'description': 'This dataset contains deidentified data from the National Malaria Surveillance System on the number of malaria cases reported in the United States in 2017, by county. Only counties reporting five or more cases are included in this dataset.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Global-Health/Number-of-Reported-Malaria-Cases-by-County-United-/puzh-5wax'}"
"Nutrition, Physical Activity, and Obesity - American Community Survey",8mrp-rmkw,8mrp-rmkw_1736710688.230111_Nutrition__Physical_Activity__and_Obesity_-_American_Community_Survey_20250112.csv.gz,2025-01-12 19:38:08 UTC,https://data.cdc.gov/Nutrition-Physical-Activity-and-Obesity/Nutrition-Physical-Activity-and-Obesity-American-C/8mrp-rmkw,"This dataset includes select data from the U.S. Census Bureau's American Community Survey (ACS) on the percent of adults who bike or walk to work. This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding. For more information about ACS visit https://www.census.gov/programs-surveys/acs/.","<https://data.cdc.gov/Nutrition-Physical-Activity-and-Obesity/Nutrition-Physical-Activity-and-Obesity-American-C/8mrp-rmkw>; rel=""original"",
<http://web.archive.org/web/timemap/link/https://data.cdc.gov/Nutrition-Physical-Activity-and-Obesity/Nutrition-Physical-Activity-and-Obesity-American-C/8mrp-rmkw>; rel=""self""; type=""application/link-format""; from=""Thu, 10 Aug 2023 10:02:29 GMT"",
<http://web.archive.org/web/https://data.cdc.gov/Nutrition-Physical-Activity-and-Obesity/Nutrition-Physical-Activity-and-Obesity-American-C/8mrp-rmkw>; rel=""timegate"",
<http://web.archive.org/web/20230810100229/https://data.cdc.gov/Nutrition-Physical-Activity-and-Obesity/Nutrition-Physical-Activity-and-Obesity-American-C/8mrp-rmkw>; rel=""first memento""; datetime=""Thu, 10 Aug 2023 10:02:29 GMT"",
<http://web.archive.org/web/20230810220434/https://data.cdc.gov/Nutrition-Physical-Activity-and-Obesity/Nutrition-Physical-Activity-and-Obesity-American-C/8mrp-rmkw>; rel=""memento""; datetime=""Thu, 10 Aug 2023 22:04:34 GMT"",
<http://web.archive.org/web/20240927110851/https://data.cdc.gov/Nutrition-Physical-Activity-and-Obesity/Nutrition-Physical-Activity-and-Obesity-American-C/8mrp-rmkw>; rel=""memento""; datetime=""Fri, 27 Sep 2024 11:08:51 GMT"",
<http://web.archive.org/web/20241125151250/https://data.cdc.gov/Nutrition-Physical-Activity-and-Obesity/Nutrition-Physical-Activity-and-Obesity-American-C/8mrp-rmkw>; rel=""memento""; datetime=""Mon, 25 Nov 2024 15:12:50 GMT"",
<http://web.archive.org/web/20241128090847/https://data.cdc.gov/Nutrition-Physical-Activity-and-Obesity/Nutrition-Physical-Activity-and-Obesity-American-C/8mrp-rmkw>; rel=""memento""; datetime=""Thu, 28 Nov 2024 09:08:47 GMT"",
<http://web.archive.org/web/20241130181427/https://data.cdc.gov/Nutrition-Physical-Activity-and-Obesity/Nutrition-Physical-Activity-and-Obesity-American-C/8mrp-rmkw>; rel=""memento""; datetime=""Sat, 30 Nov 2024 18:14:27 GMT"",
<http://web.archive.org/web/20250201013723/https://data.cdc.gov/Nutrition-Physical-Activity-and-Obesity/Nutrition-Physical-Activity-and-Obesity-American-C/8mrp-rmkw>; rel=""memento""; datetime=""Sat, 01 Feb 2025 01:37:23 GMT"",
<http://web.archive.org/web/20250201204950/https://data.cdc.gov/Nutrition-Physical-Activity-and-Obesity/Nutrition-Physical-Activity-and-Obesity-American-C/8mrp-rmkw>; rel=""memento""; datetime=""Sat, 01 Feb 2025 20:49:50 GMT"",
<http://web.archive.org/web/20250202091649/https://data.cdc.gov/Nutrition-Physical-Activity-and-Obesity/Nutrition-Physical-Activity-and-Obesity-American-C/8mrp-rmkw>; rel=""memento""; datetime=""Sun, 02 Feb 2025 09:16:49 GMT"",
<http://web.archive.org/web/20250202123845/https://data.cdc.gov/Nutrition-Physical-Activity-and-Obesity/Nutrition-Physical-Activity-and-Obesity-American-C/8mrp-rmkw>; rel=""memento""; datetime=""Sun, 02 Feb 2025 12:38:45 GMT"",
<http://web.archive.org/web/20250203151722/https://data.cdc.gov/Nutrition-Physical-Activity-and-Obesity/Nutrition-Physical-Activity-and-Obesity-American-C/8mrp-rmkw>; rel=""memento""; datetime=""Mon, 03 Feb 2025 15:17:22 GMT"",
<http://web.archive.org/web/20250206102707/https://data.cdc.gov/Nutrition-Physical-Activity-and-Obesity/Nutrition-Physical-Activity-and-Obesity-American-C/8mrp-rmkw/>; rel=""memento""; datetime=""Thu, 06 Feb 2025 10:27:07 GMT"",
<http://web.archive.org/web/20250206102720/https://data.cdc.gov/Nutrition-Physical-Activity-and-Obesity/Nutrition-Physical-Activity-and-Obesity-American-C/8mrp-rmkw>; rel=""memento""; datetime=""Thu, 06 Feb 2025 10:27:20 GMT"",
<http://web.archive.org/web/20250206102725/https://data.cdc.gov/Nutrition-Physical-Activity-and-Obesity/Nutrition-Physical-Activity-and-Obesity-American-C/8mrp-rmkw>; rel=""memento""; datetime=""Thu, 06 Feb 2025 10:27:25 GMT""
","{'name': 'Nutrition, Physical Activity, and Obesity - American Community Survey', 'id': '8mrp-rmkw', 'description': ""This dataset includes select data from the U.S. Census Bureau's American Community Survey (ACS) on the percent of adults who bike or walk to work. This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding. For more information about ACS visit https://www.census.gov/programs-surveys/acs/."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Nutrition-Physical-Activity-and-Obesity/Nutrition-Physical-Activity-and-Obesity-American-C/8mrp-rmkw'}"
"Nutrition, Physical Activity, and Obesity - Behavioral Risk Factor Surveillance System",hn4x-zwk7,hn4x-zwk7_1736708233.808567_Nutrition__Physical_Activity__and_Obesity_-_Behavioral_Risk_Factor_Surveillance_System_20250112.csv.gz,2025-01-12 18:57:13 UTC,https://data.cdc.gov/Nutrition-Physical-Activity-and-Obesity/Nutrition-Physical-Activity-and-Obesity-Behavioral/hn4x-zwk7,"This dataset includes data on adult's diet, physical activity, and weight status from Behavioral Risk Factor Surveillance System. This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding.",,"{'name': 'Nutrition, Physical Activity, and Obesity - Behavioral Risk Factor Surveillance System', 'id': 'hn4x-zwk7', 'description': ""This dataset includes data on adult's diet, physical activity, and weight status from Behavioral Risk Factor Surveillance System. This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Nutrition-Physical-Activity-and-Obesity/Nutrition-Physical-Activity-and-Obesity-Behavioral/hn4x-zwk7'}"
"Nutrition, Physical Activity, and Obesity - National Immunization Survey (Breastfeeding)",8hxn-cvik,8hxn-cvik_1736714692.076057_Nutrition__Physical_Activity__and_Obesity_-_National_Immunization_Survey__Breastfeeding__20250112.csv.gz,2025-01-12 20:44:52 UTC,https://data.cdc.gov/Nutrition-Physical-Activity-and-Obesity/Nutrition-Physical-Activity-and-Obesity-National-I/8hxn-cvik,"This dataset includes breastfeeding data from the National Immunization Survey (NIS). This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding. For more information about breastfeeding and NIS visit https://www.cdc.gov/breastfeeding/data/nis_data/index.htm.",,"{'name': 'Nutrition, Physical Activity, and Obesity - National Immunization Survey (Breastfeeding)', 'id': '8hxn-cvik', 'description': ""This dataset includes breastfeeding data from the National Immunization Survey (NIS). This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding. For more information about breastfeeding and NIS visit https://www.cdc.gov/breastfeeding/data/nis_data/index.htm."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Nutrition-Physical-Activity-and-Obesity/Nutrition-Physical-Activity-and-Obesity-National-I/8hxn-cvik'}"
"Nutrition, Physical Activity, and Obesity - Policy and Environmental Data",k8w5-7ju6,k8w5-7ju6_1736715849.704613_Nutrition__Physical_Activity__and_Obesity_-_Policy_and_Environmental_Data_20250112.csv.gz,2025-01-12 21:04:09 UTC,https://data.cdc.gov/Nutrition-Physical-Activity-and-Obesity/Nutrition-Physical-Activity-and-Obesity-Policy-and/k8w5-7ju6,"This dataset includes data on policy and environmental supports for physical activity, diet, and breastfeeding. This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding.",,"{'name': 'Nutrition, Physical Activity, and Obesity - Policy and Environmental Data', 'id': 'k8w5-7ju6', 'description': ""This dataset includes data on policy and environmental supports for physical activity, diet, and breastfeeding. This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Nutrition-Physical-Activity-and-Obesity/Nutrition-Physical-Activity-and-Obesity-Policy-and/k8w5-7ju6'}"
"Nutrition, Physical Activity, and Obesity - Women, Infant, and Child",735e-byxc,735e-byxc_1736710701.812723_Nutrition__Physical_Activity__and_Obesity_-_Women__Infant__and_Child_20250112.csv.gz,2025-01-12 19:38:21 UTC,https://data.cdc.gov/Nutrition-Physical-Activity-and-Obesity/Nutrition-Physical-Activity-and-Obesity-Women-Infa/735e-byxc,"This dataset includes data on weight status for children aged 3 months to 4 years old from Women, Infant, and Children Participant and Program Characteristics (WIC-PC). This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding. For more information about WIC-PC visit https://www.fns.usda.gov/wic/national-survey-wic-participants.",,"{'name': 'Nutrition, Physical Activity, and Obesity - Women, Infant, and Child', 'id': '735e-byxc', 'description': ""This dataset includes data on weight status for children aged 3 months to 4 years old from Women, Infant, and Children Participant and Program Characteristics (WIC-PC). This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding. For more information about WIC-PC visit https://www.fns.usda.gov/wic/national-survey-wic-participants."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Nutrition-Physical-Activity-and-Obesity/Nutrition-Physical-Activity-and-Obesity-Women-Infa/735e-byxc'}"
"Nutrition, Physical Activity, and Obesity - Youth Risk Behavior Surveillance System",vba9-s8jp,vba9-s8jp_1736712912.438818_Nutrition__Physical_Activity__and_Obesity_-_Youth_Risk_Behavior_Surveillance_System_20250112.csv.gz,2025-01-12 20:15:12 UTC,https://data.cdc.gov/Nutrition-Physical-Activity-and-Obesity/Nutrition-Physical-Activity-and-Obesity-Youth-Risk/vba9-s8jp,"This dataset includes data on adolescent's diet, physical activity, and weight status from Youth Risk Behavior Surveillance System (YRBSS). This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding. For more information about YRBSS visit https://www.cdc.gov/healthyyouth/data/yrbs/index.htm.",,"{'name': 'Nutrition, Physical Activity, and Obesity - Youth Risk Behavior Surveillance System', 'id': 'vba9-s8jp', 'description': ""This dataset includes data on adolescent's diet, physical activity, and weight status from Youth Risk Behavior Surveillance System (YRBSS). This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding. For more information about YRBSS visit https://www.cdc.gov/healthyyouth/data/yrbs/index.htm."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Nutrition-Physical-Activity-and-Obesity/Nutrition-Physical-Activity-and-Obesity-Youth-Risk/vba9-s8jp'}"
"Obesity among children and adolescents aged 2–19 years, by selected characteristics: United States",9gay-j69q,9gay-j69q_1736715467.737994_Obesity_among_children_and_adolescents_aged_2_19_years__by_selected_characteristics__United_States_20250112.csv.gz,2025-01-12 20:57:47 UTC,https://data.cdc.gov/NCHS/Obesity-among-children-and-adolescents-aged-2-19-y/9gay-j69q,"Data on obesity among children and adolescents aged 2-19 years by selected population characteristics. Please refer to the PDF or Excel version of this table in the HUS 2019 Data Finder (https://www.cdc.gov/nchs/hus/contents2019.htm) for critical information about measures, definitions, and changes over time. 

SOURCE: NCHS, National Health and Nutrition Examination Survey. For more information on the National Health and Nutrition Examination Survey, see the corresponding Appendix entry at https://www.cdc.gov/nchs/data/hus/hus19-appendix-508.pdf.",,"{'name': 'Obesity among children and adolescents aged 2–19 years, by selected characteristics: United States', 'id': '9gay-j69q', 'description': 'Data on obesity among children and adolescents aged 2-19 years by selected population characteristics. Please refer to the PDF or Excel version of this table in the HUS 2019 Data Finder (https://www.cdc.gov/nchs/hus/contents2019.htm) for critical information about measures, definitions, and changes over time. \n\nSOURCE: NCHS, National Health and Nutrition Examination Survey. For more information on the National Health and Nutrition Examination Survey, see the corresponding Appendix entry at https://www.cdc.gov/nchs/data/hus/hus19-appendix-508.pdf.', 'datatype': 'tabular', 'keywords': ['demographics', 'infrastructure', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Obesity-among-children-and-adolescents-aged-2-19-y/9gay-j69q'}"
"Occupant and Alcohol-Impaired Driving Deaths in States, 2005-2014",haed-k2ka,haed-k2ka_1736711877.190993_Occupant_and_Alcohol-Impaired_Driving_Deaths_in_States__2005-2014_20250112.csv.gz,2025-01-12 19:57:57 UTC,https://data.cdc.gov/Motor-Vehicle/Occupant-and-Alcohol-Impaired-Driving-Deaths-in-St/haed-k2ka,"Alcohol-Impaired Driving Fatalities 2005-2014; All persons killed in crashes involving a driver with BAC >= .08 g/dL. Occupant Fatalities 2005-2014; All occupants killed where body type = 1-79. Source: National Highway Traffic Safety Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2005-2013 Final Reports and 2014 Annual Report File",,"{'name': 'Occupant and Alcohol-Impaired Driving Deaths in States, 2005-2014', 'id': 'haed-k2ka', 'description': ""Alcohol-Impaired Driving Fatalities 2005-2014; All persons killed in crashes involving a driver with BAC >= .08 g/dL. Occupant Fatalities 2005-2014; All occupants killed where body type = 1-79. Source: National Highway Traffic Safety Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2005-2013 Final Reports and 2014 Annual Report File"", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Motor-Vehicle/Occupant-and-Alcohol-Impaired-Driving-Deaths-in-St/haed-k2ka'}"
Outbreak Data - Restaurant Grading,iyx3-z4r8,iyx3-z4r8_1736731605.807251_Outbreak_Data_-_Restaurant_Grading_20250113.csv.gz,2025-01-13 01:26:45 UTC,https://data.cdc.gov/Environmental-Health-Toxicology/Outbreak-Data-Restaurant-Grading/iyx3-z4r8,,,"{'name': 'Outbreak Data - Restaurant Grading', 'id': 'iyx3-z4r8', 'description': '', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Environmental-Health-Toxicology/Outbreak-Data-Restaurant-Grading/iyx3-z4r8'}"
Outpatient Respiratory Illness Activity Map,6svj-q4zv,6svj-q4zv_1736716305.296364_Outpatient_Respiratory_Illness_Activity_Map_20250112.csv.gz,2025-01-12 21:11:45 UTC,https://data.cdc.gov/Public-Health-Surveillance/Outpatient-Respiratory-Illness-Activity-Map/6svj-q4zv,"This dataset has been archived and will no longer be updated as of 10/16/2024. For updated data, please refer to the <a href=""https://gis.cdc.gov/grasp/fluview/main.html""><b>ILINet State Activity Indicator Map</b></a>.

Information on outpatient visits to health care providers for respiratory illness referred to as influenza-like illness (ILI) is collected through the U.S. Outpatient Influenza-like Illness Surveillance Network (ILINet). ILINet consists of outpatient healthcare providers in all 50 states, Puerto Rico, the District of Columbia, and the U.S. Virgin Islands. More than 100 million patient visits were reported during the 2022-23 season. Each week, more than 3,000 outpatient health care providers around the country report to CDC the number of patient visits for ILI by age group (0-4 years, 5-24 years, 25-49 years, 50-64 years, and ≥65 years) and the total number of visits for any reason. A subset of providers also reports total visits by age group. For this system, ILI is defined as fever (temperature of 100°F [37.8°C] or greater) and a cough and/or a sore throat. Activity levels are based on the percent of outpatient visits due to ILI in a jurisdiction compared to the average percent of ILI visits that occur during weeks with little or no influenza virus circulation (non-influenza weeks) in that jurisdiction. The number of sites reporting each week is variable; therefore, baselines are adjusted each week based on which sites within each jurisdiction provide data. To perform this adjustment, provider level baseline ILI ratios are calculated for those that have a sufficient reporting history. Providers that do not have the required reporting history to calculate a provider-specific baseline are assigned the baseline ratio for their practice type. The jurisdiction level baseline is then calculated using a weighted sum of the baseline ratios for each contributing provider. 

The activity levels compare the mean reported percent of visits due to ILI during the current week to the mean reported percent of visits due to ILI during non-influenza weeks. The 13 activity levels correspond to the number of standard deviations below, at, or above the mean for the current week compared with the mean during non-influenza weeks. Activity levels are classified as minimal (levels 1-3), low (levels 4-5), moderate (levels 6-7), high (levels 8-10), and very high (levels 11-13). An activity level of 1 corresponds to an ILI percentage below the mean, level 2 corresponds to an ILI percentage less than 1 standard deviation above the mean, level 3 corresponds to an ILI percentage more than 1 but less than 2 standard deviations above the mean, and so on, with an activity level of 10 corresponding to an ILI percentage 8 to 11 standard deviations above the mean. The very high levels correspond to an ILI percentage 12 to 15 standard deviations above the mean for level 11, 16 to 19 standard deviations above the mean for level 12, and 20 or more standard deviations above the mean for level 13. 

Disclaimers: 

The ILI Activity Indicator map reflects the intensity of ILI activity, not the extent of geographic spread of ILI, within a jurisdiction. Therefore, outbreaks occurring in a single area could cause the entire jurisdiction to display high or very high activity levels. In addition, data collected in ILINet may disproportionally represent certain populations within a jurisdiction, and therefore, may not accurately depict the full picture of respiratory illness activity for the entire jurisdiction. Differences in the data presented here by CDC and independently by some health departments likely represent differing levels of data completeness with data presented by the health department likely being more complete. 

More information is available on <a href=""https://gis.cdc.gov/grasp/fluview/main.html"">FluView Interactive</a>.",,"{'name': 'Outpatient Respiratory Illness Activity Map', 'id': '6svj-q4zv', 'description': 'This dataset has been archived and will no longer be updated as of 10/16/2024. For updated data, please refer to the <a href=""https://gis.cdc.gov/grasp/fluview/main.html""><b>ILINet State Activity Indicator Map</b></a>.\n\nInformation on outpatient visits to health care providers for respiratory illness referred to as influenza-like illness (ILI) is collected through the U.S. Outpatient Influenza-like Illness Surveillance Network (ILINet). ILINet consists of outpatient healthcare providers in all 50 states, Puerto Rico, the District of Columbia, and the U.S. Virgin Islands. More than 100 million patient visits were reported during the 2022-23 season. Each week, more than 3,000 outpatient health care providers around the country report to CDC the number of patient visits for ILI by age group (0-4 years, 5-24 years, 25-49 years, 50-64 years, and ≥65 years) and the total number of visits for any reason. A subset of providers also reports total visits by age group. For this system, ILI is defined as fever (temperature of 100°F [37.8°C] or greater) and a cough and/or a sore throat. Activity levels are based on the percent of outpatient visits due to ILI in a jurisdiction compared to the average percent of ILI visits that occur during weeks with little or no influenza virus circulation (non-influenza weeks) in that jurisdiction. The number of sites reporting each week is variable; therefore, baselines are adjusted each week based on which sites within each jurisdiction provide data. To perform this adjustment, provider level baseline ILI ratios are calculated for those that have a sufficient reporting history. Providers that do not have the required reporting history to calculate a provider-specific baseline are assigned the baseline ratio for their practice type. The jurisdiction level baseline is then calculated using a weighted sum of the baseline ratios for each contributing provider. \n\nThe activity levels compare the mean reported percent of visits due to ILI during the current week to the mean reported percent of visits due to ILI during non-influenza weeks. The 13 activity levels correspond to the number of standard deviations below, at, or above the mean for the current week compared with the mean during non-influenza weeks. Activity levels are classified as minimal (levels 1-3), low (levels 4-5), moderate (levels 6-7), high (levels 8-10), and very high (levels 11-13). An activity level of 1 corresponds to an ILI percentage below the mean, level 2 corresponds to an ILI percentage less than 1 standard deviation above the mean, level 3 corresponds to an ILI percentage more than 1 but less than 2 standard deviations above the mean, and so on, with an activity level of 10 corresponding to an ILI percentage 8 to 11 standard deviations above the mean. The very high levels correspond to an ILI percentage 12 to 15 standard deviations above the mean for level 11, 16 to 19 standard deviations above the mean for level 12, and 20 or more standard deviations above the mean for level 13. \n\nDisclaimers: \n\nThe ILI Activity Indicator map reflects the intensity of ILI activity, not the extent of geographic spread of ILI, within a jurisdiction. Therefore, outbreaks occurring in a single area could cause the entire jurisdiction to display high or very high activity levels. In addition, data collected in ILINet may disproportionally represent certain populations within a jurisdiction, and therefore, may not accurately depict the full picture of respiratory illness activity for the entire jurisdiction. Differences in the data presented here by CDC and independently by some health departments likely represent differing levels of data completeness with data presented by the health department likely being more complete. \n\nMore information is available on <a href=""https://gis.cdc.gov/grasp/fluview/main.html"">FluView Interactive</a>.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/Outpatient-Respiratory-Illness-Activity-Map/6svj-q4zv'}"
PLACES and 500 Cities: Data Dictionary,m35w-spkz,m35w-spkz_1736714260.047619_PLACES_and_500_Cities__Data_Dictionary_20250112.csv.gz,2025-01-12 20:37:40 UTC,https://data.cdc.gov/500-Cities-Places/PLACES-and-500-Cities-Data-Dictionary/m35w-spkz,"This dataset provides a data dictionary for PLACES and 500 Cities releases.  For each measure, the data dictionary provides the measure ID, measure full and short name, measure category ID and name, year of BRFSS data used to generate the estimate by release year, and frequency BRFSS collects data about the measure.",,"{'name': 'PLACES and 500 Cities: Data Dictionary', 'id': 'm35w-spkz', 'description': 'This dataset provides a data dictionary for PLACES and 500 Cities releases.  For each measure, the data dictionary provides the measure ID, measure full and short name, measure category ID and name, year of BRFSS data used to generate the estimate by release year, and frequency BRFSS collects data about the measure.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/PLACES-and-500-Cities-Data-Dictionary/m35w-spkz'}"
"PLACES: Census Tract Data (GIS Friendly Format), 2020 release",ib3w-k9rq,ib3w-k9rq_1736723529.307469_PLACES__Census_Tract_Data__GIS_Friendly_Format___2020_release_20250112.csv.gz,2025-01-12 23:12:09 UTC,https://data.cdc.gov/500-Cities-Places/PLACES-Census-Tract-Data-GIS-Friendly-Format-2020-/ib3w-k9rq,"This dataset contains model-based census tract level estimates for the PLACES project 2020 release in GIS-friendly format. The PLACES project is the expansion of the original 500 Cities project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the census tract 2015 boundary file in a GIS system to produce maps for 27 measures at the census tract level. An ArcGIS Online feature service is also available at https://www.arcgis.com/home/item.html?id=8eca985039464f4d83467b8f6aeb1320 for users to make maps online or to add data to desktop GIS software.",,"{'name': 'PLACES: Census Tract Data (GIS Friendly Format), 2020 release', 'id': 'ib3w-k9rq', 'description': 'This dataset contains model-based census tract level estimates for the PLACES project 2020 release in GIS-friendly format. The PLACES project is the expansion of the original 500 Cities project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the census tract 2015 boundary file in a GIS system to produce maps for 27 measures at the census tract level. An ArcGIS Online feature service is also available at https://www.arcgis.com/home/item.html?id=8eca985039464f4d83467b8f6aeb1320 for users to make maps online or to add data to desktop GIS software.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/PLACES-Census-Tract-Data-GIS-Friendly-Format-2020-/ib3w-k9rq'}"
"PLACES: Census Tract Data (GIS Friendly Format), 2021 release",mb5y-ytti,mb5y-ytti_1736726827.879638_PLACES__Census_Tract_Data__GIS_Friendly_Format___2021_release_20250113.csv.gz,2025-01-13 00:07:07 UTC,https://data.cdc.gov/500-Cities-Places/PLACES-Census-Tract-Data-GIS-Friendly-Format-2021-/mb5y-ytti,"This dataset contains model-based census tract level estimates for the PLACES 2021 release in GIS-friendly format. PLACES is the expansion of the original 500 Cities project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015–2019 or 2014–2018 estimates. The 2021 release uses 2019 BRFSS data for 22 measures and 2018 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours a night). Seven measures are based on the 2018 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the census tract 2015 boundary file in a GIS system to produce maps for 29 measures at the census tract level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. 
https://cdcarcgis.maps.arcgis.com/home/item.html?id=024cf3f6f59e49fe8c70e0e5410fe3cf",,"{'name': 'PLACES: Census Tract Data (GIS Friendly Format), 2021 release', 'id': 'mb5y-ytti', 'description': 'This dataset contains model-based census tract level estimates for the PLACES 2021 release in GIS-friendly format. PLACES is the expansion of the original 500 Cities project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015–2019 or 2014–2018 estimates. The 2021 release uses 2019 BRFSS data for 22 measures and 2018 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours a night). Seven measures are based on the 2018 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the census tract 2015 boundary file in a GIS system to produce maps for 29 measures at the census tract level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. \nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=024cf3f6f59e49fe8c70e0e5410fe3cf', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/PLACES-Census-Tract-Data-GIS-Friendly-Format-2021-/mb5y-ytti'}"
"PLACES: Census Tract Data (GIS Friendly Format), 2022 release",shc3-fzig,shc3-fzig_1736721682.110003_PLACES__Census_Tract_Data__GIS_Friendly_Format___2022_release_20250112.csv.gz,2025-01-12 22:41:22 UTC,https://data.cdc.gov/500-Cities-Places/PLACES-Census-Tract-Data-GIS-Friendly-Format-2022-/shc3-fzig,"This dataset contains model-based census tract level estimates for the PLACES 2022 release in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015–2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. These data can be joined with the census tract 2015 boundary file in a GIS system to produce maps for 29 measures at the census tract level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.
https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7",,"{'name': 'PLACES: Census Tract Data (GIS Friendly Format), 2022 release', 'id': 'shc3-fzig', 'description': 'This dataset contains model-based census tract level estimates for the PLACES 2022 release in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015–2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. These data can be joined with the census tract 2015 boundary file in a GIS system to produce maps for 29 measures at the census tract level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/PLACES-Census-Tract-Data-GIS-Friendly-Format-2022-/shc3-fzig'}"
"PLACES: Census Tract Data (GIS Friendly Format), 2023 release",hky2-3tpn,hky2-3tpn_1736737555.983991_PLACES__Census_Tract_Data__GIS_Friendly_Format___2023_release_20250113.csv.gz,2025-01-13 03:05:55 UTC,https://data.cdc.gov/500-Cities-Places/PLACES-Census-Tract-Data-GIS-Friendly-Format-2023-/hky2-3tpn,"This dataset contains model-based census tract level estimates in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015–2019 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. These data can be joined with the census tract 2015 boundary file in a GIS system to produce maps for 36 measures at the census tract level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.
https://cdcarcgis.maps.arcgis.com/home/item.html?id=2c3deb0c05a748b391ea8c9cf9903588",,"{'name': 'PLACES: Census Tract Data (GIS Friendly Format), 2023 release', 'id': 'hky2-3tpn', 'description': 'This dataset contains model-based census tract level estimates in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015–2019 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. These data can be joined with the census tract 2015 boundary file in a GIS system to produce maps for 36 measures at the census tract level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=2c3deb0c05a748b391ea8c9cf9903588', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/PLACES-Census-Tract-Data-GIS-Friendly-Format-2023-/hky2-3tpn'}"
"PLACES: Census Tract Data (GIS Friendly Format), 2024 release",yjkw-uj5s,yjkw-uj5s_1736711918.156832_PLACES__Census_Tract_Data__GIS_Friendly_Format___2024_release_20250112.csv.gz,2025-01-12 19:58:38 UTC,https://data.cdc.gov/500-Cities-Places/PLACES-Census-Tract-Data-GIS-Friendly-Format-2024-/yjkw-uj5s,"This dataset contains model-based census tract level estimates in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015–2019 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. These data can be joined with the Census tract 2022 boundary file in a GIS system to produce maps for 40 measures at the census tract level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.
https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7",,"{'name': 'PLACES: Census Tract Data (GIS Friendly Format), 2024 release', 'id': 'yjkw-uj5s', 'description': 'This dataset contains model-based census tract level estimates in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015–2019 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. These data can be joined with the Census tract 2022 boundary file in a GIS system to produce maps for 40 measures at the census tract level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/PLACES-Census-Tract-Data-GIS-Friendly-Format-2024-/yjkw-uj5s'}"
"PLACES: County Data (GIS Friendly Format), 2020 release",mssc-ksj7,mssc-ksj7_1736728881.491062_PLACES__County_Data__GIS_Friendly_Format___2020_release_20250113.csv.gz,2025-01-13 00:41:21 UTC,https://data.cdc.gov/500-Cities-Places/PLACES-County-Data-GIS-Friendly-Format-2020-releas/mssc-ksj7,"This dataset contains model-based county-level estimates for the PLACES project 2020 release in GIS-friendly format. The PLACES project is the expansion of the original 500 Cities project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2018 or 2017 county population estimates, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the census 2015 county boundary file in a GIS system to produce maps for 27 measures at the county level. An ArcGIS Online feature service is also available at https://www.arcgis.com/home/item.html?id=8eca985039464f4d83467b8f6aeb1320 for users to make maps online or to add data to desktop GIS software.",,"{'name': 'PLACES: County Data (GIS Friendly Format), 2020 release', 'id': 'mssc-ksj7', 'description': 'This dataset contains model-based county-level estimates for the PLACES project 2020 release in GIS-friendly format. The PLACES project is the expansion of the original 500 Cities project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2018 or 2017 county population estimates, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the census 2015 county boundary file in a GIS system to produce maps for 27 measures at the county level. An ArcGIS Online feature service is also available at https://www.arcgis.com/home/item.html?id=8eca985039464f4d83467b8f6aeb1320 for users to make maps online or to add data to desktop GIS software.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/PLACES-County-Data-GIS-Friendly-Format-2020-releas/mssc-ksj7'}"
"PLACES: County Data (GIS Friendly Format), 2021 release",kmvs-jkvx,kmvs-jkvx_1736729601.491067_PLACES__County_Data__GIS_Friendly_Format___2021_release_20250113.csv.gz,2025-01-13 00:53:21 UTC,https://data.cdc.gov/500-Cities-Places/PLACES-County-Data-GIS-Friendly-Format-2021-releas/kmvs-jkvx,"This dataset contains model-based county-level estimates for the PLACES 2021 release in GIS-friendly format. PLACES is the expansion of the original 500 Cities Project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. Project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2019 or 2018 county population estimates, and American Community Survey (ACS) 2015–2019 or 2014–2018 estimates. The 2021 release uses 2019 BRFSS data for 22 measures and 2018 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours a night). Seven measures are based on the 2018 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the census 2015 county boundary file in a GIS system to produce maps for 29 measures at the county level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=024cf3f6f59e49fe8c70e0e5410fe3cf",,"{'name': 'PLACES: County Data (GIS Friendly Format), 2021 release', 'id': 'kmvs-jkvx', 'description': 'This dataset contains model-based county-level estimates for the PLACES 2021 release in GIS-friendly format. PLACES is the expansion of the original 500 Cities Project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. Project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2019 or 2018 county population estimates, and American Community Survey (ACS) 2015–2019 or 2014–2018 estimates. The 2021 release uses 2019 BRFSS data for 22 measures and 2018 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours a night). Seven measures are based on the 2018 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the census 2015 county boundary file in a GIS system to produce maps for 29 measures at the county level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=024cf3f6f59e49fe8c70e0e5410fe3cf', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/PLACES-County-Data-GIS-Friendly-Format-2021-releas/kmvs-jkvx'}"
"PLACES: County Data (GIS Friendly Format), 2022 release",xyst-f73f,xyst-f73f_1736730524.759196_PLACES__County_Data__GIS_Friendly_Format___2022_release_20250113.csv.gz,2025-01-13 01:08:44 UTC,https://data.cdc.gov/500-Cities-Places/PLACES-County-Data-GIS-Friendly-Format-2022-releas/xyst-f73f,"This dataset contains model-based county-level estimates for the PLACES 2022 release in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. Project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2020 or 2019 county population estimates, and American Community Survey (ACS) 2016–2020 or 2015–2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. These data can be joined with the census 2020 county boundary file in a GIS system to produce maps for 29 measures at the county level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7",,"{'name': 'PLACES: County Data (GIS Friendly Format), 2022 release', 'id': 'xyst-f73f', 'description': 'This dataset contains model-based county-level estimates for the PLACES 2022 release in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. Project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2020 or 2019 county population estimates, and American Community Survey (ACS) 2016–2020 or 2015–2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. These data can be joined with the census 2020 county boundary file in a GIS system to produce maps for 29 measures at the county level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/PLACES-County-Data-GIS-Friendly-Format-2022-releas/xyst-f73f'}"
"PLACES: County Data (GIS Friendly Format), 2023 release",7cmc-7y5g,7cmc-7y5g_1736738549.759260_PLACES__County_Data__GIS_Friendly_Format___2023_release_20250113.csv.gz,2025-01-13 03:22:29 UTC,https://data.cdc.gov/500-Cities-Places/PLACES-County-Data-GIS-Friendly-Format-2023-releas/7cmc-7y5g,"This dataset contains model-based county-level estimates in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. Project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2021 or 2020 county population estimates, and American Community Survey (ACS) 2017–2021 or 2016–2020 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. These data can be joined with the census 2020 county boundary file in a GIS system to produce maps for 36 measures at the county level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.
https://cdcarcgis.maps.arcgis.com/home/item.html?id=2c3deb0c05a748b391ea8c9cf9903588",,"{'name': 'PLACES: County Data (GIS Friendly Format), 2023 release', 'id': '7cmc-7y5g', 'description': 'This dataset contains model-based county-level estimates in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. Project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2021 or 2020 county population estimates, and American Community Survey (ACS) 2017–2021 or 2016–2020 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. These data can be joined with the census 2020 county boundary file in a GIS system to produce maps for 36 measures at the county level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=2c3deb0c05a748b391ea8c9cf9903588', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/PLACES-County-Data-GIS-Friendly-Format-2023-releas/7cmc-7y5g'}"
"PLACES: County Data (GIS Friendly Format), 2024 release",i46a-9kgh,i46a-9kgh_1736714060.099715_PLACES__County_Data__GIS_Friendly_Format___2024_release_20250112.csv.gz,2025-01-12 20:34:20 UTC,https://data.cdc.gov/500-Cities-Places/PLACES-County-Data-GIS-Friendly-Format-2024-releas/i46a-9kgh,"This dataset contains model-based county-level estimates in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. Project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2022 county population estimates, and American Community Survey (ACS) 2018–2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. These data can be joined with the census 2022 county boundary file in a GIS system to produce maps for 40 measures at the county level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7",,"{'name': 'PLACES: County Data (GIS Friendly Format), 2024 release', 'id': 'i46a-9kgh', 'description': 'This dataset contains model-based county-level estimates in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. Project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2022 county population estimates, and American Community Survey (ACS) 2018–2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. These data can be joined with the census 2022 county boundary file in a GIS system to produce maps for 40 measures at the county level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/PLACES-County-Data-GIS-Friendly-Format-2024-releas/i46a-9kgh'}"
"PLACES: Local Data for Better Health, Census Tract Data 2020 release",4ai3-zynv,4ai3-zynv_1736727863.498527_PLACES__Local_Data_for_Better_Health__Census_Tract_Data_2020_release_20250113.csv.gz,2025-01-13 00:24:23 UTC,https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-Census-Tract-D/4ai3-zynv,"This dataset contains model-based census tract-level estimates for the PLACES project 2020 release. The PLACES project is the expansion of the original 500 Cities project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 27 measures: 5 chronic disease-related unhealthy behaviors, 13 health outcomes, and 9 on use of preventive services. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2010 population data, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.",,"{'name': 'PLACES: Local Data for Better Health, Census Tract Data 2020 release', 'id': '4ai3-zynv', 'description': 'This dataset contains model-based census tract-level estimates for the PLACES project 2020 release. The PLACES project is the expansion of the original 500 Cities project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 27 measures: 5 chronic disease-related unhealthy behaviors, 13 health outcomes, and 9 on use of preventive services. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2010 population data, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-Census-Tract-D/4ai3-zynv'}"
"PLACES: Local Data for Better Health, Census Tract Data 2021 release",373s-ayzu,373s-ayzu_1736728137.031406_PLACES__Local_Data_for_Better_Health__Census_Tract_Data_2021_release_20250113.csv.gz,2025-01-13 00:28:57 UTC,https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-Census-Tract-D/373s-ayzu,"This dataset contains model-based census tract-level estimates for the PLACES 2021 release. PLACES is the expansion of the original 500 Cities project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 29 measures: 4 chronic disease-related health risk behaviors, 13 health outcomes, 3 health status, and 9 on use of preventive services. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2010 population data, and American Community Survey (ACS) 2015–019 or 2014–2018 estimates. The 2021 release uses 2019 BRFSS data for 22 measures and 2018 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours a night). Seven measures are based on the 2018 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.",,"{'name': 'PLACES: Local Data for Better Health, Census Tract Data 2021 release', 'id': '373s-ayzu', 'description': 'This dataset contains model-based census tract-level estimates for the PLACES 2021 release. PLACES is the expansion of the original 500 Cities project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 29 measures: 4 chronic disease-related health risk behaviors, 13 health outcomes, 3 health status, and 9 on use of preventive services. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2010 population data, and American Community Survey (ACS) 2015–019 or 2014–2018 estimates. The 2021 release uses 2019 BRFSS data for 22 measures and 2018 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours a night). Seven measures are based on the 2018 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-Census-Tract-D/373s-ayzu'}"
"PLACES: Local Data for Better Health, Census Tract Data 2022 release",nw2y-v4gm,nw2y-v4gm_1736723006.985959_PLACES__Local_Data_for_Better_Health__Census_Tract_Data_2022_release_20250112.csv.gz,2025-01-12 23:03:26 UTC,https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-Census-Tract-D/nw2y-v4gm,"This dataset contains model-based census tract-level estimates for the PLACES 2022 release. PLACES covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 29 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, and 3 for health status. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2010 population data, and American Community Survey 2015–2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.",,"{'name': 'PLACES: Local Data for Better Health, Census Tract Data 2022 release', 'id': 'nw2y-v4gm', 'description': 'This dataset contains model-based census tract-level estimates for the PLACES 2022 release. PLACES covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 29 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, and 3 for health status. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2010 population data, and American Community Survey 2015–2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-Census-Tract-D/nw2y-v4gm'}"
"PLACES: Local Data for Better Health, Census Tract Data 2023 release",em5e-5hvn,em5e-5hvn_1736738399.542270_PLACES__Local_Data_for_Better_Health__Census_Tract_Data_2023_release_20250113.csv.gz,2025-01-13 03:19:59 UTC,https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-Census-Tract-D/em5e-5hvn,"This dataset contains model-based census tract estimates. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 36 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, and 3 for health status. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2010 population data, and American Community Survey 2015–2019 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for seven measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.",,"{'name': 'PLACES: Local Data for Better Health, Census Tract Data 2023 release', 'id': 'em5e-5hvn', 'description': 'This dataset contains model-based census tract estimates. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 36 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, and 3 for health status. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2010 population data, and American Community Survey 2015–2019 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for seven measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-Census-Tract-D/em5e-5hvn'}"
"PLACES: Local Data for Better Health, Census Tract Data 2024 release",cwsq-ngmh,cwsq-ngmh_1736710179.916932_PLACES__Local_Data_for_Better_Health__Census_Tract_Data_2024_release_20250112.csv.gz,2025-01-12 19:29:39 UTC,https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-Census-Tract-D/cwsq-ngmh,"This dataset contains model-based census tract estimates. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 40 measures: 12 for health outcomes, 7 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, 3 for health status, and 7 for health-related social needs. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2020 population data, and American Community Survey 2018–2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.","<https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-Census-Tract-D/cwsq-ngmh>; rel=""original"",
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","{'name': 'PLACES: Local Data for Better Health, Census Tract Data 2024 release', 'id': 'cwsq-ngmh', 'description': 'This dataset contains model-based census tract estimates. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 40 measures: 12 for health outcomes, 7 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, 3 for health status, and 7 for health-related social needs. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2020 population data, and American Community Survey 2018–2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-Census-Tract-D/cwsq-ngmh'}"
"PLACES: Local Data for Better Health, County Data 2020 release",dv4u-3x3q,dv4u-3x3q_1736729006.580447_PLACES__Local_Data_for_Better_Health__County_Data_2020_release_20250113.csv.gz,2025-01-13 00:43:26 UTC,https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-County-Data-20/dv4u-3x3q,"This dataset contains model-based county-level estimates for the PLACES project 2020 release. The PLACES project is the expansion of the original 500 Cities project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 27 measures: 5 chronic disease-related unhealthy behaviors, 13 health outcomes, and 9 on use of preventive services. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2018 or 2017 county population data, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.",,"{'name': 'PLACES: Local Data for Better Health, County Data 2020 release', 'id': 'dv4u-3x3q', 'description': 'This dataset contains model-based county-level estimates for the PLACES project 2020 release. The PLACES project is the expansion of the original 500 Cities project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 27 measures: 5 chronic disease-related unhealthy behaviors, 13 health outcomes, and 9 on use of preventive services. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2018 or 2017 county population data, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-County-Data-20/dv4u-3x3q'}"
"PLACES: Local Data for Better Health, County Data 2021 release",pqpp-u99h,pqpp-u99h_1736728067.823377_PLACES__Local_Data_for_Better_Health__County_Data_2021_release_20250113.csv.gz,2025-01-13 00:27:47 UTC,https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-County-Data-20/pqpp-u99h,"This dataset contains model-based county-level estimates for the PLACES 2021 release. PLACES is the expansion of the original 500 Cities Project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 29 measures: 4 chronic disease-related health risk behaviors, 13 health outcomes, 3 health status, and 9 on using preventive services. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2019 or 2018 county population estimate data, and American Community Survey (ACS) 2015–2019 or 2014–2018 estimates. The 2021 release uses 2019 BRFSS data for 22 measures and 2018 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours a night). Seven measures are based on the 2018 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.",,"{'name': 'PLACES: Local Data for Better Health, County Data 2021 release', 'id': 'pqpp-u99h', 'description': 'This dataset contains model-based county-level estimates for the PLACES 2021 release. PLACES is the expansion of the original 500 Cities Project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 29 measures: 4 chronic disease-related health risk behaviors, 13 health outcomes, 3 health status, and 9 on using preventive services. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2019 or 2018 county population estimate data, and American Community Survey (ACS) 2015–2019 or 2014–2018 estimates. The 2021 release uses 2019 BRFSS data for 22 measures and 2018 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours a night). Seven measures are based on the 2018 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-County-Data-20/pqpp-u99h'}"
"PLACES: Local Data for Better Health, County Data 2022 release",duw2-7jbt,duw2-7jbt_1736724791.717035_PLACES__Local_Data_for_Better_Health__County_Data_2022_release_20250112.csv.gz,2025-01-12 23:33:11 UTC,https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-County-Data-20/duw2-7jbt,"This dataset contains model-based county-level estimates for the PLACES 2022 release. PLACES covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. This dataset includes estimates for 29 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, and 3 for health status. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2020 or 2019 county population estimate data, and American Community Survey 2016–2020 or 2015–2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.",,"{'name': 'PLACES: Local Data for Better Health, County Data 2022 release', 'id': 'duw2-7jbt', 'description': 'This dataset contains model-based county-level estimates for the PLACES 2022 release. PLACES covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. This dataset includes estimates for 29 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, and 3 for health status. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2020 or 2019 county population estimate data, and American Community Survey 2016–2020 or 2015–2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-County-Data-20/duw2-7jbt'}"
"PLACES: Local Data for Better Health, County Data 2023 release",h3ej-a9ec,h3ej-a9ec_1736738172.619942_PLACES__Local_Data_for_Better_Health__County_Data_2023_release_20250113.csv.gz,2025-01-13 03:16:12 UTC,https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-County-Data-20/h3ej-a9ec,"This dataset contains model-based county estimates. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. This dataset includes estimates for 36 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, and 3 for health status. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2021 or 2020 county population estimate data, and American Community Survey 2017–2021, or 2016–2020 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. More information about the methodology can be found at  www.cdc.gov/places.",,"{'name': 'PLACES: Local Data for Better Health, County Data 2023 release', 'id': 'h3ej-a9ec', 'description': 'This dataset contains model-based county estimates. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. This dataset includes estimates for 36 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, and 3 for health status. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2021 or 2020 county population estimate data, and American Community Survey 2017–2021, or 2016–2020 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. More information about the methodology can be found at  www.cdc.gov/places.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-County-Data-20/h3ej-a9ec'}"
"PLACES: Local Data for Better Health, County Data 2024 release",swc5-untb,swc5-untb_1736708965.862525_PLACES__Local_Data_for_Better_Health__County_Data_2024_release_20250112.csv.gz,2025-01-12 19:09:25 UTC,https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-County-Data-20/swc5-untb,"This dataset contains model-based county estimates. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. This dataset includes estimates for 40 measures: 12 for health outcomes, 7 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, 3 for health status, and 7 for health-related social needs. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2022 county population estimate data, and American Community Survey 2018–2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.",,"{'name': 'PLACES: Local Data for Better Health, County Data 2024 release', 'id': 'swc5-untb', 'description': 'This dataset contains model-based county estimates. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. This dataset includes estimates for 40 measures: 12 for health outcomes, 7 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, 3 for health status, and 7 for health-related social needs. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2022 county population estimate data, and American Community Survey 2018–2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-County-Data-20/swc5-untb'}"
"PLACES: Local Data for Better Health, Place Data 2020 release",q8xq-ygsk,q8xq-ygsk_1736727084.833354_PLACES__Local_Data_for_Better_Health__Place_Data_2020_release_20250113.csv.gz,2025-01-13 00:11:24 UTC,https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-Place-Data-202/q8xq-ygsk,"This dataset contains model-based place (incorporated and census designated places) level estimates for the PLACES project 2020 release. The PLACES project is the expansion of the original 500 Cities project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 27 measures: 5 chronic disease-related unhealthy behaviors, 13 health outcomes, and 9 on use of preventive services. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates  include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2010 population data, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.",,"{'name': 'PLACES: Local Data for Better Health, Place Data 2020 release', 'id': 'q8xq-ygsk', 'description': 'This dataset contains model-based place (incorporated and census designated places) level estimates for the PLACES project 2020 release. The PLACES project is the expansion of the original 500 Cities project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 27 measures: 5 chronic disease-related unhealthy behaviors, 13 health outcomes, and 9 on use of preventive services. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates  include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2010 population data, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-Place-Data-202/q8xq-ygsk'}"
"PLACES: Local Data for Better Health, Place Data 2021 release",q8ig-wwk9,q8ig-wwk9_1736730982.562136_PLACES__Local_Data_for_Better_Health__Place_Data_2021_release_20250113.csv.gz,2025-01-13 01:16:22 UTC,https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-Place-Data-202/q8ig-wwk9,"This dataset contains model-based place (incorporated and census designated places) level estimates for the PLACES 2021 release. PLACES is the expansion of the original 500 Cities Project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 29 measures: 4 chronic disease-related risk behaviors, 13 health outcomes, 3 health status, and 9 on using preventive services. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2010 population data, and American Community Survey (ACS) 2015–2019 or 2014–2018 estimates. The 2021 release uses 2019 BRFSS data for 22 measures and 2018 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours a night). Seven measures are based on the 2018 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at  www.cdc.gov/places.",,"{'name': 'PLACES: Local Data for Better Health, Place Data 2021 release', 'id': 'q8ig-wwk9', 'description': 'This dataset contains model-based place (incorporated and census designated places) level estimates for the PLACES 2021 release. PLACES is the expansion of the original 500 Cities Project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 29 measures: 4 chronic disease-related risk behaviors, 13 health outcomes, 3 health status, and 9 on using preventive services. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2010 population data, and American Community Survey (ACS) 2015–2019 or 2014–2018 estimates. The 2021 release uses 2019 BRFSS data for 22 measures and 2018 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours a night). Seven measures are based on the 2018 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at  www.cdc.gov/places.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-Place-Data-202/q8ig-wwk9'}"
"PLACES: Local Data for Better Health, Place Data 2022 release",epbn-9bv3,epbn-9bv3_1736720867.521562_PLACES__Local_Data_for_Better_Health__Place_Data_2022_release_20250112.csv.gz,2025-01-12 22:27:47 UTC,https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-Place-Data-202/epbn-9bv3,"This dataset contains model-based place (incorporated and census-designated places) level estimates for the PLACES 2022 release. PLACES covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 29 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, and 3 for health status. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2010 population data, and American Community Survey 2015–2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. More information about the methodology can be found at   www.cdc.gov/places.",,"{'name': 'PLACES: Local Data for Better Health, Place Data 2022 release', 'id': 'epbn-9bv3', 'description': 'This dataset contains model-based place (incorporated and census-designated places) level estimates for the PLACES 2022 release. PLACES covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 29 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, and 3 for health status. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2010 population data, and American Community Survey 2015–2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. More information about the methodology can be found at   www.cdc.gov/places.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-Place-Data-202/epbn-9bv3'}"
"PLACES: Local Data for Better Health, Place Data 2023 release",krqc-563j,krqc-563j_1736738658.428337_PLACES__Local_Data_for_Better_Health__Place_Data_2023_release_20250113.csv.gz,2025-01-13 03:24:18 UTC,https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-Place-Data-202/krqc-563j,"This dataset contains model-based place (incorporated and census-designated places) estimates. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 36 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, and 3 for health status. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2010 population data, and American Community Survey 2015–2019 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. More information about the methodology can be found at  www.cdc.gov/places.",,"{'name': 'PLACES: Local Data for Better Health, Place Data 2023 release', 'id': 'krqc-563j', 'description': 'This dataset contains model-based place (incorporated and census-designated places) estimates. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 36 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, and 3 for health status. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2010 population data, and American Community Survey 2015–2019 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. More information about the methodology can be found at  www.cdc.gov/places.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-Place-Data-202/krqc-563j'}"
"PLACES: Local Data for Better Health, Place Data 2024 release",eav7-hnsx,eav7-hnsx_1736715287.470698_PLACES__Local_Data_for_Better_Health__Place_Data_2024_release_20250112.csv.gz,2025-01-12 20:54:47 UTC,https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-Place-Data-202/eav7-hnsx,"This dataset contains model-based place (incorporated and census-designated places) estimates. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 40 measures: 12 for health outcomes, 7 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, 3 for health status, and 7 for health-related social needs. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2020 population data, and American Community Survey 2018–2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. More information about the methodology can be found at  www.cdc.gov/places.",,"{'name': 'PLACES: Local Data for Better Health, Place Data 2024 release', 'id': 'eav7-hnsx', 'description': 'This dataset contains model-based place (incorporated and census-designated places) estimates. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 40 measures: 12 for health outcomes, 7 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, 3 for health status, and 7 for health-related social needs. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2020 population data, and American Community Survey 2018–2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. More information about the methodology can be found at  www.cdc.gov/places.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-Place-Data-202/eav7-hnsx'}"
"PLACES: Local Data for Better Health, ZCTA Data 2020 release",fbbf-hgkc,fbbf-hgkc_1736735525.785971_PLACES__Local_Data_for_Better_Health__ZCTA_Data_2020_release_20250113.csv.gz,2025-01-13 02:32:05 UTC,https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-ZCTA-Data-2020/fbbf-hgkc,"This dataset contains model-based ZIP Code tabulation Areas (ZCTA) level estimates for the PLACES project 2020 release. The PLACES project is the expansion of the original 500 Cities project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 27 measures: 5 chronic disease-related unhealthy behaviors, 13 health outcomes, and 9 on use of preventive services. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2010 population data, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.",,"{'name': 'PLACES: Local Data for Better Health, ZCTA Data 2020 release', 'id': 'fbbf-hgkc', 'description': 'This dataset contains model-based ZIP Code tabulation Areas (ZCTA) level estimates for the PLACES project 2020 release. The PLACES project is the expansion of the original 500 Cities project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 27 measures: 5 chronic disease-related unhealthy behaviors, 13 health outcomes, and 9 on use of preventive services. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2010 population data, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-ZCTA-Data-2020/fbbf-hgkc'}"
"PLACES: Local Data for Better Health, ZCTA Data 2021 release",s85h-9xpy,s85h-9xpy_1736734664.809109_PLACES__Local_Data_for_Better_Health__ZCTA_Data_2021_release_20250113.csv.gz,2025-01-13 02:17:44 UTC,https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-ZCTA-Data-2021/s85h-9xpy,"This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates for the PLACES 2021 release. PLACES is the expansion of the original 500 Cities Project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 29 measures: 4 chronic disease-related health risk behaviors, 13 health outcomes, 3 health status, and 9 on using preventive services. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2010 population data, and American Community Survey (ACS) 2015–2019 or 2014–2018 estimates. The 2021 release uses 2019 BRFSS data for 22 measures and 2018 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours a night). Seven measures are based on the 2018 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.",,"{'name': 'PLACES: Local Data for Better Health, ZCTA Data 2021 release', 'id': 's85h-9xpy', 'description': 'This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates for the PLACES 2021 release. PLACES is the expansion of the original 500 Cities Project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 29 measures: 4 chronic disease-related health risk behaviors, 13 health outcomes, 3 health status, and 9 on using preventive services. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2010 population data, and American Community Survey (ACS) 2015–2019 or 2014–2018 estimates. The 2021 release uses 2019 BRFSS data for 22 measures and 2018 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours a night). Seven measures are based on the 2018 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-ZCTA-Data-2021/s85h-9xpy'}"
"PLACES: Local Data for Better Health, ZCTA Data 2022 release",gd4x-jyhw,gd4x-jyhw_1736729047.547088_PLACES__Local_Data_for_Better_Health__ZCTA_Data_2022_release_20250113.csv.gz,2025-01-13 00:44:07 UTC,https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-ZCTA-Data-2022/gd4x-jyhw,"This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates for the PLACES 2022 release. PLACES covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 29 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, and 3 for health status. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2010 population data, and American Community Survey 2015–2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.",,"{'name': 'PLACES: Local Data for Better Health, ZCTA Data 2022 release', 'id': 'gd4x-jyhw', 'description': 'This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates for the PLACES 2022 release. PLACES covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 29 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, and 3 for health status. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2010 population data, and American Community Survey 2015–2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-ZCTA-Data-2022/gd4x-jyhw'}"
"PLACES: Local Data for Better Health, ZCTA Data 2023 release",9umn-c3jf,9umn-c3jf_1736739019.418452_PLACES__Local_Data_for_Better_Health__ZCTA_Data_2023_release_20250113.csv.gz,2025-01-13 03:30:19 UTC,https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-ZCTA-Data-2023/9umn-c3jf,"This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 36 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, and 3 for health status. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2010 population data, and American Community Survey 2015–2019 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.",,"{'name': 'PLACES: Local Data for Better Health, ZCTA Data 2023 release', 'id': '9umn-c3jf', 'description': 'This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 36 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, and 3 for health status. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2010 population data, and American Community Survey 2015–2019 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-ZCTA-Data-2023/9umn-c3jf'}"
"PLACES: Local Data for Better Health, ZCTA Data 2024 release",qnzd-25i4,qnzd-25i4_1736711955.565050_PLACES__Local_Data_for_Better_Health__ZCTA_Data_2024_release_20250112.csv.gz,2025-01-12 19:59:15 UTC,https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-ZCTA-Data-2024/qnzd-25i4,"This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 40 measures: 12 for health outcomes, 7 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, 3 for health status, and 7 for health-related scocial needs. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2020 population data, and American Community Survey 2018–2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. More information about the methodology can be found at   www.cdc.gov/places.",,"{'name': 'PLACES: Local Data for Better Health, ZCTA Data 2024 release', 'id': 'qnzd-25i4', 'description': 'This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 40 measures: 12 for health outcomes, 7 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, 3 for health status, and 7 for health-related scocial needs. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2020 population data, and American Community Survey 2018–2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. More information about the methodology can be found at   www.cdc.gov/places.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-ZCTA-Data-2024/qnzd-25i4'}"
"PLACES: Place Data (GIS Friendly Format), 2020 release",ndzg-9nmv,ndzg-9nmv_1736736293.572231_PLACES__Place_Data__GIS_Friendly_Format___2020_release_20250113.csv.gz,2025-01-13 02:44:53 UTC,https://data.cdc.gov/500-Cities-Places/PLACES-Place-Data-GIS-Friendly-Format-2020-release/ndzg-9nmv,"This dataset contains model-based place (incorporated and census designated places) level estimates for the PLACES project 2020 release in GIS-friendly format. The PLACES project is the expansion of the original 500 Cities project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the 2019 Census TIGER/Line place boundary file in a GIS system to produce maps for 27 measures at the place level. An ArcGIS Online feature service is also available at https://www.arcgis.com/home/item.html?id=8eca985039464f4d83467b8f6aeb1320 for users to make maps online or to add data to desktop GIS software.",,"{'name': 'PLACES: Place Data (GIS Friendly Format), 2020 release', 'id': 'ndzg-9nmv', 'description': 'This dataset contains model-based place (incorporated and census designated places) level estimates for the PLACES project 2020 release in GIS-friendly format. The PLACES project is the expansion of the original 500 Cities project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the 2019 Census TIGER/Line place boundary file in a GIS system to produce maps for 27 measures at the place level. An ArcGIS Online feature service is also available at https://www.arcgis.com/home/item.html?id=8eca985039464f4d83467b8f6aeb1320 for users to make maps online or to add data to desktop GIS software.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/PLACES-Place-Data-GIS-Friendly-Format-2020-release/ndzg-9nmv'}"
"PLACES: Place Data (GIS Friendly Format), 2021 release",cj8b-94cj,cj8b-94cj_1736736970.099604_PLACES__Place_Data__GIS_Friendly_Format___2021_release_20250113.csv.gz,2025-01-13 02:56:10 UTC,https://data.cdc.gov/500-Cities-Places/PLACES-Place-Data-GIS-Friendly-Format-2021-release/cj8b-94cj,"This dataset contains model-based place (incorporated and census designated places) level estimates for the PLACES 2021 release in GIS-friendly format. PLACES is the expansion of the original 500 Cities Project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015–2019 or 2014–2018 estimates. The 2021 release uses 2019 BRFSS data for 22 measures and 2018 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours a night). Seven measures are based on the 2018 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the 2019 Census TIGER/Line place boundary file in a GIS system to produce maps for 29 measures at the place level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=024cf3f6f59e49fe8c70e0e5410fe3cf",,"{'name': 'PLACES: Place Data (GIS Friendly Format), 2021 release', 'id': 'cj8b-94cj', 'description': 'This dataset contains model-based place (incorporated and census designated places) level estimates for the PLACES 2021 release in GIS-friendly format. PLACES is the expansion of the original 500 Cities Project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015–2019 or 2014–2018 estimates. The 2021 release uses 2019 BRFSS data for 22 measures and 2018 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours a night). Seven measures are based on the 2018 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the 2019 Census TIGER/Line place boundary file in a GIS system to produce maps for 29 measures at the place level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=024cf3f6f59e49fe8c70e0e5410fe3cf', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/PLACES-Place-Data-GIS-Friendly-Format-2021-release/cj8b-94cj'}"
"PLACES: Place Data (GIS Friendly Format), 2022 release",uuui-fh3m,uuui-fh3m_1736730253.461547_DASH_-_Youth_Risk_Behavior_Surveillance_System__YRBSS___High_School____Including_Sexual_Orientation_20250113.csv.gz,2025-01-13 01:04:13 UTC,https://data.cdc.gov/500-Cities-Places/PLACES-Place-Data-GIS-Friendly-Format-2022-release/uuui-fh3m,"This dataset contains model-based place (incorporated and census designated places) level estimates for the PLACES 2022 release in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015–2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. These data can be joined with the 2019 Census TIGER/Line place boundary file in a GIS system to produce maps for 29 measures at the place level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7",,"{'name': 'PLACES: Place Data (GIS Friendly Format), 2022 release', 'id': 'uuui-fh3m', 'description': 'This dataset contains model-based place (incorporated and census designated places) level estimates for the PLACES 2022 release in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015–2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. These data can be joined with the 2019 Census TIGER/Line place boundary file in a GIS system to produce maps for 29 measures at the place level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/PLACES-Place-Data-GIS-Friendly-Format-2022-release/uuui-fh3m'}"
"PLACES: Place Data (GIS Friendly Format), 2023 release",xx8k-iu94,xx8k-iu94_1736738266.440998_PLACES__Place_Data__GIS_Friendly_Format___2023_release_20250113.csv.gz,2025-01-13 03:17:46 UTC,https://data.cdc.gov/500-Cities-Places/PLACES-Place-Data-GIS-Friendly-Format-2023-release/xx8k-iu94,"This dataset contains model-based place (incorporated and census designated places) estimates in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia —at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015–2019 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. These data can be joined with the 2019 Census TIGER/Line place boundary file in a GIS system to produce maps for 36 measures at the place level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.
https://cdcarcgis.maps.arcgis.com/home/item.html?id=2c3deb0c05a748b391ea8c9cf9903588",,"{'name': 'PLACES: Place Data (GIS Friendly Format), 2023 release', 'id': 'xx8k-iu94', 'description': 'This dataset contains model-based place (incorporated and census designated places) estimates in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia —at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015–2019 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. These data can be joined with the 2019 Census TIGER/Line place boundary file in a GIS system to produce maps for 36 measures at the place level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=2c3deb0c05a748b391ea8c9cf9903588', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/PLACES-Place-Data-GIS-Friendly-Format-2023-release/xx8k-iu94'}"
"PLACES: Place Data (GIS Friendly Format), 2024 release",vgc8-iyc4,vgc8-iyc4_1736721079.173372_PLACES__Place_Data__GIS_Friendly_Format___2024_release_20250112.csv.gz,2025-01-12 22:31:19 UTC,https://data.cdc.gov/500-Cities-Places/PLACES-Place-Data-GIS-Friendly-Format-2024-release/vgc8-iyc4,"This dataset contains model-based place (incorporated and census designated places) estimates in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia —at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2020 population estimates, and American Community Survey (ACS) 2018–2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. These data can be joined with the 2020 Census place boundary file in a GIS system to produce maps for 40 measures at the place level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7",,"{'name': 'PLACES: Place Data (GIS Friendly Format), 2024 release', 'id': 'vgc8-iyc4', 'description': 'This dataset contains model-based place (incorporated and census designated places) estimates in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia —at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2020 population estimates, and American Community Survey (ACS) 2018–2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. These data can be joined with the 2020 Census place boundary file in a GIS system to produce maps for 40 measures at the place level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/PLACES-Place-Data-GIS-Friendly-Format-2024-release/vgc8-iyc4'}"
"PLACES: ZCTA Data (GIS Friendly Format), 2020 release",bdsk-unrd,bdsk-unrd_1736732200.116389_PLACES__ZCTA_Data__GIS_Friendly_Format___2020_release_20250113.csv.gz,2025-01-13 01:36:40 UTC,https://data.cdc.gov/500-Cities-Places/PLACES-ZCTA-Data-GIS-Friendly-Format-2020-release/bdsk-unrd,"This dataset contains model-based ZIP Code tabulation Areas (ZCTA) level estimates for the PLACES project 2020 release in GIS-friendly format. The PLACES project is the expansion of the original 500 Cities project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the census 2010 ZCTA boundary file in a GIS system to produce maps for 27 measures at the ZCTA level. An ArcGIS Online feature service is also available at https://www.arcgis.com/home/item.html?id=8eca985039464f4d83467b8f6aeb1320 for users to make maps online or to add data to desktop GIS software.",,"{'name': 'PLACES: ZCTA Data (GIS Friendly Format), 2020 release', 'id': 'bdsk-unrd', 'description': 'This dataset contains model-based ZIP Code tabulation Areas (ZCTA) level estimates for the PLACES project 2020 release in GIS-friendly format. The PLACES project is the expansion of the original 500 Cities project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the census 2010 ZCTA boundary file in a GIS system to produce maps for 27 measures at the ZCTA level. An ArcGIS Online feature service is also available at https://www.arcgis.com/home/item.html?id=8eca985039464f4d83467b8f6aeb1320 for users to make maps online or to add data to desktop GIS software.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/PLACES-ZCTA-Data-GIS-Friendly-Format-2020-release/bdsk-unrd'}"
"PLACES: ZCTA Data (GIS Friendly Format), 2021 release",9xb7-9z99,9xb7-9z99_1736737095.718149_PLACES__ZCTA_Data__GIS_Friendly_Format___2021_release_20250113.csv.gz,2025-01-13 02:58:15 UTC,https://data.cdc.gov/500-Cities-Places/PLACES-ZCTA-Data-GIS-Friendly-Format-2021-release/9xb7-9z99,"This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates for the PLACES 2021 release in GIS-friendly format. PLACES is the expansion of the original 500 Cities Project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015–2019 or 2014–2018 estimates. The 2021 release uses 2019 BRFSS data for 22 measures and 2018 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours a night). Seven measures are based on the 2018 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the census 2010 ZCTA boundary file in a GIS system to produce maps for 29 measures at the ZCTA level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.
https://cdcarcgis.maps.arcgis.com/home/item.html?id=024cf3f6f59e49fe8c70e0e5410fe3cf",,"{'name': 'PLACES: ZCTA Data (GIS Friendly Format), 2021 release', 'id': '9xb7-9z99', 'description': 'This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates for the PLACES 2021 release in GIS-friendly format. PLACES is the expansion of the original 500 Cities Project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015–2019 or 2014–2018 estimates. The 2021 release uses 2019 BRFSS data for 22 measures and 2018 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours a night). Seven measures are based on the 2018 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the census 2010 ZCTA boundary file in a GIS system to produce maps for 29 measures at the ZCTA level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=024cf3f6f59e49fe8c70e0e5410fe3cf', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/PLACES-ZCTA-Data-GIS-Friendly-Format-2021-release/9xb7-9z99'}"
"PLACES: ZCTA Data (GIS Friendly Format), 2022 release",c76y-7pzg,c76y-7pzg_1736734867.163450_PLACES__ZCTA_Data__GIS_Friendly_Format___2022_release_20250113.csv.gz,2025-01-13 02:21:07 UTC,https://data.cdc.gov/500-Cities-Places/PLACES-ZCTA-Data-GIS-Friendly-Format-2022-release/c76y-7pzg,"This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates for the PLACES 2022 release in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015–2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. These data can be joined with the census 2010 ZCTA boundary file in a GIS system to produce maps for 29 measures at the ZCTA level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.
https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7",,"{'name': 'PLACES: ZCTA Data (GIS Friendly Format), 2022 release', 'id': 'c76y-7pzg', 'description': 'This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates for the PLACES 2022 release in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015–2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. These data can be joined with the census 2010 ZCTA boundary file in a GIS system to produce maps for 29 measures at the ZCTA level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/PLACES-ZCTA-Data-GIS-Friendly-Format-2022-release/c76y-7pzg'}"
"PLACES: ZCTA Data (GIS Friendly Format), 2023 release",c7b2-4ecy,c7b2-4ecy_1736739119.542831_PLACES__ZCTA_Data__GIS_Friendly_Format___2023_release_20250113.csv.gz,2025-01-13 03:31:59 UTC,https://data.cdc.gov/500-Cities-Places/PLACES-ZCTA-Data-GIS-Friendly-Format-2023-release/c7b2-4ecy,"This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015–2019 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. These data can be joined with the census 2010 ZCTA boundary file in a GIS system to produce maps for 36 measures at the ZCTA level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.
https://cdcarcgis.maps.arcgis.com/home/item.html?id=2c3deb0c05a748b391ea8c9cf9903588",,"{'name': 'PLACES: ZCTA Data (GIS Friendly Format), 2023 release', 'id': 'c7b2-4ecy', 'description': 'This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015–2019 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. These data can be joined with the census 2010 ZCTA boundary file in a GIS system to produce maps for 36 measures at the ZCTA level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=2c3deb0c05a748b391ea8c9cf9903588', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/PLACES-ZCTA-Data-GIS-Friendly-Format-2023-release/c7b2-4ecy'}"
"PLACES: ZCTA Data (GIS Friendly Format), 2024 release",kee5-23sr,kee5-23sr_1736714621.278395_PLACES__ZCTA_Data__GIS_Friendly_Format___2024_release_20250112.csv.gz,2025-01-12 20:43:41 UTC,https://data.cdc.gov/500-Cities-Places/PLACES-ZCTA-Data-GIS-Friendly-Format-2024-release/kee5-23sr,"This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2020 population counts, and American Community Survey (ACS) 2018–2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. These data can be joined with the Census 2021 ZCTA boundary file in a GIS system to produce maps for 40 measures at the ZCTA level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.
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<http://web.archive.org/web/20250206073446/https://data.cdc.gov/500-Cities-Places/PLACES-ZCTA-Data-GIS-Friendly-Format-2024-release/kee5-23sr>; rel=""memento""; datetime=""Thu, 06 Feb 2025 07:34:46 GMT""
","{'name': 'PLACES: ZCTA Data (GIS Friendly Format), 2024 release', 'id': 'kee5-23sr', 'description': 'This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2020 population counts, and American Community Survey (ACS) 2018–2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. These data can be joined with the Census 2021 ZCTA boundary file in a GIS system to produce maps for 40 measures at the ZCTA level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/PLACES-ZCTA-Data-GIS-Friendly-Format-2024-release/kee5-23sr'}"
PONE-D-15-23803,krkm-t59m,krkm-t59m_1736723448.980234_PONE-D-15-23803_20250112.csv.gz,2025-01-12 23:10:48 UTC,https://data.cdc.gov/dataset/PONE-D-15-23803/krkm-t59m,This data set is from 3 surveys conducted in two districts in western Kenya following the scale up of insecticide treated nets and the implementation of IRS in one of the districts.,,"{'name': 'PONE-D-15-23803', 'id': 'krkm-t59m', 'description': 'This data set is from 3 surveys conducted in two districts in western Kenya following the scale up of insecticide treated nets and the implementation of IRS in one of the districts.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/dataset/PONE-D-15-23803/krkm-t59m'}"
"Palmer Drought Severity Index, 1895-2016",en5r-5ds4,en5r-5ds4_1736715538.395304_Palmer_Drought_Severity_Index__1895-2016_20250112.csv.gz,2025-01-12 20:58:58 UTC,https://data.cdc.gov/Environmental-Health-Toxicology/Palmer-Drought-Severity-Index-1895-2016/en5r-5ds4,"This dataset provides data at the county level for the contiguous United States. It includes monthly Palmer Drought Severity Index (PDSI) data from 1895-2016 provided by the Cooperative Institute for Climate and Satellites - North Carolina. Please refer to the metadata attachment for more information.

Learn more about drought on the Tracking Network's website: https://ephtracking.cdc.gov/showDroughtLanding.

By using these data, you signify your agreement to comply with the following requirements: 
1.	Use the data for statistical reporting and analysis only. 
2.	Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals. 
3.	Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov. 
4.	Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating. 
5.	Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC. 
6.	Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking. 

Problems or Questions? 
Email trackingsupport@cdc.gov.",,"{'name': 'Palmer Drought Severity Index, 1895-2016', 'id': 'en5r-5ds4', 'description': ""This dataset provides data at the county level for the contiguous United States. It includes monthly Palmer Drought Severity Index (PDSI) data from 1895-2016 provided by the Cooperative Institute for Climate and Satellites - North Carolina. Please refer to the metadata attachment for more information.\r\n\r\nLearn more about drought on the Tracking Network's website: https://ephtracking.cdc.gov/showDroughtLanding.\r\n\r\nBy using these data, you signify your agreement to comply with the following requirements: \r\n1.\tUse the data for statistical reporting and analysis only. \r\n2.\tDo not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals. \r\n3.\tDo not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov. \r\n4.\tDo not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating. \r\n5.\tAcknowledge, in all reports or presentations based on these data, the original source of the data and CDC. \r\n6.\tSuggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking. \r\n\r\nProblems or Questions? \r\nEmail trackingsupport@cdc.gov."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Environmental-Health-Toxicology/Palmer-Drought-Severity-Index-1895-2016/en5r-5ds4'}"
"Pathogen Detections Among Enrolled Children in the New Vaccine Surveillance Network (NVSN), Acute Respiratory Illnesses (ARI), 12 Month Rolling Period",r229-z6ma,r229-z6ma_1736732868.011221_Pathogen_Detections_Among_Enrolled_Children_in_the_New_Vaccine_Surveillance_Network__NVSN___Acute_Respiratory_Illnesses__ARI___12_Month_Rolling_Period_20250113.csv.gz,2025-01-13 01:47:48 UTC,https://data.cdc.gov/Public-Health-Surveillance/Pathogen-Detections-Among-Enrolled-Children-in-the/r229-z6ma,"Percent positivity of 9 viral pathogens, and enrollment counts of children with ARI by week for the past 12 months (rolling x-axis).",,"{'name': 'Pathogen Detections Among Enrolled Children in the New Vaccine Surveillance Network (NVSN), Acute Respiratory Illnesses (ARI), 12 Month Rolling Period', 'id': 'r229-z6ma', 'description': 'Percent positivity of 9 viral pathogens, and enrollment counts of children with ARI by week for the past 12 months (rolling x-axis).', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/Pathogen-Detections-Among-Enrolled-Children-in-the/r229-z6ma'}"
Patient Characteristics of Laboratory-Confirmed COVID-19 Hospitalizations from the COVID-NET Surveillance System,bigw-pgk2,bigw-pgk2_1736714851.653317_Patient_Characteristics_of_Laboratory-Confirmed_COVID-19_Hospitalizations_from_the_COVID-NET_Surveillance_System_20250112.csv.gz,2025-01-12 20:47:31 UTC,https://data.cdc.gov/Public-Health-Surveillance/Patient-Characteristics-of-Laboratory-Confirmed-CO/bigw-pgk2,"The Coronavirus Disease 2019 (COVID-19) Hospitalization Surveillance Network (COVID-NET) a network that conducts active, population-based surveillance for laboratory-confirmed COVID-19-associated hospitalizations among children and adults. COVID-NET, along with the Respiratory Syncytial Virus Hospitalization Surveillance Network (RSV-NET) and the Influenza Hospitalization Surveillance Network (FluSurv-NET), comprise the Respiratory Virus Hospitalization Surveillance Network (RESP-NET). The RESP-NET platforms have overlapping surveillance areas and use similar methods to collect data. COVID-NET is CDC’s source for important data on rates of hospitalizations associated with COVID-19. Hospitalization rates show how many people in the surveillance area are hospitalized with COVID-19, compared to the total number of people residing in that area.

Data are preliminary and subject to change as more data become available. Data will be updated weekly.",,"{'name': 'Patient Characteristics of Laboratory-Confirmed COVID-19 Hospitalizations from the COVID-NET Surveillance System', 'id': 'bigw-pgk2', 'description': 'The Coronavirus Disease 2019 (COVID-19) Hospitalization Surveillance Network (COVID-NET) a network that conducts active, population-based surveillance for laboratory-confirmed COVID-19-associated hospitalizations among children and adults. COVID-NET, along with the Respiratory Syncytial Virus Hospitalization Surveillance Network (RSV-NET) and the Influenza Hospitalization Surveillance Network (FluSurv-NET), comprise the Respiratory Virus Hospitalization Surveillance Network (RESP-NET). The RESP-NET platforms have overlapping surveillance areas and use similar methods to collect data. COVID-NET is CDC’s source for important data on rates of hospitalizations associated with COVID-19. Hospitalization rates show how many people in the surveillance area are hospitalized with COVID-19, compared to the total number of people residing in that area.\n\nData are preliminary and subject to change as more data become available. Data will be updated weekly.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/Patient-Characteristics-of-Laboratory-Confirmed-CO/bigw-pgk2'}"
"Percent Positivity of COVID-19 Nucleic Acid Amplification Tests by HHS Region, National Respiratory and Enteric Virus Surveillance System",gvsb-yw6g,gvsb-yw6g_1736716698.324646_Percent_Positivity_of_COVID-19_Nucleic_Acid_Amplification_Tests_by_HHS_Region__National_Respiratory_and_Enteric_Virus_Surveillance_System_20250112.csv.gz,2025-01-12 21:18:18 UTC,https://data.cdc.gov/Laboratory-Surveillance/Percent-Positivity-of-COVID-19-Nucleic-Acid-Amplif/gvsb-yw6g,"More than 450 public health and clinical laboratories located throughout the United States participate in surveillance for severe acute respiratory virus coronavirus type 2 (SARS-CoV-2), the virus that causes COVID-19, through CDC's National Respiratory and Enteric Virus Surveillance System (NREVSS). The dataset contains a weekly summary of aggregate counts of the total SARS-CoV-2 tests and SARS-CoV-2 detections reported to NREVSS since March 14, 2020. These data are reported weekly on a voluntary basis. Clinical laboratories do not report demographic data through NREVSS. Testing practices may vary regionally, and the number of participating laboratories may change from year to year. Results can be changed for up to 2 years after the initial reporting week. However, discrepancies may be noted and updated at the discretion of the data stewards and key stakeholders.

While NREVSS strives to present the most precise estimates of respiratory viral trends with reporting burden minimized for participating laboratories, there are several inherent limitations to this surveillance system.

NREVSS does not collect patient-specific data or demographic information. Multiple samples may be collected from a single patient, so NREVSS results do not necessarily reflect the number of patients tested, nor do they directly reflect hospitalizations or deaths related to COVID-19.

Participating laboratories vary in size, testing capabilities, and areas served. Some institutions may receive and test samples from sites across a given state or even from multiple states. Without direct knowledge of the population base, NREVSS cannot be used to determine the prevalence or incidence of infection.

For more information on NREVSS and COVID-19 surveillance please visit: https://www.cdc.gov/surveillance/nrevss. These data appear starting May 25, 2023 on the CDC COVID Data Tracker at the following URLs: https://covid.cdc.gov/covid-data-tracker/#trends ; https://covid.cdc.gov/covid-data-tracker/#cases.   

NREVSS data are reported at the national and HHS regional levels. The ten (10) U.S. Department of HHS regions are defined here: https://www.hhs.gov/about/agencies/iea/regional-offices/index.html. 

The data represent SARS-CoV-2 Nucleic Acid Amplification Test (NAAT) results, which include reverse transcriptase-polymerase chain reaction (RT-PCR) tests from a voluntary, sentinel network of participating laboratories in the United States, including clinical, public health and commercial laboratories (https://www.cdc.gov/surveillance/nrevss/labs/index.html). 

These data exclude antigen, antibody, and at-home test results. 

All data are provisional and subject to change. Reporting is less complete for the past 1 week, and more complete (>90%) for the period 2 weeks earlier. 

There are data from all states across the 10 HHS regions. Because the data are from a sentinel network of laboratories, however, results may vary geographically. The data do not include all test results within a jurisdiction and therefore do not reflect all SARS-CoV-2 NAATs administered in the United States. 

Percent positivity is one of the surveillance metrics used to monitor COVID-19 transmission over time and by area. Percent positivity is calculated by dividing the number of positive NAATs by the total number of NAATs administered, then multiplying by 100 [(# of positive NAAT tests / total NAAT tests) x 100].

The data represent laboratory tests performed, not individual (deduplicated) results in people. In the table and upon hovering on the map, the total test counts in the data reflect the latest data reported from NREVSS laboratories and may not match the data presented by various jurisdictions.

On May 11, 2023, CDC discontinued utilizing the COVID electronic laboratory reporting (CELR) platform as the primary laboratory source of COVID-19 results. These data are archived at health.data.gov.

For more information about NREVSS, please see: https://www.cdc.gov/surveillance/nrevss/",,"{'name': 'Percent Positivity of COVID-19 Nucleic Acid Amplification Tests by HHS Region, National Respiratory and Enteric Virus Surveillance System', 'id': 'gvsb-yw6g', 'description': ""More than 450 public health and clinical laboratories located throughout the United States participate in surveillance for severe acute respiratory virus coronavirus type 2 (SARS-CoV-2), the virus that causes COVID-19, through CDC's National Respiratory and Enteric Virus Surveillance System (NREVSS). The dataset contains a weekly summary of aggregate counts of the total SARS-CoV-2 tests and SARS-CoV-2 detections reported to NREVSS since March 14, 2020. These data are reported weekly on a voluntary basis. Clinical laboratories do not report demographic data through NREVSS. Testing practices may vary regionally, and the number of participating laboratories may change from year to year. Results can be changed for up to 2 years after the initial reporting week. However, discrepancies may be noted and updated at the discretion of the data stewards and key stakeholders.\n\nWhile NREVSS strives to present the most precise estimates of respiratory viral trends with reporting burden minimized for participating laboratories, there are several inherent limitations to this surveillance system.\n\nNREVSS does not collect patient-specific data or demographic information. Multiple samples may be collected from a single patient, so NREVSS results do not necessarily reflect the number of patients tested, nor do they directly reflect hospitalizations or deaths related to COVID-19.\n\nParticipating laboratories vary in size, testing capabilities, and areas served. Some institutions may receive and test samples from sites across a given state or even from multiple states. Without direct knowledge of the population base, NREVSS cannot be used to determine the prevalence or incidence of infection.\n\nFor more information on NREVSS and COVID-19 surveillance please visit: https://www.cdc.gov/surveillance/nrevss. These data appear starting May 25, 2023 on the CDC COVID Data Tracker at the following URLs: https://covid.cdc.gov/covid-data-tracker/#trends ; https://covid.cdc.gov/covid-data-tracker/#cases.   \n\nNREVSS data are reported at the national and HHS regional levels. The ten (10) U.S. Department of HHS regions are defined here: https://www.hhs.gov/about/agencies/iea/regional-offices/index.html. \n\nThe data represent SARS-CoV-2 Nucleic Acid Amplification Test (NAAT) results, which include reverse transcriptase-polymerase chain reaction (RT-PCR) tests from a voluntary, sentinel network of participating laboratories in the United States, including clinical, public health and commercial laboratories (https://www.cdc.gov/surveillance/nrevss/labs/index.html). \n\nThese data exclude antigen, antibody, and at-home test results. \n\nAll data are provisional and subject to change. Reporting is less complete for the past 1 week, and more complete (>90%) for the period 2 weeks earlier. \n\nThere are data from all states across the 10 HHS regions. Because the data are from a sentinel network of laboratories, however, results may vary geographically. The data do not include all test results within a jurisdiction and therefore do not reflect all SARS-CoV-2 NAATs administered in the United States. \n\nPercent positivity is one of the surveillance metrics used to monitor COVID-19 transmission over time and by area. Percent positivity is calculated by dividing the number of positive NAATs by the total number of NAATs administered, then multiplying by 100 [(# of positive NAAT tests / total NAAT tests) x 100].\n\nThe data represent laboratory tests performed, not individual (deduplicated) results in people. In the table and upon hovering on the map, the total test counts in the data reflect the latest data reported from NREVSS laboratories and may not match the data presented by various jurisdictions.\n\nOn May 11, 2023, CDC discontinued utilizing the COVID electronic laboratory reporting (CELR) platform as the primary laboratory source of COVID-19 results. These data are archived at health.data.gov.\n\nFor more information about NREVSS, please see: https://www.cdc.gov/surveillance/nrevss/"", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Laboratory-Surveillance/Percent-Positivity-of-COVID-19-Nucleic-Acid-Amplif/gvsb-yw6g'}"
"Percent Positivity of Respiratory Syncytial Virus Nucleic Acid Amplification Tests by HHS Region, National Respiratory and Enteric Virus Surveillance System",3cxc-4k8q,3cxc-4k8q_1736718624.882504_Percent_Positivity_of_Respiratory_Syncytial_Virus_Nucleic_Acid_Amplification_Tests_by_HHS_Region__National_Respiratory_and_Enteric_Virus_Surveillance_System_20250112.csv.gz,2025-01-12 21:50:24 UTC,https://data.cdc.gov/Laboratory-Surveillance/Percent-Positivity-of-Respiratory-Syncytial-Virus-/3cxc-4k8q,"More than 450 public health, clinical, and commercial laboratories located throughout the United States voluntarily participate in surveillance for respiratory syncytial virus (RSV) through CDC's National Respiratory and Enteric Virus Surveillance System (NREVSS) (https://www.cdc.gov/surveillance/nrevss/labs/index.html). The data contain weekly, aggregate counts of RSV tests performed and RSV detections as reported to NREVSS since April 11, 2020. 

NREVSS data are reported weekly at the national and 10 HHS regional levels (https://www.hhs.gov/about/agencies/iea/regional-offices/index.html). The presented data are RSV Nucleic Acid Amplification Test (NAAT) results, which include reverse transcription-polymerase chain reaction (RT-PCR) tests. These data exclude antigen, antibody, and at-home test results. Less than 5% of RSV tests reported to NREVSS are from antigen tests. All data are provisional and subject to change. Reporting is less complete for the most recent weeks, but relatively complete (>90%) for the period up to 2 weeks earlier. 

Percent positivity is a surveillance metric used to monitor RSV activity over time and by geographic area. Participating laboratories send weekly reports of the total number of RSV tests performed that week, and the number of those tests that were positive. In the table and upon hovering on the map, the total test counts reflect the latest data reported to NREVSS and may differ from data presented by public health jurisdictions. Public health jurisdictions may have additional data not reported to NREVSS and may use a different reporting cadence. The RSV trend graphs display the weekly average percent of tests positive for RSV among all the tests performed. Each point on the regional table displays the average number of RSV tests that were performed, and the average percent of those that were positive during a 3-week period (i.e., the specified week, and the weeks immediately preceding and following it). This is also known as a centered, 3-week moving average. The RSV detections displayed are the 5-week moving average (average of the 4 previous and current weeks) in accordance with the recommendations for assessing RSV trends by detections (https://academic.oup.com/jid/article/216/3/345/3860464). 

NREVSS strives to present precise estimates of respiratory viral trends and minimize reporting burden for participating laboratories. However, there are several limitations to this surveillance system. NREVSS is a laboratory-based surveillance system that does not have patient-specific data; multiple tests from a single patient may be included. In addition, NREVSS does not collect demographic or clinical data (i.e., hospitalizations or deaths). Testing practices may vary regionally, and the number of participating laboratories may change from year to year. Laboratories from all 50 states report data weekly, but reporting is voluntary and may not be representative of local RSV activity. The data do not include all test results within a jurisdiction and therefore do not reflect all RSV NAATs administered regionally or nationally. Participating laboratories vary in size, testing capabilities, and areas and populations served. Geographic results from clinical laboratories are based on testing location and laboratories may test samples from across one or more states.  For more information on NREVSS and RSV surveillance please visit: https://www.cdc.gov/surveillance/nrevss.",,"{'name': 'Percent Positivity of Respiratory Syncytial Virus Nucleic Acid Amplification Tests by HHS Region, National Respiratory and Enteric Virus Surveillance System', 'id': '3cxc-4k8q', 'description': ""More than 450 public health, clinical, and commercial laboratories located throughout the United States voluntarily participate in surveillance for respiratory syncytial virus (RSV) through CDC's National Respiratory and Enteric Virus Surveillance System (NREVSS) (https://www.cdc.gov/surveillance/nrevss/labs/index.html). The data contain weekly, aggregate counts of RSV tests performed and RSV detections as reported to NREVSS since April 11, 2020. \n\nNREVSS data are reported weekly at the national and 10 HHS regional levels (https://www.hhs.gov/about/agencies/iea/regional-offices/index.html). The presented data are RSV Nucleic Acid Amplification Test (NAAT) results, which include reverse transcription-polymerase chain reaction (RT-PCR) tests. These data exclude antigen, antibody, and at-home test results. Less than 5% of RSV tests reported to NREVSS are from antigen tests. All data are provisional and subject to change. Reporting is less complete for the most recent weeks, but relatively complete (>90%) for the period up to 2 weeks earlier. \n\nPercent positivity is a surveillance metric used to monitor RSV activity over time and by geographic area. Participating laboratories send weekly reports of the total number of RSV tests performed that week, and the number of those tests that were positive. In the table and upon hovering on the map, the total test counts reflect the latest data reported to NREVSS and may differ from data presented by public health jurisdictions. Public health jurisdictions may have additional data not reported to NREVSS and may use a different reporting cadence. The RSV trend graphs display the weekly average percent of tests positive for RSV among all the tests performed. Each point on the regional table displays the average number of RSV tests that were performed, and the average percent of those that were positive during a 3-week period (i.e., the specified week, and the weeks immediately preceding and following it). This is also known as a centered, 3-week moving average. The RSV detections displayed are the 5-week moving average (average of the 4 previous and current weeks) in accordance with the recommendations for assessing RSV trends by detections (https://academic.oup.com/jid/article/216/3/345/3860464). \n\nNREVSS strives to present precise estimates of respiratory viral trends and minimize reporting burden for participating laboratories. However, there are several limitations to this surveillance system. NREVSS is a laboratory-based surveillance system that does not have patient-specific data; multiple tests from a single patient may be included. In addition, NREVSS does not collect demographic or clinical data (i.e., hospitalizations or deaths). Testing practices may vary regionally, and the number of participating laboratories may change from year to year. Laboratories from all 50 states report data weekly, but reporting is voluntary and may not be representative of local RSV activity. The data do not include all test results within a jurisdiction and therefore do not reflect all RSV NAATs administered regionally or nationally. Participating laboratories vary in size, testing capabilities, and areas and populations served. Geographic results from clinical laboratories are based on testing location and laboratories may test samples from across one or more states.  For more information on NREVSS and RSV surveillance please visit: https://www.cdc.gov/surveillance/nrevss."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Laboratory-Surveillance/Percent-Positivity-of-Respiratory-Syncytial-Virus-/3cxc-4k8q'}"
"Percent Positivity of Viral Detections Among Enrolled Children in the New Vaccine Surveillance Network (NVSN), Acute Respiratory Illnesses (ARI), 2017–Present",kipu-qxy8,kipu-qxy8_1736731718.603784_Percent_Positivity_of_Viral_Detections_Among_Enrolled_Children_in_the_New_Vaccine_Surveillance_Network__NVSN___Acute_Respiratory_Illnesses__ARI___2017_Present_20250113.csv.gz,2025-01-13 01:28:38 UTC,https://data.cdc.gov/Public-Health-Surveillance/Percent-Positivity-of-Viral-Detections-Among-Enrol/kipu-qxy8,"Percent positivity of 9 viral pathogens, by season and age group, 2017–Present.",,"{'name': 'Percent Positivity of Viral Detections Among Enrolled Children in the New Vaccine Surveillance Network (NVSN), Acute Respiratory Illnesses (ARI), 2017–Present', 'id': 'kipu-qxy8', 'description': 'Percent positivity of 9 viral pathogens, by season and age group, 2017–Present.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/Percent-Positivity-of-Viral-Detections-Among-Enrol/kipu-qxy8'}"
Percent of Tests Positive for Viral Respiratory Pathogens,seuz-s2cv,seuz-s2cv_1736720566.638475_Percent_of_Tests_Positive_for_Viral_Respiratory_Pathogens_20250112.csv.gz,2025-01-12 22:22:46 UTC,https://data.cdc.gov/Public-Health-Surveillance/Percent-of-Tests-Positive-for-Viral-Respiratory-Pa/seuz-s2cv,"Percent of tests positive for a pathogen is one of the surveillance metrics used to monitor respiratory pathogen transmission over time. The percent of tests positive is calculated by dividing the number of positive tests by the total number of tests administered, then multiplying by 100 [(# of positive tests/total tests) x 100]. These data include percent of tests positive values for the detection of severe acute respiratory virus coronavirus type 2 (SARS-CoV-2), the virus that causes COVID-19 and Respiratory syncytial virus (RSV) reported to the National Respiratory and Enteric Virus Surveillance System (NREVSS), a sentinel network of laboratories located through the US, includes clinical, public health and commercial laboratories; additional information available at: https://www.cdc.gov/surveillance/nrevss/index.html. Influenza results include clinical laboratory test results from NREVSS and U.S. World Health Organization collaborating laboratories; more details about influenza virologic surveillance are available here: https://www.cdc.gov/flu/weekly/overview.html. 

Data represent calculations based on laboratory tests performed, not individual people tested. RSV and COVID-19 are limited to nucleic acid amplification tests (NAATs), also listed as polymerase chain reaction tests (PCR). Participating laboratories report weekly to CDC the total number of RSV tests performed that week and the number of those tests that were positive. The RSV trend graphs display the national average of the weekly % test positivity for the current, previous, and following weeks in accordance with the recommendations for assessing RSV trends by percent (https://academic.oup.com/jid/article/216/3/345/3860464). 

All data are provisional and subject to change.",,"{'name': 'Percent of Tests Positive for Viral Respiratory Pathogens', 'id': 'seuz-s2cv', 'description': 'Percent of tests positive for a pathogen is one of the surveillance metrics used to monitor respiratory pathogen transmission over time. The percent of tests positive is calculated by dividing the number of positive tests by the total number of tests administered, then multiplying by 100 [(# of positive tests/total tests) x 100]. These data include percent of tests positive values for the detection of severe acute respiratory virus coronavirus type 2 (SARS-CoV-2), the virus that causes COVID-19 and Respiratory syncytial virus (RSV) reported to the National Respiratory and Enteric Virus Surveillance System (NREVSS), a sentinel network of laboratories located through the US, includes clinical, public health and commercial laboratories; additional information available at: https://www.cdc.gov/surveillance/nrevss/index.html. Influenza results include clinical laboratory test results from NREVSS and U.S. World Health Organization collaborating laboratories; more details about influenza virologic surveillance are available here:\u202fhttps://www.cdc.gov/flu/weekly/overview.html. \n\nData represent calculations based on laboratory tests performed, not individual people tested. RSV and COVID-19 are limited to nucleic acid amplification tests (NAATs), also listed as polymerase chain reaction tests (PCR). Participating laboratories report weekly to CDC the total number of RSV tests performed that week and the number of those tests that were positive. The RSV trend graphs display the national average of the weekly % test positivity for the current, previous, and following weeks in accordance with the recommendations for assessing RSV trends by percent (https://academic.oup.com/jid/article/216/3/345/3860464). \n\nAll data are provisional and subject to change.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/Percent-of-Tests-Positive-for-Viral-Respiratory-Pa/seuz-s2cv'}"
"Percentage of Adults Who Report Driving After Drinking Too Much (in the past 30 days),  2012 & 2014, Region 4 - Atlanta",azgh-hvnt,azgh-hvnt_1736732759.393164_Percentage_of_Adults_Who_Report_Driving_After_Drinking_Too_Much__in_the_past_30_days____2012___2014__Region_4_-_Atlanta_20250113.csv.gz,2025-01-13 01:45:59 UTC,https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/azgh-hvnt,"Source: Behavioral Risk Factor Surveillance System (BRFSS), 2012, 2014.",,"{'name': 'Percentage of Adults Who Report Driving After Drinking Too Much (in the past 30 days),  2012 & 2014, Region 4 - Atlanta', 'id': 'azgh-hvnt', 'description': 'Source: Behavioral Risk Factor Surveillance System (BRFSS), 2012, 2014.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/azgh-hvnt'}"
"Percentage of Adults Who Report Driving After Drinking Too Much (in the past 30 days),  2012 & 2014, Region 7 - Kansas City",pvr7-gpk4,pvr7-gpk4_1736734081.897722_Percentage_of_Adults_Who_Report_Driving_After_Drinking_Too_Much__in_the_past_30_days____2012___2014__Region_7_-_Kansas_City_20250113.csv.gz,2025-01-13 02:08:01 UTC,https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/pvr7-gpk4,"Source: Behavioral Risk Factor Surveillance System (BRFSS), 2012, 2014.",,"{'name': 'Percentage of Adults Who Report Driving After Drinking Too Much (in the past 30 days),  2012 & 2014, Region 7 - Kansas City', 'id': 'pvr7-gpk4', 'description': 'Source: Behavioral Risk Factor Surveillance System (BRFSS), 2012, 2014.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/pvr7-gpk4'}"
"Percentage of Adults Who Report Driving After Drinking Too Much (in the past 30 days), 2012 & 2014,  Region 10 - Seattle",7zky-in8p,7zky-in8p_1736732800.396508_Percentage_of_Adults_Who_Report_Driving_After_Drinking_Too_Much__in_the_past_30_days___2012___2014___Region_10_-_Seattle_20250113.csv.gz,2025-01-13 01:46:40 UTC,https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/7zky-in8p,"Source: Behavioral Risk Factor Surveillance System (BRFSS), 2012, 2014.","<https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/7zky-in8p>; rel=""original"",
<http://web.archive.org/web/timemap/link/https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/7zky-in8p>; rel=""self""; type=""application/link-format""; from=""Wed, 01 Jul 2015 04:34:51 GMT"",
<http://web.archive.org/web/https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/7zky-in8p>; rel=""timegate"",
<http://web.archive.org/web/20150701043451/https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/7zky-in8p>; rel=""first memento""; datetime=""Wed, 01 Jul 2015 04:34:51 GMT"",
<http://web.archive.org/web/20150905160929/https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/7zky-in8p>; rel=""memento""; datetime=""Sat, 05 Sep 2015 16:09:29 GMT"",
<http://web.archive.org/web/20200501074707/https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/7zky-in8p>; rel=""memento""; datetime=""Fri, 01 May 2020 07:47:07 GMT"",
<http://web.archive.org/web/20200501074709/https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/7zky-in8p>; rel=""memento""; datetime=""Fri, 01 May 2020 07:47:09 GMT"",
<http://web.archive.org/web/20200501175810/https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/7zky-in8p>; rel=""memento""; datetime=""Fri, 01 May 2020 17:58:10 GMT"",
<http://web.archive.org/web/20200501175812/https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/7zky-in8p>; rel=""memento""; datetime=""Fri, 01 May 2020 17:58:12 GMT"",
<http://web.archive.org/web/20200501195043/https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/7zky-in8p>; rel=""memento""; datetime=""Fri, 01 May 2020 19:50:43 GMT"",
<http://web.archive.org/web/20200501195044/https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/7zky-in8p>; rel=""memento""; datetime=""Fri, 01 May 2020 19:50:44 GMT"",
<http://web.archive.org/web/20201024144858/https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/7zky-in8p>; rel=""memento""; datetime=""Sat, 24 Oct 2020 14:48:58 GMT"",
<http://web.archive.org/web/20210117092603/https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/7zky-in8p>; rel=""memento""; datetime=""Sun, 17 Jan 2021 09:26:03 GMT"",
<http://web.archive.org/web/20210322210901/https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/7zky-in8p>; rel=""memento""; datetime=""Mon, 22 Mar 2021 21:09:01 GMT"",
<http://web.archive.org/web/20241130081517/https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/7zky-in8p>; rel=""memento""; datetime=""Sat, 30 Nov 2024 08:15:17 GMT"",
<http://web.archive.org/web/20250201010335/https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/7zky-in8p>; rel=""memento""; datetime=""Sat, 01 Feb 2025 01:03:35 GMT"",
<http://web.archive.org/web/20250201215735/https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/7zky-in8p>; rel=""memento""; datetime=""Sat, 01 Feb 2025 21:57:35 GMT"",
<http://web.archive.org/web/20250202074049/https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/7zky-in8p>; rel=""memento""; datetime=""Sun, 02 Feb 2025 07:40:49 GMT"",
<http://web.archive.org/web/20250205010150/https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/7zky-in8p>; rel=""memento""; datetime=""Wed, 05 Feb 2025 01:01:50 GMT"",
<http://web.archive.org/web/20250211194414/https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/7zky-in8p/>; rel=""memento""; datetime=""Tue, 11 Feb 2025 19:44:14 GMT"",
<http://web.archive.org/web/20250211194433/https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/7zky-in8p>; rel=""memento""; datetime=""Tue, 11 Feb 2025 19:44:33 GMT"",
<http://web.archive.org/web/20250211194439/https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/7zky-in8p>; rel=""memento""; datetime=""Tue, 11 Feb 2025 19:44:39 GMT""
","{'name': 'Percentage of Adults Who Report Driving After Drinking Too Much (in the past 30 days), 2012 & 2014,  Region 10 - Seattle', 'id': '7zky-in8p', 'description': 'Source: Behavioral Risk Factor Surveillance System (BRFSS), 2012, 2014.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/7zky-in8p'}"
"Percentage of Adults Who Report Driving After Drinking Too Much (in the past 30 days), 2012 & 2014, Region 1 - Boston",e8fc-yrqd,e8fc-yrqd_1736727586.293743_Percentage_of_Adults_Who_Report_Driving_After_Drinking_Too_Much__in_the_past_30_days___2012___2014__Region_1_-_Boston_20250113.csv.gz,2025-01-13 00:19:46 UTC,https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/e8fc-yrqd,"Source: Behavioral Risk Factor Surveillance System (BRFSS), 2012, 2014.",,"{'name': 'Percentage of Adults Who Report Driving After Drinking Too Much (in the past 30 days), 2012 & 2014, Region 1 - Boston', 'id': 'e8fc-yrqd', 'description': 'Source: Behavioral Risk Factor Surveillance System (BRFSS), 2012, 2014.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/e8fc-yrqd'}"
"Percentage of Adults Who Report Driving After Drinking Too Much (in the past 30 days), 2012 & 2014, Region 2 - New York",g4ag-jrdn,g4ag-jrdn_1736732091.723030_Percentage_of_Adults_Who_Report_Driving_After_Drinking_Too_Much__in_the_past_30_days___2012___2014__Region_2_-_New_York_20250113.csv.gz,2025-01-13 01:34:51 UTC,https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/g4ag-jrdn,"Source: Behavioral Risk Factor Surveillance System (BRFSS), 2012, 2014.",,"{'name': 'Percentage of Adults Who Report Driving After Drinking Too Much (in the past 30 days), 2012 & 2014, Region 2 - New York', 'id': 'g4ag-jrdn', 'description': 'Source: Behavioral Risk Factor Surveillance System (BRFSS), 2012, 2014.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/g4ag-jrdn'}"
"Percentage of Adults Who Report Driving After Drinking Too Much (in the past 30 days), 2012 & 2014, Region 3 - Philadelphia",bjsc-yd7n,bjsc-yd7n_1736732745.830407_Percentage_of_Adults_Who_Report_Driving_After_Drinking_Too_Much__in_the_past_30_days___2012___2014__Region_3_-_Philadelphia_20250113.csv.gz,2025-01-13 01:45:45 UTC,https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/bjsc-yd7n,"Source: Behavioral Risk Factor Surveillance System (BRFSS), 2012, 2014.",,"{'name': 'Percentage of Adults Who Report Driving After Drinking Too Much (in the past 30 days), 2012 & 2014, Region 3 - Philadelphia', 'id': 'bjsc-yd7n', 'description': 'Source: Behavioral Risk Factor Surveillance System (BRFSS), 2012, 2014.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/bjsc-yd7n'}"
"Percentage of Adults Who Report Driving After Drinking Too Much (in the past 30 days), 2012 & 2014, Region 5 - Chicago",5p6r-d32s,5p6r-d32s_1736732732.228823_Percentage_of_Adults_Who_Report_Driving_After_Drinking_Too_Much__in_the_past_30_days___2012___2014__Region_5_-_Chicago_20250113.csv.gz,2025-01-13 01:45:32 UTC,https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/5p6r-d32s,"Source: Behavioral Risk Factor Surveillance System (BRFSS), 2012, 2014.",,"{'name': 'Percentage of Adults Who Report Driving After Drinking Too Much (in the past 30 days), 2012 & 2014, Region 5 - Chicago', 'id': '5p6r-d32s', 'description': 'Source: Behavioral Risk Factor Surveillance System (BRFSS), 2012, 2014.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/5p6r-d32s'}"
"Percentage of Adults Who Report Driving After Drinking Too Much (in the past 30 days), 2012 & 2014, Region 6 - Dallas",9w38-t35p,9w38-t35p_1736732904.519142_Percentage_of_Adults_Who_Report_Driving_After_Drinking_Too_Much__in_the_past_30_days___2012___2014__Region_6_-_Dallas_20250113.csv.gz,2025-01-13 01:48:24 UTC,https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/9w38-t35p,"Source: Behavioral Risk Factor Surveillance System (BRFSS), 2012, 2014.",,"{'name': 'Percentage of Adults Who Report Driving After Drinking Too Much (in the past 30 days), 2012 & 2014, Region 6 - Dallas', 'id': '9w38-t35p', 'description': 'Source: Behavioral Risk Factor Surveillance System (BRFSS), 2012, 2014.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/9w38-t35p'}"
"Percentage of Adults Who Report Driving After Drinking Too Much (in the past 30 days), 2012 & 2014, Region 8 - Denver",a37y-w96i,a37y-w96i_1736733019.579540_Percentage_of_Adults_Who_Report_Driving_After_Drinking_Too_Much__in_the_past_30_days___2012___2014__Region_8_-_Denver_20250113.csv.gz,2025-01-13 01:50:19 UTC,https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/a37y-w96i,"Source: Behavioral Risk Factor Surveillance System (BRFSS), 2012, 2014",,"{'name': 'Percentage of Adults Who Report Driving After Drinking Too Much (in the past 30 days), 2012 & 2014, Region 8 - Denver', 'id': 'a37y-w96i', 'description': 'Source: Behavioral Risk Factor Surveillance System (BRFSS), 2012, 2014', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/a37y-w96i'}"
"Percentage of Adults Who Report Driving After Drinking Too Much (in the past 30 days), 2012 & 2014, Region 9 - San Francisco",i9qr-47vu,i9qr-47vu_1736734055.127672_Percentage_of_Adults_Who_Report_Driving_After_Drinking_Too_Much__in_the_past_30_days___2012___2014__Region_9_-_San_Francisco_20250113.csv.gz,2025-01-13 02:07:35 UTC,https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/i9qr-47vu,"Source: Behavioral Risk Factor Surveillance System (BRFSS), 2012, 2014.",,"{'name': 'Percentage of Adults Who Report Driving After Drinking Too Much (in the past 30 days), 2012 & 2014, Region 9 - San Francisco', 'id': 'i9qr-47vu', 'description': 'Source: Behavioral Risk Factor Surveillance System (BRFSS), 2012, 2014.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/i9qr-47vu'}"
"Percentage of Adults Who Report Driving After Drinking Too Much (in the past 30 days), All States, 2012 & 2014",s9bp-7k3m,s9bp-7k3m_1736716803.872084_Percentage_of_Adults_Who_Report_Driving_After_Drinking_Too_Much__in_the_past_30_days___All_States__2012___2014_20250112.csv.gz,2025-01-12 21:20:03 UTC,https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/s9bp-7k3m,"Source: Behavioral Risk Factor Surveillance System (BRFSS), 2012 & 2014.","<https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/s9bp-7k3m>; rel=""original"",
<http://web.archive.org/web/timemap/link/https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/s9bp-7k3m>; rel=""self""; type=""application/link-format""; from=""Sat, 05 Sep 2015 15:55:21 GMT"",
<http://web.archive.org/web/https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/s9bp-7k3m>; rel=""timegate"",
<http://web.archive.org/web/20150905155521/https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/s9bp-7k3m>; rel=""first memento""; datetime=""Sat, 05 Sep 2015 15:55:21 GMT"",
<http://web.archive.org/web/20180131014858/https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/s9bp-7k3m>; rel=""memento""; datetime=""Wed, 31 Jan 2018 01:48:58 GMT"",
<http://web.archive.org/web/20181214033134/https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/s9bp-7k3m>; rel=""memento""; datetime=""Fri, 14 Dec 2018 03:31:34 GMT"",
<http://web.archive.org/web/20200419220828/https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/s9bp-7k3m>; rel=""memento""; datetime=""Sun, 19 Apr 2020 22:08:28 GMT"",
<http://web.archive.org/web/20200930005119/https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/s9bp-7k3m>; rel=""memento""; datetime=""Wed, 30 Sep 2020 00:51:19 GMT"",
<http://web.archive.org/web/20210124072237/https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/s9bp-7k3m>; rel=""memento""; datetime=""Sun, 24 Jan 2021 07:22:37 GMT"",
<http://web.archive.org/web/20210418154826/https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/s9bp-7k3m>; rel=""memento""; datetime=""Sun, 18 Apr 2021 15:48:26 GMT"",
<http://web.archive.org/web/20210511015653/https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/s9bp-7k3m>; rel=""memento""; datetime=""Tue, 11 May 2021 01:56:53 GMT"",
<http://web.archive.org/web/20210922152310/https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/s9bp-7k3m>; rel=""memento""; datetime=""Wed, 22 Sep 2021 15:23:10 GMT"",
<http://web.archive.org/web/20220527164336/https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/s9bp-7k3m>; rel=""memento""; datetime=""Fri, 27 May 2022 16:43:36 GMT"",
<http://web.archive.org/web/20220708233522/https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/s9bp-7k3m>; rel=""memento""; datetime=""Fri, 08 Jul 2022 23:35:22 GMT"",
<http://web.archive.org/web/20221006181436/https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/s9bp-7k3m>; rel=""memento""; datetime=""Thu, 06 Oct 2022 18:14:36 GMT"",
<http://web.archive.org/web/20230202185012/https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/s9bp-7k3m>; rel=""memento""; datetime=""Thu, 02 Feb 2023 18:50:12 GMT"",
<http://web.archive.org/web/20230331193638/https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/s9bp-7k3m>; rel=""memento""; datetime=""Fri, 31 Mar 2023 19:36:38 GMT"",
<http://web.archive.org/web/20231202192537/https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/s9bp-7k3m>; rel=""memento""; datetime=""Sat, 02 Dec 2023 19:25:37 GMT"",
<http://web.archive.org/web/20240521051513/https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/s9bp-7k3m>; rel=""memento""; datetime=""Tue, 21 May 2024 05:15:13 GMT"",
<http://web.archive.org/web/20240805041925/https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/s9bp-7k3m>; rel=""memento""; datetime=""Mon, 05 Aug 2024 04:19:25 GMT"",
<http://web.archive.org/web/20241107043519/https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/s9bp-7k3m>; rel=""memento""; datetime=""Thu, 07 Nov 2024 04:35:19 GMT"",
<http://web.archive.org/web/20241130034827/https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/s9bp-7k3m>; rel=""memento""; datetime=""Sat, 30 Nov 2024 03:48:27 GMT"",
<http://web.archive.org/web/20250131205731/https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/s9bp-7k3m>; rel=""memento""; datetime=""Fri, 31 Jan 2025 20:57:31 GMT"",
<http://web.archive.org/web/20250201020429/https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/s9bp-7k3m>; rel=""memento""; datetime=""Sat, 01 Feb 2025 02:04:29 GMT"",
<http://web.archive.org/web/20250201211200/https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/s9bp-7k3m>; rel=""memento""; datetime=""Sat, 01 Feb 2025 21:12:00 GMT"",
<http://web.archive.org/web/20250202094900/https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/s9bp-7k3m>; rel=""memento""; datetime=""Sun, 02 Feb 2025 09:49:00 GMT"",
<http://web.archive.org/web/20250203034628/https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/s9bp-7k3m>; rel=""memento""; datetime=""Mon, 03 Feb 2025 03:46:28 GMT"",
<http://web.archive.org/web/20250208005022/https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/s9bp-7k3m>; rel=""memento""; datetime=""Sat, 08 Feb 2025 00:50:22 GMT"",
<http://web.archive.org/web/20250209175547/https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/s9bp-7k3m/>; rel=""memento""; datetime=""Sun, 09 Feb 2025 17:55:47 GMT"",
<http://web.archive.org/web/20250209175607/https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/s9bp-7k3m>; rel=""memento""; datetime=""Sun, 09 Feb 2025 17:56:07 GMT"",
<http://web.archive.org/web/20250209175612/https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/s9bp-7k3m>; rel=""memento""; datetime=""Sun, 09 Feb 2025 17:56:12 GMT""
","{'name': 'Percentage of Adults Who Report Driving After Drinking Too Much (in the past 30 days), All States, 2012 & 2014', 'id': 's9bp-7k3m', 'description': 'Source: Behavioral Risk Factor Surveillance System (BRFSS), 2012 & 2014.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Motor-Vehicle/Percentage-of-Adults-Who-Report-Driving-After-Drin/s9bp-7k3m'}"
"Percentage of Drivers and Front Seat Passengers Wearing Seat Belts, 2012 & 2014, All States",rmzv-dc5f,rmzv-dc5f_1736719627.237301_Percentage_of_Drivers_and_Front_Seat_Passengers_Wearing_Seat_Belts__2012___2014__All_States_20250112.csv.gz,2025-01-12 22:07:07 UTC,https://data.cdc.gov/Motor-Vehicle/Percentage-of-Drivers-and-Front-Seat-Passengers-We/rmzv-dc5f,"Source for 2012 national data: National Occupant Protection Use Survey (NOPUS), 2012. Source for 2012 state data: State Observational Survey of Seat Belt Use, 2012. Source for 2014 national data: National Highway Traffic Safety Administration's (NHTSA) National Occupant Protection Use Survey (NOPUS), 2014. Source for 2014 state data: National Highway Traffic Safety Administration's (NHTSA) State Observation of Seat Belt Use, 2014",,"{'name': 'Percentage of Drivers and Front Seat Passengers Wearing Seat Belts, 2012 & 2014, All States', 'id': 'rmzv-dc5f', 'description': ""Source for 2012 national data: National Occupant Protection Use Survey (NOPUS), 2012. Source for 2012 state data: State Observational Survey of Seat Belt Use, 2012. Source for 2014 national data: National Highway Traffic Safety Administration's (NHTSA) National Occupant Protection Use Survey (NOPUS), 2014. Source for 2014 state data: National Highway Traffic Safety Administration's (NHTSA) State Observation of Seat Belt Use, 2014"", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Motor-Vehicle/Percentage-of-Drivers-and-Front-Seat-Passengers-We/rmzv-dc5f'}"
"Percentage of Drivers and Front Seat Passengers Wearing Seat Belts, 2012 & 2014, Region 1 - Boston",6tmq-h6uy,6tmq-h6uy_1736708353.327346_Percentage_of_Drivers_and_Front_Seat_Passengers_Wearing_Seat_Belts__2012___2014__Region_1_-_Boston_20250112.csv.gz,2025-01-12 18:59:13 UTC,https://data.cdc.gov/Motor-Vehicle/Percentage-of-Drivers-and-Front-Seat-Passengers-We/6tmq-h6uy,"Source for 2012 national data: National Occupant Protection Use Survey (NOPUS), 2012. Source for 2014 national data: National Occupant Protection Use Survey (NOPUS), 2014.  Source for 2012 state data: State Observational Survey of Seat Belt Use, 2012. Source for 2014 state data: Seat Belt Use in 2014- Use Rates in the States and Territories",,"{'name': 'Percentage of Drivers and Front Seat Passengers Wearing Seat Belts, 2012 & 2014, Region 1 - Boston', 'id': '6tmq-h6uy', 'description': 'Source for 2012 national data: National Occupant Protection Use Survey (NOPUS), 2012. Source for 2014 national data: National Occupant Protection Use Survey (NOPUS), 2014.  Source for 2012 state data: State Observational Survey of Seat Belt Use, 2012. Source for 2014 state data: Seat Belt Use in 2014- Use Rates in the States and Territories', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Motor-Vehicle/Percentage-of-Drivers-and-Front-Seat-Passengers-We/6tmq-h6uy'}"
"Percentage of Drivers and Front Seat Passengers Wearing Seat Belts, 2012 & 2014, Region 10 - Seattle",msjj-a7q2,msjj-a7q2_1736732159.259586_Percentage_of_Drivers_and_Front_Seat_Passengers_Wearing_Seat_Belts__2012___2014__Region_10_-_Seattle_20250113.csv.gz,2025-01-13 01:35:59 UTC,https://data.cdc.gov/Motor-Vehicle/Percentage-of-Drivers-and-Front-Seat-Passengers-We/msjj-a7q2,"Source for 2012 national data: National Occupant Protection Use Survey (NOPUS), 2012. Source for 2014 national data: National Occupant Protection Use Survey (NOPUS), 2014.  Source for 2012 state data: State Observational Survey of Seat Belt Use, 2012. Source for 2014 state data: Seat Belt Use in 2014- Use Rates in the States and Territories",,"{'name': 'Percentage of Drivers and Front Seat Passengers Wearing Seat Belts, 2012 & 2014, Region 10 - Seattle', 'id': 'msjj-a7q2', 'description': 'Source for 2012 national data: National Occupant Protection Use Survey (NOPUS), 2012. Source for 2014 national data: National Occupant Protection Use Survey (NOPUS), 2014.  Source for 2012 state data: State Observational Survey of Seat Belt Use, 2012. Source for 2014 state data: Seat Belt Use in 2014- Use Rates in the States and Territories', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Motor-Vehicle/Percentage-of-Drivers-and-Front-Seat-Passengers-We/msjj-a7q2'}"
"Percentage of Drivers and Front Seat Passengers Wearing Seat Belts, 2012 & 2014, Region 2 - New York",hget-9fst,hget-9fst_1736731358.023092_Percentage_of_Drivers_and_Front_Seat_Passengers_Wearing_Seat_Belts__2012___2014__Region_2_-_New_York_20250113.csv.gz,2025-01-13 01:22:38 UTC,https://data.cdc.gov/Motor-Vehicle/Percentage-of-Drivers-and-Front-Seat-Passengers-We/hget-9fst,"Source for 2012 national data: National Occupant Protection Use Survey (NOPUS), 2012. Source for 2014 national data: National Occupant Protection Use Survey (NOPUS), 2014.  Source for 2012 state data: State Observational Survey of Seat Belt Use, 2012. Source for 2014 state data: Seat Belt Use in 2014- Use Rates in the States and Territories",,"{'name': 'Percentage of Drivers and Front Seat Passengers Wearing Seat Belts, 2012 & 2014, Region 2 - New York', 'id': 'hget-9fst', 'description': 'Source for 2012 national data: National Occupant Protection Use Survey (NOPUS), 2012. Source for 2014 national data: National Occupant Protection Use Survey (NOPUS), 2014.  Source for 2012 state data: State Observational Survey of Seat Belt Use, 2012. Source for 2014 state data: Seat Belt Use in 2014- Use Rates in the States and Territories', 'datatype': 'tabular', 'keywords': ['public safety', 'housing & development', 'politics', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Motor-Vehicle/Percentage-of-Drivers-and-Front-Seat-Passengers-We/hget-9fst'}"
"Percentage of Drivers and Front Seat Passengers Wearing Seat Belts, 2012 & 2014, Region 3 - Philadelphia",hauf-e9a4,hauf-e9a4_1736731262.399937_Percentage_of_Drivers_and_Front_Seat_Passengers_Wearing_Seat_Belts__2012___2014__Region_3_-_Philadelphia_20250113.csv.gz,2025-01-13 01:21:02 UTC,https://data.cdc.gov/Motor-Vehicle/Percentage-of-Drivers-and-Front-Seat-Passengers-We/hauf-e9a4,"Source for 2012 national data: National Occupant Protection Use Survey (NOPUS), 2012. Source for 2014 national data: National Occupant Protection Use Survey (NOPUS), 2014.  Source for 2012 state data: State Observational Survey of Seat Belt Use, 2012. Source for 2014 state data: Seat Belt Use in 2014- Use Rates in the States and Territories",,"{'name': 'Percentage of Drivers and Front Seat Passengers Wearing Seat Belts, 2012 & 2014, Region 3 - Philadelphia', 'id': 'hauf-e9a4', 'description': 'Source for 2012 national data: National Occupant Protection Use Survey (NOPUS), 2012. Source for 2014 national data: National Occupant Protection Use Survey (NOPUS), 2014.  Source for 2012 state data: State Observational Survey of Seat Belt Use, 2012. Source for 2014 state data: Seat Belt Use in 2014- Use Rates in the States and Territories', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Motor-Vehicle/Percentage-of-Drivers-and-Front-Seat-Passengers-We/hauf-e9a4'}"
"Percentage of Drivers and Front Seat Passengers Wearing Seat Belts, 2012 & 2014, Region 4 - Atlanta",vqff-ff7g,vqff-ff7g_1736731316.826924_Percentage_of_Drivers_and_Front_Seat_Passengers_Wearing_Seat_Belts__2012___2014__Region_4_-_Atlanta_20250113.csv.gz,2025-01-13 01:21:56 UTC,https://data.cdc.gov/Motor-Vehicle/Percentage-of-Drivers-and-Front-Seat-Passengers-We/vqff-ff7g,"Source for 2012 national data: National Occupant Protection Use Survey (NOPUS), 2012. Source for 2014 national data: National Occupant Protection Use Survey (NOPUS), 2014.  Source for 2012 state data: State Observational Survey of Seat Belt Use, 2012. Source for 2014 state data: Seat Belt Use in 2014- Use Rates in the States and Territories",,"{'name': 'Percentage of Drivers and Front Seat Passengers Wearing Seat Belts, 2012 & 2014, Region 4 - Atlanta', 'id': 'vqff-ff7g', 'description': 'Source for 2012 national data: National Occupant Protection Use Survey (NOPUS), 2012. Source for 2014 national data: National Occupant Protection Use Survey (NOPUS), 2014.  Source for 2012 state data: State Observational Survey of Seat Belt Use, 2012. Source for 2014 state data: Seat Belt Use in 2014- Use Rates in the States and Territories', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Motor-Vehicle/Percentage-of-Drivers-and-Front-Seat-Passengers-We/vqff-ff7g'}"
"Percentage of Drivers and Front Seat Passengers Wearing Seat Belts, 2012 & 2014, Region 5 - Chicago",26a7-nc4u,26a7-nc4u_1736731622.046769_Percentage_of_Drivers_and_Front_Seat_Passengers_Wearing_Seat_Belts__2012___2014__Region_5_-_Chicago_20250113.csv.gz,2025-01-13 01:27:02 UTC,https://data.cdc.gov/Motor-Vehicle/Percentage-of-Drivers-and-Front-Seat-Passengers-We/26a7-nc4u,"Source for 2012 national data: National Occupant Protection Use Survey (NOPUS), 2012. Source for 2014 national data: National Occupant Protection Use Survey (NOPUS), 2014.  Source for 2012 state data: State Observational Survey of Seat Belt Use, 2012. Source for 2014 state data: Seat Belt Use in 2014- Use Rates in the States and Territories",,"{'name': 'Percentage of Drivers and Front Seat Passengers Wearing Seat Belts, 2012 & 2014, Region 5 - Chicago', 'id': '26a7-nc4u', 'description': 'Source for 2012 national data: National Occupant Protection Use Survey (NOPUS), 2012. Source for 2014 national data: National Occupant Protection Use Survey (NOPUS), 2014.  Source for 2012 state data: State Observational Survey of Seat Belt Use, 2012. Source for 2014 state data: Seat Belt Use in 2014- Use Rates in the States and Territories', 'datatype': 'tabular', 'keywords': ['public safety', 'housing & development', 'politics', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Motor-Vehicle/Percentage-of-Drivers-and-Front-Seat-Passengers-We/26a7-nc4u'}"
"Percentage of Drivers and Front Seat Passengers Wearing Seat Belts, 2012 & 2014, Region 6 - Dallas",4r49-eadb,4r49-eadb_1736731046.488061_Percentage_of_Drivers_and_Front_Seat_Passengers_Wearing_Seat_Belts__2012___2014__Region_6_-_Dallas_20250113.csv.gz,2025-01-13 01:17:26 UTC,https://data.cdc.gov/Motor-Vehicle/Percentage-of-Drivers-and-Front-Seat-Passengers-We/4r49-eadb,"Source for 2012 national data: National Occupant Protection Use Survey (NOPUS), 2012. Source for 2014 national data: National Occupant Protection Use Survey (NOPUS), 2014.  Source for 2012 state data: State Observational Survey of Seat Belt Use, 2012. Source for 2014 state data: Seat Belt Use in 2014- Use Rates in the States and Territories",,"{'name': 'Percentage of Drivers and Front Seat Passengers Wearing Seat Belts, 2012 & 2014, Region 6 - Dallas', 'id': '4r49-eadb', 'description': 'Source for 2012 national data: National Occupant Protection Use Survey (NOPUS), 2012. Source for 2014 national data: National Occupant Protection Use Survey (NOPUS), 2014.  Source for 2012 state data: State Observational Survey of Seat Belt Use, 2012. Source for 2014 state data: Seat Belt Use in 2014- Use Rates in the States and Territories', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Motor-Vehicle/Percentage-of-Drivers-and-Front-Seat-Passengers-We/4r49-eadb'}"
"Percentage of Drivers and Front Seat Passengers Wearing Seat Belts, 2012 & 2014, Region 7 - Kansas City",y8pa-p62q,y8pa-p62q_1736731745.767309_Percentage_of_Drivers_and_Front_Seat_Passengers_Wearing_Seat_Belts__2012___2014__Region_7_-_Kansas_City_20250113.csv.gz,2025-01-13 01:29:05 UTC,https://data.cdc.gov/Motor-Vehicle/Percentage-of-Drivers-and-Front-Seat-Passengers-We/y8pa-p62q,"Source for 2012 national data: National Occupant Protection Use Survey (NOPUS), 2012. Source for 2014 national data: National Occupant Protection Use Survey (NOPUS), 2014.  Source for 2012 state data: State Observational Survey of Seat Belt Use, 2012. Source for 2014 state data: Seat Belt Use in 2014- Use Rates in the States and Territories",,"{'name': 'Percentage of Drivers and Front Seat Passengers Wearing Seat Belts, 2012 & 2014, Region 7 - Kansas City', 'id': 'y8pa-p62q', 'description': 'Source for 2012 national data: National Occupant Protection Use Survey (NOPUS), 2012. Source for 2014 national data: National Occupant Protection Use Survey (NOPUS), 2014.  Source for 2012 state data: State Observational Survey of Seat Belt Use, 2012. Source for 2014 state data: Seat Belt Use in 2014- Use Rates in the States and Territories', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Motor-Vehicle/Percentage-of-Drivers-and-Front-Seat-Passengers-We/y8pa-p62q'}"
"Percentage of Drivers and Front Seat Passengers Wearing Seat Belts, 2012 & 2014, Region 8 - Denver",iz46-hpaa,iz46-hpaa_1736732366.501632_Percentage_of_Drivers_and_Front_Seat_Passengers_Wearing_Seat_Belts__2012___2014__Region_8_-_Denver_20250113.csv.gz,2025-01-13 01:39:26 UTC,https://data.cdc.gov/Motor-Vehicle/Percentage-of-Drivers-and-Front-Seat-Passengers-We/iz46-hpaa,"Source for 2012 national data: National Occupant Protection Use Survey (NOPUS), 2012. Source for 2014 national data: National Occupant Protection Use Survey (NOPUS), 2014.  Source for 2012 state data: State Observational Survey of Seat Belt Use, 2012. Source for 2014 state data: Seat Belt Use in 2014- Use Rates in the States and Territories",,"{'name': 'Percentage of Drivers and Front Seat Passengers Wearing Seat Belts, 2012 & 2014, Region 8 - Denver', 'id': 'iz46-hpaa', 'description': 'Source for 2012 national data: National Occupant Protection Use Survey (NOPUS), 2012. Source for 2014 national data: National Occupant Protection Use Survey (NOPUS), 2014.  Source for 2012 state data: State Observational Survey of Seat Belt Use, 2012. Source for 2014 state data: Seat Belt Use in 2014- Use Rates in the States and Territories', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Motor-Vehicle/Percentage-of-Drivers-and-Front-Seat-Passengers-We/iz46-hpaa'}"
"Percentage of Drivers and Front Seat Passengers Wearing Seat Belts, 2012 & 2014, Region 9 - San Francisco",fkfk-2j5x,fkfk-2j5x_1736732295.559179_Percentage_of_Drivers_and_Front_Seat_Passengers_Wearing_Seat_Belts__2012___2014__Region_9_-_San_Francisco_20250113.csv.gz,2025-01-13 01:38:15 UTC,https://data.cdc.gov/Motor-Vehicle/Percentage-of-Drivers-and-Front-Seat-Passengers-We/fkfk-2j5x,"Source for 2012 national data: National Occupant Protection Use Survey (NOPUS), 2012. Source for 2014 national data: National Occupant Protection Use Survey (NOPUS), 2014.  Source for 2012 state data: State Observational Survey of Seat Belt Use, 2012. Source for 2014 state data: Seat Belt Use in 2014- Use Rates in the States and Territories",,"{'name': 'Percentage of Drivers and Front Seat Passengers Wearing Seat Belts, 2012 & 2014, Region 9 - San Francisco', 'id': 'fkfk-2j5x', 'description': 'Source for 2012 national data: National Occupant Protection Use Survey (NOPUS), 2012. Source for 2014 national data: National Occupant Protection Use Survey (NOPUS), 2014.  Source for 2012 state data: State Observational Survey of Seat Belt Use, 2012. Source for 2014 state data: Seat Belt Use in 2014- Use Rates in the States and Territories', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Motor-Vehicle/Percentage-of-Drivers-and-Front-Seat-Passengers-We/fkfk-2j5x'}"
Physician Experiences Related to COVID-19 from the National Ambulatory Medical Care Survey,kk8c-wtm4,kk8c-wtm4_1736723485.764502_Physician_Experiences_Related_to_COVID-19_from_the_National_Ambulatory_Medical_Care_Survey_20250112.csv.gz,2025-01-12 23:11:25 UTC,https://data.cdc.gov/NCHS/Physician-Experiences-Related-to-COVID-19-from-the/kk8c-wtm4,"The National Ambulatory Medical Care Survey (NAMCS), conducted by the National Center for Health Statistics (NCHS), collects data on visits to physician offices to describe patterns of ambulatory care delivery in the United States. As part of NAMCS, the Physician Induction Interview collects information about practice characteristics at physician offices. Partway through the 2020 NAMCS, NCHS added questions to the Physician Induction Interview to assess physician experiences related to COVID-19 in office-based settings.

The data include nationally representative estimates of experiences related to COVID-19 among office-based physicians in the United States, including: shortages of personal protective equipment (PPE) in the past 3 months; the ability to test for COVID-19 in the past 3 months; providers testing positive for COVID-19 in the past 3 months; turning away COVID-19 patients in the past 3 months; and telemedicine or telehealth technology use before and after March 2020.  Estimates were derived from interviews with physicians in periods 3 and 4 of 2020 NAMCS and periods 1 through 4 of 2021 NAMCS, which occurred between December 15, 2020 and May 6, 2022.  The data are considered preliminary, and the results may change with the final data release.",,"{'name': 'Physician Experiences Related to COVID-19 from the National Ambulatory Medical Care Survey', 'id': 'kk8c-wtm4', 'description': 'The National Ambulatory Medical Care Survey (NAMCS), conducted by the National Center for Health Statistics (NCHS), collects data on visits to physician offices to describe patterns of ambulatory care delivery in the United States. As part of NAMCS, the Physician Induction Interview collects information about practice characteristics at physician offices. Partway through the 2020 NAMCS, NCHS added questions to the Physician Induction Interview to assess physician experiences related to COVID-19 in office-based settings.\n\nThe data include nationally representative estimates of experiences related to COVID-19 among office-based physicians in the United States, including: shortages of personal protective equipment (PPE) in the past 3 months; the ability to test for COVID-19 in the past 3 months; providers testing positive for COVID-19 in the past 3 months; turning away COVID-19 patients in the past 3 months; and telemedicine or telehealth technology use before and after March 2020.  Estimates were derived from interviews with physicians in periods 3 and 4 of 2020 NAMCS and periods 1 through 4 of 2021 NAMCS, which occurred between December 15, 2020 and May 6, 2022.  The data are considered preliminary, and the results may change with the final data release.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Physician-Experiences-Related-to-COVID-19-from-the/kk8c-wtm4'}"
Population Group Estimates used in the Healthy People 2020 Overview of Health Disparities,jfbs-8cpp,jfbs-8cpp_1736723739.206238_Population_Group_Estimates_used_in_the_Healthy_People_2020_Overview_of_Health_Disparities_20250112.csv.gz,2025-01-12 23:15:39 UTC,https://data.cdc.gov/NCHS/Population-Group-Estimates-used-in-the-Healthy-Peo/jfbs-8cpp,"The Overview of Health Disparities analysis is a component of the Healthy People 2020 (HP2020) Final Review. The analysis included 611 objectives in HP2020. See Technical Notes for the Healthy People 2020 Overview of Health Disparities (https://www.cdc.gov/nchs/healthy_people/hp2020/health-disparities.htm) for additional information and criteria for objectives, data years, and population characteristics included in the analysis and statistical formulas and definitions for the disparities measures. 

This file contains estimates and standard errors for the baseline and final years for individual population groups used in the Overview of Health Disparities analysis. The number and definitions of population groups varied across the HP2020 objectives and data sources used. These population groups are shown in the disparities file as originally reported by the data source, rather than the harmonized categories that were used for the HP2020 Progress by Population Group analysis (https://www.cdc.gov/nchs/healthy_people/hp2020/population-groups.htm). Additionally, for any given objective, the baseline and final years used for the disparities analysis do not necessarily correspond to the baseline and final years used to evaluate progress toward target attainment in the HP2020 Final Review Progress Table (https://www.cdc.gov/nchs/healthy_people/hp2020/progress-tables.htm) and Progress by Population Group analysis (https://www.cdc.gov/nchs/healthy_people/hp2020/population-groups.htm). These distinctions should be considered when merging the downloadable Progress Table or Progress by Population Group data files with the Overview of Health Disparities data files, or when integrative analyses that incorporate both disparities and progress data are conducted.  
    
Data for additional years during the HP2020 tracking period that are not included in the Overview of Health Disparities are available on the HP2020 website (https://www.healthypeople.gov/2020/).",,"{'name': 'Population Group Estimates used in the Healthy People 2020 Overview of Health Disparities', 'id': 'jfbs-8cpp', 'description': 'The Overview of Health Disparities analysis is a component of the Healthy People 2020 (HP2020) Final Review. The analysis included 611 objectives in HP2020. See Technical Notes for the Healthy People 2020 Overview of Health Disparities (https://www.cdc.gov/nchs/healthy_people/hp2020/health-disparities.htm) for additional information and criteria for objectives, data years, and population characteristics included in the analysis and statistical formulas and definitions for the disparities measures. \n\nThis file contains estimates and standard errors for the baseline and final years for individual population groups used in the Overview of Health Disparities analysis. The number and definitions of population groups varied across the HP2020 objectives and data sources used. These population groups are shown in the disparities file as originally reported by the data source, rather than the harmonized categories that were used for the HP2020 Progress by Population Group analysis (https://www.cdc.gov/nchs/healthy_people/hp2020/population-groups.htm). Additionally, for any given objective, the baseline and final years used for the disparities analysis do not necessarily correspond to the baseline and final years used to evaluate progress toward target attainment in the HP2020 Final Review Progress Table (https://www.cdc.gov/nchs/healthy_people/hp2020/progress-tables.htm) and Progress by Population Group analysis (https://www.cdc.gov/nchs/healthy_people/hp2020/population-groups.htm). These distinctions should be considered when merging the downloadable Progress Table or Progress by Population Group data files with the Overview of Health Disparities data files, or when integrative analyses that incorporate both disparities and progress data are conducted.  \n    \nData for additional years during the HP2020 tracking period that are not included in the Overview of Health Disparities are available on the HP2020 website (https://www.healthypeople.gov/2020/).', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Population-Group-Estimates-used-in-the-Healthy-Peo/jfbs-8cpp'}"
"Population-Weighted Global Horizontal Irradiance, 1991-2012",fdyw-m38t,fdyw-m38t_1737085812.499870_Population_Weighted_Global_Horizontal_Irradiance_1.csv.gz,2025-01-17 03:50:12 UTC,https://data.cdc.gov/Environmental-Health-Toxicology/Population-Weighted-Global-Horizontal-Irradiance-1/fdyw-m38t,"This dataset provides data at the county level for the contiguous United States. It includes daily Global Horizontal Irradiance (GHI) data from 1991-2012 provided by the Environmental Remote Sensing group at the Rollins School of Public Health at Emory University. Please refer to the metadata attachment for more information.

These data are used by the CDC's National Environmental Public Health Tracking Network to generate sunlight and ultraviolet (UV) measures. Learn more about sunlight and UV on the Tracking Network's website: https://ephtracking.cdc.gov/showUVLanding.

By using these data, you signify your agreement to comply with the following requirements: 
1.	Use the data for statistical reporting and analysis only. 
2.	Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals. 
3.	Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov. 
4.	Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating. 
5.	Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC. 
6.	Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking. 

Problems or Questions? 
Email trackingsupport@cdc.gov.",,"{'name': 'Population-Weighted Global Horizontal Irradiance, 1991-2012', 'id': 'fdyw-m38t', 'description': ""This dataset provides data at the county level for the contiguous United States. It includes daily Global Horizontal Irradiance (GHI) data from 1991-2012 provided by the Environmental Remote Sensing group at the Rollins School of Public Health at Emory University. Please refer to the metadata attachment for more information.\r\n\r\nThese data are used by the CDC's National Environmental Public Health Tracking Network to generate sunlight and ultraviolet (UV) measures. Learn more about sunlight and UV on the Tracking Network's website: https://ephtracking.cdc.gov/showUVLanding.\r\n\r\nBy using these data, you signify your agreement to comply with the following requirements: \r\n1.\tUse the data for statistical reporting and analysis only. \r\n2.\tDo not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals. \r\n3.\tDo not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov. \r\n4.\tDo not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating. \r\n5.\tAcknowledge, in all reports or presentations based on these data, the original source of the data and CDC. \r\n6.\tSuggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking. \r\n\r\nProblems or Questions? \r\nEmail trackingsupport@cdc.gov."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Environmental-Health-Toxicology/Population-Weighted-Global-Horizontal-Irradiance-1/fdyw-m38t'}"
"Population-Weighted Ultraviolet Irradiance, 2004-2015",h28b-t43q,h28b-t43q_1737085668.150494_Population_Weighted_Ultraviolet_Irradiance_2004_20.csv.gz,2025-01-17 03:47:48 UTC,https://data.cdc.gov/Environmental-Health-Toxicology/Population-Weighted-Ultraviolet-Irradiance-2004-20/h28b-t43q,"This dataset provides data at the county level for the contiguous United States. It includes daily Ozone Monitoring Instrument (OMI) Population-Weighted Ultraviolet (UV) irradiance data from October 2004-2015 provided by the Environmental Remote Sensing group at the Rollins School of Public Health at Emory University. Please refer to the metadata attachment for more information.

These data are used by the CDC's National Environmental Public Health Tracking Network to generate sunlight and UV measures. Learn more about sunlight and UV on the Tracking Network's website: https://ephtracking.cdc.gov/showUVLanding.

By using these data, you signify your agreement to comply with the following requirements: 
1.	Use the data for statistical reporting and analysis only. 
2.	Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals. 
3.	Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov. 
4.	Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating. 
5.	Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC. 
6.	Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking. 

Problems or Questions? 
Email trackingsupport@cdc.gov.",,"{'name': 'Population-Weighted Ultraviolet Irradiance, 2004-2015', 'id': 'h28b-t43q', 'description': ""This dataset provides data at the county level for the contiguous United States. It includes daily Ozone Monitoring Instrument (OMI) Population-Weighted Ultraviolet (UV) irradiance data from October 2004-2015 provided by the Environmental Remote Sensing group at the Rollins School of Public Health at Emory University. Please refer to the metadata attachment for more information.\r\n\r\nThese data are used by the CDC's National Environmental Public Health Tracking Network to generate sunlight and UV measures. Learn more about sunlight and UV on the Tracking Network's website: https://ephtracking.cdc.gov/showUVLanding.\r\n\r\nBy using these data, you signify your agreement to comply with the following requirements: \r\n1.\tUse the data for statistical reporting and analysis only. \r\n2.\tDo not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals. \r\n3.\tDo not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov. \r\n4.\tDo not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating. \r\n5.\tAcknowledge, in all reports or presentations based on these data, the original source of the data and CDC. \r\n6.\tSuggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking. \r\n\r\nProblems or Questions? \r\nEmail trackingsupport@cdc.gov."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Environmental-Health-Toxicology/Population-Weighted-Ultraviolet-Irradiance-2004-20/h28b-t43q'}"
Post-COVID Conditions,gsea-w83j,gsea-w83j_1736710810.298225_Post-COVID_Conditions_20250112.csv.gz,2025-01-12 19:40:10 UTC,https://data.cdc.gov/NCHS/Post-COVID-Conditions/gsea-w83j,"As part of an ongoing partnership with the Census Bureau, the National Center for Health Statistics (NCHS) recently added questions to assess the prevalence of post-COVID-19 conditions (long COVID), on the experimental Household Pulse Survey. This 20-minute online survey was designed to complement the ability of the federal statistical system to rapidly respond and provide relevant information about the impact of the coronavirus pandemic in the U.S. Data collection began on April 23, 2020. Beginning in Phase 3.5 (on June 1, 2022), NCHS included questions about the presence of symptoms of COVID that lasted three months or longer. Phase 3.5 will continue with a two-weeks on, two-weeks off collection and dissemination approach. 

Estimates on this page are derived from the Household Pulse Survey and show the percentage of adults aged 18 and over who a) as a proportion of the U.S. population, the percentage of adults who EVER experienced post-COVID conditions (long COVID). These adults had COVID and had some symptoms that lasted three months or longer; b) as a proportion of adults who said they ever had COVID, the percentage who EVER experienced post-COVID conditions; c) as a proportion of the U.S. population, the percentage of adults who are CURRENTLY experiencing post-COVID conditions. These adults had COVID, had long-term symptoms, and are still experiencing symptoms; d) as a proportion of adults who said they ever had COVID, the percentage who are CURRENTLY experiencing post-COVID conditions; and e) as a proportion of the U.S. population, the percentage of adults who said they ever had COVID.",,"{'name': 'Post-COVID Conditions', 'id': 'gsea-w83j', 'description': 'As part of an ongoing partnership with the Census Bureau, the National Center for Health Statistics (NCHS) recently added questions to assess the prevalence of post-COVID-19 conditions (long COVID), on the experimental Household Pulse Survey. This 20-minute online survey was designed to complement the ability of the federal statistical system to rapidly respond and provide relevant information about the impact of the coronavirus pandemic in the U.S. Data collection began on April 23, 2020. Beginning in Phase 3.5 (on June 1, 2022), NCHS included questions about the presence of symptoms of COVID that lasted three months or longer. Phase 3.5 will continue with a two-weeks on, two-weeks off collection and dissemination approach. \n\nEstimates on this page are derived from the Household Pulse Survey and show the percentage of adults aged 18 and over who a) as a proportion of the U.S. population, the percentage of adults who EVER experienced post-COVID conditions (long COVID). These adults had COVID and had some symptoms that lasted three months or longer; b) as a proportion of adults who said they ever had COVID, the percentage who EVER experienced post-COVID conditions; c) as a proportion of the U.S. population, the percentage of adults who are CURRENTLY experiencing post-COVID conditions. These adults had COVID, had long-term symptoms, and are still experiencing symptoms; d) as a proportion of adults who said they ever had COVID, the percentage who are CURRENTLY experiencing post-COVID conditions; and e) as a proportion of the U.S. population, the percentage of adults who said they ever had COVID.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Post-COVID-Conditions/gsea-w83j'}"
"Preliminary Estimates of Visits to Health Centers in the United States, January 2022-June 2024",367e-pucc,367e-pucc_1736730927.826193_Preliminary_Estimates_of_Visits_to_Health_Centers_in_the_United_States__January_2022-June_2024_20250113.csv.gz,2025-01-13 01:15:27 UTC,https://data.cdc.gov/NCHS/Preliminary-Estimates-of-Visits-to-Health-Centers-/367e-pucc,"The National Ambulatory Medical Care Survey (NAMCS) Health Center Component, conducted by the National Center for Health Statistics (NCHS), collects annual data on visits to health centers to describe patterns of utilization and provision of ambulatory care delivery in the United States. Data are collected from federally qualified health centers (FQHCs) and FQHC look-alikes from all 50 U.S. states and the District of Columbia and are used to develop nationally representative estimates. 
The data include preliminary, biannual counts and rates of health center visits from January 2022-June 2024 by medical diagnosis chapters, maternal and reproductive health-related diagnoses, mental health disorders, and respiratory conditions, stratified by selected patient characteristics. Estimates are split into biannual time periods (January to June, and July to December) and are considered preliminary, meaning they may differ from final estimates.",,"{'name': 'Preliminary Estimates of Visits to Health Centers in the United States, January 2022-June 2024', 'id': '367e-pucc', 'description': 'The National Ambulatory Medical Care Survey (NAMCS) Health Center Component, conducted by the National Center for Health Statistics (NCHS), collects annual data on visits to health centers to describe patterns of utilization and provision of ambulatory care delivery in the United States. Data are collected from federally qualified health centers (FQHCs) and FQHC look-alikes from all 50 U.S. states and the District of Columbia and are used to develop nationally representative estimates. \nThe data include preliminary, biannual counts and rates of health center visits from January 2022-June 2024 by medical diagnosis chapters, maternal and reproductive health-related diagnoses, mental health disorders, and respiratory conditions, stratified by selected patient characteristics. Estimates are split into biannual time periods (January to June, and July to December) and are considered preliminary, meaning they may differ from final estimates.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Preliminary-Estimates-of-Visits-to-Health-Centers-/367e-pucc'}"
"Prevalence of Selected Measures Among Adults Aged 20 and Over: United States, 1999-2000 through 2017-2018",28df-2bwy,28df-2bwy_1736715385.152147_Prevalence_of_Selected_Measures_Among_Adults_Aged_20_and_Over__United_States__1999-2000_through_2017-2018_20250112.csv.gz,2025-01-12 20:56:25 UTC,https://data.cdc.gov/NCHS/Prevalence-of-Selected-Measures-Among-Adults-Aged-/28df-2bwy,"This data represents the age-adjusted prevalence of high total cholesterol, hypertension, and obesity among US adults aged 20 and over between 1999-2000 to 2017-2018.


Notes:

* All estimates are age adjusted by the direct method to the U.S. Census 2000 population using age groups 20–39, 40–59, and 60 and over.


Definitions

Hypertension: Systolic blood pressure greater than or equal to 130 mmHg or diastolic blood pressure greater than or equal to 80 mmHg, or currently taking medication to lower high blood pressure

High total cholesterol: Serum total cholesterol greater than or equal to 240 mg/dL.

Obesity: Body mass index (BMI, weight in kilograms divided by height in meters squared) greater than or equal to 30.


Data Source and Methods

Data from the National Health and Nutrition Examination Surveys (NHANES) for the years 1999–2000, 2001–2002, 2003–2004, 2005–2006, 2007–2008, 2009–2010, 2011–2012, 2013–2014, 2015–2016, and 2017–2018 were used for these analyses.

NHANES is a cross-sectional survey designed to monitor the health and nutritional status of the civilian noninstitutionalized U.S. population. The survey consists of interviews conducted in participants’ homes and standardized physical examinations, including a blood draw, conducted in mobile examination centers.",,"{'name': 'Prevalence of Selected Measures Among Adults Aged 20 and Over: United States, 1999-2000 through 2017-2018', 'id': '28df-2bwy', 'description': 'This data represents the age-adjusted prevalence of high total cholesterol, hypertension, and obesity among US adults aged 20 and over between 1999-2000 to 2017-2018.\n\n\nNotes:\n\n* All estimates are age adjusted by the direct method to the U.S. Census 2000 population using age groups 20–39, 40–59, and 60 and over.\n\n\nDefinitions\n\nHypertension: Systolic blood pressure greater than or equal to 130 mmHg or diastolic blood pressure greater than or equal to 80 mmHg, or currently taking medication to lower high blood pressure\n\nHigh total cholesterol: Serum total cholesterol greater than or equal to 240 mg/dL.\n\nObesity: Body mass index (BMI, weight in kilograms divided by height in meters squared) greater than or equal to 30.\n\n\nData Source and Methods\n\nData from the National Health and Nutrition Examination Surveys (NHANES) for the years 1999–2000, 2001–2002, 2003–2004, 2005–2006, 2007–2008, 2009–2010, 2011–2012, 2013–2014, 2015–2016, and 2017–2018 were used for these analyses.\n\nNHANES is a cross-sectional survey designed to monitor the health and nutritional status of the civilian noninstitutionalized U.S. population. The survey consists of interviews conducted in participants’ homes and standardized physical examinations, including a blood draw, conducted in mobile examination centers.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Prevalence-of-Selected-Measures-Among-Adults-Aged-/28df-2bwy'}"
"Prolonged Unplanned School Closures: USA, 2011-2019",5iuf-feyd,5iuf-feyd_1736734721.978245_Prolonged_Unplanned_School_Closures__USA__2011-2019_20250113.csv.gz,2025-01-13 02:18:41 UTC,https://data.cdc.gov/Public-Health-Surveillance/Prolonged-Unplanned-School-Closures-USA-2011-2019/5iuf-feyd,"Prolonged unplanned public K-12 school district and individual school closures in the United States from August 1, 2011 – June 30, 2019. Prolonged unplanned school closure is defined as a school closure lasting ≥5 school days, excluding any scheduled days off.",,"{'name': 'Prolonged Unplanned School Closures: USA, 2011-2019', 'id': '5iuf-feyd', 'description': 'Prolonged unplanned public K-12 school district and individual school closures in the United States from August 1, 2011 – June 30, 2019. Prolonged unplanned school closure is defined as a school closure lasting ≥5 school days, excluding any scheduled days off.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/Prolonged-Unplanned-School-Closures-USA-2011-2019/5iuf-feyd'}"
Provider Relief Fund & Accelerated and Advance Payments,v2pi-w3up,v2pi-w3up_1736710336.916657_Provider_Relief_Fund___Accelerated_and_Advance_Payments_20250112.csv.gz,2025-01-12 19:32:16 UTC,https://data.cdc.gov/Administrative/Provider-Relief-Fund-Accelerated-and-Advance-Payme/v2pi-w3up,"We are releasing data that compares the HHS Provider Relief Fund and the CMS Accelerated and Advance Payments by State and provider as of May 15, 2020.  This data is already available on other websites, but this chart brings the information together into one view for comparison.  You can find additional information on the Accelerated and Advance Payments at the following links: 

Fact Sheet: https://www.cms.gov/files/document/Accelerated-and-Advanced-Payments-Fact-Sheet.pdf; 

Zip file on providers in each state: https://www.cms.gov/files/zip/accelerated-payment-provider-details-state.zip

Medicare Accelerated and Advance Payments State-by-State information and by Provider Type: https://www.cms.gov/files/document/covid-accelerated-and-advance-payments-state.pdf.

This file was assembled by HHS via CMS, HRSA and reviewed by leadership and compares the HHS Provider Relief Fund and the CMS Accelerated and Advance Payments by State and provider as of December 4, 2020.  

HHS Provider Relief Fund 
President Trump is providing support to healthcare providers fighting the coronavirus disease 2019 (COVID-19) pandemic through the bipartisan Coronavirus Aid, Relief, & Economic Security Act and the Paycheck Protection Program and Health Care Enhancement Act, which provide a total of $175 billion for relief funds to hospitals and other healthcare providers on the front lines of the COVID-19 response. This funding supports healthcare-related expenses or lost revenue attributable to COVID-19 and ensures uninsured Americans can get treatment for COVID-19. HHS is distributing this Provider Relief Fund money and these payments do not need to be repaid.
The Department allocated $50 billion of the Provider Relief Fund for general distribution to Medicare facilities and providers impacted by COVID-19, based on eligible providers' net reimbursement. It allocated another $22 billion to providers in areas particularly impacted by the COVID-19 outbreak, rural providers, and providers who serve low-income populations and uninsured Americans.  HHS will be allocating the remaining funds in the near future.
  
As part of the Provider Relief Fund distribution, all providers have 45 days to attest that they meet certain criteria to keep the funding they received, including public disclosure.  As of May 15, 2020, there has been a total of $34 billion in attested payments.  The chart only includes those providers that have attested to the payments by that date.  We will continue to update this information and add the additional providers and payments once their attestation is complete. 

CMS Accelerated and Advance Payments Program
On March 28, 2020, to increase cash flow to providers of services and suppliers impacted by the coronavirus disease 2019 (COVID-19) pandemic, the Centers for Medicare & Medicaid Services (CMS) expanded the Accelerated and Advance Payment Program to a broader group of Medicare Part A providers and Part B suppliers. Beginning on April 26, 2020, CMS stopped accepting new applications for the Advance Payment Program, and CMS began reevaluating all pending and new applications for Accelerated Payments in light of the availability of direct payments made through HHS’s Provider Relief Fund.

Since expanding the AAP program on March 28, 2020, CMS approved over 21,000 applications totaling $59.6 billion in payments to Part A providers, which includes hospitals, through May 18, 2020. For Part B suppliers—including doctors, non-physician practitioners and durable medical equipment suppliers— during the same time period, CMS approved almost 24,000 applications advancing $40.4 billion in payments. The AAP program is not a grant, and providers and suppliers are required to repay the loan.

CMS has published AAP data, as required by the Continuing Appropriations and Other Extensions Act of 2021, on this website: https://www.cms.gov/files/document/covid-medicare-accelerated-and-advance-payments-program-covid-19-public-health-emergency-payment.pdf",,"{'name': 'Provider Relief Fund & Accelerated and Advance Payments', 'id': 'v2pi-w3up', 'description': ""We are releasing data that compares the HHS Provider Relief Fund and the CMS Accelerated and Advance Payments by State and provider as of May 15, 2020.  This data is already available on other websites, but this chart brings the information together into one view for comparison.  You can find additional information on the Accelerated and Advance Payments at the following links: \n\nFact Sheet: https://www.cms.gov/files/document/Accelerated-and-Advanced-Payments-Fact-Sheet.pdf; \n\nZip file on providers in each state: https://www.cms.gov/files/zip/accelerated-payment-provider-details-state.zip\n\nMedicare Accelerated and Advance Payments State-by-State information and by Provider Type: https://www.cms.gov/files/document/covid-accelerated-and-advance-payments-state.pdf.\n\nThis file was assembled by HHS via CMS, HRSA and reviewed by leadership and compares the HHS Provider Relief Fund and the CMS Accelerated and Advance Payments by State and provider as of December 4, 2020.  \n\nHHS Provider Relief Fund \nPresident Trump is providing support to healthcare providers fighting the coronavirus disease 2019 (COVID-19) pandemic through the bipartisan Coronavirus Aid, Relief, & Economic Security Act and the Paycheck Protection Program and Health Care Enhancement Act, which provide a total of $175 billion for relief funds to hospitals and other healthcare providers on the front lines of the COVID-19 response. This funding supports healthcare-related expenses or lost revenue attributable to COVID-19 and ensures uninsured Americans can get treatment for COVID-19. HHS is distributing this Provider Relief Fund money and these payments do not need to be repaid.\nThe Department allocated $50 billion of the Provider Relief Fund for general distribution to Medicare facilities and providers impacted by COVID-19, based on eligible providers' net reimbursement. It allocated another $22 billion to providers in areas particularly impacted by the COVID-19 outbreak, rural providers, and providers who serve low-income populations and uninsured Americans.  HHS will be allocating the remaining funds in the near future.\n  \nAs part of the Provider Relief Fund distribution, all providers have 45 days to attest that they meet certain criteria to keep the funding they received, including public disclosure.  As of May 15, 2020, there has been a total of $34 billion in attested payments.  The chart only includes those providers that have attested to the payments by that date.  We will continue to update this information and add the additional providers and payments once their attestation is complete. \n\nCMS Accelerated and Advance Payments Program\nOn March 28, 2020, to increase cash flow to providers of services and suppliers impacted by the coronavirus disease 2019 (COVID-19) pandemic, the Centers for Medicare & Medicaid Services (CMS) expanded the Accelerated and Advance Payment Program to a broader group of Medicare Part A providers and Part B suppliers. Beginning on April 26, 2020, CMS stopped accepting new applications for the Advance Payment Program, and CMS began reevaluating all pending and new applications for Accelerated Payments in light of the availability of direct payments made through HHS’s Provider Relief Fund.\n\nSince expanding the AAP program on March 28, 2020, CMS approved over 21,000 applications totaling $59.6 billion in payments to Part A providers, which includes hospitals, through May 18, 2020. For Part B suppliers—including doctors, non-physician practitioners and durable medical equipment suppliers— during the same time period, CMS approved almost 24,000 applications advancing $40.4 billion in payments. The AAP program is not a grant, and providers and suppliers are required to repay the loan.\n\nCMS has published AAP data, as required by the Continuing Appropriations and Other Extensions Act of 2021, on this website: https://www.cms.gov/files/document/covid-medicare-accelerated-and-advance-payments-program-covid-19-public-health-emergency-payment.pdf"", 'datatype': 'tabular', 'keywords': ['economy', 'health', 'public safety', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Administrative/Provider-Relief-Fund-Accelerated-and-Advance-Payme/v2pi-w3up'}"
Provider Relief Fund COVID-19 High-Impact Payments,b58h-s9zx,b58h-s9zx_1736708055.109642_Provider_Relief_Fund_COVID-19_High-Impact_Payments_20250112.csv.gz,2025-01-12 18:54:15 UTC,https://data.cdc.gov/Administrative/Provider-Relief-Fund-COVID-19-High-Impact-Payments/b58h-s9zx,"The bipartisan CARES Act; the Paycheck Protection Program and Health Care Enhancement Act (PPPHCEA); and the Coronavirus Response and Relief Supplemental Appropriations (CRRSA) Act provided $178 billion in relief funds to hospitals and other healthcare providers on the front lines of the coronavirus response. The Department of Health and Human Services through the Health Resources and Services Administration is distributing two rounds of payments to hospitals in High Impact areas for positive COVID-19 admissions. In the first round of the High Impact Allocation, $12 billion was distributed to nearly 400 hospitals who provided inpatient care for 100 or more COVID-19 patients through April 10, 2020. $2 billion of these payments was distributed to these hospitals based on their Medicare disproportionate share and uncompensated care payments. In the second round of funding, $10 billion will be distributed to hospitals having over 161 COVID-19 admissions between January 1 and June 10, 2020.",,"{'name': 'Provider Relief Fund COVID-19 High-Impact Payments', 'id': 'b58h-s9zx', 'description': 'The bipartisan CARES Act; the Paycheck Protection Program and Health Care Enhancement Act (PPPHCEA); and the Coronavirus Response and Relief Supplemental Appropriations (CRRSA) Act provided $178 billion in relief funds to hospitals and other healthcare providers on the front lines of the coronavirus response. The Department of Health and Human Services through the Health Resources and Services Administration is distributing two rounds of payments to hospitals in High Impact areas for positive COVID-19 admissions. In the first round of the High Impact Allocation, $12 billion was distributed to nearly 400 hospitals who provided inpatient care for 100 or more COVID-19 patients through April 10, 2020. $2 billion of these payments was distributed to these hospitals based on their Medicare disproportionate share and uncompensated care payments. In the second round of funding, $10 billion will be distributed to hospitals having over 161 COVID-19 admissions between January 1 and June 10, 2020.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Administrative/Provider-Relief-Fund-COVID-19-High-Impact-Payments/b58h-s9zx'}"
Provider Relief Fund COVID-19 Nursing Home Quality Incentive Program,bfqg-cb6d,bfqg-cb6d_1736709100.561780_Provider_Relief_Fund_COVID-19_Nursing_Home_Quality_Incentive_Program_20250112.csv.gz,2025-01-12 19:11:40 UTC,https://data.cdc.gov/Administrative/Provider-Relief-Fund-COVID-19-Nursing-Home-Quality/bfqg-cb6d,The bipartisan CARES Act; and the Paycheck Protection Program and Health Care Enhancement Act (PPPHCEA); and the Coronavirus Response and Relief Supplemental Appropriations (CRRSA) Act provided $178 billion in relief funds to hospitals and other healthcare providers on the front lines of the coronavirus response. The Department of Health and Human Services through the Health Resources and Services Administration is allocating $2 billion in incentive payments to nursing home facilities that reduce both COVID-19 infection rates relative to their county and mortality rates against a national benchmark.,"<https://data.cdc.gov/Administrative/Provider-Relief-Fund-COVID-19-Nursing-Home-Quality/bfqg-cb6d>; rel=""original"",
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<http://web.archive.org/web/20201230001335/https://data.cdc.gov/Administrative/Provider-Relief-Fund-COVID-19-Nursing-Home-Quality/bfqg-cb6d>; rel=""memento""; datetime=""Wed, 30 Dec 2020 00:13:35 GMT"",
<http://web.archive.org/web/20210101162402/https://data.cdc.gov/Administrative/Provider-Relief-Fund-COVID-19-Nursing-Home-Quality/bfqg-cb6d%2523content>; rel=""memento""; datetime=""Fri, 01 Jan 2021 16:24:02 GMT"",
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<http://web.archive.org/web/20210118050850/https://data.cdc.gov/Administrative/Provider-Relief-Fund-COVID-19-Nursing-Home-Quality/bfqg-cb6d>; rel=""memento""; datetime=""Mon, 18 Jan 2021 05:08:50 GMT"",
<http://web.archive.org/web/20210120034907/https://data.cdc.gov/Administrative/Provider-Relief-Fund-COVID-19-Nursing-Home-Quality/bfqg-cb6d>; rel=""memento""; datetime=""Wed, 20 Jan 2021 03:49:07 GMT"",
<http://web.archive.org/web/20210123205457/https://data.cdc.gov/Administrative/Provider-Relief-Fund-COVID-19-Nursing-Home-Quality/bfqg-cb6d>; rel=""memento""; datetime=""Sat, 23 Jan 2021 20:54:57 GMT"",
<http://web.archive.org/web/20210318022224/https://data.cdc.gov/Administrative/Provider-Relief-Fund-COVID-19-Nursing-Home-Quality/bfqg-cb6d>; rel=""memento""; datetime=""Thu, 18 Mar 2021 02:22:24 GMT"",
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<http://web.archive.org/web/20210505133902/https://data.cdc.gov/Administrative/Provider-Relief-Fund-COVID-19-Nursing-Home-Quality/bfqg-cb6d>; rel=""memento""; datetime=""Wed, 05 May 2021 13:39:02 GMT"",
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<http://web.archive.org/web/20210721200621/https://data.cdc.gov/Administrative/Provider-Relief-Fund-COVID-19-Nursing-Home-Quality/bfqg-cb6d>; rel=""memento""; datetime=""Wed, 21 Jul 2021 20:06:21 GMT"",
<http://web.archive.org/web/20210725121003/https://data.cdc.gov/Administrative/Provider-Relief-Fund-COVID-19-Nursing-Home-Quality/bfqg-cb6d>; rel=""memento""; datetime=""Sun, 25 Jul 2021 12:10:03 GMT"",
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<http://web.archive.org/web/20250123110640/https://data.cdc.gov/Administrative/Provider-Relief-Fund-COVID-19-Nursing-Home-Quality/bfqg-cb6d>; rel=""memento""; datetime=""Thu, 23 Jan 2025 11:06:40 GMT"",
<http://web.archive.org/web/20250131100644/https://data.cdc.gov/Administrative/Provider-Relief-Fund-COVID-19-Nursing-Home-Quality/bfqg-cb6d>; rel=""memento""; datetime=""Fri, 31 Jan 2025 10:06:44 GMT"",
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<http://web.archive.org/web/20250209194307/https://data.cdc.gov/Administrative/Provider-Relief-Fund-COVID-19-Nursing-Home-Quality/bfqg-cb6d>; rel=""memento""; datetime=""Sun, 09 Feb 2025 19:43:07 GMT"",
<http://web.archive.org/web/20250209194312/https://data.cdc.gov/Administrative/Provider-Relief-Fund-COVID-19-Nursing-Home-Quality/bfqg-cb6d/>; rel=""memento""; datetime=""Sun, 09 Feb 2025 19:43:12 GMT"",
<http://web.archive.org/web/20250209194333/https://data.cdc.gov/Administrative/Provider-Relief-Fund-COVID-19-Nursing-Home-Quality/bfqg-cb6d>; rel=""memento""; datetime=""Sun, 09 Feb 2025 19:43:33 GMT""
","{'name': 'Provider Relief Fund COVID-19 Nursing Home Quality Incentive Program', 'id': 'bfqg-cb6d', 'description': 'The bipartisan CARES Act; and the Paycheck Protection Program and Health Care Enhancement Act (PPPHCEA); and the Coronavirus Response and Relief Supplemental Appropriations (CRRSA) Act provided $178 billion in relief funds to hospitals and other healthcare providers on the front lines of the coronavirus response. The Department of Health and Human Services through the Health Resources and Services Administration is allocating $2 billion in incentive payments to nursing home facilities that reduce both COVID-19 infection rates relative to their county and mortality rates against a national benchmark.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Administrative/Provider-Relief-Fund-COVID-19-Nursing-Home-Quality/bfqg-cb6d'}"
"Provisional COVID-19 Death Counts by Age in Years, 2020-2023",3apk-4u4f,3apk-4u4f_1736708082.402871_Provisional_COVID-19_Death_Counts_by_Age_in_Years__2020-2023_20250112.csv.gz,2025-01-12 18:54:42 UTC,https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Age-in-Years-/3apk-4u4f,"Effective June 28, 2023, this dataset will no longer be updated. Similar data are accessible from CDC WONDER (https://wonder.cdc.gov/mcd-icd10-provisional.html).

Cumulative deaths involving COVID-19 reported to NCHS by sex and age in years, in the United States.",,"{'name': 'Provisional COVID-19 Death Counts by Age in Years, 2020-2023', 'id': '3apk-4u4f', 'description': 'Effective June 28, 2023, this dataset will no longer be updated. Similar data are accessible from CDC WONDER (https://wonder.cdc.gov/mcd-icd10-provisional.html).\n\nCumulative deaths involving COVID-19 reported to NCHS by sex and age in years, in the United States.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Age-in-Years-/3apk-4u4f'}"
Provisional COVID-19 Death Counts by Week Ending Date and State,r8kw-7aab,r8kw-7aab_1736707175.982504_Provisional_COVID-19_Death_Counts_by_Week_Ending_Date_and_State_20250112.csv.gz,2025-01-12 18:39:35 UTC,https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab,"Effective September 27, 2023, this dataset will be updated weekly on Thursdays.

Deaths involving COVID-19, pneumonia, and influenza reported to NCHS by week ending date and by state","<https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab>; rel=""original"",
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<http://web.archive.org/web/20200502120803/https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab>; rel=""first memento""; datetime=""Sat, 02 May 2020 12:08:03 GMT"",
<http://web.archive.org/web/20200505034445/https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab>; rel=""memento""; datetime=""Tue, 05 May 2020 03:44:45 GMT"",
<http://web.archive.org/web/20200509000419/https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab>; rel=""memento""; datetime=""Sat, 09 May 2020 00:04:19 GMT"",
<http://web.archive.org/web/20200510005750/https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab>; rel=""memento""; datetime=""Sun, 10 May 2020 00:57:50 GMT"",
<http://web.archive.org/web/20200520100419/https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab>; rel=""memento""; datetime=""Wed, 20 May 2020 10:04:19 GMT"",
<http://web.archive.org/web/20200521164814/https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab>; rel=""memento""; datetime=""Thu, 21 May 2020 16:48:14 GMT"",
<http://web.archive.org/web/20200528102835/https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab>; rel=""memento""; datetime=""Thu, 28 May 2020 10:28:35 GMT"",
<http://web.archive.org/web/20200605011908/https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab>; rel=""memento""; datetime=""Fri, 05 Jun 2020 01:19:08 GMT"",
<http://web.archive.org/web/20200609113037/https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab>; rel=""memento""; datetime=""Tue, 09 Jun 2020 11:30:37 GMT"",
<http://web.archive.org/web/20200630204843/https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab>; rel=""memento""; datetime=""Tue, 30 Jun 2020 20:48:43 GMT"",
<http://web.archive.org/web/20200703092054/https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab>; rel=""memento""; datetime=""Fri, 03 Jul 2020 09:20:54 GMT"",
<http://web.archive.org/web/20200714005658/https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab>; rel=""memento""; datetime=""Tue, 14 Jul 2020 00:56:58 GMT"",
<http://web.archive.org/web/20200714005702/https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab>; rel=""memento""; datetime=""Tue, 14 Jul 2020 00:57:02 GMT"",
<http://web.archive.org/web/20200714031854/https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab>; rel=""memento""; datetime=""Tue, 14 Jul 2020 03:18:54 GMT"",
<http://web.archive.org/web/20200714031858/https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab>; rel=""memento""; datetime=""Tue, 14 Jul 2020 03:18:58 GMT"",
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<http://web.archive.org/web/20200714031904/https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab>; rel=""memento""; datetime=""Tue, 14 Jul 2020 03:19:04 GMT"",
<http://web.archive.org/web/20200715023124/https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab>; rel=""memento""; datetime=""Wed, 15 Jul 2020 02:31:24 GMT"",
<http://web.archive.org/web/20200715064354/https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab>; rel=""memento""; datetime=""Wed, 15 Jul 2020 06:43:54 GMT"",
<http://web.archive.org/web/20200715082542/https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab>; rel=""memento""; datetime=""Wed, 15 Jul 2020 08:25:42 GMT"",
<http://web.archive.org/web/20200715140205/https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab>; rel=""memento""; datetime=""Wed, 15 Jul 2020 14:02:05 GMT"",
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<http://web.archive.org/web/20200715233014/https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab>; rel=""memento""; datetime=""Wed, 15 Jul 2020 23:30:14 GMT"",
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<http://web.archive.org/web/20200715233018/https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab>; rel=""memento""; datetime=""Wed, 15 Jul 2020 23:30:18 GMT"",
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<http://web.archive.org/web/20200716021334/https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab>; rel=""memento""; datetime=""Thu, 16 Jul 2020 02:13:34 GMT"",
<http://web.archive.org/web/20200724145124/https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab>; rel=""memento""; datetime=""Fri, 24 Jul 2020 14:51:24 GMT"",
<http://web.archive.org/web/20200725031717/https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab>; rel=""memento""; datetime=""Sat, 25 Jul 2020 03:17:17 GMT"",
<http://web.archive.org/web/20200805175645/https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab>; rel=""memento""; datetime=""Wed, 05 Aug 2020 17:56:45 GMT"",
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<http://web.archive.org/web/20200924222010/https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab>; rel=""memento""; datetime=""Thu, 24 Sep 2020 22:20:10 GMT"",
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<http://web.archive.org/web/20201030014353/https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab>; rel=""memento""; datetime=""Fri, 30 Oct 2020 01:43:53 GMT"",
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<http://web.archive.org/web/20201101013144/https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab>; rel=""memento""; datetime=""Sun, 01 Nov 2020 01:31:44 GMT"",
<http://web.archive.org/web/20201111061240/https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab>; rel=""memento""; datetime=""Wed, 11 Nov 2020 06:12:40 GMT"",
<http://web.archive.org/web/20201114224741/https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab>; rel=""memento""; datetime=""Sat, 14 Nov 2020 22:47:41 GMT"",
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<http://web.archive.org/web/20201116185640/https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab>; rel=""memento""; datetime=""Mon, 16 Nov 2020 18:56:40 GMT"",
<http://web.archive.org/web/20201127233215/https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab>; rel=""memento""; datetime=""Fri, 27 Nov 2020 23:32:15 GMT"",
<http://web.archive.org/web/20201203082326/https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab>; rel=""memento""; datetime=""Thu, 03 Dec 2020 08:23:26 GMT"",
<http://web.archive.org/web/20201203083057/https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab>; rel=""memento""; datetime=""Thu, 03 Dec 2020 08:30:57 GMT"",
<http://web.archive.org/web/20201206222235/https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab>; rel=""memento""; datetime=""Sun, 06 Dec 2020 22:22:35 GMT"",
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<http://web.archive.org/web/20241203020324/https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab>; rel=""memento""; datetime=""Tue, 03 Dec 2024 02:03:24 GMT"",
<http://web.archive.org/web/20241210091336/https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab>; rel=""memento""; datetime=""Tue, 10 Dec 2024 09:13:36 GMT"",
<http://web.archive.org/web/20241211071128/https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab>; rel=""memento""; datetime=""Wed, 11 Dec 2024 07:11:28 GMT"",
<http://web.archive.org/web/20250108181318/https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab>; rel=""memento""; datetime=""Wed, 08 Jan 2025 18:13:18 GMT"",
<http://web.archive.org/web/20250119111341/https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab>; rel=""memento""; datetime=""Sun, 19 Jan 2025 11:13:41 GMT"",
<http://web.archive.org/web/20250131181831/https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab>; rel=""memento""; datetime=""Fri, 31 Jan 2025 18:18:31 GMT"",
<http://web.archive.org/web/20250131193708/https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab>; rel=""memento""; datetime=""Fri, 31 Jan 2025 19:37:08 GMT"",
<http://web.archive.org/web/20250131205226/https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab>; rel=""memento""; datetime=""Fri, 31 Jan 2025 20:52:26 GMT"",
<http://web.archive.org/web/20250201015936/https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab>; rel=""memento""; datetime=""Sat, 01 Feb 2025 01:59:36 GMT"",
<http://web.archive.org/web/20250201202818/https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab>; rel=""memento""; datetime=""Sat, 01 Feb 2025 20:28:18 GMT"",
<http://web.archive.org/web/20250201205054/https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab>; rel=""memento""; datetime=""Sat, 01 Feb 2025 20:50:54 GMT"",
<http://web.archive.org/web/20250202030055/https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab>; rel=""memento""; datetime=""Sun, 02 Feb 2025 03:00:55 GMT"",
<http://web.archive.org/web/20250202084429/https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab>; rel=""memento""; datetime=""Sun, 02 Feb 2025 08:44:29 GMT"",
<http://web.archive.org/web/20250202202157/https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab>; rel=""memento""; datetime=""Sun, 02 Feb 2025 20:21:57 GMT"",
<http://web.archive.org/web/20250202203144/https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab>; rel=""memento""; datetime=""Sun, 02 Feb 2025 20:31:44 GMT"",
<http://web.archive.org/web/20250206190813/https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab/>; rel=""memento""; datetime=""Thu, 06 Feb 2025 19:08:13 GMT"",
<http://web.archive.org/web/20250206190823/https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab>; rel=""memento""; datetime=""Thu, 06 Feb 2025 19:08:23 GMT"",
<http://web.archive.org/web/20250206190828/https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab>; rel=""memento""; datetime=""Thu, 06 Feb 2025 19:08:28 GMT"",
<http://web.archive.org/web/20250211092940/https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab>; rel=""memento""; datetime=""Tue, 11 Feb 2025 09:29:40 GMT""
","{'name': 'Provisional COVID-19 Death Counts by Week Ending Date and State', 'id': 'r8kw-7aab', 'description': 'Effective September 27, 2023, this dataset will be updated weekly on Thursdays.\n\nDeaths involving COVID-19, pneumonia, and influenza reported to NCHS by week ending date and by state', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab'}"
Provisional COVID-19 Death Counts in the United States by County,kn79-hsxy,kn79-hsxy_1736707944.020304_Provisional_COVID-19_Death_Counts_in_the_United_States_by_County_20250112.csv.gz,2025-01-12 18:52:24 UTC,https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-in-the-United-St/kn79-hsxy,"Effective June 28, 2023, this dataset will no longer be updated. Similar data are accessible from  CDC WONDER (https://wonder.cdc.gov/mcd-icd10-provisional.html)

Provisional count of deaths involving COVID-19 by county of occurrence, in the United States, 2020-2023.",,"{'name': 'Provisional COVID-19 Death Counts in the United States by County', 'id': 'kn79-hsxy', 'description': 'Effective June 28, 2023, this dataset will no longer be updated. Similar data are accessible from  CDC WONDER (https://wonder.cdc.gov/mcd-icd10-provisional.html)\n\nProvisional count of deaths involving COVID-19 by county of occurrence, in the United States, 2020-2023.', 'datatype': 'tabular', 'keywords': ['demographics', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-in-the-United-St/kn79-hsxy'}"
"Provisional COVID-19 Deaths by County, and Race and Hispanic Origin",k8wy-p9cg,k8wy-p9cg_1736709114.396182_Provisional_COVID-19_Deaths_by_County__and_Race_and_Hispanic_Origin_20250112.csv.gz,2025-01-12 19:11:54 UTC,https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-County-and-Race-and/k8wy-p9cg,"Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.

County data on race and Hispanic origin is available for counties with more than 100 COVID-19 deaths. Deaths are cumulative from the week ending January 4, 2020 to the most recent reporting week, and based on county of occurrence. Data is provisional. 

Urban-rural classification is based on the 2013 National Center for Health Statistics Urban-Rural Classification Scheme for Counties (https://www.cdc.gov/nchs/data_access/urban_rural.htm).",,"{'name': 'Provisional COVID-19 Deaths by County, and Race and Hispanic Origin', 'id': 'k8wy-p9cg', 'description': 'Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.\n\nCounty data on race and Hispanic origin is available for counties with more than 100 COVID-19 deaths.\xa0Deaths are cumulative from the week ending January 4, 2020 to the most recent reporting week, and based on county of occurrence. Data is provisional. \n\nUrban-rural classification is based on the 2013 National Center for Health Statistics Urban-Rural Classification Scheme for Counties (https://www.cdc.gov/nchs/data_access/urban_rural.htm).', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-County-and-Race-and/k8wy-p9cg'}"
"Provisional COVID-19 Deaths by HHS Region, Race, and Age",tpcp-uiv5,tpcp-uiv5_1736711093.788608_Provisional_COVID-19_Deaths_by_HHS_Region__Race__and_Age_20250112.csv.gz,2025-01-12 19:44:53 UTC,https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-HHS-Region-Race-and/tpcp-uiv5,"Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.

Deaths involving COVID-19 reported to NCHS by time-period, HHS region, race and Hispanic origin, and age group.

United States death counts include the 50 states, plus the District of Columbia and New York City. The ten (10) United States Department of Health and Human Services (HHS) regions include the following jurisdictions. Region 1: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont; Region 2: New Jersey, New York, New York City, Puerto Rico; Region 3: Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, West Virginia; Region 4: Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee; Region 5: Illinois, Indiana, Michigan, Minnesota, Ohio, Wisconsin; Region 6: Arkansas, Louisiana, New Mexico, Oklahoma, Texas; Region 7: Iowa, Kansas, Missouri, Nebraska; Region 8: Colorado, Montana, North Dakota, South Dakota, Utah, Wyoming; Region 9: Arizona, California, Hawaii, Nevada; Region 10: Alaska, Idaho, Oregon, Washington.",,"{'name': 'Provisional COVID-19 Deaths by HHS Region, Race, and Age', 'id': 'tpcp-uiv5', 'description': 'Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.\n\nDeaths involving COVID-19 reported to NCHS by time-period, HHS region, race and Hispanic origin, and age group.\n\nUnited States death counts include the 50 states, plus the District of Columbia and New York City. The ten (10) United States Department of Health and Human Services (HHS) regions include the following jurisdictions. Region 1: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont; Region 2: New Jersey, New York, New York City, Puerto Rico; Region 3: Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, West Virginia; Region 4: Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee; Region 5: Illinois, Indiana, Michigan, Minnesota, Ohio, Wisconsin; Region 6: Arkansas, Louisiana, New Mexico, Oklahoma, Texas; Region 7: Iowa, Kansas, Missouri, Nebraska; Region 8: Colorado, Montana, North Dakota, South Dakota, Utah, Wyoming; Region 9: Arizona, California, Hawaii, Nevada; Region 10: Alaska, Idaho, Oregon, Washington.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-HHS-Region-Race-and/tpcp-uiv5'}"
Provisional COVID-19 Deaths by Place of Death and Age,4va6-ph5s,4va6-ph5s_1736710377.698342_Provisional_COVID-19_Deaths_by_Place_of_Death_and_Age_20250112.csv.gz,2025-01-12 19:32:57 UTC,https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Place-of-Death-and-/4va6-ph5s,"Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.

Deaths involving COVID-19, influenza, and pneumonia reported to NCHS by jurisdiction of occurrence, place of death, and age group.",,"{'name': 'Provisional COVID-19 Deaths by Place of Death and Age', 'id': '4va6-ph5s', 'description': 'Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.\n\nDeaths involving COVID-19, influenza, and pneumonia reported to NCHS by jurisdiction of occurrence, place of death, and age group.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Place-of-Death-and-/4va6-ph5s'}"
Provisional COVID-19 Deaths by Place of Death and State,uggs-hy5q,uggs-hy5q_1736708187.906527_Provisional_COVID-19_Deaths_by_Place_of_Death_and_State_20250112.csv.gz,2025-01-12 18:56:27 UTC,https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Place-of-Death-and-/uggs-hy5q,"Effective June 28, 2023, this dataset will no longer be updated. Data deaths by place of death are available in this dataset https://data.cdc.gov/NCHS/d/4va6-ph5s.

Deaths involving  COVID-19, pneumonia and influenza reported to NCHS by place of death and state, United States.",,"{'name': 'Provisional COVID-19 Deaths by Place of Death and State', 'id': 'uggs-hy5q', 'description': 'Effective June 28, 2023, this dataset will no longer be updated. Data deaths by place of death are available in this dataset https://data.cdc.gov/NCHS/d/4va6-ph5s.\n\nDeaths involving  COVID-19, pneumonia and influenza reported to NCHS by place of death and state, United States.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Place-of-Death-and-/uggs-hy5q'}"
"Provisional COVID-19 Deaths by Race and Hispanic Origin, and Age",ks3g-spdg,ks3g-spdg_1736708247.559705_Provisional_COVID-19_Deaths_by_Race_and_Hispanic_Origin__and_Age_20250112.csv.gz,2025-01-12 18:57:27 UTC,https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Race-and-Hispanic-O/ks3g-spdg,"Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.

Deaths involving COVID-19, pneumonia, and influenza reported to NCHS by race, age, and jurisdiction of occurrence.",,"{'name': 'Provisional COVID-19 Deaths by Race and Hispanic Origin, and Age', 'id': 'ks3g-spdg', 'description': 'Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.\n\nDeaths involving COVID-19, pneumonia, and influenza reported to NCHS by race, age, and jurisdiction of occurrence.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Race-and-Hispanic-O/ks3g-spdg'}"
Provisional COVID-19 Deaths by Sex and Age,9bhg-hcku,9bhg-hcku_1736706724.993575_Provisional_COVID-19_Deaths_by_Sex_and_Age_20250112.csv.gz,2025-01-12 18:32:04 UTC,https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Sex-and-Age/9bhg-hcku,"Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.

Deaths involving COVID-19, pneumonia, and influenza reported to NCHS by sex, age group, and jurisdiction of occurrence.","<https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Sex-and-Age/9bhg-hcku>; rel=""original"",
<http://web.archive.org/web/timemap/link/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Sex-and-Age/9bhg-hcku>; rel=""self""; type=""application/link-format""; from=""Tue, 25 May 2021 10:53:55 GMT"",
<http://web.archive.org/web/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Sex-and-Age/9bhg-hcku>; rel=""timegate"",
<http://web.archive.org/web/20210525105355/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Sex-and-Age/9bhg-hcku>; rel=""first memento""; datetime=""Tue, 25 May 2021 10:53:55 GMT"",
<http://web.archive.org/web/20210527102830/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Sex-and-Age/9bhg-hcku>; rel=""memento""; datetime=""Thu, 27 May 2021 10:28:30 GMT"",
<http://web.archive.org/web/20210531081420/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Sex-and-Age/9bhg-hcku>; rel=""memento""; datetime=""Mon, 31 May 2021 08:14:20 GMT"",
<http://web.archive.org/web/20210531193201/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Sex-and-Age/9bhg-hcku>; rel=""memento""; datetime=""Mon, 31 May 2021 19:32:01 GMT"",
<http://web.archive.org/web/20210601130743/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Sex-and-Age/9bhg-hcku>; rel=""memento""; datetime=""Tue, 01 Jun 2021 13:07:43 GMT"",
<http://web.archive.org/web/20210602125312/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Sex-and-Age/9bhg-hcku>; rel=""memento""; datetime=""Wed, 02 Jun 2021 12:53:12 GMT"",
<http://web.archive.org/web/20210602181742/http://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Sex-and-Age/9bhg-hcku>; rel=""memento""; datetime=""Wed, 02 Jun 2021 18:17:42 GMT"",
<http://web.archive.org/web/20210602181742/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Sex-and-Age/9bhg-hcku>; rel=""memento""; datetime=""Wed, 02 Jun 2021 18:17:42 GMT"",
<http://web.archive.org/web/20210603050415/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Sex-and-Age/9bhg-hcku>; rel=""memento""; datetime=""Thu, 03 Jun 2021 05:04:15 GMT"",
<http://web.archive.org/web/20210603050416/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Sex-and-Age/9bhg-hcku>; rel=""memento""; datetime=""Thu, 03 Jun 2021 05:04:16 GMT"",
<http://web.archive.org/web/20210603050419/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Sex-and-Age/9bhg-hcku>; rel=""memento""; datetime=""Thu, 03 Jun 2021 05:04:19 GMT"",
<http://web.archive.org/web/20210603162627/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Sex-and-Age/9bhg-hcku>; rel=""memento""; datetime=""Thu, 03 Jun 2021 16:26:27 GMT"",
<http://web.archive.org/web/20210604001228/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Sex-and-Age/9bhg-hcku>; rel=""memento""; datetime=""Fri, 04 Jun 2021 00:12:28 GMT"",
<http://web.archive.org/web/20210605160026/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Sex-and-Age/9bhg-hcku>; rel=""memento""; datetime=""Sat, 05 Jun 2021 16:00:26 GMT"",
<http://web.archive.org/web/20210615040118/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Sex-and-Age/9bhg-hcku>; rel=""memento""; datetime=""Tue, 15 Jun 2021 04:01:18 GMT"",
<http://web.archive.org/web/20210615040118/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Sex-and-Age/9bhg-hcku>; rel=""memento""; datetime=""Tue, 15 Jun 2021 04:01:18 GMT"",
<http://web.archive.org/web/20210615083554/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Sex-and-Age/9bhg-hcku>; rel=""memento""; datetime=""Tue, 15 Jun 2021 08:35:54 GMT"",
<http://web.archive.org/web/20210618195101/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Sex-and-Age/9bhg-hcku>; rel=""memento""; datetime=""Fri, 18 Jun 2021 19:51:01 GMT"",
<http://web.archive.org/web/20210619142011/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Sex-and-Age/9bhg-hcku>; rel=""memento""; datetime=""Sat, 19 Jun 2021 14:20:11 GMT"",
<http://web.archive.org/web/20210619162502/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Sex-and-Age/9bhg-hcku>; rel=""memento""; datetime=""Sat, 19 Jun 2021 16:25:02 GMT"",
<http://web.archive.org/web/20210621203148/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Sex-and-Age/9bhg-hcku>; rel=""memento""; datetime=""Mon, 21 Jun 2021 20:31:48 GMT"",
<http://web.archive.org/web/20210621203148/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Sex-and-Age/9bhg-hcku>; rel=""memento""; datetime=""Mon, 21 Jun 2021 20:31:48 GMT"",
<http://web.archive.org/web/20210622115132/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Sex-and-Age/9bhg-hcku>; rel=""memento""; datetime=""Tue, 22 Jun 2021 11:51:32 GMT"",
<http://web.archive.org/web/20210622160917/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Sex-and-Age/9bhg-hcku>; rel=""memento""; datetime=""Tue, 22 Jun 2021 16:09:17 GMT"",
<http://web.archive.org/web/20210623110900/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Sex-and-Age/9bhg-hcku>; rel=""memento""; datetime=""Wed, 23 Jun 2021 11:09:00 GMT"",
<http://web.archive.org/web/20210623173555/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Sex-and-Age/9bhg-hcku>; rel=""memento""; datetime=""Wed, 23 Jun 2021 17:35:55 GMT"",
<http://web.archive.org/web/20210623203510/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Sex-and-Age/9bhg-hcku>; rel=""memento""; datetime=""Wed, 23 Jun 2021 20:35:10 GMT"",
<http://web.archive.org/web/20210624043844/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Sex-and-Age/9bhg-hcku>; rel=""memento""; datetime=""Thu, 24 Jun 2021 04:38:44 GMT"",
<http://web.archive.org/web/20210625155723/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Sex-and-Age/9bhg-hcku>; rel=""memento""; datetime=""Fri, 25 Jun 2021 15:57:23 GMT"",
<http://web.archive.org/web/20210630071345/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Sex-and-Age/9bhg-hcku>; rel=""memento""; datetime=""Wed, 30 Jun 2021 07:13:45 GMT"",
<http://web.archive.org/web/20210630225309/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Sex-and-Age/9bhg-hcku>; rel=""memento""; datetime=""Wed, 30 Jun 2021 22:53:09 GMT"",
<http://web.archive.org/web/20210701152936/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Sex-and-Age/9bhg-hcku>; rel=""memento""; datetime=""Thu, 01 Jul 2021 15:29:36 GMT"",
<http://web.archive.org/web/20210705130611/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Sex-and-Age/9bhg-hcku>; rel=""memento""; datetime=""Mon, 05 Jul 2021 13:06:11 GMT"",
<http://web.archive.org/web/20210706031400/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Sex-and-Age/9bhg-hcku>; rel=""memento""; datetime=""Tue, 06 Jul 2021 03:14:00 GMT"",
<http://web.archive.org/web/20210706055358/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Sex-and-Age/9bhg-hcku>; rel=""memento""; datetime=""Tue, 06 Jul 2021 05:53:58 GMT"",
<http://web.archive.org/web/20210706143636/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Sex-and-Age/9bhg-hcku>; rel=""memento""; datetime=""Tue, 06 Jul 2021 14:36:36 GMT"",
<http://web.archive.org/web/20210706202348/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Sex-and-Age/9bhg-hcku>; rel=""memento""; datetime=""Tue, 06 Jul 2021 20:23:48 GMT"",
<http://web.archive.org/web/20210712105330/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Sex-and-Age/9bhg-hcku>; rel=""memento""; datetime=""Mon, 12 Jul 2021 10:53:30 GMT"",
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<http://web.archive.org/web/20211113180542/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Sex-and-Age/9bhg-hcku>; rel=""memento""; datetime=""Sat, 13 Nov 2021 18:05:42 GMT"",
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<http://web.archive.org/web/20250206160133/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Sex-and-Age/9bhg-hcku>; rel=""memento""; datetime=""Thu, 06 Feb 2025 16:01:33 GMT"",
<http://web.archive.org/web/20250207072801/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Sex-and-Age/9bhg-hcku>; rel=""memento""; datetime=""Fri, 07 Feb 2025 07:28:01 GMT"",
<http://web.archive.org/web/20250207102827/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Sex-and-Age/9bhg-hcku>; rel=""memento""; datetime=""Fri, 07 Feb 2025 10:28:27 GMT"",
<http://web.archive.org/web/20250208091409/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Sex-and-Age/9bhg-hcku>; rel=""memento""; datetime=""Sat, 08 Feb 2025 09:14:09 GMT"",
<http://web.archive.org/web/20250208092018/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Sex-and-Age/9bhg-hcku>; rel=""memento""; datetime=""Sat, 08 Feb 2025 09:20:18 GMT"",
<http://web.archive.org/web/20250209025820/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Sex-and-Age/9bhg-hcku/>; rel=""memento""; datetime=""Sun, 09 Feb 2025 02:58:20 GMT"",
<http://web.archive.org/web/20250209025826/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Sex-and-Age/9bhg-hcku>; rel=""memento""; datetime=""Sun, 09 Feb 2025 02:58:26 GMT"",
<http://web.archive.org/web/20250209025831/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Sex-and-Age/9bhg-hcku>; rel=""memento""; datetime=""Sun, 09 Feb 2025 02:58:31 GMT"",
<http://web.archive.org/web/20250212172950/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Sex-and-Age/9bhg-hcku>; rel=""memento""; datetime=""Wed, 12 Feb 2025 17:29:50 GMT""
","{'name': 'Provisional COVID-19 Deaths by Sex and Age', 'id': '9bhg-hcku', 'description': 'Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.\n\nDeaths involving COVID-19, pneumonia, and influenza reported to NCHS by sex, age group, and jurisdiction of occurrence.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Sex-and-Age/9bhg-hcku'}"
Provisional COVID-19 Deaths by Week and County Social Vulnerability Index,9hdi-ekmb,9hdi-ekmb_1736715727.407482_Provisional_COVID-19_Deaths_by_Week_and_County_Social_Vulnerability_Index_20250112.csv.gz,2025-01-12 21:02:07 UTC,https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-and-County-Soc/9hdi-ekmb,"Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.

Deaths involving COVID-19 reported to NCHS by week and county Social Vulnerability Index (SVI) in the United States. SVI scores are from CDC/ASTDR's Geospatial Research, Analysis & Service Program 2018 database. These scores range from 0 to 1, and categorized as low (0-0.333), moderate (0.334-0.666) or high (0.667-1).

More information on SVI can be found here: https://www.atsdr.cdc.gov/placeandhealth/svi/index.html",,"{'name': 'Provisional COVID-19 Deaths by Week and County Social Vulnerability Index', 'id': '9hdi-ekmb', 'description': ""Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.\n\nDeaths involving COVID-19 reported to NCHS by week and county Social Vulnerability Index (SVI) in the United States. SVI scores are from CDC/ASTDR's Geospatial Research, Analysis & Service Program 2018 database. These scores range from 0 to 1, and categorized as low (0-0.333), moderate (0.334-0.666) or high (0.667-1).\n\nMore information on SVI can be found here: https://www.atsdr.cdc.gov/placeandhealth/svi/index.html"", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-and-County-Soc/9hdi-ekmb'}"
Provisional COVID-19 Deaths by Week and Urbanicity,hkhc-f7hg,hkhc-f7hg_1736712063.050087_Provisional_COVID-19_Deaths_by_Week_and_Urbanicity_20250112.csv.gz,2025-01-12 20:01:03 UTC,https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-and-Urbanicity/hkhc-f7hg,"Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.

Provisional COVID-19 deaths by urbanicity and week. Deaths are based on the county of occurrence in the United States. Urbanicity is defined as metropolitan and non-metropolitan, based on the 2013 National Center for Health Statistics (NCHS) Urban-Rural Classification Scheme for Counties. Counties are classified as “metropolitan” if they are large central metro, large fringe metro, medium metro or small metro; and “non-metropolitan” if micropolitan or non-core.",,"{'name': 'Provisional COVID-19 Deaths by Week and Urbanicity', 'id': 'hkhc-f7hg', 'description': 'Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.\n\nProvisional COVID-19 deaths by urbanicity and week. Deaths are based on the county of occurrence in the United States. Urbanicity is defined as metropolitan and non-metropolitan, based on the 2013 National Center for Health Statistics (NCHS) Urban-Rural Classification Scheme for Counties. Counties are classified as “metropolitan” if they are large central metro, large fringe metro, medium metro or small metro; and “non-metropolitan” if micropolitan or non-core.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-and-Urbanicity/hkhc-f7hg'}"
"Provisional COVID-19 Deaths by Week, Sex, and Age",vsak-wrfu,vsak-wrfu_1736707506.237560_Provisional_COVID-19_Deaths_by_Week__Sex__and_Age_20250112.csv.gz,2025-01-12 18:45:06 UTC,https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu,"Effective June 28, 2023, this dataset will no longer be updated. Similar data are accessible from CDC WONDER (https://wonder.cdc.gov/mcd-icd10-provisional.html).

Deaths involving COVID-19 reported to NCHS by sex and age group and week ending date.","<https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""original"",
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<http://web.archive.org/web/20210603135709/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Thu, 03 Jun 2021 13:57:09 GMT"",
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<http://web.archive.org/web/20210620122924/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Sun, 20 Jun 2021 12:29:24 GMT"",
<http://web.archive.org/web/20210720105038/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Tue, 20 Jul 2021 10:50:38 GMT"",
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<http://web.archive.org/web/20210905005612/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Sun, 05 Sep 2021 00:56:12 GMT"",
<http://web.archive.org/web/20210905011203/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Sun, 05 Sep 2021 01:12:03 GMT"",
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<http://web.archive.org/web/20211019003101/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Tue, 19 Oct 2021 00:31:01 GMT"",
<http://web.archive.org/web/20211109080039/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Tue, 09 Nov 2021 08:00:39 GMT"",
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<http://web.archive.org/web/20211214012345/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Tue, 14 Dec 2021 01:23:45 GMT"",
<http://web.archive.org/web/20211214022630/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Tue, 14 Dec 2021 02:26:30 GMT"",
<http://web.archive.org/web/20211215080438/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Wed, 15 Dec 2021 08:04:38 GMT"",
<http://web.archive.org/web/20211216084844/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Thu, 16 Dec 2021 08:48:44 GMT"",
<http://web.archive.org/web/20211217112512/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Fri, 17 Dec 2021 11:25:12 GMT"",
<http://web.archive.org/web/20211218065431/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Sat, 18 Dec 2021 06:54:31 GMT"",
<http://web.archive.org/web/20211218091926/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Sat, 18 Dec 2021 09:19:26 GMT"",
<http://web.archive.org/web/20211219101355/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Sun, 19 Dec 2021 10:13:55 GMT"",
<http://web.archive.org/web/20211219210425/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Sun, 19 Dec 2021 21:04:25 GMT"",
<http://web.archive.org/web/20211221014540/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Tue, 21 Dec 2021 01:45:40 GMT"",
<http://web.archive.org/web/20211223053606/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Thu, 23 Dec 2021 05:36:06 GMT"",
<http://web.archive.org/web/20211224152803/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Fri, 24 Dec 2021 15:28:03 GMT"",
<http://web.archive.org/web/20211226043606/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Sun, 26 Dec 2021 04:36:06 GMT"",
<http://web.archive.org/web/20220101193331/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Sat, 01 Jan 2022 19:33:31 GMT"",
<http://web.archive.org/web/20220105122119/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Wed, 05 Jan 2022 12:21:19 GMT"",
<http://web.archive.org/web/20220109182443/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Sun, 09 Jan 2022 18:24:43 GMT"",
<http://web.archive.org/web/20220114223621/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Fri, 14 Jan 2022 22:36:21 GMT"",
<http://web.archive.org/web/20220214002123/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Mon, 14 Feb 2022 00:21:23 GMT"",
<http://web.archive.org/web/20220403033748/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Sun, 03 Apr 2022 03:37:48 GMT"",
<http://web.archive.org/web/20220416005153/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Sat, 16 Apr 2022 00:51:53 GMT"",
<http://web.archive.org/web/20220517030717/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Tue, 17 May 2022 03:07:17 GMT"",
<http://web.archive.org/web/20220527164625/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Fri, 27 May 2022 16:46:25 GMT"",
<http://web.archive.org/web/20220606212628/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Mon, 06 Jun 2022 21:26:28 GMT"",
<http://web.archive.org/web/20220630144253/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Thu, 30 Jun 2022 14:42:53 GMT"",
<http://web.archive.org/web/20220711215539/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Mon, 11 Jul 2022 21:55:39 GMT"",
<http://web.archive.org/web/20220801172338/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Mon, 01 Aug 2022 17:23:38 GMT"",
<http://web.archive.org/web/20220831093027/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Wed, 31 Aug 2022 09:30:27 GMT"",
<http://web.archive.org/web/20220901043156/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Thu, 01 Sep 2022 04:31:56 GMT"",
<http://web.archive.org/web/20220927024430/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Tue, 27 Sep 2022 02:44:30 GMT"",
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<http://web.archive.org/web/20221031070912/http://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Mon, 31 Oct 2022 07:09:12 GMT"",
<http://web.archive.org/web/20221117201117/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Thu, 17 Nov 2022 20:11:17 GMT"",
<http://web.archive.org/web/20221127040625/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Sun, 27 Nov 2022 04:06:25 GMT"",
<http://web.archive.org/web/20221201084125/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Thu, 01 Dec 2022 08:41:25 GMT"",
<http://web.archive.org/web/20221201174936/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Thu, 01 Dec 2022 17:49:36 GMT"",
<http://web.archive.org/web/20221202193357/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Fri, 02 Dec 2022 19:33:57 GMT"",
<http://web.archive.org/web/20221203212015/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Sat, 03 Dec 2022 21:20:15 GMT"",
<http://web.archive.org/web/20221204222208/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Sun, 04 Dec 2022 22:22:08 GMT"",
<http://web.archive.org/web/20221205223350/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Mon, 05 Dec 2022 22:33:50 GMT"",
<http://web.archive.org/web/20221206225604/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Tue, 06 Dec 2022 22:56:04 GMT"",
<http://web.archive.org/web/20221207061306/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Wed, 07 Dec 2022 06:13:06 GMT"",
<http://web.archive.org/web/20221208004605/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Thu, 08 Dec 2022 00:46:05 GMT"",
<http://web.archive.org/web/20221209005320/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Fri, 09 Dec 2022 00:53:20 GMT"",
<http://web.archive.org/web/20221210023924/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Sat, 10 Dec 2022 02:39:24 GMT"",
<http://web.archive.org/web/20221212033634/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Mon, 12 Dec 2022 03:36:34 GMT"",
<http://web.archive.org/web/20221213043925/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Tue, 13 Dec 2022 04:39:25 GMT"",
<http://web.archive.org/web/20221214034203/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Wed, 14 Dec 2022 03:42:03 GMT"",
<http://web.archive.org/web/20221215094139/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Thu, 15 Dec 2022 09:41:39 GMT"",
<http://web.archive.org/web/20221216075005/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Fri, 16 Dec 2022 07:50:05 GMT"",
<http://web.archive.org/web/20221217133556/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Sat, 17 Dec 2022 13:35:56 GMT"",
<http://web.archive.org/web/20221218105355/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Sun, 18 Dec 2022 10:53:55 GMT"",
<http://web.archive.org/web/20221219085432/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Mon, 19 Dec 2022 08:54:32 GMT"",
<http://web.archive.org/web/20221221183737/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Wed, 21 Dec 2022 18:37:37 GMT"",
<http://web.archive.org/web/20221223162347/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Fri, 23 Dec 2022 16:23:47 GMT"",
<http://web.archive.org/web/20221224225924/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Sat, 24 Dec 2022 22:59:24 GMT"",
<http://web.archive.org/web/20221225162004/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Sun, 25 Dec 2022 16:20:04 GMT"",
<http://web.archive.org/web/20221226185346/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Mon, 26 Dec 2022 18:53:46 GMT"",
<http://web.archive.org/web/20221227200924/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Tue, 27 Dec 2022 20:09:24 GMT"",
<http://web.archive.org/web/20221228180854/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Wed, 28 Dec 2022 18:08:54 GMT"",
<http://web.archive.org/web/20221230180909/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Fri, 30 Dec 2022 18:09:09 GMT"",
<http://web.archive.org/web/20221230180921/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Fri, 30 Dec 2022 18:09:21 GMT"",
<http://web.archive.org/web/20221230205144/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Fri, 30 Dec 2022 20:51:44 GMT"",
<http://web.archive.org/web/20221231180522/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Sat, 31 Dec 2022 18:05:22 GMT"",
<http://web.archive.org/web/20230101104836/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Sun, 01 Jan 2023 10:48:36 GMT"",
<http://web.archive.org/web/20230102105647/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Mon, 02 Jan 2023 10:56:47 GMT"",
<http://web.archive.org/web/20230104015622/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Wed, 04 Jan 2023 01:56:22 GMT"",
<http://web.archive.org/web/20230107200930/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Sat, 07 Jan 2023 20:09:30 GMT"",
<http://web.archive.org/web/20230108205216/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Sun, 08 Jan 2023 20:52:16 GMT"",
<http://web.archive.org/web/20230131114504/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Tue, 31 Jan 2023 11:45:04 GMT"",
<http://web.archive.org/web/20230131175608/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Tue, 31 Jan 2023 17:56:08 GMT"",
<http://web.archive.org/web/20230212155230/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Sun, 12 Feb 2023 15:52:30 GMT"",
<http://web.archive.org/web/20230217225417/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Fri, 17 Feb 2023 22:54:17 GMT"",
<http://web.archive.org/web/20230218195406/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Sat, 18 Feb 2023 19:54:06 GMT"",
<http://web.archive.org/web/20230221103211/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Tue, 21 Feb 2023 10:32:11 GMT"",
<http://web.archive.org/web/20230222100228/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Wed, 22 Feb 2023 10:02:28 GMT"",
<http://web.archive.org/web/20230224014909/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Fri, 24 Feb 2023 01:49:09 GMT"",
<http://web.archive.org/web/20230224181127/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Fri, 24 Feb 2023 18:11:27 GMT"",
<http://web.archive.org/web/20230225185448/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Sat, 25 Feb 2023 18:54:48 GMT"",
<http://web.archive.org/web/20230225195037/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Sat, 25 Feb 2023 19:50:37 GMT"",
<http://web.archive.org/web/20230226174609/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Sun, 26 Feb 2023 17:46:09 GMT"",
<http://web.archive.org/web/20230227203047/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Mon, 27 Feb 2023 20:30:47 GMT"",
<http://web.archive.org/web/20230228211551/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Tue, 28 Feb 2023 21:15:51 GMT"",
<http://web.archive.org/web/20230301192653/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Wed, 01 Mar 2023 19:26:53 GMT"",
<http://web.archive.org/web/20230303171352/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Fri, 03 Mar 2023 17:13:52 GMT"",
<http://web.archive.org/web/20230309161027/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Thu, 09 Mar 2023 16:10:27 GMT"",
<http://web.archive.org/web/20230314180354/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Tue, 14 Mar 2023 18:03:54 GMT"",
<http://web.archive.org/web/20230315161746/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Wed, 15 Mar 2023 16:17:46 GMT"",
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<http://web.archive.org/web/20230316201133/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Thu, 16 Mar 2023 20:11:33 GMT"",
<http://web.archive.org/web/20230316201348/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Thu, 16 Mar 2023 20:13:48 GMT"",
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<http://web.archive.org/web/20230322112557/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Wed, 22 Mar 2023 11:25:57 GMT"",
<http://web.archive.org/web/20230323104955/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Thu, 23 Mar 2023 10:49:55 GMT"",
<http://web.archive.org/web/20230325230351/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Sat, 25 Mar 2023 23:03:51 GMT"",
<http://web.archive.org/web/20230404031644/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Tue, 04 Apr 2023 03:16:44 GMT"",
<http://web.archive.org/web/20230519145048/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Fri, 19 May 2023 14:50:48 GMT"",
<http://web.archive.org/web/20230601030555/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Thu, 01 Jun 2023 03:05:55 GMT"",
<http://web.archive.org/web/20230707031113/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Fri, 07 Jul 2023 03:11:13 GMT"",
<http://web.archive.org/web/20230717001833/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Mon, 17 Jul 2023 00:18:33 GMT"",
<http://web.archive.org/web/20230805035403/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Sat, 05 Aug 2023 03:54:03 GMT"",
<http://web.archive.org/web/20231004144812/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Wed, 04 Oct 2023 14:48:12 GMT"",
<http://web.archive.org/web/20231007185105/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Sat, 07 Oct 2023 18:51:05 GMT"",
<http://web.archive.org/web/20231029011520/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Sun, 29 Oct 2023 01:15:20 GMT"",
<http://web.archive.org/web/20231204192616/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Mon, 04 Dec 2023 19:26:16 GMT"",
<http://web.archive.org/web/20231205210210/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Tue, 05 Dec 2023 21:02:10 GMT"",
<http://web.archive.org/web/20231221164613/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Thu, 21 Dec 2023 16:46:13 GMT"",
<http://web.archive.org/web/20240119204327/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Fri, 19 Jan 2024 20:43:27 GMT"",
<http://web.archive.org/web/20240128172740/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Sun, 28 Jan 2024 17:27:40 GMT"",
<http://web.archive.org/web/20240227212231/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Tue, 27 Feb 2024 21:22:31 GMT"",
<http://web.archive.org/web/20240309113401/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Sat, 09 Mar 2024 11:34:01 GMT"",
<http://web.archive.org/web/20240312125251/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Tue, 12 Mar 2024 12:52:51 GMT"",
<http://web.archive.org/web/20240312163631/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Tue, 12 Mar 2024 16:36:31 GMT"",
<http://web.archive.org/web/20240518194354/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Sat, 18 May 2024 19:43:54 GMT"",
<http://web.archive.org/web/20240713130737/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Sat, 13 Jul 2024 13:07:37 GMT"",
<http://web.archive.org/web/20240723134641/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Tue, 23 Jul 2024 13:46:41 GMT"",
<http://web.archive.org/web/20240910115510/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Tue, 10 Sep 2024 11:55:10 GMT"",
<http://web.archive.org/web/20241002060419/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Wed, 02 Oct 2024 06:04:19 GMT"",
<http://web.archive.org/web/20241003120428/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Thu, 03 Oct 2024 12:04:28 GMT"",
<http://web.archive.org/web/20241125212713/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Mon, 25 Nov 2024 21:27:13 GMT"",
<http://web.archive.org/web/20241125235248/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Mon, 25 Nov 2024 23:52:48 GMT"",
<http://web.archive.org/web/20241128042548/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Thu, 28 Nov 2024 04:25:48 GMT"",
<http://web.archive.org/web/20241130125657/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Sat, 30 Nov 2024 12:56:57 GMT"",
<http://web.archive.org/web/20241130160212/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Sat, 30 Nov 2024 16:02:12 GMT"",
<http://web.archive.org/web/20241203072336/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Tue, 03 Dec 2024 07:23:36 GMT"",
<http://web.archive.org/web/20241214182848/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Sat, 14 Dec 2024 18:28:48 GMT"",
<http://web.archive.org/web/20241217151024/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Tue, 17 Dec 2024 15:10:24 GMT"",
<http://web.archive.org/web/20250118073838/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Sat, 18 Jan 2025 07:38:38 GMT"",
<http://web.archive.org/web/20250123064041/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Thu, 23 Jan 2025 06:40:41 GMT"",
<http://web.archive.org/web/20250131193708/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Fri, 31 Jan 2025 19:37:08 GMT"",
<http://web.archive.org/web/20250201004304/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Sat, 01 Feb 2025 00:43:04 GMT"",
<http://web.archive.org/web/20250201204811/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Sat, 01 Feb 2025 20:48:11 GMT"",
<http://web.archive.org/web/20250202004343/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Sun, 02 Feb 2025 00:43:43 GMT"",
<http://web.archive.org/web/20250202032931/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Sun, 02 Feb 2025 03:29:31 GMT"",
<http://web.archive.org/web/20250202090446/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Sun, 02 Feb 2025 09:04:46 GMT"",
<http://web.archive.org/web/20250205013056/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Wed, 05 Feb 2025 01:30:56 GMT"",
<http://web.archive.org/web/20250205013056/https://data.cdc.gov/nchs/provisional-covid-19-deaths-by-week-sex-and-age/vsak-wrfu>; rel=""memento""; datetime=""Wed, 05 Feb 2025 01:30:56 GMT"",
<http://web.archive.org/web/20250206072936/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Thu, 06 Feb 2025 07:29:36 GMT"",
<http://web.archive.org/web/20250206072941/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Thu, 06 Feb 2025 07:29:41 GMT"",
<http://web.archive.org/web/20250206072954/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu/>; rel=""memento""; datetime=""Thu, 06 Feb 2025 07:29:54 GMT"",
<http://web.archive.org/web/20250206194926/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Thu, 06 Feb 2025 19:49:26 GMT"",
<http://web.archive.org/web/20250207105800/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu>; rel=""memento""; datetime=""Fri, 07 Feb 2025 10:58:00 GMT""
","{'name': 'Provisional COVID-19 Deaths by Week, Sex, and Age', 'id': 'vsak-wrfu', 'description': 'Effective June 28, 2023, this dataset will no longer be updated. Similar data are accessible from CDC WONDER (https://wonder.cdc.gov/mcd-icd10-provisional.html).\n\nDeaths involving COVID-19 reported to NCHS by sex and age group and week ending date.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-by-Week-Sex-and-Age/vsak-wrfu'}"
Provisional COVID-19 Deaths: Distribution of Deaths by Race and Hispanic Origin,pj7m-y5uh,pj7m-y5uh_1736707998.333453_Provisional_COVID-19_Deaths__Distribution_of_Deaths_by_Race_and_Hispanic_Origin_20250112.csv.gz,2025-01-12 18:53:18 UTC,https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Distribution-of-Deaths/pj7m-y5uh,"Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.

This data file contains the following indicators that can be used to illustrate potential differences in the burden of deaths due to COVID-19 according to race and ethnicity:
count of COVID-19 deaths, distribution of COVID-19 deaths, unweighted distribution of population, and weighted distribution of population.",,"{'name': 'Provisional COVID-19 Deaths: Distribution of Deaths by Race and Hispanic Origin', 'id': 'pj7m-y5uh', 'description': 'Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.\n\nThis data file contains the following indicators that can be used to illustrate potential differences in the burden of deaths due to COVID-19 according to race and ethnicity:\ncount of COVID-19 deaths, distribution of COVID-19 deaths, unweighted distribution of population, and weighted distribution of population.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Distribution-of-Deaths/pj7m-y5uh'}"
Provisional COVID-19 Deaths: Focus on Ages 0-18 Years,nr4s-juj3,nr4s-juj3_1736706739.597172_Provisional_COVID-19_Deaths__Focus_on_Ages_0-18_Years_20250112.csv.gz,2025-01-12 18:32:19 UTC,https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3,"Effective June 28, 2023, this dataset will no longer be updated. Similar data are accessible from CDC WONDER (https://wonder.cdc.gov/mcd-icd10-provisional.html).

Deaths involving coronavirus disease 2019 (COVID-19) with a focus on ages 0-18 years in the United States.","<https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""original"",
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<http://web.archive.org/web/20220726233530/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Tue, 26 Jul 2022 23:35:30 GMT"",
<http://web.archive.org/web/20220728070140/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Thu, 28 Jul 2022 07:01:40 GMT"",
<http://web.archive.org/web/20220728222040/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Thu, 28 Jul 2022 22:20:40 GMT"",
<http://web.archive.org/web/20220729064554/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Fri, 29 Jul 2022 06:45:54 GMT"",
<http://web.archive.org/web/20220730000932/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Sat, 30 Jul 2022 00:09:32 GMT"",
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<http://web.archive.org/web/20220731005842/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Sun, 31 Jul 2022 00:58:42 GMT"",
<http://web.archive.org/web/20220731230503/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Sun, 31 Jul 2022 23:05:03 GMT"",
<http://web.archive.org/web/20220801051602/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Mon, 01 Aug 2022 05:16:02 GMT"",
<http://web.archive.org/web/20220802005344/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Tue, 02 Aug 2022 00:53:44 GMT"",
<http://web.archive.org/web/20220802054307/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Tue, 02 Aug 2022 05:43:07 GMT"",
<http://web.archive.org/web/20220803032506/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Wed, 03 Aug 2022 03:25:06 GMT"",
<http://web.archive.org/web/20220803062134/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Wed, 03 Aug 2022 06:21:34 GMT"",
<http://web.archive.org/web/20220804040243/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Thu, 04 Aug 2022 04:02:43 GMT"",
<http://web.archive.org/web/20220804140934/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Thu, 04 Aug 2022 14:09:34 GMT"",
<http://web.archive.org/web/20220805054836/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Fri, 05 Aug 2022 05:48:36 GMT"",
<http://web.archive.org/web/20220806061616/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Sat, 06 Aug 2022 06:16:16 GMT"",
<http://web.archive.org/web/20220807060316/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Sun, 07 Aug 2022 06:03:16 GMT"",
<http://web.archive.org/web/20220808074235/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Mon, 08 Aug 2022 07:42:35 GMT"",
<http://web.archive.org/web/20220809082600/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Tue, 09 Aug 2022 08:26:00 GMT"",
<http://web.archive.org/web/20220809221336/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Tue, 09 Aug 2022 22:13:36 GMT"",
<http://web.archive.org/web/20220810081233/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Wed, 10 Aug 2022 08:12:33 GMT"",
<http://web.archive.org/web/20220811033114/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Thu, 11 Aug 2022 03:31:14 GMT"",
<http://web.archive.org/web/20220811034536/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Thu, 11 Aug 2022 03:45:36 GMT"",
<http://web.archive.org/web/20220811083030/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Thu, 11 Aug 2022 08:30:30 GMT"",
<http://web.archive.org/web/20220812013358/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Fri, 12 Aug 2022 01:33:58 GMT"",
<http://web.archive.org/web/20220812095605/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Fri, 12 Aug 2022 09:56:05 GMT"",
<http://web.archive.org/web/20220813113952/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Sat, 13 Aug 2022 11:39:52 GMT"",
<http://web.archive.org/web/20220814190421/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Sun, 14 Aug 2022 19:04:21 GMT"",
<http://web.archive.org/web/20220815111558/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Mon, 15 Aug 2022 11:15:58 GMT"",
<http://web.archive.org/web/20220818125823/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Thu, 18 Aug 2022 12:58:23 GMT"",
<http://web.archive.org/web/20220819010003/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Fri, 19 Aug 2022 01:00:03 GMT"",
<http://web.archive.org/web/20220819100514/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Fri, 19 Aug 2022 10:05:14 GMT"",
<http://web.archive.org/web/20220820101747/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Sat, 20 Aug 2022 10:17:47 GMT"",
<http://web.archive.org/web/20220820230518/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Sat, 20 Aug 2022 23:05:18 GMT"",
<http://web.archive.org/web/20220821111021/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Sun, 21 Aug 2022 11:10:21 GMT"",
<http://web.archive.org/web/20220821235547/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Sun, 21 Aug 2022 23:55:47 GMT"",
<http://web.archive.org/web/20220822111817/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Mon, 22 Aug 2022 11:18:17 GMT"",
<http://web.archive.org/web/20220823051510/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Tue, 23 Aug 2022 05:15:10 GMT"",
<http://web.archive.org/web/20220823141912/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Tue, 23 Aug 2022 14:19:12 GMT"",
<http://web.archive.org/web/20220824022501/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Wed, 24 Aug 2022 02:25:01 GMT"",
<http://web.archive.org/web/20220824134350/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Wed, 24 Aug 2022 13:43:50 GMT"",
<http://web.archive.org/web/20220824155740/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Wed, 24 Aug 2022 15:57:40 GMT"",
<http://web.archive.org/web/20220826082254/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Fri, 26 Aug 2022 08:22:54 GMT"",
<http://web.archive.org/web/20220827020904/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Sat, 27 Aug 2022 02:09:04 GMT"",
<http://web.archive.org/web/20220827063733/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Sat, 27 Aug 2022 06:37:33 GMT"",
<http://web.archive.org/web/20220828075300/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Sun, 28 Aug 2022 07:53:00 GMT"",
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<http://web.archive.org/web/20221031220803/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Mon, 31 Oct 2022 22:08:03 GMT"",
<http://web.archive.org/web/20221101081913/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Tue, 01 Nov 2022 08:19:13 GMT"",
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<http://web.archive.org/web/20221101221954/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Tue, 01 Nov 2022 22:19:54 GMT"",
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<http://web.archive.org/web/20221103175803/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Thu, 03 Nov 2022 17:58:03 GMT"",
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<http://web.archive.org/web/20230222232500/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Wed, 22 Feb 2023 23:25:00 GMT"",
<http://web.archive.org/web/20230223180434/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Thu, 23 Feb 2023 18:04:34 GMT"",
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<http://web.archive.org/web/20230626200250/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Mon, 26 Jun 2023 20:02:50 GMT"",
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<http://web.archive.org/web/20230802002259/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Wed, 02 Aug 2023 00:22:59 GMT"",
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<http://web.archive.org/web/20230805100335/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Sat, 05 Aug 2023 10:03:35 GMT"",
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<http://web.archive.org/web/20231030145947/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Mon, 30 Oct 2023 14:59:47 GMT"",
<http://web.archive.org/web/20231120090408/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Mon, 20 Nov 2023 09:04:08 GMT"",
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<http://web.archive.org/web/20231202190621/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Sat, 02 Dec 2023 19:06:21 GMT"",
<http://web.archive.org/web/20231207225311/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Thu, 07 Dec 2023 22:53:11 GMT"",
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<http://web.archive.org/web/20250209003821/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Sun, 09 Feb 2025 00:38:21 GMT"",
<http://web.archive.org/web/20250209195955/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3/>; rel=""memento""; datetime=""Sun, 09 Feb 2025 19:59:55 GMT"",
<http://web.archive.org/web/20250209200013/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Sun, 09 Feb 2025 20:00:13 GMT"",
<http://web.archive.org/web/20250213032300/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Thu, 13 Feb 2025 03:23:00 GMT"",
<http://web.archive.org/web/20250213090233/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Thu, 13 Feb 2025 09:02:33 GMT"",
<http://web.archive.org/web/20250213114637/https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3>; rel=""memento""; datetime=""Thu, 13 Feb 2025 11:46:37 GMT""
","{'name': 'Provisional COVID-19 Deaths: Focus on Ages 0-18 Years', 'id': 'nr4s-juj3', 'description': 'Effective June 28, 2023, this dataset will no longer be updated. Similar data are accessible from CDC WONDER (https://wonder.cdc.gov/mcd-icd10-provisional.html).\n\nDeaths involving coronavirus disease 2019 (COVID-19) with a focus on ages 0-18 years in the United States.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Provisional-COVID-19-Deaths-Focus-on-Ages-0-18-Yea/nr4s-juj3'}"
"Provisional COVID-19 death counts and rates by month, jurisdiction of residence, and demographic characteristics",yrur-wghw,yrur-wghw_1736713349.093827_Provisional_COVID-19_death_counts_and_rates_by_month__jurisdiction_of_residence__and_demographic_characteristics_20250112.csv.gz,2025-01-12 20:22:29 UTC,https://data.cdc.gov/NCHS/Provisional-COVID-19-death-counts-and-rates-by-mon/yrur-wghw,"This file contains COVID-19 death counts and rates by month and year of death, jurisdiction of residence (U.S., HHS Region) and demographic characteristics (sex, age, race and Hispanic origin, and age/race and Hispanic origin). United States death counts and rates include the 50 states, plus the District of Columbia.

Deaths with confirmed or presumed COVID-19, coded to ICD–10 code U07.1. Number of deaths reported in this file are the total number of COVID-19 deaths received and coded as of the date of analysis and may not represent all deaths that occurred in that period. Counts of deaths occurring before or after the reporting period are not included in the file.

Data during recent periods are incomplete because of the lag in time between when the death occurred and when the death certificate is completed, submitted to NCHS and processed for reporting purposes. This delay can range from 1 week to 8 weeks or more, depending on the jurisdiction and cause of death.

Death counts should not be compared across jurisdictions. Data timeliness varies by state. Some states report deaths on a daily basis, while other states report deaths weekly or monthly.

The ten (10) United States Department of Health and Human Services (HHS) regions include the following jurisdictions. Region 1: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont; Region 2: New Jersey, New York; Region 3: Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, West Virginia; Region 4: Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee; Region 5: Illinois, Indiana, Michigan, Minnesota, Ohio, Wisconsin; Region 6: Arkansas, Louisiana, New Mexico, Oklahoma, Texas; Region 7: Iowa, Kansas, Missouri, Nebraska; Region 8: Colorado, Montana, North Dakota, South Dakota, Utah, Wyoming; Region 9: Arizona, California, Hawaii, Nevada; Region 10: Alaska, Idaho, Oregon, Washington.

Rates were calculated using the population estimates for 2021, which are estimated as of July 1, 2021 based on the Blended Base produced by the US Census Bureau in lieu of the April 1, 2020 decennial population count. The Blended Base consists of the blend of Vintage 2020 postcensal population estimates, 2020 Demographic Analysis Estimates, and 2020 Census PL 94-171 Redistricting File (see https://www2.census.gov/programs-surveys/popest/technical-documentation/methodology/2020-2021/methods-statement-v2021.pdf).

Rate are based on deaths occurring in the specified week and are age-adjusted to the 2000 standard population using the direct method (see https://www.cdc.gov/nchs/data/nvsr/nvsr70/nvsr70-08-508.pdf). These rates differ from annual age-adjusted rates, typically presented in NCHS publications based on a full year of data and annualized weekly age-adjusted rates which have been adjusted to allow comparison with annual rates. Annualization rates presents deaths per year per 100,000 population that would be expected in a year if the observed period specific (weekly) rate prevailed for a full year.

Sub-national death counts between 1-9 are suppressed in accordance with NCHS data confidentiality standards. Rates based on death counts less than 20 are suppressed in accordance with NCHS standards of reliability as specified in NCHS Data Presentation Standards for Proportions (available from: https://www.cdc.gov/nchs/data/series/sr_02/sr02_175.pdf.).",,"{'name': 'Provisional COVID-19 death counts and rates by month, jurisdiction of residence, and demographic characteristics', 'id': 'yrur-wghw', 'description': 'This file contains COVID-19 death counts and rates by month and year of death, jurisdiction of residence (U.S., HHS Region) and demographic characteristics (sex, age, race and Hispanic origin, and age/race and Hispanic origin). United States death counts and rates include the 50 states, plus the District of Columbia.\n\nDeaths with confirmed or presumed COVID-19, coded to ICD–10 code U07.1. Number of deaths reported in this file are the total number of COVID-19 deaths received and coded as of the date of analysis and may not represent all deaths that occurred in that period. Counts of deaths occurring before or after the reporting period are not included in the file.\n\nData during recent periods are incomplete because of the lag in time between when the death occurred and when the death certificate is completed, submitted to NCHS and processed for reporting purposes. This delay can range from 1 week to 8 weeks or more, depending on the jurisdiction and cause of death.\n\nDeath counts should not be compared across jurisdictions. Data timeliness varies by state. Some states report deaths on a daily basis, while other states report deaths weekly or monthly.\n\nThe ten (10) United States Department of Health and Human Services (HHS) regions include the following jurisdictions. Region 1: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont; Region 2: New Jersey, New York; Region 3: Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, West Virginia; Region 4: Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee; Region 5: Illinois, Indiana, Michigan, Minnesota, Ohio, Wisconsin; Region 6: Arkansas, Louisiana, New Mexico, Oklahoma, Texas; Region 7: Iowa, Kansas, Missouri, Nebraska; Region 8: Colorado, Montana, North Dakota, South Dakota, Utah, Wyoming; Region 9: Arizona, California, Hawaii, Nevada; Region 10: Alaska, Idaho, Oregon, Washington.\n\nRates were calculated using the population estimates for 2021, which are estimated as of July 1, 2021 based on the Blended Base produced by the US Census Bureau in lieu of the April 1, 2020 decennial population count. The Blended Base consists of the blend of Vintage 2020 postcensal population estimates, 2020 Demographic Analysis Estimates, and 2020 Census PL 94-171 Redistricting File (see https://www2.census.gov/programs-surveys/popest/technical-documentation/methodology/2020-2021/methods-statement-v2021.pdf).\n\nRate are based on deaths occurring in the specified week and are age-adjusted to the 2000 standard population using the direct method (see https://www.cdc.gov/nchs/data/nvsr/nvsr70/nvsr70-08-508.pdf). These rates differ from annual age-adjusted rates, typically presented in NCHS publications based on a full year of data and annualized weekly age-adjusted rates which have been adjusted to allow comparison with annual rates. Annualization rates presents deaths per year per 100,000 population that would be expected in a year if the observed period specific (weekly) rate prevailed for a full year.\n\nSub-national death counts between 1-9 are suppressed in accordance with NCHS data confidentiality standards. Rates based on death counts less than 20 are suppressed in accordance with NCHS standards of reliability as specified in NCHS Data Presentation Standards for Proportions (available from: https://www.cdc.gov/nchs/data/series/sr_02/sr02_175.pdf.).', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Provisional-COVID-19-death-counts-and-rates-by-mon/yrur-wghw'}"
"Provisional COVID-19 death counts and rates, by jurisdiction of residence and demographic characteristics",dmnu-8erf,dmnu-8erf_1736713362.597724_Provisional_COVID-19_death_counts_and_rates__by_jurisdiction_of_residence_and_demographic_characteristics_20250112.csv.gz,2025-01-12 20:22:42 UTC,https://data.cdc.gov/NCHS/Provisional-COVID-19-death-counts-and-rates-by-jur/dmnu-8erf,"This file contains COVID-19 death counts and rates by jurisdiction of residence (U.S., HHS Region) and demographic characteristics (sex, age, race and Hispanic origin, and age/race and Hispanic origin). United States death counts and rates include the 50 states, plus the District of Columbia. 

Deaths with confirmed or presumed COVID-19, coded to ICD–10 code U07.1. Number of deaths reported in this file are the total number of COVID-19 deaths received and coded as of the date of analysis and may not represent all deaths that occurred in that period. Counts of deaths occurring before or after the reporting period are not included in the file.

Data during recent periods are incomplete because of the lag in time between when the death occurred and when the death certificate is completed, submitted to NCHS and processed for reporting purposes. This delay can range from 1 week to 8 weeks or more, depending on the jurisdiction and cause of death.

Death counts should not be compared across jurisdictions. Data timeliness varies by state. Some states report deaths on a daily basis, while other states report deaths weekly or monthly. 

The ten (10) United States Department of Health and Human Services (HHS) regions include the following jurisdictions. Region 1: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont; Region 2: New Jersey, New York; Region 3: Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, West Virginia; Region 4: Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee; Region 5: Illinois, Indiana, Michigan, Minnesota, Ohio, Wisconsin; Region 6: Arkansas, Louisiana, New Mexico, Oklahoma, Texas; Region 7: Iowa, Kansas, Missouri, Nebraska; Region 8: Colorado, Montana, North Dakota, South Dakota, Utah, Wyoming; Region 9: Arizona, California, Hawaii, Nevada; Region 10: Alaska, Idaho, Oregon, Washington.

Rates were calculated using the population estimates for 2021, which are estimated as of July 1, 2021 based on the Blended Base produced by the US Census Bureau in lieu of the April 1, 2020 decennial population count. The Blended Base consists of the blend of Vintage 2020 postcensal population estimates, 2020 Demographic Analysis Estimates, and 2020 Census PL 94-171 Redistricting File (see https://www2.census.gov/programs-surveys/popest/technical-documentation/methodology/2020-2021/methods-statement-v2021.pdf).

Rate are based on deaths occurring in the specified week and are age-adjusted to the 2000 standard population using the direct method (see https://www.cdc.gov/nchs/data/nvsr/nvsr70/nvsr70-08-508.pdf). These rates differ from annual age-adjusted rates, typically presented in NCHS publications based on a full year of data and annualized weekly age-adjusted rates which have been adjusted to allow comparison with annual rates. Annualization rates presents deaths per year per 100,000 population that would be expected in a year if the observed period specific (weekly) rate prevailed for a full year.

Sub-national death counts between 1-9 are suppressed in accordance with NCHS data confidentiality standards. Rates based on death counts less than 20 are suppressed in accordance with NCHS standards of reliability as specified in NCHS Data Presentation Standards for Proportions (available from: https://www.cdc.gov/nchs/data/series/sr_02/sr02_175.pdf.).",,"{'name': 'Provisional COVID-19 death counts and rates, by jurisdiction of residence and demographic characteristics', 'id': 'dmnu-8erf', 'description': 'This file contains COVID-19 death counts and rates by jurisdiction of residence (U.S., HHS Region) and demographic characteristics (sex, age, race and Hispanic origin, and age/race and Hispanic origin). United States death counts and rates include the 50 states, plus the District of Columbia. \n\nDeaths with confirmed or presumed COVID-19, coded to ICD–10 code U07.1. Number of deaths reported in this file are the total number of COVID-19 deaths received and coded as of the date of analysis and may not represent all deaths that occurred in that period. Counts of deaths occurring before or after the reporting period are not included in the file.\n\nData during recent periods are incomplete because of the lag in time between when the death occurred and when the death certificate is completed, submitted to NCHS and processed for reporting purposes. This delay can range from 1 week to 8 weeks or more, depending on the jurisdiction and cause of death.\n\nDeath counts should not be compared across jurisdictions. Data timeliness varies by state. Some states report deaths on a daily basis, while other states report deaths weekly or monthly. \n\nThe ten (10) United States Department of Health and Human Services (HHS) regions include the following jurisdictions. Region 1: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont; Region 2: New Jersey, New York; Region 3: Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, West Virginia; Region 4: Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee; Region 5: Illinois, Indiana, Michigan, Minnesota, Ohio, Wisconsin; Region 6: Arkansas, Louisiana, New Mexico, Oklahoma, Texas; Region 7: Iowa, Kansas, Missouri, Nebraska; Region 8: Colorado, Montana, North Dakota, South Dakota, Utah, Wyoming; Region 9: Arizona, California, Hawaii, Nevada; Region 10: Alaska, Idaho, Oregon, Washington.\n\nRates were calculated using the population estimates for 2021, which are estimated as of July 1, 2021 based on the Blended Base produced by the US Census Bureau in lieu of the April 1, 2020 decennial population count. The Blended Base consists of the blend of Vintage 2020 postcensal population estimates, 2020 Demographic Analysis Estimates, and 2020 Census PL 94-171 Redistricting File (see https://www2.census.gov/programs-surveys/popest/technical-documentation/methodology/2020-2021/methods-statement-v2021.pdf).\n\nRate are based on deaths occurring in the specified week and are age-adjusted to the 2000 standard population using the direct method (see https://www.cdc.gov/nchs/data/nvsr/nvsr70/nvsr70-08-508.pdf). These rates differ from annual age-adjusted rates, typically presented in NCHS publications based on a full year of data and annualized weekly age-adjusted rates which have been adjusted to allow comparison with annual rates. Annualization rates presents deaths per year per 100,000 population that would be expected in a year if the observed period specific (weekly) rate prevailed for a full year.\n\nSub-national death counts between 1-9 are suppressed in accordance with NCHS data confidentiality standards. Rates based on death counts less than 20 are suppressed in accordance with NCHS standards of reliability as specified in NCHS Data Presentation Standards for Proportions (available from: https://www.cdc.gov/nchs/data/series/sr_02/sr02_175.pdf.).', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Provisional-COVID-19-death-counts-and-rates-by-jur/dmnu-8erf'}"
"Provisional COVID-19 death counts, rates, and percent of total deaths, by jurisdiction of residence",mpx5-t7tu,mpx5-t7tu_1736710444.538808_Provisional_COVID-19_death_counts__rates__and_percent_of_total_deaths__by_jurisdiction_of_residence_20250112.csv.gz,2025-01-12 19:34:04 UTC,https://data.cdc.gov/NCHS/Provisional-COVID-19-death-counts-rates-and-percen/mpx5-t7tu,"This file contains COVID-19 death counts, death rates, and percent of total deaths by jurisdiction of residence. The data is grouped by different time periods including 3-month period, weekly, and total (cumulative since January 1, 2020). United States death counts and rates include the 50 states, plus the District of Columbia and New York City. New York state estimates exclude New York City. Puerto Rico is included in HHS Region 2 estimates.

Deaths with confirmed or presumed COVID-19, coded to ICD–10 code U07.1. Number of deaths reported in this file are the total number of COVID-19 deaths received and coded as of the date of analysis and may not represent all deaths that occurred in that period. Counts of deaths occurring before or after the reporting period are not included in the file.

Data during recent periods are incomplete because of the lag in time between when the death occurred and when the death certificate is completed, submitted to NCHS and processed for reporting purposes. This delay can range from 1 week to 8 weeks or more, depending on the jurisdiction and cause of death.

Death counts should not be compared across states. Data timeliness varies by state. Some states report deaths on a daily basis, while other states report deaths weekly or monthly. 

The ten (10) United States Department of Health and Human Services (HHS) regions include the following jurisdictions. Region 1: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont; Region 2: New Jersey, New York, New York City, Puerto Rico; Region 3: Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, West Virginia; Region 4: Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee; Region 5: Illinois, Indiana, Michigan, Minnesota, Ohio, Wisconsin; Region 6: Arkansas, Louisiana, New Mexico, Oklahoma, Texas; Region 7: Iowa, Kansas, Missouri, Nebraska; Region 8: Colorado, Montana, North Dakota, South Dakota, Utah, Wyoming; Region 9: Arizona, California, Hawaii, Nevada; Region 10: Alaska, Idaho, Oregon, Washington.

Rates were calculated using the population estimates for 2021, which are estimated as of July 1, 2021 based on the Blended Base produced by the US Census Bureau in lieu of the April 1, 2020 decennial population count. The Blended Base consists of the blend of Vintage 2020 postcensal population estimates, 2020 Demographic Analysis Estimates, and 2020 Census PL 94-171 Redistricting File (see https://www2.census.gov/programs-surveys/popest/technical-documentation/methodology/2020-2021/methods-statement-v2021.pdf).

Rates are based on deaths occurring in the specified week/month and are age-adjusted to the 2000 standard population using the direct method (see https://www.cdc.gov/nchs/data/nvsr/nvsr70/nvsr70-08-508.pdf). These rates differ from annual age-adjusted rates, typically presented in NCHS publications based on a full year of data and annualized weekly/monthly age-adjusted rates which have been adjusted to allow comparison with annual rates.  Annualization rates presents deaths per year per 100,000 population that would be expected in a year if the observed period specific (weekly/monthly) rate prevailed for a full year.

Sub-national death counts between 1-9 are suppressed in accordance with NCHS data confidentiality standards. Rates based on death counts less than 20 are suppressed in accordance with NCHS standards of reliability as specified in NCHS Data Presentation Standards for Proportions (available from: https://www.cdc.gov/nchs/data/series/sr_02/sr02_175.pdf.).",,"{'name': 'Provisional COVID-19 death counts, rates, and percent of total deaths, by jurisdiction of residence', 'id': 'mpx5-t7tu', 'description': 'This file contains COVID-19 death counts, death rates, and percent of total deaths by jurisdiction of residence. The data is grouped by different time periods including 3-month period, weekly, and total (cumulative since January 1, 2020). United States death counts and rates include the 50 states, plus the District of Columbia and New York City. New York state estimates exclude New York City. Puerto Rico is included in HHS Region 2 estimates.\n\nDeaths with confirmed or presumed COVID-19, coded to ICD–10 code U07.1. Number of deaths reported in this file are the total number of COVID-19 deaths received and coded as of the date of analysis and may not represent all deaths that occurred in that period. Counts of deaths occurring before or after the reporting period are not included in the file.\n\nData during recent periods are incomplete because of the lag in time between when the death occurred and when the death certificate is completed, submitted to NCHS and processed for reporting purposes. This delay can range from 1 week to 8 weeks or more, depending on the jurisdiction and cause of death.\n\nDeath counts should not be compared across states. Data timeliness varies by state. Some states report deaths on a daily basis, while other states report deaths weekly or monthly. \n\nThe ten (10) United States Department of Health and Human Services (HHS) regions include the following jurisdictions. Region 1: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont; Region 2: New Jersey, New York, New York City, Puerto Rico; Region 3: Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, West Virginia; Region 4: Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee; Region 5: Illinois, Indiana, Michigan, Minnesota, Ohio, Wisconsin; Region 6: Arkansas, Louisiana, New Mexico, Oklahoma, Texas; Region 7: Iowa, Kansas, Missouri, Nebraska; Region 8: Colorado, Montana, North Dakota, South Dakota, Utah, Wyoming; Region 9: Arizona, California, Hawaii, Nevada; Region 10: Alaska, Idaho, Oregon, Washington.\n\nRates were calculated using the population estimates for 2021, which are estimated as of July 1, 2021 based on the Blended Base produced by the US Census Bureau in lieu of the April 1, 2020 decennial population count. The Blended Base consists of the blend of Vintage 2020 postcensal population estimates, 2020 Demographic Analysis Estimates, and 2020 Census PL 94-171 Redistricting File (see https://www2.census.gov/programs-surveys/popest/technical-documentation/methodology/2020-2021/methods-statement-v2021.pdf).\n\nRates are based on deaths occurring in the specified week/month and are age-adjusted to the 2000 standard population using the direct method (see https://www.cdc.gov/nchs/data/nvsr/nvsr70/nvsr70-08-508.pdf). These rates differ from annual age-adjusted rates, typically presented in NCHS publications based on a full year of data and annualized weekly/monthly age-adjusted rates which have been adjusted to allow comparison with annual rates.  Annualization rates presents deaths per year per 100,000 population that would be expected in a year if the observed period specific (weekly/monthly) rate prevailed for a full year.\n\nSub-national death counts between 1-9 are suppressed in accordance with NCHS data confidentiality standards. Rates based on death counts less than 20 are suppressed in accordance with NCHS standards of reliability as specified in NCHS Data Presentation Standards for Proportions (available from: https://www.cdc.gov/nchs/data/series/sr_02/sr02_175.pdf.).', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Provisional-COVID-19-death-counts-rates-and-percen/mpx5-t7tu'}"
Provisional Death Counts for Coronavirus Disease (COVID-19),hc4f-j6nb,hc4f-j6nb_1736708339.739313_Provisional_Death_Counts_for_Coronavirus_Disease__COVID-19__20250112.csv.gz,2025-01-12 18:58:59 UTC,https://data.cdc.gov/NCHS/Provisional-Death-Counts-for-Coronavirus-Disease-C/hc4f-j6nb,"This dataset is no longer updated.  Please see the following datasets for recent data:

Provisional COVID-19 Deaths by Week (https://data.cdc.gov/dataset/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab/)

Provisional COVID-19 Deaths by Sex, Age, and State (https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Sex-Age-and-S/9bhg-hcku)",,"{'name': 'Provisional Death Counts for Coronavirus Disease (COVID-19)', 'id': 'hc4f-j6nb', 'description': 'This dataset is no longer updated.  Please see the following datasets for recent data:\n\nProvisional COVID-19 Deaths by Week (https://data.cdc.gov/dataset/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab/)\n\nProvisional COVID-19 Deaths by Sex, Age, and State (https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Sex-Age-and-S/9bhg-hcku)', 'datatype': 'tabular', 'keywords': ['transportation', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Provisional-Death-Counts-for-Coronavirus-Disease-C/hc4f-j6nb'}"
"Provisional Death Counts for Influenza, Pneumonia, and COVID-19",ynw2-4viq,ynw2-4viq_1736709016.832101_Provisional_Death_Counts_for_Influenza__Pneumonia__and_COVID-19_20250112.csv.gz,2025-01-12 19:10:16 UTC,https://data.cdc.gov/NCHS/Provisional-Death-Counts-for-Influenza-Pneumonia-a/ynw2-4viq,"Deaths counts for influenza, pneumonia, and COVID-19 reported to NCHS by week ending date, by state and HHS region, and age group.",,"{'name': 'Provisional Death Counts for Influenza, Pneumonia, and COVID-19', 'id': 'ynw2-4viq', 'description': 'Deaths counts for influenza, pneumonia, and COVID-19 reported to NCHS by week ending date, by state and HHS region, and age group.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Provisional-Death-Counts-for-Influenza-Pneumonia-a/ynw2-4viq'}"
Provisional Drug Overdose Deaths by Urban/Rural Classification Scheme for 12 month-ending December 2018-December 2020,dtm2-meqi,dtm2-meqi_1736723421.582671_Provisional_Drug_Overdose_Deaths_by_Urban_Rural_Classification_Scheme_for_12_month-ending_December_2018-December_2020_20250112.csv.gz,2025-01-12 23:10:21 UTC,https://data.cdc.gov/NCHS/Provisional-Drug-Overdose-Deaths-by-Urban-Rural-Cl/dtm2-meqi,"National provisional drug overdose deaths by month and 2013 NCHS Urban–Rural Classification Scheme for Counties. Drug overdose deaths are identified using underlying cause-of-death codes from the Tenth Revision of ICD (ICD–10): X40–X44 (unintentional), X60–X64 (suicide), X85 (homicide), and Y10–Y14 (undetermined). Deaths are based on the county of residence in the United States. Death counts provided are for “12-month ending periods,” defined as the number of deaths occurring in the 12-month period ending in the month indicated. Estimates for 2020 are based on provisional data. Estimates for 2018 and 2019 are based on final data.

For more information on NCHS urban-rural classification, see: https://www.cdc.gov/nchs/data/series/sr_02/sr02_166.pdf",,"{'name': 'Provisional Drug Overdose Deaths by Urban/Rural Classification Scheme for 12 month-ending December 2018-December 2020', 'id': 'dtm2-meqi', 'description': 'National provisional drug overdose deaths by month and 2013 NCHS Urban–Rural Classification Scheme for Counties. Drug overdose deaths are identified using underlying cause-of-death codes from the Tenth Revision of ICD (ICD–10): X40–X44 (unintentional), X60–X64 (suicide), X85 (homicide), and Y10–Y14 (undetermined). Deaths are based on the county of residence in the United States. Death counts provided are for “12-month ending periods,” defined as the number of deaths occurring in the 12-month period ending in the month indicated. Estimates for 2020 are based on provisional data. Estimates for 2018 and 2019 are based on final data.\n\nFor more information on NCHS urban-rural classification, see: https://www.cdc.gov/nchs/data/series/sr_02/sr02_166.pdf', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Provisional-Drug-Overdose-Deaths-by-Urban-Rural-Cl/dtm2-meqi'}"
"Provisional Percent of Deaths for COVID-19, Influenza, and RSV",4bc2-bbpq,4bc2-bbpq_1736716844.477468_Provisional_Percent_of_Deaths_for_COVID-19__Influenza__and_RSV_20250112.csv.gz,2025-01-12 21:20:44 UTC,https://data.cdc.gov/NCHS/Provisional-Percent-of-Deaths-for-COVID-19-Influen/4bc2-bbpq,"This file contains the provisional percent of total deaths by week for COVID-19, Influenza, and Respiratory Syncytial Virus for deaths occurring among residents in the United States. Provisional data are based on non-final counts of deaths based on the flow of mortality data in National Vital Statistics System.",,"{'name': 'Provisional Percent of Deaths for COVID-19, Influenza, and RSV', 'id': '4bc2-bbpq', 'description': 'This file contains the provisional percent of total deaths by week for COVID-19, Influenza, and Respiratory Syncytial Virus for deaths occurring among residents in the United States. Provisional data are based on non-final counts of deaths based on the flow of mortality data in National Vital Statistics System.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Provisional-Percent-of-Deaths-for-COVID-19-Influen/4bc2-bbpq'}"
"Provisional Percent of Deaths for COVID-19, Influenza, and RSV by Select Characteristics",53g5-jf7x,53g5-jf7x_1736716373.487685_Provisional_Percent_of_Deaths_for_COVID-19__Influenza__and_RSV_by_Select_Characteristics_20250112.csv.gz,2025-01-12 21:12:53 UTC,https://data.cdc.gov/NCHS/Provisional-Percent-of-Deaths-for-COVID-19-Influen/53g5-jf7x,"This file contains the provisional percent of total deaths by week for COVID-19, Influenza, and Respiratory Syncytial Virus for deaths occurring among residents in the United States, by sex, age group, and race and Hispanic origin. Provisional data are based on non-final counts of deaths based on the flow of mortality data in National Vital Statistics System.",,"{'name': 'Provisional Percent of Deaths for COVID-19, Influenza, and RSV by Select Characteristics', 'id': '53g5-jf7x', 'description': 'This file contains the provisional percent of total deaths by week for COVID-19, Influenza, and Respiratory Syncytial Virus for deaths occurring among residents in the United States, by sex, age group, and race and Hispanic origin. Provisional data are based on non-final counts of deaths based on the flow of mortality data in National Vital Statistics System.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Provisional-Percent-of-Deaths-for-COVID-19-Influen/53g5-jf7x'}"
Provisional drug overdose death counts for specific drugs,8hzs-zshh,8hzs-zshh_1736733937.825001_Provisional_drug_overdose_death_counts_for_specific_drugs_20250113.csv.gz,2025-01-13 02:05:37 UTC,https://data.cdc.gov/NCHS/Provisional-drug-overdose-death-counts-for-specifi/8hzs-zshh,"This data presents counts of provisional drug overdose deaths by selected drugs and U.S. Department of Health and Human Services (HHS) public health regions, based on provisional mortality data from the National Vital Statistics System. This data is limited to drug overdose deaths with an underlying cause of death assigned to International Statistical Classification of Diseases, 10th Revision (ICD-10) code numbers X40-X44 (unintentional), X60-X64 (suicide), X85 (homicide), or Y10-Y14 (undetermined intent). Specific drugs were identified using methods for searching literal text from death certificates. 

The provisional data are based on a current flow of mortality data and include reported 12 month-ending provisional counts of drug overdose deaths by jurisdiction of occurrence and specified drug. Provisional drug overdose death counts presented on this page are for “12-month ending periods,” defined as the number of deaths occurring in the 12-month period ending in the month indicated. For example, the 12-month ending period in June 2022 would include deaths occurring from July 1, 2021, through June 30, 2022. Evaluation of trends over time should compare estimates from year to year (June 2021 and June 2022), rather than month to month, to avoid overlapping time periods. It is important to note that the data represent counts of deaths, and not mortality ratios or rates, which are the standard measure used to compare groups, and therefore should not be used to determine populations at disproportionate risk of drug overdose death.",,"{'name': 'Provisional drug overdose death counts for specific drugs', 'id': '8hzs-zshh', 'description': 'This data presents counts of provisional drug overdose deaths by selected drugs and U.S. Department of Health and Human Services (HHS) public health regions, based on provisional mortality data from the National Vital Statistics System. This data is limited to drug overdose deaths with an underlying cause of death assigned to International Statistical Classification of Diseases, 10th Revision (ICD-10) code numbers X40-X44 (unintentional), X60-X64 (suicide), X85 (homicide), or Y10-Y14 (undetermined intent). Specific drugs were identified using methods for searching literal text from death certificates. \n\nThe provisional data are based on a current flow of mortality data and include reported 12 month-ending provisional counts of drug overdose deaths by jurisdiction of occurrence and specified drug. Provisional drug overdose death counts presented on this page are for “12-month ending periods,” defined as the number of deaths occurring in the 12-month period ending in the month indicated. For example, the 12-month ending period in June 2022 would include deaths occurring from July 1, 2021, through June 30, 2022. Evaluation of trends over time should compare estimates from year to year (June 2021 and June 2022), rather than month to month, to avoid overlapping time periods. It is important to note that the data represent counts of deaths, and not mortality ratios or rates, which are the standard measure used to compare groups, and therefore should not be used to determine populations at disproportionate risk of drug overdose death.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Provisional-drug-overdose-death-counts-for-specifi/8hzs-zshh'}"
Question Inventory on Tobacco (QIT),vdgb-f9s3,vdgb-f9s3_1736710065.758325_Question_Inventory_on_Tobacco__QIT__20250112.csv.gz,2025-01-12 19:27:45 UTC,https://data.cdc.gov/Survey-Questions-Tobacco-Use-/Question-Inventory-on-Tobacco-QIT-/vdgb-f9s3,"1965, 1966, 1970, 1974-2015, 2017. Centers for Disease Control and Prevention (CDC). Office on Smoking and Health (OSH). Survey Questions (Tobacco Use). The QIT is a compilation of more than 7,000 historical tobacco-related survey questions from various state, national and international surveys.",,"{'name': 'Question Inventory on Tobacco (QIT)', 'id': 'vdgb-f9s3', 'description': '1965, 1966, 1970, 1974-2015, 2017. Centers for Disease Control and Prevention (CDC). Office on Smoking and Health (OSH). Survey Questions (Tobacco Use). The QIT is a compilation of more than 7,000 historical tobacco-related survey questions from various state, national and international surveys.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Survey-Questions-Tobacco-Use-/Question-Inventory-on-Tobacco-QIT-/vdgb-f9s3'}"
Quitline – 7-Month Follow-Up (Not Comparable Across States) – 2010-2011,7dvv-y64a,7dvv-y64a_1736722990.381765_Quitline___7-Month_Follow-Up__Not_Comparable_Across_States____2010-2011_20250112.csv.gz,2025-01-12 23:03:10 UTC,https://data.cdc.gov/Quitline/Quitline-7-Month-Follow-Up-Not-Comparable-Across-S/7dvv-y64a,"2010-2011.  National Quitline Data Warehouse (NQDW). State Tobacco Activities Tracking and Evaluation (STATE) System.  NQDW Data.  National Quitline Data Warehouse (NQDW) assists in evaluating quitline activities and serves as a national resource for data on the use, success, and services of state quitlines.  States report data on quitline callers, quitting success, as well as the services provided by their quitlines. The NQDW consolidates this information for evaluating programs and improving quitline services.  The jurisdictions participating in this data collection effort include the 50 states, the District of Columbia, Guam and Puerto Rico.",,"{'name': 'Quitline – 7-Month Follow-Up (Not Comparable Across States) – 2010-2011', 'id': '7dvv-y64a', 'description': '2010-2011.  National Quitline Data Warehouse (NQDW). State Tobacco Activities Tracking and Evaluation (STATE) System.  NQDW Data.  National Quitline Data Warehouse (NQDW) assists in evaluating quitline activities and serves as a national resource for data on the use, success, and services of state quitlines.  States report data on quitline callers, quitting success, as well as the services provided by their quitlines. The NQDW consolidates this information for evaluating programs and improving quitline services.  The jurisdictions participating in this data collection effort include the 50 states, the District of Columbia, Guam and Puerto Rico.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Quitline/Quitline-7-Month-Follow-Up-Not-Comparable-Across-S/7dvv-y64a'}"
Quitline – Quitline Names and Phone Numbers,tid6-xphm,tid6-xphm_1736722963.484596_Quitline___Quitline_Names_and_Phone_Numbers_20250112.csv.gz,2025-01-12 23:02:43 UTC,https://data.cdc.gov/Quitline/Quitline-Quitline-Names-and-Phone-Numbers/tid6-xphm,"2010-2020.  National Quitline Data Warehouse (NQDW). State Tobacco Activities Tracking and Evaluation (STATE) System.  NQDW Data.  National Quitline Data Warehouse (NQDW) assists in evaluating quitline activities and serves as a national resource for data on the use, success, and services of state quitlines.  States report data on quitline callers, quitting success, as well as the services provided by their quitlines. The NQDW consolidates this information for evaluating programs and improving quitline services.  The jurisdictions participating in this data collection effort include the 50 states, the District of Columbia, Guam and Puerto Rico.",,"{'name': 'Quitline – Quitline Names and Phone Numbers', 'id': 'tid6-xphm', 'description': '2010-2020.  National Quitline Data Warehouse (NQDW). State Tobacco Activities Tracking and Evaluation (STATE) System.  NQDW Data.  National Quitline Data Warehouse (NQDW) assists in evaluating quitline activities and serves as a national resource for data on the use, success, and services of state quitlines.  States report data on quitline callers, quitting success, as well as the services provided by their quitlines. The NQDW consolidates this information for evaluating programs and improving quitline services.  The jurisdictions participating in this data collection effort include the 50 states, the District of Columbia, Guam and Puerto Rico.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Quitline/Quitline-Quitline-Names-and-Phone-Numbers/tid6-xphm'}"
Quitline – Service Utilization - 2010 To Present,equ4-92qe,equ4-92qe_1736715439.883025_Quitline___Service_Utilization_-_2010_To_Present_20250112.csv.gz,2025-01-12 20:57:19 UTC,https://data.cdc.gov/Quitline/Quitline-Service-Utilization-2010-To-Present/equ4-92qe,"2010-2020.  National Quitline Data Warehouse (NQDW). State Tobacco Activities Tracking and Evaluation (STATE) System.  NQDW Data.  National Quitline Data Warehouse (NQDW) assists in evaluating quitline activities and serves as a national resource for data on the use, success, and services of state quitlines.  States report data on quitline callers, quitting success, as well as the services provided by their quitlines. The NQDW consolidates this information for evaluating programs and improving quitline services.  The jurisdictions participating in this data collection effort include the 50 states, the District of Columbia, Guam and Puerto Rico.",,"{'name': 'Quitline – Service Utilization - 2010 To Present', 'id': 'equ4-92qe', 'description': '2010-2020.  National Quitline Data Warehouse (NQDW). State Tobacco Activities Tracking and Evaluation (STATE) System.  NQDW Data.  National Quitline Data Warehouse (NQDW) assists in evaluating quitline activities and serves as a national resource for data on the use, success, and services of state quitlines.  States report data on quitline callers, quitting success, as well as the services provided by their quitlines. The NQDW consolidates this information for evaluating programs and improving quitline services.  The jurisdictions participating in this data collection effort include the 50 states, the District of Columbia, Guam and Puerto Rico.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Quitline/Quitline-Service-Utilization-2010-To-Present/equ4-92qe'}"
Quitline – Services Available – Counseling - 2010 To Present,66cx-b9a4,66cx-b9a4_1736721130.631079_Quitline___Services_Available___Counseling_-_2010_To_Present_20250112.csv.gz,2025-01-12 22:32:10 UTC,https://data.cdc.gov/Quitline/Quitline-Services-Available-Counseling-2010-To-Pre/66cx-b9a4,"2010-2020.  National Quitline Data Warehouse (NQDW). State Tobacco Activities Tracking and Evaluation (STATE) System.  NQDW Data.  National Quitline Data Warehouse (NQDW) assists in evaluating quitline activities and serves as a national resource for data on the use, success, and services of state quitlines.  States report data on quitline callers, quitting success, as well as the services provided by their quitlines. The NQDW consolidates this information for evaluating programs and improving quitline services.  The jurisdictions participating in this data collection effort include the 50 states, the District of Columbia, Guam and Puerto Rico.",,"{'name': 'Quitline – Services Available – Counseling - 2010 To Present', 'id': '66cx-b9a4', 'description': '2010-2020.  National Quitline Data Warehouse (NQDW). State Tobacco Activities Tracking and Evaluation (STATE) System.  NQDW Data.  National Quitline Data Warehouse (NQDW) assists in evaluating quitline activities and serves as a national resource for data on the use, success, and services of state quitlines.  States report data on quitline callers, quitting success, as well as the services provided by their quitlines. The NQDW consolidates this information for evaluating programs and improving quitline services.  The jurisdictions participating in this data collection effort include the 50 states, the District of Columbia, Guam and Puerto Rico.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Quitline/Quitline-Services-Available-Counseling-2010-To-Pre/66cx-b9a4'}"
Quitline – Services Available – Hours Of Operation And Available Languages - 2010 To Present,vtt8-av2v,vtt8-av2v_1736719668.497247_Quitline___Services_Available___Hours_Of_Operation_And_Available_Languages_-_2010_To_Present_20250112.csv.gz,2025-01-12 22:07:48 UTC,https://data.cdc.gov/Quitline/Quitline-Services-Available-Hours-Of-Operation-And/vtt8-av2v,"2010-2020.  National Quitline Data Warehouse (NQDW). State Tobacco Activities Tracking and Evaluation (STATE) System.  NQDW Data.  National Quitline Data Warehouse (NQDW) assists in evaluating quitline activities and serves as a national resource for data on the use, success, and services of state quitlines.  States report data on quitline callers, quitting success, as well as the services provided by their quitlines. The NQDW consolidates this information for evaluating programs and improving quitline services.  The jurisdictions participating in this data collection effort include the 50 states, the District of Columbia, Guam and Puerto Rico.","<https://data.cdc.gov/Quitline/Quitline-Services-Available-Hours-Of-Operation-And/vtt8-av2v>; rel=""original"",
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<http://web.archive.org/web/20241125130343/https://data.cdc.gov/Quitline/Quitline-Services-Available-Hours-Of-Operation-And/vtt8-av2v>; rel=""memento""; datetime=""Mon, 25 Nov 2024 13:03:43 GMT"",
<http://web.archive.org/web/20241128035730/https://data.cdc.gov/Quitline/Quitline-Services-Available-Hours-Of-Operation-And/vtt8-av2v>; rel=""memento""; datetime=""Thu, 28 Nov 2024 03:57:30 GMT"",
<http://web.archive.org/web/20241128172337/https://data.cdc.gov/Quitline/Quitline-Services-Available-Hours-Of-Operation-And/vtt8-av2v>; rel=""memento""; datetime=""Thu, 28 Nov 2024 17:23:37 GMT"",
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<http://web.archive.org/web/20250206061352/https://data.cdc.gov/Quitline/Quitline-Services-Available-Hours-Of-Operation-And/vtt8-av2v>; rel=""memento""; datetime=""Thu, 06 Feb 2025 06:13:52 GMT"",
<http://web.archive.org/web/20250206061353/https://data.cdc.gov/Quitline/Quitline-Services-Available-Hours-Of-Operation-And/vtt8-av2v>; rel=""memento""; datetime=""Thu, 06 Feb 2025 06:13:53 GMT"",
<http://web.archive.org/web/20250208114152/https://data.cdc.gov/Quitline/Quitline-Services-Available-Hours-Of-Operation-And/vtt8-av2v>; rel=""memento""; datetime=""Sat, 08 Feb 2025 11:41:52 GMT""
","{'name': 'Quitline – Services Available – Hours Of Operation And Available Languages - 2010 To Present', 'id': 'vtt8-av2v', 'description': '2010-2020.  National Quitline Data Warehouse (NQDW). State Tobacco Activities Tracking and Evaluation (STATE) System.  NQDW Data.  National Quitline Data Warehouse (NQDW) assists in evaluating quitline activities and serves as a national resource for data on the use, success, and services of state quitlines.  States report data on quitline callers, quitting success, as well as the services provided by their quitlines. The NQDW consolidates this information for evaluating programs and improving quitline services.  The jurisdictions participating in this data collection effort include the 50 states, the District of Columbia, Guam and Puerto Rico.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Quitline/Quitline-Services-Available-Hours-Of-Operation-And/vtt8-av2v'}"
Quitline – Services Available – Medications - 2010 To Present,tbyb-bvjd,tbyb-bvjd_1736715213.308425_Quitline___Services_Available___Medications_-_2010_To_Present_20250112.csv.gz,2025-01-12 20:53:33 UTC,https://data.cdc.gov/Quitline/Quitline-Services-Available-Medications-2010-To-Pr/tbyb-bvjd,"2010-2020.  National Quitline Data Warehouse (NQDW). State Tobacco Activities Tracking and Evaluation (STATE) System.  NQDW Data.  National Quitline Data Warehouse (NQDW) assists in evaluating quitline activities and serves as a national resource for data on the use, success, and services of state quitlines.  States report data on quitline callers, quitting success, as well as the services provided by their quitlines. The NQDW consolidates this information for evaluating programs and improving quitline services.  The jurisdictions participating in this data collection effort include the 50 states, the District of Columbia, Guam and Puerto Rico.",,"{'name': 'Quitline – Services Available – Medications - 2010 To Present', 'id': 'tbyb-bvjd', 'description': '2010-2020.  National Quitline Data Warehouse (NQDW). State Tobacco Activities Tracking and Evaluation (STATE) System.  NQDW Data.  National Quitline Data Warehouse (NQDW) assists in evaluating quitline activities and serves as a national resource for data on the use, success, and services of state quitlines.  States report data on quitline callers, quitting success, as well as the services provided by their quitlines. The NQDW consolidates this information for evaluating programs and improving quitline services.  The jurisdictions participating in this data collection effort include the 50 states, the District of Columbia, Guam and Puerto Rico.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Quitline/Quitline-Services-Available-Medications-2010-To-Pr/tbyb-bvjd'}"
Race and Ethnic Disparities in Cigarette Smoking Among Adults,4ntf-u76j,4ntf-u76j_1736738590.381119_Race_and_Ethnic_Disparities_in_Cigarette_Smoking_Among_Adults_20250113.csv.gz,2025-01-13 03:23:10 UTC,https://data.cdc.gov/Survey-Data/Race-and-Ethnic-Disparities-in-Cigarette-Smoking-A/4ntf-u76j,"2011–2023. The tobacco disparities dashboard data utilized the Behavioral Risk Factor Surveillance System (BRFSS) data to measure the cigarette smoking disparities by race and ethnicity. The disparity value is the relative difference in the cigarette smoking prevalence among adults 18 and older in a focus group divided by the cigarette smoking prevalence among adults 18 and older in a reference group. A disparity value above 1 indicates that adults in the focus group smoke cigarettes at a higher rate, as reflected by the disparity value, compared with the rate among adults in the reference group who smoke cigarettes. A disparity value below 1 indicates that adults in the focus group smoke cigarettes at a lower rate, as reflected by the disparity value, compared with the rate among adults in the reference group who smoke cigarettes. A disparity value of 1 means there is no relative difference in the rate of adults who smoke cigarettes for the two groups compared.",,"{'name': 'Race and Ethnic Disparities in Cigarette Smoking Among Adults', 'id': '4ntf-u76j', 'description': '2011–2023. The tobacco disparities dashboard data utilized the Behavioral Risk Factor Surveillance System (BRFSS) data to measure the cigarette smoking disparities by race and ethnicity. The disparity value is the relative difference in the cigarette smoking prevalence among adults 18 and older in a focus group divided by the cigarette smoking prevalence among adults 18 and older in a reference group. A disparity value above 1 indicates that adults in the focus group smoke cigarettes at a higher rate, as reflected by the disparity value, compared with the rate among adults in the reference group who smoke cigarettes. A disparity value below 1 indicates that adults in the focus group smoke cigarettes at a lower rate, as reflected by the disparity value, compared with the rate among adults in the reference group who smoke cigarettes. A disparity value of 1 means there is no relative difference in the rate of adults who smoke cigarettes for the two groups compared.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Survey-Data/Race-and-Ethnic-Disparities-in-Cigarette-Smoking-A/4ntf-u76j'}"
"Rates and Trends in Heart Disease and Stroke Mortality Among US Adults (35+) by County, Age Group, Race/Ethnicity, and Sex – 2000-2019",7b9s-s8ck,7b9s-s8ck_1736719830.476696_Rates_and_Trends_in_Heart_Disease_and_Stroke_Mortality_Among_US_Adults__35___by_County__Age_Group__Race_Ethnicity__and_Sex___2000-2019_20250112.csv.gz,2025-01-12 22:10:30 UTC,https://data.cdc.gov/Heart-Disease-Stroke-Prevention/Rates-and-Trends-in-Heart-Disease-and-Stroke-Morta/7b9s-s8ck,"This dataset documents rates and trends in heart disease and stroke mortality. Specifically, this report presents county (or county equivalent) estimates of heart disease and stroke death rates in 2000-2019 and trends during two intervals (2000-2010, 2010-2019) by age group (ages 35–64 years, ages 65 years and older), race/ethnicity (non-Hispanic American Indian/Alaska Native, non-Hispanic Asian/Pacific Islander, non-Hispanic Black, Hispanic, non-Hispanic White), and sex (women, men). The rates and trends were estimated using a Bayesian spatiotemporal model and a smoothed over space, time, and demographic group. Rates are age-standardized in 10-year age groups using the 2010 US population. Data source: National Vital Statistics System.",,"{'name': 'Rates and Trends in Heart Disease and Stroke Mortality Among US Adults (35+) by County, Age Group, Race/Ethnicity, and Sex – 2000-2019', 'id': '7b9s-s8ck', 'description': 'This dataset documents rates and trends in heart disease and stroke mortality. Specifically, this report presents county (or county equivalent) estimates of heart disease and stroke death rates in 2000-2019 and trends during two intervals (2000-2010, 2010-2019) by age group (ages 35–64 years, ages 65 years and older), race/ethnicity (non-Hispanic American Indian/Alaska Native, non-Hispanic Asian/Pacific Islander, non-Hispanic Black, Hispanic, non-Hispanic White), and sex (women, men). The rates and trends were estimated using a Bayesian spatiotemporal model and a smoothed over space, time, and demographic group. Rates are age-standardized in 10-year age groups using the 2010 US population. Data source: National Vital Statistics System.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Heart-Disease-Stroke-Prevention/Rates-and-Trends-in-Heart-Disease-and-Stroke-Morta/7b9s-s8ck'}"
"Rates and Trends in Hypertension-related Cardiovascular Disease Mortality Among US Adults (35+) by County, Age Group, Race/Ethnicity, and Sex – 2000-2019",uc9k-vc2j,uc9k-vc2j_1736724307.568182_Rates_and_Trends_in_Hypertension-related_Cardiovascular_Disease_Mortality_Among_US_Adults__35___by_County__Age_Group__Race_Ethnicity__and_Sex___2000-2019_20250112.csv.gz,2025-01-12 23:25:07 UTC,https://data.cdc.gov/Heart-Disease-Stroke-Prevention/Rates-and-Trends-in-Hypertension-related-Cardiovas/uc9k-vc2j,"This dataset documents rates and trends in local hypertension-related cardiovascular disease (CVD) death rates. Specifically, this report presents county (or county equivalent) estimates of hypertension-related CVD death rates in 2000-2019 and trends during two intervals (2000-2010, 2010-2019) by age group (ages 35–64 years, ages 65 years and older), race/ethnicity (non-Hispanic American Indian/Alaska Native, non-Hispanic Asian/Pacific Islander, non-Hispanic Black, Hispanic, non-Hispanic White), and sex (female, male). The rates and trends were estimated using a Bayesian spatiotemporal model and a smoothed over space, time, and demographic group. Rates are age-standardized in 10-year age groups using the 2010 US population. Data source: National Vital Statistics System.",,"{'name': 'Rates and Trends in Hypertension-related Cardiovascular Disease Mortality Among US Adults (35+) by County, Age Group, Race/Ethnicity, and Sex – 2000-2019', 'id': 'uc9k-vc2j', 'description': 'This dataset documents rates and trends in local hypertension-related cardiovascular disease (CVD) death rates. Specifically, this report presents county (or county equivalent) estimates of hypertension-related CVD death rates in 2000-2019 and trends during two intervals (2000-2010, 2010-2019) by age group (ages 35–64 years, ages 65 years and older), race/ethnicity (non-Hispanic American Indian/Alaska Native, non-Hispanic Asian/Pacific Islander, non-Hispanic Black, Hispanic, non-Hispanic White), and sex (female, male). The rates and trends were estimated using a Bayesian spatiotemporal model and a smoothed over space, time, and demographic group. Rates are age-standardized in 10-year age groups using the 2010 US population. Data source: National Vital Statistics System.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Heart-Disease-Stroke-Prevention/Rates-and-Trends-in-Hypertension-related-Cardiovas/uc9k-vc2j'}"
Rates of COVID-19 Cases or Deaths by Age Group and Updated (Bivalent) Booster Status,54ys-qyzm,54ys-qyzm_1736710728.972227_Rates_of_COVID-19_Cases_or_Deaths_by_Age_Group_and_Updated__Bivalent__Booster_Status_20250112.csv.gz,2025-01-12 19:38:48 UTC,https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/54ys-qyzm,"Data for CDC’s COVID Data Tracker site on Rates of COVID-19 Cases and Deaths by Updated (Bivalent) Booster Status.
Click 'More' for important dataset description and footnotes

Webpage: https://covid.cdc.gov/covid-data-tracker/#rates-by-vaccine-status

Dataset and data visualization details:


These data were posted and archived on May 30, 2023 and reflect cases among persons with a positive specimen collection date through April 22, 2023, and deaths among persons with a positive specimen collection date through April 1, 2023. These data will no longer be updated after May 2023.

Vaccination status: A person vaccinated with at least a primary series had SARS-CoV-2 RNA or antigen detected on a respiratory specimen collected ≥14 days after verifiably completing the primary series of an FDA-authorized or approved COVID-19 vaccine. An unvaccinated person had SARS-CoV-2 RNA or antigen detected on a respiratory specimen and has not been verified to have received COVID-19 vaccine. Excluded were partially vaccinated people who received at least one FDA-authorized vaccine dose but did not complete a primary series ≥14 days before collection of a specimen where SARS-CoV-2 RNA or antigen was detected. A person vaccinated with a primary series and a monovalent booster dose had SARS-CoV-2 RNA or antigen detected on a respiratory specimen collected ≥14 days after verifiably receiving a primary series of an FDA-authorized or approved vaccine and at least one additional dose of any monovalent FDA-authorized or approved COVID-19 vaccine on or after August 13, 2021. (Note: this definition does not distinguish between vaccine recipients who are immunocompromised and are receiving an additional dose versus those who are not immunocompromised and receiving a booster dose.) A person vaccinated with a primary series and an updated (bivalent) booster dose had SARS-CoV-2 RNA or antigen detected in a respiratory specimen collected ≥14 days after verifiably receiving a primary series of an FDA-authorized or approved vaccine and an additional dose of any bivalent FDA-authorized or approved vaccine COVID-19 vaccine on or after September 1, 2022. (Note: Doses with bivalent doses reported as first or second doses are classified as vaccinated with a bivalent booster dose.) People with primary series or a monovalent booster dose were combined in the “vaccinated without an updated booster” category. 

Deaths: A COVID-19–associated death occurred in a person with a documented COVID-19 diagnosis who died; health department staff reviewed to make a determination using vital records, public health investigation, or other data sources. Per the interim guidance of the Council of State and Territorial Epidemiologists (CSTE), this should include persons whose death certificate lists COVID-19 disease or SARS-CoV-2 as the underlying cause of death or as a significant condition contributing to death. Rates of COVID-19 deaths by vaccination status are primarily reported based on when the patient was tested for COVID-19. In select jurisdictions, deaths are included that are not laboratory confirmed and are reported based on alternative dates (i.e., onset date for most; or date of death or report date, where onset date is unavailable). Deaths usually occur up to 30 days after COVID-19 diagnosis.

Participating jurisdictions: Currently, these 24 health departments that regularly link their case surveillance to immunization information system data are included in these incidence rate estimates: Alabama, Arizona, Colorado, District of Columbia, Georgia, Idaho, Indiana, Kansas, Kentucky, Louisiana, Massachusetts, Michigan, Minnesota, Nebraska, New Jersey, New Mexico, New York, New York City (NY), North Carolina, Rhode Island, Tennessee, Texas, Utah, and West Virginia; 23 jurisdictions also report deaths among vaccinated and unvaccinated people. These jurisdictions represent 48% of the total U.S. population and all ten of the Health and Human Services Regions. This list will be",,"{'name': 'Rates of COVID-19 Cases or Deaths by Age Group and Updated (Bivalent) Booster Status', 'id': '54ys-qyzm', 'description': ""Data for CDC’s COVID Data Tracker site on Rates of COVID-19 Cases and Deaths by Updated (Bivalent) Booster Status.\nClick 'More' for important dataset description and footnotes\n\nWebpage: https://covid.cdc.gov/covid-data-tracker/#rates-by-vaccine-status\n\nDataset and data visualization details:\n\n\nThese data were posted and archived on May 30, 2023 and reflect cases among persons with a positive specimen collection date through April 22, 2023, and deaths among persons with a positive specimen collection date through April 1, 2023. These data will no longer be updated after May 2023.\n\nVaccination status: A person vaccinated with at least a primary series had SARS-CoV-2 RNA or antigen detected on a respiratory specimen collected ≥14 days after verifiably completing the primary series of an FDA-authorized or approved COVID-19 vaccine. An unvaccinated person had SARS-CoV-2 RNA or antigen detected on a respiratory specimen and has not been verified to have received COVID-19 vaccine. Excluded were partially vaccinated people who received at least one FDA-authorized vaccine dose but did not complete a primary series ≥14 days before collection of a specimen where SARS-CoV-2 RNA or antigen was detected. A person vaccinated with a primary series and a monovalent booster dose had SARS-CoV-2 RNA or antigen detected on a respiratory specimen collected ≥14 days after verifiably receiving a primary series of an FDA-authorized or approved vaccine and at least one additional dose of any monovalent FDA-authorized or approved COVID-19 vaccine on or after August 13, 2021. (Note: this definition does not distinguish between vaccine recipients who are immunocompromised and are receiving an additional dose versus those who are not immunocompromised and receiving a booster dose.) A person vaccinated with a primary series and an updated (bivalent) booster dose had SARS-CoV-2 RNA or antigen detected in a respiratory specimen collected ≥14 days after verifiably receiving a primary series of an FDA-authorized or approved vaccine and an additional dose of any bivalent FDA-authorized or approved vaccine COVID-19 vaccine on or after September 1, 2022. (Note: Doses with bivalent doses reported as first or second doses are classified as vaccinated with a bivalent booster dose.) People with primary series or a monovalent booster dose were combined in the “vaccinated without an updated booster” category. \n\nDeaths: A COVID-19–associated death occurred in a person with a documented COVID-19 diagnosis who died; health department staff reviewed to make a determination using vital records, public health investigation, or other data sources. Per the interim guidance of the Council of State and Territorial Epidemiologists (CSTE), this should include persons whose death certificate lists COVID-19 disease or SARS-CoV-2 as the underlying cause of death or as a significant condition contributing to death. Rates of COVID-19 deaths by vaccination status are primarily reported based on when the patient was tested for COVID-19. In select jurisdictions, deaths are included that are not laboratory confirmed and are reported based on alternative dates (i.e., onset date for most; or date of death or report date, where onset date is unavailable). Deaths usually occur up to 30 days after COVID-19 diagnosis.\n\nParticipating jurisdictions: Currently, these 24 health departments that regularly link their case surveillance to immunization information system data are included in these incidence rate estimates: Alabama, Arizona, Colorado, District of Columbia, Georgia, Idaho, Indiana, Kansas, Kentucky, Louisiana, Massachusetts, Michigan, Minnesota, Nebraska, New Jersey, New Mexico, New York, New York City (NY), North Carolina, Rhode Island, Tennessee, Texas, Utah, and West Virginia; 23 jurisdictions also report deaths among vaccinated and unvaccinated people. These jurisdictions represent 48% of the total U.S. population and all ten of the Health and Human Services Regions. This list will be"", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/54ys-qyzm'}"
Rates of COVID-19 Cases or Deaths by Age Group and Vaccination Status,3rge-nu2a,3rge-nu2a_1736707216.847839_Rates_of_COVID-19_Cases_or_Deaths_by_Age_Group_and_Vaccination_Status_20250112.csv.gz,2025-01-12 18:40:16 UTC,https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a,"Data for CDC’s COVID Data Tracker site on Rates of COVID-19 Cases and Deaths by Vaccination Status.
Click 'More' for important dataset description and footnotes

Dataset and data visualization details:
These data were posted on October 21, 2022, archived on November 18, 2022, and revised on February 22, 2023. These data reflect cases among persons with a positive specimen collection date through September 24, 2022, and deaths among persons with a positive specimen collection date through September 3, 2022. 

Vaccination status: A person vaccinated with a primary series had SARS-CoV-2 RNA or antigen detected on a respiratory specimen collected ≥14 days after verifiably completing the primary series of an FDA-authorized or approved COVID-19 vaccine. An unvaccinated person had SARS-CoV-2 RNA or antigen detected on a respiratory specimen and has not been verified to have received COVID-19 vaccine. Excluded were partially vaccinated people who received at least one FDA-authorized vaccine dose but did not complete a primary series ≥14 days before collection of a specimen where SARS-CoV-2 RNA or antigen was detected.
Additional or booster dose: A person vaccinated with a primary series and an additional or booster dose had SARS-CoV-2 RNA or antigen detected on a respiratory specimen collected ≥14 days after receipt of an additional or booster dose of any COVID-19 vaccine on or after August 13, 2021. For people ages 18 years and older, data are graphed starting the week including September 24, 2021, when a COVID-19 booster dose was first recommended by CDC for adults 65+ years old and people in certain populations and high risk occupational and institutional settings. For people ages 12-17 years, data are graphed starting the week of December 26, 2021, 2 weeks after the first recommendation for a booster dose for adolescents ages 16-17 years. For people ages 5-11 years, data are included starting the week of June 5, 2022, 2 weeks after the first recommendation for a booster dose for children aged 5-11 years. For people ages 50 years and older, data on second booster doses are graphed starting the week including March 29, 2022, when the recommendation was made for second boosters. Vertical lines represent dates when changes occurred in U.S. policy for COVID-19 vaccination (details provided above). Reporting is by primary series vaccine type rather than additional or booster dose vaccine type. The booster dose vaccine type may be different than the primary series vaccine type. 
** Because data on the immune status of cases and associated deaths are unavailable, an additional dose in an immunocompromised person cannot be distinguished from a booster dose. This is a relevant consideration because vaccines can be less effective in this group.
Deaths: A COVID-19–associated death occurred in a person with a documented COVID-19 diagnosis who died; health department staff reviewed to make a determination using vital records, public health investigation, or other data sources. Rates of COVID-19 deaths by vaccination status are reported based on when the patient was tested for COVID-19, not the date they died. Deaths usually occur up to 30 days after COVID-19 diagnosis.
Participating jurisdictions: Currently, these 31 health departments that regularly link their case surveillance to immunization information system data are included in these incidence rate estimates: Alabama, Arizona, Arkansas, California, Colorado, Connecticut, District of Columbia, Florida, Georgia, Idaho, Indiana, Kansas, Kentucky, Louisiana, Massachusetts, Michigan, Minnesota, Nebraska, New Jersey, New Mexico, New York, New York City (New York), North Carolina, Philadelphia (Pennsylvania), Rhode Island, South Dakota, Tennessee, Texas, Utah, Washington, and West Virginia; 30 jurisdictions also report deaths among vaccinated and unvaccinated people. These jurisdictions represent 72% of the total U.S. population and all ten of the Health and Human Services Regions. Data on cases","<https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""original"",
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<http://web.archive.org/web/20211111024827/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Thu, 11 Nov 2021 02:48:27 GMT"",
<http://web.archive.org/web/20211113104537/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sat, 13 Nov 2021 10:45:37 GMT"",
<http://web.archive.org/web/20211123063315/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Tue, 23 Nov 2021 06:33:15 GMT"",
<http://web.archive.org/web/20211123203926/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Tue, 23 Nov 2021 20:39:26 GMT"",
<http://web.archive.org/web/20211123211941/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Tue, 23 Nov 2021 21:19:41 GMT"",
<http://web.archive.org/web/20211124021230/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Wed, 24 Nov 2021 02:12:30 GMT"",
<http://web.archive.org/web/20211125014222/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Thu, 25 Nov 2021 01:42:22 GMT"",
<http://web.archive.org/web/20211125165446/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Thu, 25 Nov 2021 16:54:46 GMT"",
<http://web.archive.org/web/20211126192607/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Fri, 26 Nov 2021 19:26:07 GMT"",
<http://web.archive.org/web/20211127181232/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sat, 27 Nov 2021 18:12:32 GMT"",
<http://web.archive.org/web/20211128072105/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sun, 28 Nov 2021 07:21:05 GMT"",
<http://web.archive.org/web/20211129180356/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Mon, 29 Nov 2021 18:03:56 GMT"",
<http://web.archive.org/web/20211130143125/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Tue, 30 Nov 2021 14:31:25 GMT"",
<http://web.archive.org/web/20211202225055/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Thu, 02 Dec 2021 22:50:55 GMT"",
<http://web.archive.org/web/20211203171817/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Fri, 03 Dec 2021 17:18:17 GMT"",
<http://web.archive.org/web/20211204203118/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sat, 04 Dec 2021 20:31:18 GMT"",
<http://web.archive.org/web/20211204221554/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sat, 04 Dec 2021 22:15:54 GMT"",
<http://web.archive.org/web/20211205175842/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sun, 05 Dec 2021 17:58:42 GMT"",
<http://web.archive.org/web/20211207123639/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Tue, 07 Dec 2021 12:36:39 GMT"",
<http://web.archive.org/web/20211208040354/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Wed, 08 Dec 2021 04:03:54 GMT"",
<http://web.archive.org/web/20211208155038/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Wed, 08 Dec 2021 15:50:38 GMT"",
<http://web.archive.org/web/20211210205237/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Fri, 10 Dec 2021 20:52:37 GMT"",
<http://web.archive.org/web/20211211040618/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sat, 11 Dec 2021 04:06:18 GMT"",
<http://web.archive.org/web/20211218195041/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sat, 18 Dec 2021 19:50:41 GMT"",
<http://web.archive.org/web/20211223031923/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Thu, 23 Dec 2021 03:19:23 GMT"",
<http://web.archive.org/web/20211224012452/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Fri, 24 Dec 2021 01:24:52 GMT"",
<http://web.archive.org/web/20211224210643/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Fri, 24 Dec 2021 21:06:43 GMT"",
<http://web.archive.org/web/20211225030340/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sat, 25 Dec 2021 03:03:40 GMT"",
<http://web.archive.org/web/20211225092109/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sat, 25 Dec 2021 09:21:09 GMT"",
<http://web.archive.org/web/20211225161016/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sat, 25 Dec 2021 16:10:16 GMT"",
<http://web.archive.org/web/20211226112607/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sun, 26 Dec 2021 11:26:07 GMT"",
<http://web.archive.org/web/20211227060136/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Mon, 27 Dec 2021 06:01:36 GMT"",
<http://web.archive.org/web/20211227114513/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Mon, 27 Dec 2021 11:45:13 GMT"",
<http://web.archive.org/web/20211227173820/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Mon, 27 Dec 2021 17:38:20 GMT"",
<http://web.archive.org/web/20211228012027/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Tue, 28 Dec 2021 01:20:27 GMT"",
<http://web.archive.org/web/20211228154028/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Tue, 28 Dec 2021 15:40:28 GMT"",
<http://web.archive.org/web/20211228222445/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Tue, 28 Dec 2021 22:24:45 GMT"",
<http://web.archive.org/web/20211228222945/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Tue, 28 Dec 2021 22:29:45 GMT"",
<http://web.archive.org/web/20211229034822/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Wed, 29 Dec 2021 03:48:22 GMT"",
<http://web.archive.org/web/20211229080503/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Wed, 29 Dec 2021 08:05:03 GMT"",
<http://web.archive.org/web/20211229082022/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Wed, 29 Dec 2021 08:20:22 GMT"",
<http://web.archive.org/web/20220101065912/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sat, 01 Jan 2022 06:59:12 GMT"",
<http://web.archive.org/web/20220115134300/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sat, 15 Jan 2022 13:43:00 GMT"",
<http://web.archive.org/web/20220121203835/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Fri, 21 Jan 2022 20:38:35 GMT"",
<http://web.archive.org/web/20220122072030/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sat, 22 Jan 2022 07:20:30 GMT"",
<http://web.archive.org/web/20220123173759/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sun, 23 Jan 2022 17:37:59 GMT"",
<http://web.archive.org/web/20220125073411/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Tue, 25 Jan 2022 07:34:11 GMT"",
<http://web.archive.org/web/20220125073949/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Tue, 25 Jan 2022 07:39:49 GMT"",
<http://web.archive.org/web/20220129114638/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sat, 29 Jan 2022 11:46:38 GMT"",
<http://web.archive.org/web/20220205173503/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sat, 05 Feb 2022 17:35:03 GMT"",
<http://web.archive.org/web/20220205232951/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sat, 05 Feb 2022 23:29:51 GMT"",
<http://web.archive.org/web/20220206121154/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sun, 06 Feb 2022 12:11:54 GMT"",
<http://web.archive.org/web/20220209142500/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Wed, 09 Feb 2022 14:25:00 GMT"",
<http://web.archive.org/web/20220209173208/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Wed, 09 Feb 2022 17:32:08 GMT"",
<http://web.archive.org/web/20220210142800/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Thu, 10 Feb 2022 14:28:00 GMT"",
<http://web.archive.org/web/20220211154354/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Fri, 11 Feb 2022 15:43:54 GMT"",
<http://web.archive.org/web/20220213172800/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sun, 13 Feb 2022 17:28:00 GMT"",
<http://web.archive.org/web/20220214121225/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Mon, 14 Feb 2022 12:12:25 GMT"",
<http://web.archive.org/web/20220215222449/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Tue, 15 Feb 2022 22:24:49 GMT"",
<http://web.archive.org/web/20220217141513/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Thu, 17 Feb 2022 14:15:13 GMT"",
<http://web.archive.org/web/20220219070209/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sat, 19 Feb 2022 07:02:09 GMT"",
<http://web.archive.org/web/20220223021050/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Wed, 23 Feb 2022 02:10:50 GMT"",
<http://web.archive.org/web/20220223064038/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Wed, 23 Feb 2022 06:40:38 GMT"",
<http://web.archive.org/web/20220223112603/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Wed, 23 Feb 2022 11:26:03 GMT"",
<http://web.archive.org/web/20220223140548/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Wed, 23 Feb 2022 14:05:48 GMT"",
<http://web.archive.org/web/20220223141230/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Wed, 23 Feb 2022 14:12:30 GMT"",
<http://web.archive.org/web/20220224030031/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Thu, 24 Feb 2022 03:00:31 GMT"",
<http://web.archive.org/web/20220226204002/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sat, 26 Feb 2022 20:40:02 GMT"",
<http://web.archive.org/web/20220303140818/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Thu, 03 Mar 2022 14:08:18 GMT"",
<http://web.archive.org/web/20220303141112/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Thu, 03 Mar 2022 14:11:12 GMT"",
<http://web.archive.org/web/20220305122954/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sat, 05 Mar 2022 12:29:54 GMT"",
<http://web.archive.org/web/20220312073521/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sat, 12 Mar 2022 07:35:21 GMT"",
<http://web.archive.org/web/20220323024551/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Wed, 23 Mar 2022 02:45:51 GMT"",
<http://web.archive.org/web/20220331162310/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Thu, 31 Mar 2022 16:23:10 GMT"",
<http://web.archive.org/web/20220331162310/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Thu, 31 Mar 2022 16:23:10 GMT"",
<http://web.archive.org/web/20220406112329/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Wed, 06 Apr 2022 11:23:29 GMT"",
<http://web.archive.org/web/20220409075908/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sat, 09 Apr 2022 07:59:08 GMT"",
<http://web.archive.org/web/20220430083933/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sat, 30 Apr 2022 08:39:33 GMT"",
<http://web.archive.org/web/20220507134813/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sat, 07 May 2022 13:48:13 GMT"",
<http://web.archive.org/web/20220511165038/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Wed, 11 May 2022 16:50:38 GMT"",
<http://web.archive.org/web/20220511165844/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Wed, 11 May 2022 16:58:44 GMT"",
<http://web.archive.org/web/20220514202709/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sat, 14 May 2022 20:27:09 GMT"",
<http://web.archive.org/web/20220516105305/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Mon, 16 May 2022 10:53:05 GMT"",
<http://web.archive.org/web/20220517002321/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Tue, 17 May 2022 00:23:21 GMT"",
<http://web.archive.org/web/20220524221617/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Tue, 24 May 2022 22:16:17 GMT"",
<http://web.archive.org/web/20220528123020/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sat, 28 May 2022 12:30:20 GMT"",
<http://web.archive.org/web/20220531161142/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Tue, 31 May 2022 16:11:42 GMT"",
<http://web.archive.org/web/20220601184343/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Wed, 01 Jun 2022 18:43:43 GMT"",
<http://web.archive.org/web/20220602112150/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Thu, 02 Jun 2022 11:21:50 GMT"",
<http://web.archive.org/web/20220602212038/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Thu, 02 Jun 2022 21:20:38 GMT"",
<http://web.archive.org/web/20220603081158/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Fri, 03 Jun 2022 08:11:58 GMT"",
<http://web.archive.org/web/20220603213624/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Fri, 03 Jun 2022 21:36:24 GMT"",
<http://web.archive.org/web/20220604104628/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sat, 04 Jun 2022 10:46:28 GMT"",
<http://web.archive.org/web/20220605180703/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sun, 05 Jun 2022 18:07:03 GMT"",
<http://web.archive.org/web/20220608024904/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Wed, 08 Jun 2022 02:49:04 GMT"",
<http://web.archive.org/web/20220608220429/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Wed, 08 Jun 2022 22:04:29 GMT"",
<http://web.archive.org/web/20220609221053/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Thu, 09 Jun 2022 22:10:53 GMT"",
<http://web.archive.org/web/20220610022110/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Fri, 10 Jun 2022 02:21:10 GMT"",
<http://web.archive.org/web/20220611075316/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sat, 11 Jun 2022 07:53:16 GMT"",
<http://web.archive.org/web/20220615115820/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Wed, 15 Jun 2022 11:58:20 GMT"",
<http://web.archive.org/web/20220621023143/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Tue, 21 Jun 2022 02:31:43 GMT"",
<http://web.archive.org/web/20220622064527/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Wed, 22 Jun 2022 06:45:27 GMT"",
<http://web.archive.org/web/20220624180022/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Fri, 24 Jun 2022 18:00:22 GMT"",
<http://web.archive.org/web/20220629055928/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Wed, 29 Jun 2022 05:59:28 GMT"",
<http://web.archive.org/web/20220630062301/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Thu, 30 Jun 2022 06:23:01 GMT"",
<http://web.archive.org/web/20220702101049/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sat, 02 Jul 2022 10:10:49 GMT"",
<http://web.archive.org/web/20220703131819/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sun, 03 Jul 2022 13:18:19 GMT"",
<http://web.archive.org/web/20220704154016/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Mon, 04 Jul 2022 15:40:16 GMT"",
<http://web.archive.org/web/20220706043027/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Wed, 06 Jul 2022 04:30:27 GMT"",
<http://web.archive.org/web/20220706121034/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Wed, 06 Jul 2022 12:10:34 GMT"",
<http://web.archive.org/web/20220708163056/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Fri, 08 Jul 2022 16:30:56 GMT"",
<http://web.archive.org/web/20220709143659/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sat, 09 Jul 2022 14:36:59 GMT"",
<http://web.archive.org/web/20220710113949/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sun, 10 Jul 2022 11:39:49 GMT"",
<http://web.archive.org/web/20220711141713/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Mon, 11 Jul 2022 14:17:13 GMT"",
<http://web.archive.org/web/20220712182538/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Tue, 12 Jul 2022 18:25:38 GMT"",
<http://web.archive.org/web/20220713204705/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Wed, 13 Jul 2022 20:47:05 GMT"",
<http://web.archive.org/web/20220714190624/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Thu, 14 Jul 2022 19:06:24 GMT"",
<http://web.archive.org/web/20220715181205/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Fri, 15 Jul 2022 18:12:05 GMT"",
<http://web.archive.org/web/20220716194115/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sat, 16 Jul 2022 19:41:15 GMT"",
<http://web.archive.org/web/20220717223016/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sun, 17 Jul 2022 22:30:16 GMT"",
<http://web.archive.org/web/20220719013741/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a/>; rel=""memento""; datetime=""Tue, 19 Jul 2022 01:37:41 GMT"",
<http://web.archive.org/web/20220719221749/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Tue, 19 Jul 2022 22:17:49 GMT"",
<http://web.archive.org/web/20220720233430/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Wed, 20 Jul 2022 23:34:30 GMT"",
<http://web.archive.org/web/20220722143235/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Fri, 22 Jul 2022 14:32:35 GMT"",
<http://web.archive.org/web/20220723064219/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sat, 23 Jul 2022 06:42:19 GMT"",
<http://web.archive.org/web/20220723164244/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sat, 23 Jul 2022 16:42:44 GMT"",
<http://web.archive.org/web/20220725032502/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Mon, 25 Jul 2022 03:25:02 GMT"",
<http://web.archive.org/web/20220804160618/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Thu, 04 Aug 2022 16:06:18 GMT"",
<http://web.archive.org/web/20220806200049/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sat, 06 Aug 2022 20:00:49 GMT"",
<http://web.archive.org/web/20220807162518/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sun, 07 Aug 2022 16:25:18 GMT"",
<http://web.archive.org/web/20220808200156/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Mon, 08 Aug 2022 20:01:56 GMT"",
<http://web.archive.org/web/20220809201257/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Tue, 09 Aug 2022 20:12:57 GMT"",
<http://web.archive.org/web/20220810183117/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Wed, 10 Aug 2022 18:31:17 GMT"",
<http://web.archive.org/web/20220811185359/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Thu, 11 Aug 2022 18:53:59 GMT"",
<http://web.archive.org/web/20220813034446/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sat, 13 Aug 2022 03:44:46 GMT"",
<http://web.archive.org/web/20220827200342/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sat, 27 Aug 2022 20:03:42 GMT"",
<http://web.archive.org/web/20220910201340/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sat, 10 Sep 2022 20:13:40 GMT"",
<http://web.archive.org/web/20220926131829/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Mon, 26 Sep 2022 13:18:29 GMT"",
<http://web.archive.org/web/20221006144441/http://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a/>; rel=""memento""; datetime=""Thu, 06 Oct 2022 14:44:41 GMT"",
<http://web.archive.org/web/20221112173732/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sat, 12 Nov 2022 17:37:32 GMT"",
<http://web.archive.org/web/20221119202746/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sat, 19 Nov 2022 20:27:46 GMT"",
<http://web.archive.org/web/20221130165300/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Wed, 30 Nov 2022 16:53:00 GMT"",
<http://web.archive.org/web/20221221162909/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Wed, 21 Dec 2022 16:29:09 GMT"",
<http://web.archive.org/web/20230104005807/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Wed, 04 Jan 2023 00:58:07 GMT"",
<http://web.archive.org/web/20230104010736/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Wed, 04 Jan 2023 01:07:36 GMT"",
<http://web.archive.org/web/20230104010740/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Wed, 04 Jan 2023 01:07:40 GMT"",
<http://web.archive.org/web/20230205174939/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sun, 05 Feb 2023 17:49:39 GMT"",
<http://web.archive.org/web/20230209221629/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Thu, 09 Feb 2023 22:16:29 GMT"",
<http://web.archive.org/web/20230307150250/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Tue, 07 Mar 2023 15:02:50 GMT"",
<http://web.archive.org/web/20230322202602/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Wed, 22 Mar 2023 20:26:02 GMT"",
<http://web.archive.org/web/20230322203211/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Wed, 22 Mar 2023 20:32:11 GMT"",
<http://web.archive.org/web/20230322204420/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Wed, 22 Mar 2023 20:44:20 GMT"",
<http://web.archive.org/web/20230322205600/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Wed, 22 Mar 2023 20:56:00 GMT"",
<http://web.archive.org/web/20230322210151/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Wed, 22 Mar 2023 21:01:51 GMT"",
<http://web.archive.org/web/20230322212334/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Wed, 22 Mar 2023 21:23:34 GMT"",
<http://web.archive.org/web/20230606065604/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Tue, 06 Jun 2023 06:56:04 GMT"",
<http://web.archive.org/web/20230716124458/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sun, 16 Jul 2023 12:44:58 GMT"",
<http://web.archive.org/web/20230718143351/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Tue, 18 Jul 2023 14:33:51 GMT"",
<http://web.archive.org/web/20230922235941/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Fri, 22 Sep 2023 23:59:41 GMT"",
<http://web.archive.org/web/20230922235945/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Fri, 22 Sep 2023 23:59:45 GMT"",
<http://web.archive.org/web/20230930044408/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sat, 30 Sep 2023 04:44:08 GMT"",
<http://web.archive.org/web/20231111152025/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sat, 11 Nov 2023 15:20:25 GMT"",
<http://web.archive.org/web/20231111152620/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sat, 11 Nov 2023 15:26:20 GMT"",
<http://web.archive.org/web/20231208230708/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Fri, 08 Dec 2023 23:07:08 GMT"",
<http://web.archive.org/web/20231218010119/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Mon, 18 Dec 2023 01:01:19 GMT"",
<http://web.archive.org/web/20231221193446/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Thu, 21 Dec 2023 19:34:46 GMT"",
<http://web.archive.org/web/20231221193446/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Thu, 21 Dec 2023 19:34:46 GMT"",
<http://web.archive.org/web/20231230191445/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sat, 30 Dec 2023 19:14:45 GMT"",
<http://web.archive.org/web/20240112194025/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Fri, 12 Jan 2024 19:40:25 GMT"",
<http://web.archive.org/web/20240301010542/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Fri, 01 Mar 2024 01:05:42 GMT"",
<http://web.archive.org/web/20240416145919/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Tue, 16 Apr 2024 14:59:19 GMT"",
<http://web.archive.org/web/20240516090129/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Thu, 16 May 2024 09:01:29 GMT"",
<http://web.archive.org/web/20240704105300/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Thu, 04 Jul 2024 10:53:00 GMT"",
<http://web.archive.org/web/20240807192552/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Wed, 07 Aug 2024 19:25:52 GMT"",
<http://web.archive.org/web/20240910160657/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Tue, 10 Sep 2024 16:06:57 GMT"",
<http://web.archive.org/web/20240914002112/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sat, 14 Sep 2024 00:21:12 GMT"",
<http://web.archive.org/web/20240926194557/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Thu, 26 Sep 2024 19:45:57 GMT"",
<http://web.archive.org/web/20241111174358/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Mon, 11 Nov 2024 17:43:58 GMT"",
<http://web.archive.org/web/20241125043733/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Mon, 25 Nov 2024 04:37:33 GMT"",
<http://web.archive.org/web/20241125212719/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Mon, 25 Nov 2024 21:27:19 GMT"",
<http://web.archive.org/web/20241214022118/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sat, 14 Dec 2024 02:21:18 GMT"",
<http://web.archive.org/web/20250101183059/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Wed, 01 Jan 2025 18:30:59 GMT"",
<http://web.archive.org/web/20250106010525/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Mon, 06 Jan 2025 01:05:25 GMT"",
<http://web.archive.org/web/20250106051043/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Mon, 06 Jan 2025 05:10:43 GMT"",
<http://web.archive.org/web/20250201015519/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sat, 01 Feb 2025 01:55:19 GMT"",
<http://web.archive.org/web/20250201211141/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sat, 01 Feb 2025 21:11:41 GMT"",
<http://web.archive.org/web/20250201220420/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sat, 01 Feb 2025 22:04:20 GMT"",
<http://web.archive.org/web/20250202070443/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a/>; rel=""memento""; datetime=""Sun, 02 Feb 2025 07:04:43 GMT"",
<http://web.archive.org/web/20250203031838/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Mon, 03 Feb 2025 03:18:38 GMT"",
<http://web.archive.org/web/20250206161458/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Thu, 06 Feb 2025 16:14:58 GMT"",
<http://web.archive.org/web/20250209174400/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sun, 09 Feb 2025 17:44:00 GMT"",
<http://web.archive.org/web/20250209174403/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a/>; rel=""memento""; datetime=""Sun, 09 Feb 2025 17:44:03 GMT"",
<http://web.archive.org/web/20250209174423/https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Sun, 09 Feb 2025 17:44:23 GMT"",
<http://web.archive.org/web/20250213110515/http://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a>; rel=""memento""; datetime=""Thu, 13 Feb 2025 11:05:15 GMT""
","{'name': 'Rates of COVID-19 Cases or Deaths by Age Group and Vaccination Status', 'id': '3rge-nu2a', 'description': ""Data for CDC’s COVID Data Tracker site on Rates of COVID-19 Cases and Deaths by Vaccination Status.\nClick 'More' for important dataset description and footnotes\n\nDataset and data visualization details:\nThese data were posted on October 21, 2022, archived on November 18, 2022, and revised on February 22, 2023. These data reflect cases among persons with a positive specimen collection date through September 24, 2022, and deaths among persons with a positive specimen collection date through September 3, 2022. \n\nVaccination status: A person vaccinated with a primary series had SARS-CoV-2 RNA or antigen detected on a respiratory specimen collected ≥14 days after verifiably completing the primary series of an FDA-authorized or approved COVID-19 vaccine. An unvaccinated person had SARS-CoV-2 RNA or antigen detected on a respiratory specimen and has not been verified to have received COVID-19 vaccine. Excluded were partially vaccinated people who received at least one FDA-authorized vaccine dose but did not complete a primary series ≥14 days before collection of a specimen where SARS-CoV-2 RNA or antigen was detected.\nAdditional or booster dose: A person vaccinated with a primary series and an additional or booster dose had SARS-CoV-2 RNA or antigen detected on a respiratory specimen collected ≥14 days after receipt of an additional or booster dose of any COVID-19 vaccine on or after August 13, 2021. For people ages 18 years and older, data are graphed starting the week including September 24, 2021, when a COVID-19 booster dose was first recommended by CDC for adults 65+ years old and people in certain populations and high risk occupational and institutional settings. For people ages 12-17 years, data are graphed starting the week of December 26, 2021, 2 weeks after the first recommendation for a booster dose for adolescents ages 16-17 years. For people ages 5-11 years, data are included starting the week of June 5, 2022, 2 weeks after the first recommendation for a booster dose for children aged 5-11 years. For people ages 50 years and older, data on second booster doses are graphed starting the week including March 29, 2022, when the recommendation was made for second boosters. Vertical lines represent dates when changes occurred in U.S. policy for COVID-19 vaccination (details provided above). Reporting is by primary series vaccine type rather than additional or booster dose vaccine type. The booster dose vaccine type may be different than the primary series vaccine type. \n** Because data on the immune status of cases and associated deaths are unavailable, an additional dose in an immunocompromised person cannot be distinguished from a booster dose. This is a relevant consideration because vaccines can be less effective in this group.\nDeaths: A COVID-19–associated death occurred in a person with a documented COVID-19 diagnosis who died; health department staff reviewed to make a determination using vital records, public health investigation, or other data sources. Rates of COVID-19 deaths by vaccination status are reported based on when the patient was tested for COVID-19, not the date they died. Deaths usually occur up to 30 days after COVID-19 diagnosis.\nParticipating jurisdictions: Currently, these 31 health departments that regularly link their case surveillance to immunization information system data are included in these incidence rate estimates: Alabama, Arizona, Arkansas, California, Colorado, Connecticut, District of Columbia, Florida, Georgia, Idaho, Indiana, Kansas, Kentucky, Louisiana, Massachusetts, Michigan, Minnesota, Nebraska, New Jersey, New Mexico, New York, New York City (New York), North Carolina, Philadelphia (Pennsylvania), Rhode Island, South Dakota, Tennessee, Texas, Utah, Washington, and West Virginia; 30 jurisdictions also report deaths among vaccinated and unvaccinated people. These jurisdictions represent 72% of the total U.S. population and all ten of the Health and Human Services Regions. Data on cases"", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a'}"
Rates of COVID-19 Cases or Deaths by Age Group and Vaccination Status and Booster Dose,d6p8-wqjm,d6p8-wqjm_1736708133.490487_Rates_of_COVID-19_Cases_or_Deaths_by_Age_Group_and_Vaccination_Status_and_Booster_Dose_20250112.csv.gz,2025-01-12 18:55:33 UTC,https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/d6p8-wqjm,"Data for CDC’s COVID Data Tracker site on Rates of COVID-19 Cases and Deaths by Vaccination Status.
Click 'More' for important dataset description and footnotes

Dataset and data visualization details:
These data were posted on October 21, 2022, archived on November 18, 2022, and revised on February 22, 2023. These data reflect cases among persons with a positive specimen collection date through September 24, 2022, and deaths among persons with a positive specimen collection date through September 3, 2022. 

Vaccination status: A person vaccinated with a primary series had SARS-CoV-2 RNA or antigen detected on a respiratory specimen collected ≥14 days after verifiably completing the primary series of an FDA-authorized or approved COVID-19 vaccine. An unvaccinated person had SARS-CoV-2 RNA or antigen detected on a respiratory specimen and has not been verified to have received COVID-19 vaccine. Excluded were partially vaccinated people who received at least one FDA-authorized vaccine dose but did not complete a primary series ≥14 days before collection of a specimen where SARS-CoV-2 RNA or antigen was detected.
Additional or booster dose: A person vaccinated with a primary series and an additional or booster dose had SARS-CoV-2 RNA or antigen detected on a respiratory specimen collected ≥14 days after receipt of an additional or booster dose of any COVID-19 vaccine on or after August 13, 2021. For people ages 18 years and older, data are graphed starting the week including September 24, 2021, when a COVID-19 booster dose was first recommended by CDC for adults 65+ years old and people in certain populations and high risk occupational and institutional settings. For people ages 12-17 years, data are graphed starting the week of December 26, 2021, 2 weeks after the first recommendation for a booster dose for adolescents ages 16-17 years. For people ages 5-11 years, data are included starting the week of June 5, 2022, 2 weeks after the first recommendation for a booster dose for children aged 5-11 years. For people ages 50 years and older, data on second booster doses are graphed starting the week including March 29, 2022, when the recommendation was made for second boosters. Vertical lines represent dates when changes occurred in U.S. policy for COVID-19 vaccination (details provided above). Reporting is by primary series vaccine type rather than additional or booster dose vaccine type. The booster dose vaccine type may be different than the primary series vaccine type.
** Because data on the immune status of cases and associated deaths are unavailable, an additional dose in an immunocompromised person cannot be distinguished from a booster dose. This is a relevant consideration because vaccines can be less effective in this group.
Deaths: A COVID-19–associated death occurred in a person with a documented COVID-19 diagnosis who died; health department staff reviewed to make a determination using vital records, public health investigation, or other data sources. Rates of COVID-19 deaths by vaccination status are reported based on when the patient was tested for COVID-19, not the date they died. Deaths usually occur up to 30 days after COVID-19 diagnosis.
Participating jurisdictions: Currently, these 31 health departments that regularly link their case surveillance to immunization information system data are included in these incidence rate estimates: Alabama, Arizona, Arkansas, California, Colorado, Connecticut, District of Columbia, Florida, Georgia, Idaho, Indiana, Kansas, Kentucky, Louisiana, Massachusetts, Michigan, Minnesota, Nebraska, New Jersey, New Mexico, New York, New York City (New York), North Carolina, Philadelphia (Pennsylvania), Rhode Island, South Dakota, Tennessee, Texas, Utah, Washington, and West Virginia; 30 jurisdictions also report deaths among vaccinated and unvaccinated people. These jurisdictions represent 72% of the total U.S. population and all ten of the Health and Human Services Regions. Data on cases",,"{'name': 'Rates of COVID-19 Cases or Deaths by Age Group and Vaccination Status and Booster Dose', 'id': 'd6p8-wqjm', 'description': ""Data for CDC’s COVID Data Tracker site on Rates of COVID-19 Cases and Deaths by Vaccination Status.\nClick 'More' for important dataset description and footnotes\n\nDataset and data visualization details:\nThese data were posted on October 21, 2022, archived on November 18, 2022, and revised on February 22, 2023. These data reflect cases among persons with a positive specimen collection date through September 24, 2022, and deaths among persons with a positive specimen collection date through September 3, 2022. \n\nVaccination status: A person vaccinated with a primary series had SARS-CoV-2 RNA or antigen detected on a respiratory specimen collected ≥14 days after verifiably completing the primary series of an FDA-authorized or approved COVID-19 vaccine. An unvaccinated person had SARS-CoV-2 RNA or antigen detected on a respiratory specimen and has not been verified to have received COVID-19 vaccine. Excluded were partially vaccinated people who received at least one FDA-authorized vaccine dose but did not complete a primary series ≥14 days before collection of a specimen where SARS-CoV-2 RNA or antigen was detected.\nAdditional or booster dose: A person vaccinated with a primary series and an additional or booster dose had SARS-CoV-2 RNA or antigen detected on a respiratory specimen collected ≥14 days after receipt of an additional or booster dose of any COVID-19 vaccine on or after August 13, 2021. For people ages 18 years and older, data are graphed starting the week including September 24, 2021, when a COVID-19 booster dose was first recommended by CDC for adults 65+ years old and people in certain populations and high risk occupational and institutional settings. For people ages 12-17 years, data are graphed starting the week of December 26, 2021, 2 weeks after the first recommendation for a booster dose for adolescents ages 16-17 years. For people ages 5-11 years, data are included starting the week of June 5, 2022, 2 weeks after the first recommendation for a booster dose for children aged 5-11 years. For people ages 50 years and older, data on second booster doses are graphed starting the week including March 29, 2022, when the recommendation was made for second boosters. Vertical lines represent dates when changes occurred in U.S. policy for COVID-19 vaccination (details provided above). Reporting is by primary series vaccine type rather than additional or booster dose vaccine type. The booster dose vaccine type may be different than the primary series vaccine type.\n** Because data on the immune status of cases and associated deaths are unavailable, an additional dose in an immunocompromised person cannot be distinguished from a booster dose. This is a relevant consideration because vaccines can be less effective in this group.\nDeaths: A COVID-19–associated death occurred in a person with a documented COVID-19 diagnosis who died; health department staff reviewed to make a determination using vital records, public health investigation, or other data sources. Rates of COVID-19 deaths by vaccination status are reported based on when the patient was tested for COVID-19, not the date they died. Deaths usually occur up to 30 days after COVID-19 diagnosis.\nParticipating jurisdictions: Currently, these 31 health departments that regularly link their case surveillance to immunization information system data are included in these incidence rate estimates: Alabama, Arizona, Arkansas, California, Colorado, Connecticut, District of Columbia, Florida, Georgia, Idaho, Indiana, Kansas, Kentucky, Louisiana, Massachusetts, Michigan, Minnesota, Nebraska, New Jersey, New Mexico, New York, New York City (New York), North Carolina, Philadelphia (Pennsylvania), Rhode Island, South Dakota, Tennessee, Texas, Utah, Washington, and West Virginia; 30 jurisdictions also report deaths among vaccinated and unvaccinated people. These jurisdictions represent 72% of the total U.S. population and all ten of the Health and Human Services Regions. Data on cases"", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/d6p8-wqjm'}"
Rates of COVID-19 Cases or Deaths by Age Group and Vaccination Status and Second Booster Dose,ukww-au2k,ukww-au2k_1736711359.214439_Rates_of_COVID-19_Cases_or_Deaths_by_Age_Group_and_Vaccination_Status_and_Second_Booster_Dose_20250112.csv.gz,2025-01-12 19:49:19 UTC,https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/ukww-au2k,"Data for CDC’s COVID Data Tracker site on Rates of COVID-19 Cases and Deaths by Vaccination Status.
Click 'More' for important dataset description and footnotes

Dataset and data visualization details:
These data were posted on October 21, 2022, archived on November 18, 2022, and revised on February 22, 2023. These data reflect cases among persons with a positive specimen collection date through September 24, 2022, and deaths among persons with a positive specimen collection date through September 3, 2022. 

Vaccination status: A person vaccinated with a primary series had SARS-CoV-2 RNA or antigen detected on a respiratory specimen collected ≥14 days after verifiably completing the primary series of an FDA-authorized or approved COVID-19 vaccine. An unvaccinated person had SARS-CoV-2 RNA or antigen detected on a respiratory specimen and has not been verified to have received COVID-19 vaccine. Excluded were partially vaccinated people who received at least one FDA-authorized vaccine dose but did not complete a primary series ≥14 days before collection of a specimen where SARS-CoV-2 RNA or antigen was detected.
Additional or booster dose: A person vaccinated with a primary series and an additional or booster dose had SARS-CoV-2 RNA or antigen detected on a respiratory specimen collected ≥14 days after receipt of an additional or booster dose of any COVID-19 vaccine on or after August 13, 2021. For people ages 18 years and older, data are graphed starting the week including September 24, 2021, when a COVID-19 booster dose was first recommended by CDC for adults 65+ years old and people in certain populations and high risk occupational and institutional settings. For people ages 12-17 years, data are graphed starting the week of December 26, 2021, 2 weeks after the first recommendation for a booster dose for adolescents ages 16-17 years. For people ages 5-11 years, data are included starting the week of June 5, 2022, 2 weeks after the first recommendation for a booster dose for children aged 5-11 years. For people ages 50 years and older, data on second booster doses are graphed starting the week including March 29, 2022, when the recommendation was made for second boosters. Vertical lines represent dates when changes occurred in U.S. policy for COVID-19 vaccination (details provided above). Reporting is by primary series vaccine type rather than additional or booster dose vaccine type. The booster dose vaccine type may be different than the primary series vaccine type.
** Because data on the immune status of cases and associated deaths are unavailable, an additional dose in an immunocompromised person cannot be distinguished from a booster dose. This is a relevant consideration because vaccines can be less effective in this group.
Deaths: A COVID-19–associated death occurred in a person with a documented COVID-19 diagnosis who died; health department staff reviewed to make a determination using vital records, public health investigation, or other data sources. Rates of COVID-19 deaths by vaccination status are reported based on when the patient was tested for COVID-19, not the date they died. Deaths usually occur up to 30 days after COVID-19 diagnosis.
Participating jurisdictions: Currently, these 31 health departments that regularly link their case surveillance to immunization information system data are included in these incidence rate estimates: Alabama, Arizona, Arkansas, California, Colorado, Connecticut, District of Columbia, Florida, Georgia, Idaho, Indiana, Kansas, Kentucky, Louisiana, Massachusetts, Michigan, Minnesota, Nebraska, New Jersey, New Mexico, New York, New York City (New York), North Carolina, Philadelphia (Pennsylvania), Rhode Island, South Dakota, Tennessee, Texas, Utah, Washington, and West Virginia; 30 jurisdictions also report deaths among vaccinated and unvaccinated people. These jurisdictions represent 72% of the total U.S. population and all ten of the Health and Human Services Regions. Data on cases",,"{'name': 'Rates of COVID-19 Cases or Deaths by Age Group and Vaccination Status and Second Booster Dose', 'id': 'ukww-au2k', 'description': ""Data for CDC’s COVID Data Tracker site on Rates of COVID-19 Cases and Deaths by Vaccination Status.\nClick 'More' for important dataset description and footnotes\n\nDataset and data visualization details:\nThese data were posted on October 21, 2022, archived on November 18, 2022, and revised on February 22, 2023. These data reflect cases among persons with a positive specimen collection date through September 24, 2022, and deaths among persons with a positive specimen collection date through September 3, 2022. \n\nVaccination status: A person vaccinated with a primary series had SARS-CoV-2 RNA or antigen detected on a respiratory specimen collected ≥14 days after verifiably completing the primary series of an FDA-authorized or approved COVID-19 vaccine. An unvaccinated person had SARS-CoV-2 RNA or antigen detected on a respiratory specimen and has not been verified to have received COVID-19 vaccine. Excluded were partially vaccinated people who received at least one FDA-authorized vaccine dose but did not complete a primary series ≥14 days before collection of a specimen where SARS-CoV-2 RNA or antigen was detected.\nAdditional or booster dose: A person vaccinated with a primary series and an additional or booster dose had SARS-CoV-2 RNA or antigen detected on a respiratory specimen collected ≥14 days after receipt of an additional or booster dose of any COVID-19 vaccine on or after August 13, 2021. For people ages 18 years and older, data are graphed starting the week including September 24, 2021, when a COVID-19 booster dose was first recommended by CDC for adults 65+ years old and people in certain populations and high risk occupational and institutional settings. For people ages 12-17 years, data are graphed starting the week of December 26, 2021, 2 weeks after the first recommendation for a booster dose for adolescents ages 16-17 years. For people ages 5-11 years, data are included starting the week of June 5, 2022, 2 weeks after the first recommendation for a booster dose for children aged 5-11 years. For people ages 50 years and older, data on second booster doses are graphed starting the week including March 29, 2022, when the recommendation was made for second boosters. Vertical lines represent dates when changes occurred in U.S. policy for COVID-19 vaccination (details provided above). Reporting is by primary series vaccine type rather than additional or booster dose vaccine type. The booster dose vaccine type may be different than the primary series vaccine type.\n** Because data on the immune status of cases and associated deaths are unavailable, an additional dose in an immunocompromised person cannot be distinguished from a booster dose. This is a relevant consideration because vaccines can be less effective in this group.\nDeaths: A COVID-19–associated death occurred in a person with a documented COVID-19 diagnosis who died; health department staff reviewed to make a determination using vital records, public health investigation, or other data sources. Rates of COVID-19 deaths by vaccination status are reported based on when the patient was tested for COVID-19, not the date they died. Deaths usually occur up to 30 days after COVID-19 diagnosis.\nParticipating jurisdictions: Currently, these 31 health departments that regularly link their case surveillance to immunization information system data are included in these incidence rate estimates: Alabama, Arizona, Arkansas, California, Colorado, Connecticut, District of Columbia, Florida, Georgia, Idaho, Indiana, Kansas, Kentucky, Louisiana, Massachusetts, Michigan, Minnesota, Nebraska, New Jersey, New Mexico, New York, New York City (New York), North Carolina, Philadelphia (Pennsylvania), Rhode Island, South Dakota, Tennessee, Texas, Utah, Washington, and West Virginia; 30 jurisdictions also report deaths among vaccinated and unvaccinated people. These jurisdictions represent 72% of the total U.S. population and all ten of the Health and Human Services Regions. Data on cases"", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/ukww-au2k'}"
"Rates of Laboratory-Confirmed RSV, COVID-19, and Flu Hospitalizations from the RESP-NET Surveillance Systems",kvib-3txy,kvib-3txy_1736712982.732226_Rates_of_Laboratory-Confirmed_RSV__COVID-19__and_Flu_Hospitalizations_from_the_RESP-NET_Surveillance_Systems_20250112.csv.gz,2025-01-12 20:16:22 UTC,https://data.cdc.gov/Public-Health-Surveillance/Rates-of-Laboratory-Confirmed-RSV-COVID-19-and-Flu/kvib-3txy,"The Respiratory Virus Hospitalization Surveillance Network (RESP-NET) is a network that conducts, active, population-based surveillance for laboratory confirmed hospitalizations associated with Influenza, COVID-19, and RSV. The RESP-NET platforms have overlapping surveillance areas and use similar methods to collect data. Hospitalization rates show how many people in the surveillance area are hospitalized with influenza, COVID-19, and RSV compared to the total number of people residing in that area. 

Data will be updated weekly. Data are preliminary and subject to change as more data become available.",,"{'name': 'Rates of Laboratory-Confirmed RSV, COVID-19, and Flu Hospitalizations from the RESP-NET Surveillance Systems', 'id': 'kvib-3txy', 'description': 'The Respiratory Virus Hospitalization Surveillance Network (RESP-NET) is a network that conducts, active, population-based surveillance for laboratory confirmed hospitalizations associated with Influenza, COVID-19, and RSV. The RESP-NET platforms have overlapping surveillance areas and use similar methods to collect data. Hospitalization rates show how many people in the surveillance area are hospitalized with influenza, COVID-19, and RSV compared to the total number of people residing in that area. \n\nData will be updated weekly. Data are preliminary and subject to change as more data become available.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/Rates-of-Laboratory-Confirmed-RSV-COVID-19-and-Flu/kvib-3txy'}"
"Rates of TBI-related Deaths by Age Group - United States, 2001 - 2010",nq6q-szvs,nq6q-szvs_1736710850.924800_Rates_of_TBI-related_Deaths_by_Age_Group_-_United_States__2001_-_2010_20250112.csv.gz,2025-01-12 19:40:50 UTC,https://data.cdc.gov/Traumatic-Brain-Injury-/Rates-of-TBI-related-Deaths-by-Age-Group-United-St/nq6q-szvs,"Changes in the rates of TBI-related deaths vary depending on age.  For persons 44 years of age and younger, TBI-related deaths decreased between the periods of 2001-2002 and 2009-2010.  Rates for age groups 45-64 years of age remained stable for this same ten-year period.  For persons 65 years and older, rates of TBI-related deaths increased during this time period, from 41.2 to 45.2 deaths per 100,000.Go to http://www.cdc.gov/traumaticbraininjury/data/index.html to view more TBI data & statistics.Source: http://www.cdc.gov/traumaticbraininjury/data/rates_deaths_byage.html",,"{'name': 'Rates of TBI-related Deaths by Age Group - United States, 2001 - 2010', 'id': 'nq6q-szvs', 'description': 'Changes in the rates of TBI-related deaths vary depending on age.  For persons 44 years of age and younger, TBI-related deaths decreased between the periods of 2001-2002 and 2009-2010.  Rates for age groups 45-64 years of age remained stable for this same ten-year period.  For persons 65 years and older, rates of TBI-related deaths increased during this time period, from 41.2 to 45.2 deaths per 100,000.Go to http://www.cdc.gov/traumaticbraininjury/data/index.html to view more TBI data & statistics.Source: http://www.cdc.gov/traumaticbraininjury/data/rates_deaths_byage.html', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Traumatic-Brain-Injury-/Rates-of-TBI-related-Deaths-by-Age-Group-United-St/nq6q-szvs'}"
"Rates of TBI-related Emergency Department Visits, Hospitalizations, and Deaths - United States, 2001 – 2010",45um-c62r,45um-c62r_1736710457.817819_Rates_of_TBI-related_Emergency_Department_Visits__Hospitalizations__and_Deaths_-_United_States__2001___2010_20250112.csv.gz,2025-01-12 19:34:17 UTC,https://data.cdc.gov/Traumatic-Brain-Injury-/Rates-of-TBI-related-Emergency-Department-Visits-H/45um-c62r,"In general, total combined rates for traumatic brain injury (TBI)-related emergency department (ED) visits, hospitalizations and deaths have increased over the past decade.  Total combined rates of TBI-related hospitalizations, ED visits, and deaths climbed slowly from a rate of 521.0 per 100,000 in 2001 to 615.7 per 100,000 in 2005.  The rates then dipped to 595.1 per 100,000 in 2006 and 566.7 per 100,000 in 2007.  The rates then spiked sharply in 2008 and continued to climb through 2010 to a rate of 823.7 per 100,000.  Total combined rates of TBI-related hospitalizations, ED visits, and deaths are driven in large part by the relatively high number of TBI-related ED visits.  In comparison to ED visits, the overall rates of TBI-related hospitalizations remained relatively stable changing from 82.7 per 100,000 in 2001 to 91.7 per 100,000 in 2010.  TBI-related deaths also decreased slightly over time from 18.5 per 100,000 in 2001 to 17.1 per 100,000 in 2010.  Note that the axis scale for TBI-related deaths appears to the right of the chart and differs from TBI-related hospitalizations and ED visits.Go to http://www.cdc.gov/traumaticbraininjury/data/index.html to view more TBI data & statistics.",,"{'name': 'Rates of TBI-related Emergency Department Visits, Hospitalizations, and Deaths - United States, 2001 – 2010', 'id': '45um-c62r', 'description': 'In general, total combined rates for traumatic brain injury (TBI)-related emergency department (ED) visits, hospitalizations and deaths have increased over the past decade.  Total combined rates of TBI-related hospitalizations, ED visits, and deaths climbed slowly from a rate of 521.0 per 100,000 in 2001 to 615.7 per 100,000 in 2005.  The rates then dipped to 595.1 per 100,000 in 2006 and 566.7 per 100,000 in 2007.  The rates then spiked sharply in 2008 and continued to climb through 2010 to a rate of 823.7 per 100,000.  Total combined rates of TBI-related hospitalizations, ED visits, and deaths are driven in large part by the relatively high number of TBI-related ED visits.  In comparison to ED visits, the overall rates of TBI-related hospitalizations remained relatively stable changing from 82.7 per 100,000 in 2001 to 91.7 per 100,000 in 2010.  TBI-related deaths also decreased slightly over time from 18.5 per 100,000 in 2001 to 17.1 per 100,000 in 2010.  Note that the axis scale for TBI-related deaths appears to the right of the chart and differs from TBI-related hospitalizations and ED visits.Go to http://www.cdc.gov/traumaticbraininjury/data/index.html to view more TBI data & statistics.', 'datatype': 'tabular', 'keywords': ['health', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Traumatic-Brain-Injury-/Rates-of-TBI-related-Emergency-Department-Visits-H/45um-c62r'}"
"Rates of TBI-related Emergency Department Visits, Hospitalizations, and Deaths by Sex - United States, 2001 – 2010",b4av-siev,b4av-siev_1736711039.767052_Rates_of_TBI-related_Emergency_Department_Visits__Hospitalizations__and_Deaths_by_Sex_-_United_States__2001___2010_20250112.csv.gz,2025-01-12 19:43:59 UTC,https://data.cdc.gov/Traumatic-Brain-Injury-/Rates-of-TBI-related-Emergency-Department-Visits-H/b4av-siev,"Overall rates of TBI climbed slowly from 2001 through 2007, then spiked sharply in 2008 and continued to climb through 2010.  The increase in TBI rates in 2008 was much sharper for men (nearly 40% increase) than for women (20% increase).  In 2007, overall rates of TBI were 26% higher in men compared to women.  In 2008, that gap began to widen, reaching 61% in 2009 before narrowing to 29% in 2010.  Rates of overall TBI are largely driven by rates of TBI-related ED visits.",,"{'name': 'Rates of TBI-related Emergency Department Visits, Hospitalizations, and Deaths by Sex - United States, 2001 – 2010', 'id': 'b4av-siev', 'description': 'Overall rates of TBI climbed slowly from 2001 through 2007, then spiked sharply in 2008 and continued to climb through 2010.  The increase in TBI rates in 2008 was much sharper for men (nearly 40% increase) than for women (20% increase).  In 2007, overall rates of TBI were 26% higher in men compared to women.  In 2008, that gap began to widen, reaching 61% in 2009 before narrowing to 29% in 2010.  Rates of overall TBI are largely driven by rates of TBI-related ED visits.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Traumatic-Brain-Injury-/Rates-of-TBI-related-Emergency-Department-Visits-H/b4av-siev'}"
Reduced Access to Care During COVID-19,th9n-ghnr,th9n-ghnr_1736718133.251396_Reduced_Access_to_Care_During_COVID-19_20250112.csv.gz,2025-01-12 21:42:13 UTC,https://data.cdc.gov/NCHS/Reduced-Access-to-Care-During-COVID-19/th9n-ghnr,"The Research and Development Survey (RANDS) is a platform designed for conducting survey question evaluation and statistical research. RANDS is an ongoing series of surveys from probability-sampled commercial survey panels used for methodological research at the National Center for Health Statistics (NCHS). RANDS estimates are generated using an experimental approach that differs from the survey design approaches generally used by NCHS, including possible biases from different response patterns and sampling frames as well as increased variability from lower sample sizes. Use of the RANDS platform allows NCHS to produce more timely data than would be possible using traditional data collection methods. RANDS is not designed to replace NCHS’ higher quality, core data collections. Below are experimental estimates of reduced access to healthcare for three rounds of RANDS during COVID-19. Data collection for the three rounds of RANDS during COVID-19 occurred between June 9, 2020 and July 6, 2020, August 3, 2020 and August 20, 2020, and May 17, 2021 and June 30, 2021. Information needed to interpret these estimates can be found in the Technical Notes. RANDS during COVID-19 included questions about unmet care in the last 2 months during the coronavirus pandemic. Unmet needs for health care are often the result of cost-related barriers. The National Health Interview Survey, conducted by NCHS, is the source for high-quality data to monitor cost-related health care access problems in the United States. For example, in 2018, 7.3% of persons of all ages reported delaying medical care due to cost and 4.8% reported needing medical care but not getting it due to cost in the past year. However, cost is not the only reason someone might delay or not receive needed medical care. As a result of the coronavirus pandemic, people also may not get needed medical care due to cancelled appointments, cutbacks in transportation options, fear of going to the emergency room, or an altruistic desire to not be a burden on the health care system, among other reasons. The Household Pulse Survey (https://www.cdc.gov/nchs/covid19/pulse/reduced-access-to-care.htm), an online survey conducted in response to the COVID-19 pandemic by the Census Bureau in partnership with other federal agencies including NCHS, also reports estimates of reduced access to care during the pandemic (beginning in Phase 1, which started on April 23, 2020). The Household Pulse Survey reports the percentage of adults who delayed medical care in the last 4 weeks or who needed medical care at any time in the last 4 weeks for something other than coronavirus but did not get it because of the pandemic. The experimental estimates on this page are derived from RANDS during COVID-19 and show the percentage of U.S. adults who were unable to receive medical care (including urgent care, surgery, screening tests, ongoing treatment, regular checkups, prescriptions, dental care, vision care, and hearing care) in the last 2 months. Technical Notes: https://www.cdc.gov/nchs/covid19/rands/reduced-access-to-care.htm#limitations",,"{'name': 'Reduced Access to Care During COVID-19', 'id': 'th9n-ghnr', 'description': 'The Research and Development Survey (RANDS) is a platform designed for conducting survey question evaluation and statistical research. RANDS is an ongoing series of surveys from probability-sampled commercial survey panels used for methodological research at the National Center for Health Statistics (NCHS). RANDS estimates are generated using an experimental approach that differs from the survey design approaches generally used by NCHS, including possible biases from different response patterns and sampling frames as well as increased variability from lower sample sizes. Use of the RANDS platform allows NCHS to produce more timely data than would be possible using traditional data collection methods. RANDS is not designed to replace NCHS’ higher quality, core data collections. Below are experimental estimates of reduced access to healthcare for three rounds of RANDS during COVID-19. Data collection for the three rounds of RANDS during COVID-19 occurred between June 9, 2020 and July 6, 2020, August 3, 2020 and August 20, 2020, and May 17, 2021 and June 30, 2021. Information needed to interpret these estimates can be found in the Technical Notes. RANDS during COVID-19 included questions about unmet care in the last 2 months during the coronavirus pandemic. Unmet needs for health care are often the result of cost-related barriers. The National Health Interview Survey, conducted by NCHS, is the source for high-quality data to monitor cost-related health care access problems in the United States. For example, in 2018, 7.3% of persons of all ages reported delaying medical care due to cost and 4.8% reported needing medical care but not getting it due to cost in the past year. However, cost is not the only reason someone might delay or not receive needed medical care. As a result of the coronavirus pandemic, people also may not get needed medical care due to cancelled appointments, cutbacks in transportation options, fear of going to the emergency room, or an altruistic desire to not be a burden on the health care system, among other reasons. The Household Pulse Survey (https://www.cdc.gov/nchs/covid19/pulse/reduced-access-to-care.htm), an online survey conducted in response to the COVID-19 pandemic by the Census Bureau in partnership with other federal agencies including NCHS, also reports estimates of reduced access to care during the pandemic (beginning in Phase 1, which started on April 23, 2020). The Household Pulse Survey reports the percentage of adults who delayed medical care in the last 4 weeks or who needed medical care at any time in the last 4 weeks for something other than coronavirus but did not get it because of the pandemic. The experimental estimates on this page are derived from RANDS during COVID-19 and show the percentage of U.S. adults who were unable to receive medical care (including urgent care, surgery, screening tests, ongoing treatment, regular checkups, prescriptions, dental care, vision care, and hearing care) in the last 2 months. Technical Notes: https://www.cdc.gov/nchs/covid19/rands/reduced-access-to-care.htm#limitations', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Reduced-Access-to-Care-During-COVID-19/th9n-ghnr'}"
Respiratory Syncytial Virus Laboratory Data (NREVSS),52kb-ccu2,52kb-ccu2_1736721732.899653_Respiratory_Syncytial_Virus_Laboratory_Data__NREVSS__20250112.csv.gz,2025-01-12 22:42:12 UTC,https://data.cdc.gov/Laboratory-Surveillance/Respiratory-Syncytial-Virus-Laboratory-Data-NREVSS/52kb-ccu2,"Approximately 600 public health and clinical laboratories located throughout the United States, participate in surveillance for respiratory syncytial virus (RSV) through CDC's National Respiratory and Enteric Virus Surveillance System (NREVSS). The dataset contains a weekly summary of the total RSV tests and RSV detections reported to NREVSS. These data are reported on a voluntary basis. Clinical laboratories do not report demographic data through NREVSS. Testing practices and the number of participating laboratories may change from year to year. Results can be changed two years after the initial reporting week. However, discrepancies may be noted and updated at the discretion of the data stewards and key stakeholders.

Data are collected from collaborating university and community hospital laboratories, select states and county public health laboratories, and commercial laboratories. This information is submitted and updated on a weekly basis. 

While NREVSS strives to present the most precise national, regional and state respiratory viral trends with the least amount of burden possible for participating laboratories, there are a number of inherent limitations to this surveillance system. 

NREVSS does not collect patient-data or demographic information. Multiple samples may be collected from a single patient, so NREVSS results do not necessarily reflect the number of patients tested nor does it reflect hospitalizations or deaths related to a particular virus. 

Participating laboratories vary in size, testing capabilities, and areas served. Some institutions may receive and test samples from sites across a given state or even from multiple states. Without direct knowledge of the population base, NREVSS cannot be used to determine the prevalence or incidence of infection.


For more information on RSV surveillance and research please visit: https://www.cdc.gov/surveillance/nrevss and https://www.cdc.gov/rsv/research/us-surveillance.html",,"{'name': 'Respiratory Syncytial Virus Laboratory Data (NREVSS)', 'id': '52kb-ccu2', 'description': ""Approximately 600 public health and clinical laboratories located throughout the United States, participate in surveillance for respiratory syncytial virus (RSV) through CDC's National Respiratory and Enteric Virus Surveillance System (NREVSS). The dataset contains a weekly summary of the total RSV tests and RSV detections reported to NREVSS. These data are reported on a voluntary basis. Clinical laboratories do not report demographic data through NREVSS. Testing practices and the number of participating laboratories may change from year to year. Results can be changed two years after the initial reporting week. However, discrepancies may be noted and updated at the discretion of the data stewards and key stakeholders.\n\nData are collected from collaborating university and community hospital laboratories, select states and county public health laboratories, and commercial laboratories. This information is submitted and updated on a weekly basis. \n\nWhile NREVSS strives to present the most precise national, regional and state respiratory viral trends with the least amount of burden possible for participating laboratories, there are a number of inherent limitations to this surveillance system. \n\nNREVSS does not collect patient-data or demographic information. Multiple samples may be collected from a single patient, so NREVSS results do not necessarily reflect the number of patients tested nor does it reflect hospitalizations or deaths related to a particular virus. \n\nParticipating laboratories vary in size, testing capabilities, and areas served. Some institutions may receive and test samples from sites across a given state or even from multiple states. Without direct knowledge of the population base, NREVSS cannot be used to determine the prevalence or incidence of infection.\n\n\nFor more information on RSV surveillance and research please visit: https://www.cdc.gov/surveillance/nrevss and https://www.cdc.gov/rsv/research/us-surveillance.html"", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Laboratory-Surveillance/Respiratory-Syncytial-Virus-Laboratory-Data-NREVSS/52kb-ccu2'}"
"Respiratory Virus Response (RVR) United States Hospitalization Metrics by Jurisdiction, Timeseries – ARCHIVED",9t9r-e5a3,9t9r-e5a3_1736713009.922623_Respiratory_Virus_Response__RVR__United_States_Hospitalization_Metrics_by_Jurisdiction__Timeseries___ARCHIVED_20250112.csv.gz,2025-01-12 20:16:49 UTC,https://data.cdc.gov/Public-Health-Surveillance/Respiratory-Virus-Response-RVR-United-States-Hospi/9t9r-e5a3,"<b>Note:</b> After May 3, 2024, this dataset will no longer be updated because hospitals are no longer required to report data on COVID-19 and influenza hospital admissions, hospital capacity, or occupancy data to HHS through CDC’s National Healthcare Safety Network (NHSN). 

This dataset represents hospitalization data and metrics aggregated to country, HHS region, and state/territory. Hospitalization data are reported to CDC’s National Healthcare Safety Network, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN and included in this dataset represent aggregated counts and include metrics capturing information specific to hospital admissions, and inpatient and ICU bed capacity occupancy.

Data fields for new admissions of pediatric patients with confirmed COVID-19 for ages 0-4 years, 5-11 years, and 12-17 years were not required for reporting until February 2022; therefore, data for the following fields in this dataset begin on March 1, 2022 to account for delays in initial reporting of these fields:
 
adm_00_04_covid_confirmed
avg_adm_00_04_covid_confirmed
avg_adm_00_04_covid_confirmed_per_100k
adm_05_11_covid_confirmed
avg_adm_05_11_covid_confirmed
avg_adm_05_11_covid_confirmed_per_100k
adm_12_17_covid_confirmed
avg_adm_12_17_covid_confirmed
avg_adm_12_17_covid_confirmed_per_100k

Updated weekly each Friday at noon, ET.",,"{'name': 'Respiratory Virus Response (RVR) United States Hospitalization Metrics by Jurisdiction, Timeseries – ARCHIVED', 'id': '9t9r-e5a3', 'description': '<b>Note:</b> After May 3, 2024, this dataset will no longer be updated because hospitals are no longer required to report data on COVID-19 and influenza hospital admissions, hospital capacity, or occupancy data to HHS through CDC’s National Healthcare Safety Network (NHSN). \n\nThis dataset represents hospitalization data and metrics aggregated to country, HHS region, and state/territory. Hospitalization data are reported to CDC’s National Healthcare Safety Network, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN and included in this dataset represent aggregated counts and include metrics capturing information specific to hospital admissions, and inpatient and ICU bed capacity occupancy.\n\nData fields for new admissions of pediatric patients with confirmed COVID-19 for ages 0-4 years, 5-11 years, and 12-17 years were not required for reporting until February 2022; therefore, data for the following fields in this dataset begin on March 1, 2022 to account for delays in initial reporting of these fields:\n \nadm_00_04_covid_confirmed\navg_adm_00_04_covid_confirmed\navg_adm_00_04_covid_confirmed_per_100k\nadm_05_11_covid_confirmed\navg_adm_05_11_covid_confirmed\navg_adm_05_11_covid_confirmed_per_100k\nadm_12_17_covid_confirmed\navg_adm_12_17_covid_confirmed\navg_adm_12_17_covid_confirmed_per_100k\n\nUpdated weekly each Friday at noon, ET.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/Respiratory-Virus-Response-RVR-United-States-Hospi/9t9r-e5a3'}"
SAMHSA Synar Reports: Youth Tobacco Sales,escb-scz6,escb-scz6_1736720459.429498_SAMHSA_Synar_Reports__Youth_Tobacco_Sales_20250112.csv.gz,2025-01-12 22:20:59 UTC,https://data.cdc.gov/Policy/SAMHSA-Synar-Reports-Youth-Tobacco-Sales/escb-scz6,"1997-2018. Substance Abuse and Mental Health Services Administration (SAMHSA). Synar Reports: Youth Tobacco Sales. Policy – Youth Tobacco Sales. SAMHSA’s Synar Report on Youth Tobacco Sales presents findings on compliance of the Synar Amendment aimed at decreasing youth access to tobacco, and reviews progress in enforcing State youth tobacco access laws and in reducing the percentage of retailers selling tobacco products to minors.",,"{'name': 'SAMHSA Synar Reports: Youth Tobacco Sales', 'id': 'escb-scz6', 'description': '1997-2018. Substance Abuse and Mental Health Services Administration (SAMHSA). Synar Reports: Youth Tobacco Sales. Policy – Youth Tobacco Sales. SAMHSA’s Synar Report on Youth Tobacco Sales presents findings on compliance of the Synar Amendment aimed at decreasing youth access to tobacco, and reviews progress in enforcing State youth tobacco access laws and in reducing the percentage of retailers selling tobacco products to minors.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Policy/SAMHSA-Synar-Reports-Youth-Tobacco-Sales/escb-scz6'}"
SARS-CoV-2 Variant Proportions,jr58-6ysp,jr58-6ysp_1736709780.952154_DASH_-_Youth_Risk_Behavior_Surveillance_System__YRBSS___High_School____Including_Sexual_Orientation_20250112.csv.gz,2025-01-12 19:23:00 UTC,https://data.cdc.gov/Laboratory-Surveillance/SARS-CoV-2-Variant-Proportions/jr58-6ysp,"To identify and track SARS-CoV-2 variants, CDC uses genomic surveillance. CDC's national genomic surveillance system collects SARS-CoV-2 specimens for sequencing through the National SARS-CoV-2 Strain Surveillance (NS3) program, as well as SARS-CoV-2 sequences generated by commercial or academic laboratories contracted by CDC and state or local public health laboratories. Viral genomic sequences are analyzed and classified as a particular variant. The proportions of variants in a population are estimated nationally, by HHS region, and by jurisdiction. The thousands of sequences analyzed every week through CDC’s national genomic sequencing and bioinformatics efforts fuel this comprehensive and population-based U.S. surveillance system established to identify and monitor the spread of variants.

These data appear on the CDC COVID Data Tracker at the following URL: <a href=""https://covid.cdc.gov/covid-data-tracker/#variant-proportions"">https://covid.cdc.gov/covid-data-tracker/#variant-proportions</a>


For more information on how these data are generated and used to provide estimates of variant proportions, please see the following references:

<ul>
<li>Paul P, France AM, Aoki Y, et al. Genomic Surveillance for SARS-CoV-2 Variants Circulating in the United States, December 2020–May 2021. MMWR Morb Mortal Wkly Rep 2021;70:846–850. DOI: <a href=""http://dx.doi.org/10.15585/mmwr.mm7023a3"">http://dx.doi.org/10.15585/mmwr.mm7023a3</a></li>
<li>Lambrou AS, Shirk P, Steele MK, et al. Genomic Surveillance for SARS-CoV-2 Variants: Predominance of the Delta (B.1.617.2) and Omicron (B.1.1.529) Variants — United States, June 2021–January 2022. MMWR Morb Mortal Wkly Rep 2022;71:206–211. DOI: <a href=""http://dx.doi.org/10.15585/mmwr.mm7106a4"">http://dx.doi.org/10.15585/mmwr.mm7106a4</a></li></ul>",,"{'name': 'SARS-CoV-2 Variant Proportions', 'id': 'jr58-6ysp', 'description': 'To identify and track SARS-CoV-2 variants, CDC uses genomic surveillance. CDC\'s national genomic surveillance system collects SARS-CoV-2 specimens for sequencing through the National SARS-CoV-2 Strain Surveillance (NS3) program, as well as SARS-CoV-2 sequences generated by commercial or academic laboratories contracted by CDC and state or local public health laboratories. Viral genomic sequences are analyzed and classified as a particular variant. The proportions of variants in a population are estimated nationally, by HHS region, and by jurisdiction. The thousands of sequences analyzed every week through CDC’s national genomic sequencing and bioinformatics efforts fuel this comprehensive and population-based U.S. surveillance system established to identify and monitor the spread of variants.\n\nThese data appear on the CDC COVID Data Tracker at the following URL: <a href=""https://covid.cdc.gov/covid-data-tracker/#variant-proportions"">https://covid.cdc.gov/covid-data-tracker/#variant-proportions</a>\n\n\nFor more information on how these data are generated and used to provide estimates of variant proportions, please see the following references:\n\n<ul>\n<li>Paul P, France AM, Aoki Y, et al. Genomic Surveillance for SARS-CoV-2 Variants Circulating in the United States, December 2020–May 2021. MMWR Morb Mortal Wkly Rep 2021;70:846–850. DOI: <a href=""http://dx.doi.org/10.15585/mmwr.mm7023a3"">http://dx.doi.org/10.15585/mmwr.mm7023a3</a></li>\n<li>Lambrou AS, Shirk P, Steele MK, et al. Genomic Surveillance for SARS-CoV-2 Variants: Predominance of the Delta (B.1.617.2) and Omicron (B.1.1.529) Variants — United States, June 2021–January 2022. MMWR Morb Mortal Wkly Rep 2022;71:206–211. DOI: <a href=""http://dx.doi.org/10.15585/mmwr.mm7106a4"">http://dx.doi.org/10.15585/mmwr.mm7106a4</a></li></ul>', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Laboratory-Surveillance/SARS-CoV-2-Variant-Proportions/jr58-6ysp'}"
"SDOH Measures for Census Tract, ACS 2017-2021",e539-uadk,e539-uadk_1736723635.065724_SDOH_Measures_for_Census_Tract__ACS_2017-2021_20250112.csv.gz,2025-01-12 23:13:55 UTC,https://data.cdc.gov/500-Cities-Places/SDOH-Measures-for-Census-Tract-ACS-2017-2021/e539-uadk,"This dataset contains census tract-level social determinants of health (SDOH) measures from the American Community Survey 5-year data for the entire United States—50 states and the District of Columbia. Data were downloaded from data.census.gov using Census API and processed by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. These measures complement existing PLACES measures, including PLACES SDOH measures (e.g., health insurance, routine check-up). These data can be used together with PLACES data to identify which health and SDOH issues overlap in a community to help inform public health planning.  

To access spatial data, please use the ArcGIS Online service:  https://cdcarcgis.maps.arcgis.com/home/item.html?id=d51009ea78b54635be95c6ec9955ec17.",,"{'name': 'SDOH Measures for Census Tract, ACS 2017-2021', 'id': 'e539-uadk', 'description': 'This dataset contains census tract-level social determinants of health (SDOH) measures from the American Community Survey 5-year data for the entire United States—50 states and the District of Columbia. Data were downloaded from data.census.gov using Census API and processed by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. These measures complement existing PLACES measures, including PLACES SDOH measures (e.g., health insurance, routine check-up). These data can be used together with PLACES data to identify which health and SDOH issues overlap in a community to help inform public health planning.  \n\nTo access spatial data, please use the ArcGIS Online service:  https://cdcarcgis.maps.arcgis.com/home/item.html?id=d51009ea78b54635be95c6ec9955ec17.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/SDOH-Measures-for-Census-Tract-ACS-2017-2021/e539-uadk'}"
"SDOH Measures for County, ACS 2017-2021",i6u4-y3g4,i6u4-y3g4_1736719681.993686_SDOH_Measures_for_County__ACS_2017-2021_20250112.csv.gz,2025-01-12 22:08:01 UTC,https://data.cdc.gov/500-Cities-Places/SDOH-Measures-for-County-ACS-2017-2021/i6u4-y3g4,"This dataset contains county-level social determinants of health (SDOH) measures from the American Community Survey 5-year data for the entire United States—50 states and the District of Columbia. Data were downloaded from data.census.gov using Census API and processed by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. These measures complement existing PLACES measures, including PLACES SDOH measures (e.g., health insurance, routine check-up). These data can be used together with PLACES data to identify which health and SDOH issues overlap in a community to help inform public health planning.  

To access spatial data, please use the ArcGIS Online service:  https://cdcarcgis.maps.arcgis.com/home/item.html?id=d51009ea78b54635be95c6ec9955ec17.",,"{'name': 'SDOH Measures for County, ACS 2017-2021', 'id': 'i6u4-y3g4', 'description': 'This dataset contains county-level social determinants of health (SDOH) measures from the American Community Survey 5-year data for the entire United States—50 states and the District of Columbia. Data were downloaded from data.census.gov using Census API and processed by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. These measures complement existing PLACES measures, including PLACES SDOH measures (e.g., health insurance, routine check-up). These data can be used together with PLACES data to identify which health and SDOH issues overlap in a community to help inform public health planning.  \n\nTo access spatial data, please use the ArcGIS Online service:  https://cdcarcgis.maps.arcgis.com/home/item.html?id=d51009ea78b54635be95c6ec9955ec17.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/SDOH-Measures-for-County-ACS-2017-2021/i6u4-y3g4'}"
"SDOH Measures for Place, ACS 2017-2021",edkk-ze78,edkk-ze78_1736731578.334841_SDOH_Measures_for_Place__ACS_2017-2021_20250113.csv.gz,2025-01-13 01:26:18 UTC,https://data.cdc.gov/500-Cities-Places/SDOH-Measures-for-Place-ACS-2017-2021/edkk-ze78,"This dataset contains place-level (incorporated and census-designated places) social determinants of health (SDOH) measures from the American Community Survey 5-year data for the entire United States—50 states and the District of Columbia. Data were downloaded from data.census.gov using Census API and processed by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. These measures complement existing PLACES measures, including PLACES SDOH measures (e.g., health insurance, routine check-up). These data can be used together with PLACES data to identify which health and SDOH issues overlap in a community to help inform public health planning.  

To access spatial data, please use the ArcGIS Online service: https://cdcarcgis.maps.arcgis.com/home/item.html?id=d51009ea78b54635be95c6ec9955ec17.",,"{'name': 'SDOH Measures for Place, ACS 2017-2021', 'id': 'edkk-ze78', 'description': 'This dataset contains place-level (incorporated and census-designated places) social determinants of health (SDOH) measures from the American Community Survey 5-year data for the entire United States—50 states and the District of Columbia. Data were downloaded from data.census.gov using Census API and processed by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. These measures complement existing PLACES measures, including PLACES SDOH measures (e.g., health insurance, routine check-up). These data can be used together with PLACES data to identify which health and SDOH issues overlap in a community to help inform public health planning.  \n\nTo access spatial data, please use the ArcGIS Online service: https://cdcarcgis.maps.arcgis.com/home/item.html?id=d51009ea78b54635be95c6ec9955ec17.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/SDOH-Measures-for-Place-ACS-2017-2021/edkk-ze78'}"
"SDOH Measures for ZCTA, ACS 2017-2021",bumh-rgsq,bumh-rgsq_1736727151.465532_SDOH_Measures_for_ZCTA__ACS_2017-2021_20250113.csv.gz,2025-01-13 00:12:31 UTC,https://data.cdc.gov/500-Cities-Places/SDOH-Measures-for-ZCTA-ACS-2017-2021/bumh-rgsq,"This dataset contains ZCTA-level social determinants of health (SDOH) measures from the American Community Survey 5-year data for the entire United States—50 states and the District of Columbia. Data were downloaded from data.census.gov using Census API and processed by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. These measures complement existing PLACES measures, including PLACES SDOH measures (e.g., health insurance, routine check-up). These data can be used together with PLACES data to identify which health and SDOH issues overlap in a community to help inform public health planning.  

To access spatial data, please use the ArcGIS Online service:  https://cdcarcgis.maps.arcgis.com/home/item.html?id=d51009ea78b54635be95c6ec9955ec17.",,"{'name': 'SDOH Measures for ZCTA, ACS 2017-2021', 'id': 'bumh-rgsq', 'description': 'This dataset contains ZCTA-level social determinants of health (SDOH) measures from the American Community Survey 5-year data for the entire United States—50 states and the District of Columbia. Data were downloaded from data.census.gov using Census API and processed by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. These measures complement existing PLACES measures, including PLACES SDOH measures (e.g., health insurance, routine check-up). These data can be used together with PLACES data to identify which health and SDOH issues overlap in a community to help inform public health planning.  \n\nTo access spatial data, please use the ArcGIS Online service:  https://cdcarcgis.maps.arcgis.com/home/item.html?id=d51009ea78b54635be95c6ec9955ec17.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/500-Cities-Places/SDOH-Measures-for-ZCTA-ACS-2017-2021/bumh-rgsq'}"
Science Clips,biid-68vb,biid-68vb_1736720486.399491_Science_Clips_20250112.csv.gz,2025-01-12 22:21:26 UTC,https://data.cdc.gov/dataset/Science-Clips/biid-68vb,"CDC Science Clips is an online bibliographic digest featuring scientific articles and publications that are shared with the public health community each week, to enhance awareness of emerging scientific knowledge.",,"{'name': 'Science Clips', 'id': 'biid-68vb', 'description': 'CDC Science Clips is an online bibliographic digest featuring scientific articles and publications that are shared with the public health community each week, to enhance awareness of emerging scientific knowledge.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/dataset/Science-Clips/biid-68vb'}"
"Selected Trend Table from Health, United States, 2011. Diabetes prevalence and glycemic control among adults 20 years of age and over, by sex, age, and race and Hispanic origin: United States, selected years 1988 - 1994 through 2003 - 2006",crtu-weni,crtu-weni_1736718160.765389_Selected_Trend_Table_from_Health__United_States__2011._Diabetes_prevalence_and_glycemic_control_among_adults_20_years_of_age_and_over__by_sex__age__and_race_and_Hispanic_origin__United_States__selected_years_1988_-_1994_.csv.gz,2025-01-12 21:42:40 UTC,https://data.cdc.gov/Health-Statistics/Selected-Trend-Table-from-Health-United-States-201/crtu-weni,"Health, United States is an annual report on trends in health statistics, find more information at http://www.cdc.gov/nchs/hus.htm.",,"{'name': 'Selected Trend Table from Health, United States, 2011. Diabetes prevalence and glycemic control among adults 20 years of age and over, by sex, age, and race and Hispanic origin: United States, selected years 1988 - 1994 through 2003 - 2006', 'id': 'crtu-weni', 'description': 'Health, United States is an annual report on trends in health statistics, find more information at http://www.cdc.gov/nchs/hus.htm.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Health-Statistics/Selected-Trend-Table-from-Health-United-States-201/crtu-weni'}"
"Selected Trend Table from Health, United States, 2011. Health conditions among children under 18 years of age, by selected characteristics: United States, average annual, selected years 1997 - 1999 through 2008 - 2010",bbhn-4mdn,bbhn-4mdn_1736715711.407456_Selected_Trend_Table_from_Health__United_States__2011._Health_conditions_among_children_under_18_years_of_age__by_selected_characteristics__United_States__average_annual__selected_years_1997_-_1999_through_2008_-_2010_20.csv.gz,2025-01-12 21:01:51 UTC,https://data.cdc.gov/Health-Statistics/Selected-Trend-Table-from-Health-United-States-201/bbhn-4mdn,"Health, United States is an annual report on trends in health statistics, find more information at http://www.cdc.gov/nchs/hus.htm.",,"{'name': 'Selected Trend Table from Health, United States, 2011. Health conditions among children under 18 years of age, by selected characteristics: United States, average annual, selected years 1997 - 1999 through 2008 - 2010', 'id': 'bbhn-4mdn', 'description': 'Health, United States is an annual report on trends in health statistics, find more information at http://www.cdc.gov/nchs/hus.htm.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Health-Statistics/Selected-Trend-Table-from-Health-United-States-201/bbhn-4mdn'}"
"Selected Trend Table from Health, United States, 2011. Leading causes of death and numbers of deaths, by sex, race, and Hispanic origin: United States, 1980 and 2009",vp9c-m6nq,vp9c-m6nq_1736714634.589961_Selected_Trend_Table_from_Health__United_States__2011._Leading_causes_of_death_and_numbers_of_deaths__by_sex__race__and_Hispanic_origin__United_States__1980_and_2009_20250112.csv.gz,2025-01-12 20:43:54 UTC,https://data.cdc.gov/Health-Statistics/Selected-Trend-Table-from-Health-United-States-201/vp9c-m6nq,"Health, United States is an annual report on trends in health statistics, find more information at http://www.cdc.gov/nchs/hus.htm.",,"{'name': 'Selected Trend Table from Health, United States, 2011. Leading causes of death and numbers of deaths, by sex, race, and Hispanic origin: United States, 1980 and 2009', 'id': 'vp9c-m6nq', 'description': 'Health, United States is an annual report on trends in health statistics, find more information at http://www.cdc.gov/nchs/hus.htm.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Health-Statistics/Selected-Trend-Table-from-Health-United-States-201/vp9c-m6nq'}"
"Selected Trend Table from Health, United States, 2011. Low birthweight live births, by race and Hispanic origin of mother, and state: United States, 2000 - 2002, 2003 - 2005, and 2006 - 2008",m4es-3af4,m4es-3af4_1736724197.482778_Selected_Trend_Table_from_Health__United_States__2011._Low_birthweight_live_births__by_race_and_Hispanic_origin_of_mother__and_state__United_States__2000_-_2002__2003_-_2005__and_2006_-_2008_20250112.csv.gz,2025-01-12 23:23:17 UTC,https://data.cdc.gov/Health-Statistics/Selected-Trend-Table-from-Health-United-States-201/m4es-3af4,"Health, United States is an annual report on trends in health statistics, find more information at http://www.cdc.gov/nchs/hus.htm.",,"{'name': 'Selected Trend Table from Health, United States, 2011. Low birthweight live births, by race and Hispanic origin of mother, and state: United States, 2000 - 2002, 2003 - 2005, and 2006 - 2008', 'id': 'm4es-3af4', 'description': 'Health, United States is an annual report on trends in health statistics, find more information at http://www.cdc.gov/nchs/hus.htm.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Health-Statistics/Selected-Trend-Table-from-Health-United-States-201/m4es-3af4'}"
"Selected Trend Table from Health, United States, 2011. Vaccination coverage among children 19 - 35 months of age for selected diseases, by race, Hispanic origin, poverty level, and location of residence in metropolitan statistical area: United States, sel",nkri-ptxd,nkri-ptxd_1736718597.627776_Selected_Trend_Table_from_Health__United_States__2011._Vaccination_coverage_among_children_19_-_35_months_of_age_for_selected_diseases__by_race__Hispanic_origin__poverty_level__and_location_of_residence_in_metropolitan_s.csv.gz,2025-01-12 21:49:57 UTC,https://data.cdc.gov/Health-Statistics/Selected-Trend-Table-from-Health-United-States-201/nkri-ptxd,"Health, United States is an annual report on trends in health statistics, find more information at http://www.cdc.gov/nchs/hus.htm.",,"{'name': 'Selected Trend Table from Health, United States, 2011. Vaccination coverage among children 19 - 35 months of age for selected diseases, by race, Hispanic origin, poverty level, and location of residence in metropolitan statistical area: United States, sel', 'id': 'nkri-ptxd', 'description': 'Health, United States is an annual report on trends in health statistics, find more information at http://www.cdc.gov/nchs/hus.htm.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Health-Statistics/Selected-Trend-Table-from-Health-United-States-201/nkri-ptxd'}"
Sex at Birth Related Disparities in Cigarette Smoking Among Adults,23ai-eekx,23ai-eekx_1736738925.133957_Sex_at_Birth_Related_Disparities_in_Cigarette_Smoking_Among_Adults_20250113.csv.gz,2025-01-13 03:28:45 UTC,https://data.cdc.gov/Survey-Data/Sex-at-Birth-Related-Disparities-in-Cigarette-Smok/23ai-eekx,"2011–2023. The tobacco disparities dashboard data utilized the Behavioral Risk Factor Surveillance System (BRFSS) data to measure cigarette smoking disparities by sex. The disparity value is the relative difference in the cigarette smoking prevalence among adults 18 and older in a focus group divided by the cigarette smoking prevalence among adults 18 and older in a reference group. A disparity value above 1 indicates that adults in the focus group smoke cigarettes at a higher rate, as reflected by the disparity value, compared with the rate among adults in the reference group who smoke cigarettes. A disparity value below 1 indicates that adults in the focus group smoke cigarettes at a lower rate, as reflected by the disparity value, compared with the rate among adults in the reference group who smoke cigarettes. A disparity value of 1 means there is no relative difference in the rate of adults who smoke cigarettes for the two groups compared.","<https://data.cdc.gov/Survey-Data/Sex-at-Birth-Related-Disparities-in-Cigarette-Smok/23ai-eekx>; rel=""original"",
<http://web.archive.org/web/timemap/link/https://data.cdc.gov/Survey-Data/Sex-at-Birth-Related-Disparities-in-Cigarette-Smok/23ai-eekx>; rel=""self""; type=""application/link-format""; from=""Wed, 29 May 2024 14:43:23 GMT"",
<http://web.archive.org/web/https://data.cdc.gov/Survey-Data/Sex-at-Birth-Related-Disparities-in-Cigarette-Smok/23ai-eekx>; rel=""timegate"",
<http://web.archive.org/web/20240529144323/https://data.cdc.gov/Survey-Data/Sex-at-Birth-Related-Disparities-in-Cigarette-Smok/23ai-eekx>; rel=""first memento""; datetime=""Wed, 29 May 2024 14:43:23 GMT"",
<http://web.archive.org/web/20240927153232/https://data.cdc.gov/Survey-Data/Sex-at-Birth-Related-Disparities-in-Cigarette-Smok/23ai-eekx>; rel=""memento""; datetime=""Fri, 27 Sep 2024 15:32:32 GMT"",
<http://web.archive.org/web/20241127181345/https://data.cdc.gov/Survey-Data/Sex-at-Birth-Related-Disparities-in-Cigarette-Smok/23ai-eekx>; rel=""memento""; datetime=""Wed, 27 Nov 2024 18:13:45 GMT"",
<http://web.archive.org/web/20250201003406/https://data.cdc.gov/Survey-Data/Sex-at-Birth-Related-Disparities-in-Cigarette-Smok/23ai-eekx>; rel=""memento""; datetime=""Sat, 01 Feb 2025 00:34:06 GMT"",
<http://web.archive.org/web/20250201215801/https://data.cdc.gov/Survey-Data/Sex-at-Birth-Related-Disparities-in-Cigarette-Smok/23ai-eekx>; rel=""memento""; datetime=""Sat, 01 Feb 2025 21:58:01 GMT"",
<http://web.archive.org/web/20250202085929/https://data.cdc.gov/Survey-Data/Sex-at-Birth-Related-Disparities-in-Cigarette-Smok/23ai-eekx>; rel=""memento""; datetime=""Sun, 02 Feb 2025 08:59:29 GMT"",
<http://web.archive.org/web/20250205014628/https://data.cdc.gov/Survey-Data/Sex-at-Birth-Related-Disparities-in-Cigarette-Smok/23ai-eekx>; rel=""memento""; datetime=""Wed, 05 Feb 2025 01:46:28 GMT"",
<http://web.archive.org/web/20250205094823/https://data.cdc.gov/Survey-Data/Sex-at-Birth-Related-Disparities-in-Cigarette-Smok/23ai-eekx>; rel=""memento""; datetime=""Wed, 05 Feb 2025 09:48:23 GMT"",
<http://web.archive.org/web/20250211195552/https://data.cdc.gov/Survey-Data/Sex-at-Birth-Related-Disparities-in-Cigarette-Smok/23ai-eekx/>; rel=""memento""; datetime=""Tue, 11 Feb 2025 19:55:52 GMT"",
<http://web.archive.org/web/20250211195610/https://data.cdc.gov/Survey-Data/Sex-at-Birth-Related-Disparities-in-Cigarette-Smok/23ai-eekx>; rel=""memento""; datetime=""Tue, 11 Feb 2025 19:56:10 GMT"",
<http://web.archive.org/web/20250211195615/https://data.cdc.gov/Survey-Data/Sex-at-Birth-Related-Disparities-in-Cigarette-Smok/23ai-eekx>; rel=""memento""; datetime=""Tue, 11 Feb 2025 19:56:15 GMT""
","{'name': 'Sex at Birth Related Disparities in Cigarette Smoking Among Adults', 'id': '23ai-eekx', 'description': '2011–2023. The tobacco disparities dashboard data utilized the Behavioral Risk Factor Surveillance System (BRFSS) data to measure cigarette smoking disparities by sex. The disparity value is the relative difference in the cigarette smoking prevalence among adults 18 and older in a focus group divided by the cigarette smoking prevalence among adults 18 and older in a reference group. A disparity value above 1 indicates that adults in the focus group smoke cigarettes at a higher rate, as reflected by the disparity value, compared with the rate among adults in the reference group who smoke cigarettes. A disparity value below 1 indicates that adults in the focus group smoke cigarettes at a lower rate, as reflected by the disparity value, compared with the rate among adults in the reference group who smoke cigarettes. A disparity value of 1 means there is no relative difference in the rate of adults who smoke cigarettes for the two groups compared.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Survey-Data/Sex-at-Birth-Related-Disparities-in-Cigarette-Smok/23ai-eekx'}"
"Smoking-Attributable Mortality, Morbidity, and Economic Costs (SAMMEC) - Smoking-Attributable Expenditures (SAE)",ezab-8sq5,ezab-8sq5_1736710108.350156_Smoking-Attributable_Mortality__Morbidity__and_Economic_Costs__SAMMEC__-_Smoking-Attributable_Expenditures__SAE__20250112.csv.gz,2025-01-12 19:28:28 UTC,https://data.cdc.gov/Health-Consequences-and-Costs/Smoking-Attributable-Mortality-Morbidity-and-Econo/ezab-8sq5,"2005-2009. SAMMEC - Smoking-Attributable Mortality, Morbidity, and Economic Costs. Smoking-attributable expenditures (SAEs) are excess health care expenditures attributable to cigarette smoking by type of service among adults ages 19 years of age and older.","<https://data.cdc.gov/Health-Consequences-and-Costs/Smoking-Attributable-Mortality-Morbidity-and-Econo/ezab-8sq5>; rel=""original"",
<http://web.archive.org/web/timemap/link/https://data.cdc.gov/Health-Consequences-and-Costs/Smoking-Attributable-Mortality-Morbidity-and-Econo/ezab-8sq5>; rel=""self""; type=""application/link-format""; from=""Thu, 10 Aug 2023 10:03:48 GMT"",
<http://web.archive.org/web/https://data.cdc.gov/Health-Consequences-and-Costs/Smoking-Attributable-Mortality-Morbidity-and-Econo/ezab-8sq5>; rel=""timegate"",
<http://web.archive.org/web/20230810100348/https://data.cdc.gov/Health-Consequences-and-Costs/Smoking-Attributable-Mortality-Morbidity-and-Econo/ezab-8sq5>; rel=""first memento""; datetime=""Thu, 10 Aug 2023 10:03:48 GMT"",
<http://web.archive.org/web/20230810223604/https://data.cdc.gov/Health-Consequences-and-Costs/Smoking-Attributable-Mortality-Morbidity-and-Econo/ezab-8sq5>; rel=""memento""; datetime=""Thu, 10 Aug 2023 22:36:04 GMT"",
<http://web.archive.org/web/20240303115207/https://data.cdc.gov/Health-Consequences-and-Costs/Smoking-Attributable-Mortality-Morbidity-and-Econo/ezab-8sq5>; rel=""memento""; datetime=""Sun, 03 Mar 2024 11:52:07 GMT"",
<http://web.archive.org/web/20240625112327/https://data.cdc.gov/Health-Consequences-and-Costs/Smoking-Attributable-Mortality-Morbidity-and-Econo/ezab-8sq5>; rel=""memento""; datetime=""Tue, 25 Jun 2024 11:23:27 GMT"",
<http://web.archive.org/web/20241011014851/https://data.cdc.gov/Health-Consequences-and-Costs/Smoking-Attributable-Mortality-Morbidity-and-Econo/ezab-8sq5>; rel=""memento""; datetime=""Fri, 11 Oct 2024 01:48:51 GMT"",
<http://web.archive.org/web/20241123091128/https://data.cdc.gov/Health-Consequences-and-Costs/Smoking-Attributable-Mortality-Morbidity-and-Econo/ezab-8sq5>; rel=""memento""; datetime=""Sat, 23 Nov 2024 09:11:28 GMT"",
<http://web.archive.org/web/20241127211415/https://data.cdc.gov/Health-Consequences-and-Costs/Smoking-Attributable-Mortality-Morbidity-and-Econo/ezab-8sq5>; rel=""memento""; datetime=""Wed, 27 Nov 2024 21:14:15 GMT"",
<http://web.archive.org/web/20241128083948/https://data.cdc.gov/Health-Consequences-and-Costs/Smoking-Attributable-Mortality-Morbidity-and-Econo/ezab-8sq5>; rel=""memento""; datetime=""Thu, 28 Nov 2024 08:39:48 GMT"",
<http://web.archive.org/web/20241129001544/https://data.cdc.gov/Health-Consequences-and-Costs/Smoking-Attributable-Mortality-Morbidity-and-Econo/ezab-8sq5>; rel=""memento""; datetime=""Fri, 29 Nov 2024 00:15:44 GMT"",
<http://web.archive.org/web/20241210101130/https://data.cdc.gov/Health-Consequences-and-Costs/Smoking-Attributable-Mortality-Morbidity-and-Econo/ezab-8sq5>; rel=""memento""; datetime=""Tue, 10 Dec 2024 10:11:30 GMT"",
<http://web.archive.org/web/20250113073148/https://data.cdc.gov/Health-Consequences-and-Costs/Smoking-Attributable-Mortality-Morbidity-and-Econo/ezab-8sq5>; rel=""memento""; datetime=""Mon, 13 Jan 2025 07:31:48 GMT"",
<http://web.archive.org/web/20250131192444/https://data.cdc.gov/Health-Consequences-and-Costs/Smoking-Attributable-Mortality-Morbidity-and-Econo/ezab-8sq5>; rel=""memento""; datetime=""Fri, 31 Jan 2025 19:24:44 GMT"",
<http://web.archive.org/web/20250201005310/https://data.cdc.gov/Health-Consequences-and-Costs/Smoking-Attributable-Mortality-Morbidity-and-Econo/ezab-8sq5>; rel=""memento""; datetime=""Sat, 01 Feb 2025 00:53:10 GMT"",
<http://web.archive.org/web/20250201204845/https://data.cdc.gov/Health-Consequences-and-Costs/Smoking-Attributable-Mortality-Morbidity-and-Econo/ezab-8sq5>; rel=""memento""; datetime=""Sat, 01 Feb 2025 20:48:45 GMT"",
<http://web.archive.org/web/20250202081833/https://data.cdc.gov/Health-Consequences-and-Costs/Smoking-Attributable-Mortality-Morbidity-and-Econo/ezab-8sq5>; rel=""memento""; datetime=""Sun, 02 Feb 2025 08:18:33 GMT"",
<http://web.archive.org/web/20250202091839/https://data.cdc.gov/Health-Consequences-and-Costs/Smoking-Attributable-Mortality-Morbidity-and-Econo/ezab-8sq5>; rel=""memento""; datetime=""Sun, 02 Feb 2025 09:18:39 GMT"",
<http://web.archive.org/web/20250202204415/https://data.cdc.gov/Health-Consequences-and-Costs/Smoking-Attributable-Mortality-Morbidity-and-Econo/ezab-8sq5>; rel=""memento""; datetime=""Sun, 02 Feb 2025 20:44:15 GMT"",
<http://web.archive.org/web/20250206093404/https://data.cdc.gov/Health-Consequences-and-Costs/Smoking-Attributable-Mortality-Morbidity-and-Econo/ezab-8sq5>; rel=""memento""; datetime=""Thu, 06 Feb 2025 09:34:04 GMT"",
<http://web.archive.org/web/20250206093405/https://data.cdc.gov/Health-Consequences-and-Costs/Smoking-Attributable-Mortality-Morbidity-and-Econo/ezab-8sq5/>; rel=""memento""; datetime=""Thu, 06 Feb 2025 09:34:05 GMT"",
<http://web.archive.org/web/20250206093423/https://data.cdc.gov/Health-Consequences-and-Costs/Smoking-Attributable-Mortality-Morbidity-and-Econo/ezab-8sq5>; rel=""memento""; datetime=""Thu, 06 Feb 2025 09:34:23 GMT""
","{'name': 'Smoking-Attributable Mortality, Morbidity, and Economic Costs (SAMMEC) - Smoking-Attributable Expenditures (SAE)', 'id': 'ezab-8sq5', 'description': '2005-2009. SAMMEC - Smoking-Attributable Mortality, Morbidity, and Economic Costs. Smoking-attributable expenditures (SAEs) are excess health care expenditures attributable to cigarette smoking by type of service among adults ages 19 years of age and older.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Health-Consequences-and-Costs/Smoking-Attributable-Mortality-Morbidity-and-Econo/ezab-8sq5'}"
"Smoking-Attributable Mortality, Morbidity, and Economic Costs (SAMMEC) - Smoking-Attributable Mortality (SAM)",4yyu-3s69,4yyu-3s69_1736711677.161932_Smoking-Attributable_Mortality__Morbidity__and_Economic_Costs__SAMMEC__-_Smoking-Attributable_Mortality__SAM__20250112.csv.gz,2025-01-12 19:54:37 UTC,https://data.cdc.gov/Health-Consequences-and-Costs/Smoking-Attributable-Mortality-Morbidity-and-Econo/4yyu-3s69,"2005-2009. SAMMEC - Smoking-Attributable Mortality, Morbidity, and Economic Costs. Smoking-attributable mortality (SAM) is the number of deaths caused by cigarette smoking based on diseases for which the U.S. Surgeon General has determined that cigarette smoking is a causal factor.",,"{'name': 'Smoking-Attributable Mortality, Morbidity, and Economic Costs (SAMMEC) - Smoking-Attributable Mortality (SAM)', 'id': '4yyu-3s69', 'description': '2005-2009. SAMMEC - Smoking-Attributable Mortality, Morbidity, and Economic Costs. Smoking-attributable mortality (SAM) is the number of deaths caused by cigarette smoking based on diseases for which the U.S. Surgeon General has determined that cigarette smoking is a causal factor.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Health-Consequences-and-Costs/Smoking-Attributable-Mortality-Morbidity-and-Econo/4yyu-3s69'}"
SocrataDataRefresh_Test,gt5d-asw4,gt5d-asw4_1736738992.410619_SocrataDataRefresh_Test_20250113.csv.gz,2025-01-13 03:29:52 UTC,https://data.cdc.gov/dataset/SocrataDataRefresh_Test/gt5d-asw4,,,"{'name': 'SocrataDataRefresh_Test', 'id': 'gt5d-asw4', 'description': '', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/dataset/SocrataDataRefresh_Test/gt5d-asw4'}"
"Standardized Precipitation Evapotranspiration Index, 1895-2016",6nbv-ifib,6nbv-ifib_1736723752.690085_Standardized_Precipitation_Evapotranspiration_Index__1895-2016_20250112.csv.gz,2025-01-12 23:15:52 UTC,https://data.cdc.gov/Environmental-Health-Toxicology/Standardized-Precipitation-Evapotranspiration-Inde/6nbv-ifib,"This dataset provides data at the county level for the contiguous United States. It includes monthly Standardized Precipitation Evapotranspiration Index (SPEI)  data from 1895-2016 provided by the Cooperative Institute for Climate and Satellites - North Carolina. Please refer to the metadata attachment for more information.

These data are used by the CDC's National Environmental Public Health Tracking Network to generate drought measures. Learn more about drought on the Tracking Network's website: https://ephtracking.cdc.gov/showDroughtLanding.

By using these data, you signify your agreement to comply with the following requirements: 
1.	Use the data for statistical reporting and analysis only. 
2.	Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals. 
3.	Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov. 
4.	Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating. 
5.	Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC. 
6.	Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking. 

Problems or Questions? 
Email trackingsupport@cdc.gov.",,"{'name': 'Standardized Precipitation Evapotranspiration Index, 1895-2016', 'id': '6nbv-ifib', 'description': ""This dataset provides data at the county level for the contiguous United States. It includes monthly Standardized Precipitation Evapotranspiration Index (SPEI)  data from 1895-2016 provided by the Cooperative Institute for Climate and Satellites - North Carolina. Please refer to the metadata attachment for more information.\r\n\r\nThese data are used by the CDC's National Environmental Public Health Tracking Network to generate drought measures. Learn more about drought on the Tracking Network's website: https://ephtracking.cdc.gov/showDroughtLanding.\r\n\r\nBy using these data, you signify your agreement to comply with the following requirements: \r\n1.\tUse the data for statistical reporting and analysis only. \r\n2.\tDo not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals. \r\n3.\tDo not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov. \r\n4.\tDo not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating. \r\n5.\tAcknowledge, in all reports or presentations based on these data, the original source of the data and CDC. \r\n6.\tSuggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking. \r\n\r\nProblems or Questions? \r\nEmail trackingsupport@cdc.gov."", 'datatype': 'tabular', 'keywords': ['health', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Environmental-Health-Toxicology/Standardized-Precipitation-Evapotranspiration-Inde/6nbv-ifib'}"
"Standardized Precipitation Index, 1895-2016",xbk2-5i4e,xbk2-5i4e_1736723107.451875_Standardized_Precipitation_Index__1895-2016_20250112.csv.gz,2025-01-12 23:05:07 UTC,https://data.cdc.gov/Environmental-Health-Toxicology/Standardized-Precipitation-Index-1895-2016/xbk2-5i4e,"This dataset provides data at the county level for the contiguous United States. It includes monthly Standardized Precipitation Index (SPI) data from 1895-2016 provided by the Cooperative Institute for Climate and Satellites - North Carolina. Please refer to the metadata attachment for more information.

Learn more about drought on the Tracking Network's website: https://ephtracking.cdc.gov/showDroughtLanding.

By using these data, you signify your agreement to comply with the following requirements: 
1.	Use the data for statistical reporting and analysis only. 
2.	Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals. 
3.	Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov. 
4.	Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating. 
5.	Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC. 
6.	Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking. 

Problems or Questions? 
Email trackingsupport@cdc.gov.",,"{'name': 'Standardized Precipitation Index, 1895-2016', 'id': 'xbk2-5i4e', 'description': ""This dataset provides data at the county level for the contiguous United States. It includes monthly Standardized Precipitation Index (SPI) data from 1895-2016 provided by the Cooperative Institute for Climate and Satellites - North Carolina. Please refer to the metadata attachment for more information.\r\n\r\nLearn more about drought on the Tracking Network's website: https://ephtracking.cdc.gov/showDroughtLanding.\r\n\r\nBy using these data, you signify your agreement to comply with the following requirements: \r\n1.\tUse the data for statistical reporting and analysis only. \r\n2.\tDo not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals. \r\n3.\tDo not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov. \r\n4.\tDo not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating. \r\n5.\tAcknowledge, in all reports or presentations based on these data, the original source of the data and CDC. \r\n6.\tSuggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking. \r\n\r\nProblems or Questions? \r\nEmail trackingsupport@cdc.gov."", 'datatype': 'tabular', 'keywords': ['health', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Environmental-Health-Toxicology/Standardized-Precipitation-Index-1895-2016/xbk2-5i4e'}"
"State Specific Influenza Vaccination Coverage Among Women With Live Birth- PRAMS, 2009-10 Influenza Season",mmi4-8ajr,mmi4-8ajr_1736710350.659539_State_Specific_Influenza_Vaccination_Coverage_Among_Women_With_Live_Birth-_PRAMS__2009-10_Influenza_Season_20250112.csv.gz,2025-01-12 19:32:30 UTC,https://data.cdc.gov/Pregnancy-Vaccination/State-Specific-Influenza-Vaccination-Coverage-Amon/mmi4-8ajr,For more information about the Pregnancy Risk Assessment Monitoring System please visit http://www.cdc.gov/prams/. See http://www.cdc.gov/mmwr/preview/mmwrhtml/mm6107a1.htm?s_cid=mm6107a1_e for the MMWR article.,,"{'name': 'State Specific Influenza Vaccination Coverage Among Women With Live Birth- PRAMS, 2009-10 Influenza Season', 'id': 'mmi4-8ajr', 'description': 'For more information about the Pregnancy Risk Assessment Monitoring System please visit http://www.cdc.gov/prams/. See http://www.cdc.gov/mmwr/preview/mmwrhtml/mm6107a1.htm?s_cid=mm6107a1_e for the MMWR article.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Pregnancy-Vaccination/State-Specific-Influenza-Vaccination-Coverage-Amon/mmi4-8ajr'}"
State Tobacco Related Disparities Dashboard Data,jxu8-x79m,jxu8-x79m_1736735770.576543_State_Tobacco_Related_Disparities_Dashboard_Data_20250113.csv.gz,2025-01-13 02:36:10 UTC,https://data.cdc.gov/Survey-Data/State-Tobacco-Related-Disparities-Dashboard-Data/jxu8-x79m,"2011–2023. The tobacco disparities dashboard data utilized the Behavioral Risk Factor Surveillance System (BRFSS) data to measure cigarette smoking disparities by age, disability, education, employment, income, mental health status, race and ethnicity, sex, and urban-rural status. The disparity value is the relative difference in the cigarette smoking prevalence among adults 18 and older in a focus group divided by the cigarette smoking prevalence among adults 18 and older in a reference group. A disparity value above 1 indicates that adults in the focus group smoke cigarettes at a higher rate, as reflected by the disparity value, compared with the rate among adults in the reference group who smoke cigarettes. A disparity value below 1 indicates that adults in the focus group smoke cigarettes at a lower rate, as reflected by the disparity value, compared with the rate among adults in the reference group who smoke cigarettes. A disparity value of 1 means there is no relative difference in the rate of adults who smoke cigarettes for the two groups compared.",,"{'name': 'State Tobacco Related Disparities Dashboard Data', 'id': 'jxu8-x79m', 'description': '2011–2023. The tobacco disparities dashboard data utilized the Behavioral Risk Factor Surveillance System (BRFSS) data to measure cigarette smoking disparities by age, disability, education, employment, income, mental health status, race and ethnicity, sex, and urban-rural status. The disparity value is the relative difference in the cigarette smoking prevalence among adults 18 and older in a focus group divided by the cigarette smoking prevalence among adults 18 and older in a reference group. A disparity value above 1 indicates that adults in the focus group smoke cigarettes at a higher rate, as reflected by the disparity value, compared with the rate among adults in the reference group who smoke cigarettes. A disparity value below 1 indicates that adults in the focus group smoke cigarettes at a lower rate, as reflected by the disparity value, compared with the rate among adults in the reference group who smoke cigarettes. A disparity value of 1 means there is no relative difference in the rate of adults who smoke cigarettes for the two groups compared.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Survey-Data/State-Tobacco-Related-Disparities-Dashboard-Data/jxu8-x79m'}"
State-Level Restrictions on Vaccine Mandate – Currently in Effect,nmdn-2xuz,nmdn-2xuz_1736736700.462555_State-Level_Restrictions_on_Vaccine_Mandate___Currently_in_Effect_20250113.csv.gz,2025-01-13 02:51:40 UTC,https://data.cdc.gov/Policy-Surveillance/State-Level-Restrictions-on-Vaccine-Mandate-Curren/nmdn-2xuz,"This dataset contains vaccine mandate prohibitions that were issued by 50 states, 5 territories, and the District of Columbia currently in effect. State and territorial laws are collected from publicly available government websites and cataloged and coded in HHS Protect by one coder with one or more additional coders conducting quality assurance.
Data were collected to determine when certain groups were prohibited from issuing vaccine mandates and to what groups those prohibitions applied. Data can be used to determine the status of state-issued vaccine requirement prohibitions for certain groups as of the date of last update. 
These data are derived from publicly available state and territorial laws and official policy documents found by the CDC, Mitigation Policy Analysis Unit, and the CDC, Center for State, Tribal, Local, and Territorial Support, Public Health Law Program from March 1, 2020 through _____. These data will be updated as new laws are collected. Any orders not available through publicly accessible websites are not included in this dataset. Recommendations not included in a law are not included in these data. Effective and expiration dates were coded using only the date provided in the law. These data do not necessarily represent the official position of the Centers for Disease Control and Prevention.",,"{'name': 'State-Level Restrictions on Vaccine Mandate – Currently in Effect', 'id': 'nmdn-2xuz', 'description': 'This dataset contains vaccine mandate prohibitions that were issued by 50 states, 5 territories, and the District of Columbia currently in effect. State and territorial laws are collected from publicly available government websites and cataloged and coded in HHS Protect by one coder with one or more additional coders conducting quality assurance.\nData were collected to determine when certain groups were prohibited from issuing vaccine mandates and to what groups those prohibitions applied. Data can be used to determine the status of state-issued vaccine requirement prohibitions for certain groups as of the date of last update. \nThese data are derived from publicly available state and territorial laws and official policy documents found by the CDC, Mitigation Policy Analysis Unit, and the CDC, Center for State, Tribal, Local, and Territorial Support, Public Health Law Program from March 1, 2020 through _____. These data will be updated as new laws are collected. Any orders not available through publicly accessible websites are not included in this dataset. Recommendations not included in a law are not included in these data. Effective and expiration dates were coded using only the date provided in the law. These data do not necessarily represent the official position of the Centers for Disease Control and Prevention.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Policy-Surveillance/State-Level-Restrictions-on-Vaccine-Mandate-Curren/nmdn-2xuz'}"
State-Level Restrictions on Vaccine Mandates – All,3m2r-fh4s,3m2r-fh4s_1736737024.892323_State-Level_Restrictions_on_Vaccine_Mandates___All_20250113.csv.gz,2025-01-13 02:57:04 UTC,https://data.cdc.gov/Policy-Surveillance/State-Level-Restrictions-on-Vaccine-Mandates-All/3m2r-fh4s,": This dataset contains all vaccine mandate prohibitions that were issued as of ____, by 50 states, 5 territories, and the District of Columbia regardless of whether the law has been superseded by a subsequent law, postponed by subsequent law, or otherwise modified. State and territorial laws are collected from publicly available government websites and cataloged and coded in HHS Protect by one coder with one or more additional coders conducting quality assurance. 
Data were collected to determine when certain groups were prohibited from issuing vaccine mandates and to what groups those prohibitions applied. Data can be used to determine when states announced and began prohibiting for different groups from being required to be vaccinated. 
These data are derived from publicly available state and territorial laws and official policy documents found by the CDC, COVID-19 Mitigation Policy Analysis Unit, and the CDC, Center for State, Tribal, Local, and Territorial Support, Public Health Law Program from March 1, 2020 through _____. These data will be updated as new laws are collected. Any orders not available through publicly accessible websites are not included in this dataset. Recommendations not included in a law are not included in these data. Effective and expiration dates were coded using only the date provided in the law. These data do not necessarily represent the official position of the Centers for Disease Control and Prevention.",,"{'name': 'State-Level Restrictions on Vaccine Mandates – All', 'id': '3m2r-fh4s', 'description': ': This dataset contains all vaccine mandate prohibitions that were issued as of ____, by 50 states, 5 territories, and the District of Columbia regardless of whether the law has been superseded by a subsequent law, postponed by subsequent law, or otherwise modified. State and territorial laws are collected from publicly available government websites and cataloged and coded in HHS Protect by one coder with one or more additional coders conducting quality assurance. \nData were collected to determine when certain groups were prohibited from issuing vaccine mandates and to what groups those prohibitions applied. Data can be used to determine when states announced and began prohibiting for different groups from being required to be vaccinated. \nThese data are derived from publicly available state and territorial laws and official policy documents found by the CDC, COVID-19 Mitigation Policy Analysis Unit, and the CDC, Center for State, Tribal, Local, and Territorial Support, Public Health Law Program from March 1, 2020 through _____. These data will be updated as new laws are collected. Any orders not available through publicly accessible websites are not included in this dataset. Recommendations not included in a law are not included in these data. Effective and expiration dates were coded using only the date provided in the law. These data do not necessarily represent the official position of the Centers for Disease Control and Prevention.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Policy-Surveillance/State-Level-Restrictions-on-Vaccine-Mandates-All/3m2r-fh4s'}"
State-Level Vaccine Mandates - All,kw6u-z8u2,kw6u-z8u2_1736726894.992719_State-Level_Vaccine_Mandates_-_All_20250113.csv.gz,2025-01-13 00:08:14 UTC,https://data.cdc.gov/Policy-Surveillance/State-Level-Vaccine-Mandates-All/kw6u-z8u2,"This dataset contains all state and territorial vaccine mandates that were issued from July 26, 2021 to ____, regardless of whether the law has been superseded by a subsequent law, postponed by subsequent law, or otherwise modified. State and territorial laws are collected from publicly available government websites and cataloged and coded using HHS Protect by one coder with one or more additional coders conducting quality assurance. 
Data were collected to determine when certain groups were subject to vaccine mandates. Data can be used to determine when states announced and required different groups to be vaccinated. 
These data are derived from publicly available state and territorial laws and official policy documents found by CDC’s COVID-19 Mitigation Policy Analysis Unit, and CDC’s Center for State, Tribal, Local, and Territorial Support, Public Health Law Program from July 26, 2021 through _____. These data will be updated as new laws are collected. Any orders not available through publicly accessible websites are not included in this dataset. Recommendations not included in a law are not included in these data. Effective and expiration dates were coded using only the date provided in the law. These data do not necessarily represent the official position of the Centers for Disease Control and Prevention.",,"{'name': 'State-Level Vaccine Mandates - All', 'id': 'kw6u-z8u2', 'description': 'This dataset contains all state and territorial vaccine mandates that were issued from July 26, 2021 to ____, regardless of whether the law has been superseded by a subsequent law, postponed by subsequent law, or otherwise modified. State and territorial laws are collected from publicly available government websites and cataloged and coded using HHS Protect by one coder with one or more additional coders conducting quality assurance. \nData were collected to determine when certain groups were subject to vaccine mandates. Data can be used to determine when states announced and required different groups to be vaccinated. \nThese data are derived from publicly available state and territorial laws and official policy documents found by CDC’s COVID-19 Mitigation Policy Analysis Unit, and CDC’s Center for State, Tribal, Local, and Territorial Support, Public Health Law Program from July 26, 2021 through _____. These data will be updated as new laws are collected. Any orders not available through publicly accessible websites are not included in this dataset. Recommendations not included in a law are not included in these data. Effective and expiration dates were coded using only the date provided in the law. These data do not necessarily represent the official position of the Centers for Disease Control and Prevention.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Policy-Surveillance/State-Level-Vaccine-Mandates-All/kw6u-z8u2'}"
State-Level Vaccine Mandates - Currently in Effect,c8as-e7h6,c8as-e7h6_1736736499.334107_State-Level_Vaccine_Mandates_-_Currently_in_Effect_20250113.csv.gz,2025-01-13 02:48:19 UTC,https://data.cdc.gov/Policy-Surveillance/State-Level-Vaccine-Mandates-Currently-in-Effect/c8as-e7h6,"This dataset contains state and territorial vaccine mandates currently in effect as of ____ that require the group listed to be fully vaccinated. State and territorial laws are collected from publicly available government websites and cataloged and coded using HHS Protect by one coder with one or more additional coders conducting quality assurance.
Data were collected to determine when certain groups were subject to vaccine mandates. Data can be used to determine the status of state-issued vaccine requirements for certain groups as of the date of last update. 
These data are derived from publicly available state and territorial laws and official policy documents found by CDC’s Mitigation Policy Analysis Unit, and CDC’s Center for State, Tribal, Local, and Territorial Support, Public Health Law Program from July 26, 2021 through _____. These data will be updated as new laws are collected. Any orders not available through publicly accessible websites are not included in this dataset. Recommendations not included in a law are not included in these data. Effective and expiration dates were coded using only the date provided in the law. These data do not necessarily represent the official position of the Centers for Disease Control and Prevention.",,"{'name': 'State-Level Vaccine Mandates - Currently in Effect', 'id': 'c8as-e7h6', 'description': 'This dataset contains state and territorial vaccine mandates currently in effect as of ____ that require the group listed to be fully vaccinated. State and territorial laws are collected from publicly available government websites and cataloged and coded using HHS Protect by one coder with one or more additional coders conducting quality assurance.\nData were collected to determine when certain groups were subject to vaccine mandates. Data can be used to determine the status of state-issued vaccine requirements for certain groups as of the date of last update. \nThese data are derived from publicly available state and territorial laws and official policy documents found by CDC’s Mitigation Policy Analysis Unit, and CDC’s Center for State, Tribal, Local, and Territorial Support, Public Health Law Program from July 26, 2021 through _____. These data will be updated as new laws are collected. Any orders not available through publicly accessible websites are not included in this dataset. Recommendations not included in a law are not included in these data. Effective and expiration dates were coded using only the date provided in the law. These data do not necessarily represent the official position of the Centers for Disease Control and Prevention.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Policy-Surveillance/State-Level-Vaccine-Mandates-Currently-in-Effect/c8as-e7h6'}"
Stroke Mortality Data Among US Adults (35+) by State/Territory and County,kgsi-35re,kgsi-35re_1736725084.740145_Stroke_Mortality_Data_Among_US_Adults__35___by_State_Territory_and_County_20250112.csv.gz,2025-01-12 23:38:04 UTC,https://data.cdc.gov/Heart-Disease-Stroke-Prevention/Stroke-Mortality-Data-Among-US-Adults-35-by-State-/kgsi-35re,"2014 to 2016, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html",,"{'name': 'Stroke Mortality Data Among US Adults (35+) by State/Territory and County', 'id': 'kgsi-35re', 'description': '2014 to 2016, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Heart-Disease-Stroke-Prevention/Stroke-Mortality-Data-Among-US-Adults-35-by-State-/kgsi-35re'}"
Stroke Mortality Data Among US Adults (35+) by State/Territory and County – 2015-2017,v246-z5tb,v246-z5tb_1736734136.436927_Stroke_Mortality_Data_Among_US_Adults__35___by_State_Territory_and_County___2015-2017_20250113.csv.gz,2025-01-13 02:08:56 UTC,https://data.cdc.gov/Heart-Disease-Stroke-Prevention/Stroke-Mortality-Data-Among-US-Adults-35-by-State-/v246-z5tb,"2015 to 2017, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke. 
http://www.cdc.gov/dhdsp/maps/atlas",,"{'name': 'Stroke Mortality Data Among US Adults (35+) by State/Territory and County – 2015-2017', 'id': 'v246-z5tb', 'description': '2015 to 2017, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke. \nhttp://www.cdc.gov/dhdsp/maps/atlas', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Heart-Disease-Stroke-Prevention/Stroke-Mortality-Data-Among-US-Adults-35-by-State-/v246-z5tb'}"
Stroke Mortality Data Among US Adults (35+) by State/Territory and County – 2016-2018,tqwu-4a7k,tqwu-4a7k_1736735095.192241_Stroke_Mortality_Data_Among_US_Adults__35___by_State_Territory_and_County___2016-2018_20250113.csv.gz,2025-01-13 02:24:55 UTC,https://data.cdc.gov/Heart-Disease-Stroke-Prevention/Stroke-Mortality-Data-Among-US-Adults-35-by-State-/tqwu-4a7k,"2016 to 2018, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html",,"{'name': 'Stroke Mortality Data Among US Adults (35+) by State/Territory and County – 2016-2018', 'id': 'tqwu-4a7k', 'description': '2016 to 2018, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Heart-Disease-Stroke-Prevention/Stroke-Mortality-Data-Among-US-Adults-35-by-State-/tqwu-4a7k'}"
Stroke Mortality Data Among US Adults (35+) by State/Territory and County – 2017-2019,ua33-yiiu,ua33-yiiu_1736738010.671955_Stroke_Mortality_Data_Among_US_Adults__35___by_State_Territory_and_County___2017-2019_20250113.csv.gz,2025-01-13 03:13:30 UTC,https://data.cdc.gov/Heart-Disease-Stroke-Prevention/Stroke-Mortality-Data-Among-US-Adults-35-by-State-/ua33-yiiu,"2017 to 2019, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html",,"{'name': 'Stroke Mortality Data Among US Adults (35+) by State/Territory and County – 2017-2019', 'id': 'ua33-yiiu', 'description': '2017 to 2019, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Heart-Disease-Stroke-Prevention/Stroke-Mortality-Data-Among-US-Adults-35-by-State-/ua33-yiiu'}"
Stroke Mortality Data Among US Adults (35+) by State/Territory and County – 2018-2020,g5fg-bgtw,g5fg-bgtw_1736737011.192570_Stroke_Mortality_Data_Among_US_Adults__35___by_State_Territory_and_County___2018-2020_20250113.csv.gz,2025-01-13 02:56:51 UTC,https://data.cdc.gov/Heart-Disease-Stroke-Prevention/Stroke-Mortality-Data-Among-US-Adults-35-by-State-/g5fg-bgtw,"2018 to 2020, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html",,"{'name': 'Stroke Mortality Data Among US Adults (35+) by State/Territory and County – 2018-2020', 'id': 'g5fg-bgtw', 'description': '2018 to 2020, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Heart-Disease-Stroke-Prevention/Stroke-Mortality-Data-Among-US-Adults-35-by-State-/g5fg-bgtw'}"
Stroke Mortality Data Among US Adults (35+) by State/Territory and County – 2019-2021,vutr-sfkh,vutr-sfkh_1736728096.618447_Stroke_Mortality_Data_Among_US_Adults__35___by_State_Territory_and_County___2019-2021_20250113.csv.gz,2025-01-13 00:28:16 UTC,https://data.cdc.gov/Heart-Disease-Stroke-Prevention/Stroke-Mortality-Data-Among-US-Adults-35-by-State-/vutr-sfkh,"2019 to 2021, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html",,"{'name': 'Stroke Mortality Data Among US Adults (35+) by State/Territory and County – 2019-2021', 'id': 'vutr-sfkh', 'description': '2019 to 2021, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Heart-Disease-Stroke-Prevention/Stroke-Mortality-Data-Among-US-Adults-35-by-State-/vutr-sfkh'}"
Survey Data - Restaurant Grading,6zuv-bn3z,6zuv-bn3z_1736731303.385995_Survey_Data_-_Restaurant_Grading_20250113.csv.gz,2025-01-13 01:21:43 UTC,https://data.cdc.gov/Environmental-Health-Toxicology/Survey-Data-Restaurant-Grading/6zuv-bn3z,,,"{'name': 'Survey Data - Restaurant Grading', 'id': '6zuv-bn3z', 'description': '', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Environmental-Health-Toxicology/Survey-Data-Restaurant-Grading/6zuv-bn3z'}"
TABLE III. Deaths in 122 U.S. cities,7esm-uptm,7esm-uptm_1736711704.337008_TABLE_III._Deaths_in_122_U.S._cities_20250112.csv.gz,2025-01-12 19:55:04 UTC,https://data.cdc.gov/dataset/TABLE-III-Deaths-in-122-U-S-cities/7esm-uptm,"TABLE III. Deaths in 122 U.S. cities - 2015122 Cities Mortality Reporting System ��� Each week, the vital statistics offices of 122 cities across the United States report the total number of death certificates processed and the number of those for which pneumonia or influenza was listed as the underlying or contributing cause of death by age group (Under 28 days, 28 days ���1 year, 1-14 years, 15-24 years, 25-44 years, 45-64 years, 65-74 years, 75-84 years, and ��� 85 years).FOOTNOTE:U: Unavailable      -: No reported cases * Mortality data in this table are voluntarily reported from 122 cities in the United States, most of which have populations of 100,000 or more. A death is reported by the place of its occurrence and by the week that the death certificate was filed. Fetal deaths are not included. ** Totals include unknown ages. *** Partial counts for this city.",,"{'name': 'TABLE III. Deaths in 122 U.S. cities', 'id': '7esm-uptm', 'description': 'TABLE III. Deaths in 122 U.S. cities - 2015122 Cities Mortality Reporting System ��� Each week, the vital statistics offices of 122 cities across the United States report the total number of death certificates processed and the number of those for which pneumonia or influenza was listed as the underlying or contributing cause of death by age group (Under 28 days, 28 days ���1 year, 1-14 years, 15-24 years, 25-44 years, 45-64 years, 65-74 years, 75-84 years, and ��� 85 years).FOOTNOTE:U: Unavailable      -: No reported cases * Mortality data in this table are voluntarily reported from 122 cities in the United States, most of which have populations of 100,000 or more. A death is reported by the place of its occurrence and by the week that the death certificate was filed. Fetal deaths are not included. ** Totals include unknown ages. *** Partial counts for this city.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/dataset/TABLE-III-Deaths-in-122-U-S-cities/7esm-uptm'}"
TABLE III. Deaths in 122 U.S. cities,rpjd-ejph,rpjd-ejph_1736710404.255772_TABLE_III._Deaths_in_122_U.S._cities_20250112.csv.gz,2025-01-12 19:33:24 UTC,https://data.cdc.gov/dataset/TABLE-III-Deaths-in-122-U-S-cities/rpjd-ejph,"TABLE III. Deaths in 122 U.S. cities – 2016.  122 Cities Mortality Reporting System — Each week, the vital statistics offices of 122 cities across the United States report the total number of death certificates processed and the number of those for which pneumonia or influenza was listed as the underlying or contributing cause of death by age group (Under 28 days, 28 days –1 year, 1-14 years, 15-24 years, 25-44 years, 45-64 years, 65-74 years, 75-84 years, and ≥ 85 years).

FOOTNOTE:
U: Unavailable. —: No reported cases.
* Mortality data in this table are voluntarily reported from 122 cities in the United States, most of which have populations of 100,000 or more. A death is reported by the place of its occurrence and by the week that the death certificate was filed. Fetal deaths are not included. 

† Pneumonia and influenza. 

§ Total includes unknown ages.",,"{'name': 'TABLE III. Deaths in 122 U.S. cities', 'id': 'rpjd-ejph', 'description': 'TABLE III. Deaths in 122 U.S. cities – 2016.  122 Cities Mortality Reporting System — Each week, the vital statistics offices of 122 cities across the United States report the total number of death certificates processed and the number of those for which pneumonia or influenza was listed as the underlying or contributing cause of death by age group (Under 28 days, 28 days –1 year, 1-14 years, 15-24 years, 25-44 years, 45-64 years, 65-74 years, 75-84 years, and ≥ 85 years).\r\n\r\nFOOTNOTE:\r\nU: Unavailable. —: No reported cases.\r\n* Mortality data in this table are voluntarily reported from 122 cities in the United States, most of which have populations of 100,000 or more. A death is reported by the place of its occurrence and by the week that the death certificate was filed. Fetal deaths are not included. \r\n\r\n† Pneumonia and influenza. \r\n\r\n§ Total includes unknown ages.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/dataset/TABLE-III-Deaths-in-122-U-S-cities/rpjd-ejph'}"
Table for STATE System Appropriations/Grants Total Per Capita (UIC) Interactive Map,d6kg-4sxv,d6kg-4sxv_1736732336.661764_Table_for_STATE_System_Appropriations_Grants_Total_Per_Capita__UIC__Interactive_Map_20250113.csv.gz,2025-01-13 01:38:56 UTC,https://data.cdc.gov/Funding/Table-for-STATE-System-Appropriations-Grants-Total/d6kg-4sxv,"1991-2016. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Funding Data, Appropriations (1991-2016) and Expenditures (2008-2016). Appropriations data show public funds allocated to/by a particular state for tobacco prevention and control. They are not necessarily expended. Appropriations are from four major funding sources, Federal, state, Robert Wood Johnson Foundation (RWJF), and the American Legacy Foundation (Legacy). Expenditures are amounts spent by state tobacco control programs on tobacco prevention and control. Expenditure data are available by CDC Best Practices Program Components (State and Community Interventions, Health Communication Interventions, Cessation Interventions, Surveillance and Evaluation, and Administration and Management). Expenditures from 2008 to 2014 are compared against 2007 CDC Best Practices Recommendations; expenditures from 2015 and forward are compared against 2014 CDC Best Practices Recommendations.",,"{'name': 'Table for STATE System Appropriations/Grants Total Per Capita (UIC) Interactive Map', 'id': 'd6kg-4sxv', 'description': '1991-2016. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Funding Data, Appropriations (1991-2016) and Expenditures (2008-2016). Appropriations data show public funds allocated to/by a particular state for tobacco prevention and control. They are not necessarily expended. Appropriations are from four major funding sources, Federal, state, Robert Wood Johnson Foundation (RWJF), and the American Legacy Foundation (Legacy). Expenditures are amounts spent by state tobacco control programs on tobacco prevention and control. Expenditure data are available by CDC Best Practices Program Components (State and Community Interventions, Health Communication Interventions, Cessation Interventions, Surveillance and Evaluation, and Administration and Management). Expenditures from 2008 to 2014 are compared against 2007 CDC Best Practices Recommendations; expenditures from 2015 and forward are compared against 2014 CDC Best Practices Recommendations.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Funding/Table-for-STATE-System-Appropriations-Grants-Total/d6kg-4sxv'}"
Table for STATE System Comprehensive Medicaid Coverage of Cessation Treatments  Interactive Map,9krc-38hs,9krc-38hs_1736727198.815624_Table_for_STATE_System_Comprehensive_Medicaid_Coverage_of_Cessation_Treatments__Interactive_Map_20250113.csv.gz,2025-01-13 00:13:18 UTC,https://data.cdc.gov/Cessation-Coverage-/Table-for-STATE-System-Comprehensive-Medicaid-Cove/9krc-38hs,"2008-2024. American Lung Association. Cessation Coverage.  Medicaid data compiled by the Centers for Disease Control and Prevention’s Office on Smoking and Health were obtained from the State Tobacco Cessation Coverage Database, developed and administered by the American Lung Association.  Data from 2008-2012 are reported on an annual basis; beginning in 2013 data are reported on a quarterly basis.  Data include state-level information on Medicaid coverage of approved medications by the Food and Drug Administration (FDA) for tobacco cessation treatment; types of counseling recommended by the Public Health Service (PHS) and barriers to accessing cessation treatment. Note: Section 2502 of the Patient Protection and Affordable Care Act requires all state Medicaid programs to cover all FDA-approved tobacco cessation medications as of January 1, 2014. However, states are currently in the process of modifying their coverage to come into compliance with this requirement. Data in the STATE System on Medicaid coverage of tobacco cessation medications reflect evidence of coverage that is found in documentable sources, and may not yet reflect medications covered under this requirement.",,"{'name': 'Table for STATE System Comprehensive Medicaid Coverage of Cessation Treatments  Interactive Map', 'id': '9krc-38hs', 'description': '2008-2024. American Lung Association. Cessation Coverage.  Medicaid data compiled by the Centers for Disease Control and Prevention’s Office on Smoking and Health were obtained from the State Tobacco Cessation Coverage Database, developed and administered by the American Lung Association.  Data from 2008-2012 are reported on an annual basis; beginning in 2013 data are reported on a quarterly basis.  Data include state-level information on Medicaid coverage of approved medications by the Food and Drug Administration (FDA) for tobacco cessation treatment; types of counseling recommended by the Public Health Service (PHS) and barriers to accessing cessation treatment. Note: Section 2502 of the Patient Protection and Affordable Care Act requires all state Medicaid programs to cover all FDA-approved tobacco cessation medications as of January 1, 2014. However, states are currently in the process of modifying their coverage to come into compliance with this requirement. Data in the STATE System on Medicaid coverage of tobacco cessation medications reflect evidence of coverage that is found in documentable sources, and may not yet reflect medications covered under this requirement.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Cessation-Coverage-/Table-for-STATE-System-Comprehensive-Medicaid-Cove/9krc-38hs'}"
Table for STATE System Excise Taxes on Cigarettes Interactive Map,g4va-qmeq,g4va-qmeq_1736728054.226497_Table_for_STATE_System_Excise_Taxes_on_Cigarettes_Interactive_Map_20250113.csv.gz,2025-01-13 00:27:34 UTC,https://data.cdc.gov/Legislation/Table-for-STATE-System-Excise-Taxes-on-Cigarettes-/g4va-qmeq,"1995-2024. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System.  Legislation-Tax. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include state taxes on combustible, non-combustible (smokeless) tobacco products, and tax stamps. Combustible tobacco products include cigarettes, cigars, little cigars, pipe tobacco, and roll-your-own tobacco. Non-combustible tobacco products include snus, moist snuff, dry snuff, chewing tobacco, and dissolvables. Tax stamps are on packs of cigarettes.",,"{'name': 'Table for STATE System Excise Taxes on Cigarettes Interactive Map', 'id': 'g4va-qmeq', 'description': '1995-2024. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System.  Legislation-Tax. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include state taxes on combustible, non-combustible (smokeless) tobacco products, and tax stamps. Combustible tobacco products include cigarettes, cigars, little cigars, pipe tobacco, and roll-your-own tobacco. Non-combustible tobacco products include snus, moist snuff, dry snuff, chewing tobacco, and dissolvables. Tax stamps are on packs of cigarettes.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Legislation/Table-for-STATE-System-Excise-Taxes-on-Cigarettes-/g4va-qmeq'}"
Table for STATE System Expenditures as a Percentage of CDC Recommended Level  (UIC) Interactive Map,2ipe-avu6,2ipe-avu6_1736731425.346059_Table_for_STATE_System_Expenditures_as_a_Percentage_of_CDC_Recommended_Level___UIC__Interactive_Map_20250113.csv.gz,2025-01-13 01:23:45 UTC,https://data.cdc.gov/Funding/Table-for-STATE-System-Expenditures-as-a-Percentag/2ipe-avu6,"1991-2016. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Funding Data, Appropriations (1991-2016) and Expenditures (2008-2016). Appropriations data show public funds allocated to/by a particular state for tobacco prevention and control. They are not necessarily expended. Appropriations are from four major funding sources, Federal, state, Robert Wood Johnson Foundation (RWJF), and the American Legacy Foundation (Legacy). Expenditures are amounts spent by state tobacco control programs on tobacco prevention and control. Expenditure data are available by CDC Best Practices Program Components (State and Community Interventions, Health Communication Interventions, Cessation Interventions, Surveillance and Evaluation, and Administration and Management). Expenditures from 2008 to 2014 are compared against 2007 CDC Best Practices Recommendations; expenditures from 2015 and forward are compared against 2014 CDC Best Practices Recommendations.",,"{'name': 'Table for STATE System Expenditures as a Percentage of CDC Recommended Level  (UIC) Interactive Map', 'id': '2ipe-avu6', 'description': '1991-2016. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Funding Data, Appropriations (1991-2016) and Expenditures (2008-2016). Appropriations data show public funds allocated to/by a particular state for tobacco prevention and control. They are not necessarily expended. Appropriations are from four major funding sources, Federal, state, Robert Wood Johnson Foundation (RWJF), and the American Legacy Foundation (Legacy). Expenditures are amounts spent by state tobacco control programs on tobacco prevention and control. Expenditure data are available by CDC Best Practices Program Components (State and Community Interventions, Health Communication Interventions, Cessation Interventions, Surveillance and Evaluation, and Administration and Management). Expenditures from 2008 to 2014 are compared against 2007 CDC Best Practices Recommendations; expenditures from 2015 and forward are compared against 2014 CDC Best Practices Recommendations.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Funding/Table-for-STATE-System-Expenditures-as-a-Percentag/2ipe-avu6'}"
"Table for STATE System Preemption on Licensure, Smokefree Indoor Air, and Youth Access Interactive Map",5gu7-u3bj,5gu7-u3bj_1736735654.668634_Table_for_STATE_System_Preemption_on_Licensure__Smokefree_Indoor_Air__and_Youth_Access_Interactive_Map_20250113.csv.gz,2025-01-13 02:34:14 UTC,https://data.cdc.gov/Legislation/Table-for-STATE-System-Preemption-on-Licensure-Smo/5gu7-u3bj,"1995-2024. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation - Preemption. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to summary state preemption of more stringent or differing local laws on smokefree indoor air, youth access and licensure.",,"{'name': 'Table for STATE System Preemption on Licensure, Smokefree Indoor Air, and Youth Access Interactive Map', 'id': '5gu7-u3bj', 'description': '1995-2024. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation - Preemption. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to summary state preemption of more stringent or differing local laws on smokefree indoor air, youth access and licensure.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Legislation/Table-for-STATE-System-Preemption-on-Licensure-Smo/5gu7-u3bj'}"
"Table for STATE System Quitline Service Utilization - Callers Who Received Counseling and/or Medications per 1,000 Callers (NQDW OSH) Interactive Map",nwi8-skjj,nwi8-skjj_1736728497.014264_Table_for_STATE_System_Quitline_Service_Utilization_-_Callers_Who_Received_Counseling_and_or_Medications_per_1_000_Callers__NQDW_OSH__Interactive_Map_20250113.csv.gz,2025-01-13 00:34:57 UTC,https://data.cdc.gov/Quitline/Table-for-STATE-System-Quitline-Service-Utilizatio/nwi8-skjj,"2020.  National Quitline Data Warehouse (NQDW). State Tobacco Activities Tracking and Evaluation (STATE) System.  NQDW Data.  National Quitline Data Warehouse (NQDW) assists in evaluating quitline activities and serves as a national resource for data on the use, success, and services of state quitlines.  States report data on quitline callers, quitting success, as well as the services provided by their quitlines. The NQDW consolidates this information for evaluating programs and improving quitline services.  The jurisdictions participating in this data collection effort include the 50 states, the District of Columbia, Guam and Puerto Rico.",,"{'name': 'Table for STATE System Quitline Service Utilization - Callers Who Received Counseling and/or Medications per 1,000 Callers (NQDW OSH) Interactive Map', 'id': 'nwi8-skjj', 'description': '2020.  National Quitline Data Warehouse (NQDW). State Tobacco Activities Tracking and Evaluation (STATE) System.  NQDW Data.  National Quitline Data Warehouse (NQDW) assists in evaluating quitline activities and serves as a national resource for data on the use, success, and services of state quitlines.  States report data on quitline callers, quitting success, as well as the services provided by their quitlines. The NQDW consolidates this information for evaluating programs and improving quitline services.  The jurisdictions participating in this data collection effort include the 50 states, the District of Columbia, Guam and Puerto Rico.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Quitline/Table-for-STATE-System-Quitline-Service-Utilizatio/nwi8-skjj'}"
"Table for STATE System Quitline Service Utilization - Incoming Calls per 10,000 State Population (NQDW OSH) Interactive Map",uyzz-86d8,uyzz-86d8_1736729547.480786_Table_for_STATE_System_Quitline_Service_Utilization_-_Incoming_Calls_per_10_000_State_Population__NQDW_OSH__Interactive_Map_20250113.csv.gz,2025-01-13 00:52:27 UTC,https://data.cdc.gov/Quitline/Table-for-STATE-System-Quitline-Service-Utilizatio/uyzz-86d8,"2020.  National Quitline Data Warehouse (NQDW). State Tobacco Activities Tracking and Evaluation (STATE) System.  NQDW Data.  National Quitline Data Warehouse (NQDW) assists in evaluating quitline activities and serves as a national resource for data on the use, success, and services of state quitlines.  States report data on quitline callers, quitting success, as well as the services provided by their quitlines. The NQDW consolidates this information for evaluating programs and improving quitline services.  The jurisdictions participating in this data collection effort include the 50 states, the District of Columbia, Guam and Puerto Rico.",,"{'name': 'Table for STATE System Quitline Service Utilization - Incoming Calls per 10,000 State Population (NQDW OSH) Interactive Map', 'id': 'uyzz-86d8', 'description': '2020.  National Quitline Data Warehouse (NQDW). State Tobacco Activities Tracking and Evaluation (STATE) System.  NQDW Data.  National Quitline Data Warehouse (NQDW) assists in evaluating quitline activities and serves as a national resource for data on the use, success, and services of state quitlines.  States report data on quitline callers, quitting success, as well as the services provided by their quitlines. The NQDW consolidates this information for evaluating programs and improving quitline services.  The jurisdictions participating in this data collection effort include the 50 states, the District of Columbia, Guam and Puerto Rico.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Quitline/Table-for-STATE-System-Quitline-Service-Utilizatio/uyzz-86d8'}"
"Table for STATE System Smokefree Indoor Air - Private Worksites, Restaurants, and Bars Interactive Map",3c7d-6fm8,3c7d-6fm8_1736728233.955532_Table_for_STATE_System_Smokefree_Indoor_Air_-_Private_Worksites__Restaurants__and_Bars_Interactive_Map_20250113.csv.gz,2025-01-13 00:30:33 UTC,https://data.cdc.gov/Legislation/Table-for-STATE-System-Smokefree-Indoor-Air-Privat/3c7d-6fm8,"1995-2024. Centers for Disease Control and Prevention (CDC).  State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation – Smokefree Indoor Air. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to state legislation on smokefree indoor air in areas such as: Bars, Commercial Day Care Centers, Government Multi-Unit Housing, Government Worksites, Home-Based Day Care Centers, Hotels and Motels, Personal Vehicles, Private Multi-Unit Housing, Private Worksites, Restaurants, Bingo Halls, Casinos, Enclosed Arenas, Grocery Stores, Hospitals, Hospital Campuses, Malls, Mental Health Outpatient and Residential Facilities, Prisons, Public Transportation, Racetrack Casinos, Substance Abuse Outpatient and Residential Facilities.","<https://data.cdc.gov/Legislation/Table-for-STATE-System-Smokefree-Indoor-Air-Privat/3c7d-6fm8>; rel=""original"",
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<http://web.archive.org/web/20241004042114/https://data.cdc.gov/Legislation/Table-for-STATE-System-Smokefree-Indoor-Air-Privat/3c7d-6fm8>; rel=""memento""; datetime=""Fri, 04 Oct 2024 04:21:14 GMT"",
<http://web.archive.org/web/20241128011854/https://data.cdc.gov/Legislation/Table-for-STATE-System-Smokefree-Indoor-Air-Privat/3c7d-6fm8>; rel=""memento""; datetime=""Thu, 28 Nov 2024 01:18:54 GMT"",
<http://web.archive.org/web/20250118003513/https://data.cdc.gov/Legislation/Table-for-STATE-System-Smokefree-Indoor-Air-Privat/3c7d-6fm8>; rel=""memento""; datetime=""Sat, 18 Jan 2025 00:35:13 GMT"",
<http://web.archive.org/web/20250201021734/https://data.cdc.gov/Legislation/Table-for-STATE-System-Smokefree-Indoor-Air-Privat/3c7d-6fm8>; rel=""memento""; datetime=""Sat, 01 Feb 2025 02:17:34 GMT"",
<http://web.archive.org/web/20250201211721/https://data.cdc.gov/Legislation/Table-for-STATE-System-Smokefree-Indoor-Air-Privat/3c7d-6fm8>; rel=""memento""; datetime=""Sat, 01 Feb 2025 21:17:21 GMT"",
<http://web.archive.org/web/20250202235542/https://data.cdc.gov/Legislation/Table-for-STATE-System-Smokefree-Indoor-Air-Privat/3c7d-6fm8>; rel=""memento""; datetime=""Sun, 02 Feb 2025 23:55:42 GMT"",
<http://web.archive.org/web/20250204113303/https://data.cdc.gov/Legislation/Table-for-STATE-System-Smokefree-Indoor-Air-Privat/3c7d-6fm8>; rel=""memento""; datetime=""Tue, 04 Feb 2025 11:33:03 GMT"",
<http://web.archive.org/web/20250206072201/https://data.cdc.gov/Legislation/Table-for-STATE-System-Smokefree-Indoor-Air-Privat/3c7d-6fm8>; rel=""memento""; datetime=""Thu, 06 Feb 2025 07:22:01 GMT"",
<http://web.archive.org/web/20250210121919/https://data.cdc.gov/Legislation/Table-for-STATE-System-Smokefree-Indoor-Air-Privat/3c7d-6fm8/>; rel=""memento""; datetime=""Mon, 10 Feb 2025 12:19:19 GMT"",
<http://web.archive.org/web/20250210121938/https://data.cdc.gov/Legislation/Table-for-STATE-System-Smokefree-Indoor-Air-Privat/3c7d-6fm8>; rel=""memento""; datetime=""Mon, 10 Feb 2025 12:19:38 GMT"",
<http://web.archive.org/web/20250210121945/https://data.cdc.gov/Legislation/Table-for-STATE-System-Smokefree-Indoor-Air-Privat/3c7d-6fm8>; rel=""memento""; datetime=""Mon, 10 Feb 2025 12:19:45 GMT""
","{'name': 'Table for STATE System Smokefree Indoor Air - Private Worksites, Restaurants, and Bars Interactive Map', 'id': '3c7d-6fm8', 'description': '1995-2024. Centers for Disease Control and Prevention (CDC).  State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation – Smokefree Indoor Air. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to state legislation on smokefree indoor air in areas such as: Bars, Commercial Day Care Centers, Government Multi-Unit Housing, Government Worksites, Home-Based Day Care Centers, Hotels and Motels, Personal Vehicles, Private Multi-Unit Housing, Private Worksites, Restaurants, Bingo Halls, Casinos, Enclosed Arenas, Grocery Stores, Hospitals, Hospital Campuses, Malls, Mental Health Outpatient and Residential Facilities, Prisons, Public Transportation, Racetrack Casinos, Substance Abuse Outpatient and Residential Facilities.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Legislation/Table-for-STATE-System-Smokefree-Indoor-Air-Privat/3c7d-6fm8'}"
Table of Comprehensive Medicaid Coverage of Treatments (Lung Association Cessation Coverage),pq9e-uf4u,pq9e-uf4u_1736723682.127394_Table_of_Comprehensive_Medicaid_Coverage_of_Treatments__Lung_Association_Cessation_Coverage__20250112.csv.gz,2025-01-12 23:14:42 UTC,https://data.cdc.gov/Cessation-Coverage-/Table-of-Comprehensive-Medicaid-Coverage-of-Treatm/pq9e-uf4u,"2008-2024. American Lung Association. Cessation Coverage – Medicaid Coverage of Cessation Treatments.  Medicaid data compiled by the Centers for Disease Control and Prevention’s Office on Smoking and Health were obtained from the State Tobacco Cessation Coverage Database, developed and administered by the American Lung Association.  Data from 2008-2012 are reported on an annual basis; beginning in 2013 data are reported on a quarterly basis.  Data include state-level information on Medicaid coverage of approved medications by the Food and Drug Administration (FDA) for tobacco cessation treatment and the types of counseling recommended by the Public Health Service (PHS). Approved medications by the FDA include: Nicotine patch, Nicotine gum, Nicotine lozenge, Nicotine nasal spray, Nicotine inhaler, Bupropion (Zyban) and Varenicline (Chantix). The types of counseling recommended by the PHS are: individual counseling, group counseling and phone counseling.  Data do not include phone counseling which is available in every state through quitlines.",,"{'name': 'Table of Comprehensive Medicaid Coverage of Treatments (Lung Association Cessation Coverage)', 'id': 'pq9e-uf4u', 'description': '2008-2024. American Lung Association. Cessation Coverage – Medicaid Coverage of Cessation Treatments.  Medicaid data compiled by the Centers for Disease Control and Prevention’s Office on Smoking and Health were obtained from the State Tobacco Cessation Coverage Database, developed and administered by the American Lung Association.  Data from 2008-2012 are reported on an annual basis; beginning in 2013 data are reported on a quarterly basis.  Data include state-level information on Medicaid coverage of approved medications by the Food and Drug Administration (FDA) for tobacco cessation treatment and the types of counseling recommended by the Public Health Service (PHS). Approved medications by the FDA include: Nicotine patch, Nicotine gum, Nicotine lozenge, Nicotine nasal spray, Nicotine inhaler, Bupropion (Zyban) and Varenicline (Chantix). The types of counseling recommended by the PHS are: individual counseling, group counseling and phone counseling.  Data do not include phone counseling which is available in every state through quitlines.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Cessation-Coverage-/Table-of-Comprehensive-Medicaid-Coverage-of-Treatm/pq9e-uf4u'}"
Table of Excise Taxes on Combustible Tobacco Products (CDC STATE System Tobacco Legislation - Tax),ebcc-3d5i,ebcc-3d5i_1736715931.078018_Table_of_Excise_Taxes_on_Combustible_Tobacco_Products__CDC_STATE_System_Tobacco_Legislation_-_Tax__20250112.csv.gz,2025-01-12 21:05:31 UTC,https://data.cdc.gov/Legislation/Table-of-Excise-Taxes-on-Combustible-Tobacco-Produ/ebcc-3d5i,"1995-2024. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation – Excise Taxes on Combustible Tobacco Products. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include state excise taxes on combustible tobacco products. Combustible tobacco products include cigarettes, cigars, little cigars, pipe tobacco, and roll-your-own tobacco.",,"{'name': 'Table of Excise Taxes on Combustible Tobacco Products (CDC STATE System Tobacco Legislation - Tax)', 'id': 'ebcc-3d5i', 'description': '1995-2024. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation – Excise Taxes on Combustible Tobacco Products. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include state excise taxes on combustible tobacco products. Combustible tobacco products include cigarettes, cigars, little cigars, pipe tobacco, and roll-your-own tobacco.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Legislation/Table-of-Excise-Taxes-on-Combustible-Tobacco-Produ/ebcc-3d5i'}"
Table of Excise Taxes on Non-Combustible Tobacco Products (CDC STATE System Tobacco Legislation - Tax),t3tz-gvpr,t3tz-gvpr_1736714868.106847_Table_of_Excise_Taxes_on_Non-Combustible_Tobacco_Products__CDC_STATE_System_Tobacco_Legislation_-_Tax__20250112.csv.gz,2025-01-12 20:47:48 UTC,https://data.cdc.gov/Legislation/Table-of-Excise-Taxes-on-Non-Combustible-Tobacco-P/t3tz-gvpr,"1995-2024. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System.  Legislation-Tax. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include state excise taxes on non-combustible (smokeless) tobacco products.  Non-combustible tobacco products include snus, moist snuff, dry snuff, chewing tobacco, and dissolvables.",,"{'name': 'Table of Excise Taxes on Non-Combustible Tobacco Products (CDC STATE System Tobacco Legislation - Tax)', 'id': 't3tz-gvpr', 'description': '1995-2024. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System.  Legislation-Tax. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include state excise taxes on non-combustible (smokeless) tobacco products.  Non-combustible tobacco products include snus, moist snuff, dry snuff, chewing tobacco, and dissolvables.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Legislation/Table-of-Excise-Taxes-on-Non-Combustible-Tobacco-P/t3tz-gvpr'}"
Table of Gross Cigarette Tax Revenue Per State (Orzechowski and Walker Tax Burden on Tobacco),rkpp-igza,rkpp-igza_1736708989.447150_Table_of_Gross_Cigarette_Tax_Revenue_Per_State__Orzechowski_and_Walker_Tax_Burden_on_Tobacco__20250112.csv.gz,2025-01-12 19:09:49 UTC,https://data.cdc.gov/Policy/Table-of-Gross-Cigarette-Tax-Revenue-Per-State-Orz/rkpp-igza,"1970-2019. Orzechowski and Walker. Tax Burden on Tobacco. Tax burden data was obtained from the annual compendium on tobacco revenue and industry statistics, The Tax Burden on Tobacco. Data are reported on an annual basis; Data include federal and state-level information regarding taxes applied to the price of a pack of cigarettes.","<https://data.cdc.gov/Policy/Table-of-Gross-Cigarette-Tax-Revenue-Per-State-Orz/rkpp-igza>; rel=""original"",
<http://web.archive.org/web/timemap/link/https://data.cdc.gov/Policy/Table-of-Gross-Cigarette-Tax-Revenue-Per-State-Orz/rkpp-igza>; rel=""self""; type=""application/link-format""; from=""Mon, 20 May 2024 22:03:04 GMT"",
<http://web.archive.org/web/https://data.cdc.gov/Policy/Table-of-Gross-Cigarette-Tax-Revenue-Per-State-Orz/rkpp-igza>; rel=""timegate"",
<http://web.archive.org/web/20240520220304/https://data.cdc.gov/Policy/Table-of-Gross-Cigarette-Tax-Revenue-Per-State-Orz/rkpp-igza>; rel=""first memento""; datetime=""Mon, 20 May 2024 22:03:04 GMT"",
<http://web.archive.org/web/20240520220311/https://data.cdc.gov/Policy/Table-of-Gross-Cigarette-Tax-Revenue-Per-State-Orz/rkpp-igza>; rel=""memento""; datetime=""Mon, 20 May 2024 22:03:11 GMT"",
<http://web.archive.org/web/20240713142141/https://data.cdc.gov/Policy/Table-of-Gross-Cigarette-Tax-Revenue-Per-State-Orz/rkpp-igza>; rel=""memento""; datetime=""Sat, 13 Jul 2024 14:21:41 GMT"",
<http://web.archive.org/web/20240927212342/https://data.cdc.gov/Policy/Table-of-Gross-Cigarette-Tax-Revenue-Per-State-Orz/rkpp-igza>; rel=""memento""; datetime=""Fri, 27 Sep 2024 21:23:42 GMT"",
<http://web.archive.org/web/20241125052705/https://data.cdc.gov/Policy/Table-of-Gross-Cigarette-Tax-Revenue-Per-State-Orz/rkpp-igza>; rel=""memento""; datetime=""Mon, 25 Nov 2024 05:27:05 GMT"",
<http://web.archive.org/web/20241125220631/https://data.cdc.gov/Policy/Table-of-Gross-Cigarette-Tax-Revenue-Per-State-Orz/rkpp-igza>; rel=""memento""; datetime=""Mon, 25 Nov 2024 22:06:31 GMT"",
<http://web.archive.org/web/20250201005126/https://data.cdc.gov/Policy/Table-of-Gross-Cigarette-Tax-Revenue-Per-State-Orz/rkpp-igza>; rel=""memento""; datetime=""Sat, 01 Feb 2025 00:51:26 GMT"",
<http://web.archive.org/web/20250201204855/https://data.cdc.gov/Policy/Table-of-Gross-Cigarette-Tax-Revenue-Per-State-Orz/rkpp-igza>; rel=""memento""; datetime=""Sat, 01 Feb 2025 20:48:55 GMT"",
<http://web.archive.org/web/20250201220450/https://data.cdc.gov/Policy/Table-of-Gross-Cigarette-Tax-Revenue-Per-State-Orz/rkpp-igza>; rel=""memento""; datetime=""Sat, 01 Feb 2025 22:04:50 GMT"",
<http://web.archive.org/web/20250202075343/https://data.cdc.gov/Policy/Table-of-Gross-Cigarette-Tax-Revenue-Per-State-Orz/rkpp-igza>; rel=""memento""; datetime=""Sun, 02 Feb 2025 07:53:43 GMT"",
<http://web.archive.org/web/20250202082741/https://data.cdc.gov/Policy/Table-of-Gross-Cigarette-Tax-Revenue-Per-State-Orz/rkpp-igza>; rel=""memento""; datetime=""Sun, 02 Feb 2025 08:27:41 GMT"",
<http://web.archive.org/web/20250206093831/https://data.cdc.gov/Policy/Table-of-Gross-Cigarette-Tax-Revenue-Per-State-Orz/rkpp-igza/>; rel=""memento""; datetime=""Thu, 06 Feb 2025 09:38:31 GMT"",
<http://web.archive.org/web/20250206093848/https://data.cdc.gov/Policy/Table-of-Gross-Cigarette-Tax-Revenue-Per-State-Orz/rkpp-igza>; rel=""memento""; datetime=""Thu, 06 Feb 2025 09:38:48 GMT"",
<http://web.archive.org/web/20250206093850/https://data.cdc.gov/Policy/Table-of-Gross-Cigarette-Tax-Revenue-Per-State-Orz/rkpp-igza>; rel=""memento""; datetime=""Thu, 06 Feb 2025 09:38:50 GMT""
","{'name': 'Table of Gross Cigarette Tax Revenue Per State (Orzechowski and Walker Tax Burden on Tobacco)', 'id': 'rkpp-igza', 'description': '1970-2019. Orzechowski and Walker. Tax Burden on Tobacco. Tax burden data was obtained from the annual compendium on tobacco revenue and industry statistics, The Tax Burden on Tobacco. Data are reported on an annual basis; Data include federal and state-level information regarding taxes applied to the price of a pack of cigarettes.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Policy/Table-of-Gross-Cigarette-Tax-Revenue-Per-State-Orz/rkpp-igza'}"
Table of Licensure for Vending Machines (CDC STATE System Tobacco Legislation),ubjb-j2zi,ubjb-j2zi_1736719641.483056_Table_of_Licensure_for_Vending_Machines__CDC_STATE_System_Tobacco_Legislation__20250112.csv.gz,2025-01-12 22:07:21 UTC,https://data.cdc.gov/Legislation/Table-of-Licensure-for-Vending-Machines-CDC-STATE-/ubjb-j2zi,"1995-2024. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation—Licensure. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies.  Data are reported on a quarterly basis. Data include information related to requirements, restrictions and penalties associated with holding a retail license to sell tobacco products over-the-counter and through vending machines.","<https://data.cdc.gov/Legislation/Table-of-Licensure-for-Vending-Machines-CDC-STATE-/ubjb-j2zi>; rel=""original"",
<http://web.archive.org/web/timemap/link/https://data.cdc.gov/Legislation/Table-of-Licensure-for-Vending-Machines-CDC-STATE-/ubjb-j2zi>; rel=""self""; type=""application/link-format""; from=""Thu, 10 Aug 2023 10:02:38 GMT"",
<http://web.archive.org/web/https://data.cdc.gov/Legislation/Table-of-Licensure-for-Vending-Machines-CDC-STATE-/ubjb-j2zi>; rel=""timegate"",
<http://web.archive.org/web/20230810100238/https://data.cdc.gov/Legislation/Table-of-Licensure-for-Vending-Machines-CDC-STATE-/ubjb-j2zi>; rel=""first memento""; datetime=""Thu, 10 Aug 2023 10:02:38 GMT"",
<http://web.archive.org/web/20240713132814/https://data.cdc.gov/Legislation/Table-of-Licensure-for-Vending-Machines-CDC-STATE-/ubjb-j2zi>; rel=""memento""; datetime=""Sat, 13 Jul 2024 13:28:14 GMT"",
<http://web.archive.org/web/20240927002105/https://data.cdc.gov/Legislation/Table-of-Licensure-for-Vending-Machines-CDC-STATE-/ubjb-j2zi>; rel=""memento""; datetime=""Fri, 27 Sep 2024 00:21:05 GMT"",
<http://web.archive.org/web/20241128045103/https://data.cdc.gov/Legislation/Table-of-Licensure-for-Vending-Machines-CDC-STATE-/ubjb-j2zi>; rel=""memento""; datetime=""Thu, 28 Nov 2024 04:51:03 GMT"",
<http://web.archive.org/web/20250118074144/https://data.cdc.gov/Legislation/Table-of-Licensure-for-Vending-Machines-CDC-STATE-/ubjb-j2zi>; rel=""memento""; datetime=""Sat, 18 Jan 2025 07:41:44 GMT"",
<http://web.archive.org/web/20250201021717/https://data.cdc.gov/Legislation/Table-of-Licensure-for-Vending-Machines-CDC-STATE-/ubjb-j2zi>; rel=""memento""; datetime=""Sat, 01 Feb 2025 02:17:17 GMT"",
<http://web.archive.org/web/20250201205145/https://data.cdc.gov/Legislation/Table-of-Licensure-for-Vending-Machines-CDC-STATE-/ubjb-j2zi>; rel=""memento""; datetime=""Sat, 01 Feb 2025 20:51:45 GMT"",
<http://web.archive.org/web/20250202215218/https://data.cdc.gov/Legislation/Table-of-Licensure-for-Vending-Machines-CDC-STATE-/ubjb-j2zi>; rel=""memento""; datetime=""Sun, 02 Feb 2025 21:52:18 GMT"",
<http://web.archive.org/web/20250203045609/https://data.cdc.gov/Legislation/Table-of-Licensure-for-Vending-Machines-CDC-STATE-/ubjb-j2zi>; rel=""memento""; datetime=""Mon, 03 Feb 2025 04:56:09 GMT"",
<http://web.archive.org/web/20250209015255/https://data.cdc.gov/Legislation/Table-of-Licensure-for-Vending-Machines-CDC-STATE-/ubjb-j2zi/>; rel=""memento""; datetime=""Sun, 09 Feb 2025 01:52:55 GMT"",
<http://web.archive.org/web/20250209015314/https://data.cdc.gov/Legislation/Table-of-Licensure-for-Vending-Machines-CDC-STATE-/ubjb-j2zi>; rel=""memento""; datetime=""Sun, 09 Feb 2025 01:53:14 GMT"",
<http://web.archive.org/web/20250209015316/https://data.cdc.gov/Legislation/Table-of-Licensure-for-Vending-Machines-CDC-STATE-/ubjb-j2zi>; rel=""memento""; datetime=""Sun, 09 Feb 2025 01:53:16 GMT""
","{'name': 'Table of Licensure for Vending Machines (CDC STATE System Tobacco Legislation)', 'id': 'ubjb-j2zi', 'description': '1995-2024. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation—Licensure. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies.  Data are reported on a quarterly basis. Data include information related to requirements, restrictions and penalties associated with holding a retail license to sell tobacco products over-the-counter and through vending machines.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Legislation/Table-of-Licensure-for-Vending-Machines-CDC-STATE-/ubjb-j2zi'}"
Table of Medicaid Barriers to Treatments (Lung Association Cessation Coverage),wcfv-gpn6,wcfv-gpn6_1736709875.149027_Table_of_Medicaid_Barriers_to_Treatments__Lung_Association_Cessation_Coverage__20250112.csv.gz,2025-01-12 19:24:35 UTC,https://data.cdc.gov/Cessation-Coverage-/Table-of-Medicaid-Barriers-to-Treatments-Lung-Asso/wcfv-gpn6,"2008-2024. American Lung Association. Cessation Coverage – Medicaid Barriers to Treatments.  Medicaid data compiled by the Centers for Disease Control and Prevention’s Office on Smoking and Health were obtained from the State Tobacco Cessation Coverage Database, developed and administered by the American Lung Association.  Data from 2008-2012 are reported on an annual basis; beginning in 2013 data are reported on a quarterly basis.  Data include state-level information on Medicaid policies that make it hard for tobacco users to access cessation treatment and discourage them from quitting.  Medicaid barriers include: co-payments, prior authorization, counseling required for medications, stepped care therapy, limits on duration, annual limits, lifetime limits and other barriers such as dollar limits, limits on the number of monthly prescriptions, no provision for refills or limits on which type of provider can perform treatment.",,"{'name': 'Table of Medicaid Barriers to Treatments (Lung Association Cessation Coverage)', 'id': 'wcfv-gpn6', 'description': '2008-2024. American Lung Association. Cessation Coverage – Medicaid Barriers to Treatments.  Medicaid data compiled by the Centers for Disease Control and Prevention’s Office on Smoking and Health were obtained from the State Tobacco Cessation Coverage Database, developed and administered by the American Lung Association.  Data from 2008-2012 are reported on an annual basis; beginning in 2013 data are reported on a quarterly basis.  Data include state-level information on Medicaid policies that make it hard for tobacco users to access cessation treatment and discourage them from quitting.  Medicaid barriers include: co-payments, prior authorization, counseling required for medications, stepped care therapy, limits on duration, annual limits, lifetime limits and other barriers such as dollar limits, limits on the number of monthly prescriptions, no provision for refills or limits on which type of provider can perform treatment.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Cessation-Coverage-/Table-of-Medicaid-Barriers-to-Treatments-Lung-Asso/wcfv-gpn6'}"
Table of Medicaid Coverage of Treatments (Lung Association Cessation Coverage),83hz-w2t5,83hz-w2t5_1736721225.003598_Table_of_Medicaid_Coverage_of_Treatments__Lung_Association_Cessation_Coverage__20250112.csv.gz,2025-01-12 22:33:45 UTC,https://data.cdc.gov/Cessation-Coverage-/Table-of-Medicaid-Coverage-of-Treatments-Lung-Asso/83hz-w2t5,"2008-2024. American Lung Association. Cessation Coverage – Medicaid Coverage of Cessation Treatments.  Medicaid data compiled by the Centers for Disease Control and Prevention’s Office on Smoking and Health were obtained from the State Tobacco Cessation Coverage Database, developed and administered by the American Lung Association.  Data from 2008-2012 are reported on an annual basis; beginning in 2013 data are reported on a quarterly basis.  Data include state-level information on Medicaid coverage of approved medications by the Food and Drug Administration (FDA) for tobacco cessation treatment and the types of counseling recommended by the Public Health Service (PHS). Approved medications by the FDA include: Nicotine patch, Nicotine gum, Nicotine lozenge, Nicotine nasal spray, Nicotine inhaler, Bupropion (Zyban) and Varenicline (Chantix). The types of counseling recommended by the PHS are: individual counseling, group counseling and phone counseling.  Data do not include phone counseling which is available in every state through quitlines.",,"{'name': 'Table of Medicaid Coverage of Treatments (Lung Association Cessation Coverage)', 'id': '83hz-w2t5', 'description': '2008-2024. American Lung Association. Cessation Coverage – Medicaid Coverage of Cessation Treatments.  Medicaid data compiled by the Centers for Disease Control and Prevention’s Office on Smoking and Health were obtained from the State Tobacco Cessation Coverage Database, developed and administered by the American Lung Association.  Data from 2008-2012 are reported on an annual basis; beginning in 2013 data are reported on a quarterly basis.  Data include state-level information on Medicaid coverage of approved medications by the Food and Drug Administration (FDA) for tobacco cessation treatment and the types of counseling recommended by the Public Health Service (PHS). Approved medications by the FDA include: Nicotine patch, Nicotine gum, Nicotine lozenge, Nicotine nasal spray, Nicotine inhaler, Bupropion (Zyban) and Varenicline (Chantix). The types of counseling recommended by the PHS are: individual counseling, group counseling and phone counseling.  Data do not include phone counseling which is available in every state through quitlines.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Cessation-Coverage-/Table-of-Medicaid-Coverage-of-Treatments-Lung-Asso/83hz-w2t5'}"
Table of Medicaid Coverage of Treatments – Counseling (Lung Association Cessation Coverage),2nim-maxh,2nim-maxh_1736722774.652809_Table_of_Medicaid_Coverage_of_Treatments___Counseling__Lung_Association_Cessation_Coverage__20250112.csv.gz,2025-01-12 22:59:34 UTC,https://data.cdc.gov/Cessation-Coverage-/Table-of-Medicaid-Coverage-of-Treatments-Counselin/2nim-maxh,"2008-2024. American Lung Association. Cessation Coverage – Medicaid Coverage of Treatments – Counseling.  Medicaid data compiled by the Centers for Disease Control and Prevention’s Office on Smoking and Health were obtained from the State Tobacco Cessation Coverage Database, developed and administered by the American Lung Association.  Data from 2008-2012 are reported on an annual basis; beginning in 2013 data are reported on a quarterly basis.  Data include state-level information on types of counseling recommended by the Public Health Service (PHS).  The types of counseling recommended by the PHS are: individual counseling, group counseling and phone counseling.  Data do not include phone counseling which is available in every state through quitlines.",,"{'name': 'Table of Medicaid Coverage of Treatments – Counseling (Lung Association Cessation Coverage)', 'id': '2nim-maxh', 'description': '2008-2024. American Lung Association. Cessation Coverage – Medicaid Coverage of Treatments – Counseling.  Medicaid data compiled by the Centers for Disease Control and Prevention’s Office on Smoking and Health were obtained from the State Tobacco Cessation Coverage Database, developed and administered by the American Lung Association.  Data from 2008-2012 are reported on an annual basis; beginning in 2013 data are reported on a quarterly basis.  Data include state-level information on types of counseling recommended by the Public Health Service (PHS).  The types of counseling recommended by the PHS are: individual counseling, group counseling and phone counseling.  Data do not include phone counseling which is available in every state through quitlines.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Cessation-Coverage-/Table-of-Medicaid-Coverage-of-Treatments-Counselin/2nim-maxh'}"
Table of Medicaid Coverage of Treatments – Medications (Lung Association Cessation Coverage),pib3-gftc,pib3-gftc_1736721746.560622_Table_of_Medicaid_Coverage_of_Treatments___Medications__Lung_Association_Cessation_Coverage__20250112.csv.gz,2025-01-12 22:42:26 UTC,https://data.cdc.gov/Cessation-Coverage-/Table-of-Medicaid-Coverage-of-Treatments-Medicatio/pib3-gftc,"2008-2024. American Lung Association. Cessation Coverage – Medicaid Coverage of Treatments – Medications.  Medicaid data compiled by the Centers for Disease Control and Prevention’s Office on Smoking and Health were obtained from the State Tobacco Cessation Coverage Database, developed and administered by the American Lung Association.  Data from 2008-2012 are reported on an annual basis; beginning in 2013 data are reported on a quarterly basis.  Data include state-level information on Medicaid coverage of approved medications by the Food and Drug Administration (FDA) for tobacco cessation treatment. Approved medications by the FDA include: Nicotine patch, Nicotine gum, Nicotine lozenge, Nicotine nasal spray, Nicotine inhaler, Bupropion (Zyban) and Varenicline (Chantix).",,"{'name': 'Table of Medicaid Coverage of Treatments – Medications (Lung Association Cessation Coverage)', 'id': 'pib3-gftc', 'description': '2008-2024. American Lung Association. Cessation Coverage – Medicaid Coverage of Treatments – Medications.  Medicaid data compiled by the Centers for Disease Control and Prevention’s Office on Smoking and Health were obtained from the State Tobacco Cessation Coverage Database, developed and administered by the American Lung Association.  Data from 2008-2012 are reported on an annual basis; beginning in 2013 data are reported on a quarterly basis.  Data include state-level information on Medicaid coverage of approved medications by the Food and Drug Administration (FDA) for tobacco cessation treatment. Approved medications by the FDA include: Nicotine patch, Nicotine gum, Nicotine lozenge, Nicotine nasal spray, Nicotine inhaler, Bupropion (Zyban) and Varenicline (Chantix).', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Cessation-Coverage-/Table-of-Medicaid-Coverage-of-Treatments-Medicatio/pib3-gftc'}"
Table of Preemption on Licensure (CDC STATE System Tobacco Legislation - Preemption),a5h2-p2dw,a5h2-p2dw_1736718611.319463_Table_of_Preemption_on_Licensure__CDC_STATE_System_Tobacco_Legislation_-_Preemption__20250112.csv.gz,2025-01-12 21:50:11 UTC,https://data.cdc.gov/Legislation/Table-of-Preemption-on-Licensure-CDC-STATE-System-/a5h2-p2dw,"1995-2024. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation—Preemption. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies.  Data are reported on a quarterly basis. Data include information related to statutory state preemption of more stringent local laws on advertising, smokefree indoor air, youth access and licensure.","<https://data.cdc.gov/Legislation/Table-of-Preemption-on-Licensure-CDC-STATE-System-/a5h2-p2dw>; rel=""original"",
<http://web.archive.org/web/timemap/link/https://data.cdc.gov/Legislation/Table-of-Preemption-on-Licensure-CDC-STATE-System-/a5h2-p2dw>; rel=""self""; type=""application/link-format""; from=""Fri, 01 May 2020 07:23:10 GMT"",
<http://web.archive.org/web/https://data.cdc.gov/Legislation/Table-of-Preemption-on-Licensure-CDC-STATE-System-/a5h2-p2dw>; rel=""timegate"",
<http://web.archive.org/web/20200501072310/https://data.cdc.gov/Legislation/Table-of-Preemption-on-Licensure-CDC-STATE-System-/a5h2-p2dw>; rel=""first memento""; datetime=""Fri, 01 May 2020 07:23:10 GMT"",
<http://web.archive.org/web/20200501175704/https://data.cdc.gov/Legislation/Table-of-Preemption-on-Licensure-CDC-STATE-System-/a5h2-p2dw>; rel=""memento""; datetime=""Fri, 01 May 2020 17:57:04 GMT"",
<http://web.archive.org/web/20200501194941/https://data.cdc.gov/Legislation/Table-of-Preemption-on-Licensure-CDC-STATE-System-/a5h2-p2dw>; rel=""memento""; datetime=""Fri, 01 May 2020 19:49:41 GMT"",
<http://web.archive.org/web/20230810100229/https://data.cdc.gov/Legislation/Table-of-Preemption-on-Licensure-CDC-STATE-System-/a5h2-p2dw>; rel=""memento""; datetime=""Thu, 10 Aug 2023 10:02:29 GMT"",
<http://web.archive.org/web/20240927032321/https://data.cdc.gov/Legislation/Table-of-Preemption-on-Licensure-CDC-STATE-System-/a5h2-p2dw>; rel=""memento""; datetime=""Fri, 27 Sep 2024 03:23:21 GMT"",
<http://web.archive.org/web/20241128020021/https://data.cdc.gov/Legislation/Table-of-Preemption-on-Licensure-CDC-STATE-System-/a5h2-p2dw>; rel=""memento""; datetime=""Thu, 28 Nov 2024 02:00:21 GMT"",
<http://web.archive.org/web/20250118144353/https://data.cdc.gov/Legislation/Table-of-Preemption-on-Licensure-CDC-STATE-System-/a5h2-p2dw>; rel=""memento""; datetime=""Sat, 18 Jan 2025 14:43:53 GMT"",
<http://web.archive.org/web/20250201002528/https://data.cdc.gov/Legislation/Table-of-Preemption-on-Licensure-CDC-STATE-System-/a5h2-p2dw>; rel=""memento""; datetime=""Sat, 01 Feb 2025 00:25:28 GMT"",
<http://web.archive.org/web/20250201220023/https://data.cdc.gov/Legislation/Table-of-Preemption-on-Licensure-CDC-STATE-System-/a5h2-p2dw>; rel=""memento""; datetime=""Sat, 01 Feb 2025 22:00:23 GMT"",
<http://web.archive.org/web/20250205170323/https://data.cdc.gov/Legislation/Table-of-Preemption-on-Licensure-CDC-STATE-System-/a5h2-p2dw>; rel=""memento""; datetime=""Wed, 05 Feb 2025 17:03:23 GMT"",
<http://web.archive.org/web/20250207070144/https://data.cdc.gov/Legislation/Table-of-Preemption-on-Licensure-CDC-STATE-System-/a5h2-p2dw>; rel=""memento""; datetime=""Fri, 07 Feb 2025 07:01:44 GMT"",
<http://web.archive.org/web/20250212082704/https://data.cdc.gov/Legislation/Table-of-Preemption-on-Licensure-CDC-STATE-System-/a5h2-p2dw>; rel=""memento""; datetime=""Wed, 12 Feb 2025 08:27:04 GMT"",
<http://web.archive.org/web/20250212082707/https://data.cdc.gov/Legislation/Table-of-Preemption-on-Licensure-CDC-STATE-System-/a5h2-p2dw>; rel=""memento""; datetime=""Wed, 12 Feb 2025 08:27:07 GMT"",
<http://web.archive.org/web/20250212082708/https://data.cdc.gov/Legislation/Table-of-Preemption-on-Licensure-CDC-STATE-System-/a5h2-p2dw/>; rel=""memento""; datetime=""Wed, 12 Feb 2025 08:27:08 GMT""
","{'name': 'Table of Preemption on Licensure (CDC STATE System Tobacco Legislation - Preemption)', 'id': 'a5h2-p2dw', 'description': '1995-2024. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation—Preemption. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies.  Data are reported on a quarterly basis. Data include information related to statutory state preemption of more stringent local laws on advertising, smokefree indoor air, youth access and licensure.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Legislation/Table-of-Preemption-on-Licensure-CDC-STATE-System-/a5h2-p2dw'}"
Table of Preemption on Smokefree Indoor Air (CDC STATE System Tobacco Legislation - Preemption),8s4r-kzwb,8s4r-kzwb_1736720997.707548_Table_of_Preemption_on_Smokefree_Indoor_Air__CDC_STATE_System_Tobacco_Legislation_-_Preemption__20250112.csv.gz,2025-01-12 22:29:57 UTC,https://data.cdc.gov/Legislation/Table-of-Preemption-on-Smokefree-Indoor-Air-CDC-ST/8s4r-kzwb,"1995-2024. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation—Preemption. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies.  Data are reported on a quarterly basis. Data include information related to statutory state preemption of more stringent local laws on advertising, smokefree indoor air, youth access and licensure.",,"{'name': 'Table of Preemption on Smokefree Indoor Air (CDC STATE System Tobacco Legislation - Preemption)', 'id': '8s4r-kzwb', 'description': '1995-2024. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation—Preemption. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies.  Data are reported on a quarterly basis. Data include information related to statutory state preemption of more stringent local laws on advertising, smokefree indoor air, youth access and licensure.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Legislation/Table-of-Preemption-on-Smokefree-Indoor-Air-CDC-ST/8s4r-kzwb'}"
Table of Preemption on Youth Access (CDC STATE System Tobacco Legislation - Preemption),f2gw-2eas,f2gw-2eas_1736719052.445483_Table_of_Preemption_on_Youth_Access__CDC_STATE_System_Tobacco_Legislation_-_Preemption__20250112.csv.gz,2025-01-12 21:57:32 UTC,https://data.cdc.gov/Legislation/Table-of-Preemption-on-Youth-Access-CDC-STATE-Syst/f2gw-2eas,"1995-2024. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation—Preemption. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies.  Data are reported on a quarterly basis. Data include information related to statutory state preemption of more stringent local laws on advertising, smokefree indoor air, youth access and licensure.",,"{'name': 'Table of Preemption on Youth Access (CDC STATE System Tobacco Legislation - Preemption)', 'id': 'f2gw-2eas', 'description': '1995-2024. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation—Preemption. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies.  Data are reported on a quarterly basis. Data include information related to statutory state preemption of more stringent local laws on advertising, smokefree indoor air, youth access and licensure.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Legislation/Table-of-Preemption-on-Youth-Access-CDC-STATE-Syst/f2gw-2eas'}"
Table of Recommended Funding Levels by Program Components (CDC Best Practices for Comprehensive Tobacco Control Programs 2014),m26b-i3pr,m26b-i3pr_1736722692.931462_Table_of_Recommended_Funding_Levels_by_Program_Components__CDC_Best_Practices_for_Comprehensive_Tobacco_Control_Programs_2014__20250112.csv.gz,2025-01-12 22:58:12 UTC,https://data.cdc.gov/Funding/Table-of-Recommended-Funding-Levels-by-Program-Com/m26b-i3pr,"2014. Centers for Disease Control and Prevention (CDC). Best Practices for Comprehensive Tobacco Control Programs. Funding. CDC's Best Practices for Comprehensive Tobacco Control Programs is an evidence-based guide to help states plan and establish effective tobacco control programs to prevent and reduce tobacco use.  These data update Best Practices for Comprehensive Tobacco Control Programs—2007.  Data are reported at total and per capita funding levels. Data include recommended and minimum total funding levels for state programs, in addition to funding breakdowns by intervention areas such as: State and Community Interventions, Mass-Reach Health Communication Interventions, Cessation Interventions, Surveillance and Evaluation, and Infrastructure, Administration, and Management.",,"{'name': 'Table of Recommended Funding Levels by Program Components (CDC Best Practices for Comprehensive Tobacco Control Programs 2014)', 'id': 'm26b-i3pr', 'description': ""2014. Centers for Disease Control and Prevention (CDC). Best Practices for Comprehensive Tobacco Control Programs. Funding. CDC's Best Practices for Comprehensive Tobacco Control Programs is an evidence-based guide to help states plan and establish effective tobacco control programs to prevent and reduce tobacco use.  These data update Best Practices for Comprehensive Tobacco Control Programs—2007.  Data are reported at total and per capita funding levels. Data include recommended and minimum total funding levels for state programs, in addition to funding breakdowns by intervention areas such as: State and Community Interventions, Mass-Reach Health Communication Interventions, Cessation Interventions, Surveillance and Evaluation, and Infrastructure, Administration, and Management."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Funding/Table-of-Recommended-Funding-Levels-by-Program-Com/m26b-i3pr'}"
Table of Recommended Per-Capita Funding Levels for State Programs (CDC Best Practices for Comprehensive Tobacco Control Programs 2014),wpkd-y6hn,wpkd-y6hn_1736721157.472333_Table_of_Recommended_Per-Capita_Funding_Levels_for_State_Programs__CDC_Best_Practices_for_Comprehensive_Tobacco_Control_Programs_2014__20250112.csv.gz,2025-01-12 22:32:37 UTC,https://data.cdc.gov/Funding/Table-of-Recommended-Per-Capita-Funding-Levels-for/wpkd-y6hn,"2014. Centers for Disease Control and Prevention (CDC). Best Practices for Comprehensive Tobacco Control Programs. Funding. CDC's Best Practices for Comprehensive Tobacco Control Programs is an evidence-based guide to help states plan and establish effective tobacco control programs to prevent and reduce tobacco use.  These data update Best Practices for Comprehensive Tobacco Control Programs—2007.  Data are reported at total and per capita funding levels. Data include recommended and minimum total funding levels for state programs, in addition to funding breakdowns by intervention areas such as: State and Community Interventions, Mass-Reach Health Communication Interventions, Cessation Interventions, Surveillance and Evaluation, and Infrastructure, Administration, and Management.",,"{'name': 'Table of Recommended Per-Capita Funding Levels for State Programs (CDC Best Practices for Comprehensive Tobacco Control Programs 2014)', 'id': 'wpkd-y6hn', 'description': ""2014. Centers for Disease Control and Prevention (CDC). Best Practices for Comprehensive Tobacco Control Programs. Funding. CDC's Best Practices for Comprehensive Tobacco Control Programs is an evidence-based guide to help states plan and establish effective tobacco control programs to prevent and reduce tobacco use.  These data update Best Practices for Comprehensive Tobacco Control Programs—2007.  Data are reported at total and per capita funding levels. Data include recommended and minimum total funding levels for state programs, in addition to funding breakdowns by intervention areas such as: State and Community Interventions, Mass-Reach Health Communication Interventions, Cessation Interventions, Surveillance and Evaluation, and Infrastructure, Administration, and Management."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Funding/Table-of-Recommended-Per-Capita-Funding-Levels-for/wpkd-y6hn'}"
Table of Recommended Total Funding Levels for State Programs (CDC Best Practices for Comprehensive Tobacco Control Programs 2014),8qgt-54j8,8qgt-54j8_1736731177.456769_Table_of_Recommended_Total_Funding_Levels_for_State_Programs__CDC_Best_Practices_for_Comprehensive_Tobacco_Control_Programs_2014__20250113.csv.gz,2025-01-13 01:19:37 UTC,https://data.cdc.gov/Funding/Table-of-Recommended-Total-Funding-Levels-for-Stat/8qgt-54j8,"2014. Centers for Disease Control and Prevention (CDC). Best Practices for Comprehensive Tobacco Control Programs. Funding. CDC's Best Practices for Comprehensive Tobacco Control Programs is an evidence-based guide to help states plan and establish effective tobacco control programs to prevent and reduce tobacco use.  These data update Best Practices for Comprehensive Tobacco Control Programs—2007.  Data are reported at total and per capita funding levels. Data include recommended and minimum total funding levels for state programs, in addition to funding breakdowns by intervention areas such as: State and Community Interventions, Mass-Reach Health Communication Interventions, Cessation Interventions, Surveillance and Evaluation, and Infrastructure, Administration, and Management.",,"{'name': 'Table of Recommended Total Funding Levels for State Programs (CDC Best Practices for Comprehensive Tobacco Control Programs 2014)', 'id': '8qgt-54j8', 'description': ""2014. Centers for Disease Control and Prevention (CDC). Best Practices for Comprehensive Tobacco Control Programs. Funding. CDC's Best Practices for Comprehensive Tobacco Control Programs is an evidence-based guide to help states plan and establish effective tobacco control programs to prevent and reduce tobacco use.  These data update Best Practices for Comprehensive Tobacco Control Programs—2007.  Data are reported at total and per capita funding levels. Data include recommended and minimum total funding levels for state programs, in addition to funding breakdowns by intervention areas such as: State and Community Interventions, Mass-Reach Health Communication Interventions, Cessation Interventions, Surveillance and Evaluation, and Infrastructure, Administration, and Management."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Funding/Table-of-Recommended-Total-Funding-Levels-for-Stat/8qgt-54j8'}"
"Table of Smokefree Indoor Air for Private Worksites, Restaurants, and Bars (CDC STATE System Tobacco Legislation- Smokefree Indoor Air)",2389-pvg9,2389-pvg9_1736716898.179224_Table_of_Smokefree_Indoor_Air_for_Private_Worksites__Restaurants__and_Bars__CDC_STATE_System_Tobacco_Legislation-_Smokefree_Indoor_Air__20250112.csv.gz,2025-01-12 21:21:38 UTC,https://data.cdc.gov/Legislation/Table-of-Smokefree-Indoor-Air-for-Private-Worksite/2389-pvg9,"1995-2024. Centers for Disease Control and Prevention (CDC).  State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation – Smokefree Indoor Air for Private Worksites, Restaurants, and Bars (CDC STATE System Tobacco Legislation). The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to state Smokefree indoor air policies in areas such as: Private Worksites, Restaurants, and Bars.","<https://data.cdc.gov/Legislation/Table-of-Smokefree-Indoor-Air-for-Private-Worksite/2389-pvg9>; rel=""original"",
<http://web.archive.org/web/timemap/link/https://data.cdc.gov/Legislation/Table-of-Smokefree-Indoor-Air-for-Private-Worksite/2389-pvg9>; rel=""self""; type=""application/link-format""; from=""Thu, 10 Aug 2023 10:03:23 GMT"",
<http://web.archive.org/web/https://data.cdc.gov/Legislation/Table-of-Smokefree-Indoor-Air-for-Private-Worksite/2389-pvg9>; rel=""timegate"",
<http://web.archive.org/web/20230810100323/https://data.cdc.gov/Legislation/Table-of-Smokefree-Indoor-Air-for-Private-Worksite/2389-pvg9>; rel=""first memento""; datetime=""Thu, 10 Aug 2023 10:03:23 GMT"",
<http://web.archive.org/web/20231129214017/https://data.cdc.gov/Legislation/Table-of-Smokefree-Indoor-Air-for-Private-Worksite/2389-pvg9>; rel=""memento""; datetime=""Wed, 29 Nov 2023 21:40:17 GMT"",
<http://web.archive.org/web/20240625121550/https://data.cdc.gov/Legislation/Table-of-Smokefree-Indoor-Air-for-Private-Worksite/2389-pvg9>; rel=""memento""; datetime=""Tue, 25 Jun 2024 12:15:50 GMT"",
<http://web.archive.org/web/20241006081250/https://data.cdc.gov/Legislation/Table-of-Smokefree-Indoor-Air-for-Private-Worksite/2389-pvg9>; rel=""memento""; datetime=""Sun, 06 Oct 2024 08:12:50 GMT"",
<http://web.archive.org/web/20241128011852/https://data.cdc.gov/Legislation/Table-of-Smokefree-Indoor-Air-for-Private-Worksite/2389-pvg9>; rel=""memento""; datetime=""Thu, 28 Nov 2024 01:18:52 GMT"",
<http://web.archive.org/web/20250201024453/https://data.cdc.gov/Legislation/Table-of-Smokefree-Indoor-Air-for-Private-Worksite/2389-pvg9>; rel=""memento""; datetime=""Sat, 01 Feb 2025 02:44:53 GMT"",
<http://web.archive.org/web/20250201205043/https://data.cdc.gov/Legislation/Table-of-Smokefree-Indoor-Air-for-Private-Worksite/2389-pvg9>; rel=""memento""; datetime=""Sat, 01 Feb 2025 20:50:43 GMT"",
<http://web.archive.org/web/20250202082353/https://data.cdc.gov/Legislation/Table-of-Smokefree-Indoor-Air-for-Private-Worksite/2389-pvg9>; rel=""memento""; datetime=""Sun, 02 Feb 2025 08:23:53 GMT"",
<http://web.archive.org/web/20250202202705/https://data.cdc.gov/Legislation/Table-of-Smokefree-Indoor-Air-for-Private-Worksite/2389-pvg9>; rel=""memento""; datetime=""Sun, 02 Feb 2025 20:27:05 GMT"",
<http://web.archive.org/web/20250203044308/https://data.cdc.gov/Legislation/Table-of-Smokefree-Indoor-Air-for-Private-Worksite/2389-pvg9>; rel=""memento""; datetime=""Mon, 03 Feb 2025 04:43:08 GMT"",
<http://web.archive.org/web/20250206185447/https://data.cdc.gov/Legislation/Table-of-Smokefree-Indoor-Air-for-Private-Worksite/2389-pvg9>; rel=""memento""; datetime=""Thu, 06 Feb 2025 18:54:47 GMT"",
<http://web.archive.org/web/20250206185514/https://data.cdc.gov/Legislation/Table-of-Smokefree-Indoor-Air-for-Private-Worksite/2389-pvg9/>; rel=""memento""; datetime=""Thu, 06 Feb 2025 18:55:14 GMT"",
<http://web.archive.org/web/20250206185551/https://data.cdc.gov/Legislation/Table-of-Smokefree-Indoor-Air-for-Private-Worksite/2389-pvg9>; rel=""memento""; datetime=""Thu, 06 Feb 2025 18:55:51 GMT""
","{'name': 'Table of Smokefree Indoor Air for Private Worksites, Restaurants, and Bars (CDC STATE System Tobacco Legislation- Smokefree Indoor Air)', 'id': '2389-pvg9', 'description': '1995-2024. Centers for Disease Control and Prevention (CDC).  State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation – Smokefree Indoor Air for Private Worksites, Restaurants, and Bars (CDC STATE System Tobacco Legislation). The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to state Smokefree indoor air policies in areas such as: Private Worksites, Restaurants, and Bars.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Legislation/Table-of-Smokefree-Indoor-Air-for-Private-Worksite/2389-pvg9'}"
Table of Smokefree Non-Tribal Gaming Facilities (CDC STATE System Tobacco Legislation- Smokefree Indoor Air),f6ee-eq37,f6ee-eq37_1736718652.384169_Table_of_Smokefree_Non-Tribal_Gaming_Facilities__CDC_STATE_System_Tobacco_Legislation-_Smokefree_Indoor_Air__20250112.csv.gz,2025-01-12 21:50:52 UTC,https://data.cdc.gov/Legislation/Table-of-Smokefree-Non-Tribal-Gaming-Facilities-CD/f6ee-eq37,"1995-2024. Centers for Disease Control and Prevention (CDC).  State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation – Smokefree Indoor Air. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to state legislation on smokefree indoor air in areas such as: Bars, Commercial Day Care Centers, Government Multi-Unit Housing, Government Worksites, Home-Based Day Care Centers, Hotels and Motels, Personal Vehicles, Private Multi-Unit Housing, Private Worksites, Restaurants, Bingo Halls, Casinos, Enclosed Arenas, Grocery Stores, Hospitals, Hospital Campuses, Malls, Mental Health Outpatient and Residential Facilities, Prisons, Public Transportation, Racetrack Casinos, Substance Abuse Outpatient and Residential Facilities.",,"{'name': 'Table of Smokefree Non-Tribal Gaming Facilities (CDC STATE System Tobacco Legislation- Smokefree Indoor Air)', 'id': 'f6ee-eq37', 'description': '1995-2024. Centers for Disease Control and Prevention (CDC).  State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation – Smokefree Indoor Air. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to state legislation on smokefree indoor air in areas such as: Bars, Commercial Day Care Centers, Government Multi-Unit Housing, Government Worksites, Home-Based Day Care Centers, Hotels and Motels, Personal Vehicles, Private Multi-Unit Housing, Private Worksites, Restaurants, Bingo Halls, Casinos, Enclosed Arenas, Grocery Stores, Hospitals, Hospital Campuses, Malls, Mental Health Outpatient and Residential Facilities, Prisons, Public Transportation, Racetrack Casinos, Substance Abuse Outpatient and Residential Facilities.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Legislation/Table-of-Smokefree-Non-Tribal-Gaming-Facilities-CD/f6ee-eq37'}"
Table of States with Laws Prohibiting Sales of E-Cigarettes to Minors (CDC STATE System E-Cigarette Legislation - Youth Access),yvdd-g9b2,yvdd-g9b2_1736727756.259002_Table_of_States_with_Laws_Prohibiting_Sales_of_E-Cigarettes_to_Minors__CDC_STATE_System_E-Cigarette_Legislation_-_Youth_Access__20250113.csv.gz,2025-01-13 00:22:36 UTC,https://data.cdc.gov/Legislation/Table-of-States-with-Laws-Prohibiting-Sales-of-E-C/yvdd-g9b2,"1995-2024. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. E-Cigarette Legislation—Youth Access. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies.  Data are reported on a quarterly basis. Data include information related to restrictions, enforcement and penalties associated with the sale of e-cigarettes to youth through retail sales and vending machines.",,"{'name': 'Table of States with Laws Prohibiting Sales of E-Cigarettes to Minors (CDC STATE System E-Cigarette Legislation - Youth Access)', 'id': 'yvdd-g9b2', 'description': '1995-2024. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. E-Cigarette Legislation—Youth Access. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies.  Data are reported on a quarterly basis. Data include information related to restrictions, enforcement and penalties associated with the sale of e-cigarettes to youth through retail sales and vending machines.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Legislation/Table-of-States-with-Laws-Prohibiting-Sales-of-E-C/yvdd-g9b2'}"
"Table of States with Laws Prohibiting the Use of E-Cigarettes in Indoor Areas of Private Worksites, Restaurants, and Bars (CDC STATE System E-Cigarette Legislation - Smokefree Indoor Air)",i4qp-fnai,i4qp-fnai_1736729033.803749_Table_of_States_with_Laws_Prohibiting_the_Use_of_E-Cigarettes_in_Indoor_Areas_of_Private_Worksites__Restaurants__and_Bars__CDC_STATE_System_E-Cigarette_Legislation_-_Smokefree_Indoor_Air__20250113.csv.gz,2025-01-13 00:43:53 UTC,https://data.cdc.gov/Legislation/Table-of-States-with-Laws-Prohibiting-the-Use-of-E/i4qp-fnai,"1995-2024. Centers for Disease Control and Prevention (CDC).  State Tobacco Activities Tracking and Evaluation (STATE) System.  E-Cigarette Legislation—Smokefree Indoor Air. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to state legislation on smokefree indoor air in areas such as: Bars, Private Worksites, and Restaurants.",,"{'name': 'Table of States with Laws Prohibiting the Use of E-Cigarettes in Indoor Areas of Private Worksites, Restaurants, and Bars (CDC STATE System E-Cigarette Legislation - Smokefree Indoor Air)', 'id': 'i4qp-fnai', 'description': '1995-2024. Centers for Disease Control and Prevention (CDC).  State Tobacco Activities Tracking and Evaluation (STATE) System.  E-Cigarette Legislation—Smokefree Indoor Air. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to state legislation on smokefree indoor air in areas such as: Bars, Private Worksites, and Restaurants.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Legislation/Table-of-States-with-Laws-Prohibiting-the-Use-of-E/i4qp-fnai'}"
Table of States with Laws Requiring Licenses For Over-the-counter Sales of Cigarettes (CDC STATE System Tobacco Legislation - Licensure),su9n-dw6z,su9n-dw6z_1736734005.172570_Table_of_States_with_Laws_Requiring_Licenses_For_Over-the-counter_Sales_of_Cigarettes__CDC_STATE_System_Tobacco_Legislation_-_Licensure__20250113.csv.gz,2025-01-13 02:06:45 UTC,https://data.cdc.gov/Legislation/Table-of-States-with-Laws-Requiring-Licenses-For-O/su9n-dw6z,"1995-2024. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation—Licensure. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies.  Data are reported on a quarterly basis. Data include information related to requirements, restrictions and penalties associated with holding a retail license to sell tobacco products over-the-counter and through vending machines.",,"{'name': 'Table of States with Laws Requiring Licenses For Over-the-counter Sales of Cigarettes (CDC STATE System Tobacco Legislation - Licensure)', 'id': 'su9n-dw6z', 'description': '1995-2024. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation—Licensure. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies.  Data are reported on a quarterly basis. Data include information related to requirements, restrictions and penalties associated with holding a retail license to sell tobacco products over-the-counter and through vending machines.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Legislation/Table-of-States-with-Laws-Requiring-Licenses-For-O/su9n-dw6z'}"
Table of States with Laws Requiring Licenses For Over-the-counter Sales of E-Cigarettes (CDC STATE System E-Cigarette Legislation - Licensure),exds-h9fr,exds-h9fr_1736731512.913193_Table_of_States_with_Laws_Requiring_Licenses_For_Over-the-counter_Sales_of_E-Cigarettes__CDC_STATE_System_E-Cigarette_Legislation_-_Licensure__20250113.csv.gz,2025-01-13 01:25:12 UTC,https://data.cdc.gov/Legislation/Table-of-States-with-Laws-Requiring-Licenses-For-O/exds-h9fr,"1995-2024. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System.  E-Cigarette Legislation—Licensure. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies.  Data are reported on a quarterly basis. Data include information related to requirements, restrictions and penalties associated with holding a retail license to sell e-cigarettes over-the-counter and through vending machines.",,"{'name': 'Table of States with Laws Requiring Licenses For Over-the-counter Sales of E-Cigarettes (CDC STATE System E-Cigarette Legislation - Licensure)', 'id': 'exds-h9fr', 'description': '1995-2024. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System.  E-Cigarette Legislation—Licensure. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies.  Data are reported on a quarterly basis. Data include information related to requirements, restrictions and penalties associated with holding a retail license to sell e-cigarettes over-the-counter and through vending machines.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Legislation/Table-of-States-with-Laws-Requiring-Licenses-For-O/exds-h9fr'}"
Table of States with Laws Taxing E-Cigarettes (CDC STATE System E-Cigarette Legislation - Tax),qywg-yegp,qywg-yegp_1736726966.956876_Table_of_States_with_Laws_Taxing_E-Cigarettes__CDC_STATE_System_E-Cigarette_Legislation_-_Tax__20250113.csv.gz,2025-01-13 00:09:26 UTC,https://data.cdc.gov/Legislation/Table-of-States-with-Laws-Taxing-E-Cigarettes-CDC-/qywg-yegp,1995-2024. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System.  E-Cigarette Legislation—Tax. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include state excise taxes on e-cigarettes and tax stamps.,"<https://data.cdc.gov/Legislation/Table-of-States-with-Laws-Taxing-E-Cigarettes-CDC-/qywg-yegp>; rel=""original"",
<http://web.archive.org/web/timemap/link/https://data.cdc.gov/Legislation/Table-of-States-with-Laws-Taxing-E-Cigarettes-CDC-/qywg-yegp>; rel=""self""; type=""application/link-format""; from=""Thu, 10 Aug 2023 10:03:21 GMT"",
<http://web.archive.org/web/https://data.cdc.gov/Legislation/Table-of-States-with-Laws-Taxing-E-Cigarettes-CDC-/qywg-yegp>; rel=""timegate"",
<http://web.archive.org/web/20230810100321/https://data.cdc.gov/Legislation/Table-of-States-with-Laws-Taxing-E-Cigarettes-CDC-/qywg-yegp>; rel=""first memento""; datetime=""Thu, 10 Aug 2023 10:03:21 GMT"",
<http://web.archive.org/web/20241006081538/https://data.cdc.gov/Legislation/Table-of-States-with-Laws-Taxing-E-Cigarettes-CDC-/qywg-yegp>; rel=""memento""; datetime=""Sun, 06 Oct 2024 08:15:38 GMT"",
<http://web.archive.org/web/20241128022435/https://data.cdc.gov/Legislation/Table-of-States-with-Laws-Taxing-E-Cigarettes-CDC-/qywg-yegp>; rel=""memento""; datetime=""Thu, 28 Nov 2024 02:24:35 GMT"",
<http://web.archive.org/web/20250117211054/https://data.cdc.gov/Legislation/Table-of-States-with-Laws-Taxing-E-Cigarettes-CDC-/qywg-yegp>; rel=""memento""; datetime=""Fri, 17 Jan 2025 21:10:54 GMT"",
<http://web.archive.org/web/20250201005811/https://data.cdc.gov/Legislation/Table-of-States-with-Laws-Taxing-E-Cigarettes-CDC-/qywg-yegp>; rel=""memento""; datetime=""Sat, 01 Feb 2025 00:58:11 GMT"",
<http://web.archive.org/web/20250201215501/https://data.cdc.gov/Legislation/Table-of-States-with-Laws-Taxing-E-Cigarettes-CDC-/qywg-yegp>; rel=""memento""; datetime=""Sat, 01 Feb 2025 21:55:01 GMT"",
<http://web.archive.org/web/20250202083534/https://data.cdc.gov/Legislation/Table-of-States-with-Laws-Taxing-E-Cigarettes-CDC-/qywg-yegp>; rel=""memento""; datetime=""Sun, 02 Feb 2025 08:35:34 GMT"",
<http://web.archive.org/web/20250204175939/https://data.cdc.gov/Legislation/Table-of-States-with-Laws-Taxing-E-Cigarettes-CDC-/qywg-yegp>; rel=""memento""; datetime=""Tue, 04 Feb 2025 17:59:39 GMT"",
<http://web.archive.org/web/20250209012431/https://data.cdc.gov/Legislation/Table-of-States-with-Laws-Taxing-E-Cigarettes-CDC-/qywg-yegp>; rel=""memento""; datetime=""Sun, 09 Feb 2025 01:24:31 GMT"",
<http://web.archive.org/web/20250211180142/https://data.cdc.gov/Legislation/Table-of-States-with-Laws-Taxing-E-Cigarettes-CDC-/qywg-yegp/>; rel=""memento""; datetime=""Tue, 11 Feb 2025 18:01:42 GMT"",
<http://web.archive.org/web/20250211180202/https://data.cdc.gov/Legislation/Table-of-States-with-Laws-Taxing-E-Cigarettes-CDC-/qywg-yegp>; rel=""memento""; datetime=""Tue, 11 Feb 2025 18:02:02 GMT"",
<http://web.archive.org/web/20250211180204/https://data.cdc.gov/Legislation/Table-of-States-with-Laws-Taxing-E-Cigarettes-CDC-/qywg-yegp>; rel=""memento""; datetime=""Tue, 11 Feb 2025 18:02:04 GMT""
","{'name': 'Table of States with Laws Taxing E-Cigarettes (CDC STATE System E-Cigarette Legislation - Tax)', 'id': 'qywg-yegp', 'description': '1995-2024. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System.  E-Cigarette Legislation—Tax. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include state excise taxes on e-cigarettes and tax stamps.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Legislation/Table-of-States-with-Laws-Taxing-E-Cigarettes-CDC-/qywg-yegp'}"
Telemedicine Use in the Last 4 Weeks,h7xa-837u,h7xa-837u_1736715670.671521_Telemedicine_Use_in_the_Last_4_Weeks_20250112.csv.gz,2025-01-12 21:01:10 UTC,https://data.cdc.gov/NCHS/Telemedicine-Use-in-the-Last-4-Weeks/h7xa-837u,"To rapidly monitor recent changes in the use of telemedicine, the National Center for Health Statistics (NCHS) and the Health Resources and Services Administration’s Maternal and Child Health Bureau (HRSA MCHB) partnered with the Census Bureau on an experimental data system called the Household Pulse Survey. This 20-minute online survey was designed to complement the ability of the federal statistical system to rapidly respond and provide relevant information about the impact of the coronavirus pandemic in the U.S.

The U.S. Census Bureau, in collaboration with five federal agencies, launched the Household Pulse Survey to produce data on the social and economic impacts of the COVID-19 pandemic on American households.  The Household Pulse Survey was designed to gauge the impact of the pandemic on employment status, consumer spending, food security, housing, education disruptions, and dimensions of physical and mental wellness.

The survey was designed to meet the goal of accurate and timely estimates. It was conducted by an internet questionnaire, with invitations to participate sent by email and text message. The sample frame is the Census Bureau Master Address File Data. Housing units linked to one or more email addresses or cell phone numbers were randomly selected to participate, and one respondent from each housing unit was selected to respond for him or herself. Estimates are weighted to adjust for nonresponse and to match Census Bureau estimates of the population by age, sex, race and ethnicity, and educational attainment. All estimates shown meet the NCHS Data Presentation Standards for Proportions.","<https://data.cdc.gov/NCHS/Telemedicine-Use-in-the-Last-4-Weeks/h7xa-837u>; rel=""original"",
<http://web.archive.org/web/timemap/link/https://data.cdc.gov/NCHS/Telemedicine-Use-in-the-Last-4-Weeks/h7xa-837u>; rel=""self""; type=""application/link-format""; from=""Tue, 25 Jan 2022 07:37:22 GMT"",
<http://web.archive.org/web/https://data.cdc.gov/NCHS/Telemedicine-Use-in-the-Last-4-Weeks/h7xa-837u>; rel=""timegate"",
<http://web.archive.org/web/20220125073722/https://data.cdc.gov/NCHS/Telemedicine-Use-in-the-Last-4-Weeks/h7xa-837u>; rel=""first memento""; datetime=""Tue, 25 Jan 2022 07:37:22 GMT"",
<http://web.archive.org/web/20220216014809/https://data.cdc.gov/NCHS/Telemedicine-Use-in-the-Last-4-Weeks/h7xa-837u>; rel=""memento""; datetime=""Wed, 16 Feb 2022 01:48:09 GMT"",
<http://web.archive.org/web/20220217023354/https://data.cdc.gov/NCHS/Telemedicine-Use-in-the-Last-4-Weeks/h7xa-837u>; rel=""memento""; datetime=""Thu, 17 Feb 2022 02:33:54 GMT"",
<http://web.archive.org/web/20220510125450/https://data.cdc.gov/NCHS/Telemedicine-Use-in-the-Last-4-Weeks/h7xa-837u>; rel=""memento""; datetime=""Tue, 10 May 2022 12:54:50 GMT"",
<http://web.archive.org/web/20221128074758/https://data.cdc.gov/NCHS/Telemedicine-Use-in-the-Last-4-Weeks/h7xa-837u>; rel=""memento""; datetime=""Mon, 28 Nov 2022 07:47:58 GMT"",
<http://web.archive.org/web/20221230181534/https://data.cdc.gov/NCHS/Telemedicine-Use-in-the-Last-4-Weeks/h7xa-837u>; rel=""memento""; datetime=""Fri, 30 Dec 2022 18:15:34 GMT"",
<http://web.archive.org/web/20221230181547/https://data.cdc.gov/NCHS/Telemedicine-Use-in-the-Last-4-Weeks/h7xa-837u>; rel=""memento""; datetime=""Fri, 30 Dec 2022 18:15:47 GMT"",
<http://web.archive.org/web/20221230181554/https://data.cdc.gov/NCHS/Telemedicine-Use-in-the-Last-4-Weeks/h7xa-837u>; rel=""memento""; datetime=""Fri, 30 Dec 2022 18:15:54 GMT"",
<http://web.archive.org/web/20230124232008/https://data.cdc.gov/NCHS/Telemedicine-Use-in-the-Last-4-Weeks/h7xa-837u>; rel=""memento""; datetime=""Tue, 24 Jan 2023 23:20:08 GMT"",
<http://web.archive.org/web/20230208103356/https://data.cdc.gov/NCHS/Telemedicine-Use-in-the-Last-4-Weeks/h7xa-837u>; rel=""memento""; datetime=""Wed, 08 Feb 2023 10:33:56 GMT"",
<http://web.archive.org/web/20230212020848/https://data.cdc.gov/NCHS/Telemedicine-Use-in-the-Last-4-Weeks/h7xa-837u>; rel=""memento""; datetime=""Sun, 12 Feb 2023 02:08:48 GMT"",
<http://web.archive.org/web/20230212135732/https://data.cdc.gov/NCHS/Telemedicine-Use-in-the-Last-4-Weeks/h7xa-837u>; rel=""memento""; datetime=""Sun, 12 Feb 2023 13:57:32 GMT"",
<http://web.archive.org/web/20230428195108/http://data.cdc.gov/NCHS/Telemedicine-Use-in-the-Last-4-Weeks/h7xa-837u>; rel=""memento""; datetime=""Fri, 28 Apr 2023 19:51:08 GMT"",
<http://web.archive.org/web/20230428220857/https://data.cdc.gov/NCHS/Telemedicine-Use-in-the-Last-4-Weeks/h7xa-837u>; rel=""memento""; datetime=""Fri, 28 Apr 2023 22:08:57 GMT"",
<http://web.archive.org/web/20240121035326/https://data.cdc.gov/NCHS/Telemedicine-Use-in-the-Last-4-Weeks/h7xa-837u>; rel=""memento""; datetime=""Sun, 21 Jan 2024 03:53:26 GMT"",
<http://web.archive.org/web/20240526210805/https://data.cdc.gov/NCHS/Telemedicine-Use-in-the-Last-4-Weeks/h7xa-837u>; rel=""memento""; datetime=""Sun, 26 May 2024 21:08:05 GMT"",
<http://web.archive.org/web/20241005142242/https://data.cdc.gov/NCHS/Telemedicine-Use-in-the-Last-4-Weeks/h7xa-837u>; rel=""memento""; datetime=""Sat, 05 Oct 2024 14:22:42 GMT"",
<http://web.archive.org/web/20241114173025/https://data.cdc.gov/NCHS/Telemedicine-Use-in-the-Last-4-Weeks/h7xa-837u>; rel=""memento""; datetime=""Thu, 14 Nov 2024 17:30:25 GMT"",
<http://web.archive.org/web/20241126164208/https://data.cdc.gov/NCHS/Telemedicine-Use-in-the-Last-4-Weeks/h7xa-837u>; rel=""memento""; datetime=""Tue, 26 Nov 2024 16:42:08 GMT"",
<http://web.archive.org/web/20241204091943/https://data.cdc.gov/NCHS/Telemedicine-Use-in-the-Last-4-Weeks/h7xa-837u>; rel=""memento""; datetime=""Wed, 04 Dec 2024 09:19:43 GMT"",
<http://web.archive.org/web/20241211064742/https://data.cdc.gov/NCHS/Telemedicine-Use-in-the-Last-4-Weeks/h7xa-837u>; rel=""memento""; datetime=""Wed, 11 Dec 2024 06:47:42 GMT"",
<http://web.archive.org/web/20250131221347/https://data.cdc.gov/NCHS/Telemedicine-Use-in-the-Last-4-Weeks/h7xa-837u>; rel=""memento""; datetime=""Fri, 31 Jan 2025 22:13:47 GMT"",
<http://web.archive.org/web/20250201015147/https://data.cdc.gov/NCHS/Telemedicine-Use-in-the-Last-4-Weeks/h7xa-837u>; rel=""memento""; datetime=""Sat, 01 Feb 2025 01:51:47 GMT"",
<http://web.archive.org/web/20250201215604/https://data.cdc.gov/NCHS/Telemedicine-Use-in-the-Last-4-Weeks/h7xa-837u>; rel=""memento""; datetime=""Sat, 01 Feb 2025 21:56:04 GMT"",
<http://web.archive.org/web/20250202163351/https://data.cdc.gov/NCHS/Telemedicine-Use-in-the-Last-4-Weeks/h7xa-837u>; rel=""memento""; datetime=""Sun, 02 Feb 2025 16:33:51 GMT"",
<http://web.archive.org/web/20250205005324/https://data.cdc.gov/NCHS/Telemedicine-Use-in-the-Last-4-Weeks/h7xa-837u>; rel=""memento""; datetime=""Wed, 05 Feb 2025 00:53:24 GMT"",
<http://web.archive.org/web/20250207103457/https://data.cdc.gov/NCHS/Telemedicine-Use-in-the-Last-4-Weeks/h7xa-837u>; rel=""memento""; datetime=""Fri, 07 Feb 2025 10:34:57 GMT"",
<http://web.archive.org/web/20250211193727/https://data.cdc.gov/NCHS/Telemedicine-Use-in-the-Last-4-Weeks/h7xa-837u/>; rel=""memento""; datetime=""Tue, 11 Feb 2025 19:37:27 GMT"",
<http://web.archive.org/web/20250211193733/https://data.cdc.gov/NCHS/Telemedicine-Use-in-the-Last-4-Weeks/h7xa-837u>; rel=""memento""; datetime=""Tue, 11 Feb 2025 19:37:33 GMT"",
<http://web.archive.org/web/20250211193753/https://data.cdc.gov/NCHS/Telemedicine-Use-in-the-Last-4-Weeks/h7xa-837u>; rel=""memento""; datetime=""Tue, 11 Feb 2025 19:37:53 GMT""
","{'name': 'Telemedicine Use in the Last 4 Weeks', 'id': 'h7xa-837u', 'description': 'To rapidly monitor recent changes in the use of telemedicine, the National Center for Health Statistics (NCHS) and the Health Resources and Services Administration’s Maternal and Child Health Bureau (HRSA MCHB) partnered with the Census Bureau on an experimental data system called the Household Pulse Survey. This 20-minute online survey was designed to complement the ability of the federal statistical system to rapidly respond and provide relevant information about the impact of the coronavirus pandemic in the U.S.\n\nThe U.S. Census Bureau, in collaboration with five federal agencies, launched the Household Pulse Survey to produce data on the social and economic impacts of the COVID-19 pandemic on American households.  The Household Pulse Survey was designed to gauge the impact of the pandemic on employment status, consumer spending, food security, housing, education disruptions, and dimensions of physical and mental wellness.\n\nThe survey was designed to meet the goal of accurate and timely estimates. It was conducted by an internet questionnaire, with invitations to participate sent by email and text message. The sample frame is the Census Bureau Master Address File Data. Housing units linked to one or more email addresses or cell phone numbers were randomly selected to participate, and one respondent from each housing unit was selected to respond for him or herself. Estimates are weighted to adjust for nonresponse and to match Census Bureau estimates of the population by age, sex, race and ethnicity, and educational attainment. All estimates shown meet the NCHS Data Presentation Standards for Proportions.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Telemedicine-Use-in-the-Last-4-Weeks/h7xa-837u'}"
Tests for antibodies to trachoma PGP3 antigen,pwgb-7r9t,pwgb-7r9t_1736729104.959377_Tests_for_antibodies_to_trachoma_PGP3_antigen_20250113.csv.gz,2025-01-13 00:45:04 UTC,https://data.cdc.gov/Global-Health/Tests-for-antibodies-to-trachoma-PGP3-antigen/pwgb-7r9t,"This set includes data used in a latent class model to compare testing platforms for detection of antibodies against the Chlamydia trachomatis antigen Pgp3.  The analysis was published as: Latent class modeling to compare testing platforms for detection of antibodies against the Chlamydia trachomatis antigen Pgp3. Wiegand RE, Cooley G, Goodhew B, Banniettis N, Kohlhoff S, Gwyn S, Martin DL. Sci Rep. 2018 Mar 9;8(1):4232. doi: 10.1038/s41598-018-22708-9. PMID: 29523810",,"{'name': 'Tests for antibodies to trachoma PGP3 antigen', 'id': 'pwgb-7r9t', 'description': 'This set includes data used in a latent class model to compare testing platforms for detection of antibodies against the Chlamydia trachomatis antigen Pgp3.  The analysis was published as: Latent class modeling to compare testing platforms for detection of antibodies against the Chlamydia trachomatis antigen Pgp3. Wiegand RE, Cooley G, Goodhew B, Banniettis N, Kohlhoff S, Gwyn S, Martin DL. Sci Rep. 2018 Mar 9;8(1):4232. doi: 10.1038/s41598-018-22708-9. PMID: 29523810', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Global-Health/Tests-for-antibodies-to-trachoma-PGP3-antigen/pwgb-7r9t'}"
"The Tax Burden on Tobacco, 1970-2019",7nwe-3aj9,7nwe-3aj9_1736708938.876746_The_Tax_Burden_on_Tobacco__1970-2019_20250112.csv.gz,2025-01-12 19:08:58 UTC,https://data.cdc.gov/Policy/The-Tax-Burden-on-Tobacco-1970-2019/7nwe-3aj9,"1970-2019. Orzechowski and Walker. Tax Burden on Tobacco. Tax burden data was obtained from the annual compendium on tobacco revenue and industry statistics, The Tax Burden on Tobacco. Data are reported on an annual basis; Data include federal and state-level information regarding taxes applied to the price of a pack of cigarettes.",,"{'name': 'The Tax Burden on Tobacco, 1970-2019', 'id': '7nwe-3aj9', 'description': '1970-2019. Orzechowski and Walker. Tax Burden on Tobacco. Tax burden data was obtained from the annual compendium on tobacco revenue and industry statistics, The Tax Burden on Tobacco. Data are reported on an annual basis; Data include federal and state-level information regarding taxes applied to the price of a pack of cigarettes.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Policy/The-Tax-Burden-on-Tobacco-1970-2019/7nwe-3aj9'}"
Top syndicated pages from CDC.gov by weekly page views,rppv-wbiv,rppv-wbiv_1736712388.511186_Top_syndicated_pages_from_CDC.gov_by_weekly_page_views_20250112.csv.gz,2025-01-12 20:06:28 UTC,https://data.cdc.gov/Web-Metrics/Top-syndicated-pages-from-CDC-gov-by-weekly-page-v/rppv-wbiv,The CDC Content Syndication site at https://tools.cdc.gov/syndication/ allows you to import content from CDC websites directly into your own website or application. These services are provided free of charge from CDC. The data shown in this table represent the weekly top page views from CDC.gov offered by syndication.,,"{'name': 'Top syndicated pages from CDC.gov by weekly page views', 'id': 'rppv-wbiv', 'description': 'The CDC Content Syndication site at https://tools.cdc.gov/syndication/ allows you to import content from CDC websites directly into your own website or application. These services are provided free of charge from CDC. The data shown in this table represent the weekly top page views from CDC.gov offered by syndication.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Web-Metrics/Top-syndicated-pages-from-CDC-gov-by-weekly-page-v/rppv-wbiv'}"
"Total COVID-19 Deaths since January 1, 2020 by Age Group, Race/Ethnicity, and Sex",kmxt-xb3i,kmxt-xb3i_1736720666.105023_Total_COVID-19_Deaths_since_January_1__2020_by_Age_Group__Race_Ethnicity__and_Sex_20250112.csv.gz,2025-01-12 22:24:26 UTC,https://data.cdc.gov/Public-Health-Surveillance/Total-COVID-19-Deaths-since-January-1-2020-by-Age-/kmxt-xb3i,"Count and percent of total COVID-19 deaths since January 1, 2020, by age group, race/ethnicity, and sex",,"{'name': 'Total COVID-19 Deaths since January 1, 2020 by Age Group, Race/Ethnicity, and Sex', 'id': 'kmxt-xb3i', 'description': 'Count and percent of total COVID-19 deaths since January 1, 2020, by age group, race/ethnicity, and sex', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/Total-COVID-19-Deaths-since-January-1-2020-by-Age-/kmxt-xb3i'}"
"Trends in COVID-19 Cases and Deaths in the United States, by County-level Population Factors - ARCHIVED",njmz-dpbc,njmz-dpbc_1736726994.303773_Trends_in_COVID-19_Cases_and_Deaths_in_the_United_States__by_County-level_Population_Factors_-_ARCHIVED_20250113.csv.gz,2025-01-13 00:09:54 UTC,https://data.cdc.gov/dataset/Trends-in-COVID-19-Cases-and-Deaths-in-the-United-/njmz-dpbc,"Reporting of Aggregate Case and Death Count data was discontinued on May 11, 2023, with the expiration of the COVID-19 public health emergency declaration. Although these data will continue to be publicly available, this dataset will no longer be updated.

The surveillance case definition for COVID-19, a nationally notifiable disease, was first described in a <a href=""https://ndc.services.cdc.gov/case-definitions/coronavirus-disease-2019-2021/"">position statement</a> from the Council for State and Territorial Epidemiologists, which was later <a href=""https://ndc.services.cdc.gov/case-definitions/coronavirus-disease-2019-covid-19/"">revised</a>. However, there is some variation in how jurisdictions implemented these case definitions. More information on how CDC collects COVID-19 case surveillance data can be found at <a href=""https://www.cdc.gov/coronavirus/2019-ncov/covid-data/faq-surveillance.html"">FAQ: COVID-19 Data and Surveillance</a>.

<b>Aggregate Data Collection Process</b>
Since the beginning of the COVID-19 pandemic, data were reported from state and local health departments through a robust process with the following steps:
<ul><li>Aggregate county-level counts were obtained indirectly, via automated overnight web collection, or directly, via a data submission process.</li><li>If more than one official county data source existed, CDC used a comprehensive data selection process comparing each official county data source to retrieve the highest case and death counts, unless otherwise specified by the state.</li><li>A CDC data team reviewed counts for congruency prior to integration and set up alerts to monitor for discrepancies in the data.</li><li>CDC routinely compiled these data and post the finalized information on COVID Data Tracker.</li><li>County level data were aggregated to obtain state- and territory- specific totals.</li><li>Counting of cases and deaths is based on date of report and not on the date of symptom onset. CDC calculates rates in these data by using population estimates provided by the US Census Bureau Population Estimates Program (2019 Vintage).</li><li>COVID-19 aggregate case and death data are organized in a time series that includes cumulative number of cases and deaths as reported by a jurisdiction on a given date.  New case and death counts are calculated as the week-to-week change in cumulative counts of cases and deaths reported (i.e., newly reported cases and deaths = cumulative number of cases/deaths reported this week minus the cumulative total reported the prior week.</li></ul>

This process was collaborative, with CDC and jurisdictions working together to ensure the accuracy of COVID-19 case and death numbers. County counts provided the most up-to-date numbers on cases and deaths by report date. Throughout data collection, CDC retrospectively updated counts to correct known data quality issues.

<b>Description</b>
This archived public use dataset focuses on the cumulative and weekly case and death rates per 100,000 persons within various sociodemographic factors across all states and their counties. All resulting data are expressed as rates calculated as the number of cases or deaths per 100,000 persons in counties meeting various classification criteria using <a href=""https://www.census.gov/data/datasets/time-series/demo/popest/2010s-counties-total.html"">the US Census Bureau Population Estimates Program</a> (2019 Vintage).

Each county within jurisdictions is classified into multiple categories for each factor. All rates in this dataset are based on classification of counties by the characteristics of their population, not individual-level factors.  This applies to each of the available factors observed in this dataset. Specific factors and their corresponding categories are detailed below.

<b>Population-level factors</b>
Each unique population factor is detailed below. Please note that the “Classification” column describes each of the 12 factors in the dataset, including a data dict","<https://data.cdc.gov/dataset/Trends-in-COVID-19-Cases-and-Deaths-in-the-United-/njmz-dpbc>; rel=""original"",
<http://web.archive.org/web/timemap/link/https://data.cdc.gov/dataset/Trends-in-COVID-19-Cases-and-Deaths-in-the-United-/njmz-dpbc>; rel=""self""; type=""application/link-format""; from=""Sat, 15 Jul 2023 10:23:07 GMT"",
<http://web.archive.org/web/https://data.cdc.gov/dataset/Trends-in-COVID-19-Cases-and-Deaths-in-the-United-/njmz-dpbc>; rel=""timegate"",
<http://web.archive.org/web/20230715102307/https://data.cdc.gov/dataset/Trends-in-COVID-19-Cases-and-Deaths-in-the-United-/njmz-dpbc>; rel=""first memento""; datetime=""Sat, 15 Jul 2023 10:23:07 GMT"",
<http://web.archive.org/web/20230930043647/https://data.cdc.gov/dataset/Trends-in-COVID-19-Cases-and-Deaths-in-the-United-/njmz-dpbc>; rel=""memento""; datetime=""Sat, 30 Sep 2023 04:36:47 GMT"",
<http://web.archive.org/web/20231221193248/https://data.cdc.gov/dataset/Trends-in-COVID-19-Cases-and-Deaths-in-the-United-/njmz-dpbc>; rel=""memento""; datetime=""Thu, 21 Dec 2023 19:32:48 GMT"",
<http://web.archive.org/web/20231221193248/https://data.cdc.gov/dataset/Trends-in-COVID-19-Cases-and-Deaths-in-the-United-/njmz-dpbc>; rel=""memento""; datetime=""Thu, 21 Dec 2023 19:32:48 GMT"",
<http://web.archive.org/web/20240516090051/https://data.cdc.gov/dataset/Trends-in-COVID-19-Cases-and-Deaths-in-the-United-/njmz-dpbc>; rel=""memento""; datetime=""Thu, 16 May 2024 09:00:51 GMT"",
<http://web.archive.org/web/20241121171655/https://data.cdc.gov/dataset/Trends-in-COVID-19-Cases-and-Deaths-in-the-United-/njmz-dpbc>; rel=""memento""; datetime=""Thu, 21 Nov 2024 17:16:55 GMT"",
<http://web.archive.org/web/20241123123649/https://data.cdc.gov/dataset/Trends-in-COVID-19-Cases-and-Deaths-in-the-United-/njmz-dpbc>; rel=""memento""; datetime=""Sat, 23 Nov 2024 12:36:49 GMT"",
<http://web.archive.org/web/20241125043559/https://data.cdc.gov/dataset/Trends-in-COVID-19-Cases-and-Deaths-in-the-United-/njmz-dpbc>; rel=""memento""; datetime=""Mon, 25 Nov 2024 04:35:59 GMT"",
<http://web.archive.org/web/20241128013808/https://data.cdc.gov/dataset/Trends-in-COVID-19-Cases-and-Deaths-in-the-United-/njmz-dpbc>; rel=""memento""; datetime=""Thu, 28 Nov 2024 01:38:08 GMT"",
<http://web.archive.org/web/20250201001618/https://data.cdc.gov/dataset/Trends-in-COVID-19-Cases-and-Deaths-in-the-United-/njmz-dpbc>; rel=""memento""; datetime=""Sat, 01 Feb 2025 00:16:18 GMT"",
<http://web.archive.org/web/20250201211812/https://data.cdc.gov/dataset/Trends-in-COVID-19-Cases-and-Deaths-in-the-United-/njmz-dpbc>; rel=""memento""; datetime=""Sat, 01 Feb 2025 21:18:12 GMT"",
<http://web.archive.org/web/20250204142556/https://data.cdc.gov/dataset/Trends-in-COVID-19-Cases-and-Deaths-in-the-United-/njmz-dpbc>; rel=""memento""; datetime=""Tue, 04 Feb 2025 14:25:56 GMT"",
<http://web.archive.org/web/20250208015259/https://data.cdc.gov/dataset/Trends-in-COVID-19-Cases-and-Deaths-in-the-United-/njmz-dpbc>; rel=""memento""; datetime=""Sat, 08 Feb 2025 01:52:59 GMT"",
<http://web.archive.org/web/20250210141831/https://data.cdc.gov/dataset/Trends-in-COVID-19-Cases-and-Deaths-in-the-United-/njmz-dpbc/>; rel=""memento""; datetime=""Mon, 10 Feb 2025 14:18:31 GMT"",
<http://web.archive.org/web/20250210141835/https://data.cdc.gov/dataset/Trends-in-COVID-19-Cases-and-Deaths-in-the-United-/njmz-dpbc>; rel=""memento""; datetime=""Mon, 10 Feb 2025 14:18:35 GMT"",
<http://web.archive.org/web/20250210141905/https://data.cdc.gov/dataset/Trends-in-COVID-19-Cases-and-Deaths-in-the-United-/njmz-dpbc>; rel=""memento""; datetime=""Mon, 10 Feb 2025 14:19:05 GMT""
","{'name': 'Trends in COVID-19 Cases and Deaths in the United States, by County-level Population Factors - ARCHIVED', 'id': 'njmz-dpbc', 'description': 'Reporting of Aggregate Case and Death Count data was discontinued on May 11, 2023, with the expiration of the COVID-19 public health emergency declaration. Although these data will continue to be publicly available, this dataset will no longer be updated.\n\nThe surveillance case definition for COVID-19, a nationally notifiable disease, was first described in a <a href=""https://ndc.services.cdc.gov/case-definitions/coronavirus-disease-2019-2021/"">position statement</a> from the Council for State and Territorial Epidemiologists, which was later <a href=""https://ndc.services.cdc.gov/case-definitions/coronavirus-disease-2019-covid-19/"">revised</a>. However, there is some variation in how jurisdictions implemented these case definitions. More information on how CDC collects COVID-19 case surveillance data can be found at <a href=""https://www.cdc.gov/coronavirus/2019-ncov/covid-data/faq-surveillance.html"">FAQ: COVID-19 Data and Surveillance</a>.\n\n<b>Aggregate Data Collection Process</b>\nSince the beginning of the COVID-19 pandemic, data were reported from state and local health departments through a robust process with the following steps:\n<ul><li>Aggregate county-level counts were obtained indirectly, via automated overnight web collection, or directly, via a data submission process.</li><li>If more than one official county data source existed, CDC used a comprehensive data selection process comparing each official county data source to retrieve the highest case and death counts, unless otherwise specified by the state.</li><li>A CDC data team reviewed counts for congruency prior to integration and set up alerts to monitor for discrepancies in the data.</li><li>CDC routinely compiled these data and post the finalized information on COVID Data Tracker.</li><li>County level data were aggregated to obtain state- and territory- specific totals.</li><li>Counting of cases and deaths is based on date of report and not on the date of symptom onset. CDC calculates rates in these data by using population estimates provided by the US Census Bureau Population Estimates Program (2019 Vintage).</li><li>COVID-19 aggregate case and death data are organized in a time series that includes cumulative number of cases and deaths as reported by a jurisdiction on a given date.  New case and death counts are calculated as the week-to-week change in cumulative counts of cases and deaths reported (i.e., newly reported cases and deaths = cumulative number of cases/deaths reported this week minus the cumulative total reported the prior week.</li></ul>\n\nThis process was collaborative, with CDC and jurisdictions working together to ensure the accuracy of COVID-19 case and death numbers. County counts provided the most up-to-date numbers on cases and deaths by report date. Throughout data collection, CDC retrospectively updated counts to correct known data quality issues.\n\n<b>Description</b>\nThis archived public use dataset focuses on the cumulative and weekly case and death rates per 100,000 persons within various sociodemographic factors across all states and their counties. All resulting data are expressed as rates calculated as the number of cases or deaths per 100,000 persons in counties meeting various classification criteria using <a href=""https://www.census.gov/data/datasets/time-series/demo/popest/2010s-counties-total.html"">the US Census Bureau Population Estimates Program</a> (2019 Vintage).\n\nEach county within jurisdictions is classified into multiple categories for each factor. All rates in this dataset are based on classification of counties by the characteristics of their population, not individual-level factors.  This applies to each of the available factors observed in this dataset. Specific factors and their corresponding categories are detailed below.\n\n<b>Population-level factors</b>\nEach unique population factor is detailed below. Please note that the “Classification” column describes each of the 12 factors in the dataset, including a data dict', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/dataset/Trends-in-COVID-19-Cases-and-Deaths-in-the-United-/njmz-dpbc'}"
U.S. Chronic Disease Indicators,hksd-2xuw,hksd-2xuw_1736716949.008712_U.S._Chronic_Disease_Indicators_20250112.csv.gz,2025-01-12 21:22:29 UTC,https://data.cdc.gov/Chronic-Disease-Indicators/U-S-Chronic-Disease-Indicators/hksd-2xuw,"CDC's Division of Population Health provides a cross-cutting set of 115 indicators developed by consensus among CDC, the Council of State and Territorial Epidemiologists, and the National Association of Chronic Disease Directors.  These indicators allow states and territories to uniformly define, collect, and report chronic disease data that are important to public health practice in their area. In addition to providing access to state-specific indicator data, the CDI web site serves as a gateway to additional information and data resources.",,"{'name': 'U.S. Chronic Disease Indicators', 'id': 'hksd-2xuw', 'description': ""CDC's Division of Population Health provides a cross-cutting set of 115 indicators developed by consensus among CDC, the Council of State and Territorial Epidemiologists, and the National Association of Chronic Disease Directors.  These indicators allow states and territories to uniformly define, collect, and report chronic disease data that are important to public health practice in their area. In addition to providing access to state-specific indicator data, the CDI web site serves as a gateway to additional information and data resources."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Chronic-Disease-Indicators/U-S-Chronic-Disease-Indicators/hksd-2xuw'}"
U.S. Life Expectancy at Birth by State and Census Tract - 2010-2015,5h56-n989,5h56-n989_1736711691.006606_U.S._Life_Expectancy_at_Birth_by_State_and_Census_Tract_-_2010-2015_20250112.csv.gz,2025-01-12 19:54:51 UTC,https://data.cdc.gov/NCHS/U-S-Life-Expectancy-at-Birth-by-State-and-Census-T/5h56-n989,"This dataset includes estimates of U.S. life expectancy at birth by state and census tract for the period 2010-2015 (1). Estimates were produced for 65,662 census tracts, covering the District of Columbia (D.C.) and all states, excluding Maine and Wisconsin, representing 88.7% of all U.S. census tracts (see notes).  These estimates are the result of the collaborative project, “U.S. Small-area Life Expectancy Estimates Project (USALEEP),” between the National Center for Health Statistics (NCHS), the National Association for Public Health Statistics and Information Systems (NAPHSIS), and the Robert Wood Johnson Foundation (RWJF) (2).",,"{'name': 'U.S. Life Expectancy at Birth by State and Census Tract - 2010-2015', 'id': '5h56-n989', 'description': 'This dataset includes estimates of U.S. life expectancy at birth by state and census tract for the period 2010-2015 (1). Estimates were produced for 65,662 census tracts, covering the District of Columbia (D.C.) and all states, excluding Maine and Wisconsin, representing 88.7% of all U.S. census tracts (see notes).  These estimates are the result of the collaborative project, “U.S. Small-area Life Expectancy Estimates Project (USALEEP),” between the National Center for Health Statistics (NCHS), the National Association for Public Health Statistics and Information Systems (NAPHSIS), and the Robert Wood Johnson Foundation (RWJF) (2).', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/U-S-Life-Expectancy-at-Birth-by-State-and-Census-T/5h56-n989'}"
"U.S. State Life Expectancy by Sex, 2018",a5a8-jsrq,a5a8-jsrq_1736726771.392528_U.S._State_Life_Expectancy_by_Sex__2018_20250113.csv.gz,2025-01-13 00:06:11 UTC,https://data.cdc.gov/NCHS/U-S-State-Life-Expectancy-by-Sex-2018/a5a8-jsrq,"The dataset presents life expectancy at birth estimates based on annual complete period life tables for each of the 50 states and the District of Columbia (D.C.)
in 2018 for the total, male and female populations.",,"{'name': 'U.S. State Life Expectancy by Sex, 2018', 'id': 'a5a8-jsrq', 'description': 'The dataset presents life expectancy at birth estimates based on annual complete period life tables for each of the 50 states and the District of Columbia (D.C.)\nin 2018 for the total, male and female populations.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/U-S-State-Life-Expectancy-by-Sex-2018/a5a8-jsrq'}"
"U.S. State Life Expectancy by Sex, 2019",ncvk-7amm,ncvk-7amm_1736726980.636777_U.S._State_Life_Expectancy_by_Sex__2019_20250113.csv.gz,2025-01-13 00:09:40 UTC,https://data.cdc.gov/NCHS/U-S-State-Life-Expectancy-by-Sex-2019/ncvk-7amm,"The dataset presents life expectancy at birth estimates based on annual complete period life tables for each of the 50 states and the District of Columbia (D.C.)
in 2019 for the total, male and female populations.",,"{'name': 'U.S. State Life Expectancy by Sex, 2019', 'id': 'ncvk-7amm', 'description': 'The dataset presents life expectancy at birth estimates based on annual complete period life tables for each of the 50 states and the District of Columbia (D.C.)\nin 2019 for the total, male and female populations.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/U-S-State-Life-Expectancy-by-Sex-2019/ncvk-7amm'}"
"U.S. State Life Expectancy by Sex, 2020",ss2j-8ajj,ss2j-8ajj_1736723722.527095_U.S._State_Life_Expectancy_by_Sex__2020_20250112.csv.gz,2025-01-12 23:15:22 UTC,https://data.cdc.gov/NCHS/U-S-State-Life-Expectancy-by-Sex-2020/ss2j-8ajj,"The dataset presents life expectancy at birth estimates based on annual complete period life tables for each of the 50 states and the District of Columbia (D.C.)
in 2020 for the total, male and female populations.",,"{'name': 'U.S. State Life Expectancy by Sex, 2020', 'id': 'ss2j-8ajj', 'description': 'The dataset presents life expectancy at birth estimates based on annual complete period life tables for each of the 50 states and the District of Columbia (D.C.)\nin 2020 for the total, male and female populations.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/U-S-State-Life-Expectancy-by-Sex-2020/ss2j-8ajj'}"
"U.S. State Life Expectancy by Sex, 2021",it4f-frdc,it4f-frdc_1736739005.880004_U.S._State_Life_Expectancy_by_Sex__2021_20250113.csv.gz,2025-01-13 03:30:05 UTC,https://data.cdc.gov/NCHS/U-S-State-Life-Expectancy-by-Sex-2021/it4f-frdc,"The dataset presents life expectancy at birth estimates based on annual complete period life tables for each of the 50 states and the District of Columbia (D.C.)
in 2021 for the total, male and female populations.",,"{'name': 'U.S. State Life Expectancy by Sex, 2021', 'id': 'it4f-frdc', 'description': 'The dataset presents life expectancy at birth estimates based on annual complete period life tables for each of the 50 states and the District of Columbia (D.C.)\nin 2021 for the total, male and female populations.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/U-S-State-Life-Expectancy-by-Sex-2021/it4f-frdc'}"
"U.S. State and Territorial Gathering Bans: March 11, 2020-August 15, 2021 by County by Day",7xvh-y5vh,7xvh-y5vh_1736720593.858709_U.S._State_and_Territorial_Gathering_Bans__March_11__2020-August_15__2021_by_County_by_Day_20250112.csv.gz,2025-01-12 22:23:13 UTC,https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/7xvh-y5vh,"State and territorial executive orders, administrative orders, resolutions, proclamations, and other official publicly available government communications are collected from government websites and cataloged and coded using Microsoft Excel by one or more coders with one or more additional coders conducting quality assurance.

Data were collected to determine when individuals in states and territories were subject to executive orders, administrative orders, resolutions, proclamations, and other official publicly available government communications related to  COVID-19 banning gatherings of various sizes either (1) generally, or specified that the gathering limit applied only when social distancing was not possible, or (2) even if participants practiced social distancing.

These data are derived from on the publicly available state and territorial executive orders, administrative orders, resolutions, and proclamations (“orders”) for COVID-19 that expressly ban gatherings found by the CDC, COVID-19 Community Intervention and Critical Populations Task Force, Monitoring and Evaluation Team & CDC, Center for State, Tribal, Local, and Territorial Support, Public Health Law Program from March 11, 2020 through August 15, 2021. These data will be updated as new orders are collected. Any orders not available through publicly accessible websites are not included in these data. Only official copies of the documents or, where official copies were unavailable, official press releases from government websites describing requirements were coded, as well as official government communications such as announcements that counties have progressed through new phases of reopening pursuant to an executive order, directive, or other executive branch action, and posted to government websites; news media reports on restrictions were excluded. Recommendations and guidance documents not included or adopted by reference in an order are not included in these data. These data do not include mandatory business closures, curfews, or requirements/recommendations for people to stay in their homes. Due to limitations of the National Environmental Public Health Tracking Network Data Explorer, these data do not include tribes or cities, nor was a distinction made between county orders that applied county-wide versus those that were limited to unincorporated areas of the county. Effective and expiration dates were coded using only the date provided; no distinction was made based on the specific time of the day the order became effective or expired. These data do not necessarily represent an official position of the Centers for Disease Control and Prevention.","<https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/7xvh-y5vh>; rel=""original"",
<http://web.archive.org/web/timemap/link/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/7xvh-y5vh>; rel=""self""; type=""application/link-format""; from=""Wed, 10 Mar 2021 11:41:09 GMT"",
<http://web.archive.org/web/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/7xvh-y5vh>; rel=""timegate"",
<http://web.archive.org/web/20210310114109/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/7xvh-y5vh>; rel=""first memento""; datetime=""Wed, 10 Mar 2021 11:41:09 GMT"",
<http://web.archive.org/web/20210318221359/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/7xvh-y5vh>; rel=""memento""; datetime=""Thu, 18 Mar 2021 22:13:59 GMT"",
<http://web.archive.org/web/20210320005157/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/7xvh-y5vh>; rel=""memento""; datetime=""Sat, 20 Mar 2021 00:51:57 GMT"",
<http://web.archive.org/web/20210423132336/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/7xvh-y5vh>; rel=""memento""; datetime=""Fri, 23 Apr 2021 13:23:36 GMT"",
<http://web.archive.org/web/20210508082045/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/7xvh-y5vh>; rel=""memento""; datetime=""Sat, 08 May 2021 08:20:45 GMT"",
<http://web.archive.org/web/20210508082047/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/7xvh-y5vh>; rel=""memento""; datetime=""Sat, 08 May 2021 08:20:47 GMT"",
<http://web.archive.org/web/20210720105728/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/7xvh-y5vh>; rel=""memento""; datetime=""Tue, 20 Jul 2021 10:57:28 GMT"",
<http://web.archive.org/web/20210720105730/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/7xvh-y5vh>; rel=""memento""; datetime=""Tue, 20 Jul 2021 10:57:30 GMT"",
<http://web.archive.org/web/20210922133938/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/7xvh-y5vh>; rel=""memento""; datetime=""Wed, 22 Sep 2021 13:39:38 GMT"",
<http://web.archive.org/web/20211124194741/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/7xvh-y5vh>; rel=""memento""; datetime=""Wed, 24 Nov 2021 19:47:41 GMT"",
<http://web.archive.org/web/20220123234422/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/7xvh-y5vh>; rel=""memento""; datetime=""Sun, 23 Jan 2022 23:44:22 GMT"",
<http://web.archive.org/web/20220125185737/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/7xvh-y5vh>; rel=""memento""; datetime=""Tue, 25 Jan 2022 18:57:37 GMT"",
<http://web.archive.org/web/20220705211120/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/7xvh-y5vh>; rel=""memento""; datetime=""Tue, 05 Jul 2022 21:11:20 GMT"",
<http://web.archive.org/web/20220907055829/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/7xvh-y5vh/>; rel=""memento""; datetime=""Wed, 07 Sep 2022 05:58:29 GMT"",
<http://web.archive.org/web/20221130030211/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/7xvh-y5vh>; rel=""memento""; datetime=""Wed, 30 Nov 2022 03:02:11 GMT"",
<http://web.archive.org/web/20230102231708/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/7xvh-y5vh>; rel=""memento""; datetime=""Mon, 02 Jan 2023 23:17:08 GMT"",
<http://web.archive.org/web/20230924193518/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/7xvh-y5vh>; rel=""memento""; datetime=""Sun, 24 Sep 2023 19:35:18 GMT"",
<http://web.archive.org/web/20240226201051/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/7xvh-y5vh>; rel=""memento""; datetime=""Mon, 26 Feb 2024 20:10:51 GMT"",
<http://web.archive.org/web/20240606190354/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/7xvh-y5vh/>; rel=""memento""; datetime=""Thu, 06 Jun 2024 19:03:54 GMT"",
<http://web.archive.org/web/20240721002258/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/7xvh-y5vh>; rel=""memento""; datetime=""Sun, 21 Jul 2024 00:22:58 GMT"",
<http://web.archive.org/web/20241002102147/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/7xvh-y5vh>; rel=""memento""; datetime=""Wed, 02 Oct 2024 10:21:47 GMT"",
<http://web.archive.org/web/20241111161555/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/7xvh-y5vh>; rel=""memento""; datetime=""Mon, 11 Nov 2024 16:15:55 GMT"",
<http://web.archive.org/web/20241125050608/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/7xvh-y5vh>; rel=""memento""; datetime=""Mon, 25 Nov 2024 05:06:08 GMT"",
<http://web.archive.org/web/20241126161446/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/7xvh-y5vh>; rel=""memento""; datetime=""Tue, 26 Nov 2024 16:14:46 GMT"",
<http://web.archive.org/web/20241126192648/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/7xvh-y5vh>; rel=""memento""; datetime=""Tue, 26 Nov 2024 19:26:48 GMT"",
<http://web.archive.org/web/20241204163950/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/7xvh-y5vh>; rel=""memento""; datetime=""Wed, 04 Dec 2024 16:39:50 GMT"",
<http://web.archive.org/web/20250201011759/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/7xvh-y5vh>; rel=""memento""; datetime=""Sat, 01 Feb 2025 01:17:59 GMT"",
<http://web.archive.org/web/20250201021544/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/7xvh-y5vh>; rel=""memento""; datetime=""Sat, 01 Feb 2025 02:15:44 GMT"",
<http://web.archive.org/web/20250201215902/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/7xvh-y5vh>; rel=""memento""; datetime=""Sat, 01 Feb 2025 21:59:02 GMT"",
<http://web.archive.org/web/20250202082713/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/7xvh-y5vh>; rel=""memento""; datetime=""Sun, 02 Feb 2025 08:27:13 GMT"",
<http://web.archive.org/web/20250205125230/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/7xvh-y5vh>; rel=""memento""; datetime=""Wed, 05 Feb 2025 12:52:30 GMT"",
<http://web.archive.org/web/20250205160404/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/7xvh-y5vh>; rel=""memento""; datetime=""Wed, 05 Feb 2025 16:04:04 GMT"",
<http://web.archive.org/web/20250211221817/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/7xvh-y5vh>; rel=""memento""; datetime=""Tue, 11 Feb 2025 22:18:17 GMT"",
<http://web.archive.org/web/20250211221820/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/7xvh-y5vh/>; rel=""memento""; datetime=""Tue, 11 Feb 2025 22:18:20 GMT"",
<http://web.archive.org/web/20250211221841/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/7xvh-y5vh>; rel=""memento""; datetime=""Tue, 11 Feb 2025 22:18:41 GMT"",
<http://web.archive.org/web/20250212074927/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/7xvh-y5vh>; rel=""memento""; datetime=""Wed, 12 Feb 2025 07:49:27 GMT""
","{'name': 'U.S. State and Territorial Gathering Bans: March 11, 2020-August 15, 2021 by County by Day', 'id': '7xvh-y5vh', 'description': 'State and territorial executive orders, administrative orders, resolutions, proclamations, and other official publicly available government communications are collected from government websites and cataloged and coded using Microsoft Excel by one or more coders with one or more additional coders conducting quality assurance.\n\nData were collected to determine when individuals in states and territories were subject to executive orders, administrative orders, resolutions, proclamations, and other official publicly available government communications related to  COVID-19 banning gatherings of various sizes either (1) generally, or specified that the gathering limit applied only when social distancing was not possible, or (2) even if participants practiced social distancing.\n\nThese data are derived from on the publicly available state and territorial executive orders, administrative orders, resolutions, and proclamations (“orders”) for COVID-19 that expressly ban gatherings found by the CDC, COVID-19 Community Intervention and Critical Populations Task Force, Monitoring and Evaluation Team & CDC, Center for State, Tribal, Local, and Territorial Support, Public Health Law Program from March 11, 2020 through August 15, 2021. These data will be updated as new orders are collected. Any orders not available through publicly accessible websites are not included in these data. Only official copies of the documents or, where official copies were unavailable, official press releases from government websites describing requirements were coded, as well as official government communications such as announcements that counties have progressed through new phases of reopening pursuant to an executive order, directive, or other executive branch action, and posted to government websites; news media reports on restrictions were excluded. Recommendations and guidance documents not included or adopted by reference in an order are not included in these data. These data do not include mandatory business closures, curfews, or requirements/recommendations for people to stay in their homes. Due to limitations of the National Environmental Public Health Tracking Network Data Explorer, these data do not include tribes or cities, nor was a distinction made between county orders that applied county-wide versus those that were limited to unincorporated areas of the county. Effective and expiration dates were coded using only the date provided; no distinction was made based on the specific time of the day the order became effective or expired. These data do not necessarily represent an official position of the Centers for Disease Control and Prevention.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/7xvh-y5vh'}"
"U.S. State and Territorial Gathering Bans: March 11, 2020-May 31, 2021 by County by Day",3qs9-qnbs,3qs9-qnbs_1736734748.958233_U.S._State_and_Territorial_Gathering_Bans__March_11__2020-May_31__2021_by_County_by_Day_20250113.csv.gz,2025-01-13 02:19:08 UTC,https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/3qs9-qnbs,"State and territorial executive orders, administrative orders, resolutions, proclamations, and other official publicly available government communications are collected from government websites and cataloged and coded using Microsoft Excel by one or more coders with one or more additional coders conducting quality assurance.

Data were collected to determine when individuals in states and territories were subject to executive orders, administrative orders, resolutions, proclamations, and other official publicly available government communications related to  COVID-19 banning gatherings of various sizes either (1) generally, or specified that the gathering limit applied only when social distancing was not possible, or (2) even if participants practiced social distancing.

These data are derived from on the publicly available state and territorial executive orders, administrative orders, resolutions, and proclamations (“orders”) for COVID-19 that expressly ban gatherings found by the CDC, COVID-19 Community Intervention and Critical Populations Task Force, Monitoring and Evaluation Team & CDC, Center for State, Tribal, Local, and Territorial Support, Public Health Law Program from March 11, 2020 through May 31, 2021. These data will be updated as new orders are collected. Any orders not available through publicly accessible websites are not included in these data. Only official copies of the documents or, where official copies were unavailable, official press releases from government websites describing requirements were coded, as well as official government communications such as announcements that counties have progressed through new phases of reopening pursuant to an executive order, directive, or other executive branch action, and posted to government websites; news media reports on restrictions were excluded. Recommendations and guidance documents not included or adopted by reference in an order are not included in these data. These data do not include mandatory business closures, curfews, or requirements/recommendations for people to stay in their homes. Due to limitations of the National Environmental Public Health Tracking Network Data Explorer, these data do not include tribes or cities, nor was a distinction made between county orders that applied county-wide versus those that were limited to unincorporated areas of the county. Effective and expiration dates were coded using only the date provided; no distinction was made based on the specific time of the day the order became effective or expired. These data do not necessarily represent an official position of the Centers for Disease Control and Prevention.","<https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/3qs9-qnbs>; rel=""original"",
<http://web.archive.org/web/timemap/link/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/3qs9-qnbs>; rel=""self""; type=""application/link-format""; from=""Thu, 25 Aug 2022 10:25:22 GMT"",
<http://web.archive.org/web/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/3qs9-qnbs>; rel=""timegate"",
<http://web.archive.org/web/20220825102522/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/3qs9-qnbs>; rel=""first memento""; datetime=""Thu, 25 Aug 2022 10:25:22 GMT"",
<http://web.archive.org/web/20241004200731/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/3qs9-qnbs>; rel=""memento""; datetime=""Fri, 04 Oct 2024 20:07:31 GMT"",
<http://web.archive.org/web/20241125050539/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/3qs9-qnbs>; rel=""memento""; datetime=""Mon, 25 Nov 2024 05:05:39 GMT"",
<http://web.archive.org/web/20241126161548/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/3qs9-qnbs>; rel=""memento""; datetime=""Tue, 26 Nov 2024 16:15:48 GMT"",
<http://web.archive.org/web/20250117211227/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/3qs9-qnbs>; rel=""memento""; datetime=""Fri, 17 Jan 2025 21:12:27 GMT"",
<http://web.archive.org/web/20250201021806/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/3qs9-qnbs>; rel=""memento""; datetime=""Sat, 01 Feb 2025 02:18:06 GMT"",
<http://web.archive.org/web/20250201211832/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/3qs9-qnbs>; rel=""memento""; datetime=""Sat, 01 Feb 2025 21:18:32 GMT"",
<http://web.archive.org/web/20250202111259/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/3qs9-qnbs>; rel=""memento""; datetime=""Sun, 02 Feb 2025 11:12:59 GMT"",
<http://web.archive.org/web/20250203214536/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/3qs9-qnbs>; rel=""memento""; datetime=""Mon, 03 Feb 2025 21:45:36 GMT"",
<http://web.archive.org/web/20250204151656/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/3qs9-qnbs>; rel=""memento""; datetime=""Tue, 04 Feb 2025 15:16:56 GMT"",
<http://web.archive.org/web/20250210143634/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/3qs9-qnbs>; rel=""memento""; datetime=""Mon, 10 Feb 2025 14:36:34 GMT"",
<http://web.archive.org/web/20250210143639/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/3qs9-qnbs>; rel=""memento""; datetime=""Mon, 10 Feb 2025 14:36:39 GMT"",
<http://web.archive.org/web/20250210143643/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/3qs9-qnbs/>; rel=""memento""; datetime=""Mon, 10 Feb 2025 14:36:43 GMT""
","{'name': 'U.S. State and Territorial Gathering Bans: March 11, 2020-May 31, 2021 by County by Day', 'id': '3qs9-qnbs', 'description': 'State and territorial executive orders, administrative orders, resolutions, proclamations, and other official publicly available government communications are collected from government websites and cataloged and coded using Microsoft Excel by one or more coders with one or more additional coders conducting quality assurance.\n\nData were collected to determine when individuals in states and territories were subject to executive orders, administrative orders, resolutions, proclamations, and other official publicly available government communications related to  COVID-19 banning gatherings of various sizes either (1) generally, or specified that the gathering limit applied only when social distancing was not possible, or (2) even if participants practiced social distancing.\n\nThese data are derived from on the publicly available state and territorial executive orders, administrative orders, resolutions, and proclamations (“orders”) for COVID-19 that expressly ban gatherings found by the CDC, COVID-19 Community Intervention and Critical Populations Task Force, Monitoring and Evaluation Team & CDC, Center for State, Tribal, Local, and Territorial Support, Public Health Law Program from March 11, 2020 through May 31, 2021. These data will be updated as new orders are collected. Any orders not available through publicly accessible websites are not included in these data. Only official copies of the documents or, where official copies were unavailable, official press releases from government websites describing requirements were coded, as well as official government communications such as announcements that counties have progressed through new phases of reopening pursuant to an executive order, directive, or other executive branch action, and posted to government websites; news media reports on restrictions were excluded. Recommendations and guidance documents not included or adopted by reference in an order are not included in these data. These data do not include mandatory business closures, curfews, or requirements/recommendations for people to stay in their homes. Due to limitations of the National Environmental Public Health Tracking Network Data Explorer, these data do not include tribes or cities, nor was a distinction made between county orders that applied county-wide versus those that were limited to unincorporated areas of the county. Effective and expiration dates were coded using only the date provided; no distinction was made based on the specific time of the day the order became effective or expired. These data do not necessarily represent an official position of the Centers for Disease Control and Prevention.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Gathering-Bans-March-11-/3qs9-qnbs'}"
"U.S. State and Territorial Orders Closing and Reopening Bars Issued from March 11, 2020 through August 15, 2021 by County by Day",9kjw-3miq,9kjw-3miq_1736719208.002251_U.S._State_and_Territorial_Orders_Closing_and_Reopening_Bars_Issued_from_March_11__2020_through_August_15__2021_by_County_by_Day_20250112.csv.gz,2025-01-12 22:00:08 UTC,https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Orders-Closing-and-Reope/9kjw-3miq,"State and territorial executive orders, administrative orders, resolutions, and proclamations are collected from government websites and cataloged and coded using Microsoft Excel by one coder with one or more additional coders conducting quality assurance.

Data were collected to determine when bars in states and territories were subject to closing and reopening requirements through executive orders, administrative orders, resolutions, and proclamations for COVID-19. Data can be used to determine when bars in states and territories were subject to closing and reopening requirements through executive orders, administrative orders, resolutions, and proclamations for COVID-19. Data consists exclusively of state and territorial orders, many of which apply to specific counties within their respective state or territory; therefore, data is broken down to the county level.

These data are derived from publicly available state and territorial executive orders, administrative orders, resolutions, and proclamations (“orders”) for COVID-19 that expressly close or reopen bars found by the CDC, COVID-19 Community Intervention & Critical Populations Task Force, Monitoring & Evaluation Team, Mitigation Policy Analysis Unit, and the CDC, Center for State, Tribal, Local, and Territorial Support, Public Health Law Program from March 11, 2020 through August 15, 2021.  These data will be updated as new orders are collected. Any orders not available through publicly accessible websites are not included in these data. Only official copies of the documents or, where official copies were unavailable, official press releases from government websites describing requirements were coded; news media reports on restrictions were excluded. Recommendations not included in an order are not included in these data. Effective and expiration dates were coded using only the date provided; no distinction was made based on the specific time of the day the order became effective or expired. These data do not necessarily represent an official position of the Centers for Disease Control and Prevention.",,"{'name': 'U.S. State and Territorial Orders Closing and Reopening Bars Issued from March 11, 2020 through August 15, 2021 by County by Day', 'id': '9kjw-3miq', 'description': 'State and territorial executive orders, administrative orders, resolutions, and proclamations are collected from government websites and cataloged and coded using Microsoft Excel by one coder with one or more additional coders conducting quality assurance.\n\nData were collected to determine when bars in states and territories were subject to closing and reopening requirements through executive orders, administrative orders, resolutions, and proclamations for COVID-19. Data can be used to determine when bars in states and territories were subject to closing and reopening requirements through executive orders, administrative orders, resolutions, and proclamations for COVID-19. Data consists exclusively of state and territorial orders, many of which apply to specific counties within their respective state or territory; therefore, data is broken down to the county level.\n\nThese data are derived from publicly available state and territorial executive orders, administrative orders, resolutions, and proclamations (“orders”) for COVID-19 that expressly close or reopen bars found by the CDC, COVID-19 Community Intervention & Critical Populations Task Force, Monitoring & Evaluation Team, Mitigation Policy Analysis Unit, and the CDC, Center for State, Tribal, Local, and Territorial Support, Public Health Law Program from March 11, 2020 through August 15, 2021.  These data will be updated as new orders are collected. Any orders not available through publicly accessible websites are not included in these data. Only official copies of the documents or, where official copies were unavailable, official press releases from government websites describing requirements were coded; news media reports on restrictions were excluded. Recommendations not included in an order are not included in these data. Effective and expiration dates were coded using only the date provided; no distinction was made based on the specific time of the day the order became effective or expired. These data do not necessarily represent an official position of the Centers for Disease Control and Prevention.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Orders-Closing-and-Reope/9kjw-3miq'}"
"U.S. State and Territorial Orders Closing and Reopening Bars Issued from March 11, 2020 through May 31, 2021 by County by Day",kp49-9dp8,kp49-9dp8_1736735265.340400_U.S._State_and_Territorial_Orders_Closing_and_Reopening_Bars_Issued_from_March_11__2020_through_May_31__2021_by_County_by_Day_20250113.csv.gz,2025-01-13 02:27:45 UTC,https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Orders-Closing-and-Reope/kp49-9dp8,"State and territorial executive orders, administrative orders, resolutions, and proclamations are collected from government websites and cataloged and coded using Microsoft Excel by one coder with one or more additional coders conducting quality assurance.

Data were collected to determine when bars in states and territories were subject to closing and reopening requirements through executive orders, administrative orders, resolutions, and proclamations for COVID-19. Data can be used to determine when bars in states and territories were subject to closing and reopening requirements through executive orders, administrative orders, resolutions, and proclamations for COVID-19. Data consists exclusively of state and territorial orders, many of which apply to specific counties within their respective state or territory; therefore, data is broken down to the county level.

These data are derived from publicly available state and territorial executive orders, administrative orders, resolutions, and proclamations (“orders”) for COVID-19 that expressly close or reopen bars found by the CDC, COVID-19 Community Intervention & Critical Populations Task Force, Monitoring & Evaluation Team, Mitigation Policy Analysis Unit, and the CDC, Center for State, Tribal, Local, and Territorial Support, Public Health Law Program from March 11, 2020 through May 31, 2021.  These data will be updated as new orders are collected. Any orders not available through publicly accessible websites are not included in these data. Only official copies of the documents or, where official copies were unavailable, official press releases from government websites describing requirements were coded; news media reports on restrictions were excluded. Recommendations not included in an order are not included in these data. Effective and expiration dates were coded using only the date provided; no distinction was made based on the specific time of the day the order became effective or expired. These data do not necessarily represent an official position of the Centers for Disease Control and Prevention.",,"{'name': 'U.S. State and Territorial Orders Closing and Reopening Bars Issued from March 11, 2020 through May 31, 2021 by County by Day', 'id': 'kp49-9dp8', 'description': 'State and territorial executive orders, administrative orders, resolutions, and proclamations are collected from government websites and cataloged and coded using Microsoft Excel by one coder with one or more additional coders conducting quality assurance.\n\nData were collected to determine when bars in states and territories were subject to closing and reopening requirements through executive orders, administrative orders, resolutions, and proclamations for COVID-19. Data can be used to determine when bars in states and territories were subject to closing and reopening requirements through executive orders, administrative orders, resolutions, and proclamations for COVID-19. Data consists exclusively of state and territorial orders, many of which apply to specific counties within their respective state or territory; therefore, data is broken down to the county level.\n\nThese data are derived from publicly available state and territorial executive orders, administrative orders, resolutions, and proclamations (“orders”) for COVID-19 that expressly close or reopen bars found by the CDC, COVID-19 Community Intervention & Critical Populations Task Force, Monitoring & Evaluation Team, Mitigation Policy Analysis Unit, and the CDC, Center for State, Tribal, Local, and Territorial Support, Public Health Law Program from March 11, 2020 through May 31, 2021.  These data will be updated as new orders are collected. Any orders not available through publicly accessible websites are not included in these data. Only official copies of the documents or, where official copies were unavailable, official press releases from government websites describing requirements were coded; news media reports on restrictions were excluded. Recommendations not included in an order are not included in these data. Effective and expiration dates were coded using only the date provided; no distinction was made based on the specific time of the day the order became effective or expired. These data do not necessarily represent an official position of the Centers for Disease Control and Prevention.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Orders-Closing-and-Reope/kp49-9dp8'}"
"U.S. State and Territorial Orders Closing and Reopening Restaurants Issued from March 11, 2020 through August 15, 2021 by County by Day",azmd-939x,azmd-939x_1736720693.191486_U.S._State_and_Territorial_Orders_Closing_and_Reopening_Restaurants_Issued_from_March_11__2020_through_August_15__2021_by_County_by_Day_20250112.csv.gz,2025-01-12 22:24:53 UTC,https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Orders-Closing-and-Reope/azmd-939x,"State and territorial executive orders, administrative orders, resolutions, and proclamations are collected from government websites and cataloged and coded using Microsoft Excel by one coder with one or more additional coders conducting quality assurance.

Data were collected to determine when restaurants in states and territories were subject to closing and reopening requirements through executive orders, administrative orders, resolutions, and proclamations for COVID-19. Data can be used to determine when restaurants in states and territories were subject to closing and reopening requirements through executive orders, administrative orders, resolutions, and proclamations for COVID-19. Data consists exclusively of state and territorial orders, many of which apply to specific counties within their respective state or territory; therefore, data is broken down to the county level.

These data are derived from publicly available state and territorial executive orders, administrative orders, resolutions, and proclamations (“orders”) for COVID-19 that expressly close or reopen restaurants found by the CDC, COVID-19 Community Intervention & Critical Populations Task Force, Monitoring & Evaluation Team, Mitigation Policy Analysis Unit, and the CDC, Center for State, Tribal, Local, and Territorial Support, Public Health Law Program from March 11, 2020 through August 15, 2021.  These data will be updated as new orders are collected. Any orders not available through publicly accessible websites are not included in these data. Only official copies of the documents or, where official copies were unavailable, official press releases from government websites describing requirements were coded; news media reports on restrictions were excluded. Recommendations not included in an order are not included in these data. Effective and expiration dates were coded using only the date provided; no distinction was made based on the specific time of the day the order became effective or expired. These data do not necessarily represent an official position of the Centers for Disease Control and Prevention.",,"{'name': 'U.S. State and Territorial Orders Closing and Reopening Restaurants Issued from March 11, 2020 through August 15, 2021 by County by Day', 'id': 'azmd-939x', 'description': 'State and territorial executive orders, administrative orders, resolutions, and proclamations are collected from government websites and cataloged and coded using Microsoft Excel by one coder with one or more additional coders conducting quality assurance.\n\nData were collected to determine when restaurants in states and territories were subject to closing and reopening requirements through executive orders, administrative orders, resolutions, and proclamations for COVID-19. Data can be used to determine when restaurants in states and territories were subject to closing and reopening requirements through executive orders, administrative orders, resolutions, and proclamations for COVID-19. Data consists exclusively of state and territorial orders, many of which apply to specific counties within their respective state or territory; therefore, data is broken down to the county level.\n\nThese data are derived from publicly available state and territorial executive orders, administrative orders, resolutions, and proclamations (“orders”) for COVID-19 that expressly close or reopen restaurants found by the CDC, COVID-19 Community Intervention & Critical Populations Task Force, Monitoring & Evaluation Team, Mitigation Policy Analysis Unit, and the CDC, Center for State, Tribal, Local, and Territorial Support, Public Health Law Program from March 11, 2020 through August 15, 2021.  These data will be updated as new orders are collected. Any orders not available through publicly accessible websites are not included in these data. Only official copies of the documents or, where official copies were unavailable, official press releases from government websites describing requirements were coded; news media reports on restrictions were excluded. Recommendations not included in an order are not included in these data. Effective and expiration dates were coded using only the date provided; no distinction was made based on the specific time of the day the order became effective or expired. These data do not necessarily represent an official position of the Centers for Disease Control and Prevention.', 'datatype': 'tabular', 'keywords': ['economy', 'health', 'infrastructure', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Orders-Closing-and-Reope/azmd-939x'}"
"U.S. State and Territorial Orders Closing and Reopening Restaurants Issued from March 11, 2020 through May 31, 2021 by County by Day",647a-wjd2,647a-wjd2_1736735349.122780_U.S._State_and_Territorial_Orders_Closing_and_Reopening_Restaurants_Issued_from_March_11__2020_through_May_31__2021_by_County_by_Day_20250113.csv.gz,2025-01-13 02:29:09 UTC,https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Orders-Closing-and-Reope/647a-wjd2,"State and territorial executive orders, administrative orders, resolutions, and proclamations are collected from government websites and cataloged and coded using Microsoft Excel by one coder with one or more additional coders conducting quality assurance.

Data were collected to determine when restaurants in states and territories were subject to closing and reopening requirements through executive orders, administrative orders, resolutions, and proclamations for COVID-19. Data can be used to determine when restaurants in states and territories were subject to closing and reopening requirements through executive orders, administrative orders, resolutions, and proclamations for COVID-19. Data consists exclusively of state and territorial orders, many of which apply to specific counties within their respective state or territory; therefore, data is broken down to the county level.

These data are derived from publicly available state and territorial executive orders, administrative orders, resolutions, and proclamations (“orders”) for COVID-19 that expressly close or reopen restaurants found by the CDC, COVID-19 Community Intervention & Critical Populations Task Force, Monitoring & Evaluation Team, Mitigation Policy Analysis Unit, and the CDC, Center for State, Tribal, Local, and Territorial Support, Public Health Law Program from March 11, 2020 through May 31, 2021.  These data will be updated as new orders are collected. Any orders not available through publicly accessible websites are not included in these data. Only official copies of the documents or, where official copies were unavailable, official press releases from government websites describing requirements were coded; news media reports on restrictions were excluded. Recommendations not included in an order are not included in these data. Effective and expiration dates were coded using only the date provided; no distinction was made based on the specific time of the day the order became effective or expired. These data do not necessarily represent an official position of the Centers for Disease Control and Prevention.",,"{'name': 'U.S. State and Territorial Orders Closing and Reopening Restaurants Issued from March 11, 2020 through May 31, 2021 by County by Day', 'id': '647a-wjd2', 'description': 'State and territorial executive orders, administrative orders, resolutions, and proclamations are collected from government websites and cataloged and coded using Microsoft Excel by one coder with one or more additional coders conducting quality assurance.\n\nData were collected to determine when restaurants in states and territories were subject to closing and reopening requirements through executive orders, administrative orders, resolutions, and proclamations for COVID-19. Data can be used to determine when restaurants in states and territories were subject to closing and reopening requirements through executive orders, administrative orders, resolutions, and proclamations for COVID-19. Data consists exclusively of state and territorial orders, many of which apply to specific counties within their respective state or territory; therefore, data is broken down to the county level.\n\nThese data are derived from publicly available state and territorial executive orders, administrative orders, resolutions, and proclamations (“orders”) for COVID-19 that expressly close or reopen restaurants found by the CDC, COVID-19 Community Intervention & Critical Populations Task Force, Monitoring & Evaluation Team, Mitigation Policy Analysis Unit, and the CDC, Center for State, Tribal, Local, and Territorial Support, Public Health Law Program from March 11, 2020 through May 31, 2021.  These data will be updated as new orders are collected. Any orders not available through publicly accessible websites are not included in these data. Only official copies of the documents or, where official copies were unavailable, official press releases from government websites describing requirements were coded; news media reports on restrictions were excluded. Recommendations not included in an order are not included in these data. Effective and expiration dates were coded using only the date provided; no distinction was made based on the specific time of the day the order became effective or expired. These data do not necessarily represent an official position of the Centers for Disease Control and Prevention.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Orders-Closing-and-Reope/647a-wjd2'}"
"U.S. State and Territorial Public Mask Mandates From April 10, 2020 through August 15, 2021 by County by Day",62d6-pm5i,62d6-pm5i_1736712144.633844_U.S._State_and_Territorial_Public_Mask_Mandates_From_April_10__2020_through_August_15__2021_by_County_by_Day_20250112.csv.gz,2025-01-12 20:02:24 UTC,https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Public-Mask-Mandates-Fro/62d6-pm5i,"State and territorial executive orders, administrative orders, resolutions, and proclamations are collected from government websites and cataloged and coded using Microsoft Excel by one coder with one or more additional coders conducting quality assurance.

Data were collected to determine when members of the public in states and territories were subject to state and territorial executive orders, administrative orders, resolutions, and proclamations for COVID-19 that require them to wear masks in public. “Members of the public” are defined as individuals operating in a personal capacity. “In public” is defined to mean either (1) anywhere outside the home or (2) both in retail businesses and in restaurants/food establishments. Data consists exclusively of state and territorial orders, many of which apply to specific counties within their respective state or territory; therefore, data is broken down to the county level. 

These data are derived from publicly available state and territorial executive orders, administrative orders, resolutions, and proclamations (“orders”) for COVID-19 that expressly require individuals to wear masks in public found by the CDC, COVID-19 Community Intervention & Critical Populations Task Force, Monitoring & Evaluation Team, Mitigation Policy Analysis Unit, Center for State, Tribal, Local, and Territorial Support, Public Health Law Program, and Max Gakh, Assistant Professor, School of Public Health, University of Nevada, Las Vegas from April 10, 2020 through August 15, 2021.  These data will be updated as new orders are collected. Any orders not available through publicly accessible websites are not included in these data. Only official copies of the documents or, where official copies were unavailable, official press releases from government websites describing requirements were coded; news media reports on restrictions were excluded. Recommendations not included in an order are not included in these data. Effective and expiration dates were coded using only the dates provided; no distinction was made based on the specific time of the day the order became effective or expired. These data do not include data on counties that have opted out of their state mask mandate pursuant to state law. These data do not necessarily represent an official position of the Centers for Disease Control and Prevention.",,"{'name': 'U.S. State and Territorial Public Mask Mandates From April 10, 2020 through August 15, 2021 by County by Day', 'id': '62d6-pm5i', 'description': 'State and territorial executive orders, administrative orders, resolutions, and proclamations are collected from government websites and cataloged and coded using Microsoft Excel by one coder with one or more additional coders conducting quality assurance.\n\nData were collected to determine when members of the public in states and territories were subject to state and territorial executive orders, administrative orders, resolutions, and proclamations for COVID-19 that require them to wear masks in public. “Members of the public” are defined as individuals operating in a personal capacity. “In public” is defined to mean either (1) anywhere outside the home or (2) both in retail businesses and in restaurants/food establishments. Data consists exclusively of state and territorial orders, many of which apply to specific counties within their respective state or territory; therefore, data is broken down to the county level. \n\nThese data are derived from publicly available state and territorial executive orders, administrative orders, resolutions, and proclamations (“orders”) for COVID-19 that expressly require individuals to wear masks in public found by the CDC, COVID-19 Community Intervention & Critical Populations Task Force, Monitoring & Evaluation Team, Mitigation Policy Analysis Unit, Center for State, Tribal, Local, and Territorial Support, Public Health Law Program, and Max Gakh, Assistant Professor, School of Public Health, University of Nevada, Las Vegas from April 10, 2020 through August 15, 2021.  These data will be updated as new orders are collected. Any orders not available through publicly accessible websites are not included in these data. Only official copies of the documents or, where official copies were unavailable, official press releases from government websites describing requirements were coded; news media reports on restrictions were excluded. Recommendations not included in an order are not included in these data. Effective and expiration dates were coded using only the dates provided; no distinction was made based on the specific time of the day the order became effective or expired. These data do not include data on counties that have opted out of their state mask mandate pursuant to state law. These data do not necessarily represent an official position of the Centers for Disease Control and Prevention.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Public-Mask-Mandates-Fro/62d6-pm5i'}"
"U.S. State and Territorial Public Mask Mandates From April 10, 2020 through July 20, 2021 by County by Day",42jj-z7fa,42jj-z7fa_1736713876.578063_U.S._State_and_Territorial_Public_Mask_Mandates_From_April_10__2020_through_July_20__2021_by_County_by_Day_20250112.csv.gz,2025-01-12 20:31:16 UTC,https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Public-Mask-Mandates-Fro/42jj-z7fa,"State and territorial executive orders, administrative orders, resolutions, and proclamations are collected from government websites and cataloged and coded using Microsoft Excel by one coder with one or more additional coders conducting quality assurance.

Data were collected to determine when members of the public in states and territories were subject to state and territorial executive orders, administrative orders, resolutions, and proclamations for COVID-19 that require them to wear masks in public. “Members of the public” are defined as individuals operating in a personal capacity. “In public” is defined to mean either (1) anywhere outside the home or (2) both in retail businesses and in restaurants/food establishments. Data consists exclusively of state and territorial orders, many of which apply to specific counties within their respective state or territory; therefore, data is broken down to the county level. 

These data are derived from publicly available state and territorial executive orders, administrative orders, resolutions, and proclamations (“orders”) for COVID-19 that expressly require individuals to wear masks in public found by the CDC, COVID-19 Community Intervention & Critical Populations Task Force, Monitoring & Evaluation Team, Mitigation Policy Analysis Unit, Center for State, Tribal, Local, and Territorial Support, Public Health Law Program, and Max Gakh, Assistant Professor, School of Public Health, University of Nevada, Las Vegas from April 10, 2020 through July 20, 2021.  These data will be updated as new orders are collected. Any orders not available through publicly accessible websites are not included in these data. Only official copies of the documents or, where official copies were unavailable, official press releases from government websites describing requirements were coded; news media reports on restrictions were excluded. Recommendations not included in an order are not included in these data. Effective and expiration dates were coded using only the dates provided; no distinction was made based on the specific time of the day the order became effective or expired. These data do not include data on counties that have opted out of their state mask mandate pursuant to state law. These data do not necessarily represent an official position of the Centers for Disease Control and Prevention.",,"{'name': 'U.S. State and Territorial Public Mask Mandates From April 10, 2020 through July 20, 2021 by County by Day', 'id': '42jj-z7fa', 'description': 'State and territorial executive orders, administrative orders, resolutions, and proclamations are collected from government websites and cataloged and coded using Microsoft Excel by one coder with one or more additional coders conducting quality assurance.\n\nData were collected to determine when members of the public in states and territories were subject to state and territorial executive orders, administrative orders, resolutions, and proclamations for COVID-19 that require them to wear masks in public. “Members of the public” are defined as individuals operating in a personal capacity. “In public” is defined to mean either (1) anywhere outside the home or (2) both in retail businesses and in restaurants/food establishments. Data consists exclusively of state and territorial orders, many of which apply to specific counties within their respective state or territory; therefore, data is broken down to the county level. \n\nThese data are derived from publicly available state and territorial executive orders, administrative orders, resolutions, and proclamations (“orders”) for COVID-19 that expressly require individuals to wear masks in public found by the CDC, COVID-19 Community Intervention & Critical Populations Task Force, Monitoring & Evaluation Team, Mitigation Policy Analysis Unit, Center for State, Tribal, Local, and Territorial Support, Public Health Law Program, and Max Gakh, Assistant Professor, School of Public Health, University of Nevada, Las Vegas from April 10, 2020 through July 20, 2021.  These data will be updated as new orders are collected. Any orders not available through publicly accessible websites are not included in these data. Only official copies of the documents or, where official copies were unavailable, official press releases from government websites describing requirements were coded; news media reports on restrictions were excluded. Recommendations not included in an order are not included in these data. Effective and expiration dates were coded using only the dates provided; no distinction was made based on the specific time of the day the order became effective or expired. These data do not include data on counties that have opted out of their state mask mandate pursuant to state law. These data do not necessarily represent an official position of the Centers for Disease Control and Prevention.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Public-Mask-Mandates-Fro/42jj-z7fa'}"
"U.S. State and Territorial Public Mask Mandates From April 8, 2020 through August 15, 2021 by State by Day",tzyy-aayg,tzyy-aayg_1736722138.128107_U.S._State_and_Territorial_Public_Mask_Mandates_From_April_8__2020_through_August_15__2021_by_State_by_Day_20250112.csv.gz,2025-01-12 22:48:58 UTC,https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Public-Mask-Mandates-Fro/tzyy-aayg,"State and territorial executive orders, administrative orders, resolutions, and proclamations are collected from government websites and cataloged and coded using Microsoft Excel by one coder with one or more additional coders conducting quality assurance.

Data were collected to determine when members of the public in states and territories were subject to state and territorial executive orders, administrative orders, resolutions, and proclamations for COVID-19 that require them to wear masks in public. “Members of the public” are defined as individuals operating in a personal capacity. “In public” is defined to mean either (1) anywhere outside the home or (2) both in retail businesses and in restaurants/food establishments. Data consists exclusively of state and territorial orders.

These data are derived from publicly available state and territorial executive orders, administrative orders, resolutions, and proclamations (“orders”) for COVID-19 that expressly require individuals to wear masks in public found by the CDC, COVID-19 Community Intervention & Critical Populations Task Force, Monitoring & Evaluation Team, Mitigation Policy Analysis Unit, Center for State, Tribal, Local, and Territorial Support, Public Health Law Program, and Max Gakh, Assistant Professor, School of Public Health, University of Nevada, Las Vegas from April 8, 2020 through  August 15, 2021. These data will be updated as new orders are collected. Any orders not available through publicly accessible websites are not included in these data. Only official copies of the documents or, where official copies were unavailable, official press releases from government websites describing requirements were coded; news media reports on restrictions were excluded. Recommendations not included in an order are not included in these data. Effective and expiration dates were coded using only the dates provided; no distinction was made based on the specific time of the day the order became effective or expired. These data do not include data on counties that have opted out of their state mask mandate pursuant to state law. These data do not necessarily represent an official position of the Centers for Disease Control and Prevention.",,"{'name': 'U.S. State and Territorial Public Mask Mandates From April 8, 2020 through August 15, 2021 by State by Day', 'id': 'tzyy-aayg', 'description': 'State and territorial executive orders, administrative orders, resolutions, and proclamations are collected from government websites and cataloged and coded using Microsoft Excel by one coder with one or more additional coders conducting quality assurance.\n\nData were collected to determine when members of the public in states and territories were subject to state and territorial executive orders, administrative orders, resolutions, and proclamations for COVID-19 that require them to wear masks in public. “Members of the public” are defined as individuals operating in a personal capacity. “In public” is defined to mean either (1) anywhere outside the home or (2) both in retail businesses and in restaurants/food establishments. Data consists exclusively of state and territorial orders.\n\nThese data are derived from publicly available state and territorial executive orders, administrative orders, resolutions, and proclamations (“orders”) for COVID-19 that expressly require individuals to wear masks in public found by the CDC, COVID-19 Community Intervention & Critical Populations Task Force, Monitoring & Evaluation Team, Mitigation Policy Analysis Unit, Center for State, Tribal, Local, and Territorial Support, Public Health Law Program, and Max Gakh, Assistant Professor, School of Public Health, University of Nevada, Las Vegas from April 8, 2020 through  August 15, 2021. These data will be updated as new orders are collected. Any orders not available through publicly accessible websites are not included in these data. Only official copies of the documents or, where official copies were unavailable, official press releases from government websites describing requirements were coded; news media reports on restrictions were excluded. Recommendations not included in an order are not included in these data. Effective and expiration dates were coded using only the dates provided; no distinction was made based on the specific time of the day the order became effective or expired. These data do not include data on counties that have opted out of their state mask mandate pursuant to state law. These data do not necessarily represent an official position of the Centers for Disease Control and Prevention.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Public-Mask-Mandates-Fro/tzyy-aayg'}"
"U.S. State and Territorial Stay-At-Home Orders: March 15, 2020 – August 15, 2021 by County by Day",y2iy-8irm,y2iy-8irm_1736714002.830157_U.S._State_and_Territorial_Stay-At-Home_Orders__March_15__2020___August_15__2021_by_County_by_Day_20250112.csv.gz,2025-01-12 20:33:22 UTC,https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Stay-At-Home-Orders-Marc/y2iy-8irm,"State and territorial executive orders, administrative orders, resolutions, and proclamations are collected from government websites and cataloged and coded using Microsoft Excel by one coder with one or more additional coders conducting quality assurance.

Data were collected to determine when individuals in states and territories were subject to executive orders, administrative orders, resolutions, and proclamations for COVID-19 that require or recommend people stay in their homes. Data consists exclusively of state and territorial orders, many of which apply to specific counties within their respective state or territory; therefore, data is broken down to the county level.

These data are derived from the publicly available state and territorial executive orders, administrative orders, resolutions, and proclamations (“orders”) for COVID-19 that expressly require or recommend individuals stay at home found by the CDC, COVID-19 Community Intervention and At-Risk Task Force, Monitoring and Evaluation Team & CDC, Center for State, Tribal, Local, and Territorial Support, Public Health Law Program from March 15, 2020 through August 15, 2021. These data will be updated as new orders are collected. Any orders not available through publicly accessible websites are not included in these data. Only official copies of the documents or, where official copies were unavailable, official press releases from government websites describing requirements were coded; news media reports on restrictions were excluded. Recommendations not included in an order are not included in these data. These data do not include mandatory business closures, curfews, or limitations on public or private gatherings. These data do not necessarily represent an official position of the Centers for Disease Control and Prevention.",,"{'name': 'U.S. State and Territorial Stay-At-Home Orders: March 15, 2020 – August 15, 2021 by County by Day', 'id': 'y2iy-8irm', 'description': 'State and territorial executive orders, administrative orders, resolutions, and proclamations are collected from government websites and cataloged and coded using Microsoft Excel by one coder with one or more additional coders conducting quality assurance.\n\nData were collected to determine when individuals in states and territories were subject to executive orders, administrative orders, resolutions, and proclamations for COVID-19 that require or recommend people stay in their homes. Data consists exclusively of state and territorial orders, many of which apply to specific counties within their respective state or territory; therefore, data is broken down to the county level.\n\nThese data are derived from the publicly available state and territorial executive orders, administrative orders, resolutions, and proclamations (“orders”) for COVID-19 that expressly require or recommend individuals stay at home found by the CDC, COVID-19 Community Intervention and At-Risk Task Force, Monitoring and Evaluation Team & CDC, Center for State, Tribal, Local, and Territorial Support, Public Health Law Program from March 15, 2020 through August 15, 2021. These data will be updated as new orders are collected. Any orders not available through publicly accessible websites are not included in these data. Only official copies of the documents or, where official copies were unavailable, official press releases from government websites describing requirements were coded; news media reports on restrictions were excluded. Recommendations not included in an order are not included in these data. These data do not include mandatory business closures, curfews, or limitations on public or private gatherings. These data do not necessarily represent an official position of the Centers for Disease Control and Prevention.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Stay-At-Home-Orders-Marc/y2iy-8irm'}"
"U.S. State and Territorial Stay-At-Home Orders: March 15, 2020 – May 31, 2021 by County by Day",hm3s-vk7u,hm3s-vk7u_1736734163.467575_U.S._State_and_Territorial_Stay-At-Home_Orders__March_15__2020___May_31__2021_by_County_by_Day_20250113.csv.gz,2025-01-13 02:09:23 UTC,https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Stay-At-Home-Orders-Marc/hm3s-vk7u,"State and territorial executive orders, administrative orders, resolutions, and proclamations are collected from government websites and cataloged and coded using Microsoft Excel by one coder with one or more additional coders conducting quality assurance.

Data were collected to determine when individuals in states and territories were subject to executive orders, administrative orders, resolutions, and proclamations for COVID-19 that require or recommend people stay in their homes. Data consists exclusively of state and territorial orders, many of which apply to specific counties within their respective state or territory; therefore, data is broken down to the county level.

These data are derived from the publicly available state and territorial executive orders, administrative orders, resolutions, and proclamations (“orders”) for COVID-19 that expressly require or recommend individuals stay at home found by the CDC, COVID-19 Community Intervention and At-Risk Task Force, Monitoring and Evaluation Team & CDC, Center for State, Tribal, Local, and Territorial Support, Public Health Law Program from March 15, 2020 through May 31, 2021. These data will be updated as new orders are collected. Any orders not available through publicly accessible websites are not included in these data. Only official copies of the documents or, where official copies were unavailable, official press releases from government websites describing requirements were coded; news media reports on restrictions were excluded. Recommendations not included in an order are not included in these data. These data do not include mandatory business closures, curfews, or limitations on public or private gatherings. These data do not necessarily represent an official position of the Centers for Disease Control and Prevention.","<https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Stay-At-Home-Orders-Marc/hm3s-vk7u>; rel=""original"",
<http://web.archive.org/web/timemap/link/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Stay-At-Home-Orders-Marc/hm3s-vk7u>; rel=""self""; type=""application/link-format""; from=""Thu, 11 Aug 2022 08:04:19 GMT"",
<http://web.archive.org/web/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Stay-At-Home-Orders-Marc/hm3s-vk7u>; rel=""timegate"",
<http://web.archive.org/web/20220811080419/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Stay-At-Home-Orders-Marc/hm3s-vk7u>; rel=""first memento""; datetime=""Thu, 11 Aug 2022 08:04:19 GMT"",
<http://web.archive.org/web/20241125050550/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Stay-At-Home-Orders-Marc/hm3s-vk7u>; rel=""memento""; datetime=""Mon, 25 Nov 2024 05:05:50 GMT"",
<http://web.archive.org/web/20241126103200/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Stay-At-Home-Orders-Marc/hm3s-vk7u>; rel=""memento""; datetime=""Tue, 26 Nov 2024 10:32:00 GMT"",
<http://web.archive.org/web/20250201021550/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Stay-At-Home-Orders-Marc/hm3s-vk7u>; rel=""memento""; datetime=""Sat, 01 Feb 2025 02:15:50 GMT"",
<http://web.archive.org/web/20250201215415/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Stay-At-Home-Orders-Marc/hm3s-vk7u>; rel=""memento""; datetime=""Sat, 01 Feb 2025 21:54:15 GMT"",
<http://web.archive.org/web/20250202085510/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Stay-At-Home-Orders-Marc/hm3s-vk7u>; rel=""memento""; datetime=""Sun, 02 Feb 2025 08:55:10 GMT"",
<http://web.archive.org/web/20250204165515/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Stay-At-Home-Orders-Marc/hm3s-vk7u>; rel=""memento""; datetime=""Tue, 04 Feb 2025 16:55:15 GMT"",
<http://web.archive.org/web/20250207175915/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Stay-At-Home-Orders-Marc/hm3s-vk7u>; rel=""memento""; datetime=""Fri, 07 Feb 2025 17:59:15 GMT"",
<http://web.archive.org/web/20250211174753/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Stay-At-Home-Orders-Marc/hm3s-vk7u/>; rel=""memento""; datetime=""Tue, 11 Feb 2025 17:47:53 GMT"",
<http://web.archive.org/web/20250211175014/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Stay-At-Home-Orders-Marc/hm3s-vk7u>; rel=""memento""; datetime=""Tue, 11 Feb 2025 17:50:14 GMT"",
<http://web.archive.org/web/20250211175017/https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Stay-At-Home-Orders-Marc/hm3s-vk7u>; rel=""memento""; datetime=""Tue, 11 Feb 2025 17:50:17 GMT""
","{'name': 'U.S. State and Territorial Stay-At-Home Orders: March 15, 2020 – May 31, 2021 by County by Day', 'id': 'hm3s-vk7u', 'description': 'State and territorial executive orders, administrative orders, resolutions, and proclamations are collected from government websites and cataloged and coded using Microsoft Excel by one coder with one or more additional coders conducting quality assurance.\n\nData were collected to determine when individuals in states and territories were subject to executive orders, administrative orders, resolutions, and proclamations for COVID-19 that require or recommend people stay in their homes. Data consists exclusively of state and territorial orders, many of which apply to specific counties within their respective state or territory; therefore, data is broken down to the county level.\n\nThese data are derived from the publicly available state and territorial executive orders, administrative orders, resolutions, and proclamations (“orders”) for COVID-19 that expressly require or recommend individuals stay at home found by the CDC, COVID-19 Community Intervention and At-Risk Task Force, Monitoring and Evaluation Team & CDC, Center for State, Tribal, Local, and Territorial Support, Public Health Law Program from March 15, 2020 through May 31, 2021. These data will be updated as new orders are collected. Any orders not available through publicly accessible websites are not included in these data. Only official copies of the documents or, where official copies were unavailable, official press releases from government websites describing requirements were coded; news media reports on restrictions were excluded. Recommendations not included in an order are not included in these data. These data do not include mandatory business closures, curfews, or limitations on public or private gatherings. These data do not necessarily represent an official position of the Centers for Disease Control and Prevention.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Stay-At-Home-Orders-Marc/hm3s-vk7u'}"
"U.S. State, Territorial, and County Stay-At-Home Orders: March 15-May 5 by County by Day",qz3x-mf9n,qz3x-mf9n_1736718558.266864_U.S._State__Territorial__and_County_Stay-At-Home_Orders__March_15-May_5_by_County_by_Day_20250112.csv.gz,2025-01-12 21:49:18 UTC,https://data.cdc.gov/Policy-Surveillance/U-S-State-Territorial-and-County-Stay-At-Home-Orde/qz3x-mf9n,"State, territorial, and county executive orders, administrative orders, resolutions, and proclamations are collected from government websites and cataloged and coded using Microsoft Excel by one coder with one or more additional coders conducting quality assurance.

Data were collected to determine when individuals in states, territories, and counties were subject to executive orders, administrative orders, resolutions, and proclamations for COVID-19 that require or recommend people stay in their homes.

These data are derived from the publicly available state, territorial, and county executive orders, administrative orders, resolutions, and proclamations (“orders”) for COVID-19 that expressly require or recommend individuals stay at home found by the CDC, COVID-19 Community Intervention and At-Risk Task Force, Monitoring and Evaluation Team & CDC, Center for State, Tribal, Local, and Territorial Support, Public Health Law Program from March 15 through May 5, 2020. These data will be updated as new orders are collected. Any orders not available through publicly accessible websites are not included in these data. Only official copies of the documents or, where official copies were unavailable, official press releases from government websites describing requirements were coded; news media reports on restrictions were excluded. Recommendations not included in an order are not included in these data. These data do not include mandatory business closures, curfews, or limitations on public or private gatherings. These data do not necessarily represent an official position of the Centers for Disease Control and Prevention.","<https://data.cdc.gov/Policy-Surveillance/U-S-State-Territorial-and-County-Stay-At-Home-Orde/qz3x-mf9n>; rel=""original"",
<http://web.archive.org/web/timemap/link/https://data.cdc.gov/Policy-Surveillance/U-S-State-Territorial-and-County-Stay-At-Home-Orde/qz3x-mf9n>; rel=""self""; type=""application/link-format""; from=""Sun, 17 Jan 2021 09:11:22 GMT"",
<http://web.archive.org/web/https://data.cdc.gov/Policy-Surveillance/U-S-State-Territorial-and-County-Stay-At-Home-Orde/qz3x-mf9n>; rel=""timegate"",
<http://web.archive.org/web/20210117091122/https://data.cdc.gov/Policy-Surveillance/U-S-State-Territorial-and-County-Stay-At-Home-Orde/qz3x-mf9n>; rel=""first memento""; datetime=""Sun, 17 Jan 2021 09:11:22 GMT"",
<http://web.archive.org/web/20210320101749/https://data.cdc.gov/Policy-Surveillance/U-S-State-Territorial-and-County-Stay-At-Home-Orde/qz3x-mf9n>; rel=""memento""; datetime=""Sat, 20 Mar 2021 10:17:49 GMT"",
<http://web.archive.org/web/20210416133212/https://data.cdc.gov/Policy-Surveillance/U-S-State-Territorial-and-County-Stay-At-Home-Orde/qz3x-mf9n>; rel=""memento""; datetime=""Fri, 16 Apr 2021 13:32:12 GMT"",
<http://web.archive.org/web/20210508075407/https://data.cdc.gov/Policy-Surveillance/U-S-State-Territorial-and-County-Stay-At-Home-Orde/qz3x-mf9n>; rel=""memento""; datetime=""Sat, 08 May 2021 07:54:07 GMT"",
<http://web.archive.org/web/20210508075409/https://data.cdc.gov/Policy-Surveillance/U-S-State-Territorial-and-County-Stay-At-Home-Orde/qz3x-mf9n>; rel=""memento""; datetime=""Sat, 08 May 2021 07:54:09 GMT"",
<http://web.archive.org/web/20210720103923/https://data.cdc.gov/Policy-Surveillance/U-S-State-Territorial-and-County-Stay-At-Home-Orde/qz3x-mf9n>; rel=""memento""; datetime=""Tue, 20 Jul 2021 10:39:23 GMT"",
<http://web.archive.org/web/20210720103925/https://data.cdc.gov/Policy-Surveillance/U-S-State-Territorial-and-County-Stay-At-Home-Orde/qz3x-mf9n>; rel=""memento""; datetime=""Tue, 20 Jul 2021 10:39:25 GMT"",
<http://web.archive.org/web/20220216071334/https://data.cdc.gov/Policy-Surveillance/U-S-State-Territorial-and-County-Stay-At-Home-Orde/qz3x-mf9n>; rel=""memento""; datetime=""Wed, 16 Feb 2022 07:13:34 GMT"",
<http://web.archive.org/web/20220305180203/https://data.cdc.gov/Policy-Surveillance/U-S-State-Territorial-and-County-Stay-At-Home-Orde/qz3x-mf9n>; rel=""memento""; datetime=""Sat, 05 Mar 2022 18:02:03 GMT"",
<http://web.archive.org/web/20220806011735/https://data.cdc.gov/Policy-Surveillance/U-S-State-Territorial-and-County-Stay-At-Home-Orde/qz3x-mf9n>; rel=""memento""; datetime=""Sat, 06 Aug 2022 01:17:35 GMT"",
<http://web.archive.org/web/20220811075821/https://data.cdc.gov/Policy-Surveillance/U-S-State-Territorial-and-County-Stay-At-Home-Orde/qz3x-mf9n>; rel=""memento""; datetime=""Thu, 11 Aug 2022 07:58:21 GMT"",
<http://web.archive.org/web/20230325233106/https://data.cdc.gov/Policy-Surveillance/U-S-State-Territorial-and-County-Stay-At-Home-Orde/qz3x-mf9n>; rel=""memento""; datetime=""Sat, 25 Mar 2023 23:31:06 GMT"",
<http://web.archive.org/web/20230407183416/http://data.cdc.gov/Policy-Surveillance/U-S-State-Territorial-and-County-Stay-At-Home-Orde/qz3x-mf9n>; rel=""memento""; datetime=""Fri, 07 Apr 2023 18:34:16 GMT"",
<http://web.archive.org/web/20230407190952/https://data.cdc.gov/Policy-Surveillance/U-S-State-Territorial-and-County-Stay-At-Home-Orde/qz3x-mf9n>; rel=""memento""; datetime=""Fri, 07 Apr 2023 19:09:52 GMT"",
<http://web.archive.org/web/20230522210757/https://data.cdc.gov/Policy-Surveillance/U-S-State-Territorial-and-County-Stay-At-Home-Orde/qz3x-mf9n>; rel=""memento""; datetime=""Mon, 22 May 2023 21:07:57 GMT"",
<http://web.archive.org/web/20230523051837/https://data.cdc.gov/Policy-Surveillance/U-S-State-Territorial-and-County-Stay-At-Home-Orde/qz3x-mf9n>; rel=""memento""; datetime=""Tue, 23 May 2023 05:18:37 GMT"",
<http://web.archive.org/web/20240309072246/https://data.cdc.gov/Policy-Surveillance/U-S-State-Territorial-and-County-Stay-At-Home-Orde/qz3x-mf9n>; rel=""memento""; datetime=""Sat, 09 Mar 2024 07:22:46 GMT"",
<http://web.archive.org/web/20240726143312/https://data.cdc.gov/Policy-Surveillance/U-S-State-Territorial-and-County-Stay-At-Home-Orde/qz3x-mf9n/>; rel=""memento""; datetime=""Fri, 26 Jul 2024 14:33:12 GMT"",
<http://web.archive.org/web/20241121161031/https://data.cdc.gov/Policy-Surveillance/U-S-State-Territorial-and-County-Stay-At-Home-Orde/qz3x-mf9n>; rel=""memento""; datetime=""Thu, 21 Nov 2024 16:10:31 GMT"",
<http://web.archive.org/web/20241125050602/https://data.cdc.gov/Policy-Surveillance/U-S-State-Territorial-and-County-Stay-At-Home-Orde/qz3x-mf9n>; rel=""memento""; datetime=""Mon, 25 Nov 2024 05:06:02 GMT"",
<http://web.archive.org/web/20241126103125/https://data.cdc.gov/Policy-Surveillance/U-S-State-Territorial-and-County-Stay-At-Home-Orde/qz3x-mf9n>; rel=""memento""; datetime=""Tue, 26 Nov 2024 10:31:25 GMT"",
<http://web.archive.org/web/20250201021137/https://data.cdc.gov/Policy-Surveillance/U-S-State-Territorial-and-County-Stay-At-Home-Orde/qz3x-mf9n>; rel=""memento""; datetime=""Sat, 01 Feb 2025 02:11:37 GMT"",
<http://web.archive.org/web/20250201054315/https://data.cdc.gov/Policy-Surveillance/U-S-State-Territorial-and-County-Stay-At-Home-Orde/qz3x-mf9n>; rel=""memento""; datetime=""Sat, 01 Feb 2025 05:43:15 GMT"",
<http://web.archive.org/web/20250201211219/https://data.cdc.gov/Policy-Surveillance/U-S-State-Territorial-and-County-Stay-At-Home-Orde/qz3x-mf9n>; rel=""memento""; datetime=""Sat, 01 Feb 2025 21:12:19 GMT"",
<http://web.archive.org/web/20250202181657/https://data.cdc.gov/Policy-Surveillance/U-S-State-Territorial-and-County-Stay-At-Home-Orde/qz3x-mf9n>; rel=""memento""; datetime=""Sun, 02 Feb 2025 18:16:57 GMT"",
<http://web.archive.org/web/20250203041156/https://data.cdc.gov/Policy-Surveillance/U-S-State-Territorial-and-County-Stay-At-Home-Orde/qz3x-mf9n>; rel=""memento""; datetime=""Mon, 03 Feb 2025 04:11:56 GMT"",
<http://web.archive.org/web/20250207231340/https://data.cdc.gov/Policy-Surveillance/U-S-State-Territorial-and-County-Stay-At-Home-Orde/qz3x-mf9n>; rel=""memento""; datetime=""Fri, 07 Feb 2025 23:13:40 GMT"",
<http://web.archive.org/web/20250209180915/https://data.cdc.gov/Policy-Surveillance/U-S-State-Territorial-and-County-Stay-At-Home-Orde/qz3x-mf9n/>; rel=""memento""; datetime=""Sun, 09 Feb 2025 18:09:15 GMT"",
<http://web.archive.org/web/20250209180934/https://data.cdc.gov/Policy-Surveillance/U-S-State-Territorial-and-County-Stay-At-Home-Orde/qz3x-mf9n>; rel=""memento""; datetime=""Sun, 09 Feb 2025 18:09:34 GMT"",
<http://web.archive.org/web/20250209182156/https://data.cdc.gov/Policy-Surveillance/U-S-State-Territorial-and-County-Stay-At-Home-Orde/qz3x-mf9n>; rel=""memento""; datetime=""Sun, 09 Feb 2025 18:21:56 GMT""
","{'name': 'U.S. State, Territorial, and County Stay-At-Home Orders: March 15-May 5 by County by Day', 'id': 'qz3x-mf9n', 'description': 'State, territorial, and county executive orders, administrative orders, resolutions, and proclamations are collected from government websites and cataloged and coded using Microsoft Excel by one coder with one or more additional coders conducting quality assurance.\n\nData were collected to determine when individuals in states, territories, and counties were subject to executive orders, administrative orders, resolutions, and proclamations for COVID-19 that require or recommend people stay in their homes.\n\nThese data are derived from the publicly available state, territorial, and county executive orders, administrative orders, resolutions, and proclamations (“orders”) for COVID-19 that expressly require or recommend individuals stay at home found by the CDC, COVID-19 Community Intervention and At-Risk Task Force, Monitoring and Evaluation Team & CDC, Center for State, Tribal, Local, and Territorial Support, Public Health Law Program from March 15 through May 5, 2020. These data will be updated as new orders are collected. Any orders not available through publicly accessible websites are not included in these data. Only official copies of the documents or, where official copies were unavailable, official press releases from government websites describing requirements were coded; news media reports on restrictions were excluded. Recommendations not included in an order are not included in these data. These data do not include mandatory business closures, curfews, or limitations on public or private gatherings. These data do not necessarily represent an official position of the Centers for Disease Control and Prevention.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Policy-Surveillance/U-S-State-Territorial-and-County-Stay-At-Home-Orde/qz3x-mf9n'}"
UNKN_SOC_NAME,275g-9x8h,275g-9x8h_1736722250.917158_U.S._COVID-19_Self-Test_Data_20250112.csv.gz,2025-01-12 22:50:50 UTC,,,,"No socrata dataset exists for the id : 275g-9x8h
"
UNKN_SOC_NAME,2r93-e5cs,2r93-e5cs_1736710132.218889_COVID-19_Vaccine_Distribution_Allocations_by_Jurisdiction_-_Janssen_20250112.csv.gz,2025-01-12 19:28:52 UTC,,,,"Cannot download the dataset using 2r93-e5cs
Try downloading using its parent id : w9zu-fywh
"
UNKN_SOC_NAME,2t2r-sf6s,2t2r-sf6s_1736723695.676177_National_Health_Interview_Survey__NHIS____Vision_and_Eye_Health_Surveillance_20250112.csv.gz,2025-01-12 23:14:55 UTC,,,,"No socrata dataset exists for the id : 2t2r-sf6s
"
UNKN_SOC_NAME,32c3-mvuz,32c3-mvuz_1737418097.265285_manual.csv.gz,2025-01-21 00:08:17 UTC,,,,"Cannot download the dataset using 32c3-mvuz
Try downloading using its parent id : nr4s-juj3
"
UNKN_SOC_NAME,3596-ayf6,3596-ayf6_1736712828.285939_Youth_Risk_Behavioral_Surveillance_System__YRBSS__Data_20250112.csv.gz,2025-01-12 20:13:48 UTC,,,,"No socrata dataset exists for the id : 3596-ayf6
"
UNKN_SOC_NAME,3hyk-s66z,3hyk-s66z_1736733521.787183_Sports_Drinks_20250113.csv.gz,2025-01-13 01:58:41 UTC,,,,"No socrata dataset exists for the id : 3hyk-s66z
"
UNKN_SOC_NAME,3kjq-j5dm,3kjq-j5dm_1736715629.626993_SAMMEC_SAE_Glossary_Methods_7-5-16.xls,2025-01-12 21:00:29 UTC,,,,"{'error': 'Dataset cannot be downloaded using Socrata API', 'datatype': ['file', 'blobby']}"
UNKN_SOC_NAME,3nxr-7rcv,3nxr-7rcv_1736737747.474647_Behavioral_Risk_Factor_Data__Tobacco_Use__2011_to_present__20250113.csv.gz,2025-01-13 03:09:07 UTC,,,,"No socrata dataset exists for the id : 3nxr-7rcv
"
UNKN_SOC_NAME,475u-gzzh,475u-gzzh_1736715697.918530_BRFSS__Table_of_HIV-AIDS_20250112.csv.gz,2025-01-12 21:01:37 UTC,,,,"No socrata dataset exists for the id : 475u-gzzh
"
UNKN_SOC_NAME,48va-t53r,48va-t53r_1736720086.775887_Social_Vulnerability_Index_2018_-__United_States__county_20250112.csv.gz,2025-01-12 22:14:46 UTC,,,,"No socrata dataset exists for the id : 48va-t53r
"
UNKN_SOC_NAME,4bif-w52v,4bif-w52v_1736732608.565286_DASH_-_Global_School-based_Student_Health_Survey__GSHS__20250113.csv.gz,2025-01-13 01:43:28 UTC,,,,"No socrata dataset exists for the id : 4bif-w52v
"
UNKN_SOC_NAME,4d8n-kk8a,4d8n-kk8a_1736719762.957849_Social_Vulnerability_Index_2018_-_United_States__tract_20250112.csv.gz,2025-01-12 22:09:22 UTC,,,,"No socrata dataset exists for the id : 4d8n-kk8a
"
UNKN_SOC_NAME,4ht3-nbmd,4ht3-nbmd_1736711890.919207_Archived_Cumulative_Data__Percent_of_pregnant_people_aged_18-49_years_receiving_at_least_one_dose_of_a_COVID-19_vaccine_during_pregnancy_overall__by_race_ethnicity__and_date_reported_to_CDC-Vaccine_Safety_Datalink___Unit.csv.gz,2025-01-12 19:58:10 UTC,,,,"No socrata dataset exists for the id : 4ht3-nbmd
"
UNKN_SOC_NAME,4juz-x2tp,4juz-x2tp_1736710981.668312_Youth_Tobacco_Survey__YTS__Data_20250112.csv.gz,2025-01-12 19:43:01 UTC,,,,"No socrata dataset exists for the id : 4juz-x2tp
"
UNKN_SOC_NAME,4kiq-5hwz,4kiq-5hwz_1736737266.400033_Science_Clips_20250113.csv.gz,2025-01-13 03:01:06 UTC,,,,"Cannot download the dataset using 4kiq-5hwz
Try downloading using its parent id : biid-68vb
"
UNKN_SOC_NAME,4r3g-hv9c,4r3g-hv9c_1736722507.705254_Vision_Service_Plan__VSP____Vision_and_Eye_Health_Surveillance_20250112.csv.gz,2025-01-12 22:55:07 UTC,,,,"No socrata dataset exists for the id : 4r3g-hv9c
"
UNKN_SOC_NAME,4tmr-eik2,4tmr-eik2_1736733113.146491_BP2014_Glossary_Methods_7-5-16.xls,2025-01-13 01:51:53 UTC,,,,"{'error': 'Dataset cannot be downloaded using Socrata API', 'datatype': ['file', 'blobby']}"
UNKN_SOC_NAME,4y6p-yphk,4y6p-yphk_1736714171.904865_Tobacco_Use_Supplement_to_the_Current_Population_Survey__TUS-CPS__Data_20250112.csv.gz,2025-01-12 20:36:11 UTC,,,,"No socrata dataset exists for the id : 4y6p-yphk
"
UNKN_SOC_NAME,4zc2-9ujh,4zc2-9ujh_1736735467.781952_researchprocedure-animalcontact.pdf,2025-01-13 02:31:07 UTC,,,,"{'error': 'Dataset cannot be downloaded using Socrata API', 'datatype': ['file', 'blobby']}"
UNKN_SOC_NAME,5biu-jjj3,5biu-jjj3_1736737203.319139_vsafe_covid19_meddra_20230630.zip,2025-01-13 03:00:03 UTC,,,,"{'error': 'Dataset cannot be downloaded using Socrata API', 'datatype': ['file', 'blobby']}"
UNKN_SOC_NAME,5dm2-74uk,5dm2-74uk_1736724374.938844_DASH_-_Youth_Risk_Behavior_Surveillance_System__YRBSS___High_School_-_Excluding_Sexual_Identity_20250112.csv.gz,2025-01-12 23:26:14 UTC,,,,"No socrata dataset exists for the id : 5dm2-74uk
"
UNKN_SOC_NAME,5hpj-p74g,5hpj-p74g_1736732978.794971_PartA11192024.zip,2025-01-13 01:49:38 UTC,,,,"No socrata dataset exists for the id : 5hpj-p74g
"
UNKN_SOC_NAME,5qag-uzp2,5qag-uzp2_1736725728.422635_Legislation_Glossary_Methodology_12.17.2024.xls,2025-01-12 23:48:48 UTC,,,,"{'error': 'Dataset cannot be downloaded using Socrata API', 'datatype': ['file', 'blobby']}"
UNKN_SOC_NAME,5svk-8bnq,5svk-8bnq_1736712375.121017_National_Health_and_Nutrition_Examination_Survey__NHANES__-_National_Cardiovascular_Disease_Surveillance_System_20250112.csv.gz,2025-01-12 20:06:15 UTC,,,,"No socrata dataset exists for the id : 5svk-8bnq
"
UNKN_SOC_NAME,5vw4-awn6,5vw4-awn6_1736737179.965767_Differences_in_Weekly_Cumulative_Percentage_of_Adults_60_Years_and_Older_Vaccinated_with_Respiratory_Syncytial_Virus__RSV__Vaccine_by_Selected_Demographics_20250113.csv.gz,2025-01-13 02:59:39 UTC,,,,"No socrata dataset exists for the id : 5vw4-awn6
"
UNKN_SOC_NAME,68zh-tyt3,68zh-tyt3_1736732891.183828_Funding_Glossary_Methods_10-13-17.xls,2025-01-13 01:48:11 UTC,,,,"{'error': 'Dataset cannot be downloaded using Socrata API', 'datatype': ['file', 'blobby']}"
UNKN_SOC_NAME,6rsf-i7tq,6rsf-i7tq_1736716712.052307_BRFSS__Table_of_Demographics_20250112.csv.gz,2025-01-12 21:18:32 UTC,,,,"No socrata dataset exists for the id : 6rsf-i7tq
"
UNKN_SOC_NAME,767a-qhkg,767a-qhkg_1736719033.960361_Water_Fluoridation_Statistics_-_Percent_of_PWS_population_receiving_fluoridated_water_20250112.csv.gz,2025-01-12 21:57:13 UTC,,,,"{'error': 'Dataset cannot be downloaded using Socrata API', 'datatype': ['map', 'tabular']}"
UNKN_SOC_NAME,7v8d-ywav,7v8d-ywav_1736728341.851500_DASH_-_YRBSS_Sexual_Behaviors__HS__20250113.csv.gz,2025-01-13 00:32:21 UTC,,,,"No socrata dataset exists for the id : 7v8d-ywav
"
UNKN_SOC_NAME,7yww-23y7,7yww-23y7_1736715968.080136_Behavioral_Risk_Factor_Surveillance_System__BRFSS__Prevalence_Data__2011_to_present__20250112.csv.gz,2025-01-12 21:06:08 UTC,,,,"No socrata dataset exists for the id : 7yww-23y7
"
UNKN_SOC_NAME,8u74-z25n,8u74-z25n_1736730431.642756_DASH_-_Youth_Risk_Behavior_Surveillance_System__YRBSS___Middle_School_20250113.csv.gz,2025-01-13 01:07:11 UTC,,,,"No socrata dataset exists for the id : 8u74-z25n
"
UNKN_SOC_NAME,8vzh-jhkj,8vzh-jhkj_1736731494.067291_DASH_-_Global_School-based_Student_Health_Survey__GSHS__20250113.csv.gz,2025-01-13 01:24:54 UTC,,,,"No socrata dataset exists for the id : 8vzh-jhkj
"
UNKN_SOC_NAME,96er-cudr,96er-cudr_1736719964.320067_BRFSS__Table_of_Oral_Health_20250112.csv.gz,2025-01-12 22:12:44 UTC,,,,"No socrata dataset exists for the id : 96er-cudr
"
UNKN_SOC_NAME,9cr5-2tt7,9cr5-2tt7_1736728922.557267_Rates_and_Trends_in_Coronary_Heart_Disease_and_Stroke_Mortality_Data_Among_US_Adults__35___by_County___1999-2018_20250113.csv.gz,2025-01-13 00:42:02 UTC,,,,"No socrata dataset exists for the id : 9cr5-2tt7
"
UNKN_SOC_NAME,9wzx-rwzv,9wzx-rwzv_1736711161.685576_Monthly_Cumulative_Influenza_Vaccination_Coverage__by_Race_Ethnicity__Pregnant_Persons_18_years_to_49_years__United_States_20250112.csv.gz,2025-01-12 19:46:01 UTC,,,,"No socrata dataset exists for the id : 9wzx-rwzv
"
UNKN_SOC_NAME,9z6e-x5wg,9z6e-x5wg_1736737649.690487_Filtered_View_for_BMI_Viz_20250113.csv.gz,2025-01-13 03:07:29 UTC,,,,"No socrata dataset exists for the id : 9z6e-x5wg
"
UNKN_SOC_NAME,a35h-9yn4,a35h-9yn4_1736722368.602133_Commercial_Medical_Insurance__MSCANCC__-_Vision_and_Eye_Health_Surveillance_20250112.csv.gz,2025-01-12 22:52:48 UTC,,,,"No socrata dataset exists for the id : a35h-9yn4
"
UNKN_SOC_NAME,a5cb-a2ww,a5cb-a2ww_1737417909.255534_manual.csv.gz,2025-01-21 00:05:09 UTC,,,,"No socrata dataset exists for the id : a5cb-a2ww
"
UNKN_SOC_NAME,bc4h-zh8r,bc4h-zh8r_1736735862.688733_mpox_public_data_20230326.zip,2025-01-13 02:37:42 UTC,,,,"{'error': 'Dataset cannot be downloaded using Socrata API', 'datatype': ['file', 'blobby']}"
UNKN_SOC_NAME,bdg5-rnzz,bdg5-rnzz_1736721450.962922_DASH_YRBSS_-_Alcohol_and_Other_Drug_Use__MS__20250112.csv.gz,2025-01-12 22:37:30 UTC,,,,"No socrata dataset exists for the id : bdg5-rnzz
"
UNKN_SOC_NAME,bedg-mmpy,bedg-mmpy_1736708291.644441_DASH_YRBSS_-_HS_Cigar_Use__by_total_grade_sex_race_sexual_identity_sexual_contacts__20250112.csv.gz,2025-01-12 18:58:11 UTC,,,,"No socrata dataset exists for the id : bedg-mmpy
"
UNKN_SOC_NAME,bq95-jg9r,bq95-jg9r_1736716174.111219_BRFSS__Table_of_Tobacco_Use_20250112.csv.gz,2025-01-12 21:09:34 UTC,,,,"No socrata dataset exists for the id : bq95-jg9r
"
UNKN_SOC_NAME,bwx3-gx66,bwx3-gx66_1736727960.137029_Medicaid_Claims__MAX__-_Vision_and_Eye_Health_Surveillance_20250113.csv.gz,2025-01-13 00:26:00 UTC,,,,"No socrata dataset exists for the id : bwx3-gx66
"
UNKN_SOC_NAME,bxam-2zsw,bxam-2zsw_1736720784.479489_CDC_PRAMStat_Data_for_2011_20250112.csv.gz,2025-01-12 22:26:24 UTC,,,,"Cannot download the dataset using bxam-2zsw
Try downloading using its parent id : ese6-rqpq
"
UNKN_SOC_NAME,c2kg-wtx6,c2kg-wtx6_1736718539.501065_NOHSS_Adult_Indicators_20250112.csv.gz,2025-01-12 21:48:59 UTC,,,,"Cannot download the dataset using c2kg-wtx6
Try downloading using its parent id : jz6n-v26y
"
UNKN_SOC_NAME,c4bi-8ytd,c4bi-8ytd_1736710942.998506_Vaccine_Hesitancy_for_COVID-19__County_and_local_estimates_20250112.csv.gz,2025-01-12 19:42:22 UTC,,,,"{'error': 'Dataset cannot be downloaded using Socrata API', 'datatype': ['map', 'tabular']}"
UNKN_SOC_NAME,c82b-jjce,c82b-jjce_1736724847.065149_Table_for_STATE_System_Current_Cigarette_Use_Among_Youth_Interactive_Map_20250112.csv.gz,2025-01-12 23:34:07 UTC,,,,"No socrata dataset exists for the id : c82b-jjce
"
UNKN_SOC_NAME,ce73-p89e,ce73-p89e_1736726192.966621_CDC_PRAMStat_Data_for_2011_20250112.csv.gz,2025-01-12 23:56:32 UTC,,,,"Cannot download the dataset using ce73-p89e
Try downloading using its parent id : ese6-rqpq
"
UNKN_SOC_NAME,cejb-p7hn,cejb-p7hn_1736721357.194024_Blind_or_Serious_Difficulty_Seeing__Age-Adjusted_Prevalence_by_Total__20250112.csv.gz,2025-01-12 22:35:57 UTC,,,,"No socrata dataset exists for the id : cejb-p7hn
"
UNKN_SOC_NAME,d9eu-6czr,d9eu-6czr_1736723239.794988_Going_Smokefree_Matters_-_Multiunit_Housing_Infographic.pdf,2025-01-12 23:07:19 UTC,,,,"No socrata dataset exists for the id : d9eu-6czr
"
UNKN_SOC_NAME,de4p-4g3k,de4p-4g3k_1736722548.583843_National_Survey_of_Children_s_Health__NSCH____Vision_and_Eye_Health_Surveillance_20250112.csv.gz,2025-01-12 22:55:48 UTC,,,,"No socrata dataset exists for the id : de4p-4g3k
"
UNKN_SOC_NAME,dhsy-4sea,dhsy-4sea_1736724887.335534_Stroke_Mortality_Data_Among_US_Adults__35___by_State_Territory_and_County_20250112.csv.gz,2025-01-12 23:34:47 UTC,,,,"No socrata dataset exists for the id : dhsy-4sea
"
UNKN_SOC_NAME,di8t-hnd8,di8t-hnd8_1736737136.452915_YRBSS_-_HS_Multiple_Sexual_Partners_-_Excluding_Sexual_Identity_20250113.csv.gz,2025-01-13 02:58:56 UTC,,,,"No socrata dataset exists for the id : di8t-hnd8
"
UNKN_SOC_NAME,dqgu-gg5d,dqgu-gg5d_1737420278.336915_manual.zip,2025-01-21 00:44:38 UTC,,,,"{'error': 'Dataset cannot be downloaded using Socrata API', 'datatype': ['file', 'blobby']}"
UNKN_SOC_NAME,dr7j-7p7w,dr7j-7p7w_1736731097.589771_DASH_-_Youth_Risk_Behavior_Surveillance_System__YRBSS___Middle_School_20250113.csv.gz,2025-01-13 01:18:17 UTC,,,,"No socrata dataset exists for the id : dr7j-7p7w
"
UNKN_SOC_NAME,dts9-xy2f,dts9-xy2f_1736714046.367686_BRFSS__Table_of_Alcohol_Consumption_20250112.csv.gz,2025-01-12 20:34:06 UTC,,,,"No socrata dataset exists for the id : dts9-xy2f
"
UNKN_SOC_NAME,dttw-5yxu,dttw-5yxu_1736708380.803785_Behavioral_Risk_Factor_Surveillance_System__BRFSS__Prevalence_Data__2011_to_present__20250112.csv.gz,2025-01-12 18:59:40 UTC,,,,"No socrata dataset exists for the id : dttw-5yxu
"
UNKN_SOC_NAME,e28h-tx85,e28h-tx85_1737085668.151495_Medicare_Claims_Vision_and_Eye_Health_Surveillance.csv.gz,2025-01-17 03:47:48 UTC,,,,"No socrata dataset exists for the id : e28h-tx85
"
UNKN_SOC_NAME,e92c-t3mi,e92c-t3mi_1736726953.064649_Going_Smokefree_Matters_-_Bars_and_Restaurants_Infographic.pdf,2025-01-13 00:09:13 UTC,,,,"{'error': 'Dataset cannot be downloaded using Socrata API', 'datatype': ['file', 'blobby']}"
UNKN_SOC_NAME,egkx-k86t,egkx-k86t_1736708790.357378_HHS_Provider_Relief_Fund_20250112.csv.gz,2025-01-12 19:06:30 UTC,,,,"Cannot download the dataset using egkx-k86t
Try downloading using its parent id : kh8y-3es6
"
UNKN_SOC_NAME,ehiz-zk8j,ehiz-zk8j_1736720984.295866_BRFSS__Table_of_Immunization_20250112.csv.gz,2025-01-12 22:29:44 UTC,,,,"No socrata dataset exists for the id : ehiz-zk8j
"
UNKN_SOC_NAME,epap-ayij,epap-ayij_1736739335.558655_TBESC_II_Export_Data.zip,2025-01-13 03:35:35 UTC,,,,"No socrata dataset exists for the id : epap-ayij
"
UNKN_SOC_NAME,evnt-bfr6,evnt-bfr6_1736715643.241072_BRFSS__Table_of_Colorectal_Cancer_Screening_20250112.csv.gz,2025-01-12 21:00:43 UTC,,,,"No socrata dataset exists for the id : evnt-bfr6
"
UNKN_SOC_NAME,f7a2-7inb,f7a2-7inb_1736718491.521658_BRFSS__Table_of_Health_Care_Access_Coverage_20250112.csv.gz,2025-01-12 21:48:11 UTC,,,,"No socrata dataset exists for the id : f7a2-7inb
"
UNKN_SOC_NAME,f8gx-sdye,f8gx-sdye_1736733481.183645_BP2007_Glossary_Methods_7-5-16.xls,2025-01-13 01:58:01 UTC,,,,"{'error': 'Dataset cannot be downloaded using Socrata API', 'datatype': ['file', 'blobby']}"
UNKN_SOC_NAME,fpp2-pp25,fpp2-pp25_1736714553.657097_Behavioral_Risk_Factor_Data__Tobacco_Use__2010_And_Prior__20250112.csv.gz,2025-01-12 20:42:33 UTC,,,,"No socrata dataset exists for the id : fpp2-pp25
"
UNKN_SOC_NAME,fqb7-mgjf,fqb7-mgjf_1736710891.502062_BRFSS__Table_of_Overweight_and_Obesity__BMI__20250112.csv.gz,2025-01-12 19:41:31 UTC,,,,"No socrata dataset exists for the id : fqb7-mgjf
"
UNKN_SOC_NAME,fwns-azgu,fwns-azgu_1736715371.494858_National_Health_Interview_Survey__NHIS__-_National_Cardiovascular_Disease_Surveillance_Data_20250112.csv.gz,2025-01-12 20:56:11 UTC,,,,"No socrata dataset exists for the id : fwns-azgu
"
UNKN_SOC_NAME,fz77-au2z,fz77-au2z_1736722274.567946_Cumulative_Influenza_Vaccination_Coverage__by_Flu_Season_and_Race_Ethnicity__Pregnant_Persons_18-49_years_20250112.csv.gz,2025-01-12 22:51:14 UTC,,,,"No socrata dataset exists for the id : fz77-au2z
"
UNKN_SOC_NAME,g4ie-h725,g4ie-h725_1736708613.685770_U.S._Chronic_Disease_Indicators__CDI___2023_Release_20250112.csv.gz,2025-01-12 19:03:33 UTC,,,,"No socrata dataset exists for the id : g4ie-h725
"
UNKN_SOC_NAME,g9dy-mhts,g9dy-mhts_1736725428.111178_Youth_and_Tobacco_Use_Infographic.pdf,2025-01-12 23:43:48 UTC,,,,"{'error': 'Dataset cannot be downloaded using Socrata API', 'datatype': ['file', 'blobby']}"
UNKN_SOC_NAME,gfhd-2f5y,gfhd-2f5y_1736712225.995740_Behavioral_Risk_Factor_Surveillance_System__BRFSS__Prevalence_Data__2011_to_present__20250112.csv.gz,2025-01-12 20:03:45 UTC,,,,"No socrata dataset exists for the id : gfhd-2f5y
"
UNKN_SOC_NAME,gktn-7mu9,gktn-7mu9_1736722298.812041_CDC_PRAMStat_Data_for_2011_20250112.csv.gz,2025-01-12 22:51:38 UTC,,,,"Cannot download the dataset using gktn-7mu9
Try downloading using its parent id : ese6-rqpq
"
UNKN_SOC_NAME,grbx-2j68,grbx-2j68_1736720637.320553_CDC_PRAMStat_Data_for_2011_20250112.csv.gz,2025-01-12 22:23:57 UTC,,,,"Cannot download the dataset using grbx-2j68
Try downloading using its parent id : ese6-rqpq
"
UNKN_SOC_NAME,gzbv-dn9g,gzbv-dn9g_1736734976.538513_Weekly_Intent_for_Vaccination_and_Cumulative_Percentage_of_Adults_60_Years_and_Older_Vaccinated_with_RSV_Vaccine_20250113.csv.gz,2025-01-13 02:22:56 UTC,,,,"No socrata dataset exists for the id : gzbv-dn9g
"
UNKN_SOC_NAME,h55t-vp3s,h55t-vp3s_1736735216.780420_Water_Fluoridation_Statistics_-_Percent_of_PWS_population_receiving_fluoridated_water_20250113.csv.gz,2025-01-13 02:26:56 UTC,,,,"Cannot download the dataset using h55t-vp3s
Try downloading using its parent id : 8235-5d73
"
UNKN_SOC_NAME,hm35-qkiu,hm35-qkiu_1736719271.540150_Cumulative_Percentage_of_Adults_18_Years_and_Older_Vaccinated_with_the_Updated_2023-24_COVID-19_Vaccine_20250112.csv.gz,2025-01-12 22:01:11 UTC,,,,"No socrata dataset exists for the id : hm35-qkiu
"
UNKN_SOC_NAME,hv7b-3sw8,hv7b-3sw8_1736711453.769558_Data__COVID-19_vaccination_among_pregnant_people_aged_18-49_years_overall__by_race_and_ethnicity__and_date_reported_to_CDC_-_Vaccine_Safety_Datalink___United_States_20250112.csv.gz,2025-01-12 19:50:53 UTC,,,,"No socrata dataset exists for the id : hv7b-3sw8
"
UNKN_SOC_NAME,i2a4-xk9k,i2a4-xk9k_1736728443.087174_U.S._COVID-19_MakeMyTestCount_Self-Test_Data_20250113.csv.gz,2025-01-13 00:34:03 UTC,,,,"No socrata dataset exists for the id : i2a4-xk9k
"
UNKN_SOC_NAME,i2vk-mgdh,i2vk-mgdh_1736716776.314395_Heart_Disease_Mortality_Data_Among_US_Adults__35___by_State_Territory_and_County_20250112.csv.gz,2025-01-12 21:19:36 UTC,,,,"No socrata dataset exists for the id : i2vk-mgdh
"
UNKN_SOC_NAME,i6st-vu2f,i6st-vu2f_1736722571.847951_YTS-Glossary-Methods-2-20-2015.xlsx,2025-01-12 22:56:11 UTC,,,,"No socrata dataset exists for the id : i6st-vu2f
"
UNKN_SOC_NAME,i8ja-z54a,i8ja-z54a_1736721025.119267_BRFSS__Table_of_Women_s_Health_20250112.csv.gz,2025-01-12 22:30:25 UTC,,,,"No socrata dataset exists for the id : i8ja-z54a
"
UNKN_SOC_NAME,idgn-d2g2,idgn-d2g2_1736728298.305511_TUS-CPS-Glossary-Methods-11-2-2015.xlsx,2025-01-13 00:31:38 UTC,,,,"No socrata dataset exists for the id : idgn-d2g2
"
UNKN_SOC_NAME,ifvu-7vvt,ifvu-7vvt_1736723607.040167_BRFSS__Table_of_Injury_20250112.csv.gz,2025-01-12 23:13:27 UTC,,,,"No socrata dataset exists for the id : ifvu-7vvt
"
UNKN_SOC_NAME,ikwk-8git,ikwk-8git_1736715199.413325_Behavioral_Risk_Factor_Surveillance_System__BRFSS__-__National_Cardiovascular_Disease_Surveillance_Data_20250112.csv.gz,2025-01-12 20:53:19 UTC,,,,"No socrata dataset exists for the id : ikwk-8git
"
UNKN_SOC_NAME,iuq5-y9ct,iuq5-y9ct_1736708707.308574_Behavioral_Risk_Factor_Surveillance_System__BRFSS__Historical_Questions_20250112.csv.gz,2025-01-12 19:05:07 UTC,,,,"No socrata dataset exists for the id : iuq5-y9ct
"
UNKN_SOC_NAME,iw6q-r3ja,iw6q-r3ja_1736714823.953529_Center_for_Medicare___Medicaid_Services__CMS____Medicare_Claims_data_20250112.csv.gz,2025-01-12 20:47:03 UTC,,,,"No socrata dataset exists for the id : iw6q-r3ja
"
UNKN_SOC_NAME,jcjq-kepr,jcjq-kepr_1736735825.444689_YRBSS_-_HS_Multiple_Sexual_Partners_-_Including_Sexual_Identity_20250113.csv.gz,2025-01-13 02:37:05 UTC,,,,"No socrata dataset exists for the id : jcjq-kepr
"
UNKN_SOC_NAME,jj3m-siz7,jj3m-siz7_1736739785.213038_1001.zip,2025-01-13 03:43:05 UTC,,,,"{'error': 'Dataset cannot be downloaded using Socrata API', 'datatype': ['file', 'blobby']}"
UNKN_SOC_NAME,jm79-dz78,jm79-dz78_1736713950.589653_Vaccine_Hesitancy_for_COVID-19__County_and_local_estimates_20250112.csv.gz,2025-01-12 20:32:30 UTC,,,,"{'error': 'Dataset cannot be downloaded using Socrata API', 'datatype': ['map', 'tabular']}"
UNKN_SOC_NAME,jppf-dq82,jppf-dq82_1737086317.740426_VEHSS_Composite_Prevalence_Estimates_Visual_Acuity.csv.gz,2025-01-17 03:58:37 UTC,,,,"No socrata dataset exists for the id : jppf-dq82
"
UNKN_SOC_NAME,jwtk-e7wd,jwtk-e7wd_1736719655.008322_BRFSS__Table_of_Prostate_Cancer_20250112.csv.gz,2025-01-12 22:07:35 UTC,,,,"No socrata dataset exists for the id : jwtk-e7wd
"
UNKN_SOC_NAME,k4xj-uge6,k4xj-uge6_1736728853.853737_Going_Smokefree_Matters_-_In_Your_Home_Infographic.pdf,2025-01-13 00:40:53 UTC,,,,"{'error': 'Dataset cannot be downloaded using Socrata API', 'datatype': ['file', 'blobby']}"
UNKN_SOC_NAME,k5bc-k3g8,k5bc-k3g8_1736716607.441284_DASH_-_Youth_Risk_Behavior_Surveillance_System__YRBSS___Middle_School_20250112.csv.gz,2025-01-12 21:16:47 UTC,,,,"No socrata dataset exists for the id : k5bc-k3g8
"
UNKN_SOC_NAME,ke78-phpe,ke78-phpe_1736710161.191031_COVID-19_Vaccine_Distribution_Allocations_by_Jurisdiction_-_Moderna_20250112.csv.gz,2025-01-12 19:29:21 UTC,,,,"Cannot download the dataset using ke78-phpe
Try downloading using its parent id : b7pe-5nws
"
UNKN_SOC_NAME,kevv-m5vs,kevv-m5vs_1736734596.920560_Weekly_Differences_in_Cumulative_Percentage_of_Adults_18_Years_and_Older_Vaccinated_with_the_Updated_2023-24_COVID-19_Vaccine_by_Selected_Demographics_20250113.csv.gz,2025-01-13 02:16:36 UTC,,,,"No socrata dataset exists for the id : kevv-m5vs
"
UNKN_SOC_NAME,kpwh-eddm,kpwh-eddm_1736726655.407688_Stroke_Mortality_Data_Among_US_Adults__35___by_State_Territory_and_County_20250113.csv.gz,2025-01-13 00:04:15 UTC,,,,"No socrata dataset exists for the id : kpwh-eddm
"
UNKN_SOC_NAME,ky6r-8p95,ky6r-8p95_1736724733.855272_Current_Cigarette_Smoking_Among_Adults_Infographic.pdf,2025-01-12 23:32:13 UTC,,,,"No socrata dataset exists for the id : ky6r-8p95
"
UNKN_SOC_NAME,kztq-p2jf,kztq-p2jf_1736711426.727953_National_Vital_Statistics_System__NVSS__-_National_Cardiovascular_Disease_Surveillance_Data_20250112.csv.gz,2025-01-12 19:50:26 UTC,,,,"No socrata dataset exists for the id : kztq-p2jf
"
UNKN_SOC_NAME,mbvg-apdj,mbvg-apdj_1736708582.136111_CDC_PRAMStat_Data_for_2011_20250112.csv.gz,2025-01-12 19:03:02 UTC,,,,"Cannot download the dataset using mbvg-apdj
Try downloading using its parent id : ese6-rqpq
"
UNKN_SOC_NAME,mhmk-cfzz,mhmk-cfzz_1736727384.415352_DASH_YRBSS_-_Tobacco_Use__HS__20250113.csv.gz,2025-01-13 00:16:24 UTC,,,,"No socrata dataset exists for the id : mhmk-cfzz
"
UNKN_SOC_NAME,mx2d-yjrk,mx2d-yjrk_1736727546.199303_Cumulative_Percentage_of_Adults_60_Years_and_Older_Vaccinated_with_RSV_Vaccine_by_Demographic_Characteristics_20250113.csv.gz,2025-01-13 00:19:06 UTC,,,,"No socrata dataset exists for the id : mx2d-yjrk
"
UNKN_SOC_NAME,n44h-hy2j,n44h-hy2j_1736713449.649221_500Cities_City_11082016.ZIP,2025-01-12 20:24:09 UTC,,,,"{'error': 'Dataset cannot be downloaded using Socrata API', 'datatype': ['file', 'blobby']}"
UNKN_SOC_NAME,nauw-t2ir,nauw-t2ir_1736721381.026305_CDC_PRAMStat_Data_for_2011_20250112.csv.gz,2025-01-12 22:36:21 UTC,,,,"Cannot download the dataset using nauw-t2ir
Try downloading using its parent id : ese6-rqpq
"
UNKN_SOC_NAME,ntny-77fx,ntny-77fx_1736716251.311276_Healthcare_Cost_and_Utilization_Project__HCUP__-_National_Inpatient_Sample_20250112.csv.gz,2025-01-12 21:10:51 UTC,,,,"No socrata dataset exists for the id : ntny-77fx
"
UNKN_SOC_NAME,nwym-29tc,nwym-29tc_1736731398.186448_DASH_GSHS_-_Fast_Food_20250113.csv.gz,2025-01-13 01:23:18 UTC,,,,"No socrata dataset exists for the id : nwym-29tc
"
UNKN_SOC_NAME,nxst-x9p4,nxst-x9p4_1736708811.292200_CDC_Nutrition__Physical_Activity__and_Obesity_-_Legislation_20250112.csv.gz,2025-01-12 19:06:51 UTC,,,,"No socrata dataset exists for the id : nxst-x9p4
"
UNKN_SOC_NAME,p8tr-pquj,p8tr-pquj_1736734028.377314_SAMHSA-Glossary-Methods-1-21-15.xls,2025-01-13 02:07:08 UTC,,,,"{'error': 'Dataset cannot be downloaded using Socrata API', 'datatype': ['file', 'blobby']}"
UNKN_SOC_NAME,pakc-hru3,pakc-hru3_1736727599.826427_Weekly_Intent_for_Vaccination_and_Cumulative_Percentage_of_Adults_18_Years_and_Older_Vaccinated_with_Updated_2023-24_COVID-19_Vaccine_20250113.csv.gz,2025-01-13 00:19:59 UTC,,,,"No socrata dataset exists for the id : pakc-hru3
"
UNKN_SOC_NAME,ph9t-7d7h,ph9t-7d7h_1736728949.940323_YRBSS_-_HS_Multiple_Sexual_Partners__by_total_sex_grade_race__-_Including_Sexual_Identity_20250113.csv.gz,2025-01-13 00:42:29 UTC,,,,"No socrata dataset exists for the id : ph9t-7d7h
"
UNKN_SOC_NAME,pmxu-gsdm,pmxu-gsdm_1736726107.863629_CDC_PRAMStat_Data_for_2011_20250112.csv.gz,2025-01-12 23:55:07 UTC,,,,"Cannot download the dataset using pmxu-gsdm
Try downloading using its parent id : ese6-rqpq
"
UNKN_SOC_NAME,pttf-ck53,pttf-ck53_1736714287.676201_BRFSS_Vision_Module_Data___Vision___Eye_Health_20250112.csv.gz,2025-01-12 20:38:07 UTC,,,,"No socrata dataset exists for the id : pttf-ck53
"
UNKN_SOC_NAME,pxpe-pgrg,pxpe-pgrg_1736722599.101680_DASH_-_Global_School-based_Student_Health_Survey__GSHS__20250112.csv.gz,2025-01-12 22:56:39 UTC,,,,"No socrata dataset exists for the id : pxpe-pgrg
"
UNKN_SOC_NAME,pyx3-qe4e,pyx3-qe4e_1736724221.340310_CDC_PRAMStat_Data_for_2011_20250112.csv.gz,2025-01-12 23:23:41 UTC,,,,"Cannot download the dataset using pyx3-qe4e
Try downloading using its parent id : ese6-rqpq
"
UNKN_SOC_NAME,q6p7-56au,q6p7-56au_1737085474.645073_DASH_Youth_Risk_Behavior_Surveillance_System_YRBSS.csv.gz,2025-01-17 03:44:34 UTC,,,,"No socrata dataset exists for the id : q6p7-56au
"
UNKN_SOC_NAME,q8w2-qsck,q8w2-qsck_1736737335.467068_Standardized_Precipitation_Index__1895-2016_20250113.csv.gz,2025-01-13 03:02:15 UTC,,,,"Cannot download the dataset using q8w2-qsck
Try downloading using its parent id : xbk2-5i4e
"
UNKN_SOC_NAME,qcw5-4m9q,qcw5-4m9q_1736723472.361986_BCPP_Datasets.zip,2025-01-12 23:11:12 UTC,,,,"{'error': 'Dataset cannot be downloaded using Socrata API', 'datatype': ['file', 'blobby']}"
UNKN_SOC_NAME,qeru-k2y2,qeru-k2y2_1737085528.658179_VEHSS_Composite_Prevalence_Estimates.csv.gz,2025-01-17 03:45:28 UTC,,,,"No socrata dataset exists for the id : qeru-k2y2
"
UNKN_SOC_NAME,qk2m-jri4,qk2m-jri4_1736720539.692390_BRFSS__Table_of_Hypertension_Awareness_20250112.csv.gz,2025-01-12 22:22:19 UTC,,,,"No socrata dataset exists for the id : qk2m-jri4
"
UNKN_SOC_NAME,qnbs-bbdd,qnbs-bbdd_1736729528.803972_Nutrition__Physical_Activity__and_Obesity_-_Behavioral_Risk_Factor_Surveillance_System_20250113.csv.gz,2025-01-13 00:52:08 UTC,,,,"No socrata dataset exists for the id : qnbs-bbdd
"
UNKN_SOC_NAME,r35g-znws,r35g-znws_1736720941.356775_Heart_Disease_Mortality_Data_Among_US_Adults__35___by_State_Territory_and_County_20250112.csv.gz,2025-01-12 22:29:01 UTC,,,,"No socrata dataset exists for the id : r35g-znws
"
UNKN_SOC_NAME,s5hu-2eck,s5hu-2eck_1736724158.743207_Vaccine_Hesitancy_for_COVID-19__County_and_local_estimates_20250112.csv.gz,2025-01-12 23:22:38 UTC,,,,"{'error': 'Dataset cannot be downloaded using Socrata API', 'datatype': ['map', 'tabular']}"
UNKN_SOC_NAME,sesw-5ehn,sesw-5ehn_1736731564.457455_CLEARED_Schmit_Sunshine_Ramanathan_Menon_EHI_Protocol.v3.MSWord.pdf,2025-01-13 01:26:04 UTC,,,,"{'error': 'Dataset cannot be downloaded using Socrata API', 'datatype': ['file', 'blobby']}"
UNKN_SOC_NAME,sfei-pddr,sfei-pddr_1736727249.813305_E-Cigarette_Glossary_and_Methods_9-27-17.xls,2025-01-13 00:14:09 UTC,,,,"{'error': 'Dataset cannot be downloaded using Socrata API', 'datatype': ['file', 'blobby']}"
UNKN_SOC_NAME,sgg4-hiwe,sgg4-hiwe_1736735080.883744_NAAG-Glossary-Methods-05192021.xls,2025-01-13 02:24:40 UTC,,,,"{'error': 'Dataset cannot be downloaded using Socrata API', 'datatype': ['file', 'blobby']}"
UNKN_SOC_NAME,spzz-he63,spzz-he63_1736711007.733280_COVID-19_Vaccine_Distribution_Allocations_by_Jurisdiction_-_Moderna_20250112.csv.gz,2025-01-12 19:43:27 UTC,,,,"Cannot download the dataset using spzz-he63
Try downloading using its parent id : b7pe-5nws
"
UNKN_SOC_NAME,svam-8dhg,svam-8dhg_1736713085.055821_DASH_-_Youth_Risk_Behavior_Surveillance_System__YRBSS___High_School_-_Excluding_Sexual_Identity_20250112.csv.gz,2025-01-12 20:18:05 UTC,,,,"No socrata dataset exists for the id : svam-8dhg
"
UNKN_SOC_NAME,sxbq-3sid,sxbq-3sid_1736707143.791793_COVID-19_Vaccine_Distribution_Allocations_by_Jurisdiction_-_Pfizer_20250112.csv.gz,2025-01-12 18:39:03 UTC,https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid,,"<https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""original"",
<http://web.archive.org/web/timemap/link/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""self""; type=""application/link-format""; from=""Mon, 01 Mar 2021 08:37:37 GMT"",
<http://web.archive.org/web/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""timegate"",
<http://web.archive.org/web/20210301083737/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""first memento""; datetime=""Mon, 01 Mar 2021 08:37:37 GMT"",
<http://web.archive.org/web/20210302165452/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Tue, 02 Mar 2021 16:54:52 GMT"",
<http://web.archive.org/web/20210302175131/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Tue, 02 Mar 2021 17:51:31 GMT"",
<http://web.archive.org/web/20210303070851/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Wed, 03 Mar 2021 07:08:51 GMT"",
<http://web.archive.org/web/20210321192729/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Sun, 21 Mar 2021 19:27:29 GMT"",
<http://web.archive.org/web/20210322213417/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Mon, 22 Mar 2021 21:34:17 GMT"",
<http://web.archive.org/web/20210409125541/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Fri, 09 Apr 2021 12:55:41 GMT"",
<http://web.archive.org/web/20210409140834/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Fri, 09 Apr 2021 14:08:34 GMT"",
<http://web.archive.org/web/20210409152153/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Fri, 09 Apr 2021 15:21:53 GMT"",
<http://web.archive.org/web/20210409153652/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Fri, 09 Apr 2021 15:36:52 GMT"",
<http://web.archive.org/web/20210420143835/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Tue, 20 Apr 2021 14:38:35 GMT"",
<http://web.archive.org/web/20210425205007/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Sun, 25 Apr 2021 20:50:07 GMT"",
<http://web.archive.org/web/20210507215223/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Fri, 07 May 2021 21:52:23 GMT"",
<http://web.archive.org/web/20210510040316/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Mon, 10 May 2021 04:03:16 GMT"",
<http://web.archive.org/web/20210510040318/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Mon, 10 May 2021 04:03:18 GMT"",
<http://web.archive.org/web/20210531202349/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Mon, 31 May 2021 20:23:49 GMT"",
<http://web.archive.org/web/20210531202358/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Mon, 31 May 2021 20:23:58 GMT"",
<http://web.archive.org/web/20210606113057/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Sun, 06 Jun 2021 11:30:57 GMT"",
<http://web.archive.org/web/20210627192807/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Sun, 27 Jun 2021 19:28:07 GMT"",
<http://web.archive.org/web/20210721202129/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Wed, 21 Jul 2021 20:21:29 GMT"",
<http://web.archive.org/web/20210721202132/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Wed, 21 Jul 2021 20:21:32 GMT"",
<http://web.archive.org/web/20210726090646/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Mon, 26 Jul 2021 09:06:46 GMT"",
<http://web.archive.org/web/20210802052537/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Mon, 02 Aug 2021 05:25:37 GMT"",
<http://web.archive.org/web/20210810113115/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Tue, 10 Aug 2021 11:31:15 GMT"",
<http://web.archive.org/web/20210811075301/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Wed, 11 Aug 2021 07:53:01 GMT"",
<http://web.archive.org/web/20210811090319/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Wed, 11 Aug 2021 09:03:19 GMT"",
<http://web.archive.org/web/20210814013212/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Sat, 14 Aug 2021 01:32:12 GMT"",
<http://web.archive.org/web/20210823201825/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Mon, 23 Aug 2021 20:18:25 GMT"",
<http://web.archive.org/web/20210909070550/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Thu, 09 Sep 2021 07:05:50 GMT"",
<http://web.archive.org/web/20210927135709/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Mon, 27 Sep 2021 13:57:09 GMT"",
<http://web.archive.org/web/20211019050613/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Tue, 19 Oct 2021 05:06:13 GMT"",
<http://web.archive.org/web/20211124174312/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Wed, 24 Nov 2021 17:43:12 GMT"",
<http://web.archive.org/web/20211227091602/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Mon, 27 Dec 2021 09:16:02 GMT"",
<http://web.archive.org/web/20211227214111/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Mon, 27 Dec 2021 21:41:11 GMT"",
<http://web.archive.org/web/20220120163721/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Thu, 20 Jan 2022 16:37:21 GMT"",
<http://web.archive.org/web/20220125025125/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Tue, 25 Jan 2022 02:51:25 GMT"",
<http://web.archive.org/web/20220309152121/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Wed, 09 Mar 2022 15:21:21 GMT"",
<http://web.archive.org/web/20220311032846/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Fri, 11 Mar 2022 03:28:46 GMT"",
<http://web.archive.org/web/20220701042858/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Fri, 01 Jul 2022 04:28:58 GMT"",
<http://web.archive.org/web/20221015054032/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Sat, 15 Oct 2022 05:40:32 GMT"",
<http://web.archive.org/web/20221016084838/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Sun, 16 Oct 2022 08:48:38 GMT"",
<http://web.archive.org/web/20221108211015/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Tue, 08 Nov 2022 21:10:15 GMT"",
<http://web.archive.org/web/20221119165105/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Sat, 19 Nov 2022 16:51:05 GMT"",
<http://web.archive.org/web/20221211051120/http://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Sun, 11 Dec 2022 05:11:20 GMT"",
<http://web.archive.org/web/20230226004703/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Sun, 26 Feb 2023 00:47:03 GMT"",
<http://web.archive.org/web/20230519195445/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Fri, 19 May 2023 19:54:45 GMT"",
<http://web.archive.org/web/20230531221923/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Wed, 31 May 2023 22:19:23 GMT"",
<http://web.archive.org/web/20230810223256/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Thu, 10 Aug 2023 22:32:56 GMT"",
<http://web.archive.org/web/20231001104734/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Sun, 01 Oct 2023 10:47:34 GMT"",
<http://web.archive.org/web/20231202175858/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Sat, 02 Dec 2023 17:58:58 GMT"",
<http://web.archive.org/web/20240412042006/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Fri, 12 Apr 2024 04:20:06 GMT"",
<http://web.archive.org/web/20240419054616/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Fri, 19 Apr 2024 05:46:16 GMT"",
<http://web.archive.org/web/20240807181640/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Wed, 07 Aug 2024 18:16:40 GMT"",
<http://web.archive.org/web/20240918015911/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Wed, 18 Sep 2024 01:59:11 GMT"",
<http://web.archive.org/web/20240921091814/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Sat, 21 Sep 2024 09:18:14 GMT"",
<http://web.archive.org/web/20240927014707/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Fri, 27 Sep 2024 01:47:07 GMT"",
<http://web.archive.org/web/20241014174155/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Mon, 14 Oct 2024 17:41:55 GMT"",
<http://web.archive.org/web/20241108013750/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Fri, 08 Nov 2024 01:37:50 GMT"",
<http://web.archive.org/web/20241111165209/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Mon, 11 Nov 2024 16:52:09 GMT"",
<http://web.archive.org/web/20241125040246/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Mon, 25 Nov 2024 04:02:46 GMT"",
<http://web.archive.org/web/20241125061230/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Mon, 25 Nov 2024 06:12:30 GMT"",
<http://web.archive.org/web/20250130180915/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Thu, 30 Jan 2025 18:09:15 GMT"",
<http://web.archive.org/web/20250131202823/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Fri, 31 Jan 2025 20:28:23 GMT"",
<http://web.archive.org/web/20250201005125/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Sat, 01 Feb 2025 00:51:25 GMT"",
<http://web.archive.org/web/20250202021112/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Sun, 02 Feb 2025 02:11:12 GMT"",
<http://web.archive.org/web/20250202022755/https://data.cdc.gov/Vaccinations/National-Weekly-Pfizer-Allocations/sxbq-3sid>; rel=""memento""; datetime=""Sun, 02 Feb 2025 02:27:55 GMT""
","Cannot download the dataset using sxbq-3sid
Try downloading using its parent id : saz5-9hgg
"
UNKN_SOC_NAME,t9kj-aema,t9kj-aema_1736722733.521581_Reasons_for_No_Eye_Care__Age-adjusted_Prevalence__20250112.csv.gz,2025-01-12 22:58:53 UTC,,,,"No socrata dataset exists for the id : t9kj-aema
"
UNKN_SOC_NAME,tbfm-vbpp,tbfm-vbpp_1736710578.855363_National_Adult_Tobacco_Survey__NATS__20250112.csv.gz,2025-01-12 19:36:18 UTC,,,,"No socrata dataset exists for the id : tbfm-vbpp
"
UNKN_SOC_NAME,tcmp-75zb,tcmp-75zb_1736716397.268298_Behavioral_Risk_Factor_Surveillance_System__BRFSS__Prevalence_Data__2011_to_present__20250112.csv.gz,2025-01-12 21:13:17 UTC,,,,"No socrata dataset exists for the id : tcmp-75zb
"
UNKN_SOC_NAME,tdbk-8ubw,tdbk-8ubw_1736718069.977307_National_Health_and_Nutrition_Examination_Survey__NHANES____Vision_and_Eye_Health_Surveillance_20250112.csv.gz,2025-01-12 21:41:09 UTC,,,,"No socrata dataset exists for the id : tdbk-8ubw
"
UNKN_SOC_NAME,thir-stei,thir-stei_1736722450.094154_American_Community_Survey__ACS____Vision_and_Eye_Health_Surveillance_20250112.csv.gz,2025-01-12 22:54:10 UTC,,,,"No socrata dataset exists for the id : thir-stei
"
UNKN_SOC_NAME,thvz-2vif,thvz-2vif_1736726795.213617_Nutrition__Physical_Activity__and_Obesity_-_Behavioral_Risk_Factor_Surveillance_System_20250113.csv.gz,2025-01-13 00:06:35 UTC,,,,"No socrata dataset exists for the id : thvz-2vif
"
UNKN_SOC_NAME,tv7q-8s5b,tv7q-8s5b_1736711816.001437_Nutrition__Physical_Activity__and_Obesity_-_Behavioral_Risk_Factor_Surveillance_System_20250112.csv.gz,2025-01-12 19:56:56 UTC,,,,"No socrata dataset exists for the id : tv7q-8s5b
"
UNKN_SOC_NAME,u2mu-8h52,u2mu-8h52_1736727713.047412_CDC_PRAMStat_Data_for_2011_20250113.csv.gz,2025-01-13 00:21:53 UTC,,,,"Cannot download the dataset using u2mu-8h52
Try downloading using its parent id : ese6-rqpq
"
UNKN_SOC_NAME,u5bf-rqpa,u5bf-rqpa_1736737603.939941_Science_Clips_20250113.csv.gz,2025-01-13 03:06:43 UTC,,,,"Cannot download the dataset using u5bf-rqpa
Try downloading using its parent id : biid-68vb
"
UNKN_SOC_NAME,u7k3-tu8b,u7k3-tu8b_1736714087.466460_BRFSS__Table_of_Chronic_Health_Indicators_20250112.csv.gz,2025-01-12 20:34:47 UTC,,,,"No socrata dataset exists for the id : u7k3-tu8b
"
UNKN_SOC_NAME,uc4z-hbsd,uc4z-hbsd_1736722179.682743_National_Immunization_Survey_Adult_COVID_Module__NIS-ACM___COVIDVaxViews__Data___Centers_for_Disease_Control_and_Prevention__cdc.gov__20250112.csv.gz,2025-01-12 22:49:39 UTC,,,,"No socrata dataset exists for the id : uc4z-hbsd
"
UNKN_SOC_NAME,udsf-9v7b,udsf-9v7b_1736711175.184922_National_Immunization_Survey_Adult_COVID_Module__NIS-ACM___COVIDVaxViews__Data___Centers_for_Disease_Control_and_Prevention__cdc.gov_-Archived_20250112.csv.gz,2025-01-12 19:46:15 UTC,,,,"No socrata dataset exists for the id : udsf-9v7b
"
UNKN_SOC_NAME,urh8-82n7,urh8-82n7_1736716684.390912_BRFSS__Table_of_Physical_Activity_20250112.csv.gz,2025-01-12 21:18:04 UTC,,,,"No socrata dataset exists for the id : urh8-82n7
"
UNKN_SOC_NAME,ut77-w34y,ut77-w34y_1736732667.682128_Partial_Variable_Name_20250113.csv.gz,2025-01-13 01:44:27 UTC,,,,"No socrata dataset exists for the id : ut77-w34y
"
UNKN_SOC_NAME,v3ym-qb74,v3ym-qb74_1736726671.963074_DASH_-_YRBSS_Alcohol_and_Other_Drug_Use__HS__20250113.csv.gz,2025-01-13 00:04:31 UTC,,,,"No socrata dataset exists for the id : v3ym-qb74
"
UNKN_SOC_NAME,vktt-rppe,vktt-rppe_1736735481.677387_YRBSS_-_HS_Multiple_Sexual_Partners__by_total_sex_race_grade__-_Excluding_Sexual_Identity_20250113.csv.gz,2025-01-13 02:31:21 UTC,,,,"No socrata dataset exists for the id : vktt-rppe
"
UNKN_SOC_NAME,vkwg-yswv,vkwg-yswv_1736716560.248921_Behavioral_Risk_Factors___Vision_and_Eye_Health_Surveillance_20250112.csv.gz,2025-01-12 21:16:00 UTC,,,,"No socrata dataset exists for the id : vkwg-yswv
"
UNKN_SOC_NAME,vtt9-bd7m,vtt9-bd7m_1736735736.772586_DASH_YRBSS_-_HS_Cigar_Use_20250113.csv.gz,2025-01-13 02:35:36 UTC,,,,"No socrata dataset exists for the id : vtt9-bd7m
"
UNKN_SOC_NAME,vtwh-8kxg,vtwh-8kxg_1736732718.817767_Adult_Tobacco_Consumption_in_the_U.S._Glossary_and_Methodology.xls,2025-01-13 01:45:18 UTC,,,,"No socrata dataset exists for the id : vtwh-8kxg
"
UNKN_SOC_NAME,vzr2-2rzq,vzr2-2rzq_1736728987.855951_NOHSS_Adult_Indicators_20250113.csv.gz,2025-01-13 00:43:07 UTC,,,,"Cannot download the dataset using vzr2-2rzq
Try downloading using its parent id : jz6n-v26y
"
UNKN_SOC_NAME,w47j-r23n,w47j-r23n_1736724659.067938_SAMMEC_SAM_Glossary_Methods_7-5-16.xls,2025-01-12 23:30:59 UTC,,,,"{'error': 'Dataset cannot be downloaded using Socrata API', 'datatype': ['file', 'blobby']}"
UNKN_SOC_NAME,w6be-99qd,w6be-99qd_1736710782.759862_Weekly_Data__COVID-19_vaccination_among_pregnant_people_ages_18-49_years_before_and_during_pregnancy_overall__by_race_ethnicity__and_week_ending_date_-_Vaccine_Safety_Datalink___United_States_20250112.csv.gz,2025-01-12 19:39:42 UTC,,,,"No socrata dataset exists for the id : w6be-99qd
"
UNKN_SOC_NAME,wh9j-2zjc,wh9j-2zjc_1736728825.590024_NOHSS_Adult_Indicators_20250113.csv.gz,2025-01-13 00:40:25 UTC,,,,"Cannot download the dataset using wh9j-2zjc
Try downloading using its parent id : jz6n-v26y
"
UNKN_SOC_NAME,wqmg-a9hj,wqmg-a9hj_1736722801.657873_Behavioral_Risk_Factor_Surveillance_System__BRFSS__Prevalence_Data__2011_to_present__20250112.csv.gz,2025-01-12 23:00:01 UTC,,,,"No socrata dataset exists for the id : wqmg-a9hj
"
UNKN_SOC_NAME,wsas-xwh5,wsas-xwh5_1736708558.682241_Behavioral_Risk_Factor_Data__Tobacco_Use__2011_to_present__20250112.csv.gz,2025-01-12 19:02:38 UTC,,,,"No socrata dataset exists for the id : wsas-xwh5
"
UNKN_SOC_NAME,x7z5-ytdu,x7z5-ytdu_1736724911.120438_Behavioral_Risk_Factor_Surveillance_System__BRFSS__Prevalence_Data__2011_to_present__20250112.csv.gz,2025-01-12 23:35:11 UTC,,,,"No socrata dataset exists for the id : x7z5-ytdu
"
UNKN_SOC_NAME,x7zy-2xmx,x7zy-2xmx_1736712049.571862_500Cities_Tracts_11082016.zip,2025-01-12 20:00:49 UTC,,,,"{'error': 'Dataset cannot be downloaded using Socrata API', 'datatype': ['file', 'blobby']}"
UNKN_SOC_NAME,xa4b-4pzv,xa4b-4pzv_1736707487.865002_Provisional_COVID-19_Deaths__Focus_on_Ages_0-18_Years_20250112.csv.gz,2025-01-12 18:44:47 UTC,https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv,,"<https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""original"",
<http://web.archive.org/web/timemap/link/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""self""; type=""application/link-format""; from=""Sun, 01 Nov 2020 04:16:26 GMT"",
<http://web.archive.org/web/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""timegate"",
<http://web.archive.org/web/20201101041626/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""first memento""; datetime=""Sun, 01 Nov 2020 04:16:26 GMT"",
<http://web.archive.org/web/20210117100326/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Sun, 17 Jan 2021 10:03:26 GMT"",
<http://web.archive.org/web/20210218110803/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Thu, 18 Feb 2021 11:08:03 GMT"",
<http://web.archive.org/web/20210322195513/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Mon, 22 Mar 2021 19:55:13 GMT"",
<http://web.archive.org/web/20210416141049/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Fri, 16 Apr 2021 14:10:49 GMT"",
<http://web.archive.org/web/20210531193915/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Mon, 31 May 2021 19:39:15 GMT"",
<http://web.archive.org/web/20210618113513/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Fri, 18 Jun 2021 11:35:13 GMT"",
<http://web.archive.org/web/20210720143929/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Tue, 20 Jul 2021 14:39:29 GMT"",
<http://web.archive.org/web/20210730005610/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Fri, 30 Jul 2021 00:56:10 GMT"",
<http://web.archive.org/web/20210731103658/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Sat, 31 Jul 2021 10:36:58 GMT"",
<http://web.archive.org/web/20210801001710/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Sun, 01 Aug 2021 00:17:10 GMT"",
<http://web.archive.org/web/20210818132028/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Wed, 18 Aug 2021 13:20:28 GMT"",
<http://web.archive.org/web/20210819032010/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Thu, 19 Aug 2021 03:20:10 GMT"",
<http://web.archive.org/web/20210822155451/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Sun, 22 Aug 2021 15:54:51 GMT"",
<http://web.archive.org/web/20210830034143/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Mon, 30 Aug 2021 03:41:43 GMT"",
<http://web.archive.org/web/20210830233803/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Mon, 30 Aug 2021 23:38:03 GMT"",
<http://web.archive.org/web/20210906060739/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Mon, 06 Sep 2021 06:07:39 GMT"",
<http://web.archive.org/web/20210915095037/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Wed, 15 Sep 2021 09:50:37 GMT"",
<http://web.archive.org/web/20210928222550/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Tue, 28 Sep 2021 22:25:50 GMT"",
<http://web.archive.org/web/20211019053844/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Tue, 19 Oct 2021 05:38:44 GMT"",
<http://web.archive.org/web/20211020185005/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Wed, 20 Oct 2021 18:50:05 GMT"",
<http://web.archive.org/web/20211020202208/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Wed, 20 Oct 2021 20:22:08 GMT"",
<http://web.archive.org/web/20211026180812/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Tue, 26 Oct 2021 18:08:12 GMT"",
<http://web.archive.org/web/20211026230032/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Tue, 26 Oct 2021 23:00:32 GMT"",
<http://web.archive.org/web/20211027023517/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Wed, 27 Oct 2021 02:35:17 GMT"",
<http://web.archive.org/web/20211028051531/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Thu, 28 Oct 2021 05:15:31 GMT"",
<http://web.archive.org/web/20211101222038/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Mon, 01 Nov 2021 22:20:38 GMT"",
<http://web.archive.org/web/20211101223651/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Mon, 01 Nov 2021 22:36:51 GMT"",
<http://web.archive.org/web/20211101225144/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Mon, 01 Nov 2021 22:51:44 GMT"",
<http://web.archive.org/web/20211102161511/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Tue, 02 Nov 2021 16:15:11 GMT"",
<http://web.archive.org/web/20211102173548/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Tue, 02 Nov 2021 17:35:48 GMT"",
<http://web.archive.org/web/20211102183731/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Tue, 02 Nov 2021 18:37:31 GMT"",
<http://web.archive.org/web/20211104084410/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Thu, 04 Nov 2021 08:44:10 GMT"",
<http://web.archive.org/web/20211109193715/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Tue, 09 Nov 2021 19:37:15 GMT"",
<http://web.archive.org/web/20211113033304/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Sat, 13 Nov 2021 03:33:04 GMT"",
<http://web.archive.org/web/20211116061922/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Tue, 16 Nov 2021 06:19:22 GMT"",
<http://web.archive.org/web/20211116171029/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Tue, 16 Nov 2021 17:10:29 GMT"",
<http://web.archive.org/web/20211116171336/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Tue, 16 Nov 2021 17:13:36 GMT"",
<http://web.archive.org/web/20211117180544/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Wed, 17 Nov 2021 18:05:44 GMT"",
<http://web.archive.org/web/20211117193403/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Wed, 17 Nov 2021 19:34:03 GMT"",
<http://web.archive.org/web/20211123122954/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Tue, 23 Nov 2021 12:29:54 GMT"",
<http://web.archive.org/web/20211207225346/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Tue, 07 Dec 2021 22:53:46 GMT"",
<http://web.archive.org/web/20211219072807/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Sun, 19 Dec 2021 07:28:07 GMT"",
<http://web.archive.org/web/20211227102722/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Mon, 27 Dec 2021 10:27:22 GMT"",
<http://web.archive.org/web/20211228100542/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Tue, 28 Dec 2021 10:05:42 GMT"",
<http://web.archive.org/web/20211229161317/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Wed, 29 Dec 2021 16:13:17 GMT"",
<http://web.archive.org/web/20220101211912/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Sat, 01 Jan 2022 21:19:12 GMT"",
<http://web.archive.org/web/20220105055023/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Wed, 05 Jan 2022 05:50:23 GMT"",
<http://web.archive.org/web/20220112054430/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Wed, 12 Jan 2022 05:44:30 GMT"",
<http://web.archive.org/web/20220113044903/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Thu, 13 Jan 2022 04:49:03 GMT"",
<http://web.archive.org/web/20220120171441/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Thu, 20 Jan 2022 17:14:41 GMT"",
<http://web.archive.org/web/20220201220324/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Tue, 01 Feb 2022 22:03:24 GMT"",
<http://web.archive.org/web/20220202171207/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Wed, 02 Feb 2022 17:12:07 GMT"",
<http://web.archive.org/web/20220208073846/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Tue, 08 Feb 2022 07:38:46 GMT"",
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<http://web.archive.org/web/20220323005314/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Wed, 23 Mar 2022 00:53:14 GMT"",
<http://web.archive.org/web/20220323201208/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Wed, 23 Mar 2022 20:12:08 GMT"",
<http://web.archive.org/web/20220326115815/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Sat, 26 Mar 2022 11:58:15 GMT"",
<http://web.archive.org/web/20220327032041/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Sun, 27 Mar 2022 03:20:41 GMT"",
<http://web.archive.org/web/20220329191143/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Tue, 29 Mar 2022 19:11:43 GMT"",
<http://web.archive.org/web/20220402095509/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Sat, 02 Apr 2022 09:55:09 GMT"",
<http://web.archive.org/web/20220407003848/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Thu, 07 Apr 2022 00:38:48 GMT"",
<http://web.archive.org/web/20220409203812/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Sat, 09 Apr 2022 20:38:12 GMT"",
<http://web.archive.org/web/20220410152025/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Sun, 10 Apr 2022 15:20:25 GMT"",
<http://web.archive.org/web/20220411164722/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Mon, 11 Apr 2022 16:47:22 GMT"",
<http://web.archive.org/web/20220413012014/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Wed, 13 Apr 2022 01:20:14 GMT"",
<http://web.archive.org/web/20220413084331/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Wed, 13 Apr 2022 08:43:31 GMT"",
<http://web.archive.org/web/20220413185335/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Wed, 13 Apr 2022 18:53:35 GMT"",
<http://web.archive.org/web/20220422121807/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Fri, 22 Apr 2022 12:18:07 GMT"",
<http://web.archive.org/web/20220424234222/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Sun, 24 Apr 2022 23:42:22 GMT"",
<http://web.archive.org/web/20220428033811/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Thu, 28 Apr 2022 03:38:11 GMT"",
<http://web.archive.org/web/20220506002511/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Fri, 06 May 2022 00:25:11 GMT"",
<http://web.archive.org/web/20220512061632/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Thu, 12 May 2022 06:16:32 GMT"",
<http://web.archive.org/web/20220512204241/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Thu, 12 May 2022 20:42:41 GMT"",
<http://web.archive.org/web/20220516073938/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Mon, 16 May 2022 07:39:38 GMT"",
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<http://web.archive.org/web/20220517210831/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Tue, 17 May 2022 21:08:31 GMT"",
<http://web.archive.org/web/20220524152533/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Tue, 24 May 2022 15:25:33 GMT"",
<http://web.archive.org/web/20220607185825/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Tue, 07 Jun 2022 18:58:25 GMT"",
<http://web.archive.org/web/20220608221157/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Wed, 08 Jun 2022 22:11:57 GMT"",
<http://web.archive.org/web/20220617022512/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Fri, 17 Jun 2022 02:25:12 GMT"",
<http://web.archive.org/web/20220617153216/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Fri, 17 Jun 2022 15:32:16 GMT"",
<http://web.archive.org/web/20220701050956/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Fri, 01 Jul 2022 05:09:56 GMT"",
<http://web.archive.org/web/20220706020524/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Wed, 06 Jul 2022 02:05:24 GMT"",
<http://web.archive.org/web/20220707042912/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Thu, 07 Jul 2022 04:29:12 GMT"",
<http://web.archive.org/web/20220807214511/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Sun, 07 Aug 2022 21:45:11 GMT"",
<http://web.archive.org/web/20220811064916/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Thu, 11 Aug 2022 06:49:16 GMT"",
<http://web.archive.org/web/20220911000403/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Sun, 11 Sep 2022 00:04:03 GMT"",
<http://web.archive.org/web/20221005183537/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Wed, 05 Oct 2022 18:35:37 GMT"",
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<http://web.archive.org/web/20221024171650/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Mon, 24 Oct 2022 17:16:50 GMT"",
<http://web.archive.org/web/20221031164543/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Mon, 31 Oct 2022 16:45:43 GMT"",
<http://web.archive.org/web/20221031220817/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Mon, 31 Oct 2022 22:08:17 GMT"",
<http://web.archive.org/web/20221107172248/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Mon, 07 Nov 2022 17:22:48 GMT"",
<http://web.archive.org/web/20221109231946/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Wed, 09 Nov 2022 23:19:46 GMT"",
<http://web.archive.org/web/20221114190311/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Mon, 14 Nov 2022 19:03:11 GMT"",
<http://web.archive.org/web/20221116204101/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Wed, 16 Nov 2022 20:41:01 GMT"",
<http://web.archive.org/web/20221121165221/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Mon, 21 Nov 2022 16:52:21 GMT"",
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<http://web.archive.org/web/20230409150509/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Sun, 09 Apr 2023 15:05:09 GMT"",
<http://web.archive.org/web/20230509173024/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Tue, 09 May 2023 17:30:24 GMT"",
<http://web.archive.org/web/20230511231611/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Thu, 11 May 2023 23:16:11 GMT"",
<http://web.archive.org/web/20230519194041/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Fri, 19 May 2023 19:40:41 GMT"",
<http://web.archive.org/web/20230524022745/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Wed, 24 May 2023 02:27:45 GMT"",
<http://web.archive.org/web/20230530012859/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Tue, 30 May 2023 01:28:59 GMT"",
<http://web.archive.org/web/20230922114807/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Fri, 22 Sep 2023 11:48:07 GMT"",
<http://web.archive.org/web/20231208161242/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Fri, 08 Dec 2023 16:12:42 GMT"",
<http://web.archive.org/web/20240215223621/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Thu, 15 Feb 2024 22:36:21 GMT"",
<http://web.archive.org/web/20240216200445/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Fri, 16 Feb 2024 20:04:45 GMT"",
<http://web.archive.org/web/20240221220306/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Wed, 21 Feb 2024 22:03:06 GMT"",
<http://web.archive.org/web/20240226142441/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Mon, 26 Feb 2024 14:24:41 GMT"",
<http://web.archive.org/web/20240510203915/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Fri, 10 May 2024 20:39:15 GMT"",
<http://web.archive.org/web/20240513163035/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Mon, 13 May 2024 16:30:35 GMT"",
<http://web.archive.org/web/20240514165743/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Tue, 14 May 2024 16:57:43 GMT"",
<http://web.archive.org/web/20240515161550/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Wed, 15 May 2024 16:15:50 GMT"",
<http://web.archive.org/web/20240517165825/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Fri, 17 May 2024 16:58:25 GMT"",
<http://web.archive.org/web/20240519060946/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Sun, 19 May 2024 06:09:46 GMT"",
<http://web.archive.org/web/20240519233132/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Sun, 19 May 2024 23:31:32 GMT"",
<http://web.archive.org/web/20240520201132/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Mon, 20 May 2024 20:11:32 GMT"",
<http://web.archive.org/web/20240522191317/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Wed, 22 May 2024 19:13:17 GMT"",
<http://web.archive.org/web/20240523034201/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Thu, 23 May 2024 03:42:01 GMT"",
<http://web.archive.org/web/20240524165555/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Fri, 24 May 2024 16:55:55 GMT"",
<http://web.archive.org/web/20240526183707/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Sun, 26 May 2024 18:37:07 GMT"",
<http://web.archive.org/web/20240528184754/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Tue, 28 May 2024 18:47:54 GMT"",
<http://web.archive.org/web/20240606214224/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Thu, 06 Jun 2024 21:42:24 GMT"",
<http://web.archive.org/web/20240611192725/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Tue, 11 Jun 2024 19:27:25 GMT"",
<http://web.archive.org/web/20240612225239/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Wed, 12 Jun 2024 22:52:39 GMT"",
<http://web.archive.org/web/20240614025628/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Fri, 14 Jun 2024 02:56:28 GMT"",
<http://web.archive.org/web/20240617203617/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Mon, 17 Jun 2024 20:36:17 GMT"",
<http://web.archive.org/web/20240618232540/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Tue, 18 Jun 2024 23:25:40 GMT"",
<http://web.archive.org/web/20240627234124/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Thu, 27 Jun 2024 23:41:24 GMT"",
<http://web.archive.org/web/20240701191757/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Mon, 01 Jul 2024 19:17:57 GMT"",
<http://web.archive.org/web/20240701224239/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Mon, 01 Jul 2024 22:42:39 GMT"",
<http://web.archive.org/web/20240703192835/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Wed, 03 Jul 2024 19:28:35 GMT"",
<http://web.archive.org/web/20240704194611/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Thu, 04 Jul 2024 19:46:11 GMT"",
<http://web.archive.org/web/20240816195536/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Fri, 16 Aug 2024 19:55:36 GMT"",
<http://web.archive.org/web/20240820030452/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Tue, 20 Aug 2024 03:04:52 GMT"",
<http://web.archive.org/web/20240822184212/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Thu, 22 Aug 2024 18:42:12 GMT"",
<http://web.archive.org/web/20240823044753/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Fri, 23 Aug 2024 04:47:53 GMT"",
<http://web.archive.org/web/20240829011521/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Thu, 29 Aug 2024 01:15:21 GMT"",
<http://web.archive.org/web/20240914205740/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Sat, 14 Sep 2024 20:57:40 GMT"",
<http://web.archive.org/web/20240919210857/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Thu, 19 Sep 2024 21:08:57 GMT"",
<http://web.archive.org/web/20240926164911/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Thu, 26 Sep 2024 16:49:11 GMT"",
<http://web.archive.org/web/20240926220827/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Thu, 26 Sep 2024 22:08:27 GMT"",
<http://web.archive.org/web/20241004021214/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Fri, 04 Oct 2024 02:12:14 GMT"",
<http://web.archive.org/web/20241117153128/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Sun, 17 Nov 2024 15:31:28 GMT"",
<http://web.archive.org/web/20241125162819/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Mon, 25 Nov 2024 16:28:19 GMT"",
<http://web.archive.org/web/20241129175252/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Fri, 29 Nov 2024 17:52:52 GMT"",
<http://web.archive.org/web/20241204214405/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Wed, 04 Dec 2024 21:44:05 GMT"",
<http://web.archive.org/web/20241211134510/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Wed, 11 Dec 2024 13:45:10 GMT"",
<http://web.archive.org/web/20241225012059/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Wed, 25 Dec 2024 01:20:59 GMT"",
<http://web.archive.org/web/20241229054200/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Sun, 29 Dec 2024 05:42:00 GMT"",
<http://web.archive.org/web/20250116103910/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Thu, 16 Jan 2025 10:39:10 GMT"",
<http://web.archive.org/web/20250118073906/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Sat, 18 Jan 2025 07:39:06 GMT"",
<http://web.archive.org/web/20250126144520/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Sun, 26 Jan 2025 14:45:20 GMT"",
<http://web.archive.org/web/20250201013649/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Sat, 01 Feb 2025 01:36:49 GMT"",
<http://web.archive.org/web/20250201211123/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Sat, 01 Feb 2025 21:11:23 GMT"",
<http://web.archive.org/web/20250202151018/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Sun, 02 Feb 2025 15:10:18 GMT"",
<http://web.archive.org/web/20250202170524/http://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Sun, 02 Feb 2025 17:05:24 GMT"",
<http://web.archive.org/web/20250207094721/https://data.cdc.gov/NCHS/Deaths-by-Sex-Ages-0-18-years/xa4b-4pzv>; rel=""memento""; datetime=""Fri, 07 Feb 2025 09:47:21 GMT""
","Cannot download the dataset using xa4b-4pzv
Try downloading using its parent id : nr4s-juj3
"
UNKN_SOC_NAME,xar7-74yx,xar7-74yx_1736716789.857459_BRFSS__Table_of_Cholesterol_Awareness_20250112.csv.gz,2025-01-12 21:19:49 UTC,,,,"No socrata dataset exists for the id : xar7-74yx
"
UNKN_SOC_NAME,xdg2-nh8n,xdg2-nh8n_1736721641.876427_Going_Smokefree_Matters_-_Casinos_Infographic_rev2019.pdf,2025-01-12 22:40:41 UTC,,,,"{'error': 'Dataset cannot be downloaded using Socrata API', 'datatype': ['file', 'blobby']}"
UNKN_SOC_NAME,xg5u-askg,xg5u-askg_1736724678.687777_DASH_YRBSS_-_Weight_Control__MS__20250112.csv.gz,2025-01-12 23:31:18 UTC,,,,"No socrata dataset exists for the id : xg5u-askg
"
UNKN_SOC_NAME,xjhz-wpxi,xjhz-wpxi_1736721504.445584_Science_Clips_20250112.csv.gz,2025-01-12 22:38:24 UTC,,,,"Cannot download the dataset using xjhz-wpxi
Try downloading using its parent id : biid-68vb
"
UNKN_SOC_NAME,xmxq-jxrr,xmxq-jxrr_1736724249.996697_Table_for_STATE_System_Current_Cigarette_Use_Among_Adults_Interactive_Map_20250112.csv.gz,2025-01-12 23:24:09 UTC,,,,"No socrata dataset exists for the id : xmxq-jxrr
"
UNKN_SOC_NAME,xnuv-rv9p,xnuv-rv9p_1736714367.873436_Behavioral_Risk_Factor_Surveillance_System__BRFSS__Prevalence_Data__2011_to_present__20250112.csv.gz,2025-01-12 20:39:27 UTC,,,,"No socrata dataset exists for the id : xnuv-rv9p
"
UNKN_SOC_NAME,y4ft-s73h,y4ft-s73h_1736714705.836726_Behavioral_Risk_Factor_Surveillance_System__BRFSS__Prevalence_Data__2010_and_prior__20250112.csv.gz,2025-01-12 20:45:05 UTC,,,,"No socrata dataset exists for the id : y4ft-s73h
"
UNKN_SOC_NAME,y77q-5ru3,y77q-5ru3_1736710089.179682_COVID-19_Vaccine_Distribution_Allocations_by_Jurisdiction_-_Pfizer_20250112.csv.gz,2025-01-12 19:28:09 UTC,,,,"Cannot download the dataset using y77q-5ru3
Try downloading using its parent id : saz5-9hgg
"
UNKN_SOC_NAME,y8jh-8x54,y8jh-8x54_1736725452.277839_DASH_-_Youth_Risk_Behavior_Surveillance_System__YRBSS___High_School_-_Excluding_Sexual_Identity_20250112.csv.gz,2025-01-12 23:44:12 UTC,,,,"No socrata dataset exists for the id : y8jh-8x54
"
UNKN_SOC_NAME,y94n-rgzt,y94n-rgzt_1736721116.871037_BRFSS__Table_of_Health_Status_20250112.csv.gz,2025-01-12 22:31:56 UTC,,,,"No socrata dataset exists for the id : y94n-rgzt
"
UNKN_SOC_NAME,ypqf-r5qs,ypqf-r5qs_1736710615.809256_Vaccine_Hesitancy_for_COVID-19__County_and_local_estimates_20250112.csv.gz,2025-01-12 19:36:55 UTC,,,,"{'error': 'Dataset cannot be downloaded using Socrata API', 'datatype': ['map', 'tabular']}"
US Census Annual Estimates of the Resident Population for Selected Age Groups by Sex for the United States,b2jx-uyck,b2jx-uyck_1736723566.508632_US_Census_Annual_Estimates_of_the_Resident_Population_for_Selected_Age_Groups_by_Sex_for_the_United_States_20250112.csv.gz,2025-01-12 23:12:46 UTC,https://data.cdc.gov/Funding/US-Census-Annual-Estimates-of-the-Resident-Populat/b2jx-uyck,"2010-2018; 2019. US Census Annual Estimates of the Resident Population for Selected Age Groups by Sex for the United States. The estimates for the 2010-2018 dataset are based on the 2010 Census and reflect changes to the April 1, 2010 population due to the Count Question Resolution program and geographic program revisions. Median age is calculated based on single year of age. The estimates for 2019 are based on a one-year dataset that was published on the US Census website in 2021. For population estimates methodology statements, see http://www.census.gov/popest/methodology/index.html.",,"{'name': 'US Census Annual Estimates of the Resident Population for Selected Age Groups by Sex for the United States', 'id': 'b2jx-uyck', 'description': '2010-2018; 2019. US Census Annual Estimates of the Resident Population for Selected Age Groups by Sex for the United States. The estimates for the 2010-2018 dataset are based on the 2010 Census and reflect changes to the April 1, 2010 population due to the Count Question Resolution program and geographic program revisions. Median age is calculated based on single year of age. The estimates for 2019 are based on a one-year dataset that was published on the US Census website in 2021. For population estimates methodology statements, see http://www.census.gov/popest/methodology/index.html.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Funding/US-Census-Annual-Estimates-of-the-Resident-Populat/b2jx-uyck'}"
United States COVID-19 Community Levels by County,3nnm-4jni,3nnm-4jni_1736707189.520828_United_States_COVID-19_Community_Levels_by_County_20250112.csv.gz,2025-01-12 18:39:49 UTC,https://data.cdc.gov/Public-Health-Surveillance/United-States-COVID-19-Community-Levels-by-County/3nnm-4jni,"Reporting of Aggregate Case and Death Count data was discontinued May 11, 2023, with the expiration of the COVID-19 public health emergency declaration. Although these data will continue to be publicly available, this dataset will no longer be updated.

This archived public use dataset has 11 data elements reflecting United States COVID-19 community levels for all available counties. 

The COVID-19 community levels were developed using a combination of three metrics — new COVID-19 admissions per 100,000 population in the past 7 days, the percent of staffed inpatient beds occupied by COVID-19 patients, and total new COVID-19 cases per 100,000 population in the past 7 days. The COVID-19 community level was determined by the higher of the new admissions and inpatient beds metrics, based on the current level of new cases per 100,000 population in the past 7 days. New COVID-19 admissions and the percent of staffed inpatient beds occupied represent the current potential for strain on the health system. Data on new cases acts as an early warning indicator of potential increases in health system strain in the event of a COVID-19 surge.

Using these data, the COVID-19 community level was classified as low, medium, or high.

COVID-19 Community Levels were used to help communities and individuals make decisions based on their local context and their unique needs. Community vaccination coverage and other local information, like early alerts from surveillance, such as through wastewater or the number of emergency department visits for COVID-19, when available, can also inform decision making for health officials and individuals.

For the most accurate and up-to-date data for any county or state, visit the relevant health department website. COVID Data Tracker may display data that differ from state and local websites. This can be due to differences in how data were collected, how metrics were calculated, or the timing of web updates.

<b>Archived Data Notes:</b>

This dataset was renamed from ""United States COVID-19 Community Levels by County as Originally Posted"" to ""United States COVID-19 Community Levels by County"" on March 31, 2022. 

<b>March 31, 2022:</b> Column name for county population was changed to “county_population”. No change was made to the data points previous released.

<b>March 31, 2022:</b> New column, “health_service_area_population”, was added to the dataset to denote the total population in the designated Health Service Area based on 2019 Census estimate. 

<b>March 31, 2022:</b> FIPS codes for territories American Samoa, Guam, Commonwealth of the Northern Mariana Islands, and United States Virgin Islands were re-formatted to 5-digit numeric for records released on 3/3/2022 to be consistent with other records in the dataset.

<b>March 31, 2022:</b> Changes were made to the text fields in variables “county”, “state”, and “health_service_area” so the formats are consistent across releases.

<b>March 31, 2022:</b> The “%” sign was removed from the text field in column “covid_inpatient_bed_utilization”. No change was made to the data. As indicated in the column description, values in this column represent the percentage of staffed inpatient beds occupied by COVID-19 patients (7-day average).  

<b>March 31, 2022:</b> Data values for columns, “county_population”, “health_service_area_number”, and “health_service_area” were backfilled for records released on 2/24/2022. These columns were added since the week of 3/3/2022, thus the values were previously missing for records released the week prior.

<b>April 7, 2022:</b> Updates made to data released on 3/24/2022 for Guam, Commonwealth of the Northern Mariana Islands, and United States Virgin Islands to correct a data mapping error.

<b>April 21, 2022:</b> COVID-19 Community Level (CCL) data released for counties in Nebraska for the week of April 21, 2022 have 3 counties identified in the high category and 37 in the medium category. CDC has been working with state officials t","<https://data.cdc.gov/Public-Health-Surveillance/United-States-COVID-19-Community-Levels-by-County/3nnm-4jni>; rel=""original"",
<http://web.archive.org/web/timemap/link/https://data.cdc.gov/Public-Health-Surveillance/United-States-COVID-19-Community-Levels-by-County/3nnm-4jni>; rel=""self""; type=""application/link-format""; from=""Fri, 01 Apr 2022 14:48:04 GMT"",
<http://web.archive.org/web/https://data.cdc.gov/Public-Health-Surveillance/United-States-COVID-19-Community-Levels-by-County/3nnm-4jni>; rel=""timegate"",
<http://web.archive.org/web/20220401144804/https://data.cdc.gov/Public-Health-Surveillance/United-States-COVID-19-Community-Levels-by-County/3nnm-4jni>; rel=""first memento""; datetime=""Fri, 01 Apr 2022 14:48:04 GMT"",
<http://web.archive.org/web/20220402112523/https://data.cdc.gov/Public-Health-Surveillance/United-States-COVID-19-Community-Levels-by-County/3nnm-4jni>; rel=""memento""; datetime=""Sat, 02 Apr 2022 11:25:23 GMT"",
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<http://web.archive.org/web/20220409075352/https://data.cdc.gov/Public-Health-Surveillance/United-States-COVID-19-Community-Levels-by-County/3nnm-4jni>; rel=""memento""; datetime=""Sat, 09 Apr 2022 07:53:52 GMT"",
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<http://web.archive.org/web/20230223190828/https://data.cdc.gov/Public-Health-Surveillance/United-States-COVID-19-Community-Levels-by-County/3nnm-4jni>; rel=""memento""; datetime=""Thu, 23 Feb 2023 19:08:28 GMT"",
<http://web.archive.org/web/20230224181510/https://data.cdc.gov/Public-Health-Surveillance/United-States-COVID-19-Community-Levels-by-County/3nnm-4jni>; rel=""memento""; datetime=""Fri, 24 Feb 2023 18:15:10 GMT"",
<http://web.archive.org/web/20230225191600/https://data.cdc.gov/Public-Health-Surveillance/United-States-COVID-19-Community-Levels-by-County/3nnm-4jni>; rel=""memento""; datetime=""Sat, 25 Feb 2023 19:16:00 GMT"",
<http://web.archive.org/web/20230226193147/https://data.cdc.gov/Public-Health-Surveillance/United-States-COVID-19-Community-Levels-by-County/3nnm-4jni>; rel=""memento""; datetime=""Sun, 26 Feb 2023 19:31:47 GMT"",
<http://web.archive.org/web/20230227204348/https://data.cdc.gov/Public-Health-Surveillance/United-States-COVID-19-Community-Levels-by-County/3nnm-4jni>; rel=""memento""; datetime=""Mon, 27 Feb 2023 20:43:48 GMT"",
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<http://web.archive.org/web/20230316085408/https://data.cdc.gov/Public-Health-Surveillance/United-States-COVID-19-Community-Levels-by-County/3nnm-4jni>; rel=""memento""; datetime=""Thu, 16 Mar 2023 08:54:08 GMT"",
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<http://web.archive.org/web/20230412205433/https://data.cdc.gov/Public-Health-Surveillance/United-States-COVID-19-Community-Levels-by-County/3nnm-4jni>; rel=""memento""; datetime=""Wed, 12 Apr 2023 20:54:33 GMT"",
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","{'name': 'United States COVID-19 Community Levels by County', 'id': '3nnm-4jni', 'description': 'Reporting of Aggregate Case and Death Count data was discontinued May 11, 2023, with the expiration of the COVID-19 public health emergency declaration. Although these data will continue to be publicly available, this dataset will no longer be updated.\n\nThis archived public use dataset has 11 data elements reflecting United States COVID-19 community levels for all available counties. \n\nThe COVID-19 community levels were developed using a combination of three metrics — new COVID-19 admissions per 100,000 population in the past 7 days, the percent of staffed inpatient beds occupied by COVID-19 patients, and total new COVID-19 cases per 100,000 population in the past 7 days. The COVID-19 community level was determined by the higher of the new admissions and inpatient beds metrics, based on the current level of new cases per 100,000 population in the past 7 days. New COVID-19 admissions and the percent of staffed inpatient beds occupied represent the current potential for strain on the health system. Data on new cases acts as an early warning indicator of potential increases in health system strain in the event of a COVID-19 surge.\n\nUsing these data, the COVID-19 community level was classified as low, medium, or high.\n\nCOVID-19 Community Levels were used to help communities and individuals make decisions based on their local context and their unique needs. Community vaccination coverage and other local information, like early alerts from surveillance, such as through wastewater or the number of emergency department visits for COVID-19, when available, can also inform decision making for health officials and individuals.\n\nFor the most accurate and up-to-date data for any county or state, visit the relevant health department website. COVID Data Tracker may display data that differ from state and local websites. This can be due to differences in how data were collected, how metrics were calculated, or the timing of web updates.\n\n<b>Archived Data Notes:</b>\n\nThis dataset was renamed from ""United States COVID-19 Community Levels by County as Originally Posted"" to ""United States COVID-19 Community Levels by County"" on March 31, 2022. \n\n<b>March 31, 2022:</b> Column name for county population was changed to “county_population”. No change was made to the data points previous released.\n\n<b>March 31, 2022:</b> New column, “health_service_area_population”, was added to the dataset to denote the total population in the designated Health Service Area based on 2019 Census estimate. \n\n<b>March 31, 2022:</b> FIPS codes for territories American Samoa, Guam, Commonwealth of the Northern Mariana Islands, and United States Virgin Islands were re-formatted to 5-digit numeric for records released on 3/3/2022 to be consistent with other records in the dataset.\n\n<b>March 31, 2022:</b> Changes were made to the text fields in variables “county”, “state”, and “health_service_area” so the formats are consistent across releases.\n\n<b>March 31, 2022:</b> The “%” sign was removed from the text field in column “covid_inpatient_bed_utilization”. No change was made to the data. As indicated in the column description, values in this column represent the percentage of staffed inpatient beds occupied by COVID-19 patients (7-day average).  \n\n<b>March 31, 2022:</b> Data values for columns, “county_population”, “health_service_area_number”, and “health_service_area” were backfilled for records released on 2/24/2022. These columns were added since the week of 3/3/2022, thus the values were previously missing for records released the week prior.\n\n<b>April 7, 2022:</b> Updates made to data released on 3/24/2022 for Guam, Commonwealth of the Northern Mariana Islands, and United States Virgin Islands to correct a data mapping error.\n\n<b>April 21, 2022:</b> COVID-19 Community Level (CCL) data released for counties in Nebraska for the week of April 21, 2022 have 3 counties identified in the high category and 37 in the medium category. CDC has been working with state officials t', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/United-States-COVID-19-Community-Levels-by-County/3nnm-4jni'}"
United States COVID-19 County Level Data Sources - ARCHIVED,7pvw-pdbr,7pvw-pdbr_1736709084.028429_United_States_COVID-19_County_Level_Data_Sources_-_ARCHIVED_20250112.csv.gz,2025-01-12 19:11:24 UTC,https://data.cdc.gov/Public-Health-Surveillance/United-States-COVID-19-County-Level-Data-Sources-A/7pvw-pdbr,"The Public Health Emergency (PHE) declaration for COVID-19 expired on May 11, 2023. As a result, the Aggregate Case and Death Surveillance System will be discontinued. Although these data will continue to be publicly available, this dataset will no longer be updated.

On October 20, 2022, CDC began retrieving aggregate case and death data from jurisdictional and state partners weekly instead of daily. 

This dataset includes the URLs that were used by the aggregate county data collection process that compiled aggregate case and death counts by county. Within this file, each of the states (plus select jurisdictions and territories) are listed along with the county web sources which were used for pulling these numbers. Some states had a single statewide source for collecting the county data, while other states and local health jurisdictions may have had standalone sources for individual counties. In the cases where both local and state web sources were listed, a composite approach was taken so that the maximum value reported for a location from either source was used. The initial raw data were sourced from these links and ingested into the CDC aggregate county dataset before being published on the COVID Data Tracker.",,"{'name': 'United States COVID-19 County Level Data Sources - ARCHIVED', 'id': '7pvw-pdbr', 'description': 'The Public Health Emergency (PHE) declaration for COVID-19 expired on May 11, 2023. As a result, the Aggregate Case and Death Surveillance System will be discontinued. Although these data will continue to be publicly available, this dataset will no longer be updated.\n\nOn October 20, 2022, CDC began retrieving aggregate case and death data from jurisdictional and state partners weekly instead of daily. \n\nThis dataset includes the URLs that were used by the aggregate county data collection process that compiled aggregate case and death counts by county. Within this file, each of the states (plus select jurisdictions and territories) are listed along with the county web sources which were used for pulling these numbers. Some states had a single statewide source for collecting the county data, while other states and local health jurisdictions may have had standalone sources for individual counties. In the cases where both local and state web sources were listed, a composite approach was taken so that the maximum value reported for a location from either source was used. The initial raw data were sourced from these links and ingested into the CDC aggregate county dataset before being published on the COVID Data Tracker.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/United-States-COVID-19-County-Level-Data-Sources-A/7pvw-pdbr'}"
United States COVID-19 County Level of Community Transmission Historical Changes - ARCHIVED,nra9-vzzn,nra9-vzzn_1736708824.819553_United_States_COVID-19_County_Level_of_Community_Transmission_Historical_Changes_-_ARCHIVED_20250112.csv.gz,2025-01-12 19:07:04 UTC,https://data.cdc.gov/Public-Health-Surveillance/United-States-COVID-19-County-Level-of-Community-T/nra9-vzzn,"On October 20, 2022, CDC began retrieving aggregate case and death data from jurisdictional and state partners weekly instead of daily. This dataset contains archived historical community transmission and related data elements by county. Although these data will continue to be publicly available, this dataset has not been updated since October 20, 2022. An archived dataset containing weekly historical community transmission data by county can also be found here: <a href=""https://data.cdc.gov/Public-Health-Surveillance/Weekly-COVID-19-County-Level-of-Community-Transmis/jgk8-6dpn"">Weekly COVID-19 County Level of Community Transmission Historical Changes | Data | Centers for Disease Control and Prevention (cdc.gov)</a>. 

<b>Related data</b>
CDC has been providing the public with two versions of COVID-19 county-level community transmission level data: this historical dataset with the daily county-level transmission data from January 22, 2020, and a dataset with the daily values as originally posted on the COVID Data Tracker. Similar to this dataset, the <a href=""https://data.cdc.gov/Public-Health-Surveillance/United-States-COVID-19-County-Level-of-Community-T/nra9-vzzn"">original dataset</a> with daily data as posted is archived on 10/20/2022. It will continue to be publicly available but will no longer be updated. A new dataset containing community transmission data by county as originally posted is now published weekly and can be found at: <a href=""https://data.cdc.gov/dataset/Weekly-COVID-19-County-Level-of-Community-Transmis/dt66-w6m6"">Weekly COVID-19 County Level of Community Transmission as Originally Posted | Data | Centers for Disease Control and Prevention (cdc.gov)</a>.

This public use dataset has 7 data elements reflecting historical data for community transmission levels for all available counties and jurisdictions. It contains historical data for the county level of community transmission and includes updated data submitted by states and jurisdictions. Each day, the dataset was updated to include the most recent days’ data and incorporate any historical changes made by jurisdictions. This dataset includes data since January 22, 2020. Transmission level is set to low, moderate, substantial, or high using the calculation rules below.

<b>Methods for calculating county level of community transmission indicator</b>
The County Level of Community Transmission indicator uses two metrics: (1) total new COVID-19 cases per 100,000 persons in the last 7 days and (2) percentage of positive SARS-CoV-2 diagnostic nucleic acid amplification tests (NAAT) in the last 7 days. For each of these metrics, CDC classifies transmission values as low, moderate, substantial, or high (below and <a href=""https://www.cdc.gov/mmwr/volumes/70/wr/mm7030e2.htm?s_cid=mm7030e2_w#T1_down"">here</a>). If the values for each of these two metrics differ (e.g., one indicates moderate and the other low), then the higher of the two should be used for decision-making.

<b>CDC core metrics of and thresholds for community transmission levels of SARS-CoV-2</b>

<b>Total New Case Rate Metric:</b> ""New cases per 100,000 persons in the past 7 days"" is calculated by adding the number of new cases in the county (or other administrative level) in the last 7 days divided by the population in the county (or other administrative level) and multiplying by 100,000. ""New cases per 100,000 persons in the past 7 days"" is considered to have transmission level of Low (0-9.99); Moderate (10.00-49.99); Substantial (50.00-99.99); and High (greater than or equal to 100.00).

<b>Test Percent Positivity Metric:</b> ""Percentage of positive NAAT in the past 7 days"" is calculated by dividing the number of positive tests in the county (or other administrative level) during the last 7 days by the total number of tests resulted over the last 7 days. ""Percentage of positive NAAT in the past 7 days"" is considered to have transmission level of Low (less than 5.00); Moderate (5.00-7.99); Substa",,"{'name': 'United States COVID-19 County Level of Community Transmission Historical Changes - ARCHIVED', 'id': 'nra9-vzzn', 'description': 'On October 20, 2022, CDC began retrieving aggregate case and death data from jurisdictional and state partners weekly instead of daily. This dataset contains archived historical community transmission and related data elements by county. Although these data will continue to be publicly available, this dataset has not been updated since October 20, 2022. An archived dataset containing weekly historical community transmission data by county can also be found here: <a href=""https://data.cdc.gov/Public-Health-Surveillance/Weekly-COVID-19-County-Level-of-Community-Transmis/jgk8-6dpn"">Weekly COVID-19 County Level of Community Transmission Historical Changes | Data | Centers for Disease Control and Prevention (cdc.gov)</a>. \n\n<b>Related data</b>\nCDC has been providing the public with two versions of COVID-19 county-level community transmission level data: this historical dataset with the daily county-level transmission data from January 22, 2020, and a dataset with the daily values as originally posted on the COVID Data Tracker. Similar to this dataset, the <a href=""https://data.cdc.gov/Public-Health-Surveillance/United-States-COVID-19-County-Level-of-Community-T/nra9-vzzn"">original dataset</a> with daily data as posted is archived on 10/20/2022. It will continue to be publicly available but will no longer be updated. A new dataset containing community transmission data by county as originally posted is now published weekly and can be found at: <a href=""https://data.cdc.gov/dataset/Weekly-COVID-19-County-Level-of-Community-Transmis/dt66-w6m6"">Weekly COVID-19 County Level of Community Transmission as Originally Posted | Data | Centers for Disease Control and Prevention (cdc.gov)</a>.\n\nThis public use dataset has 7 data elements reflecting historical data for community transmission levels for all available counties and jurisdictions. It contains historical data for the county level of community transmission and includes updated data submitted by states and jurisdictions. Each day, the dataset was updated to include the most recent days’ data and incorporate any historical changes made by jurisdictions. This dataset includes data since January 22, 2020. Transmission level is set to low, moderate, substantial, or high using the calculation rules below.\n\n<b>Methods for calculating county level of community transmission indicator</b>\nThe County Level of Community Transmission indicator uses two metrics: (1) total new COVID-19 cases per 100,000 persons in the last 7 days and (2) percentage of positive SARS-CoV-2 diagnostic nucleic acid amplification tests (NAAT) in the last 7 days. For each of these metrics, CDC classifies transmission values as low, moderate, substantial, or high (below and <a href=""https://www.cdc.gov/mmwr/volumes/70/wr/mm7030e2.htm?s_cid=mm7030e2_w#T1_down"">here</a>). If the values for each of these two metrics differ (e.g., one indicates moderate and the other low), then the higher of the two should be used for decision-making.\n\n<b>CDC core metrics of and thresholds for community transmission levels of SARS-CoV-2</b>\n\n<b>Total New Case Rate Metric:</b> ""New cases per 100,000 persons in the past 7 days"" is calculated by adding the number of new cases in the county (or other administrative level) in the last 7 days divided by the population in the county (or other administrative level) and multiplying by 100,000. ""New cases per 100,000 persons in the past 7 days"" is considered to have transmission level of Low (0-9.99); Moderate (10.00-49.99); Substantial (50.00-99.99); and High (greater than or equal to 100.00).\n\n<b>Test Percent Positivity Metric:</b> ""Percentage of positive NAAT in the past 7 days"" is calculated by dividing the number of positive tests in the county (or other administrative level) during the last 7 days by the total number of tests resulted over the last 7 days. ""Percentage of positive NAAT in the past 7 days"" is considered to have transmission level of Low (less than 5.00); Moderate (5.00-7.99); Substa', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/United-States-COVID-19-County-Level-of-Community-T/nra9-vzzn'}"
United States COVID-19 County Level of Community Transmission as Originally Posted - ARCHIVED,8396-v7yb,8396-v7yb_1736708011.801653_United_States_COVID-19_County_Level_of_Community_Transmission_as_Originally_Posted_-_ARCHIVED_20250112.csv.gz,2025-01-12 18:53:31 UTC,https://data.cdc.gov/Public-Health-Surveillance/United-States-COVID-19-County-Level-of-Community-T/8396-v7yb,"On October 20, 2022, CDC began retrieving aggregate case and death data from jurisdictional and state partners weekly instead of daily. This dataset contains archived community transmission and related data elements by county as originally displayed on the COVID Data Tracker. Although these data will continue to be publicly available, this dataset has not been updated since October 20, 2022. An archived dataset containing weekly community transmission data by county as originally posted can also be found here: <a href=""https://data.cdc.gov/Public-Health-Surveillance/Weekly-COVID-19-County-Level-of-Community-Transmis/dt66-w6m6"">Weekly COVID-19 County Level of Community Transmission as Originally Posted | Data | Centers for Disease Control and Prevention (cdc.gov)</a>. 

<b>Related data</b>
CDC has been providing the public with two versions of COVID-19 county-level community transmission level data: this dataset with the daily values as originally posted on the COVID Data Tracker, and an historical dataset with daily data as well as the updates and corrections from state and local health departments. Similar to this dataset, the <a href=""https://data.cdc.gov/Public-Health-Surveillance/United-States-COVID-19-County-Level-of-Community-T/nra9-vzzn"">original historical dataset</a> is archived on 10/20/2022. It will continue to be publicly available but will no longer be updated. A new dataset containing historical community transmission data by county is now published weekly and can be found at: <a href=""https://data.cdc.gov/dataset/Weekly-COVID-19-County-Level-of-Community-Transmis/jgk8-6dpn"">Weekly COVID-19 County Level of Community Transmission Historical Changes | Data | Centers for Disease Control and Prevention (cdc.gov)</a>.

This public use dataset has 7 data elements reflecting community transmission levels for all available counties and jurisdictions. It contains reported daily transmission levels at the county level with the same values used to display transmission maps on the COVID Data Tracker. Each day, the dataset is appended to contain the most recent day's data. Transmission level is set to low, moderate, substantial, or high using the calculation rules below.

<b>Methods for calculating county level of community transmission indicator</b>
The County Level of Community Transmission indicator uses two metrics: (1) total new COVID-19 cases per 100,000 persons in the last 7 days and (2) percentage of positive SARS-CoV-2 diagnostic nucleic acid amplification tests (NAAT) in the last 7 days. For each of these metrics, CDC classifies transmission values as low, moderate, substantial, or high (below and <a href=""https://www.cdc.gov/mmwr/volumes/70/wr/mm7030e2.htm?s_cid=mm7030e2_w#T1_down"">here</a>). If the values for each of these two metrics differ (e.g., one indicates moderate and the other low), then the higher of the two should be used for decision-making.

<b>CDC core metrics of and thresholds for community transmission levels of SARS-CoV-2</b>

<b>Total New Case Rate Metric:</b> ""New cases per 100,000 persons in the past 7 days"" is calculated by adding the number of new cases in the county (or other administrative level) in the last 7 days divided by the population in the county (or other administrative level) and multiplying by 100,000. ""New cases per 100,000 persons in the past 7 days"" is considered to have a transmission level of Low (0-9.99); Moderate (10.00-49.99); Substantial (50.00-99.99); and High (greater than or equal to 100.00).

<b>Test Percent Positivity Metric:</b> ""Percentage of positive NAAT in the past 7 days"" is calculated by dividing the number of positive tests in the county (or other administrative level) during the last 7 days by the total number of tests conducted over the last 7 days. ""Percentage of positive NAAT in the past 7 days"" is considered to have a transmission level of Low (less than 5.00); Moderate (5.00-7.99); Substantial (8.00-9.99); and High (greater than or equal to 10.00).

If",,"{'name': 'United States COVID-19 County Level of Community Transmission as Originally Posted - ARCHIVED', 'id': '8396-v7yb', 'description': 'On October 20, 2022, CDC began retrieving aggregate case and death data from jurisdictional and state partners weekly instead of daily. This dataset contains archived community transmission and related data elements by county as originally displayed on the COVID Data Tracker. Although these data will continue to be publicly available, this dataset has not been updated since October 20, 2022. An archived dataset containing weekly community transmission data by county as originally posted can also be found here: <a href=""https://data.cdc.gov/Public-Health-Surveillance/Weekly-COVID-19-County-Level-of-Community-Transmis/dt66-w6m6"">Weekly COVID-19 County Level of Community Transmission as Originally Posted | Data | Centers for Disease Control and Prevention (cdc.gov)</a>. \n\n<b>Related data</b>\nCDC has been providing the public with two versions of COVID-19 county-level community transmission level data: this dataset with the daily values as originally posted on the COVID Data Tracker, and an historical dataset with daily data as well as the updates and corrections from state and local health departments. Similar to this dataset, the <a href=""https://data.cdc.gov/Public-Health-Surveillance/United-States-COVID-19-County-Level-of-Community-T/nra9-vzzn"">original historical dataset</a> is archived on 10/20/2022. It will continue to be publicly available but will no longer be updated. A new dataset containing historical community transmission data by county is now published weekly and can be found at: <a href=""https://data.cdc.gov/dataset/Weekly-COVID-19-County-Level-of-Community-Transmis/jgk8-6dpn"">Weekly COVID-19 County Level of Community Transmission Historical Changes | Data | Centers for Disease Control and Prevention (cdc.gov)</a>.\n\nThis public use dataset has 7 data elements reflecting community transmission levels for all available counties and jurisdictions. It contains reported daily transmission levels at the county level with the same values used to display transmission maps on the COVID Data Tracker. Each day, the dataset is appended to contain the most recent day\'s data. Transmission level is set to low, moderate, substantial, or high using the calculation rules below.\n\n<b>Methods for calculating county level of community transmission indicator</b>\nThe County Level of Community Transmission indicator uses two metrics: (1) total new COVID-19 cases per 100,000 persons in the last 7 days and (2) percentage of positive SARS-CoV-2 diagnostic nucleic acid amplification tests (NAAT) in the last 7 days. For each of these metrics, CDC classifies transmission values as low, moderate, substantial, or high (below and <a href=""https://www.cdc.gov/mmwr/volumes/70/wr/mm7030e2.htm?s_cid=mm7030e2_w#T1_down"">here</a>). If the values for each of these two metrics differ (e.g., one indicates moderate and the other low), then the higher of the two should be used for decision-making.\n\n<b>CDC core metrics of and thresholds for community transmission levels of SARS-CoV-2</b>\n\n<b>Total New Case Rate Metric:</b> ""New cases per 100,000 persons in the past 7 days"" is calculated by adding the number of new cases in the county (or other administrative level) in the last 7 days divided by the population in the county (or other administrative level) and multiplying by 100,000. ""New cases per 100,000 persons in the past 7 days"" is considered to have a transmission level of Low (0-9.99); Moderate (10.00-49.99); Substantial (50.00-99.99); and High (greater than or equal to 100.00).\n\n<b>Test Percent Positivity Metric:</b> ""Percentage of positive NAAT in the past 7 days"" is calculated by dividing the number of positive tests in the county (or other administrative level) during the last 7 days by the total number of tests conducted over the last 7 days. ""Percentage of positive NAAT in the past 7 days"" is considered to have a transmission level of Low (less than 5.00); Moderate (5.00-7.99); Substantial (8.00-9.99); and High (greater than or equal to 10.00).\n\nIf', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/United-States-COVID-19-County-Level-of-Community-T/8396-v7yb'}"
"United States COVID-19 Hospitalization Metrics by Jurisdiction, Timeseries – ARCHIVED",39z2-9zu6,39z2-9zu6_1736722760.954645_United_States_COVID-19_Hospitalization_Metrics_by_Jurisdiction__Timeseries___ARCHIVED_20250112.csv.gz,2025-01-12 22:59:20 UTC,https://data.cdc.gov/Public-Health-Surveillance/United-States-COVID-19-Hospitalization-Metrics-by-/39z2-9zu6,"<b>Note:</b> After May 3, 2024, this dataset will no longer be updated because hospitals are no longer required to report data on COVID-19 hospital admissions, and hospital capacity and occupancy data, to HHS through CDC’s National Healthcare Safety Network. The related CDC COVID Data Tracker site was revised or retired on May 10, 2023.

This dataset represents daily COVID-19 hospitalization data and metrics aggregated to national, state/territory, and regional levels. COVID-19 hospitalization data are reported to CDC’s National Healthcare Safety Network, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN and included in this dataset represent aggregated counts and include metrics capturing information specific to COVID-19 hospital admissions, and inpatient and ICU bed capacity occupancy.

<b>Reporting information:</b><ul><li>As of December 15, 2022, COVID-19 hospital data are required to be reported to NHSN, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN represent aggregated counts and include metrics capturing information specific to hospital capacity, occupancy, hospitalizations, and admissions. Prior to December 15, 2022, hospitals reported data directly to the U.S. Department of Health and Human Services (HHS) or via a state submission for collection in the HHS Unified Hospital Data Surveillance System (UHDSS).</li><li>While CDC reviews these data for errors and corrects those found, some reporting errors might still exist within the data. To minimize errors and inconsistencies in data reported, CDC removes outliers before calculating the metrics. CDC and partners work with reporters to correct these errors and update the data in subsequent weeks.</li><li>Many hospital subtypes, including acute care and critical access hospitals, as well as Veterans Administration, Defense Health Agency, and Indian Health Service hospitals, are included in the metric calculations provided in this report. Psychiatric, rehabilitation, and religious non-medical hospital types are excluded from calculations.</li><li>Data are aggregated and displayed for hospitals with the same Centers for Medicare and Medicaid Services (CMS) Certification Number (CCN), which are assigned by CMS to counties based on the CMS Provider of Services files.</li><li>Full details on COVID-19 hospital data reporting guidance can be found here: https://www.hhs.gov/sites/default/files/covid-19-faqs-hospitals-hospital-laboratory-acute-care-facility-data-reporting.pdf</li></ul>

<b>Metric details:</b><ul><li><b>Time Period:</b> timeseries data will update weekly on Mondays as soon as they are reviewed and verified, usually before 8 pm ET. Updates will occur the following day when reporting coincides with a federal holiday. Note: Weekly updates might be delayed due to delays in reporting. All data are provisional. Because these provisional counts are subject to change, including updates to data reported previously, adjustments can occur. Data may be updated since original publication due to delays in reporting (to account for data received after a given Thursday publication) or data quality corrections.</li><li><b>New COVID-19 Hospital Admissions (count):</b> Number of new admissions of patients with laboratory-confirmed COVID-19 in the previous week (including both adult and pediatric admissions) in the entire jurisdiction.</li><li><b>New COVID-19 Hospital Admissions (7-Day Average):</b> 7-day average of new admissions of patients with laboratory-confirmed COVID-19 in the previous week (including both adult and pediatric admissions) in the entire jurisdiction.</li><li><b>Cumulative COVID-19 Hospital Admissions:</b> Cumulative total number of admissions of patients with laborat",,"{'name': 'United States COVID-19 Hospitalization Metrics by Jurisdiction, Timeseries – ARCHIVED', 'id': '39z2-9zu6', 'description': '<b>Note:</b> After May 3, 2024, this dataset will no longer be updated because hospitals are no longer required to report data on COVID-19 hospital admissions, and hospital capacity and occupancy data, to HHS through CDC’s National Healthcare Safety Network. The related CDC COVID Data Tracker site was revised or retired on May 10, 2023.\n\nThis dataset represents daily COVID-19 hospitalization data and metrics aggregated to national, state/territory, and regional levels. COVID-19 hospitalization data are reported to CDC’s National Healthcare Safety Network, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN and included in this dataset represent aggregated counts and include metrics capturing information specific to COVID-19 hospital admissions, and inpatient and ICU bed capacity occupancy.\n\n<b>Reporting information:</b><ul><li>As of December 15, 2022, COVID-19 hospital data are required to be reported to NHSN, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN represent aggregated counts and include metrics capturing information specific to hospital capacity, occupancy, hospitalizations, and admissions. Prior to December 15, 2022, hospitals reported data directly to the U.S. Department of Health and Human Services (HHS) or via a state submission for collection in the HHS Unified Hospital Data Surveillance System (UHDSS).</li><li>While CDC reviews these data for errors and corrects those found, some reporting errors might still exist within the data. To minimize errors and inconsistencies in data reported, CDC removes outliers before calculating the metrics. CDC and partners work with reporters to correct these errors and update the data in subsequent weeks.</li><li>Many hospital subtypes, including acute care and critical access hospitals, as well as Veterans Administration, Defense Health Agency, and Indian Health Service hospitals, are included in the metric calculations provided in this report. Psychiatric, rehabilitation, and religious non-medical hospital types are excluded from calculations.</li><li>Data are aggregated and displayed for hospitals with the same Centers for Medicare and Medicaid Services (CMS) Certification Number (CCN), which are assigned by CMS to counties based on the CMS Provider of Services files.</li><li>Full details on COVID-19 hospital data reporting guidance can be found here: https://www.hhs.gov/sites/default/files/covid-19-faqs-hospitals-hospital-laboratory-acute-care-facility-data-reporting.pdf</li></ul>\n\n<b>Metric details:</b><ul><li><b>Time Period:</b> timeseries data will update weekly on Mondays as soon as they are reviewed and verified, usually before 8 pm ET. Updates will occur the following day when reporting coincides with a federal holiday. Note: Weekly updates might be delayed due to delays in reporting. All data are provisional. Because these provisional counts are subject to change, including updates to data reported previously, adjustments can occur. Data may be updated since original publication due to delays in reporting (to account for data received after a given Thursday publication) or data quality corrections.</li><li><b>New COVID-19 Hospital Admissions (count):</b> Number of new admissions of patients with laboratory-confirmed COVID-19 in the previous week (including both adult and pediatric admissions) in the entire jurisdiction.</li><li><b>New COVID-19 Hospital Admissions (7-Day Average):</b> 7-day average of new admissions of patients with laboratory-confirmed COVID-19 in the previous week (including both adult and pediatric admissions) in the entire jurisdiction.</li><li><b>Cumulative COVID-19 Hospital Admissions:</b> Cumulative total number of admissions of patients with laborat', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/United-States-COVID-19-Hospitalization-Metrics-by-/39z2-9zu6'}"
"United States Drought Monitor, 2000-2016",spsk-9jj6,spsk-9jj6_1736721522.824561_United_States_Drought_Monitor__2000-2016_20250112.csv.gz,2025-01-12 22:38:42 UTC,https://data.cdc.gov/Environmental-Health-Toxicology/United-States-Drought-Monitor-2000-2016/spsk-9jj6,"This dataset provides data at the county level for the contiguous United States. It includes weekly United States Drought Monitor (USDM) data from 2000-2016 provided by the Cooperative Institute for Climate and Satellites - North Carolina. Please refer to the metadata attachment for more information.

These data are used by the CDC's National Environmental Public Health Tracking Network to generate drought measures. Learn more about drought on the Tracking Network's website: https://ephtracking.cdc.gov/showDroughtLanding.

By using these data, you signify your agreement to comply with the following requirements: 
1.	Use the data for statistical reporting and analysis only. 
2.	Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals. 
3.	Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov. 
4.	Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating. 
5.	Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC. 
6.	Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking. 

Problems or Questions? 
Email trackingsupport@cdc.gov.","<https://data.cdc.gov/Environmental-Health-Toxicology/United-States-Drought-Monitor-2000-2016/spsk-9jj6>; rel=""original"",
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<http://web.archive.org/web/20210416131324/https://data.cdc.gov/Environmental-Health-Toxicology/United-States-Drought-Monitor-2000-2016/spsk-9jj6>; rel=""memento""; datetime=""Fri, 16 Apr 2021 13:13:24 GMT"",
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<http://web.archive.org/web/20220120161251/https://data.cdc.gov/Environmental-Health-Toxicology/United-States-Drought-Monitor-2000-2016/spsk-9jj6>; rel=""memento""; datetime=""Thu, 20 Jan 2022 16:12:51 GMT"",
<http://web.archive.org/web/20240927035546/https://data.cdc.gov/Environmental-Health-Toxicology/United-States-Drought-Monitor-2000-2016/spsk-9jj6>; rel=""memento""; datetime=""Fri, 27 Sep 2024 03:55:46 GMT"",
<http://web.archive.org/web/20241125051522/https://data.cdc.gov/Environmental-Health-Toxicology/United-States-Drought-Monitor-2000-2016/spsk-9jj6>; rel=""memento""; datetime=""Mon, 25 Nov 2024 05:15:22 GMT"",
<http://web.archive.org/web/20241128021517/https://data.cdc.gov/Environmental-Health-Toxicology/United-States-Drought-Monitor-2000-2016/spsk-9jj6>; rel=""memento""; datetime=""Thu, 28 Nov 2024 02:15:17 GMT"",
<http://web.archive.org/web/20250201034421/https://data.cdc.gov/Environmental-Health-Toxicology/United-States-Drought-Monitor-2000-2016/spsk-9jj6>; rel=""memento""; datetime=""Sat, 01 Feb 2025 03:44:21 GMT"",
<http://web.archive.org/web/20250201101224/https://data.cdc.gov/Environmental-Health-Toxicology/United-States-Drought-Monitor-2000-2016/spsk-9jj6>; rel=""memento""; datetime=""Sat, 01 Feb 2025 10:12:24 GMT"",
<http://web.archive.org/web/20250201211125/https://data.cdc.gov/Environmental-Health-Toxicology/United-States-Drought-Monitor-2000-2016/spsk-9jj6>; rel=""memento""; datetime=""Sat, 01 Feb 2025 21:11:25 GMT"",
<http://web.archive.org/web/20250202020900/https://data.cdc.gov/Environmental-Health-Toxicology/United-States-Drought-Monitor-2000-2016/spsk-9jj6>; rel=""memento""; datetime=""Sun, 02 Feb 2025 02:09:00 GMT"",
<http://web.archive.org/web/20250203015825/https://data.cdc.gov/Environmental-Health-Toxicology/United-States-Drought-Monitor-2000-2016/spsk-9jj6>; rel=""memento""; datetime=""Mon, 03 Feb 2025 01:58:25 GMT"",
<http://web.archive.org/web/20250208013706/https://data.cdc.gov/Environmental-Health-Toxicology/United-States-Drought-Monitor-2000-2016/spsk-9jj6>; rel=""memento""; datetime=""Sat, 08 Feb 2025 01:37:06 GMT"",
<http://web.archive.org/web/20250209040640/https://data.cdc.gov/Environmental-Health-Toxicology/United-States-Drought-Monitor-2000-2016/spsk-9jj6>; rel=""memento""; datetime=""Sun, 09 Feb 2025 04:06:40 GMT"",
<http://web.archive.org/web/20250209040645/https://data.cdc.gov/Environmental-Health-Toxicology/United-States-Drought-Monitor-2000-2016/spsk-9jj6/>; rel=""memento""; datetime=""Sun, 09 Feb 2025 04:06:45 GMT"",
<http://web.archive.org/web/20250209040708/https://data.cdc.gov/Environmental-Health-Toxicology/United-States-Drought-Monitor-2000-2016/spsk-9jj6>; rel=""memento""; datetime=""Sun, 09 Feb 2025 04:07:08 GMT""
","{'name': 'United States Drought Monitor, 2000-2016', 'id': 'spsk-9jj6', 'description': ""This dataset provides data at the county level for the contiguous United States. It includes weekly United States Drought Monitor (USDM) data from 2000-2016 provided by the Cooperative Institute for Climate and Satellites - North Carolina. Please refer to the metadata attachment for more information.\r\n\r\nThese data are used by the CDC's National Environmental Public Health Tracking Network to generate drought measures. Learn more about drought on the Tracking Network's website: https://ephtracking.cdc.gov/showDroughtLanding.\r\n\r\nBy using these data, you signify your agreement to comply with the following requirements: \r\n1.\tUse the data for statistical reporting and analysis only. \r\n2.\tDo not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals. \r\n3.\tDo not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov. \r\n4.\tDo not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating. \r\n5.\tAcknowledge, in all reports or presentations based on these data, the original source of the data and CDC. \r\n6.\tSuggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking. \r\n\r\nProblems or Questions? \r\nEmail trackingsupport@cdc.gov."", 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Environmental-Health-Toxicology/United-States-Drought-Monitor-2000-2016/spsk-9jj6'}"
University of Illinois at Chicago Health Policy Center - Funding,vw7y-v3uk,vw7y-v3uk_1736715754.488030_University_of_Illinois_at_Chicago_Health_Policy_Center_-_Funding_20250112.csv.gz,2025-01-12 21:02:34 UTC,https://data.cdc.gov/Funding/University-of-Illinois-at-Chicago-Health-Policy-Ce/vw7y-v3uk,"1991-2016. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System.  Funding Data, Appropriations (1991-2016) and Expenditures (2008-2016).  Appropriations data show public funds allocated to/by a particular state for tobacco prevention and control.  They are not necessarily expended.  Appropriations are from four major funding sources, Federal, state, Robert Wood Johnson Foundation (RWJF), and the American Legacy Foundation (Legacy).  Expenditures are amounts spent by state tobacco control programs on tobacco prevention and control.  Expenditure data are available by CDC Best Practices Program Components (State and Community Interventions, Health Communication Interventions, Cessation Interventions, Surveillance and Evaluation, and Administration and Management). Expenditures from 2008 to 2014 are compared against 2007 CDC Best Practices Recommendations; expenditures from 2015 and forward are compared against 2014 CDC Best Practices Recommendations.",,"{'name': 'University of Illinois at Chicago Health Policy Center - Funding', 'id': 'vw7y-v3uk', 'description': '1991-2016. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System.  Funding Data, Appropriations (1991-2016) and Expenditures (2008-2016).  Appropriations data show public funds allocated to/by a particular state for tobacco prevention and control.  They are not necessarily expended.  Appropriations are from four major funding sources, Federal, state, Robert Wood Johnson Foundation (RWJF), and the American Legacy Foundation (Legacy).  Expenditures are amounts spent by state tobacco control programs on tobacco prevention and control.  Expenditure data are available by CDC Best Practices Program Components (State and Community Interventions, Health Communication Interventions, Cessation Interventions, Surveillance and Evaluation, and Administration and Management). Expenditures from 2008 to 2014 are compared against 2007 CDC Best Practices Recommendations; expenditures from 2015 and forward are compared against 2014 CDC Best Practices Recommendations.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Funding/University-of-Illinois-at-Chicago-Health-Policy-Ce/vw7y-v3uk'}"
Urban-Rural Related Disparities in Cigarette Smoking Among Adults,2574-2pzg,2574-2pzg_1736738845.143273_Urban-Rural_Related_Disparities_in_Cigarette_Smoking_Among_Adults_20250113.csv.gz,2025-01-13 03:27:25 UTC,https://data.cdc.gov/Survey-Data/Urban-Rural-Related-Disparities-in-Cigarette-Smoki/2574-2pzg,"2011–2023. The tobacco disparities dashboard data utilized the Behavioral Risk Factor Surveillance System (BRFSS) data to measure cigarette smoking disparities by urban-rural status. The disparity value is the relative difference in the cigarette smoking prevalence among adults 18 and older in a focus group divided by the cigarette smoking prevalence among adults 18 and older in a reference group. A disparity value above 1 indicates that adults in the focus group smoke cigarettes at a higher rate, as reflected by the disparity value, compared with the rate among adults in the reference group who smoke cigarettes. A disparity value below 1 indicates that adults in the focus group smoke cigarettes at a lower rate, as reflected by the disparity value, compared with the rate among adults in the reference group who smoke cigarettes. A disparity value of 1 means there is no relative difference in the rate of adults who smoke cigarettes for the two groups compared.",,"{'name': 'Urban-Rural Related Disparities in Cigarette Smoking Among Adults', 'id': '2574-2pzg', 'description': '2011–2023. The tobacco disparities dashboard data utilized the Behavioral Risk Factor Surveillance System (BRFSS) data to measure cigarette smoking disparities by urban-rural status. The disparity value is the relative difference in the cigarette smoking prevalence among adults 18 and older in a focus group divided by the cigarette smoking prevalence among adults 18 and older in a reference group. A disparity value above 1 indicates that adults in the focus group smoke cigarettes at a higher rate, as reflected by the disparity value, compared with the rate among adults in the reference group who smoke cigarettes. A disparity value below 1 indicates that adults in the focus group smoke cigarettes at a lower rate, as reflected by the disparity value, compared with the rate among adults in the reference group who smoke cigarettes. A disparity value of 1 means there is no relative difference in the rate of adults who smoke cigarettes for the two groups compared.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Survey-Data/Urban-Rural-Related-Disparities-in-Cigarette-Smoki/2574-2pzg'}"
"VSRR - State and National Provisional Counts for Live Births, Deaths, and Infant Deaths",hmz2-vwda,hmz2-vwda_1736709128.474237_VSRR_-_State_and_National_Provisional_Counts_for_Live_Births__Deaths__and_Infant_Deaths_20250112.csv.gz,2025-01-12 19:12:08 UTC,https://data.cdc.gov/NCHS/VSRR-State-and-National-Provisional-Counts-for-Liv/hmz2-vwda,"NOTES: Figures include all revisions received from the states and, therefore, may differ from those previously published. Data are provisional and are subject to monthly reporting variation. National data are calculated by summing the number of events reported by state of residence; counts are rounded to the nearest thousand (births and deaths) or hundred (infant deaths). Provisional counts may differ by approximately 2% from final counts, due to rounding and reporting variation. Additionally, the accuracy of the provisional counts may change over time. Data are estimates by state of residence. For discussion of the nature, source, and limitations of the data, see ""Technical Notes"" of the report, Births, Marriages, Divorces, and Deaths: Provisional Data for 2009. Available from URL: http://www.cdc.gov/nchs/data/nvsr/nvsr58/nvsr58_25.htm. Final counts of births, deaths, and infant deaths for previous years can be obtained from http://wonder.cdc.gov.

SOURCE: Provisional data from the National Vital Statistics System, National Center for Health Statistics, CDC.",,"{'name': 'VSRR - State and National Provisional Counts for Live Births, Deaths, and Infant Deaths', 'id': 'hmz2-vwda', 'description': 'NOTES: Figures include all revisions received from the states and, therefore, may differ from those previously published. Data are provisional and are subject to monthly reporting variation. National data are calculated by summing the number of events reported by state of residence; counts are rounded to the nearest thousand (births and deaths) or hundred (infant deaths). Provisional counts may differ by approximately 2% from final counts, due to rounding and reporting variation. Additionally, the accuracy of the provisional counts may change over time. Data are estimates by state of residence. For discussion of the nature, source, and limitations of the data, see ""Technical Notes"" of the report, Births, Marriages, Divorces, and Deaths: Provisional Data for 2009. Available from URL: http://www.cdc.gov/nchs/data/nvsr/nvsr58/nvsr58_25.htm. Final counts of births, deaths, and infant deaths for previous years can be obtained from http://wonder.cdc.gov.\r\n\r\nSOURCE: Provisional data from the National Vital Statistics System, National Center for Health Statistics, CDC.', 'datatype': 'tabular', 'keywords': ['demographics', 'health', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/VSRR-State-and-National-Provisional-Counts-for-Liv/hmz2-vwda'}"
VSRR Provisional County-Level Drug Overdose Death Counts,gb4e-yj24,gb4e-yj24_1736713780.680272_VSRR_Provisional_County-Level_Drug_Overdose_Death_Counts_20250112.csv.gz,2025-01-12 20:29:40 UTC,https://data.cdc.gov/NCHS/VSRR-Provisional-County-Level-Drug-Overdose-Death-/gb4e-yj24,"This data visualization presents county-level provisional counts for drug overdose deaths based on a current flow of mortality data in the National Vital Statistics System. County-level provisional counts include deaths occurring within the 50 states and the District of Columbia, as of the date specified and may not include all deaths that occurred during a given time period. Provisional counts are often incomplete and causes of death may be pending investigation resulting in an underestimate relative to final counts (see Technical Notes).

The provisional data presented on the dashboard below include reported 12 month-ending provisional counts of death due to drug overdose by the decedent’s county of residence and the month in which death occurred.

Percentages of deaths with a cause of death pending further investigation and a note on historical completeness (e.g. if the percent completeness was under 90% after 6 months) are included to aid in interpretation of provisional data as these measures are related to the accuracy of provisional counts (see Technical Notes). Counts between 1-9 are suppressed in accordance with NCHS confidentiality standards. Provisional data presented on this page will be updated on a quarterly basis as additional records are received.

Technical Notes

Nature and Sources of Data

Provisional drug overdose death counts are based on death records received and processed by the National Center for Health Statistics (NCHS) as of a specified cutoff date. The cutoff date is generally the first Sunday of each month. National provisional estimates include deaths occurring within the 50 states and the District of Columbia. NCHS receives the death records from the state vital registration offices through the Vital Statistics Cooperative Program (VSCP).

The timeliness of provisional mortality surveillance data in the National Vital Statistics System (NVSS) database varies by cause of death and jurisdiction in which the death occurred. The lag time (i.e., the time between when the death occurred and when the data are available for analysis) is longer for drug overdose deaths compared with other causes of death due to the time often needed to investigate these deaths (1). Thus, provisional estimates of drug overdose deaths are reported 6 months after the date of death.

Provisional death counts presented in this data visualization are for “12 month-ending periods,” defined as the number of deaths occurring in the 12 month period ending in the month indicated. For example, the 12 month-ending period in June 2020 would include deaths occurring from July 1, 2019 through June 30, 2020. The 12 month-ending period counts include all seasons of the year and are insensitive to reporting variations by seasonality. These provisional counts of drug overdose deaths and related data quality metrics are provided for public health surveillance and monitoring of emerging trends. Provisional drug overdose death data are often incomplete, and the degree of completeness varies by jurisdiction and 12 month-ending period. Consequently, the numbers of drug overdose deaths are underestimated based on provisional data relative to final data and are subject to random variation.

Cause of Death Classification and Definition of Drug Deaths

Mortality statistics are compiled in accordance with the World Health Organizations (WHO) regulations specifying that WHO member nations classify and code causes of death with the current revision of the International Statistical Classification of Diseases and Related Health Problems (ICD). ICD provides the basic guidance used in virtually all countries to code and classify causes of death. It provides not only disease, injury, and poisoning categories but also the rules used to select the single underlying cause of death for tabulation from the several diagnoses that may be reported on a single death certificate, as well as definitions, tabulation lists, the format of the death certificate, and regul",,"{'name': 'VSRR Provisional County-Level Drug Overdose Death Counts', 'id': 'gb4e-yj24', 'description': 'This data visualization presents county-level provisional counts for drug overdose deaths based on a current flow of mortality data in the National Vital Statistics System. County-level provisional counts include deaths occurring within the 50 states and the District of Columbia, as of the date specified and may not include all deaths that occurred during a given time period. Provisional counts are often incomplete and causes of death may be pending investigation resulting in an underestimate relative to final counts (see Technical Notes).\n\nThe provisional data presented on the dashboard below include reported 12 month-ending provisional counts of death due to drug overdose by the decedent’s county of residence and the month in which death occurred.\n\nPercentages of deaths with a cause of death pending further investigation and a note on historical completeness (e.g. if the percent completeness was under 90% after 6 months) are included to aid in interpretation of provisional data as these measures are related to the accuracy of provisional counts (see Technical Notes). Counts between 1-9 are suppressed in accordance with NCHS confidentiality standards. Provisional data presented on this page will be updated on a quarterly basis as additional records are received.\n\nTechnical Notes\n\nNature and Sources of Data\n\nProvisional drug overdose death counts are based on death records received and processed by the National Center for Health Statistics (NCHS) as of a specified cutoff date. The cutoff date is generally the first Sunday of each month. National provisional estimates include deaths occurring within the 50 states and the District of Columbia. NCHS receives the death records from the state vital registration offices through the Vital Statistics Cooperative Program (VSCP).\n\nThe timeliness of provisional mortality surveillance data in the National Vital Statistics System (NVSS) database varies by cause of death and jurisdiction in which the death occurred. The lag time (i.e., the time between when the death occurred and when the data are available for analysis) is longer for drug overdose deaths compared with other causes of death due to the time often needed to investigate these deaths (1). Thus, provisional estimates of drug overdose deaths are reported 6 months after the date of death.\n\nProvisional death counts presented in this data visualization are for “12 month-ending periods,” defined as the number of deaths occurring in the 12 month period ending in the month indicated. For example, the 12 month-ending period in June 2020 would include deaths occurring from July 1, 2019 through June 30, 2020. The 12 month-ending period counts include all seasons of the year and are insensitive to reporting variations by seasonality. These provisional counts of drug overdose deaths and related data quality metrics are provided for public health surveillance and monitoring of emerging trends. Provisional drug overdose death data are often incomplete, and the degree of completeness varies by jurisdiction and 12 month-ending period. Consequently, the numbers of drug overdose deaths are underestimated based on provisional data relative to final data and are subject to random variation.\n\nCause of Death Classification and Definition of Drug Deaths\n\nMortality statistics are compiled in accordance with the World Health Organizations (WHO) regulations specifying that WHO member nations classify and code causes of death with the current revision of the International Statistical Classification of Diseases and Related Health Problems (ICD). ICD provides the basic guidance used in virtually all countries to code and classify causes of death. It provides not only disease, injury, and poisoning categories but also the rules used to select the single underlying cause of death for tabulation from the several diagnoses that may be reported on a single death certificate, as well as definitions, tabulation lists, the format of the death certificate, and regul', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/VSRR-Provisional-County-Level-Drug-Overdose-Death-/gb4e-yj24'}"
VSRR Provisional Drug Overdose Death Counts,xkb8-kh2a,xkb8-kh2a_1736708544.914747_VSRR_Provisional_Drug_Overdose_Death_Counts_20250112.csv.gz,2025-01-12 19:02:24 UTC,https://data.cdc.gov/NCHS/VSRR-Provisional-Drug-Overdose-Death-Counts/xkb8-kh2a,"This data presents provisional counts for drug overdose deaths based on a current flow of mortality data in the National Vital Statistics System. Counts for the most recent final annual data are provided for comparison. National provisional counts include deaths occurring within the 50 states and the District of Columbia as of the date specified and may not include all deaths that occurred during a given time period. Provisional counts are often incomplete and causes of death may be pending investigation resulting in an underestimate relative to final counts. To address this, methods were developed to adjust provisional counts for reporting delays by generating a set of predicted provisional counts.

Several data quality metrics, including the percent completeness in overall death reporting, percentage of deaths with cause of death pending further investigation, and the percentage of drug overdose deaths with specific drugs or drug classes reported are included to aid in interpretation of provisional data as these measures are related to the accuracy of provisional counts. Reporting of the specific drugs and drug classes involved in drug overdose deaths varies by jurisdiction, and comparisons of death rates involving specific drugs across selected jurisdictions should not be made. Provisional data presented will be updated on a monthly basis as additional records are received.

For more information please visit: https://www.cdc.gov/nchs/nvss/vsrr/drug-overdose-data.htm",,"{'name': 'VSRR Provisional Drug Overdose Death Counts', 'id': 'xkb8-kh2a', 'description': 'This data presents provisional counts for drug overdose deaths based on a current flow of mortality data in the National Vital Statistics System. Counts for the most recent final annual data are provided for comparison. National provisional counts include deaths occurring within the 50 states and the District of Columbia as of the date specified and may not include all deaths that occurred during a given time period. Provisional counts are often incomplete and causes of death may be pending investigation resulting in an underestimate relative to final counts. To address this, methods were developed to adjust provisional counts for reporting delays by generating a set of predicted provisional counts.\n\nSeveral data quality metrics, including the percent completeness in overall death reporting, percentage of deaths with cause of death pending further investigation, and the percentage of drug overdose deaths with specific drugs or drug classes reported are included to aid in interpretation of provisional data as these measures are related to the accuracy of provisional counts. Reporting of the specific drugs and drug classes involved in drug overdose deaths varies by jurisdiction, and comparisons of death rates involving specific drugs across selected jurisdictions should not be made. Provisional data presented will be updated on a monthly basis as additional records are received.\n\nFor more information please visit: https://www.cdc.gov/nchs/nvss/vsrr/drug-overdose-data.htm', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/VSRR-Provisional-Drug-Overdose-Death-Counts/xkb8-kh2a'}"
VSRR Provisional Maternal Death Counts and Rates,e2d5-ggg7,e2d5-ggg7_1736715426.126244_VSRR_Provisional_Maternal_Death_Counts_and_Rates_20250112.csv.gz,2025-01-12 20:57:06 UTC,https://data.cdc.gov/NCHS/VSRR-Provisional-Maternal-Death-Counts-and-Rates/e2d5-ggg7,"This data presents national-level provisional maternal mortality rates based on a current flow of mortality and natality data in the National Vital Statistics System. Provisional rates which are an early estimate of the number of maternal deaths per 100,000 live births, are shown as of the date specified and may not include all deaths and births that occurred during a given time period (see Technical Notes).

A maternal death is the death of a woman while pregnant or within 42 days of termination of pregnancy irrespective of the duration and the site of the pregnancy, from any cause related to or aggravated by the pregnancy or its management, but not from accidental or incidental causes. In this data visualization, maternal deaths are those deaths with an underlying cause of death assigned to International Statistical Classification of Diseases, 10th Revision (ICD-10) code numbers A34, O00–O95, and O98–O99.

The provisional data  include reported 12 month-ending provisional maternal mortality rates overall, by age, and by race and Hispanic origin. Provisional maternal mortality rates presented in this data visualization are for “12-month ending periods,” defined as the number of maternal deaths per 100,000 live births occurring in the 12-month period ending in the month indicated. For example, the 12-month ending period in June 2020 would include deaths and births occurring from July 1, 2019, through June 30, 2020. Evaluation of trends over time should compare estimates from year to year (June 2020 and June 2021), rather than month to month, to avoid overlapping time periods. In the visualization and in the accompanying data file, rates based on death counts less than 20 are suppressed in accordance with current NCHS standards of reliability for rates. Death counts between 1-9 in the data file are suppressed in accordance with National Center for Health Statistics (NCHS) confidentiality standards.

Provisional data presented on this page will be updated on a quarterly basis as additional records are received. Previously released estimates are revised to include data and record updates received since the previous release. As a result, the reliability of estimates for a 12-month period ending with a specific month will improve with each quarterly release and estimates for previous time periods may change as new data and updates are received.",,"{'name': 'VSRR Provisional Maternal Death Counts and Rates', 'id': 'e2d5-ggg7', 'description': 'This data presents national-level provisional maternal mortality rates based on a current flow of mortality and natality data in the National Vital Statistics System. Provisional rates which are an early estimate of the number of maternal deaths per 100,000 live births, are shown as of the date specified and may not include all deaths and births that occurred during a given time period (see Technical Notes).\n\nA maternal death is the death of a woman while pregnant or within 42 days of termination of pregnancy irrespective of the duration and the site of the pregnancy, from any cause related to or aggravated by the pregnancy or its management, but not from accidental or incidental causes. In this data visualization, maternal deaths are those deaths with an underlying cause of death assigned to International Statistical Classification of Diseases, 10th Revision (ICD-10) code numbers A34, O00–O95, and O98–O99.\n\nThe provisional data  include reported 12 month-ending provisional maternal mortality rates overall, by age, and by race and Hispanic origin. Provisional maternal mortality rates presented in this data visualization are for “12-month ending periods,” defined as the number of maternal deaths per 100,000 live births occurring in the 12-month period ending in the month indicated. For example, the 12-month ending period in June 2020 would include deaths and births occurring from July 1, 2019, through June 30, 2020. Evaluation of trends over time should compare estimates from year to year (June 2020 and June 2021), rather than month to month, to avoid overlapping time periods. In the visualization and in the accompanying data file, rates based on death counts less than 20 are suppressed in accordance with current NCHS standards of reliability for rates. Death counts between 1-9 in the data file are suppressed in accordance with National Center for Health Statistics (NCHS) confidentiality standards.\n\nProvisional data presented on this page will be updated on a quarterly basis as additional records are received. Previously released estimates are revised to include data and record updates received since the previous release. As a result, the reliability of estimates for a 12-month period ending with a specific month will improve with each quarterly release and estimates for previous time periods may change as new data and updates are received.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/VSRR-Provisional-Maternal-Death-Counts-and-Rates/e2d5-ggg7'}"
"Vaccination Concerns, Issues, and Motivators | RespVaxView | Data | Centers for Disease Control and Prevention (cdc.gov)",94wp-9pid,94wp-9pid_1736739634.481411_Vaccination_Concerns__Issues__and_Motivators___RespVaxView___Data___Centers_for_Disease_Control_and_Prevention__cdc.gov__20250113.csv.gz,2025-01-13 03:40:34 UTC,https://data.cdc.gov/Vaccinations/Vaccination-Concerns-Issues-and-Motivators-RespVax/94wp-9pid,"• CDC is providing information on COVID-19, flu, and RSV vaccination concerns, issues, and motivators to supplement weekly vaccination data. These monthly data represent trends in vaccination concerns, issues, and motivators, by demographics and other characteristics. 
 
• The data start in August 2024.",,"{'name': 'Vaccination Concerns, Issues, and Motivators | RespVaxView | Data | Centers for Disease Control and Prevention (cdc.gov)', 'id': '94wp-9pid', 'description': '• CDC is providing information on COVID-19, flu, and RSV vaccination concerns, issues, and motivators to supplement weekly vaccination data. These monthly data represent trends in vaccination concerns, issues, and motivators, by demographics and other characteristics. \n \n• The data start in August 2024.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/Vaccination-Concerns-Issues-and-Motivators-RespVax/94wp-9pid'}"
Vaccination Coverage among Adolescents (13-17 Years),ee48-w5t6,ee48-w5t6_1736711834.447371_Vaccination_Coverage_among_Adolescents__13-17_Years__20250112.csv.gz,2025-01-12 19:57:14 UTC,https://data.cdc.gov/Teen-Vaccinations/Vaccination-Coverage-among-Adolescents-13-17-Years/ee48-w5t6,"Vaccination Coverage among Adolescents (13-17 Years)

• Data on adolescent vaccination coverage and selected sociodemographic characteristics by State, HHS Region, and the United States from the National Immunization Survey-Teen (NIS-Teen).

• Additional information available at https://www.cdc.gov/vaccines/imz-managers/coverage/teenvaxview/index.html",,"{'name': 'Vaccination Coverage among Adolescents (13-17 Years)', 'id': 'ee48-w5t6', 'description': 'Vaccination Coverage among Adolescents (13-17 Years)\n\n• Data on adolescent vaccination coverage and selected sociodemographic characteristics by State, HHS Region, and the United States from the National Immunization Survey-Teen (NIS-Teen).\n\n• Additional information available at https://www.cdc.gov/vaccines/imz-managers/coverage/teenvaxview/index.html', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Teen-Vaccinations/Vaccination-Coverage-among-Adolescents-13-17-Years/ee48-w5t6'}"
Vaccination Coverage among Adults (18+ Years),aetd-68ew,aetd-68ew_1736714540.085983_Vaccination_Coverage_among_Adults__18__Years__20250112.csv.gz,2025-01-12 20:42:20 UTC,https://data.cdc.gov/Vaccinations/Vaccination-Coverage-among-Adults-18-Years-/aetd-68ew,"Vaccination Coverage among Adults (18+ Years)

• Data on adult vaccination coverage from the Behavioral Risk Factor Surveillance System (BRFSS) for the general population at the national, regional, and state levels by age groups.

• Additional information available at https://www.cdc.gov/vaccines/imz-managers/coverage/adultvaxview/index.html",,"{'name': 'Vaccination Coverage among Adults (18+ Years)', 'id': 'aetd-68ew', 'description': 'Vaccination Coverage among Adults (18+ Years)\n\n• Data on adult vaccination coverage from the Behavioral Risk Factor Surveillance System (BRFSS) for the general population at the national, regional, and state levels by age groups.\n\n• Additional information available at https://www.cdc.gov/vaccines/imz-managers/coverage/adultvaxview/index.html', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/Vaccination-Coverage-among-Adults-18-Years-/aetd-68ew'}"
Vaccination Coverage among Health Care Personnel,xerk-pcm8,xerk-pcm8_1736726641.243433_Vaccination_Coverage_among_Health_Care_Personnel_20250113.csv.gz,2025-01-13 00:04:01 UTC,https://data.cdc.gov/Vaccinations/Vaccination-Coverage-among-Health-Care-Personnel/xerk-pcm8,"Vaccination Coverage among Health Care Personnel

• Data on influenza vaccination performance measurement from the National Healthcare Safety Network (NHSN) for hospital-based health care personnel (HCP) at the national and state levels by personnel group.

• Additional information available at https://www.cdc.gov/flu/fluvaxview/index.htm",,"{'name': 'Vaccination Coverage among Health Care Personnel', 'id': 'xerk-pcm8', 'description': 'Vaccination Coverage among Health Care Personnel\n\n• Data on influenza vaccination performance measurement from the National Healthcare Safety Network (NHSN) for hospital-based health care personnel (HCP) at the national and state levels by personnel group.\n\n• Additional information available at https://www.cdc.gov/flu/fluvaxview/index.htm', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/Vaccination-Coverage-among-Health-Care-Personnel/xerk-pcm8'}"
Vaccination Coverage among Nursing Home Residents,8w4j-reb4,8w4j-reb4_1736724760.939584_Vaccination_Coverage_among_Nursing_Home_Residents_20250112.csv.gz,2025-01-12 23:32:40 UTC,https://data.cdc.gov/Vaccinations/Vaccination-Coverage-among-Nursing-Home-Residents/8w4j-reb4,"Vaccination Coverage among Nursing Home Residents

• Data on influenza and pneumococcal vaccination coverage from the Long-Term Care Minimum Data Set (MDS) from the Centers for Medicare & Medicaid Services (CMS) at the national, regional, and state levels by sociodemographic characteristics.

• Additional information available at https://www.cdc.gov/vaccines/imz-managers/coverage/adultvaxview/index.html and https://www.cdc.gov/flu/fluvaxview/index.htm",,"{'name': 'Vaccination Coverage among Nursing Home Residents', 'id': '8w4j-reb4', 'description': 'Vaccination Coverage among Nursing Home Residents\n\n• Data on influenza and pneumococcal vaccination coverage from the Long-Term Care Minimum Data Set (MDS) from the Centers for Medicare & Medicaid Services (CMS) at the national, regional, and state levels by sociodemographic characteristics.\n\n• Additional information available at https://www.cdc.gov/vaccines/imz-managers/coverage/adultvaxview/index.html and https://www.cdc.gov/flu/fluvaxview/index.htm', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/Vaccination-Coverage-among-Nursing-Home-Residents/8w4j-reb4'}"
Vaccination Coverage among Pregnant Women,h7pm-wmjc,h7pm-wmjc_1736710864.581347_Vaccination_Coverage_among_Pregnant_Women_20250112.csv.gz,2025-01-12 19:41:04 UTC,https://data.cdc.gov/Pregnancy-Vaccination/Vaccination-Coverage-among-Pregnant-Women/h7pm-wmjc,"Vaccination Coverage among Pregnant Women

• Data on influenza and tetanus toxoid, reduced diphtheria toxoid, and acellular pertussis (Tdap) vaccination coverage at the state level from the Pregnancy Risk Assessment Monitoring System (PRAMS) for women who had a recent live birth by age and race/ethnicity.

• Additional information available at https://www.cdc.gov/vaccines/imz-managers/coverage/adultvaxview/index.html and https://www.cdc.gov/flu/fluvaxview/index.htm",,"{'name': 'Vaccination Coverage among Pregnant Women', 'id': 'h7pm-wmjc', 'description': 'Vaccination Coverage among Pregnant Women\n\n• Data on influenza and tetanus toxoid, reduced diphtheria toxoid, and acellular pertussis (Tdap) vaccination coverage at the state level from the Pregnancy Risk Assessment Monitoring System (PRAMS) for women who had a recent live birth by age and race/ethnicity.\n\n• Additional information available at https://www.cdc.gov/vaccines/imz-managers/coverage/adultvaxview/index.html and https://www.cdc.gov/flu/fluvaxview/index.htm', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Pregnancy-Vaccination/Vaccination-Coverage-among-Pregnant-Women/h7pm-wmjc'}"
Vaccination Coverage among Young Children (0-35 Months),fhky-rtsk,fhky-rtsk_1736711372.583884_Vaccination_Coverage_among_Young_Children__0-35_Months__20250112.csv.gz,2025-01-12 19:49:32 UTC,https://data.cdc.gov/Child-Vaccinations/Vaccination-Coverage-among-Young-Children-0-35-Mon/fhky-rtsk,"Vaccination Coverage among Young Children (0-35 Months)

• National, regional, state, and selected local area vaccination coverage estimates for 2-year-old children by birth year and birth year cohorts from the National Immunization Survey-Child.

• Additional information available at https://www.cdc.gov/vaccines/imz-managers/coverage/childvaxview/index.html",,"{'name': 'Vaccination Coverage among Young Children (0-35 Months)', 'id': 'fhky-rtsk', 'description': 'Vaccination Coverage among Young Children (0-35 Months)\n\n• National, regional, state, and selected local area vaccination coverage estimates for 2-year-old children by birth year and birth year cohorts from the National Immunization Survey-Child.\n\n• Additional information available at https://www.cdc.gov/vaccines/imz-managers/coverage/childvaxview/index.html', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Child-Vaccinations/Vaccination-Coverage-among-Young-Children-0-35-Mon/fhky-rtsk'}"
Vaccination Coverage and Exemptions among Kindergartners,ijqb-a7ye,ijqb-a7ye_1736714330.839541_Vaccination_Coverage_and_Exemptions_among_Kindergartners_20250112.csv.gz,2025-01-12 20:38:50 UTC,https://data.cdc.gov/Vaccinations/Vaccination-Coverage-and-Exemptions-among-Kinderga/ijqb-a7ye,"Vaccination Coverage and Exemptions among Kindergartners

• Data on school vaccination coverage and exemptions from the School Vaccination Assessment Program for kindergartners at the national and state levels.

• Additional information available at https://www.cdc.gov/vaccines/imz-managers/coverage/schoolvaxview/index.html",,"{'name': 'Vaccination Coverage and Exemptions among Kindergartners', 'id': 'ijqb-a7ye', 'description': 'Vaccination Coverage and Exemptions among Kindergartners\n\n• Data on school vaccination coverage and exemptions from the School Vaccination Assessment Program for kindergartners at the national and state levels.\n\n• Additional information available at https://www.cdc.gov/vaccines/imz-managers/coverage/schoolvaxview/index.html', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/Vaccination-Coverage-and-Exemptions-among-Kinderga/ijqb-a7ye'}"
Vaccine Hesitancy for COVID-19: County and local estimates,q9mh-h2tw,q9mh-h2tw_1736709891.843019_Vaccine_Hesitancy_for_COVID-19__County_and_local_estimates_20250112.csv.gz,2025-01-12 19:24:51 UTC,https://data.cdc.gov/Vaccinations/Vaccine-Hesitancy-for-COVID-19-County-and-local-es/q9mh-h2tw,"Due to the change in the survey instrument regarding intention to vaccinate, our estimates for “hesitant or unsure” or “hesitant” derived from April 14-26, 2021, are not directly comparable with prior Household Pulse Survey data and should not be used to examine trends in hesitancy.

To support state and local communication and outreach efforts, ASPE developed state, county, and sub-state level predictions of hesitancy rates (https://aspe.hhs.gov/pdf-report/vaccine-hesitancy) using the most recently available federal survey data.

We estimate hesitancy rates at the state level using the U.S. Census Bureau’s Household Pulse Survey (HPS) (https://www.census.gov/programs-surveys/household-pulse-survey.html) data and utilize the estimated values to predict hesitancy rates at the Public Use Microdata Areas (PUMA) level using the Census Bureau’s 2019 American Community Survey (ACS) 1-year Public Use Microdata Sample (PUMS)(https://www.census.gov/programs-surveys/acs/microdata.html). To create county-level estimates, we used a PUMA-to-county crosswalk from the Missouri Census Data Center(https://mcdc.missouri.edu/applications/geocorr2014.html). PUMAs spanning multiple counties had their estimates apportioned across those counties based on overall 2010 Census populations.

The HPS is nationally representative and includes information on U.S. residents’ intentions to receive the COVID-19 vaccine when available, as well as other sociodemographic and geographic (state, region and metropolitan statistical areas) information. The ACS is a nationally representative survey, and it provides key sociodemographic and geographic (state, region, PUMAs, county) information. We utilized data for the survey collection period May 26, 2021 – June 7, 2021, which the HPS refers to as Week 31..

PUMA COVID-19 Hesitancy Data - https://data.cdc.gov/Vaccinations/Vaccine-Hesitancy-for-COVID-19-Public-Use-Microdat/djj9-kh3p",,"{'name': 'Vaccine Hesitancy for COVID-19: County and local estimates', 'id': 'q9mh-h2tw', 'description': 'Due to the change in the survey instrument regarding intention to vaccinate, our estimates for “hesitant or unsure” or “hesitant” derived from April 14-26, 2021, are not directly comparable with prior Household Pulse Survey data and should not be used to examine trends in hesitancy.\n\nTo support state and local communication and outreach efforts, ASPE developed state, county, and sub-state level predictions of hesitancy rates (https://aspe.hhs.gov/pdf-report/vaccine-hesitancy) using the most recently available federal survey data.\n\nWe estimate hesitancy rates at the state level using the U.S. Census Bureau’s Household Pulse Survey (HPS) (https://www.census.gov/programs-surveys/household-pulse-survey.html) data and utilize the estimated values to predict hesitancy rates at the Public Use Microdata Areas (PUMA) level using the Census Bureau’s 2019 American Community Survey (ACS) 1-year Public Use Microdata Sample (PUMS)(https://www.census.gov/programs-surveys/acs/microdata.html). To create county-level estimates, we used a PUMA-to-county crosswalk from the Missouri Census Data Center(https://mcdc.missouri.edu/applications/geocorr2014.html). PUMAs spanning multiple counties had their estimates apportioned across those counties based on overall 2010 Census populations.\n\nThe HPS is nationally representative and includes information on U.S. residents’ intentions to receive the COVID-19 vaccine when available, as well as other sociodemographic and geographic (state, region and metropolitan statistical areas) information. The ACS is a nationally representative survey, and it provides key sociodemographic and geographic (state, region, PUMAs, county) information. We utilized data for the survey collection period May 26, 2021 – June 7, 2021, which the HPS refers to as Week 31..\n\nPUMA COVID-19 Hesitancy Data - https://data.cdc.gov/Vaccinations/Vaccine-Hesitancy-for-COVID-19-Public-Use-Microdat/djj9-kh3p', 'datatype': 'tabular', 'keywords': ['demographics', 'health', 'public safety', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/Vaccine-Hesitancy-for-COVID-19-County-and-local-es/q9mh-h2tw'}"
Vaccine Hesitancy for COVID-19: Public Use Microdata Areas (PUMAs),djj9-kh3p,djj9-kh3p_1736712131.090471_Vaccine_Hesitancy_for_COVID-19__Public_Use_Microdata_Areas__PUMAs__20250112.csv.gz,2025-01-12 20:02:11 UTC,https://data.cdc.gov/Vaccinations/Vaccine-Hesitancy-for-COVID-19-Public-Use-Microdat/djj9-kh3p,"Due to the change in the survey instrument regarding intention to vaccinate, our estimates for “hesitant or unsure” or “hesitant” derived from April 14-26, 2021, are not directly comparable with prior Household Pulse Survey data and should not be used to examine trends in hesitancy.

To support state and local communication and outreach efforts, ASPE developed state, county, and sub-state level predictions of hesitancy rates(https://aspe.hhs.gov/pdf-report/vaccine-hesitancy) using the most recently available federal survey data.

We estimate hesitancy rates at the state level using the U.S. Census Bureau’s Household Pulse Survey (HPS)(https://www.census.gov/programs-surveys/household-pulse-survey.html) data and utilize the estimated values to predict hesitancy rates in more granular areas using the Census Bureau’s 2019 American Community Survey (ACS) 1-year Public Use Microdata Sample (PUMS)(https://www.census.gov/programs-surveys/acs/microdata.html). Public Use Microdata Areas (PUMA) level – PUMAs are geographic areas within each state that contain no fewer than 100,000 people. PUMAs can consist of part of a single densely populated county or can combine parts or all of multiple counties that are less densely populated.

The HPS is nationally representative and includes information on U.S. residents’ intentions to receive the COVID-19 vaccine when available, as well as other sociodemographic and geographic (state, region and metropolitan statistical areas) information. The ACS is a nationally representative survey, and it provides key sociodemographic and geographic (state, region, PUMAs, county) information. We utilized data for the survey collection period May 26, 2021 – June 7, 2021, which the HPS refers to as Week 31.


County and State Hesitancy Data - https://data.cdc.gov/Vaccinations/Vaccine-Hesitancy-for-COVID-19-County-and-local-es/q9mh-h2tw",,"{'name': 'Vaccine Hesitancy for COVID-19: Public Use Microdata Areas (PUMAs)', 'id': 'djj9-kh3p', 'description': 'Due to the change in the survey instrument regarding intention to vaccinate, our estimates for “hesitant or unsure” or “hesitant” derived from April 14-26, 2021, are not directly comparable with prior Household Pulse Survey data and should not be used to examine trends in hesitancy.\n\nTo support state and local communication and outreach efforts, ASPE developed state, county, and sub-state level predictions of hesitancy rates(https://aspe.hhs.gov/pdf-report/vaccine-hesitancy) using the most recently available federal survey data.\n\nWe estimate hesitancy rates at the state level using the U.S. Census Bureau’s Household Pulse Survey (HPS)(https://www.census.gov/programs-surveys/household-pulse-survey.html) data and utilize the estimated values to predict hesitancy rates in more granular areas using the Census Bureau’s 2019 American Community Survey (ACS) 1-year Public Use Microdata Sample (PUMS)(https://www.census.gov/programs-surveys/acs/microdata.html). Public Use Microdata Areas (PUMA) level – PUMAs are geographic areas within each state that contain no fewer than 100,000 people. PUMAs can consist of part of a single densely populated county or can combine parts or all of multiple counties that are less densely populated.\n\nThe HPS is nationally representative and includes information on U.S. residents’ intentions to receive the COVID-19 vaccine when available, as well as other sociodemographic and geographic (state, region and metropolitan statistical areas) information. The ACS is a nationally representative survey, and it provides key sociodemographic and geographic (state, region, PUMAs, county) information. We utilized data for the survey collection period May 26, 2021 – June 7, 2021, which the HPS refers to as Week 31.\n\n\nCounty and State Hesitancy Data - https://data.cdc.gov/Vaccinations/Vaccine-Hesitancy-for-COVID-19-County-and-local-es/q9mh-h2tw', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/Vaccine-Hesitancy-for-COVID-19-Public-Use-Microdat/djj9-kh3p'}"
Vaccines.gov: COVID-19 vaccinating provider locations,5jp2-pgaw,5jp2-pgaw_1736707454.371686_Vaccines.gov__COVID-19_vaccinating_provider_locations_20250112.csv.gz,2025-01-12 18:44:14 UTC,https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw,"Because inventory reporting is no longer required, Vaccines.gov information will not be updated on this site after July 2024.","<https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""original"",
<http://web.archive.org/web/timemap/link/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""self""; type=""application/link-format""; from=""Tue, 20 Jul 2021 12:25:36 GMT"",
<http://web.archive.org/web/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""timegate"",
<http://web.archive.org/web/20210720122536/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""first memento""; datetime=""Tue, 20 Jul 2021 12:25:36 GMT"",
<http://web.archive.org/web/20210720122539/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Tue, 20 Jul 2021 12:25:39 GMT"",
<http://web.archive.org/web/20211130142933/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Tue, 30 Nov 2021 14:29:33 GMT"",
<http://web.archive.org/web/20220116091311/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Sun, 16 Jan 2022 09:13:11 GMT"",
<http://web.archive.org/web/20220123235635/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Sun, 23 Jan 2022 23:56:35 GMT"",
<http://web.archive.org/web/20220309060324/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Wed, 09 Mar 2022 06:03:24 GMT"",
<http://web.archive.org/web/20220312125108/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Sat, 12 Mar 2022 12:51:08 GMT"",
<http://web.archive.org/web/20220312125113/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Sat, 12 Mar 2022 12:51:13 GMT"",
<http://web.archive.org/web/20220319100953/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Sat, 19 Mar 2022 10:09:53 GMT"",
<http://web.archive.org/web/20220409100046/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Sat, 09 Apr 2022 10:00:46 GMT"",
<http://web.archive.org/web/20220527144621/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Fri, 27 May 2022 14:46:21 GMT"",
<http://web.archive.org/web/20220530222039/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Mon, 30 May 2022 22:20:39 GMT"",
<http://web.archive.org/web/20220607073949/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Tue, 07 Jun 2022 07:39:49 GMT"",
<http://web.archive.org/web/20220706150057/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw/>; rel=""memento""; datetime=""Wed, 06 Jul 2022 15:00:57 GMT"",
<http://web.archive.org/web/20220818221203/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Thu, 18 Aug 2022 22:12:03 GMT"",
<http://web.archive.org/web/20221007021904/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Fri, 07 Oct 2022 02:19:04 GMT"",
<http://web.archive.org/web/20221104225251/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Fri, 04 Nov 2022 22:52:51 GMT"",
<http://web.archive.org/web/20221104225313/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Fri, 04 Nov 2022 22:53:13 GMT"",
<http://web.archive.org/web/20221111203043/http://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Fri, 11 Nov 2022 20:30:43 GMT"",
<http://web.archive.org/web/20221118192006/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Fri, 18 Nov 2022 19:20:06 GMT"",
<http://web.archive.org/web/20221118192010/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Fri, 18 Nov 2022 19:20:10 GMT"",
<http://web.archive.org/web/20221223180245/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Fri, 23 Dec 2022 18:02:45 GMT"",
<http://web.archive.org/web/20221223180253/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Fri, 23 Dec 2022 18:02:53 GMT"",
<http://web.archive.org/web/20221224161849/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Sat, 24 Dec 2022 16:18:49 GMT"",
<http://web.archive.org/web/20230103013633/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Tue, 03 Jan 2023 01:36:33 GMT"",
<http://web.archive.org/web/20230103120903/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Tue, 03 Jan 2023 12:09:03 GMT"",
<http://web.archive.org/web/20230205164355/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Sun, 05 Feb 2023 16:43:55 GMT"",
<http://web.archive.org/web/20230306002329/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Mon, 06 Mar 2023 00:23:29 GMT"",
<http://web.archive.org/web/20230314180355/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Tue, 14 Mar 2023 18:03:55 GMT"",
<http://web.archive.org/web/20230317235346/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Fri, 17 Mar 2023 23:53:46 GMT"",
<http://web.archive.org/web/20230321050712/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Tue, 21 Mar 2023 05:07:12 GMT"",
<http://web.archive.org/web/20230331183415/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Fri, 31 Mar 2023 18:34:15 GMT"",
<http://web.archive.org/web/20230510224930/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Wed, 10 May 2023 22:49:30 GMT"",
<http://web.archive.org/web/20230510224941/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Wed, 10 May 2023 22:49:41 GMT"",
<http://web.archive.org/web/20230514153334/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Sun, 14 May 2023 15:33:34 GMT"",
<http://web.archive.org/web/20230531221153/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Wed, 31 May 2023 22:11:53 GMT"",
<http://web.archive.org/web/20230712224102/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Wed, 12 Jul 2023 22:41:02 GMT"",
<http://web.archive.org/web/20230922160212/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Fri, 22 Sep 2023 16:02:12 GMT"",
<http://web.archive.org/web/20230922160218/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Fri, 22 Sep 2023 16:02:18 GMT"",
<http://web.archive.org/web/20231003063702/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Tue, 03 Oct 2023 06:37:02 GMT"",
<http://web.archive.org/web/20231005174323/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Thu, 05 Oct 2023 17:43:23 GMT"",
<http://web.archive.org/web/20231126215901/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Sun, 26 Nov 2023 21:59:01 GMT"",
<http://web.archive.org/web/20231204055244/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Mon, 04 Dec 2023 05:52:44 GMT"",
<http://web.archive.org/web/20231209105141/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Sat, 09 Dec 2023 10:51:41 GMT"",
<http://web.archive.org/web/20240201185218/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Thu, 01 Feb 2024 18:52:18 GMT"",
<http://web.archive.org/web/20240223130812/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Fri, 23 Feb 2024 13:08:12 GMT"",
<http://web.archive.org/web/20240314183558/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Thu, 14 Mar 2024 18:35:58 GMT"",
<http://web.archive.org/web/20240326204307/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Tue, 26 Mar 2024 20:43:07 GMT"",
<http://web.archive.org/web/20240424235705/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Wed, 24 Apr 2024 23:57:05 GMT"",
<http://web.archive.org/web/20240424235740/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Wed, 24 Apr 2024 23:57:40 GMT"",
<http://web.archive.org/web/20240508233544/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Wed, 08 May 2024 23:35:44 GMT"",
<http://web.archive.org/web/20240510205907/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Fri, 10 May 2024 20:59:07 GMT"",
<http://web.archive.org/web/20240518130159/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Sat, 18 May 2024 13:01:59 GMT"",
<http://web.archive.org/web/20240519165317/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw/>; rel=""memento""; datetime=""Sun, 19 May 2024 16:53:17 GMT"",
<http://web.archive.org/web/20240529144509/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Wed, 29 May 2024 14:45:09 GMT"",
<http://web.archive.org/web/20240613003708/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Thu, 13 Jun 2024 00:37:08 GMT"",
<http://web.archive.org/web/20240707131423/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Sun, 07 Jul 2024 13:14:23 GMT"",
<http://web.archive.org/web/20240712005241/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Fri, 12 Jul 2024 00:52:41 GMT"",
<http://web.archive.org/web/20240724145607/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Wed, 24 Jul 2024 14:56:07 GMT"",
<http://web.archive.org/web/20240914100427/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Sat, 14 Sep 2024 10:04:27 GMT"",
<http://web.archive.org/web/20241111164031/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Mon, 11 Nov 2024 16:40:31 GMT"",
<http://web.archive.org/web/20241118170805/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Mon, 18 Nov 2024 17:08:05 GMT"",
<http://web.archive.org/web/20241125212722/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Mon, 25 Nov 2024 21:27:22 GMT"",
<http://web.archive.org/web/20241204111436/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Wed, 04 Dec 2024 11:14:36 GMT"",
<http://web.archive.org/web/20250119114932/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Sun, 19 Jan 2025 11:49:32 GMT"",
<http://web.archive.org/web/20250201012854/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Sat, 01 Feb 2025 01:28:54 GMT"",
<http://web.archive.org/web/20250201211753/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Sat, 01 Feb 2025 21:17:53 GMT"",
<http://web.archive.org/web/20250202094000/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Sun, 02 Feb 2025 09:40:00 GMT"",
<http://web.archive.org/web/20250202134542/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Sun, 02 Feb 2025 13:45:42 GMT"",
<http://web.archive.org/web/20250204122410/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Tue, 04 Feb 2025 12:24:10 GMT"",
<http://web.archive.org/web/20250208000004/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Sat, 08 Feb 2025 00:00:04 GMT"",
<http://web.archive.org/web/20250210123519/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw/>; rel=""memento""; datetime=""Mon, 10 Feb 2025 12:35:19 GMT"",
<http://web.archive.org/web/20250210134058/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Mon, 10 Feb 2025 13:40:58 GMT"",
<http://web.archive.org/web/20250210135033/https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw>; rel=""memento""; datetime=""Mon, 10 Feb 2025 13:50:33 GMT""
","{'name': 'Vaccines.gov: COVID-19 vaccinating provider locations', 'id': '5jp2-pgaw', 'description': 'Because inventory reporting is no longer required, Vaccines.gov information will not be updated on this site after July 2024.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/Vaccines-gov-COVID-19-vaccinating-provider-locatio/5jp2-pgaw'}"
Vaccines.gov: Flu vaccinating provider locations,bugr-bbfr,bugr-bbfr_1736708109.929240_Vaccines.gov__Flu_vaccinating_provider_locations_20250112.csv.gz,2025-01-12 18:55:09 UTC,https://data.cdc.gov/Flu-Vaccinations/Vaccines-gov-Flu-vaccinating-provider-locations/bugr-bbfr,"Because inventory reporting is no longer required, Vaccines.gov information will not be updated on this site after July 2024.",,"{'name': 'Vaccines.gov: Flu vaccinating provider locations', 'id': 'bugr-bbfr', 'description': 'Because inventory reporting is no longer required, Vaccines.gov information will not be updated on this site after July 2024.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Flu-Vaccinations/Vaccines-gov-Flu-vaccinating-provider-locations/bugr-bbfr'}"
"Visits to physician offices, hospital outpatient departments, and hospital emergency departments, by age, sex, and race: United States",xt86-xqxz,xt86-xqxz_1736720073.181918_Visits_to_physician_offices__hospital_outpatient_departments__and_hospital_emergency_departments__by_age__sex__and_race__United_States_20250112.csv.gz,2025-01-12 22:14:33 UTC,https://data.cdc.gov/NCHS/Visits-to-physician-offices-hospital-outpatient-de/xt86-xqxz,"Data on visits to physician offices, hospital outpatient departments and hospital emergency departments by selected population characteristics. Please refer to the PDF or Excel version of this table in the HUS 2019 Data Finder (https://www.cdc.gov/nchs/hus/contents2019.htm) for critical information about measures, definitions, and changes over time. Note that the data file available here has more recent years of data than what is shown in the PDF or Excel version. Data for 2017 physician office visits are not available.

SOURCE: NCHS, National Ambulatory Medical Care Survey and National Hospital Ambulatory Medical Care Survey. For more information on the National Ambulatory Medical Care Survey and the National Hospital Ambulatory Medical Care Survey, see the corresponding Appendix entries at https://www.cdc.gov/nchs/data/hus/hus17_appendix.pdf.",,"{'name': 'Visits to physician offices, hospital outpatient departments, and hospital emergency departments, by age, sex, and race: United States', 'id': 'xt86-xqxz', 'description': 'Data on visits to physician offices, hospital outpatient departments and hospital emergency departments by selected population characteristics. Please refer to the PDF or Excel version of this table in the HUS 2019 Data Finder (https://www.cdc.gov/nchs/hus/contents2019.htm) for critical information about measures, definitions, and changes over time. Note that the data file available here has more recent years of data than what is shown in the PDF or Excel version. Data for 2017 physician office visits are not available.\n\nSOURCE: NCHS, National Ambulatory Medical Care Survey and National Hospital Ambulatory Medical Care Survey. For more information on the National Ambulatory Medical Care Survey and the National Hospital Ambulatory Medical Care Survey, see the corresponding Appendix entries at https://www.cdc.gov/nchs/data/hus/hus17_appendix.pdf.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Visits-to-physician-offices-hospital-outpatient-de/xt86-xqxz'}"
Water Fluoridation - Percentage of PWS population who receive fluoridated water,vbct-2pi3,vbct-2pi3_1736723580.015821_Water_Fluoridation_-_Percentage_of_PWS_population_who_receive_fluoridated_water_20250112.csv.gz,2025-01-12 23:13:00 UTC,https://data.cdc.gov/Oral-Health/Water-Fluoridation-Percentage-of-PWS-population-wh/vbct-2pi3,"2014. Water Fluoridation Statistics is a biennial report of the percentage and number of people receiving fluoridated water from 2000 through 2014, originally published at http://www.cdc.gov/fluoridation/statistics/index.htm. For more information, see: http://www.cdc.gov/oralhealthdata/overview/fluoridation_indicators.html",,"{'name': 'Water Fluoridation - Percentage of PWS population who receive fluoridated water', 'id': 'vbct-2pi3', 'description': '2014. Water Fluoridation Statistics is a biennial report of the percentage and number of people receiving fluoridated water from 2000 through 2014, originally published at http://www.cdc.gov/fluoridation/statistics/index.htm. For more information, see: http://www.cdc.gov/oralhealthdata/overview/fluoridation_indicators.html', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Oral-Health/Water-Fluoridation-Percentage-of-PWS-population-wh/vbct-2pi3'}"
Water Fluoridation Statistics - Percent of PWS population receiving fluoridated water,8235-5d73,8235-5d73_1736715890.447416_Water_Fluoridation_Statistics_-_Percent_of_PWS_population_receiving_fluoridated_water_20250112.csv.gz,2025-01-12 21:04:50 UTC,https://data.cdc.gov/Oral-Health/Water-Fluoridation-Statistics-Percent-of-PWS-popul/8235-5d73,"2000-2018. Water Fluoridation Statistics is a biennial report of the percentage and number of people receiving fluoridated water from 2000 through 2018, originally published at http://www.cdc.gov/fluoridation/statistics/index.htm. For more information, see: http://www.cdc.gov/oralhealthdata/overview/fluoridation_indicators.html",,"{'name': 'Water Fluoridation Statistics - Percent of PWS population receiving fluoridated water', 'id': '8235-5d73', 'description': '2000-2018. Water Fluoridation Statistics is a biennial report of the percentage and number of people receiving fluoridated water from 2000 through 2018, originally published at http://www.cdc.gov/fluoridation/statistics/index.htm. For more information, see: http://www.cdc.gov/oralhealthdata/overview/fluoridation_indicators.html', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Oral-Health/Water-Fluoridation-Statistics-Percent-of-PWS-popul/8235-5d73'}"
Weekly COVID-19 County Level of Community Transmission Historical Changes - ARCHIVED,jgk8-6dpn,jgk8-6dpn_1736714236.338158_Weekly_COVID-19_County_Level_of_Community_Transmission_Historical_Changes_-_ARCHIVED_20250112.csv.gz,2025-01-12 20:37:16 UTC,https://data.cdc.gov/Public-Health-Surveillance/Weekly-COVID-19-County-Level-of-Community-Transmis/jgk8-6dpn,"Reporting of Aggregate Case and Death Count data was discontinued May 11, 2023, with the expiration of the COVID-19 public health emergency declaration. This dataset will receive a final update on June 1, 2023, to reconcile historical data through May 10, 2023, and will remain publicly available.

This archived public use dataset contains historical case and percent positivity data updated weekly for all available counties and jurisdictions. Each week, the dataset was refreshed to capture any historical updates. Please note, percent positivity data may be incomplete for the most recent time period.

<b>Related data </b>
CDC provides the public with two active versions of COVID-19 county-level community transmission level data: this dataset with historical case and percent positivity data for each county from January 22, 2020 (<a href=""https://data.cdc.gov/Public-Health-Surveillance/Weekly-COVID-19-County-Level-of-Community-Transmis/jgk8-6dpn"">Weekly Historical Changes dataset</a>) and a dataset with the levels as originally posted (<a href=""https://data.cdc.gov/dataset/Weekly-COVID-19-County-Level-of-Community-Transmis/dt66-w6m6"">Weekly Originally Posted dataset</a>) since October 20, 2022. <b>Please navigate to the <a href=""https://data.cdc.gov/Public-Health-Surveillance/Weekly-COVID-19-County-Level-of-Community-Transmis/dt66-w6m6"">Weekly Originally Posted dataset</a> for the Community Transmission Levels published weekly on Thursdays.</b>

<b>Methods for calculating county level of community transmission indicator</b>
The County Level of Community Transmission indicator uses two metrics: (1) total new COVID-19 cases per 100,000 persons in the last 7 days and (2) percentage of positive SARS-CoV-2 diagnostic nucleic acid amplification tests (NAAT) in the last 7 days. For each of these metrics, CDC classifies transmission values as low, moderate, substantial, or high (below and <a href=""https://www.cdc.gov/mmwr/volumes/70/wr/mm7030e2.htm?s_cid=mm7030e2_w#T1_down"">here</a>). If the values for each of these two metrics differ (e.g., one indicates moderate and the other low), then the higher of the two should be used for decision-making. 

<b>CDC core metrics of and thresholds for community transmission levels of SARS-CoV-2</b>
<b>Total New Case Rate Metric:</b> ""New cases per 100,000 persons in the past 7 days"" is calculated by adding the number of new cases in the county (or other administrative level) in the last 7 days divided by the population in the county (or other administrative level) and multiplying by 100,000. ""New cases per 100,000 persons in the past 7 days"" is considered to have transmission level of Low (0-9.99); Moderate (10.00-49.99); Substantial (50.00-99.99); and High (greater than or equal to 100.00). 

<b>Test Percent Positivity Metric:</b> ""Percentage of positive NAAT in the past 7 days"" is calculated by dividing the number of positive tests in the county (or other administrative level) during the last 7 days by the total number of tests resulted over the last 7 days. ""Percentage of positive NAAT in the past 7 days"" is considered to have transmission level of Low (less than 5.00); Moderate (5.00-7.99); Substantial (8.00-9.99); and High (greater than or equal to 10.00). 


The data in this dataset are considered provisional by CDC and are subject to change until the data are reconciled and verified with the state and territorial data providers. 

This dataset is created using <a href=""https://www.cdc.gov/maso/policy/policy385.pdf"">CDC’s Policy on Public Health Research and Nonresearch Data Management and Access</a>.


<b>Archived data </b>
CDC has archived two prior versions of these datasets. Both versions contain the same 7 data elements reflecting community transmission levels for all available counties and jurisdictions; however, the datasets updated daily. The archived datasets can be found here:  

<a href=""https://data.cdc.gov/Public-Health-Surveillance/United-States-COVID-19-County-Level-of-Community-T",,"{'name': 'Weekly COVID-19 County Level of Community Transmission Historical Changes - ARCHIVED', 'id': 'jgk8-6dpn', 'description': 'Reporting of Aggregate Case and Death Count data was discontinued May 11, 2023, with the expiration of the COVID-19 public health emergency declaration. This dataset will receive a final update on June 1, 2023, to reconcile historical data through May 10, 2023, and will remain publicly available.\n\nThis archived public use dataset contains historical case and percent positivity data updated weekly for all available counties and jurisdictions. Each week, the dataset was refreshed to capture any historical updates. Please note, percent positivity data may be incomplete for the most recent time period.\n\n<b>Related data </b>\nCDC provides the public with two active versions of COVID-19 county-level community transmission level data: this dataset with historical case and percent positivity data for each county from January 22, 2020 (<a href=""https://data.cdc.gov/Public-Health-Surveillance/Weekly-COVID-19-County-Level-of-Community-Transmis/jgk8-6dpn"">Weekly Historical Changes dataset</a>) and a dataset with the levels as originally posted (<a href=""https://data.cdc.gov/dataset/Weekly-COVID-19-County-Level-of-Community-Transmis/dt66-w6m6"">Weekly Originally Posted dataset</a>) since October 20, 2022. <b>Please navigate to the <a href=""https://data.cdc.gov/Public-Health-Surveillance/Weekly-COVID-19-County-Level-of-Community-Transmis/dt66-w6m6"">Weekly Originally Posted dataset</a> for the Community Transmission Levels published weekly on Thursdays.</b>\n\n<b>Methods for calculating county level of community transmission indicator</b>\nThe County Level of Community Transmission indicator uses two metrics: (1) total new COVID-19 cases per 100,000 persons in the last 7 days and (2) percentage of positive SARS-CoV-2 diagnostic nucleic acid amplification tests (NAAT) in the last 7 days. For each of these metrics, CDC classifies transmission values as low, moderate, substantial, or high (below and <a href=""https://www.cdc.gov/mmwr/volumes/70/wr/mm7030e2.htm?s_cid=mm7030e2_w#T1_down"">here</a>). If the values for each of these two metrics differ (e.g., one indicates moderate and the other low), then the higher of the two should be used for decision-making. \n\n<b>CDC core metrics of and thresholds for community transmission levels of SARS-CoV-2</b>\n<b>Total New Case Rate Metric:</b> ""New cases per 100,000 persons in the past 7 days"" is calculated by adding the number of new cases in the county (or other administrative level) in the last 7 days divided by the population in the county (or other administrative level) and multiplying by 100,000. ""New cases per 100,000 persons in the past 7 days"" is considered to have transmission level of Low (0-9.99); Moderate (10.00-49.99); Substantial (50.00-99.99); and High (greater than or equal to 100.00). \n\n<b>Test Percent Positivity Metric:</b> ""Percentage of positive NAAT in the past 7 days"" is calculated by dividing the number of positive tests in the county (or other administrative level) during the last 7 days by the total number of tests resulted over the last 7 days. ""Percentage of positive NAAT in the past 7 days"" is considered to have transmission level of Low (less than 5.00); Moderate (5.00-7.99); Substantial (8.00-9.99); and High (greater than or equal to 10.00). \n\n\nThe data in this dataset are considered provisional by CDC and are subject to change until the data are reconciled and verified with the state and territorial data providers. \n\nThis dataset is created using <a href=""https://www.cdc.gov/maso/policy/policy385.pdf"">CDC’s Policy on Public Health Research and Nonresearch Data Management and Access</a>.\n\n\n<b>Archived data </b>\nCDC has archived two prior versions of these datasets. Both versions contain the same 7 data elements reflecting community transmission levels for all available counties and jurisdictions; however, the datasets updated daily. The archived datasets can be found here:  \n\n<a href=""https://data.cdc.gov/Public-Health-Surveillance/United-States-COVID-19-County-Level-of-Community-T', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/Weekly-COVID-19-County-Level-of-Community-Transmis/jgk8-6dpn'}"
Weekly COVID-19 County Level of Community Transmission as Originally Posted - ARCHIVED,dt66-w6m6,dt66-w6m6_1736709003.210116_Weekly_COVID-19_County_Level_of_Community_Transmission_as_Originally_Posted_-_ARCHIVED_20250112.csv.gz,2025-01-12 19:10:03 UTC,https://data.cdc.gov/Public-Health-Surveillance/Weekly-COVID-19-County-Level-of-Community-Transmis/dt66-w6m6,"Reporting of Aggregate Case and Death Count data was discontinued May 11, 2023, with the expiration of the COVID-19 public health emergency declaration. Although these data will continue to be publicly available, this dataset will no longer be updated.

Weekly COVID-19 Community Levels (CCLs) have been replaced with levels of COVID-19 hospital admission rates (low, medium, or high) which demonstrate <a href=""https://www.cdc.gov/mmwr/volumes/72/wr/mm7219e1.htm"">>99% concordance</a> by county during February 2022–March 2023. For more information on the latest COVID-19 status levels in your area and hospital admission rates, visit <a href=""https://covid.cdc.gov/covid-data-tracker/#cases_new-admissions-rate-county"">United States COVID-19 Hospitalizations, Deaths, and Emergency Visits by Geographic Area.</a>

This archived public use dataset contains historical case and percent positivity data updated weekly for all available counties and jurisdictions. Each week, the dataset was refreshed to capture any historical updates. Please note, percent positivity data may be incomplete for the most recent time period.

This archived public use dataset contains weekly community transmission levels data for all available counties and jurisdictions since October 20, 2022. The dataset was appended to contain the most recent week's data as originally posted on COVID Data Tracker. Historical corrections are not made to these data if new case or testing information become available. A separate archived file is made available here (<a href=""https://data.cdc.gov/Public-Health-Surveillance/Weekly-COVID-19-County-Level-of-Community-Transmis/jgk8-6dpn"">: Weekly COVID-19 County Level of Community Transmission Historical Changes</a>) if historically updated data are desired.

<b>Related data</b> 
CDC provides the public with two active versions of COVID-19 county-level community transmission level data: this dataset with the levels as originally posted (<a href=""https://data.cdc.gov/Public-Health-Surveillance/Weekly-COVID-19-County-Level-of-Community-Transmis/dt66-w6m6"">Weekly Originally Posted dataset</a>), updated weekly with the most recent week’s data since October 20, 2022, and a historical dataset with the county-level transmission data from January 22, 2020 (<a href=""https://data.cdc.gov/Public-Health-Surveillance/Weekly-COVID-19-County-Level-of-Community-Transmis/jgk8-6dpn"">Weekly Historical Changes dataset</a>).  
 
<b>Methods for calculating county level of community transmission indicator</b> 
The County Level of Community Transmission indicator uses two metrics: (1) total new COVID-19 cases per 100,000 persons in the last 7 days and (2) percentage of positive SARS-CoV-2 diagnostic nucleic acid amplification tests (NAAT) in the last 7 days. For each of these metrics, CDC classifies transmission values as low, moderate, substantial, or high (below and <a href=""https://www.cdc.gov/mmwr/volumes/70/wr/mm7030e2.htm?s_cid=mm7030e2_w#T1_down"">here</a>). If the values for each of these two metrics differ (e.g., one indicates moderate and the other low), then the higher of the two should be used for decision-making. 
 
<b>CDC core metrics of and thresholds for community transmission levels of SARS-CoV-2</b>
<b>Total New Case Rate Metric:</b> ""New cases per 100,000 persons in the past 7 days"" is calculated by adding the number of new cases in the county (or other administrative level) in the last 7 days divided by the population in the county (or other administrative level) and multiplying by 100,000. ""New cases per 100,000 persons in the past 7 days"" is considered to have a transmission level of Low (0-9.99); Moderate (10.00-49.99); Substantial (50.00-99.99); and High (greater than or equal to 100.00). 
 
<b>Test Percent Positivity Metric:</b> ""Percentage of positive NAAT in the past 7 days"" is calculated by dividing the number of positive tests in the county (or other administrative level) during the last 7 days by the total number of tests conducted",,"{'name': 'Weekly COVID-19 County Level of Community Transmission as Originally Posted - ARCHIVED', 'id': 'dt66-w6m6', 'description': 'Reporting of Aggregate Case and Death Count data was discontinued May 11, 2023, with the expiration of the COVID-19 public health emergency declaration. Although these data will continue to be publicly available, this dataset will no longer be updated.\n\nWeekly COVID-19 Community Levels (CCLs) have been replaced with levels of COVID-19 hospital admission rates (low, medium, or high) which demonstrate <a href=""https://www.cdc.gov/mmwr/volumes/72/wr/mm7219e1.htm"">>99% concordance</a> by county during February 2022–March 2023. For more information on the latest COVID-19 status levels in your area and hospital admission rates, visit <a href=""https://covid.cdc.gov/covid-data-tracker/#cases_new-admissions-rate-county"">United States COVID-19 Hospitalizations, Deaths, and Emergency Visits by Geographic Area.</a>\n\nThis archived public use dataset contains historical case and percent positivity data updated weekly for all available counties and jurisdictions. Each week, the dataset was refreshed to capture any historical updates. Please note, percent positivity data may be incomplete for the most recent time period.\n\nThis archived public use dataset contains weekly community transmission levels data for all available counties and jurisdictions since October 20, 2022. The dataset was appended to contain the most recent week\'s data as originally posted on COVID Data Tracker. Historical corrections are not made to these data if new case or testing information become available. A separate archived file is made available here (<a href=""https://data.cdc.gov/Public-Health-Surveillance/Weekly-COVID-19-County-Level-of-Community-Transmis/jgk8-6dpn"">: Weekly COVID-19 County Level of Community Transmission Historical Changes</a>) if historically updated data are desired.\n\n<b>Related data</b> \nCDC provides the public with two active versions of COVID-19 county-level community transmission level data: this dataset with the levels as originally posted (<a href=""https://data.cdc.gov/Public-Health-Surveillance/Weekly-COVID-19-County-Level-of-Community-Transmis/dt66-w6m6"">Weekly Originally Posted dataset</a>), updated weekly with the most recent week’s data since October 20, 2022, and a historical dataset with the county-level transmission data from January 22, 2020 (<a href=""https://data.cdc.gov/Public-Health-Surveillance/Weekly-COVID-19-County-Level-of-Community-Transmis/jgk8-6dpn"">Weekly Historical Changes dataset</a>).  \n \n<b>Methods for calculating county level of community transmission indicator</b> \nThe County Level of Community Transmission indicator uses two metrics: (1) total new COVID-19 cases per 100,000 persons in the last 7 days and (2) percentage of positive SARS-CoV-2 diagnostic nucleic acid amplification tests (NAAT) in the last 7 days. For each of these metrics, CDC classifies transmission values as low, moderate, substantial, or high (below and\u202f<a href=""https://www.cdc.gov/mmwr/volumes/70/wr/mm7030e2.htm?s_cid=mm7030e2_w#T1_down"">here</a>). If the values for each of these two metrics differ (e.g., one indicates moderate and the other low), then the higher of the two should be used for decision-making. \n \n<b>CDC core metrics of and thresholds for community transmission levels of SARS-CoV-2</b>\n<b>Total New Case Rate Metric:</b> ""New cases per 100,000 persons in the past 7 days"" is calculated by adding the number of new cases in the county (or other administrative level) in the last 7 days divided by the population in the county (or other administrative level) and multiplying by 100,000. ""New cases per 100,000 persons in the past 7 days"" is considered to have a transmission level of Low (0-9.99); Moderate (10.00-49.99); Substantial (50.00-99.99); and High (greater than or equal to 100.00). \n \n<b>Test Percent Positivity Metric:</b> ""Percentage of positive NAAT in the past 7 days"" is calculated by dividing the number of positive tests in the county (or other administrative level) during the last 7 days by the total number of tests conducted', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/Weekly-COVID-19-County-Level-of-Community-Transmis/dt66-w6m6'}"
"Weekly COVID-19 Vaccination Coverage Among Pregnant Women 18-49 Years, by Race and Ethnicity",pvk6-8bzd,pvk6-8bzd_1736738952.608741_Weekly_COVID-19_Vaccination_Coverage_Among_Pregnant_Women_18-49_Years__by_Race_and_Ethnicity_20250113.csv.gz,2025-01-13 03:29:12 UTC,https://data.cdc.gov/Pregnancy-Vaccination/Weekly-COVID-19-Vaccination-Coverage-Among-Pregnan/pvk6-8bzd,"• Weekly COVID-19 Vaccination Coverage, Pregnant Women 18-49 Years Old by Race and Ethnicity 

• Weekly COVID-19 vaccination coverage estimates for pregnant women ages 18–49 years are based on electronic health record (EHR) data from the Vaccine Safety Datalink (VSD) ((https://www.cdc.gov/vaccine-safety-systems/vsd/), a collaboration between CDC’s Immunization Safety Office and multiple integrated health care organizations.",,"{'name': 'Weekly COVID-19 Vaccination Coverage Among Pregnant Women 18-49 Years, by Race and Ethnicity', 'id': 'pvk6-8bzd', 'description': '• Weekly COVID-19 Vaccination Coverage, Pregnant Women 18-49 Years Old by Race and Ethnicity \n\n• Weekly COVID-19 vaccination coverage estimates for pregnant women ages 18–49 years are based on electronic health record (EHR) data from the Vaccine Safety Datalink (VSD) ((https://www.cdc.gov/vaccine-safety-systems/vsd/), a collaboration between CDC’s Immunization Safety Office and multiple integrated health care organizations.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Pregnancy-Vaccination/Weekly-COVID-19-Vaccination-Coverage-Among-Pregnan/pvk6-8bzd'}"
Weekly COVID-19 Vaccination Coverage among Pregnant Women by Race and Ethnicity,efqg-e273,efqg-e273_1736713375.922363_Weekly_COVID-19_Vaccination_Coverage_among_Pregnant_Persons_by_Race_and_Ethnicity_20250112.csv.gz,2025-01-12 20:22:55 UTC,https://data.cdc.gov/Pregnancy-Vaccination/Weekly-COVID-19-Vaccination-Coverage-among-Pregnan/efqg-e273,"Weekly COVID-19 Vaccination Coverage, Pregnant Women 18-49 Years Old

• COVID-19 vaccination coverage among pregnant women is assessed through the Vaccine Safety Datalink* 

• Data on updated 2023-24 COVID-19 vaccinations among pregnant women was available starting September 23, 2023, and includes doses received starting September 14, 2023.",,"{'name': 'Weekly COVID-19 Vaccination Coverage among Pregnant Women by Race and Ethnicity', 'id': 'efqg-e273', 'description': 'Weekly COVID-19 Vaccination Coverage, Pregnant Women 18-49 Years Old\n\n• COVID-19 vaccination coverage among pregnant women is assessed through the Vaccine Safety Datalink* \n\n• Data on updated 2023-24 COVID-19 vaccinations among pregnant women was available starting September 23, 2023, and includes doses received starting September 14, 2023.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Pregnancy-Vaccination/Weekly-COVID-19-Vaccination-Coverage-among-Pregnan/efqg-e273'}"
"Weekly COVID-19 cases among persons ≥5 years old among unvaccinated and vaccinated with a BNT162b2 (Pfizer-BioNTech) primary series by age group — 22 U.S. jurisdictions, January 16 to May 28, 2022",v2zw-2d2v,v2zw-2d2v_1736738385.884798_Weekly_COVID-19_cases_among_persons__5_years_old_among_unvaccinated_and_vaccinated_with_a_BNT162b2__Pfizer-BioNTech__primary_series_by_age_group___22_U.S._jurisdictions__January_16_to_May_28__2022_20250113.csv.gz,2025-01-13 03:19:45 UTC,https://data.cdc.gov/Public-Health-Surveillance/Weekly-COVID-19-cases-among-persons-5-years-old-am/v2zw-2d2v,"Reported numbers of SARS-CoV-2 infections by age group (5–11, 12–17, 18–49, 50–64, ≥65 years of age) from 22 U.S. jurisdictions (AR, AZ, CA, CO, CT, DC, FL, GA, IN, KS, MI, MA, MN, NC, NE, NJ, NM, NYC, PHL, TN, UT, WI ); ~53% of the U.S. population) with routine linkages between COVID-19 case surveillance and immunization information system (IIS) data reported to CDC during January 16, 2022 – May 28, 2022. 
Vaccine administration (coverage) data reported to CDC were aggregated by U.S. reporting jurisdiction, MMWR week of vaccination (≥14 days after completing the primary vaccine series), FDA-approved vaccine products, and age group (5–11, 12–17, 18–49, 50–64, ≥65 years). 
Vaccination status: A person vaccinated with at least a primary series had SARS-CoV-2 RNA or antigen detected on a respiratory specimen collected ≥14 days after verifiably completing BNT162b2 (Pfizer-BioNTech) primary series. An unvaccinated person had SARS-CoV-2 RNA or antigen detected on a respiratory specimen and has not been verified to have received COVID-19 vaccine. Excluded were partially vaccinated people who received at least one FDA-authorized vaccine dose but did not complete a primary series ≥14 days before collection of a specimen where SARS-CoV-2 RNA or antigen was detected. 
To estimate the number of unvaccinated persons in each MMWR week, the 2019 U.S. Census population estimates by jurisdiction and age group were used (except for California, where State Department of Finance 2021 population projections were determined to be more accurate). The number of unvaccinated persons each MMWR week was estimated by subtracting the cumulative number of vaccinated (all products) and partially vaccinated persons (all products) from the respective population totals for each jurisdiction and age group. 
Continuity correction: A continuity correction has been applied to the denominators by capping the percent population coverage at 95%. To do this, we assumed that at least 5% of each age group would always be unvaccinated in each jurisdiction. Adding this correction ensures that there is always a reasonable denominator for the unvaccinated population that would prevent rates from growing unrealistically large due to potential overestimates of vaccination coverage.",,"{'name': 'Weekly COVID-19 cases among persons ≥5 years old among unvaccinated and vaccinated with a BNT162b2 (Pfizer-BioNTech) primary series by age group — 22 U.S. jurisdictions, January 16 to May 28, 2022', 'id': 'v2zw-2d2v', 'description': 'Reported numbers of SARS-CoV-2 infections by age group (5–11, 12–17, 18–49, 50–64, ≥65 years of age) from 22 U.S. jurisdictions (AR, AZ, CA, CO, CT, DC, FL, GA, IN, KS, MI, MA, MN, NC, NE, NJ, NM, NYC, PHL, TN, UT, WI ); ~53% of the U.S. population) with routine linkages between COVID-19 case surveillance and immunization information system (IIS) data reported to CDC during January 16, 2022 – May 28, 2022. \nVaccine administration (coverage) data reported to CDC were aggregated by U.S. reporting jurisdiction, MMWR week of vaccination (≥14 days after completing the primary vaccine series), FDA-approved vaccine products, and age group (5–11, 12–17, 18–49, 50–64, ≥65 years). \nVaccination status: A person vaccinated with at least a primary series had SARS-CoV-2 RNA or antigen detected on a respiratory specimen collected ≥14 days after verifiably completing BNT162b2 (Pfizer-BioNTech) primary series. An unvaccinated person had SARS-CoV-2 RNA or antigen detected on a respiratory specimen and has not been verified to have received COVID-19 vaccine. Excluded were partially vaccinated people who received at least one FDA-authorized vaccine dose but did not complete a primary series ≥14 days before collection of a specimen where SARS-CoV-2 RNA or antigen was detected. \nTo estimate the number of unvaccinated persons in each MMWR week, the 2019 U.S. Census population estimates by jurisdiction and age group were used (except for California, where State Department of Finance 2021 population projections were determined to be more accurate). The number of unvaccinated persons each MMWR week was estimated by subtracting the cumulative number of vaccinated (all products) and partially vaccinated persons (all products) from the respective population totals for each jurisdiction and age group. \nContinuity correction: A continuity correction has been applied to the denominators by capping the percent population coverage at 95%. To do this, we assumed that at least 5% of each age group would always be unvaccinated in each jurisdiction. Adding this correction ensures that there is always a reasonable denominator for the unvaccinated population that would prevent rates from growing unrealistically large due to potential overestimates of vaccination coverage.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/Weekly-COVID-19-cases-among-persons-5-years-old-am/v2zw-2d2v'}"
Weekly Counts of Death by Jurisdiction and Select Causes of Death,u6jv-9ijr,u6jv-9ijr_1736708305.680432_Weekly_Counts_of_Death_by_Jurisdiction_and_Select_Causes_of_Death_20250112.csv.gz,2025-01-12 18:58:25 UTC,https://data.cdc.gov/NCHS/Weekly-Counts-of-Death-by-Jurisdiction-and-Select-/u6jv-9ijr,"Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.

This visualization provides weekly data on the number of deaths by jurisdiction of occurrence and cause of death. Counts of deaths in more recent weeks can be compared with counts from earlier years to determine if the number is higher than expected. Selected causes of death are shown, based on analyses of the most prevalent comorbid conditions reported on death certificates where COVID-19 was listed as a cause of death (see https://www.cdc.gov/nchs/nvss/vsrr/covid_weekly/index.htm#Comorbidities). Cause of death counts are based on the underlying cause of death, and presented for Respiratory diseases, Circulatory diseases, Malignant neoplasms, and Alzheimer disease and dementia. Estimated numbers of deaths due to these other causes of death could represent misclassified COVID-19 deaths, or potentially could be indirectly related to COVID-19 (e.g., deaths from other causes occurring in the context of health care shortages or overburdened health care systems). Deaths with an underlying cause of death of COVID-19 are not included in these estimates of deaths due to other causes. Deaths due to external causes (i.e. injuries) or unknown causes are excluded. For more detail, see the Technical Notes.",,"{'name': 'Weekly Counts of Death by Jurisdiction and Select Causes of Death', 'id': 'u6jv-9ijr', 'description': 'Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.\n\nThis visualization provides weekly data on the number of deaths by jurisdiction of occurrence and cause of death. Counts of deaths in more recent weeks can be compared with counts from earlier years to determine if the number is higher than expected. Selected causes of death are shown, based on analyses of the most prevalent comorbid conditions reported on death certificates where COVID-19 was listed as a cause of death (see https://www.cdc.gov/nchs/nvss/vsrr/covid_weekly/index.htm#Comorbidities). Cause of death counts are based on the underlying cause of death, and presented for Respiratory diseases, Circulatory diseases, Malignant neoplasms, and Alzheimer disease and dementia. Estimated numbers of deaths due to these other causes of death could represent misclassified COVID-19 deaths, or potentially could be indirectly related to COVID-19 (e.g., deaths from other causes occurring in the context of health care shortages or overburdened health care systems). Deaths with an underlying cause of death of COVID-19 are not included in these estimates of deaths due to other causes. Deaths due to external causes (i.e. injuries) or unknown causes are excluded. For more detail, see the Technical Notes.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Weekly-Counts-of-Death-by-Jurisdiction-and-Select-/u6jv-9ijr'}"
Weekly Counts of Deaths by Jurisdiction and Age,y5bj-9g5w,y5bj-9g5w_1736708275.009807_Weekly_Counts_of_Deaths_by_Jurisdiction_and_Age_20250112.csv.gz,2025-01-12 18:57:55 UTC,https://data.cdc.gov/NCHS/Weekly-Counts-of-Deaths-by-Jurisdiction-and-Age/y5bj-9g5w,"Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.

This visualization provides weekly data on the number of deaths from all causes by jurisdiction of occurrence and age group. Counts of deaths in more recent weeks can be compared with counts from earlier years to determine if the number is higher than expected.",,"{'name': 'Weekly Counts of Deaths by Jurisdiction and Age', 'id': 'y5bj-9g5w', 'description': 'Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.\n\nThis visualization provides weekly data on the number of deaths from all causes by jurisdiction of occurrence and age group. Counts of deaths in more recent weeks can be compared with counts from earlier years to determine if the number is higher than expected.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Weekly-Counts-of-Deaths-by-Jurisdiction-and-Age/y5bj-9g5w'}"
"Weekly Counts of Deaths by Jurisdiction, and Race and Hispanic Origin",qfhf-uhaa,qfhf-uhaa_1736710654.391762_Weekly_Counts_of_Deaths_by_Jurisdiction__and_Race_and_Hispanic_Origin_20250112.csv.gz,2025-01-12 19:37:34 UTC,https://data.cdc.gov/NCHS/Weekly-Counts-of-Deaths-by-Jurisdiction-and-Race-a/qfhf-uhaa,"Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.

This visualization provides weekly data on the number of deaths from all causes by jurisdiction of occurrence and race and Hispanic origin. Numbers of deaths are also shown for all causes excluding COVID-19, and for COVID-19. Counts of deaths in more recent weeks can be compared with counts from earlier years to determine if the number is higher than expected.",,"{'name': 'Weekly Counts of Deaths by Jurisdiction, and Race and Hispanic Origin', 'id': 'qfhf-uhaa', 'description': 'Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.\n\nThis visualization provides weekly data on the number of deaths from all causes by jurisdiction of occurrence and race and Hispanic origin. Numbers of deaths are also shown for all causes excluding COVID-19, and for COVID-19. Counts of deaths in more recent weeks can be compared with counts from earlier years to determine if the number is higher than expected.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Weekly-Counts-of-Deaths-by-Jurisdiction-and-Race-a/qfhf-uhaa'}"
"Weekly Counts of Deaths by State and Select Causes, 2014-2019",3yf8-kanr,3yf8-kanr_1736708096.347988_Weekly_Counts_of_Deaths_by_State_and_Select_Causes__2014-2019_20250112.csv.gz,2025-01-12 18:54:56 UTC,https://data.cdc.gov/NCHS/Weekly-Counts-of-Deaths-by-State-and-Select-Causes/3yf8-kanr,"Final counts of deaths by the week the deaths occurred, by state of occurrence, and by select causes of death for 2014-2019.  Death counts in this dataset were derived from the National Vital Statistics System database that provides the most timely access to the data.  Therefore, counts may differ slightly from final data due to differences in processing, recoding, and imputation.",,"{'name': 'Weekly Counts of Deaths by State and Select Causes, 2014-2019', 'id': '3yf8-kanr', 'description': 'Final counts of deaths by the week the deaths occurred, by state of occurrence, and by select causes of death for 2014-2019.  Death counts in this dataset were derived from the National Vital Statistics System database that provides the most timely access to the data.  Therefore, counts may differ slightly from final data due to differences in processing, recoding, and imputation.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Weekly-Counts-of-Deaths-by-State-and-Select-Causes/3yf8-kanr'}"
"Weekly Cumulative COVID-19 Vaccination Coverage and Intent, Overall, by Selected Demographics and Jurisdiction, Among Adults 18 Years and Older",ksfb-ug5d,ksfb-ug5d_1736732489.112448_Weekly_Cumulative_COVID-19_Vaccination_Coverage_and_Intent__Overall__by_Selected_Demographics_and_Jurisdiction__Among_Adults_18_Years_and_Older_20250113.csv.gz,2025-01-13 01:41:29 UTC,https://data.cdc.gov/Vaccinations/Weekly-Cumulative-COVID-19-Vaccination-Coverage-an/ksfb-ug5d,"Weekly COVID-19 Vaccination Coverage and intent among adults 18 Years and Older by Demographic Characteristics and Jurisdiction • Weekly estimates of COVID-19 vaccination coverage and intent among adults 18 years and older are calculated using data from the National Immunization Survey–Adult COVID Module (NIS–ACM) (https://www.cdc.gov/nis/about/). 

Weekly comparisons to previous season should take into account differences between seasons in vaccine availability dates. 2023–24 COVID-19 vaccines were first available mid-September 2023, and 2024–25 COVID-19 vaccines were first available at the end of August 2024.",,"{'name': 'Weekly Cumulative COVID-19 Vaccination Coverage and Intent, Overall, by Selected Demographics and Jurisdiction, Among Adults 18 Years and Older', 'id': 'ksfb-ug5d', 'description': 'Weekly COVID-19 Vaccination Coverage and intent among adults 18 Years and Older by Demographic Characteristics and Jurisdiction • Weekly estimates of COVID-19 vaccination coverage and intent among adults 18 years and older are calculated using data from the National Immunization Survey–Adult COVID Module (NIS–ACM) (https://www.cdc.gov/nis/about/). \n\nWeekly comparisons to previous season should take into account differences between seasons in vaccine availability dates. 2023–24 COVID-19 vaccines were first available mid-September 2023, and 2024–25 COVID-19 vaccines were first available at the end of August 2024.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/Weekly-Cumulative-COVID-19-Vaccination-Coverage-an/ksfb-ug5d'}"
Weekly Cumulative Doses (in Millions) of Influenza Vaccine Distributed by Flu Season in the United States,k87d-gv3u,k87d-gv3u_1736712898.858357_Weekly_Cumulative_Doses__in_Millions__of_Influenza_Vaccine_Distributed_by_Flu_Season_in_the_United_States_20250112.csv.gz,2025-01-12 20:14:58 UTC,https://data.cdc.gov/Vaccinations/Weekly-Cumulative-Doses-in-Millions-of-Influenza-V/k87d-gv3u,"Weekly Cumulative Doses (in Millions) of Influenza Vaccine Distributed by Flu Season in the United States

•  Archived data are available here:  https://data.cdc.gov/resource/e5zk-7tx5 
•  Flu vaccine is produced by private manufacturers, so supply depends on manufacturers. Vaccine manufacturers have projected that they will supply the United States with as many as 173.5 million to 183.5 million doses of influenza vaccines for the 2022-2023 season. 
•  Additional information is available: https://www.cdc.gov/flu/prevent/vaccine-supply-distribution.htm.",,"{'name': 'Weekly Cumulative Doses (in Millions) of Influenza Vaccine Distributed by Flu Season in the United States', 'id': 'k87d-gv3u', 'description': 'Weekly Cumulative Doses (in Millions) of Influenza Vaccine Distributed by Flu Season in the United States\n\n•  Archived data are available here:  https://data.cdc.gov/resource/e5zk-7tx5 \n•  Flu vaccine is produced by private manufacturers, so supply depends on manufacturers. Vaccine manufacturers have projected that they will supply the United States with as many as 173.5 million to 183.5 million doses of influenza vaccines for the 2022-2023 season. \n•  Additional information is available:\u202fhttps://www.cdc.gov/flu/prevent/vaccine-supply-distribution.htm.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/Weekly-Cumulative-Doses-in-Millions-of-Influenza-V/k87d-gv3u'}"
"Weekly Cumulative Doses (in Millions) of Influenza Vaccines Distributed by Season, United States",ph8r-wzxn,ph8r-wzxn_1736738617.936907_Weekly_Cumulative_Doses__in_Millions__of_Influenza_Vaccines_Distributed_by_Season__United_States_20250113.csv.gz,2025-01-13 03:23:37 UTC,https://data.cdc.gov/Flu-Vaccinations/Weekly-Cumulative-Doses-in-Millions-of-Influenza-V/ph8r-wzxn,"• Weekly Cumulative Doses (in Millions) of Influenza Vaccines Distributed by Season in the United States. 

• Archived data are available here: https://data.cdc.gov/resource/e5zk-7tx5

• Influenza vaccine is produced by private manufacturers. Additional information is available at https://www.cdc.gov/flu/prevent/vaccine-supply-distribution.htm. These data are submitted to CDC by current U.S.─ licensed manufacturers of influenza vaccine and a subset of influenza vaccine wholesalers and distributors that receive vaccine directly from these manufacturers. These data are not projected but approximate all influenza vaccines distributed in the United States.

• Additional information is available: https://www.cdc.gov/flu/prevent/vaccine-supply-distribution.htm.",,"{'name': 'Weekly Cumulative Doses (in Millions) of Influenza Vaccines Distributed by Season, United States', 'id': 'ph8r-wzxn', 'description': '• Weekly Cumulative Doses (in Millions) of Influenza Vaccines Distributed by Season in the United States. \n\n• Archived data are available here: https://data.cdc.gov/resource/e5zk-7tx5\n\n• Influenza vaccine is produced by private manufacturers. Additional information is available at https://www.cdc.gov/flu/prevent/vaccine-supply-distribution.htm. These data are submitted to CDC by current U.S.─ licensed manufacturers of influenza vaccine and a subset of influenza vaccine wholesalers and distributors that receive vaccine directly from these manufacturers. These data are not projected but approximate all influenza vaccines distributed in the United States.\n\n• Additional information is available:\u202fhttps://www.cdc.gov/flu/prevent/vaccine-supply-distribution.htm.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Flu-Vaccinations/Weekly-Cumulative-Doses-in-Millions-of-Influenza-V/ph8r-wzxn'}"
"Weekly Cumulative Estimated Number of COVID-19 Vaccinations Administered in Pharmacies and Physician Medical Offices, Adults 18 years and older, by Season and Age Group, United States",ewpg-rz7g,ewpg-rz7g_1736738790.897309_Weekly_Cumulative_Estimated_Number_of_COVID-19_Vaccinations_Administered_in_Pharmacies_and_Physician_Medical_Offices__Adults_18_years_and_older__United_States_20250113.csv.gz,2025-01-13 03:26:30 UTC,https://data.cdc.gov/Vaccinations/Weekly-Cumulative-Estimated-Number-of-COVID-19-Vac/ewpg-rz7g,"- Weekly Cumulative Estimated Number of COVID-19 Vaccinations Administered in Pharmacies and Physical Medical Offices, Adults 18 Years and Older, United States 

- Estimated number of COVID-19 vaccinations among adults 18 years and older is assessed through IQVIA (https://www.iqvia.com/) as a source of information on vaccinations administered in retail pharmacies (include chain, mass merchandise, stores, and independent pharmacies) and physician medical offices.",,"{'name': 'Weekly Cumulative Estimated Number of COVID-19 Vaccinations Administered in Pharmacies and Physician Medical Offices, Adults 18 years and older, by Season and Age Group, United States', 'id': 'ewpg-rz7g', 'description': '- Weekly Cumulative Estimated Number of COVID-19 Vaccinations Administered in Pharmacies and Physical Medical Offices, Adults 18 Years and Older, United States \n\n- Estimated number of COVID-19 vaccinations among adults 18 years and older is assessed through IQVIA (https://www.iqvia.com/) as a source of information on vaccinations administered in retail pharmacies (include chain, mass merchandise, stores, and independent pharmacies) and physician medical offices.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/Weekly-Cumulative-Estimated-Number-of-COVID-19-Vac/ewpg-rz7g'}"
"Weekly Cumulative Estimated Number of Influenza Vaccinations Administered in Pharmacies and Physician Medical Offices, Adults 18 years and older, United States",83ng-twza,83ng-twza_1736714607.516110_Weekly_Cumulative_Estimated_Number_of_Influenza_Vaccinations_Administered_in_Pharmacies_and_Physician_Medical_Offices__Adults_18_years_and_older__United_States_20250112.csv.gz,2025-01-12 20:43:27 UTC,https://data.cdc.gov/Vaccinations/Weekly-Cumulative-Estimated-Number-of-Influenza-Va/83ng-twza,"Weekly Cumulative Estimated Number of Influenza Vaccinations Administered in Pharmacies and Physician Medical Offices, Adults 18 years and older, United States

- Archived data are here:  https://data.cdc.gov/resource/uxgd-cqqc

- CDC is exploring use of data obtained from IQVIA§ (https://www.iqvia.com/) as a source of information on vaccinations administered in retail pharmacies (include chain, mass merchandise, food stores, and independent pharmacies) and physician medical offices.  
 
- These projected pharmacy estimates include flu vaccinations that were billed for (i.e. claims) or paid by cash. Medical office projected estimates are claims-based only. 
 
- The sampled pharmacies and physician medical offices and the captured volume of transactions represent approximately 92% and 82% of influenza vaccines administered nationally, respectively. 
 
- Vaccinations administered in other settings such as workplaces and community settings are not included in these data. 
 

*National estimates for pharmacies and medical offices include vaccinations administered in 50 states and DC. National estimates for medical office vaccinations do not include doses where geographic information (i.e. which state the dose was administered in) was missing. Pharmacy data are through Friday of each week and medical office data are through Saturday of each week. Week ending dates for prior seasons are aligned with the current season’s week ending dates. 

§ 1) King, L. M., Bartoces, M., Fleming-Dutra, K. E., et. al, L. A. (2020). Changes in US outpatient antibiotic prescriptions from 2011–2016external icon. Clinical Infectious Diseases, 70(3), 370-377. 2) McLaughlin, J. M., Swerdlow, D. L., Khan, F., et. Al (2019). Disparities in uptake of 13-valent pneumococcal conjugate vaccine among older adults in the United Statesexternal icon. Human vaccines & immunotherapeutics, 15(4), 841-849.",,"{'name': 'Weekly Cumulative Estimated Number of Influenza Vaccinations Administered in Pharmacies and Physician Medical Offices, Adults 18 years and older, United States', 'id': '83ng-twza', 'description': 'Weekly Cumulative Estimated Number of Influenza Vaccinations Administered in Pharmacies and Physician Medical Offices, Adults 18 years and older, United States\n\n- Archived data are here:  https://data.cdc.gov/resource/uxgd-cqqc\n\n- CDC is exploring use of data obtained from IQVIA§ (https://www.iqvia.com/) as a source of information on vaccinations administered in retail pharmacies (include chain, mass merchandise, food stores, and independent pharmacies) and physician medical offices.  \n \n- These projected pharmacy estimates include flu vaccinations that were billed for (i.e. claims) or paid by cash. Medical office projected estimates are claims-based only. \n \n- The sampled pharmacies and physician medical offices and the captured volume of transactions represent approximately 92% and 82% of influenza vaccines administered nationally, respectively. \n \n- Vaccinations administered in other settings such as workplaces and community settings are not included in these data. \n \n\n*National estimates for pharmacies and medical offices include vaccinations administered in 50 states and DC. National estimates for medical office vaccinations do not include doses where geographic information (i.e. which state the dose was administered in) was missing. Pharmacy data are through Friday of each week and medical office data are through Saturday of each week. Week ending dates for prior seasons are aligned with the current season’s week ending dates. \n\n§ 1) King, L. M., Bartoces, M., Fleming-Dutra, K. E., et. al, L. A. (2020). Changes in US outpatient antibiotic prescriptions from 2011–2016external icon. Clinical Infectious Diseases, 70(3), 370-377. 2) McLaughlin, J. M., Swerdlow, D. L., Khan, F., et. Al (2019). Disparities in uptake of 13-valent pneumococcal conjugate vaccine among older adults in the United Statesexternal icon. Human vaccines & immunotherapeutics, 15(4), 841-849.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/Weekly-Cumulative-Estimated-Number-of-Influenza-Va/83ng-twza'}"
"Weekly Cumulative Estimated Number of Influenza Vaccinations Administered in Pharmacies and Physician Medical Offices, Adults 18 years and older, United States (ARCHIVED)",uxgd-cqqc,uxgd-cqqc_1736736727.349139_Weekly_Cumulative_Estimated_Number_of_Influenza_Vaccinations_Administered_in_Pharmacies_and_Physician_Medical_Offices__Adults_18_years_and_older__United_States__ARCHIVED__20250113.csv.gz,2025-01-13 02:52:07 UTC,https://data.cdc.gov/Vaccinations/Weekly-Cumulative-Estimated-Number-of-Influenza-Va/uxgd-cqqc,"Weekly Cumulative Estimated Number of Influenza Vaccinations Administered in Pharmacies and Physician Medical Offices, Adults 18 years and older, United States

- Since 2019, CDC has been exploring use of data obtained from (https://www.iqvia.com/) as a source of information on vaccinations administered in retail pharmacies (include chain, mass merchandise, food stores, and independent pharmacies) and physician medical offices. These data are being presented publicly for the first time this season; further evaluations of these data are underway.

- The pharmacy data include flu vaccinations that were billed for (i.e. claims) or paid by cash. Medical office data are claims based.

- The sampled pharmacies and physician medical offices and the captured volume of transactions represent approximately 92% and 82% of influenza vaccines administered nationally, respectively.

- Vaccinations administered in other settings such as workplaces and community settings are not included in these data.

- Weekly Number of Influenza Vaccinations Administered, in Pharmacies and Physician Medical Offices, Adults 18 years and older, United States, Data Source(s): IQVIA Pharmacy and Physician Medical Office Claims.",,"{'name': 'Weekly Cumulative Estimated Number of Influenza Vaccinations Administered in Pharmacies and Physician Medical Offices, Adults 18 years and older, United States (ARCHIVED)', 'id': 'uxgd-cqqc', 'description': 'Weekly Cumulative Estimated Number of Influenza Vaccinations Administered in Pharmacies and Physician Medical Offices, Adults 18 years and older, United States\n\n- Since 2019, CDC has been exploring use of data obtained from (https://www.iqvia.com/) as a source of information on vaccinations administered in retail pharmacies (include chain, mass merchandise, food stores, and independent pharmacies) and physician medical offices. These data are being presented publicly for the first time this season; further evaluations of these data are underway.\n\n- The pharmacy data include flu vaccinations that were billed for (i.e. claims) or paid by cash. Medical office data are claims based.\n\n- The sampled pharmacies and physician medical offices and the captured volume of transactions represent approximately 92% and 82% of influenza vaccines administered nationally, respectively.\n\n- Vaccinations administered in other settings such as workplaces and community settings are not included in these data.\n\n- Weekly Number of Influenza Vaccinations Administered, in Pharmacies and Physician Medical Offices, Adults 18 years and older, United States, Data Source(s): IQVIA Pharmacy and Physician Medical Office Claims.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/Weekly-Cumulative-Estimated-Number-of-Influenza-Va/uxgd-cqqc'}"
"Weekly Cumulative Estimated Number of Influenza Vaccinations Administered in Pharmacies and Physician Medical Offices, Adults 18 years and older, by Flu Season and Age Group, United States",ysd3-txwj,ysd3-txwj_1736738358.828452_Weekly_Cumulative_Estimated_Number_of_Influenza_Vaccinations_Administered_in_Pharmacies_and_Physician_Medical_Offices__Adults_18_years_and_older__United_States_20250113.csv.gz,2025-01-13 03:19:18 UTC,https://data.cdc.gov/Vaccinations/Weekly-Cumulative-Estimated-Number-of-Influenza-Va/ysd3-txwj,"Weekly Cumulative Estimated Number of Influenza Vaccinations Administered in Pharmacies and Physical Medical Offices, Adults 18 Years and Older, United States 

Archived data are here: https://data.cdc.gov/resource/uxgd-cqqc

- Estimated number of influenza vaccinations among adults 18 years and older is assessed through IQVIA (https://www.iqvia.com/) as a source of information on vaccinations administered in retail pharmacies (include chain, mass merchandise, stores, and independent pharmacies) and physician medical offices.",,"{'name': 'Weekly Cumulative Estimated Number of Influenza Vaccinations Administered in Pharmacies and Physician Medical Offices, Adults 18 years and older, by Flu Season and Age Group, United States', 'id': 'ysd3-txwj', 'description': 'Weekly Cumulative Estimated Number of Influenza Vaccinations Administered in Pharmacies and Physical Medical Offices, Adults 18 Years and Older, United States \n\nArchived data are here: https://data.cdc.gov/resource/uxgd-cqqc\n\n- Estimated number of influenza vaccinations among adults 18 years and older is assessed through IQVIA (https://www.iqvia.com/) as a source of information on vaccinations administered in retail pharmacies (include chain, mass merchandise, stores, and independent pharmacies) and physician medical offices.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/Weekly-Cumulative-Estimated-Number-of-Influenza-Va/ysd3-txwj'}"
"Weekly Cumulative Estimated Number of RSV Vaccinations Administered in Pharmacies and Physician Medical Offices, Adults 60 years and older, United States",a3gi-4phs,a3gi-4phs_1736731163.792780_Weekly_Cumulative_Estimated_Number_of_RSV_Vaccinations_Administered_in_Pharmacies_and_Physician_Medical_Offices__Adults_60_years_and_older__United_States_20250113.csv.gz,2025-01-13 01:19:23 UTC,https://data.cdc.gov/Vaccinations/Weekly-Cumulative-Estimated-Number-of-RSV-Vaccinat/a3gi-4phs,"Weekly Cumulative Estimated Number of RSV Vaccinations Administered in Pharmacies and Physician Medical Offices, Adults 60 Years and Older, United States

• Estimated Number of RSV vaccinations among adults 60 years and older is assessed through IQVIA (https://www.iqvia.com/) as a source of information on vaccinations administered in retail pharmacies (include chain, mass merchandise, food stores, and independent pharmacies) and physician medical offices.

• Starting in September 2023, the CDC recommended the RSV vaccine for adults 60 years and older.",,"{'name': 'Weekly Cumulative Estimated Number of RSV Vaccinations Administered in Pharmacies and Physician Medical Offices, Adults 60 years and older, United States', 'id': 'a3gi-4phs', 'description': 'Weekly Cumulative Estimated Number of RSV Vaccinations Administered in Pharmacies and Physician Medical Offices, Adults 60 Years and Older, United States\n\n• Estimated Number of RSV vaccinations among adults 60 years and older is assessed through IQVIA (https://www.iqvia.com/) as a source of information on vaccinations administered in retail pharmacies (include chain, mass merchandise, food stores, and independent pharmacies) and physician medical offices.\n\n• Starting in September 2023, the CDC recommended the RSV vaccine for adults 60 years and older.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/Weekly-Cumulative-Estimated-Number-of-RSV-Vaccinat/a3gi-4phs'}"
"Weekly Cumulative Estimated Number of RSV Vaccinations Administered in Retail Pharmacies and Physicians’ Medical Offices, Adults 60 to 74 Years and 75 years and older, United States",hea5-6w9c,hea5-6w9c_1736738777.403385_Weekly_Cumulative_Estimated_Number_of_RSV_Vaccinations_Administered_in_Retail_Pharmacies_and_Physicians__Medical_Offices__Adults_75_years_and_older__United_States_20250113.csv.gz,2025-01-13 03:26:17 UTC,https://data.cdc.gov/Vaccinations/Weekly-Cumulative-Estimated-Number-of-RSV-Vaccinat/hea5-6w9c,"•Weekly Cumulative Estimated Number of RSV Vaccinations Administered in Retail Pharmacies and Physicians’ Medical Offices, Adults 60 to 74 Years and 75 Years and Older, United States  

• Estimated Number of RSV vaccinations among adults 60 years and older is assessed through IQVIA (https://www.iqvia.com/) as a source of information on vaccinations administered in retail pharmacies (include chain, mass merchandise, food stores, and independent pharmacies) and physician medical offices.","<https://data.cdc.gov/Vaccinations/Weekly-Cumulative-Estimated-Number-of-RSV-Vaccinat/hea5-6w9c>; rel=""original"",
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<http://web.archive.org/web/20250203182613/https://data.cdc.gov/Vaccinations/Weekly-Cumulative-Estimated-Number-of-RSV-Vaccinat/hea5-6w9c>; rel=""memento""; datetime=""Mon, 03 Feb 2025 18:26:13 GMT"",
<http://web.archive.org/web/20250206054110/https://data.cdc.gov/Vaccinations/Weekly-Cumulative-Estimated-Number-of-RSV-Vaccinat/hea5-6w9c>; rel=""memento""; datetime=""Thu, 06 Feb 2025 05:41:10 GMT"",
<http://web.archive.org/web/20250209223731/https://data.cdc.gov/Vaccinations/Weekly-Cumulative-Estimated-Number-of-RSV-Vaccinat/hea5-6w9c>; rel=""memento""; datetime=""Sun, 09 Feb 2025 22:37:31 GMT"",
<http://web.archive.org/web/20250209223736/https://data.cdc.gov/Vaccinations/Weekly-Cumulative-Estimated-Number-of-RSV-Vaccinat/hea5-6w9c>; rel=""memento""; datetime=""Sun, 09 Feb 2025 22:37:36 GMT""
","{'name': 'Weekly Cumulative Estimated Number of RSV Vaccinations Administered in Retail Pharmacies and Physicians’ Medical Offices, Adults 60 to 74 Years and 75 years and older, United States', 'id': 'hea5-6w9c', 'description': '•Weekly Cumulative Estimated Number of RSV Vaccinations Administered in Retail Pharmacies and Physicians’ Medical Offices, Adults 60 to 74 Years and 75 Years and Older, United States  \n\n• Estimated Number of RSV vaccinations among adults 60 years and older is assessed through IQVIA (https://www.iqvia.com/) as a source of information on vaccinations administered in retail pharmacies (include chain, mass merchandise, food stores, and independent pharmacies) and physician medical offices.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/Weekly-Cumulative-Estimated-Number-of-RSV-Vaccinat/hea5-6w9c'}"
"Weekly Cumulative Estimated Number of Updated 2023-24 COVID-19 Vaccinations Administered in Pharmacies and Physician Medical Offices, Adults 18 years and older, United States, Data Source(s): IQVIA Pharmacy and Physician Medical Office Claims",w76m-r924,w76m-r924_1736726569.997446_Weekly_Cumulative_Estimated_Number_of_Updated_2023-24_COVID-19_Vaccinations_Administered_in_Pharmacies_and_Physician_Medical_Offices__Adults_18_years_and_older__United_States__Data_Source_s___IQVIA_Pharmacy_and_Physician.csv.gz,2025-01-13 00:02:49 UTC,https://data.cdc.gov/Vaccinations/Weekly-Cumulative-Estimated-Number-of-Updated-2023/w76m-r924,"Weekly Cumulative Estimated Number of Updated 2023-24 COVID-19 Vaccinations Administered in Pharmacies and Physical Medical Offices, Adults 18 Years and Older, United States 

• Estimated number of updated COVID-19 vaccinations among adults 18 years and older is assessed through IQVIA (https://www.iqvia.com/) as a source of information on vaccinations administered in retail pharmacies (include chain, mass merchandise, food stores, and independent pharmacies) and physician medical offices. 

• Starting in September 2023, the CDC recommended the updated 2023-2024 COVID-19 vaccine for adults ages 18 years and older.",,"{'name': 'Weekly Cumulative Estimated Number of Updated 2023-24 COVID-19 Vaccinations Administered in Pharmacies and Physician Medical Offices, Adults 18 years and older, United States, Data Source(s): IQVIA Pharmacy and Physician Medical Office Claims', 'id': 'w76m-r924', 'description': 'Weekly Cumulative Estimated Number of Updated 2023-24 COVID-19 Vaccinations Administered in Pharmacies and Physical Medical Offices, Adults 18 Years and Older, United States \n\n• Estimated number of updated COVID-19 vaccinations among adults 18 years and older is assessed through IQVIA (https://www.iqvia.com/) as a source of information on vaccinations administered in retail pharmacies (include chain, mass merchandise, food stores, and independent pharmacies) and physician medical offices. \n\n• Starting in September 2023, the CDC recommended the updated 2023-2024 COVID-19 vaccine for adults ages 18 years and older.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/Weekly-Cumulative-Estimated-Number-of-Updated-2023/w76m-r924'}"
"Weekly Cumulative Influenza Vaccination Coverage Comparison between Current and Previous Season, Children 6 Months through 17 Years, United States",8nyy-xsq7,8nyy-xsq7_1736726221.757093_Weekly_Cumulative_Influenza_Vaccination_Coverage_Comparison_between_Current_and_Previous_Season__Children_6_Months_through_17_Years__United_States_20250112.csv.gz,2025-01-12 23:57:01 UTC,https://data.cdc.gov/Child-Vaccinations/Weekly-Cumulative-Influenza-Vaccination-Coverage-C/8nyy-xsq7,"Weekly Cumulative Influenza Vaccination Coverage Comparison between Current and Previous Season, Children 6 Months through 17 Years, United States 

• Influenza vaccination coverage among children is assessed through the National Immunization Survey-Flu (NIS-Flu) annually, providing weekly influenza vaccination coverage estimates for children 6 months–17 years based upon parental report. (https://www.cdc.gov/vaccines/imz-managers/nis/about.html) 

o NIS-Flu is a national random-digit-dialed cellular telephone survey of households conducted during the flu season (October-June). 

• Additional information about NIS-Flu methods and estimates from the 2019-2020 season are available at: https://www.cdc.gov/flu/fluvaxview/coverage-1920estimates.htm. Final estimates for prior seasons and other flu vaccination data are available at CDC’s FluVaxView.:  https://www.cdc.gov/flu/fluvaxview/index.htm.",,"{'name': 'Weekly Cumulative Influenza Vaccination Coverage Comparison between Current and Previous Season, Children 6 Months through 17 Years, United States', 'id': '8nyy-xsq7', 'description': 'Weekly Cumulative Influenza Vaccination Coverage Comparison between Current and Previous Season, Children 6 Months through 17 Years, United States \n\n• Influenza vaccination coverage among children is assessed through the National Immunization Survey-Flu (NIS-Flu) annually, providing weekly influenza vaccination coverage estimates for children 6 months–17 years based upon parental report. (https://www.cdc.gov/vaccines/imz-managers/nis/about.html) \n\no NIS-Flu is a national random-digit-dialed cellular telephone survey of households conducted during the flu season (October-June). \n\n• Additional information about NIS-Flu methods and estimates from the 2019-2020 season are available at: https://www.cdc.gov/flu/fluvaxview/coverage-1920estimates.htm. Final estimates for prior seasons and other flu vaccination data are available at CDC’s FluVaxView.:  https://www.cdc.gov/flu/fluvaxview/index.htm.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Child-Vaccinations/Weekly-Cumulative-Influenza-Vaccination-Coverage-C/8nyy-xsq7'}"
"Weekly Cumulative Influenza Vaccination Coverage and Comparison Between 2023–24 and 2024–25± by Jurisdiction, Children 6 Months–17 Years, United States",qr63-vqq5,qr63-vqq5_1736739362.435877_Weekly_Cumulative_Influenza_Vaccination_Coverage_and_Comparison_Between_2023_24_and_2024_25__by_Jurisdiction__Children_6_Months_17_Years__United_States_20250113.csv.gz,2025-01-13 03:36:02 UTC,https://data.cdc.gov/Child-Vaccinations/Weekly-Cumulative-Influenza-Vaccination-Coverage-a/qr63-vqq5,"• Weekly Cumulative Influenza Vaccination Coverage and Comparison Between 2023-24 and 2024-25 by Jurisdiction, Children 6 Months–17, United States.

• Weekly Influenza vaccination coverage and parental intent for vaccination among children is calculated using data from the National Immunization Survey–Flu (NIS–Flu) (https://www.cdc.gov/nis/about/index.html). NIS–Flu is a national random-digit-dialed cellular telephone survey of households with children ages 6 months–17 years conducted during October-June. The respondent to a NIS–Flu survey is a parent or guardian who said they were knowledgeable about the child’s vaccination history. All estimates are based upon parental report of receipt of vaccination and month of that vaccination.","<https://data.cdc.gov/Child-Vaccinations/Weekly-Cumulative-Influenza-Vaccination-Coverage-a/qr63-vqq5>; rel=""original"",
<http://web.archive.org/web/timemap/link/https://data.cdc.gov/Child-Vaccinations/Weekly-Cumulative-Influenza-Vaccination-Coverage-a/qr63-vqq5>; rel=""self""; type=""application/link-format""; from=""Wed, 27 Nov 2024 09:02:07 GMT"",
<http://web.archive.org/web/https://data.cdc.gov/Child-Vaccinations/Weekly-Cumulative-Influenza-Vaccination-Coverage-a/qr63-vqq5>; rel=""timegate"",
<http://web.archive.org/web/20241127090207/https://data.cdc.gov/Child-Vaccinations/Weekly-Cumulative-Influenza-Vaccination-Coverage-a/qr63-vqq5>; rel=""first memento""; datetime=""Wed, 27 Nov 2024 09:02:07 GMT"",
<http://web.archive.org/web/20250117211309/https://data.cdc.gov/Child-Vaccinations/Weekly-Cumulative-Influenza-Vaccination-Coverage-a/qr63-vqq5>; rel=""memento""; datetime=""Fri, 17 Jan 2025 21:13:09 GMT"",
<http://web.archive.org/web/20250201022338/https://data.cdc.gov/Child-Vaccinations/Weekly-Cumulative-Influenza-Vaccination-Coverage-a/qr63-vqq5>; rel=""memento""; datetime=""Sat, 01 Feb 2025 02:23:38 GMT"",
<http://web.archive.org/web/20250201211110/https://data.cdc.gov/Child-Vaccinations/Weekly-Cumulative-Influenza-Vaccination-Coverage-a/qr63-vqq5>; rel=""memento""; datetime=""Sat, 01 Feb 2025 21:11:10 GMT"",
<http://web.archive.org/web/20250202083541/https://data.cdc.gov/Child-Vaccinations/Weekly-Cumulative-Influenza-Vaccination-Coverage-a/qr63-vqq5>; rel=""memento""; datetime=""Sun, 02 Feb 2025 08:35:41 GMT"",
<http://web.archive.org/web/20250203014524/https://data.cdc.gov/Child-Vaccinations/Weekly-Cumulative-Influenza-Vaccination-Coverage-a/qr63-vqq5>; rel=""memento""; datetime=""Mon, 03 Feb 2025 01:45:24 GMT"",
<http://web.archive.org/web/20250203195509/https://data.cdc.gov/Child-Vaccinations/Weekly-Cumulative-Influenza-Vaccination-Coverage-a/qr63-vqq5>; rel=""memento""; datetime=""Mon, 03 Feb 2025 19:55:09 GMT"",
<http://web.archive.org/web/20250209035929/https://data.cdc.gov/Child-Vaccinations/Weekly-Cumulative-Influenza-Vaccination-Coverage-a/qr63-vqq5>; rel=""memento""; datetime=""Sun, 09 Feb 2025 03:59:29 GMT"",
<http://web.archive.org/web/20250209035931/https://data.cdc.gov/Child-Vaccinations/Weekly-Cumulative-Influenza-Vaccination-Coverage-a/qr63-vqq5/>; rel=""memento""; datetime=""Sun, 09 Feb 2025 03:59:31 GMT"",
<http://web.archive.org/web/20250209035950/https://data.cdc.gov/Child-Vaccinations/Weekly-Cumulative-Influenza-Vaccination-Coverage-a/qr63-vqq5>; rel=""memento""; datetime=""Sun, 09 Feb 2025 03:59:50 GMT""
","{'name': 'Weekly Cumulative Influenza Vaccination Coverage and Comparison Between 2023–24 and 2024–25± by Jurisdiction, Children 6 Months–17 Years, United States', 'id': 'qr63-vqq5', 'description': '• Weekly Cumulative Influenza Vaccination Coverage and Comparison Between 2023-24 and 2024-25 by Jurisdiction, Children 6 Months–17, United States.\n\n• Weekly Influenza vaccination coverage and parental intent for vaccination among children is calculated using data from the National Immunization Survey–Flu (NIS–Flu) (https://www.cdc.gov/nis/about/index.html). NIS–Flu is a national random-digit-dialed cellular telephone survey of households with children ages 6 months–17 years conducted during October-June. The respondent to a NIS–Flu survey is a parent or guardian who said they were knowledgeable about the child’s vaccination history. All estimates are based upon parental report of receipt of vaccination and month of that vaccination.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Child-Vaccinations/Weekly-Cumulative-Influenza-Vaccination-Coverage-a/qr63-vqq5'}"
"Weekly Cumulative Influenza Vaccination Coverage and Comparison Between 2024–25 and 2023–24, Overall, by Jurisdiction, Among Adults 18 Years and Older",rdng-ki53,rdng-ki53_1736738885.726313_Weekly_Cumulative_Influenza_Vaccination_Coverage_and_Comparison_Between_2024_25_and_2023_24__Overall__by_Jurisdiction__Among_Adults_18_Years_and_Older_20250113.csv.gz,2025-01-13 03:28:05 UTC,https://data.cdc.gov/Flu-Vaccinations/Weekly-Cumulative-Influenza-Vaccination-Coverage-a/rdng-ki53,"• Weekly Influenza Vaccination Coverage and Comparison among adults 18 Years and Older by Jurisdiction

 • Weekly estimates of influenza vaccination coverage and intent for vaccination among adults are calculated using data from the National Immunization Survey–Adult COVID Module (NIS–ACM) (https://www.cdc.gov/nis/about/).",,"{'name': 'Weekly Cumulative Influenza Vaccination Coverage and Comparison Between 2024–25 and 2023–24, Overall, by Jurisdiction, Among Adults 18 Years and Older', 'id': 'rdng-ki53', 'description': '• Weekly Influenza Vaccination Coverage and Comparison among adults 18 Years and Older by Jurisdiction\n\n • Weekly estimates of influenza vaccination coverage and intent for vaccination among adults are calculated using data from the National Immunization Survey–Adult COVID Module (NIS–ACM) (https://www.cdc.gov/nis/about/).', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Flu-Vaccinations/Weekly-Cumulative-Influenza-Vaccination-Coverage-a/rdng-ki53'}"
"Weekly Cumulative Influenza Vaccination Coverage by Flu Season, Selected Demographics, and Race and Ethnicity Among Children 6 Months-17 Years, United States",vncy-2ds7,vncy-2ds7_1736739207.012476_Weekly_Cumulative_Influenza_Vaccination_Coverage_by_Flu_Season__Selected_Demographics__and_Race_and_Ethnicity_Among_Children_6_Months-17_Years__United_States_20250113.csv.gz,2025-01-13 03:33:27 UTC,https://data.cdc.gov/Child-Vaccinations/Weekly-Cumulative-Influenza-Vaccination-Coverage-b/vncy-2ds7,"• Weekly Cumulative Influenza Vaccination Coverage by Flu Season, Selected Demographics, and Race and Ethnicity Among 6 Months-17 Years. 

• Weekly Influenza vaccination coverage and parental intent for vaccination among children is calculated using data from the National Immunization Survey–Flu (NIS–Flu) (https://www.cdc.gov/nis/about/index.html). NIS–Flu is a national random-digit-dialed cellular telephone survey of households with children ages 6 months–17 years conducted during October-June. The respondent to a NIS–Flu survey is a parent or guardian who said they were knowledgeable about the child’s vaccination history. All estimates are based upon parental report of receipt of vaccination and month of that vaccination.",,"{'name': 'Weekly Cumulative Influenza Vaccination Coverage by Flu Season, Selected Demographics, and Race and Ethnicity Among Children 6 Months-17 Years, United States', 'id': 'vncy-2ds7', 'description': '• Weekly Cumulative Influenza Vaccination Coverage by Flu Season, Selected Demographics, and Race and Ethnicity Among 6 Months-17 Years. \n\n• Weekly Influenza vaccination coverage and parental intent for vaccination among children is calculated using data from the National Immunization Survey–Flu (NIS–Flu) (https://www.cdc.gov/nis/about/index.html). NIS–Flu is a national random-digit-dialed cellular telephone survey of households with children ages 6 months–17 years conducted during October-June. The respondent to a NIS–Flu survey is a parent or guardian who said they were knowledgeable about the child’s vaccination history. All estimates are based upon parental report of receipt of vaccination and month of that vaccination.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Child-Vaccinations/Weekly-Cumulative-Influenza-Vaccination-Coverage-b/vncy-2ds7'}"
"Weekly Cumulative Influenza Vaccination Coverage, Adults 18 and Older, United States",2v3t-r3np,2v3t-r3np_1736722665.675673_Weekly_Cumulative_Influenza_Vaccination_Coverage__Adults_18_and_Older__United_States_20250112.csv.gz,2025-01-12 22:57:45 UTC,https://data.cdc.gov/Flu-Vaccinations/Weekly-Cumulative-Influenza-Vaccination-Coverage-A/2v3t-r3np,"Weekly Cumulative Influenza Vaccination Coverage, Adults 18 and Older, United States

• Influenza vaccination coverage among adults is assessed through the National Immunization Survey-Adult COVID Module providing weekly influenza vaccination coverage estimates. (https://www.cdc.gov/vaccines/imz-managers/nis/about.html)
• NIS-ACM was started in April 2021 to survey adults 18 years and older COVID-19 vaccination uptake and vaccine confidence. 
• Final estimates for prior seasons and other flu vaccination data are available at CDC’s FluVaxView: https://www.cdc.gov/flu/fluvaxview/index.htm.",,"{'name': 'Weekly Cumulative Influenza Vaccination Coverage, Adults 18 and Older, United States', 'id': '2v3t-r3np', 'description': 'Weekly Cumulative Influenza Vaccination Coverage, Adults 18 and Older, United States\n\n• Influenza vaccination coverage among adults is assessed through the National Immunization Survey-Adult COVID Module providing weekly influenza vaccination coverage estimates. (https://www.cdc.gov/vaccines/imz-managers/nis/about.html)\n• NIS-ACM was started in April 2021 to survey adults 18 years and older COVID-19 vaccination uptake and vaccine confidence. \n• Final estimates for prior seasons and other flu vaccination data are available at CDC’s FluVaxView: https://www.cdc.gov/flu/fluvaxview/index.htm.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Flu-Vaccinations/Weekly-Cumulative-Influenza-Vaccination-Coverage-A/2v3t-r3np'}"
"Weekly Cumulative Influenza Vaccination Coverage, Children 6 months through 17 years, United States",eudc-n39h,eudc-n39h_1736718515.553438_Weekly_Cumulative_Influenza_Vaccination_Coverage__Children_6_months_through_17_years__United_States_20250112.csv.gz,2025-01-12 21:48:35 UTC,https://data.cdc.gov/Vaccinations/Weekly-Cumulative-Influenza-Vaccination-Coverage-C/eudc-n39h,"Weekly Cumulative Influenza Vaccination Coverage, Children 6 months through 17 years, United States

• Archived data are available here:  https://data.cdc.gov/resource/vfj2-bfuw 
• Influenza vaccination coverage among children is assessed through the National Immunization Survey-Flu (NIS-Flu) annually, providing weekly influenza vaccination coverage estimates for children 6 months–17 years based upon parental report. (https://www.cdc.gov/vaccines/imz-managers/nis/about.html)
o NIS-Flu is a national random-digit-dialed cellular telephone survey of households conducted during the flu season (October-June).
• Final estimates for prior seasons and other flu vaccination data are available at CDC’s FluVaxView:  https://www.cdc.gov/flu/fluvaxview/index.htm.",,"{'name': 'Weekly Cumulative Influenza Vaccination Coverage, Children 6 months through 17 years, United States', 'id': 'eudc-n39h', 'description': 'Weekly Cumulative Influenza Vaccination Coverage, Children 6 months through 17 years, United States\n\n• Archived data are available here:  https://data.cdc.gov/resource/vfj2-bfuw \n• Influenza vaccination coverage among children is assessed through the National Immunization Survey-Flu (NIS-Flu) annually, providing weekly influenza vaccination coverage estimates for children 6 months–17 years based upon parental report. (https://www.cdc.gov/vaccines/imz-managers/nis/about.html)\no NIS-Flu is a national random-digit-dialed cellular telephone survey of households conducted during the flu season (October-June).\n• Final estimates for prior seasons and other flu vaccination data are available at CDC’s FluVaxView:  https://www.cdc.gov/flu/fluvaxview/index.htm.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/Weekly-Cumulative-Influenza-Vaccination-Coverage-C/eudc-n39h'}"
"Weekly Cumulative Influenza Vaccination Coverage, Children 6 months through 17 years, United States",vfj2-bfuw,vfj2-bfuw_1736736854.264239_Weekly_Cumulative_Influenza_Vaccination_Coverage__Children_6_months_through_17_years__United_States_20250113.csv.gz,2025-01-13 02:54:14 UTC,https://data.cdc.gov/Vaccinations/Weekly-Cumulative-Influenza-Vaccination-Coverage-C/vfj2-bfuw,"Weekly Cumulative Influenza Vaccination Coverage, Children 6 months through 17 years, United States
• Influenza vaccination coverage among children is assessed through the National Immunization Survey-Flu (NIS-Flu) annually, providing weekly influenza vaccination coverage estimates for children 6 months–17 years based upon parental report. (https://www.cdc.gov/vaccines/imz-managers/nis/about.html)
o NIS-Flu is a national random-digit-dialed cellular telephone survey of households conducted during the flu season (October-June).
• Additional information about NIS-Flu methods and estimates from the 2019-2020 season are available at: https://www.cdc.gov/flu/fluvaxview/coverage-1920estimates.htm.","<https://data.cdc.gov/Vaccinations/Weekly-Cumulative-Influenza-Vaccination-Coverage-C/vfj2-bfuw>; rel=""original"",
<http://web.archive.org/web/timemap/link/https://data.cdc.gov/Vaccinations/Weekly-Cumulative-Influenza-Vaccination-Coverage-C/vfj2-bfuw>; rel=""self""; type=""application/link-format""; from=""Fri, 31 Mar 2023 18:30:24 GMT"",
<http://web.archive.org/web/https://data.cdc.gov/Vaccinations/Weekly-Cumulative-Influenza-Vaccination-Coverage-C/vfj2-bfuw>; rel=""timegate"",
<http://web.archive.org/web/20230331183024/https://data.cdc.gov/Vaccinations/Weekly-Cumulative-Influenza-Vaccination-Coverage-C/vfj2-bfuw>; rel=""first memento""; datetime=""Fri, 31 Mar 2023 18:30:24 GMT"",
<http://web.archive.org/web/20241126044640/https://data.cdc.gov/Vaccinations/Weekly-Cumulative-Influenza-Vaccination-Coverage-C/vfj2-bfuw>; rel=""memento""; datetime=""Tue, 26 Nov 2024 04:46:40 GMT"",
<http://web.archive.org/web/20241127090300/https://data.cdc.gov/Vaccinations/Weekly-Cumulative-Influenza-Vaccination-Coverage-C/vfj2-bfuw>; rel=""memento""; datetime=""Wed, 27 Nov 2024 09:03:00 GMT"",
<http://web.archive.org/web/20250107065121/https://data.cdc.gov/Vaccinations/Weekly-Cumulative-Influenza-Vaccination-Coverage-C/vfj2-bfuw>; rel=""memento""; datetime=""Tue, 07 Jan 2025 06:51:21 GMT"",
<http://web.archive.org/web/20250118003423/https://data.cdc.gov/Vaccinations/Weekly-Cumulative-Influenza-Vaccination-Coverage-C/vfj2-bfuw>; rel=""memento""; datetime=""Sat, 18 Jan 2025 00:34:23 GMT"",
<http://web.archive.org/web/20250201003401/https://data.cdc.gov/Vaccinations/Weekly-Cumulative-Influenza-Vaccination-Coverage-C/vfj2-bfuw>; rel=""memento""; datetime=""Sat, 01 Feb 2025 00:34:01 GMT"",
<http://web.archive.org/web/20250201204859/https://data.cdc.gov/Vaccinations/Weekly-Cumulative-Influenza-Vaccination-Coverage-C/vfj2-bfuw>; rel=""memento""; datetime=""Sat, 01 Feb 2025 20:48:59 GMT"",
<http://web.archive.org/web/20250202083130/https://data.cdc.gov/Vaccinations/Weekly-Cumulative-Influenza-Vaccination-Coverage-C/vfj2-bfuw>; rel=""memento""; datetime=""Sun, 02 Feb 2025 08:31:30 GMT"",
<http://web.archive.org/web/20250203094103/https://data.cdc.gov/Vaccinations/Weekly-Cumulative-Influenza-Vaccination-Coverage-C/vfj2-bfuw>; rel=""memento""; datetime=""Mon, 03 Feb 2025 09:41:03 GMT"",
<http://web.archive.org/web/20250205131303/https://data.cdc.gov/Vaccinations/Weekly-Cumulative-Influenza-Vaccination-Coverage-C/vfj2-bfuw>; rel=""memento""; datetime=""Wed, 05 Feb 2025 13:13:03 GMT"",
<http://web.archive.org/web/20250206094104/https://data.cdc.gov/Vaccinations/Weekly-Cumulative-Influenza-Vaccination-Coverage-C/vfj2-bfuw/>; rel=""memento""; datetime=""Thu, 06 Feb 2025 09:41:04 GMT"",
<http://web.archive.org/web/20250206094123/https://data.cdc.gov/Vaccinations/Weekly-Cumulative-Influenza-Vaccination-Coverage-C/vfj2-bfuw>; rel=""memento""; datetime=""Thu, 06 Feb 2025 09:41:23 GMT"",
<http://web.archive.org/web/20250206094125/https://data.cdc.gov/Vaccinations/Weekly-Cumulative-Influenza-Vaccination-Coverage-C/vfj2-bfuw>; rel=""memento""; datetime=""Thu, 06 Feb 2025 09:41:25 GMT""
","{'name': 'Weekly Cumulative Influenza Vaccination Coverage, Children 6 months through 17 years, United States', 'id': 'vfj2-bfuw', 'description': 'Weekly Cumulative Influenza Vaccination Coverage, Children 6 months through 17 years, United States\n• Influenza vaccination coverage among children is assessed through the National Immunization Survey-Flu (NIS-Flu) annually, providing weekly influenza vaccination coverage estimates for children 6 months–17 years based upon parental report. (https://www.cdc.gov/vaccines/imz-managers/nis/about.html)\no NIS-Flu is a national random-digit-dialed cellular telephone survey of households conducted during the flu season (October-June).\n• Additional information about NIS-Flu methods and estimates from the 2019-2020 season are available at: https://www.cdc.gov/flu/fluvaxview/coverage-1920estimates.htm.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/Weekly-Cumulative-Influenza-Vaccination-Coverage-C/vfj2-bfuw'}"
"Weekly Cumulative Influenza Vaccination Coverage, by Flu Season and Race/Ethnicity, Medicare Fee-For-Service Beneficiaries aged ≥65 years, United States",g57i-yx3r,g57i-yx3r_1736720114.278968_Weekly_Cumulative_Influenza_Vaccination_Coverage__by_Flu_Season_and_Race_Ethnicity__Medicare_Fee-For-Service_Beneficiaries_aged__65_years__United_States_20250112.csv.gz,2025-01-12 22:15:14 UTC,https://data.cdc.gov/Vaccinations/Weekly-Cumulative-Influenza-Vaccination-Coverage-b/g57i-yx3r,"Weekly Cumulative Influenza Vaccination Coverage, by Flu Season and Race/Ethnicity, Medicare Fee-For-Service Beneficiaries aged ≥65 years, United States 

•	Influenza vaccination coverage among Medicare fee-for-service beneficiaries aged ≥65 years is assessed using data files from the Medicare Fee-For-Service (FFS) administrative claims data managed by the Centers for Medicare & Medicaid Services (CMS). 

•	Weekly influenza vaccination coverage estimates were calculated using Kaplan-Meier survival analysis, based on beneficiaries enrolled as of August 1, 2019 and followed through May 31, 2020 for 2019-20 flu season; and enrolled as of August 1, 2020 and followed through May 31, 2021 for 2020-21 flu season; and enrolled as of Aug 1, 2021 and followed through May 28, 2022 for the 2021-22 flu season. 

•	Additional information about data source is available https://www2.ccwdata.org/web/guest/home/.",,"{'name': 'Weekly Cumulative Influenza Vaccination Coverage, by Flu Season and Race/Ethnicity, Medicare Fee-For-Service Beneficiaries aged ≥65 years, United States', 'id': 'g57i-yx3r', 'description': 'Weekly Cumulative Influenza Vaccination Coverage, by Flu Season and Race/Ethnicity, Medicare Fee-For-Service Beneficiaries aged ≥65 years, United States \n\n•\tInfluenza vaccination coverage among Medicare fee-for-service beneficiaries aged ≥65 years is assessed using data files from the Medicare Fee-For-Service (FFS) administrative claims data managed by the Centers for Medicare & Medicaid Services (CMS). \n\n•\tWeekly influenza vaccination coverage estimates were calculated using Kaplan-Meier survival analysis, based on beneficiaries enrolled as of August 1, 2019 and followed through May 31, 2020 for 2019-20 flu season; and enrolled as of August 1, 2020 and followed through May 31, 2021 for 2020-21 flu season; and enrolled as of Aug 1, 2021 and followed through May 28, 2022 for the 2021-22 flu season. \n\n•\tAdditional information about data source is available https://www2.ccwdata.org/web/guest/home/.', 'datatype': 'tabular', 'keywords': ['health', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/Weekly-Cumulative-Influenza-Vaccination-Coverage-b/g57i-yx3r'}"
Weekly Cumulative Influenza Vaccine Doses Distributed in the United States,e5zk-7tx5,e5zk-7tx5_1736732145.719743_Weekly_Cumulative_Influenza_Vaccine_Doses_Distributed_in_the_United_States_20250113.csv.gz,2025-01-13 01:35:45 UTC,https://data.cdc.gov/Vaccinations/Weekly-Cumulative-Influenza-Vaccine-Doses-Distribu/e5zk-7tx5,"Weekly Cumulative Influenza Vaccine Doses Distributed in the United States, 2016-2021

• Flu vaccine is produced by private manufacturers. For the 2020-2021 season, manufacturers have projected they will provide as many as 194 to 198 million doses of influenza vaccine for the U.S. market.
• Additional information is available: https://www.cdc.gov/flu/prevent/vaccine-supply-distribution.htm.",,"{'name': 'Weekly Cumulative Influenza Vaccine Doses Distributed in the United States', 'id': 'e5zk-7tx5', 'description': 'Weekly Cumulative Influenza Vaccine Doses Distributed in the United States, 2016-2021\n\n• Flu vaccine is produced by private manufacturers. For the 2020-2021 season, manufacturers have projected they will provide as many as 194 to 198 million doses of influenza vaccine for the U.S. market.\n• Additional information is available: https://www.cdc.gov/flu/prevent/vaccine-supply-distribution.htm.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/Weekly-Cumulative-Influenza-Vaccine-Doses-Distribu/e5zk-7tx5'}"
Weekly Cumulative Percentage of Adults 18 Years and Older Vaccinated with the Updated 2023-24 COVID-19 Vaccine by Jurisdiction,sjpm-fk4b,sjpm-fk4b_1736735003.666619_Weekly_Cumulative_Percentage_of_Adults_18_Years_and_Older_Vaccinated_with_the_Updated_2023-24_COVID-19_Vaccine_by_Jurisdiction_20250113.csv.gz,2025-01-13 02:23:23 UTC,https://data.cdc.gov/Vaccinations/Weekly-Cumulative-Percentage-of-Adults-18-Years-an/sjpm-fk4b,"Weekly COVID-19 Vaccination Coverage of Adults 18 Years and Older by Jurisdiction

• COVID-19 vaccination coverage among adults 18 years and older is assessed through the National Immunization Survey-Adult COVID Module, providing weekly COVID-19 vaccination coverage estimates. (https://www.cdc.gov/vaccines/imz-managers/nis/about.html)

• Starting in September 2023, the CDC recommended the 2023-2024 updated COVID-19 vaccine for adults ages 18 years and older.",,"{'name': 'Weekly Cumulative Percentage of Adults 18 Years and Older Vaccinated with the Updated 2023-24 COVID-19 Vaccine by Jurisdiction', 'id': 'sjpm-fk4b', 'description': 'Weekly COVID-19 Vaccination Coverage of Adults 18 Years and Older by Jurisdiction\n\n• COVID-19 vaccination coverage among adults 18 years and older is assessed through the National Immunization Survey-Adult COVID Module, providing weekly COVID-19 vaccination coverage estimates. (https://www.cdc.gov/vaccines/imz-managers/nis/about.html)\n\n• Starting in September 2023, the CDC recommended the 2023-2024 updated COVID-19 vaccine for adults ages 18 years and older.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/Weekly-Cumulative-Percentage-of-Adults-18-Years-an/sjpm-fk4b'}"
Weekly Cumulative Percentage of Adults 60 Years and Older Vaccinated with Respiratory Syncytial Virus (RSV) Vaccine by Jurisdiction,qve4-fp9c,qve4-fp9c_1736736713.832619_Weekly_Cumulative_Percentage_of_Adults_60_Years_and_Older_Vaccinated_with_Respiratory_Syncytial_Virus__RSV__Vaccine_by_Jurisdiction_20250113.csv.gz,2025-01-13 02:51:53 UTC,https://data.cdc.gov/Vaccinations/Weekly-Cumulative-Percentage-of-Adults-60-Years-an/qve4-fp9c,"Weekly RSV Vaccination Coverage of Adults 60 Years and Older by Jurisdiction 

• RSV vaccination coverage among adults 60 years and older is assessed through the National Immunization Survey-Adult COVID Module providing weekly RSV vaccination coverage estimates. (https://www.cdc.gov/vaccines/imz-managers/nis/about.html) 

• The CDC recommended the RSV vaccine for adults 60 years and older in July 2023. (https://www.cdc.gov/respiratory-viruses/whats-new/rsv-update-2023-09-22.html)",,"{'name': 'Weekly Cumulative Percentage of Adults 60 Years and Older Vaccinated with Respiratory Syncytial Virus (RSV) Vaccine by Jurisdiction', 'id': 'qve4-fp9c', 'description': 'Weekly RSV Vaccination Coverage of Adults 60 Years and Older by Jurisdiction \n\n• RSV vaccination coverage among adults 60 years and older is assessed through the National Immunization Survey-Adult COVID Module providing weekly RSV vaccination coverage estimates. (https://www.cdc.gov/vaccines/imz-managers/nis/about.html) \n\n• The CDC recommended the RSV vaccine for adults 60 years and older in July 2023. (https://www.cdc.gov/respiratory-viruses/whats-new/rsv-update-2023-09-22.html)', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/Weekly-Cumulative-Percentage-of-Adults-60-Years-an/qve4-fp9c'}"
Weekly Cumulative Percentage of Children Ages 6 Months -17 Years Who Are Up to date with COVID-19 Vaccines and Comparison Between 2023-24 and 2024-25 by Jurisdiction,n97r-u9uh,n97r-u9uh_1736739192.732608_Weekly_Cumulative_Percentage_of_Children_Ages_6_Months_-17_Years_Who_Are_Up_to_date_with_COVID-19_Vaccines_and_Comparison_Between_2023-24_and_2024-25_by_Jurisdiction_20250113.csv.gz,2025-01-13 03:33:12 UTC,https://data.cdc.gov/Child-Vaccinations/Weekly-Cumulative-Percentage-of-Children-Ages-6-Mo/n97r-u9uh,"• Weekly Cumulative Percentage of Children 6 Months–17 Years Who Are Up to Date with COVID-19 Vaccines and Comparison Between 2023–24 and 2024–25 by Jurisdiction.

• Weekly estimates of COVID-19 vaccination coverage and parental intent for vaccination among children through December 31, 2023, were calculated using data from the National Immunization Survey–Child COVID Module (NIS–CCM). The NIS–CCM was discontinued at the end of 2023 and questions regarding COVID-19 vaccination status and intent were added to the National Immunization Survey–Flu (NIS–Flu) (https://www.cdc.gov/nis/about/index.html).",,"{'name': 'Weekly Cumulative Percentage of Children Ages 6 Months -17 Years Who Are Up to date with COVID-19 Vaccines and Comparison Between 2023-24 and 2024-25 by Jurisdiction', 'id': 'n97r-u9uh', 'description': '• Weekly Cumulative Percentage of Children 6 Months–17 Years Who Are Up to Date with COVID-19 Vaccines and Comparison Between 2023–24 and 2024–25 by Jurisdiction.\n\n• Weekly estimates of COVID-19 vaccination coverage and parental intent for vaccination among children through December 31, 2023, were calculated using data from the National Immunization Survey–Child COVID Module (NIS–CCM). The NIS–CCM was discontinued at the end of 2023 and questions regarding COVID-19 vaccination status and intent were added to the National Immunization Survey–Flu (NIS–Flu) (https://www.cdc.gov/nis/about/index.html).', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Child-Vaccinations/Weekly-Cumulative-Percentage-of-Children-Ages-6-Mo/n97r-u9uh'}"
"Weekly Cumulative Percentage of Children Ages 6 Months -17 Years Who Are Up to date with COVID-19 Vaccines by Selected Demographics and by Season, United States",skkh-jsrk,skkh-jsrk_1736739161.256128_Weekly_Cumulative_Percentage_of_Children_Ages_6_Months_-17_Years_Who_Are_Up_to_date_with_COVID-19_Vaccines_by_Selected_Demographics_and_by_Season__United_States_20250113.csv.gz,2025-01-13 03:32:41 UTC,https://data.cdc.gov/Child-Vaccinations/Weekly-Cumulative-Percentage-of-Children-Ages-6-Mo/skkh-jsrk,"• Weekly Cumulative Percentage of Children 6 Months–17 Years Who Are Up to Date with COVID-19 Vaccines by Selected Demographics and by Season.

• Weekly estimates of COVID-19 vaccination coverage and parental intent for vaccination among children through December 31, 2023, were calculated using data from the National Immunization Survey–Child COVID Module (NIS–CCM). The NIS–CCM was discontinued at the end of 2023 and questions regarding COVID-19 vaccination status and intent were added to the National Immunization Survey–Flu (NIS–Flu) (https://www.cdc.gov/nis/about/index.html).

• Please note, weekly estimates for children 6 months to 4 years and 5 to 11 years from January-June 2024 have been updated due to a mistake in age group coding.",,"{'name': 'Weekly Cumulative Percentage of Children Ages 6 Months -17 Years Who Are Up to date with COVID-19 Vaccines by Selected Demographics and by Season, United States', 'id': 'skkh-jsrk', 'description': '• Weekly Cumulative Percentage of Children 6 Months–17 Years Who Are Up to Date with COVID-19 Vaccines by Selected Demographics and by Season.\n\n• Weekly estimates of COVID-19 vaccination coverage and parental intent for vaccination among children through December 31, 2023, were calculated using data from the National Immunization Survey–Child COVID Module (NIS–CCM). The NIS–CCM was discontinued at the end of 2023 and questions regarding COVID-19 vaccination status and intent were added to the National Immunization Survey–Flu (NIS–Flu) (https://www.cdc.gov/nis/about/index.html).\n\n• Please note, weekly estimates for children 6 months to 4 years and 5 to 11 years from January-June 2024 have been updated due to a mistake in age group coding.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Child-Vaccinations/Weekly-Cumulative-Percentage-of-Children-Ages-6-Mo/skkh-jsrk'}"
"Weekly Cumulative Percentage of Children Ages 6 Months -17 Years who are up to date with the updated 2023-24 COVID-19 Vaccine, by Jurisdiction",8jp2-ecz7,8jp2-ecz7_1736729614.833008_Weekly_Cumulative_Percentage_of_Children_Ages_6_Months_-17_Years_who_are_up_to_date_with_the_updated_2023-24_COVID-19_Vaccine__by_Jurisdiction_20250113.csv.gz,2025-01-13 00:53:34 UTC,https://data.cdc.gov/Child-Vaccinations/Weekly-Cumulative-Percentage-of-Children-Ages-6-Mo/8jp2-ecz7,"• Weekly COVID-19 vaccination coverage estimates among children 6 months to 17 years is assessed through the National Immunization Survey (https://www.cdc.gov/vaccines/imz-managers/nis/about.html). 

• Weekly estimates of COVID-19 vaccination coverage among children through December 31, 2023, were calculated using data from the National Immunization Survey-Child COVID Module (NIS-CCM) (https://www.cdc.gov/vaccines/imz-managers/nis/about.html#nis-ccm). Beginning January 2, 2024, the NIS-CCM was discontinued, and questions regarding receipt of COVID-19 vaccination among children were added to the NIS-Flu (https://www.cdc.gov/vaccines/imz-managers/nis/about.html#nis-cim). 

• Starting in September 2023, the CDC recommended the 2023-2024 updated COVID-19 vaccine to protect against serious illness from COVID-19.",,"{'name': 'Weekly Cumulative Percentage of Children Ages 6 Months -17 Years who are up to date with the updated 2023-24 COVID-19 Vaccine, by Jurisdiction', 'id': '8jp2-ecz7', 'description': '• Weekly COVID-19 vaccination coverage estimates among children 6 months to 17 years is assessed through the National Immunization Survey (https://www.cdc.gov/vaccines/imz-managers/nis/about.html). \n\n• Weekly estimates of COVID-19 vaccination coverage among children through December 31, 2023, were calculated using data from the National Immunization Survey-Child COVID Module (NIS-CCM) (https://www.cdc.gov/vaccines/imz-managers/nis/about.html#nis-ccm). Beginning January 2, 2024, the NIS-CCM was discontinued, and questions regarding receipt of COVID-19 vaccination among children were added to the NIS-Flu (https://www.cdc.gov/vaccines/imz-managers/nis/about.html#nis-cim). \n\n• Starting in September 2023, the CDC recommended the 2023-2024 updated COVID-19 vaccine to protect against serious illness from COVID-19.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Child-Vaccinations/Weekly-Cumulative-Percentage-of-Children-Ages-6-Mo/8jp2-ecz7'}"
"Weekly Cumulative RSV Vaccination Coverage and Intent, Overall, by Selected Demographics and Jurisdiction, Among Adults 75 and Older and 60-74 Years with High-Risk Conditions Ever Vaccinated, United States",k4cb-dxd7,k4cb-dxd7_1736737622.557548_Weekly_Cumulative_RSV_Vaccination_Coverage_and_Intent__Overall__by_Selected_Demographics_and_Jurisdiction__Among_Adults_75_and_Older_and_60-74_Years_with_High-Risk_Conditions_Ever_Vaccinated__United_States_20250113.csv.gz,2025-01-13 03:07:02 UTC,https://data.cdc.gov/Vaccinations/Weekly-Cumulative-RSV-Vaccination-Coverage-and-Int/k4cb-dxd7,"• Weekly Cumulative RSV Vaccination Coverage and Intent Among Adults 75 Years and Older and 60─74 Years with High Risk Conditions Ever Vaccinated with RSV Vaccine by Demographic Characteristics and Jurisdiction 

• Weekly estimates of RSV vaccination coverage and intent among adults 75 years and older and 60─74 years with high risk conditions are calculated using data from the National Immunization Survey–Adult COVID Module (NIS–ACM) (https://www.cdc.gov/nis/about/index.html). 

• In June 2023, the Advisory Committee on Immunization Practices (ACIP) voted to recommend that adults aged ≥60 years may receive a single dose of an RSV vaccine, using shared clinical decision-making. In June 2024, the ACIP voted to recommend a single dose of RSV vaccine for all adults 75 years and older and adults 60–74 years who are at increased risk for severe RSV disease. The data below captures ever receiving a dose of an RSV vaccine by adults 60 years and older.",,"{'name': 'Weekly Cumulative RSV Vaccination Coverage and Intent, Overall, by Selected Demographics and Jurisdiction, Among Adults 75 and Older and 60-74 Years with High-Risk Conditions Ever Vaccinated, United States', 'id': 'k4cb-dxd7', 'description': '• Weekly Cumulative RSV Vaccination Coverage and Intent Among Adults 75 Years and Older and 60─74 Years with High Risk Conditions Ever Vaccinated with RSV Vaccine by Demographic Characteristics and Jurisdiction \n\n• Weekly estimates of RSV vaccination coverage and intent among adults 75 years and older and 60─74 years with high risk conditions are calculated using data from the National Immunization Survey–Adult COVID Module (NIS–ACM) (https://www.cdc.gov/nis/about/index.html). \n\n• In June 2023, the Advisory Committee on Immunization Practices (ACIP) voted to recommend that adults aged ≥60 years may receive a single dose of an RSV vaccine, using shared clinical decision-making. In June 2024, the ACIP voted to recommend a single dose of RSV vaccine for all adults 75 years and older and adults 60–74 years who are at increased risk for severe RSV disease. The data below captures ever receiving a dose of an RSV vaccine by adults 60 years and older.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/Weekly-Cumulative-RSV-Vaccination-Coverage-and-Int/k4cb-dxd7'}"
"Weekly Cumulative RSV Vaccination Coverage, by Race and Ethnicity, Medicare Fee-For-Service Beneficiaries aged ≥65 years, United States, Data Source: Centers for Medicare & Medicaid Services Chronic Conditions Warehouse",55uq-699y,55uq-699y_1736736740.793138_Weekly_Cumulative_RSV_Vaccination_Coverage__by_Race_and_Ethnicity__Medicare_Fee-For-Service_Beneficiaries_aged__65_years__United_States__Data_Source__Centers_for_Medicare___Medicaid_Services_Chronic_Conditions_Warehouse_.csv.gz,2025-01-13 02:52:20 UTC,https://data.cdc.gov/Vaccinations/Weekly-Cumulative-RSV-Vaccination-Coverage-by-Race/55uq-699y,"Weekly Cumulative RSV Vaccination Coverage, by Race and Ethnicity, Medicare Fee-For-Service Beneficiaries aged 65 years

• Estimated COVID-19 vaccination coverage among Medicare fee-for-service beneficiaries >65 years is assessed using data files from the Medicare Fee-For-Service (FFS) administrative claims data managed by the Centers for Medicare & Medicaid Services (CMS). 

• Starting in July 2023, the CDC recommended the RSV vaccine to protect against serious illness from RSV. (https://www.cdc.gov/respiratory-viruses/whats-new/rsv-update-2023-09-22.html",,"{'name': 'Weekly Cumulative RSV Vaccination Coverage, by Race and Ethnicity, Medicare Fee-For-Service Beneficiaries aged ≥65 years, United States, Data Source: Centers for Medicare & Medicaid Services Chronic Conditions Warehouse', 'id': '55uq-699y', 'description': 'Weekly Cumulative RSV Vaccination Coverage, by Race and Ethnicity, Medicare Fee-For-Service Beneficiaries aged 65 years\n\n• Estimated COVID-19 vaccination coverage among Medicare fee-for-service beneficiaries >65 years is assessed using data files from the Medicare Fee-For-Service (FFS) administrative claims data managed by the Centers for Medicare & Medicaid Services (CMS). \n\n• Starting in July 2023, the CDC recommended the RSV vaccine to protect against serious illness from RSV. (https://www.cdc.gov/respiratory-viruses/whats-new/rsv-update-2023-09-22.html', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/Weekly-Cumulative-RSV-Vaccination-Coverage-by-Race/55uq-699y'}"
"Weekly Cumulative Updated 2023-24 COVID-19 Vaccination Coverage, by Race and Ethnicity, Medicare Fee-For-Service Beneficiaries aged ≥65 years, United States, Data Source: Centers for Medicare & Medicaid Services Chronic Conditions Warehouse",brsb-akdp,brsb-akdp_1736734826.273777_Weekly_Cumulative_Updated_2023-24_COVID-19_Vaccination_Coverage__by_Race_and_Ethnicity__Medicare_Fee-For-Service_Beneficiaries_aged__65_years__United_States__Data_Source__Centers_for_Medicare___Medicaid_Services_Chronic_.csv.gz,2025-01-13 02:20:26 UTC,https://data.cdc.gov/Vaccinations/Weekly-Cumulative-Updated-2023-24-COVID-19-Vaccina/brsb-akdp,"Weekly Cumulative Updated 2023-24 COVID-19 Vaccination Coverage, by Race and Ethnicity, Medicare Fee-For-Service Beneficiaries aged ≥65 years 

• Estimated COVID-19 vaccination coverage among Medicare fee-for-service beneficiaries >65 years is assessed using data files from the Medicare Fee-For-Service (FFS) administrative claims data managed by the Centers for Medicare & Medicaid Services (CMS).

• Starting in September 2023, the CDC recommended the 2023-2024 updated COVID-19 vaccine to protect against serious illness from COVID-19. (https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html)
 ",,"{'name': 'Weekly Cumulative Updated 2023-24 COVID-19 Vaccination Coverage, by Race and Ethnicity, Medicare Fee-For-Service Beneficiaries aged ≥65 years, United States, Data Source: Centers for Medicare & Medicaid Services Chronic Conditions Warehouse', 'id': 'brsb-akdp', 'description': 'Weekly Cumulative Updated 2023-24 COVID-19 Vaccination Coverage, by Race and Ethnicity, Medicare Fee-For-Service Beneficiaries aged ≥65 years \n\n• Estimated COVID-19 vaccination coverage among Medicare fee-for-service beneficiaries >65 years is assessed using data files from the Medicare Fee-For-Service (FFS) administrative claims data managed by the Centers for Medicare & Medicaid Services (CMS).\n\n• Starting in September 2023, the CDC recommended the 2023-2024 updated COVID-19 vaccine to protect against serious illness from COVID-19. (https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html)\n\u2003', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/Weekly-Cumulative-Updated-2023-24-COVID-19-Vaccina/brsb-akdp'}"
"Weekly Differences in Cumulative COVID-19 Vaccination Coverage and Comparison Between 2024–25 and 2023–24 Among Adults 18 Years, Overall, by Selected Demographics",8yup-c35n,8yup-c35n_1736738519.658062_Weekly_Differences_in_Cumulative_COVID-19_Vaccination_Coverage_and_Comparison_Between_2024_25_and_2023_24_Among_Adults_18_Years__Overall__by_Selected_Demographics_20250113.csv.gz,2025-01-13 03:21:59 UTC,https://data.cdc.gov/Vaccinations/Weekly-Differences-in-Cumulative-COVID-19-Vaccinat/8yup-c35n,"• Weekly COVID-19 Vaccination Coverage and Comparison among adults 18 Years and Older by Jurisdiction

 • Weekly estimates of COVID-19 vaccination coverage and intent for vaccination among adults are calculated using data from the National Immunization Survey–Adult COVID Module (NIS–ACM) (https://www.cdc.gov/nis/about/index.html).

 • Weekly comparisons to previous season should take into account differences between seasons in vaccine availability dates. 2023–24 COVID-19 vaccines were first available mid-September 2023, and 2024–25 COVID-19 vaccines were first available at the end of August 2024. ",,"{'name': 'Weekly Differences in Cumulative COVID-19 Vaccination Coverage and Comparison Between 2024–25 and 2023–24 Among Adults 18 Years, Overall, by Selected Demographics', 'id': '8yup-c35n', 'description': '• Weekly COVID-19 Vaccination Coverage and Comparison among adults 18 Years and Older by Jurisdiction\n\n • Weekly estimates of COVID-19 vaccination coverage and intent for vaccination among adults are calculated using data from the National Immunization Survey–Adult COVID Module (NIS–ACM) (https://www.cdc.gov/nis/about/index.html).\n\n • Weekly comparisons to previous season should take into account differences between seasons in vaccine availability dates. 2023–24 COVID-19 vaccines were first available mid-September 2023, and 2024–25 COVID-19 vaccines were first available at the end of August 2024.\u202f', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/Weekly-Differences-in-Cumulative-COVID-19-Vaccinat/8yup-c35n'}"
"Weekly Differences in Cumulative COVID-19 Vaccination Coverage and Comparison Between 2024–25 and 2023–24, Overall, by Jurisdiction Among Adults 18 Years",eanj-9nie,eanj-9nie_1736738645.045950_Weekly_Differences_in_Cumulative_COVID-19_Vaccination_Coverage_and_Comparison_Between_2024_25_and_2023_24__Overall__by_Jurisdiction_Among_Adults_18_Years_20250113.csv.gz,2025-01-13 03:24:05 UTC,https://data.cdc.gov/Vaccinations/Weekly-Differences-in-Cumulative-COVID-19-Vaccinat/eanj-9nie,"Weekly COVID-19 Vaccination Coverage of Adults18 Years and Older by Jurisdiction • Weekly estimates of COVID-19 vaccination coverage and intent among adults 18 years and older are calculated using data from the National Immunization Survey–Adult COVID Module (NIS–ACM)(https://www.cdc.gov/nis/about/index.html). 

Weekly comparisons to previous season should take into account differences between seasons in vaccine availability dates. 2023–24 COVID-19 vaccines were first available mid-September 2023, and 2024–25 COVID-19 vaccines were first available at the end of August 2024.",,"{'name': 'Weekly Differences in Cumulative COVID-19 Vaccination Coverage and Comparison Between 2024–25 and 2023–24, Overall, by Jurisdiction Among Adults 18 Years', 'id': 'eanj-9nie', 'description': 'Weekly COVID-19 Vaccination Coverage of Adults18 Years and Older by Jurisdiction • Weekly estimates of COVID-19 vaccination coverage and intent among adults 18 years and older are calculated using data from the National Immunization Survey–Adult COVID Module (NIS–ACM)(https://www.cdc.gov/nis/about/index.html). \n\nWeekly comparisons to previous season should take into account differences between seasons in vaccine availability dates. 2023–24 COVID-19 vaccines were first available mid-September 2023, and 2024–25 COVID-19 vaccines were first available at the end of August 2024.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/Weekly-Differences-in-Cumulative-COVID-19-Vaccinat/eanj-9nie'}"
"Weekly Differences in Cumulative Influenza Vaccination Coverage and Comparison Between 2024-25 and 2023-24 Among Adults 18 Years, Overall, by Selected Demographics",4g6p-3ed6,4g6p-3ed6_1736738831.560103_Weekly_Differences_in_Cumulative_Influenza_Vaccination_Coverage_and_Comparison_Between_2024-25_and_2023-24_Among_Adults_18_Years__Overall__by_Selected_Demographics_20250113.csv.gz,2025-01-13 03:27:11 UTC,https://data.cdc.gov/Flu-Vaccinations/Weekly-Differences-in-Cumulative-Influenza-Vaccina/4g6p-3ed6,"• Weekly Influenza Vaccination Coverage and Comparison among adults 18 Years and Older by Jurisdiction

 • Weekly estimates of influenza vaccination coverage and intent for vaccination among adults are calculated using data from the National Immunization Survey–Adult COVID Module (NIS–ACM) (https://www.cdc.gov/nis/about/).",,"{'name': 'Weekly Differences in Cumulative Influenza Vaccination Coverage and Comparison Between 2024-25 and 2023-24 Among Adults 18 Years, Overall, by Selected Demographics', 'id': '4g6p-3ed6', 'description': '• Weekly Influenza Vaccination Coverage and Comparison among adults 18 Years and Older by Jurisdiction\n\n • Weekly estimates of influenza vaccination coverage and intent for vaccination among adults are calculated using data from the National Immunization Survey–Adult COVID Module (NIS–ACM) (https://www.cdc.gov/nis/about/).', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Flu-Vaccinations/Weekly-Differences-in-Cumulative-Influenza-Vaccina/4g6p-3ed6'}"
"Weekly Differences in Cumulative Influenza Vaccination Coverage by Selected Demographics and by Season, 2024-25 and 2024-25 Compared with 2023-24, Children 6 Months -17 Years, United States",amjr-ph5r,amjr-ph5r_1736739389.384689_Weekly_Differences_in_Cumulative_Influenza_Vaccination_Coverage_by_Selected_Demographics_and_by_Season__2024-25_and_2024-25_Compared_with_2023-24__Children_6_Months_-17_Years__United_States_20250113.csv.gz,2025-01-13 03:36:29 UTC,https://data.cdc.gov/Child-Vaccinations/Weekly-Differences-in-Cumulative-Influenza-Vaccina/amjr-ph5r,"• Weekly Differences in Cumulative Influenza Vaccination Coverage by Selected Demographics and by Season, 2024-25 and 2024-25 Compared with 2023-24, Children 6 Months–17 Years, United States.

• Weekly Influenza vaccination coverage and parental intent for vaccination among children is calculated using data from the National Immunization Survey–Flu (NIS–Flu) (https://www.cdc.gov/nis/about/index.html). NIS–Flu is a national random-digit-dialed cellular telephone survey of households with children ages 6 months–17 years conducted during October-June. The respondent to a NIS–Flu survey is a parent or guardian who said they were knowledgeable about the child’s vaccination history. All estimates are based upon parental report of receipt of vaccination and month of that vaccination.",,"{'name': 'Weekly Differences in Cumulative Influenza Vaccination Coverage by Selected Demographics and by Season, 2024-25 and 2024-25 Compared with 2023-24, Children 6 Months -17 Years, United States', 'id': 'amjr-ph5r', 'description': '• Weekly Differences in Cumulative Influenza Vaccination Coverage by Selected Demographics and by Season, 2024-25 and 2024-25 Compared with 2023-24, Children 6 Months–17 Years, United States.\n\n• Weekly Influenza vaccination coverage and parental intent for vaccination among children is calculated using data from the National Immunization Survey–Flu (NIS–Flu) (https://www.cdc.gov/nis/about/index.html). NIS–Flu is a national random-digit-dialed cellular telephone survey of households with children ages 6 months–17 years conducted during October-June. The respondent to a NIS–Flu survey is a parent or guardian who said they were knowledgeable about the child’s vaccination history. All estimates are based upon parental report of receipt of vaccination and month of that vaccination.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Child-Vaccinations/Weekly-Differences-in-Cumulative-Influenza-Vaccina/amjr-ph5r'}"
"Weekly Differences in Cumulative Percentage of Children Ages 6 Months -17 Years who are up to date with the updated 2023-24 COVID-19 Vaccine, by Selected Demographics",qfiq-jir6,qfiq-jir6_1736737038.276416_Weekly_Differences_in_Cumulative_Percentage_of_Children_Ages_6_Months_-17_Years_who_are_up_to_date_with_the_updated_2023-24_COVID-19_Vaccine__by_Selected_Demographics_20250113.csv.gz,2025-01-13 02:57:18 UTC,https://data.cdc.gov/Child-Vaccinations/Weekly-Differences-in-Cumulative-Percentage-of-Chi/qfiq-jir6,"• Weekly COVID-19 vaccination coverage estimates among children 6 months to 17 years is assessed through the National Immunization Survey (https://www.cdc.gov/vaccines/imz-managers/nis/about.html). 

• Weekly estimates of COVID-19 vaccination coverage among children through December 31, 2023, were calculated using data from the National Immunization Survey-Child COVID Module (NIS-CCM) (https://www.cdc.gov/vaccines/imz-managers/nis/about.html#nis-ccm). Beginning January 2, 2024, the NIS-CCM was discontinued, and questions regarding receipt of COVID-19 vaccination among children were added to the NIS-Flu (https://www.cdc.gov/vaccines/imz-managers/nis/about.html#nis-cim). 

• Starting in September 2023, the CDC recommended the 2023-2024 updated COVID-19 vaccine to protect against serious illness from COVID-19.",,"{'name': 'Weekly Differences in Cumulative Percentage of Children Ages 6 Months -17 Years who are up to date with the updated 2023-24 COVID-19 Vaccine, by Selected Demographics', 'id': 'qfiq-jir6', 'description': '• Weekly COVID-19 vaccination coverage estimates among children 6 months to 17 years is assessed through the National Immunization Survey (https://www.cdc.gov/vaccines/imz-managers/nis/about.html). \n\n• Weekly estimates of COVID-19 vaccination coverage among children through December 31, 2023, were calculated using data from the National Immunization Survey-Child COVID Module (NIS-CCM) (https://www.cdc.gov/vaccines/imz-managers/nis/about.html#nis-ccm). Beginning January 2, 2024, the NIS-CCM was discontinued, and questions regarding receipt of COVID-19 vaccination among children were added to the NIS-Flu (https://www.cdc.gov/vaccines/imz-managers/nis/about.html#nis-cim). \n\n• Starting in September 2023, the CDC recommended the 2023-2024 updated COVID-19 vaccine to protect against serious illness from COVID-19.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Child-Vaccinations/Weekly-Differences-in-Cumulative-Percentage-of-Chi/qfiq-jir6'}"
"Weekly Differences in Cumulative RSV Vaccination Coverage Among Adults 75 and Older and 60–74 Years with High-Risk Conditions Ever Vaccinated with RSV Vaccine, Overall, by Selected Demographics",ndai-i7s4,ndai-i7s4_1736738978.961098_Weekly_Differences_in_Cumulative_RSV_Vaccination_Coverage_Among_Adults_75_and_Older_and_60_74_Years_with_High-Risk_Conditions_Ever_Vaccinated_with_RSV_Vaccine__Overall__by_Selected_Demographics_20250113.csv.gz,2025-01-13 03:29:38 UTC,https://data.cdc.gov/Vaccinations/Weekly-Differences-in-Cumulative-RSV-Vaccination-C/ndai-i7s4,"• Weekly Cumulative RSV Vaccination Coverage and Intent Among Adults 75 Years and Older and 60─74 Years with High Risk Conditions Ever Vaccinated with RSV Vaccine by Demographic Characteristics and Jurisdiction 
• Weekly estimates of RSV vaccination coverage and intent among adults 75 years and older and 60─74 years with high risk conditions are calculated using data from the National Immunization Survey–Adult COVID Module (NIS–ACM) (https://www.cdc.gov/nis/about/)
• In June 2023, the Advisory Committee on Immunization Practices (ACIP) voted to recommend that adults aged ≥60 years may receive a single dose of an RSV vaccine, using shared clinical decision-making. In June 2024, the ACIP voted to recommend a single dose of RSV vaccine for all adults 75 years and older and adults 60–74 years who are at increased risk for severe RSV disease. The data below captures ever receiving a dose of an RSV vaccine by adults 60 years and older. ",,"{'name': 'Weekly Differences in Cumulative RSV Vaccination Coverage Among Adults 75 and Older and 60–74 Years with High-Risk Conditions Ever Vaccinated with RSV Vaccine, Overall, by Selected Demographics', 'id': 'ndai-i7s4', 'description': '• Weekly Cumulative RSV Vaccination Coverage and Intent Among Adults 75 Years and Older and 60─74 Years with High Risk Conditions Ever Vaccinated with RSV Vaccine by Demographic Characteristics and Jurisdiction \n• Weekly estimates of RSV vaccination coverage and intent among adults 75 years and older and 60─74 years with high risk conditions are calculated using data from the National Immunization Survey–Adult COVID Module (NIS–ACM) (https://www.cdc.gov/nis/about/)\n• In June 2023, the Advisory Committee on Immunization Practices (ACIP) voted to recommend that adults aged ≥60 years may receive a single dose of an RSV vaccine, using shared clinical decision-making. In June 2024, the ACIP voted to recommend a single dose of RSV vaccine for all adults 75 years and older and adults 60–74 years who are at increased risk for severe RSV disease. The data below captures ever receiving a dose of an RSV vaccine by adults 60 years and older.\u202f', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/Weekly-Differences-in-Cumulative-RSV-Vaccination-C/ndai-i7s4'}"
"Weekly Hospital Respiratory Data (HRD) Metrics by Jurisdiction, National Healthcare Safety Network (NHSN)",ua7e-t2fy,ua7e-t2fy_1736738112.744168_Weekly_Hospital_Respiratory_Data__HRD__Metrics_by_Jurisdiction__National_Healthcare_Safety_Network__NHSN__20250113.csv.gz,2025-01-13 03:15:12 UTC,https://data.cdc.gov/Public-Health-Surveillance/Weekly-Hospital-Respiratory-Data-HRD-Metrics-by-Ju/ua7e-t2fy,"This dataset represents weekly hospital respiratory data and metrics aggregated to national and state/territory levels reported to CDC’s National Health Safety Network (NHSN) beginning August 2020. Data for reporting dates through April 30, 2024 represent data reported during a previous mandated reporting period as specified by the HHS Secretary. Data for reporting dates May 1, 2024 – October 31, 2024 represent voluntarily reported data in the absence of a mandate. Data for reporting dates beginning November 1, 2024 represent data reported during a current mandated reporting period. All data and metrics capturing information on respiratory syncytial virus (RSV) were voluntarily reported until November 1, 2024. All data included in this dataset represent aggregated counts, and include metrics capturing information specific to hospital capacity, occupancy, hospitalizations, and new hospital admissions with corresponding metrics indicating reporting coverage for a given reporting week. NHSN monitors national and local trends in healthcare system stress and capacity for all acute care and critical access hospitals in the United States.

For more information on the reporting mandate per the Centers for Medicare and Medicaid Services (CMS) requirements, visit: <a href=""https://www.cms.gov/medicare/health-safety-standards/quality-safety-oversight-general-information/policy-memos-states/updates-condition-participation-cop-requirements-hospitals-and-critical-access-hospitals-cahs-report"">Updates to the Condition of Participation (CoP) Requirements for Hospitals and Critical Access Hospitals (CAHs) To Report Acute Respiratory Illnesses</a>.

For more information regarding NHSN’s collection of these data, including full reporting guidance, visit: <a href=""https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html"">NHSN Hospital Respiratory Data.</a>

<b>Source: CDC National Healthcare Safety Network (NHSN).</b>
<ul><li><b>Data source description</b> (updated November 15, 2024): As of October 9, 2024, Hospital Respiratory Data (HRD; formerly Respiratory Pathogen, Hospital Capacity, and Supply data or 'COVID-19 hospital data') are reported to HHS through CDC's National Healthcare Safety Network (NHSN) based on updated requirements from the Centers for Medicare and Medicaid Services (CMS). These data were voluntarily reported to NHSN May 1, 2024 until November 1, 2024, at which time CMS began requiring acute care and critical access hospitals to electronically report information via NHSN about COVID-19, influenza, and RSV, hospital bed census and capacity. Hospital bed capacity and occupancy data for all patients and for patients with COVID-19 or influenza for collection dates prior to May 1, 2024, represent data reported during a previously mandated reporting period as specified by the HHS Secretary, and data for collection dates May 1, 2024 – October 31, 2024 represent data reported voluntarily to NHSN. All RSV data through October 31, 2024 represent voluntarily reported data; as such, all voluntarily reported data included in this dataset represent reporting hospitals only for a given week and might not be complete or representative of all hospitals during the specified reporting periods.</li><li>NHSN monitors national and local trends in healthcare system stress and capacity for all acute care and critical access hospitals in the United States. Data reported by hospitals to NHSN represent aggregated counts and include metrics capturing information specific to hospital capacity, occupancy, hospitalizations, and admissions. Find more information about reporting to NHSN: https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html.</li><li><b>Data quality:</b> While CDC reviews reported data for completeness and errors and corrects those found, some reporting errors might still exist within the data. CDC and partners work with reporters to correct these errors and update the data in subsequent weeks. Data reported as of December",,"{'name': 'Weekly Hospital Respiratory Data (HRD) Metrics by Jurisdiction, National Healthcare Safety Network (NHSN)', 'id': 'ua7e-t2fy', 'description': 'This dataset represents weekly hospital respiratory data and metrics aggregated to national and state/territory levels reported to CDC’s National Health Safety Network (NHSN) beginning August 2020. Data for reporting dates through April 30, 2024 represent data reported during a previous mandated reporting period as specified by the HHS Secretary. Data for reporting dates May 1, 2024 – October 31, 2024 represent voluntarily reported data in the absence of a mandate. Data for reporting dates beginning November 1, 2024 represent data reported during a current mandated reporting period. All data and metrics capturing information on respiratory syncytial virus (RSV) were voluntarily reported until November 1, 2024. All data included in this dataset represent aggregated counts, and include metrics capturing information specific to hospital capacity, occupancy, hospitalizations, and new hospital admissions with corresponding metrics indicating reporting coverage for a given reporting week. NHSN monitors national and local trends in healthcare system stress and capacity for all acute care and critical access hospitals in the United States.\n\nFor more information on the reporting mandate per the Centers for Medicare and Medicaid Services (CMS) requirements, visit: <a href=""https://www.cms.gov/medicare/health-safety-standards/quality-safety-oversight-general-information/policy-memos-states/updates-condition-participation-cop-requirements-hospitals-and-critical-access-hospitals-cahs-report"">Updates to the Condition of Participation (CoP) Requirements for Hospitals and Critical Access Hospitals (CAHs) To Report Acute Respiratory Illnesses</a>.\n\nFor more information regarding NHSN’s collection of these data, including full reporting guidance, visit: <a href=""https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html"">NHSN Hospital Respiratory Data.</a>\n\n<b>Source: CDC National Healthcare Safety Network (NHSN).</b>\n<ul><li><b>Data source description</b> (updated November 15, 2024): As of October 9, 2024, Hospital Respiratory Data (HRD; formerly Respiratory Pathogen, Hospital Capacity, and Supply data or \'COVID-19 hospital data\') are reported to HHS through CDC\'s National Healthcare Safety Network (NHSN) based on updated requirements from the Centers for Medicare and Medicaid Services (CMS). These data were voluntarily reported to NHSN May 1, 2024 until November 1, 2024, at which time CMS began requiring acute care and critical access hospitals to electronically report information via NHSN about COVID-19, influenza, and RSV, hospital bed census and capacity. Hospital bed capacity and occupancy data for all patients and for patients with COVID-19 or influenza for collection dates prior to May 1, 2024, represent data reported during a previously mandated reporting period as specified by the HHS Secretary, and data for collection dates May 1, 2024 – October 31, 2024 represent data reported voluntarily to NHSN. All RSV data through October 31, 2024 represent voluntarily reported data; as such, all voluntarily reported data included in this dataset represent reporting hospitals only for a given week and might not be complete or representative of all hospitals during the specified reporting periods.</li><li>NHSN monitors national and local trends in healthcare system stress and capacity for all acute care and critical access hospitals in the United States. Data reported by hospitals to NHSN represent aggregated counts and include metrics capturing information specific to hospital capacity, occupancy, hospitalizations, and admissions. Find more information about reporting to NHSN: https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html.</li><li><b>Data quality:</b> While CDC reviews reported data for completeness and errors and corrects those found, some reporting errors might still exist within the data. CDC and partners work with reporters to correct these errors and update the data in subsequent weeks. Data reported as of December', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/Weekly-Hospital-Respiratory-Data-HRD-Metrics-by-Ju/ua7e-t2fy'}"
"Weekly Hospital Respiratory Data (HRD) Metrics by Jurisdiction, National Healthcare Safety Network (NHSN) (Historical)",rhwp-grxi,rhwp-grxi_1736739607.310252_Weekly_Hospital_Respiratory_Data__HRD__Metrics_by_Jurisdiction__National_Healthcare_Safety_Network__NHSN___Historical__20250113.csv.gz,2025-01-13 03:40:07 UTC,https://data.cdc.gov/Public-Health-Surveillance/Weekly-Hospital-Respiratory-Data-HRD-Metrics-by-Ju/rhwp-grxi,"This dataset represents weekly hospital respiratory data and metrics aggregated to national and state/territory levels reported to CDC’s National Health Safety Network (NHSN) beginning November 2024. Data and metrics included in this dataset are NOT updated or adjusted week-over-week after initial publication, and therefore represent data received at the time of publication for a given reporting week. All data included in this dataset represent aggregated counts, and include metrics capturing information specific to hospital capacity, occupancy, hospitalizations, and new hospital admissions with corresponding metrics indicating reporting coverage for a given reporting week. NHSN monitors national and local trends in healthcare system stress and capacity for all acute care and critical access hospitals in the United States. 
 
For more information on the reporting mandate per the Centers for Medicare and Medicaid Services (CMS) requirements, visit: , visit: <a href=""https://www.cms.gov/medicare/health-safety-standards/quality-safety-oversight-general-information/policy-memos-states/updates-condition-participation-cop-requirements-hospitals-and-critical-access-hospitals-cahs-report"">. 
 
For more information regarding NHSN’s collection of these data, including full reporting guidance, visit: <a href=""https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html"">NHSN Hospital Respiratory Data.</a>

<b>Source: CDC National Healthcare Safety Network (NHSN).</b>
<ul><li><b>Data source description</b>  (updated November 15, 2024): As of October 9, 2024, Hospital Respiratory Data (HRD; formerly Respiratory Pathogen, Hospital Capacity, and Supply data or 'COVID-19 hospital data') are reported to HHS through CDC's National Healthcare Safety Network (NHSN) based on updated requirements from the Centers for Medicare and Medicaid Services (CMS). These data were voluntarily reported to NHSN May 1, 2024 until November 1, 2024, at which time CMS began requiring acute care and critical access hospitals to electronically report information via NHSN about COVID-19, influenza, and RSV, hospital bed census and capacity. Hospital bed capacity and occupancy data for all patients and for patients with COVID-19 or influenza for collection dates prior to May 1, 2024, represent data reported during a previously mandated reporting period as specified by the HHS Secretary, and data for collection dates May 1, 2024 – October 31, 2024 represent data reported voluntarily to NHSN. All RSV data through October 31, 2024 represent voluntarily reported data; as such, all voluntarily reported data included in this dataset represent reporting hospitals only for a given week and might not be complete or representative of all hospitals during the specified reporting periods.</li><li>NHSN monitors national and local trends in healthcare system stress and capacity for all acute care and critical access hospitals in the United States. Data reported by hospitals to NHSN represent aggregated counts and include metrics capturing information specific to hospital capacity, occupancy, hospitalizations, and admissions. Find more information about reporting to NHSN: https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html. </li><li><b>Data quality:</b> While CDC reviews reported data for completeness and errors and corrects those found, some reporting errors might still exist within the data. CDC and partners work with reporters to correct these errors and update the data in subsequent weeks. Data reported as of December 1, 2020 are subject to thorough, routine data quality review procedures, including identifying and excluding invalid values from metric calculations and application of error correction methodology; data prior to this date may have anomalies that are not yet resolved. Data prior to August 1, 2020, are unavailable. Data and metrics included in this dataset are NOT updated or adjusted week-over-week after initial publication, and therefore represent da",,"{'name': 'Weekly Hospital Respiratory Data (HRD) Metrics by Jurisdiction, National Healthcare Safety Network (NHSN) (Historical)', 'id': 'rhwp-grxi', 'description': 'This dataset represents weekly hospital respiratory data and metrics aggregated to national and state/territory levels reported to CDC’s National Health Safety Network (NHSN) beginning November 2024. Data and metrics included in this dataset are NOT updated or adjusted week-over-week after initial publication, and therefore represent data received at the time of publication for a given reporting week. All data included in this dataset represent aggregated counts, and include metrics capturing information specific to hospital capacity, occupancy, hospitalizations, and new hospital admissions with corresponding metrics indicating reporting coverage for a given reporting week. NHSN monitors national and local trends in healthcare system stress and capacity for all acute care and critical access hospitals in the United States. \n \nFor more information on the reporting mandate per the Centers for Medicare and Medicaid Services (CMS) requirements, visit: , visit: <a href=""https://www.cms.gov/medicare/health-safety-standards/quality-safety-oversight-general-information/policy-memos-states/updates-condition-participation-cop-requirements-hospitals-and-critical-access-hospitals-cahs-report"">. \n \nFor more information regarding NHSN’s collection of these data, including full reporting guidance, visit: <a href=""https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html"">NHSN Hospital Respiratory Data.</a>\n\n<b>Source: CDC National Healthcare Safety Network (NHSN).</b>\n<ul><li><b>Data source description</b> \u202f(updated November 15, 2024): As of October 9, 2024, Hospital Respiratory Data (HRD; formerly Respiratory Pathogen, Hospital Capacity, and Supply data or \'COVID-19 hospital data\') are reported to HHS through CDC\'s National Healthcare Safety Network (NHSN) based on updated requirements from the Centers for Medicare and Medicaid Services (CMS). These data were voluntarily reported to NHSN May 1, 2024 until November 1, 2024, at which time CMS began requiring acute care and critical access hospitals to electronically report information via NHSN about COVID-19, influenza, and RSV, hospital bed census and capacity. Hospital bed capacity and occupancy data for all patients and for patients with COVID-19 or influenza for collection dates prior to May 1, 2024, represent data reported during a previously mandated reporting period as specified by the HHS Secretary, and data for collection dates May 1, 2024 – October 31, 2024 represent data reported voluntarily to NHSN. All RSV data through October 31, 2024 represent voluntarily reported data; as such, all voluntarily reported data included in this dataset represent reporting hospitals only for a given week and might not be complete or representative of all hospitals during the specified reporting periods.</li><li>NHSN monitors national and local trends in healthcare system stress and capacity for all acute care and critical access hospitals in the United States. Data reported by hospitals to NHSN represent aggregated counts and include metrics capturing information specific to hospital capacity, occupancy, hospitalizations, and admissions. Find more information about reporting to NHSN:\u202fhttps://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html. </li><li><b>Data quality:</b> While CDC reviews reported data for completeness and errors and corrects those found, some reporting errors might still exist within the data. CDC and partners work with reporters to correct these errors and update the data in subsequent weeks. Data reported as of December 1, 2020 are subject to thorough, routine data quality review procedures, including identifying and excluding invalid values from metric calculations and application of error correction methodology; data prior to this date may have anomalies that are not yet resolved. Data prior to August 1, 2020, are unavailable.\u202fData and metrics included in this dataset are NOT updated or adjusted week-over-week after initial publication, and therefore represent da', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/Weekly-Hospital-Respiratory-Data-HRD-Metrics-by-Ju/rhwp-grxi'}"
"Weekly Influenza Vaccination Coverage Among Pregnant Women 18-49 Years, by Race and Ethnicity",8fbp-accd,8fbp-accd_1736739091.996005_Weekly_Influenza_Vaccination_Coverage_Among_Pregnant_Women_18-49_Years__by_Race_and_Ethnicity_20250113.csv.gz,2025-01-13 03:31:31 UTC,https://data.cdc.gov/Pregnancy-Vaccination/Weekly-Influenza-Vaccination-Coverage-Among-Pregna/8fbp-accd,"Weekly Influenza Vaccination Coverage, Pregnant Women 18-49 Years Old by Race and Ethnicity
  
Weekly influenza vaccination coverage estimates for pregnant women 18–49 years are based on electronic health record (EHR) data from the Vaccine Safety Datalink (VSD) (https://www.cdc.gov/vaccine-safety-systems/vsd/), a collaboration between CDC’s Immunization Safety Office and multiple integrated health care organizations.",,"{'name': 'Weekly Influenza Vaccination Coverage Among Pregnant Women 18-49 Years, by Race and Ethnicity', 'id': '8fbp-accd', 'description': 'Weekly Influenza Vaccination Coverage, Pregnant Women 18-49 Years Old by Race and Ethnicity\n  \nWeekly influenza vaccination coverage estimates for pregnant women 18–49 years are based on electronic health record (EHR) data from the Vaccine Safety Datalink (VSD) (https://www.cdc.gov/vaccine-safety-systems/vsd/), a collaboration between CDC’s Immunization Safety Office and multiple integrated health care organizations.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Pregnancy-Vaccination/Weekly-Influenza-Vaccination-Coverage-Among-Pregna/8fbp-accd'}"
"Weekly Influenza Vaccination Coverage and Intent for Vaccination, Overall, by Selected Demographics and Jurisdiction, Among Adults 18 Years and Older",sw5n-wg2p,sw5n-wg2p_1736737122.768283_Weekly_Influenza_Vaccination_Coverage_and_Intent_for_Vaccination__Overall__by_Selected_Demographics_and_Jurisdiction__Among_Adults_18_Years_and_Older_20250113.csv.gz,2025-01-13 02:58:42 UTC,https://data.cdc.gov/Flu-Vaccinations/Weekly-Influenza-Vaccination-Coverage-and-Intent-f/sw5n-wg2p,"• Weekly Influenza Vaccination Coverage and intent among adults 18 Years and Older by Demographic Characteristics and Jurisdiction 

 • Weekly estimates of influenza vaccination coverage and intent for vaccination among adults 18 years and older are calculated using data from the National Immunization Survey–Adult COVID Module (NIS–ACM) (https://www.cdc.gov/nis/about/index.html).",,"{'name': 'Weekly Influenza Vaccination Coverage and Intent for Vaccination, Overall, by Selected Demographics and Jurisdiction, Among Adults 18 Years and Older', 'id': 'sw5n-wg2p', 'description': '• Weekly Influenza Vaccination Coverage and intent among adults 18 Years and Older by Demographic Characteristics and Jurisdiction \n\n • Weekly estimates of influenza vaccination coverage and intent for vaccination among adults 18 years and older are calculated using data from the National Immunization Survey–Adult COVID Module (NIS–ACM) (https://www.cdc.gov/nis/about/index.html).', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Flu-Vaccinations/Weekly-Influenza-Vaccination-Coverage-and-Intent-f/sw5n-wg2p'}"
"Weekly Influenza Vaccination Status and Intent for Vaccination, Overall, by Selected Demographics, and Jurisdiction, Children 6 Months - 17 Years, 2023-24, United States",nsxk-tvbw,nsxk-tvbw_1736727847.395223_Weekly_Influenza_Vaccination_Status_and_Intent_for_Vaccination__Overall__by_Selected_Demographics__and_Jurisdiction__Children_6_Months_-_17_Years__2023-24__United_States_20250113.csv.gz,2025-01-13 00:24:07 UTC,https://data.cdc.gov/Child-Vaccinations/Weekly-Influenza-Vaccination-Status-and-Intent-for/nsxk-tvbw,"• Influenza vaccination coverage and parental intent among children 6 months to 17 years is assessed through the National Immunization Survey-Child COVID Module providing weekly COVID-19 vaccination coverage estimates. (https://www.cdc.gov/vaccines/imz-managers/nis/about.html)

• For the 2023-2024 flu season, the CDC recommends a flu shot for most people 6 months and older.",,"{'name': 'Weekly Influenza Vaccination Status and Intent for Vaccination, Overall, by Selected Demographics, and Jurisdiction, Children 6 Months - 17 Years, 2023-24, United States', 'id': 'nsxk-tvbw', 'description': '• Influenza vaccination coverage and parental intent among children 6 months to 17 years is assessed through the National Immunization Survey-Child COVID Module providing weekly COVID-19 vaccination coverage estimates. (https://www.cdc.gov/vaccines/imz-managers/nis/about.html)\n\n• For the 2023-2024 flu season, the CDC recommends a flu shot for most people 6 months and older.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Child-Vaccinations/Weekly-Influenza-Vaccination-Status-and-Intent-for/nsxk-tvbw'}"
"Weekly Influenza Vaccination Status and Intent for Vaccination, Overall, by Selected Demographics, and Jurisdiction, Children 6 Months-17 Years, United States",judz-8etw,judz-8etw_1736739285.168982_Weekly_Influenza_Vaccination_Status_and_Intent_for_Vaccination__Overall__by_Selected_Demographics__and_Jurisdiction__Children_6_Months-17_Years__United_States_20250113.csv.gz,2025-01-13 03:34:45 UTC,https://data.cdc.gov/Child-Vaccinations/Weekly-Influenza-Vaccination-Status-and-Intent-for/judz-8etw,"• Weekly Influenza Vaccination Status and Intent for Vaccination, Overall, by Selected Demographics, and Jurisdiction, Children 6 Months-17 Years. 

• Weekly Influenza vaccination coverage and parental intent for vaccination among children is calculated using data from the National Immunization Survey–Flu (NIS–Flu) (https://www.cdc.gov/nis/about/index.html). NIS–Flu is a national random-digit-dialed cellular telephone survey of households with children ages 6 months–17 years conducted during October-June. The respondent to a NIS–Flu survey is a parent or guardian who said they were knowledgeable about the child’s vaccination history. All estimates are based upon parental report of receipt of vaccination and month of that vaccination.",,"{'name': 'Weekly Influenza Vaccination Status and Intent for Vaccination, Overall, by Selected Demographics, and Jurisdiction, Children 6 Months-17 Years, United States', 'id': 'judz-8etw', 'description': '• Weekly Influenza Vaccination Status and Intent for Vaccination, Overall, by Selected Demographics, and Jurisdiction, Children 6 Months-17 Years. \n\n• Weekly Influenza vaccination coverage and parental intent for vaccination among children is calculated using data from the National Immunization Survey–Flu (NIS–Flu) (https://www.cdc.gov/nis/about/index.html). NIS–Flu is a national random-digit-dialed cellular telephone survey of households with children ages 6 months–17 years conducted during October-June. The respondent to a NIS–Flu survey is a parent or guardian who said they were knowledgeable about the child’s vaccination history. All estimates are based upon parental report of receipt of vaccination and month of that vaccination.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Child-Vaccinations/Weekly-Influenza-Vaccination-Status-and-Intent-for/judz-8etw'}"
"Weekly Parental Intent for Vaccination and Cumulative Percentage of Children 6 Months -17 Years Who are Up to date with the COVID-19 Vaccines by Season, United States",ker6-gs6z,ker6-gs6z_1736738858.739047_Weekly_Parental_Intent_for_Vaccination_and_Cumulative_Percentage_of_Children_6_Months_-17_Years_Who_are_Up_to_date_with_the_COVID-19_Vaccines_by_Season__United_States_20250113.csv.gz,2025-01-13 03:27:38 UTC,https://data.cdc.gov/Child-Vaccinations/Weekly-Parental-Intent-for-Vaccination-and-Cumulat/ker6-gs6z,"• Weekly Parental Intent for Vaccination and Cumulative Percentage of Children 6 Months-17 Years Who are Up to date with the COVID-19 Vaccines by Season. 

• Weekly estimates of COVID-19 vaccination coverage and parental intent for vaccination among children through December 31, 2023, were calculated using data from the National Immunization Survey–Child COVID Module (NIS–CCM). The NIS–CCM was discontinued at the end of 2023 and questions regarding COVID-19 vaccination status and intent were added to the National Immunization Survey–Flu (NIS–Flu) (https://www.cdc.gov/nis/about/index.html).",,"{'name': 'Weekly Parental Intent for Vaccination and Cumulative Percentage of Children 6 Months -17 Years Who are Up to date with the COVID-19 Vaccines by Season, United States', 'id': 'ker6-gs6z', 'description': '• Weekly Parental Intent for Vaccination and Cumulative Percentage of Children 6 Months-17 Years Who are Up to date with the COVID-19 Vaccines by Season. \n\n• Weekly estimates of COVID-19 vaccination coverage and parental intent for vaccination among children through December 31, 2023, were calculated using data from the National Immunization Survey–Child COVID Module (NIS–CCM). The NIS–CCM was discontinued at the end of 2023 and questions regarding COVID-19 vaccination status and intent were added to the National Immunization Survey–Flu (NIS–Flu) (https://www.cdc.gov/nis/about/index.html).', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Child-Vaccinations/Weekly-Parental-Intent-for-Vaccination-and-Cumulat/ker6-gs6z'}"
Weekly Parental Intent for Vaccination and Cumulative Percentage of Children 6 Months-17 Years who are up to date with the updated 2023-24 COVID-19 Vaccine,ithv-4e9m,ithv-4e9m_1736726864.878161_Weekly_Parental_Intent_for_Vaccination_and_Cumulative_Percentage_of_Children_6_Months-17_Years_who_are_up_to_date_with_the_updated_2023-24_COVID-19_Vaccine_20250113.csv.gz,2025-01-13 00:07:44 UTC,https://data.cdc.gov/Child-Vaccinations/Weekly-Parental-Intent-for-Vaccination-and-Cumulat/ithv-4e9m,"• COVID-19 vaccination coverage and parental intent among children 6 months to 17 years is assessed through the National Immunization Survey providing weekly COVID-19 vaccination coverage estimates (https://www.cdc.gov/vaccines/imz-managers/nis/about.html). 

• Weekly estimates of COVID-19 vaccination coverage and parental intent for vaccination among children through December 31, 2023, were calculated using data from the National Immunization Survey-Child COVID Module (NIS-CCM). Beginning January 2, 2024, the NIS-CCM was discontinued, and questions regarding receipt of COVID-19 vaccination among children were added to the NIS-Flu (https://www.cdc.gov/vaccines/imz-managers/nis/about.html#nis-cim). 

• Starting in September 2023, the CDC recommended the 2023-2024 updated COVID-19 vaccine to protect against serious illness from COVID-19.",,"{'name': 'Weekly Parental Intent for Vaccination and Cumulative Percentage of Children 6 Months-17 Years who are up to date with the updated 2023-24 COVID-19 Vaccine', 'id': 'ithv-4e9m', 'description': '• COVID-19 vaccination coverage and parental intent among children 6 months to 17 years is assessed through the National Immunization Survey providing weekly COVID-19 vaccination coverage estimates (https://www.cdc.gov/vaccines/imz-managers/nis/about.html). \n\n• Weekly estimates of COVID-19 vaccination coverage and parental intent for vaccination among children through December 31, 2023, were calculated using data from the National Immunization Survey-Child COVID Module (NIS-CCM). Beginning January 2, 2024, the NIS-CCM was discontinued, and questions regarding receipt of COVID-19 vaccination among children were added to the NIS-Flu (https://www.cdc.gov/vaccines/imz-managers/nis/about.html#nis-cim). \n\n• Starting in September 2023, the CDC recommended the 2023-2024 updated COVID-19 vaccine to protect against serious illness from COVID-19.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Child-Vaccinations/Weekly-Parental-Intent-for-Vaccination-and-Cumulat/ithv-4e9m'}"
"Weekly Provisional Counts of Deaths by State and Select Causes, 2020-2023",muzy-jte6,muzy-jte6_1736707106.122786_Weekly_Provisional_Counts_of_Deaths_by_State_and_Select_Causes__2020-2023_20250112.csv.gz,2025-01-12 18:38:26 UTC,https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6,"Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.

Provisional counts of deaths by the week the deaths occurred, by state of occurrence, and by select underlying causes of death for 2020-2023.  The dataset also includes weekly provisional counts of death for COVID-19, coded to ICD-10 code U07.1 as an underlying or multiple cause of death.

NOTE: death counts are presented with a one week lag.","<https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""original"",
<http://web.archive.org/web/timemap/link/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""self""; type=""application/link-format""; from=""Thu, 27 May 2021 15:47:20 GMT"",
<http://web.archive.org/web/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""timegate"",
<http://web.archive.org/web/20210527154720/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""first memento""; datetime=""Thu, 27 May 2021 15:47:20 GMT"",
<http://web.archive.org/web/20210531193243/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Mon, 31 May 2021 19:32:43 GMT"",
<http://web.archive.org/web/20210531233741/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Mon, 31 May 2021 23:37:41 GMT"",
<http://web.archive.org/web/20210614004825/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Mon, 14 Jun 2021 00:48:25 GMT"",
<http://web.archive.org/web/20210617053105/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Thu, 17 Jun 2021 05:31:05 GMT"",
<http://web.archive.org/web/20210619003033/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Sat, 19 Jun 2021 00:30:33 GMT"",
<http://web.archive.org/web/20210621161440/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Mon, 21 Jun 2021 16:14:40 GMT"",
<http://web.archive.org/web/20210621190909/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Mon, 21 Jun 2021 19:09:09 GMT"",
<http://web.archive.org/web/20210621190909/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Mon, 21 Jun 2021 19:09:09 GMT"",
<http://web.archive.org/web/20210629105821/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Tue, 29 Jun 2021 10:58:21 GMT"",
<http://web.archive.org/web/20210630141338/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Wed, 30 Jun 2021 14:13:38 GMT"",
<http://web.archive.org/web/20210706123234/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Tue, 06 Jul 2021 12:32:34 GMT"",
<http://web.archive.org/web/20210707211303/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Wed, 07 Jul 2021 21:13:03 GMT"",
<http://web.archive.org/web/20210713090652/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Tue, 13 Jul 2021 09:06:52 GMT"",
<http://web.archive.org/web/20210717180518/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Sat, 17 Jul 2021 18:05:18 GMT"",
<http://web.archive.org/web/20210720100604/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Tue, 20 Jul 2021 10:06:04 GMT"",
<http://web.archive.org/web/20210720100607/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Tue, 20 Jul 2021 10:06:07 GMT"",
<http://web.archive.org/web/20210726134417/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Mon, 26 Jul 2021 13:44:17 GMT"",
<http://web.archive.org/web/20210809041908/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Mon, 09 Aug 2021 04:19:08 GMT"",
<http://web.archive.org/web/20210815151955/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Sun, 15 Aug 2021 15:19:55 GMT"",
<http://web.archive.org/web/20210901225458/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Wed, 01 Sep 2021 22:54:58 GMT"",
<http://web.archive.org/web/20210905011227/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Sun, 05 Sep 2021 01:12:27 GMT"",
<http://web.archive.org/web/20210907071154/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Tue, 07 Sep 2021 07:11:54 GMT"",
<http://web.archive.org/web/20210909221350/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Thu, 09 Sep 2021 22:13:50 GMT"",
<http://web.archive.org/web/20210910190138/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Fri, 10 Sep 2021 19:01:38 GMT"",
<http://web.archive.org/web/20210922144436/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Wed, 22 Sep 2021 14:44:36 GMT"",
<http://web.archive.org/web/20210923025946/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Thu, 23 Sep 2021 02:59:46 GMT"",
<http://web.archive.org/web/20210927124653/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Mon, 27 Sep 2021 12:46:53 GMT"",
<http://web.archive.org/web/20210927235156/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Mon, 27 Sep 2021 23:51:56 GMT"",
<http://web.archive.org/web/20211006211441/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Wed, 06 Oct 2021 21:14:41 GMT"",
<http://web.archive.org/web/20211013033916/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Wed, 13 Oct 2021 03:39:16 GMT"",
<http://web.archive.org/web/20211025012451/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Mon, 25 Oct 2021 01:24:51 GMT"",
<http://web.archive.org/web/20211122234431/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Mon, 22 Nov 2021 23:44:31 GMT"",
<http://web.archive.org/web/20211130155745/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Tue, 30 Nov 2021 15:57:45 GMT"",
<http://web.archive.org/web/20211130155939/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6/>; rel=""memento""; datetime=""Tue, 30 Nov 2021 15:59:39 GMT"",
<http://web.archive.org/web/20211208232707/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Wed, 08 Dec 2021 23:27:07 GMT"",
<http://web.archive.org/web/20211218030436/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Sat, 18 Dec 2021 03:04:36 GMT"",
<http://web.archive.org/web/20211218065422/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Sat, 18 Dec 2021 06:54:22 GMT"",
<http://web.archive.org/web/20211227195520/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Mon, 27 Dec 2021 19:55:20 GMT"",
<http://web.archive.org/web/20220103112432/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Mon, 03 Jan 2022 11:24:32 GMT"",
<http://web.archive.org/web/20220109182458/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Sun, 09 Jan 2022 18:24:58 GMT"",
<http://web.archive.org/web/20220114223621/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Fri, 14 Jan 2022 22:36:21 GMT"",
<http://web.archive.org/web/20220115055118/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Sat, 15 Jan 2022 05:51:18 GMT"",
<http://web.archive.org/web/20220125004851/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Tue, 25 Jan 2022 00:48:51 GMT"",
<http://web.archive.org/web/20220125005507/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Tue, 25 Jan 2022 00:55:07 GMT"",
<http://web.archive.org/web/20220125203858/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Tue, 25 Jan 2022 20:38:58 GMT"",
<http://web.archive.org/web/20220125204245/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Tue, 25 Jan 2022 20:42:45 GMT"",
<http://web.archive.org/web/20220126053607/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Wed, 26 Jan 2022 05:36:07 GMT"",
<http://web.archive.org/web/20220126090217/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Wed, 26 Jan 2022 09:02:17 GMT"",
<http://web.archive.org/web/20220126094522/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Wed, 26 Jan 2022 09:45:22 GMT"",
<http://web.archive.org/web/20220126123124/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Wed, 26 Jan 2022 12:31:24 GMT"",
<http://web.archive.org/web/20220131140833/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Mon, 31 Jan 2022 14:08:33 GMT"",
<http://web.archive.org/web/20220206162927/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Sun, 06 Feb 2022 16:29:27 GMT"",
<http://web.archive.org/web/20220212040726/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Sat, 12 Feb 2022 04:07:26 GMT"",
<http://web.archive.org/web/20220213160906/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Sun, 13 Feb 2022 16:09:06 GMT"",
<http://web.archive.org/web/20220305221830/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Sat, 05 Mar 2022 22:18:30 GMT"",
<http://web.archive.org/web/20220323210834/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Wed, 23 Mar 2022 21:08:34 GMT"",
<http://web.archive.org/web/20220403034150/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Sun, 03 Apr 2022 03:41:50 GMT"",
<http://web.archive.org/web/20220416071830/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Sat, 16 Apr 2022 07:18:30 GMT"",
<http://web.archive.org/web/20220426030850/http://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Tue, 26 Apr 2022 03:08:50 GMT"",
<http://web.archive.org/web/20220427055002/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Wed, 27 Apr 2022 05:50:02 GMT"",
<http://web.archive.org/web/20220516205000/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Mon, 16 May 2022 20:50:00 GMT"",
<http://web.archive.org/web/20220517014415/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Tue, 17 May 2022 01:44:15 GMT"",
<http://web.archive.org/web/20220524220032/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Tue, 24 May 2022 22:00:32 GMT"",
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<http://web.archive.org/web/20230825202344/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Fri, 25 Aug 2023 20:23:44 GMT"",
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<http://web.archive.org/web/20240704184647/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Thu, 04 Jul 2024 18:46:47 GMT"",
<http://web.archive.org/web/20240709045737/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Tue, 09 Jul 2024 04:57:37 GMT"",
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<http://web.archive.org/web/20240710042911/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Wed, 10 Jul 2024 04:29:11 GMT"",
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<http://web.archive.org/web/20240711060123/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Thu, 11 Jul 2024 06:01:23 GMT"",
<http://web.archive.org/web/20240715200043/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Mon, 15 Jul 2024 20:00:43 GMT"",
<http://web.archive.org/web/20240718045416/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Thu, 18 Jul 2024 04:54:16 GMT"",
<http://web.archive.org/web/20240718051501/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Thu, 18 Jul 2024 05:15:01 GMT"",
<http://web.archive.org/web/20240718082612/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Thu, 18 Jul 2024 08:26:12 GMT"",
<http://web.archive.org/web/20240721221857/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Sun, 21 Jul 2024 22:18:57 GMT"",
<http://web.archive.org/web/20240723134638/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Tue, 23 Jul 2024 13:46:38 GMT"",
<http://web.archive.org/web/20240724090918/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Wed, 24 Jul 2024 09:09:18 GMT"",
<http://web.archive.org/web/20240926183309/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Thu, 26 Sep 2024 18:33:09 GMT"",
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<http://web.archive.org/web/20241009223655/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Wed, 09 Oct 2024 22:36:55 GMT"",
<http://web.archive.org/web/20241031083255/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Thu, 31 Oct 2024 08:32:55 GMT"",
<http://web.archive.org/web/20241031215811/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Thu, 31 Oct 2024 21:58:11 GMT"",
<http://web.archive.org/web/20241101014353/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Fri, 01 Nov 2024 01:43:53 GMT"",
<http://web.archive.org/web/20241102083226/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Sat, 02 Nov 2024 08:32:26 GMT"",
<http://web.archive.org/web/20241104052546/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Mon, 04 Nov 2024 05:25:46 GMT"",
<http://web.archive.org/web/20241104132651/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Mon, 04 Nov 2024 13:26:51 GMT"",
<http://web.archive.org/web/20241105010918/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Tue, 05 Nov 2024 01:09:18 GMT"",
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<http://web.archive.org/web/20241106200452/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Wed, 06 Nov 2024 20:04:52 GMT"",
<http://web.archive.org/web/20241108035217/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Fri, 08 Nov 2024 03:52:17 GMT"",
<http://web.archive.org/web/20241114172901/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Thu, 14 Nov 2024 17:29:01 GMT"",
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<http://web.archive.org/web/20241125052750/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Mon, 25 Nov 2024 05:27:50 GMT"",
<http://web.archive.org/web/20241125061344/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Mon, 25 Nov 2024 06:13:44 GMT"",
<http://web.archive.org/web/20241128082322/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Thu, 28 Nov 2024 08:23:22 GMT"",
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<http://web.archive.org/web/20241203124356/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Tue, 03 Dec 2024 12:43:56 GMT"",
<http://web.archive.org/web/20241204193618/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Wed, 04 Dec 2024 19:36:18 GMT"",
<http://web.archive.org/web/20241205151712/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Thu, 05 Dec 2024 15:17:12 GMT"",
<http://web.archive.org/web/20241206103716/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Fri, 06 Dec 2024 10:37:16 GMT"",
<http://web.archive.org/web/20241211120800/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Wed, 11 Dec 2024 12:08:00 GMT"",
<http://web.archive.org/web/20241212221627/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Thu, 12 Dec 2024 22:16:27 GMT"",
<http://web.archive.org/web/20241213231241/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Fri, 13 Dec 2024 23:12:41 GMT"",
<http://web.archive.org/web/20241214090840/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Sat, 14 Dec 2024 09:08:40 GMT"",
<http://web.archive.org/web/20241214093244/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Sat, 14 Dec 2024 09:32:44 GMT"",
<http://web.archive.org/web/20241219065322/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Thu, 19 Dec 2024 06:53:22 GMT"",
<http://web.archive.org/web/20241224150808/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Tue, 24 Dec 2024 15:08:08 GMT"",
<http://web.archive.org/web/20241231025427/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Tue, 31 Dec 2024 02:54:27 GMT"",
<http://web.archive.org/web/20250102215639/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Thu, 02 Jan 2025 21:56:39 GMT"",
<http://web.archive.org/web/20250107124907/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Tue, 07 Jan 2025 12:49:07 GMT"",
<http://web.archive.org/web/20250110134837/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Fri, 10 Jan 2025 13:48:37 GMT"",
<http://web.archive.org/web/20250113020145/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Mon, 13 Jan 2025 02:01:45 GMT"",
<http://web.archive.org/web/20250116161548/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Thu, 16 Jan 2025 16:15:48 GMT"",
<http://web.archive.org/web/20250116205255/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Thu, 16 Jan 2025 20:52:55 GMT"",
<http://web.archive.org/web/20250118060837/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Sat, 18 Jan 2025 06:08:37 GMT"",
<http://web.archive.org/web/20250123064126/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Thu, 23 Jan 2025 06:41:26 GMT"",
<http://web.archive.org/web/20250131211446/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Fri, 31 Jan 2025 21:14:46 GMT"",
<http://web.archive.org/web/20250131235158/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Fri, 31 Jan 2025 23:51:58 GMT"",
<http://web.archive.org/web/20250201042327/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Sat, 01 Feb 2025 04:23:27 GMT"",
<http://web.archive.org/web/20250202171748/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Sun, 02 Feb 2025 17:17:48 GMT"",
<http://web.archive.org/web/20250203211800/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Mon, 03 Feb 2025 21:18:00 GMT"",
<http://web.archive.org/web/20250204043452/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Tue, 04 Feb 2025 04:34:52 GMT"",
<http://web.archive.org/web/20250204163832/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Tue, 04 Feb 2025 16:38:32 GMT"",
<http://web.archive.org/web/20250206023138/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Thu, 06 Feb 2025 02:31:38 GMT"",
<http://web.archive.org/web/20250207230830/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Fri, 07 Feb 2025 23:08:30 GMT"",
<http://web.archive.org/web/20250208114146/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Sat, 08 Feb 2025 11:41:46 GMT"",
<http://web.archive.org/web/20250211095117/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Tue, 11 Feb 2025 09:51:17 GMT"",
<http://web.archive.org/web/20250214002810/https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6>; rel=""memento""; datetime=""Fri, 14 Feb 2025 00:28:10 GMT""
","{'name': 'Weekly Provisional Counts of Deaths by State and Select Causes, 2020-2023', 'id': 'muzy-jte6', 'description': 'Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.\n\nProvisional counts of deaths by the week the deaths occurred, by state of occurrence, and by select underlying causes of death for 2020-2023.  The dataset also includes weekly provisional counts of death for COVID-19, coded to ICD-10 code U07.1 as an underlying or multiple cause of death.\n\nNOTE: death counts are presented with a one week lag.', 'datatype': 'tabular', 'keywords': ['demographics', 'health', 'socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Weekly-Provisional-Counts-of-Deaths-by-State-and-S/muzy-jte6'}"
Weekly Rates of Laboratory-Confirmed COVID-19 Hospitalizations from the COVID-NET Surveillance System,6jg4-xsqq,6jg4-xsqq_1736715822.546519_Weekly_Rates_of_Laboratory-Confirmed_COVID-19_Hospitalizations_from_the_COVID-NET_Surveillance_System_20250112.csv.gz,2025-01-12 21:03:42 UTC,https://data.cdc.gov/Public-Health-Surveillance/Weekly-Rates-of-Laboratory-Confirmed-COVID-19-Hosp/6jg4-xsqq,"The Coronavirus Disease 2019 (COVID-19) Hospitalization Surveillance Network (COVID-NET) a network that conducts active, population-based surveillance for laboratory-confirmed COVID-19-associated hospitalizations among children and adults. COVID-NET, along with the Respiratory Syncytial Virus Hospitalization Surveillance Network (RSV-NET) and the Influenza Hospitalization Surveillance Network (FluSurv-NET), comprise the Respiratory Virus Hospitalization Surveillance Network (RESP-NET). The RESP-NET platforms have overlapping surveillance areas and use similar methods to collect data. COVID-NET is CDC’s source for important data on rates of hospitalizations associated with COVID-19. Hospitalization rates show how many people in the surveillance area are hospitalized with COVID-19, compared to the total number of people residing in that area. 

Data are preliminary and subject to change as more data become available. Data will be updated weekly.",,"{'name': 'Weekly Rates of Laboratory-Confirmed COVID-19 Hospitalizations from the COVID-NET Surveillance System', 'id': '6jg4-xsqq', 'description': 'The Coronavirus Disease 2019 (COVID-19) Hospitalization Surveillance Network (COVID-NET) a network that conducts active, population-based surveillance for laboratory-confirmed COVID-19-associated hospitalizations among children and adults. COVID-NET, along with the Respiratory Syncytial Virus Hospitalization Surveillance Network (RSV-NET) and the Influenza Hospitalization Surveillance Network (FluSurv-NET), comprise the Respiratory Virus Hospitalization Surveillance Network (RESP-NET). The RESP-NET platforms have overlapping surveillance areas and use similar methods to collect data. COVID-NET is CDC’s source for important data on rates of hospitalizations associated with COVID-19. Hospitalization rates show how many people in the surveillance area are hospitalized with COVID-19, compared to the total number of people residing in that area. \n\nData are preliminary and subject to change as more data become available. Data will be updated weekly.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/Weekly-Rates-of-Laboratory-Confirmed-COVID-19-Hosp/6jg4-xsqq'}"
Weekly Rates of Laboratory-Confirmed RSV Hospitalizations from the RSV-NET Surveillance System,29hc-w46k,29hc-w46k_1736711751.240941_Weekly_Rates_of_Laboratory-Confirmed_RSV_Hospitalizations_from_the_RSV-NET_Surveillance_System_20250112.csv.gz,2025-01-12 19:55:51 UTC,https://data.cdc.gov/Public-Health-Surveillance/Weekly-Rates-of-Laboratory-Confirmed-RSV-Hospitali/29hc-w46k,"The Respiratory Syncytial Virus Hospitalization Surveillance Network (RSV-NET) is a network that conducts active, population-based surveillance for laboratory-confirmed RSV-associated hospitalizations in children younger than 18 years of age and adults. RSV-NET, along with the Coronavirus Disease 2019 (COVID-19) Hospitalization Surveillance Network (COVID-NET) an the Influenza Hospitalization Surveillance network (FluSuv-NET), comprise the Respiratory Virus Hospitalization Surveillance Network (RESP-NET).  The RESP-NET platforms have overlapping surveillance areas and use similar methods to collect data. Because the surveillance areas and age groups included in surveillance have changed over time, trends should be interpreted with caution. RSV-NET is CDC’s source for important data on rates of hospitalizations associated with RSV. Hospitalization rates show how many people in the surveillance area are hospitalized with RSV, compared to the total number of people residing in that area. 

Data are preliminary and subject to change as more data become available. Data will be updated weekly.",,"{'name': 'Weekly Rates of Laboratory-Confirmed RSV Hospitalizations from the RSV-NET Surveillance System', 'id': '29hc-w46k', 'description': 'The Respiratory Syncytial Virus Hospitalization Surveillance Network (RSV-NET) is a network that conducts active, population-based surveillance for laboratory-confirmed RSV-associated hospitalizations in children younger than 18 years of age and adults. RSV-NET, along with the Coronavirus Disease 2019 (COVID-19) Hospitalization Surveillance Network (COVID-NET) an the Influenza Hospitalization Surveillance network (FluSuv-NET), comprise the Respiratory Virus Hospitalization Surveillance Network (RESP-NET).  The RESP-NET platforms have overlapping surveillance areas and use similar methods to collect data. Because the surveillance areas and age groups included in surveillance have changed over time, trends should be interpreted with caution. RSV-NET is CDC’s source for important data on rates of hospitalizations associated with RSV. Hospitalization rates show how many people in the surveillance area are hospitalized with RSV, compared to the total number of people residing in that area. \n\nData are preliminary and subject to change as more data become available. Data will be updated weekly.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/Weekly-Rates-of-Laboratory-Confirmed-RSV-Hospitali/29hc-w46k'}"
Weekly Respiratory Syncytial Virus (RSV) Vaccination Coverage among Pregnant Women by Race and Ethnicity,g4jn-64pd,g4jn-64pd_1736714073.590046_Weekly_Respiratory_Syncytial_Virus__RSV__Vaccination_Coverage_among_Pregnant_Persons_by_Race_and_Ethnicity_20250112.csv.gz,2025-01-12 20:34:33 UTC,https://data.cdc.gov/Pregnancy-Vaccination/Weekly-Respiratory-Syncytial-Virus-RSV-Vaccination/g4jn-64pd,"Weekly RSV Vaccination Coverage, Pregnant Women 18-49 Years Old

• RSV vaccination coverage among pregnant women is assessed through the Vaccine Safety Datalink*

• Data on RSV vaccinations among pregnant women was available starting September 22, 2023, and includes doses received starting September 24, 2023.",,"{'name': 'Weekly Respiratory Syncytial Virus (RSV) Vaccination Coverage among Pregnant Women by Race and Ethnicity', 'id': 'g4jn-64pd', 'description': 'Weekly RSV Vaccination Coverage, Pregnant Women 18-49 Years Old\n\n• RSV vaccination coverage among pregnant women is assessed through the Vaccine Safety Datalink*\n\n• Data on RSV vaccinations among pregnant women was available starting September 22, 2023, and includes doses received starting September 24, 2023.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Pregnancy-Vaccination/Weekly-Respiratory-Syncytial-Virus-RSV-Vaccination/g4jn-64pd'}"
"Weekly Respiratory Syncytial Virus (RSV) Vaccination Coverage among Pregnant or Recently Pregnant Women 18-49 Years, by Race and Ethnicity",uqxy-gepz,uqxy-gepz_1736738604.166838_Weekly_Respiratory_Syncytial_Virus__RSV__Vaccination_Coverage_among_Pregnant_or_Recently_Pregnant_Women_18-49_Years__by_Race_and_Ethnicity_20250113.csv.gz,2025-01-13 03:23:24 UTC,https://data.cdc.gov/Pregnancy-Vaccination/Weekly-Respiratory-Syncytial-Virus-RSV-Vaccination/uqxy-gepz,"•	Weekly RSV Vaccination Coverage, Pregnant Women 18-49 Years Old by Race and Ethnicity 
 
•       Weekly RSV vaccination coverage estimates for pregnant women ages 18–49 years are based on electronic health record (EHR) data from the Vaccine Safety Datalink (VSD) (https://www.cdc.gov/vaccine-safety-systems/vsd/), a collaboration between CDC’s Immunization Safety Office and multiple integrated health care organizations.",,"{'name': 'Weekly Respiratory Syncytial Virus (RSV) Vaccination Coverage among Pregnant or Recently Pregnant Women 18-49 Years, by Race and Ethnicity', 'id': 'uqxy-gepz', 'description': '•\tWeekly RSV Vaccination Coverage, Pregnant Women 18-49 Years Old by Race and Ethnicity \n \n•       Weekly RSV vaccination coverage estimates for pregnant women ages 18–49 years are based on electronic health record (EHR) data from the Vaccine Safety Datalink (VSD) (https://www.cdc.gov/vaccine-safety-systems/vsd/), a collaboration between CDC’s Immunization Safety Office and multiple integrated health care organizations.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Pregnancy-Vaccination/Weekly-Respiratory-Syncytial-Virus-RSV-Vaccination/uqxy-gepz'}"
"Weekly Respiratory Virus Vaccination Data, Children 6 Months-17 Years and Adults 18 Years and Older, National Immunization Survey",5c6r-xi2t,5c6r-xi2t_1736716921.893154_Weekly_Respiratory_Virus_Vaccination_Data__Children_6_Months-17_Years_and_Adults_18_Years_and_Older__National_Immunization_Survey_20250112.csv.gz,2025-01-12 21:22:01 UTC,https://data.cdc.gov/Vaccinations/Weekly-Respiratory-Virus-Vaccination-Data-Children/5c6r-xi2t,"The weekly respiratory virus vaccination data come from the National Immunization Survey-Adult COVID Module (NIS-ACM), National Immunization Survey-Child COVID Module (NIS-CCM), and the National Immunization Survey-Flu (NIS-Flu). The NIS-ACM provides data on Influenza (flu), COVID-19, and RSV vaccination for adults aged ≥18 years in the United States. The NIS-CCM provides data on COVID-19 vaccination for children aged 6 months-17 years in the United States. The NIS-Flu provides data on Influenza vaccination for children aged 6 months-17 years in the United States National Immunization Survey data are collected by telephone interview using a random-digit-dialed sample of cellular telephone numbers stratified by state, the District of Columbia, five local jurisdictions (Bexar County TX, Chicago IL, Houston TX, New York City NY, and Philadelphia County PA), and Guam, Puerto Rico, and the United States Virgin Islands. Data are weighted to represent the non-institutionalized United States population and mitigate possible bias that can result from incomplete sample frame (exclusion of households with no phone service or only landline telephones) or non-response. All responses are self-reported, or reported by a parent for children 6 months-17 years. For more information about the surveys, see https://www.cdc.gov/vaccines/imz-managers/nis/about.html#current-surveys. Estimates should be interpreted with caution when there is a small sample size or wide confidence interval. ",,"{'name': 'Weekly Respiratory Virus Vaccination Data, Children 6 Months-17 Years and Adults 18 Years and Older, National Immunization Survey', 'id': '5c6r-xi2t', 'description': 'The weekly respiratory virus vaccination data come from the National Immunization Survey-Adult COVID Module (NIS-ACM), National Immunization Survey-Child COVID Module (NIS-CCM), and the National Immunization Survey-Flu (NIS-Flu). The NIS-ACM provides data on Influenza (flu), COVID-19, and RSV vaccination for adults aged ≥18 years in the United States. The NIS-CCM provides data on COVID-19 vaccination for children aged 6 months-17 years in the United States. The NIS-Flu provides data on Influenza vaccination for children aged 6 months-17 years in the United States National Immunization Survey data are collected by telephone interview using a random-digit-dialed sample of cellular telephone numbers stratified by state, the District of Columbia, five local jurisdictions (Bexar County TX, Chicago IL, Houston TX, New York City NY, and Philadelphia County PA), and Guam, Puerto Rico, and the United States Virgin Islands. Data are weighted to represent the non-institutionalized United States population and mitigate possible bias that can result from incomplete sample frame (exclusion of households with no phone service or only landline telephones) or non-response. All responses are self-reported, or reported by a parent for children 6 months-17 years. For more information about the surveys, see\u202fhttps://www.cdc.gov/vaccines/imz-managers/nis/about.html#current-surveys. Estimates should be interpreted with caution when there is a small sample size or wide confidence interval.\u202f', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Vaccinations/Weekly-Respiratory-Virus-Vaccination-Data-Children/5c6r-xi2t'}"
Weekly United States COVID-19 Cases and Deaths among Dialysis Patients - ARCHIVED,n5qs-vw3x,n5qs-vw3x_1736731453.465303_Weekly_United_States_COVID-19_Cases_and_Deaths_among_Dialysis_Patients_-_ARCHIVED_20250113.csv.gz,2025-01-13 01:24:13 UTC,https://data.cdc.gov/Case-Surveillance/Weekly-United-States-COVID-19-Cases-and-Deaths-amo/n5qs-vw3x,"Mandated reporting of Weekly Aggregate Case and Death Count data among dialysis patients and dialysis facility staff (healthcare personnel or HCP) in the United States was discontinued May 11, 2023, with the expiration of the COVID-19 public health emergency declaration. This dataset will contain weekly aggregate data from January 1, 2021, through May 10, 2023, and will remain publicly available.

This archived public use dataset contains reported COVID-19 case and death data per week for all states and territories, along with weekly totals for the entire United States, throughout the given timeframe.",,"{'name': 'Weekly United States COVID-19 Cases and Deaths among Dialysis Patients - ARCHIVED', 'id': 'n5qs-vw3x', 'description': 'Mandated reporting of Weekly Aggregate Case and Death Count data among dialysis patients and dialysis facility staff (healthcare personnel or HCP) in the United States was discontinued May 11, 2023, with the expiration of the COVID-19 public health emergency declaration. This dataset will contain weekly aggregate data from January 1, 2021, through May 10, 2023, and will remain publicly available.\n\nThis archived public use dataset contains reported COVID-19 case and death data per week for all states and territories, along with weekly totals for the entire United States, throughout the given timeframe.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Case-Surveillance/Weekly-United-States-COVID-19-Cases-and-Deaths-amo/n5qs-vw3x'}"
Weekly United States COVID-19 Cases and Deaths by County - ARCHIVED,yviw-z6j5,yviw-z6j5_1736721606.833723_Weekly_United_States_COVID-19_Cases_and_Deaths_by_County_-_ARCHIVED_20250112.csv.gz,2025-01-12 22:40:06 UTC,https://data.cdc.gov/dataset/Weekly-United-States-COVID-19-Cases-and-Deaths-by-/yviw-z6j5,"<b>Note:</b> 
The cumulative case count for some counties (with small population) is higher than expected due to the inclusion of non-permanent residents in COVID-19 case counts. 

Reporting of Aggregate Case and Death Count data was discontinued on May 11, 2023, with the expiration of the COVID-19 public health emergency declaration. Although these data will continue to be publicly available, this dataset will no longer be updated.

<b>Aggregate Data Collection Process
Since the beginning of the COVID-19 pandemic, data were reported through a robust process with the following steps:</b><ul><li>Aggregate county-level counts were obtained indirectly, via automated overnight web collection, or directly, via a data submission process.</li><li>If more than one official county data source existed, CDC used a comprehensive data selection process comparing each official county data source to retrieve the highest case and death counts, unless otherwise specified by the state.</li><li>A CDC data team reviewed counts for congruency prior to integration. CDC routinely compiled these data and post the finalized information on COVID Data Tracker.</li><li>Cases and deaths are based on date of report and not on the date of symptom onset. CDC calculates rates in this data by using population estimates provided by the US Census Bureau Population Estimates Program (2019 Vintage).</li><li>COVID-19 aggregate case and death data were organized in a time series that includes cumulative number of cases and deaths as reported by a jurisdiction on a given date.  New case and death counts were calculated as the week-to-week change in reported cumulative cases and deaths (i.e., newly reported cases and deaths = cumulative number of cases/deaths reported this week minus the cumulative total reported the week before.</li></ul>

This process was collaborative, with CDC and jurisdictions working together to ensure the accuracy of COVID-19 case and death numbers. County counts provided the most up-to-date numbers on cases and deaths by report date. Throughout data collection, CDC retrospectively updated counts to correct known data quality issues. CDC also worked with jurisdictions after the end of the public health emergency declaration to finalize county data. 
<ul><li><b>Source:</b> The weekly archived dataset is based on county-level aggregate count data</li><li><b>Confirmed/Probable Cases/Death breakdown:</b> Cumulative cases and deaths for each county are included.  Total reported cases include probable and confirmed cases.</li><li><b>Time Series Frequency:</b> The weekly archived dataset contains weekly time series data (i.e., one record per week per county)</li></ul>
 
<b>Important note:</b> The counts reflected during a given time period in this dataset may not match the counts reflected for the same time period in the daily archived dataset noted above. Discrepancies may exist due to differences between county and state COVID-19 case surveillance and reconciliation efforts.

The surveillance case definition for COVID-19, a nationally notifiable disease, was first described in a <a href=""https://ndc.services.cdc.gov/case-definitions/coronavirus-disease-2019-covid-19/"">position statement</a> from the Council for State and Territorial Epidemiologists, which was later <a href=""https://ndc.services.cdc.gov/case-definitions/coronavirus-disease-2019-covid-19/"">revised</a>. However, there is some variation in how jurisdictions implement these case classifications. More information on how CDC collects COVID-19 case surveillance data can be found at <a href=""https://www.cdc.gov/coronavirus/2019-ncov/covid-data/faq-surveillance.html"">FAQ: COVID-19 Data and Surveillance</a>.

<b>Confirmed and Probable Counts</b>
In this dataset, counts by jurisdiction are not displayed by confirmed or probable status. Instead, counts of confirmed and probable cases and deaths are included in the Total Cases and Total Deaths columns, when available. Not all jurisdictions report",,"{'name': 'Weekly United States COVID-19 Cases and Deaths by County - ARCHIVED', 'id': 'yviw-z6j5', 'description': '<b>Note:</b> \nThe cumulative case count for some counties (with small population) is higher than expected due to the inclusion of non-permanent residents in COVID-19 case counts. \n\nReporting of Aggregate Case and Death Count data was discontinued on May 11, 2023, with the expiration of the COVID-19 public health emergency declaration. Although these data will continue to be publicly available, this dataset will no longer be updated.\n\n<b>Aggregate Data Collection Process\nSince the beginning of the COVID-19 pandemic, data were reported through a robust process with the following steps:</b><ul><li>Aggregate county-level counts were obtained indirectly, via automated overnight web collection, or directly, via a data submission process.</li><li>If more than one official county data source existed, CDC used a comprehensive data selection process comparing each official county data source to retrieve the highest case and death counts, unless otherwise specified by the state.</li><li>A CDC data team reviewed counts for congruency prior to integration. CDC routinely compiled these data and post the finalized information on COVID Data Tracker.</li><li>Cases and deaths are based on date of report and not on the date of symptom onset. CDC calculates rates in this data by using population estimates provided by the US Census Bureau Population Estimates Program (2019 Vintage).</li><li>COVID-19 aggregate case and death data were organized in a time series that includes cumulative number of cases and deaths as reported by a jurisdiction on a given date.  New case and death counts were calculated as the week-to-week change in reported cumulative cases and deaths (i.e., newly reported cases and deaths = cumulative number of cases/deaths reported this week minus the cumulative total reported the week before.</li></ul>\n\nThis process was collaborative, with CDC and jurisdictions working together to ensure the accuracy of COVID-19 case and death numbers. County counts provided the most up-to-date numbers on cases and deaths by report date. Throughout data collection, CDC retrospectively updated counts to correct known data quality issues. CDC also worked with jurisdictions after the end of the public health emergency declaration to finalize county data. \n<ul><li><b>Source:</b> The weekly archived dataset is based on county-level aggregate count data</li><li><b>Confirmed/Probable Cases/Death breakdown:</b> Cumulative cases and deaths for each county are included.  Total reported cases include probable and confirmed cases.</li><li><b>Time Series Frequency:</b> The weekly archived dataset contains weekly time series data (i.e., one record per week per county)</li></ul>\n \n<b>Important note:</b> The counts reflected during a given time period in this dataset may not match the counts reflected for the same time period in the daily archived dataset noted above. Discrepancies may exist due to differences between county and state COVID-19 case surveillance and reconciliation efforts.\n\nThe surveillance case definition for COVID-19, a nationally notifiable disease, was first described in a <a href=""https://ndc.services.cdc.gov/case-definitions/coronavirus-disease-2019-covid-19/"">position statement</a> from the Council for State and Territorial Epidemiologists, which was later <a href=""https://ndc.services.cdc.gov/case-definitions/coronavirus-disease-2019-covid-19/"">revised</a>. However, there is some variation in how jurisdictions implement these case classifications. More information on how CDC collects COVID-19 case surveillance data can be found at <a href=""https://www.cdc.gov/coronavirus/2019-ncov/covid-data/faq-surveillance.html"">FAQ: COVID-19 Data and Surveillance</a>.\n\n<b>Confirmed and Probable Counts</b>\nIn this dataset, counts by jurisdiction are not displayed by confirmed or probable status. Instead, counts of confirmed and probable cases and deaths are included in the Total Cases and Total Deaths columns, when available. Not all jurisdictions report', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/dataset/Weekly-United-States-COVID-19-Cases-and-Deaths-by-/yviw-z6j5'}"
Weekly United States COVID-19 Cases and Deaths by State - ARCHIVED,pwn4-m3yp,pwn4-m3yp_1736708220.138624_Weekly_United_States_COVID-19_Cases_and_Deaths_by_State_-_ARCHIVED_20250112.csv.gz,2025-01-12 18:57:00 UTC,https://data.cdc.gov/Case-Surveillance/Weekly-United-States-COVID-19-Cases-and-Deaths-by-/pwn4-m3yp,"Reporting of new Aggregate Case and Death Count data was discontinued May 11, 2023, with the expiration of the COVID-19 public health emergency declaration. This dataset will receive a final update on June 1, 2023, to reconcile historical data through May 10, 2023, and will remain publicly available.

<b>Aggregate Data Collection Process </b>
Since the start of the COVID-19 pandemic, data have been gathered through a robust process with the following steps: 
<ul><li>A CDC data team reviews and validates the information obtained from jurisdictions’ state and local websites via an overnight data review process.</li>
<li>If more than one official county data source exists, CDC uses a comprehensive data selection process comparing each official county data source, and takes the highest case and death counts respectively, unless otherwise specified by the state. </li>
<li>CDC compiles these data and posts the finalized information on COVID Data Tracker. </li>
<li>County level data is aggregated to obtain state and territory specific totals.</li>
</ul>This process is collaborative, with CDC and jurisdictions working together to ensure the accuracy of COVID-19 case and death numbers. County counts provide the most up-to-date numbers on cases and deaths by report date. CDC may retrospectively update counts to correct data quality issues. 

<b>Methodology Changes </b>
Several differences exist between the current, weekly-updated dataset and the archived version: 
<ul><li><b>Source:</b> The current Weekly-Updated Version is based on county-level aggregate count data, while the Archived Version is based on State-level aggregate count data. </li>
<li><b>Confirmed/Probable Cases/Death breakdown: </b> While the probable cases and deaths are included in the total case and total death counts in both versions (if applicable), they were reported separately from the confirmed cases and deaths by jurisdiction in the Archived Version.  In the current Weekly-Updated Version, the counts by jurisdiction are not reported by confirmed or probable status (See Confirmed and Probable Counts section for more detail).</li>
<li><b>Time Series Frequency:</b> The current Weekly-Updated Version contains weekly time series data (i.e., one record per week per jurisdiction), while the Archived Version contains daily time series data (i.e., one record per day per jurisdiction). </li>
<li><b>Update Frequency:</b> The current Weekly-Updated Version is updated weekly, while the Archived Version was updated twice daily up to October 20, 2022. </li></ul>
<b>Important note:</b> The counts reflected during a given time period in this dataset may not match the counts reflected for the same time period in the archived dataset noted above. Discrepancies may exist due to differences between county and state COVID-19 case surveillance and reconciliation efforts. 

<b>Confirmed and Probable Counts </b>
In this dataset, counts by jurisdiction are not displayed by confirmed or probable status. Instead, confirmed and probable cases and deaths are included in the Total Cases and Total Deaths columns, when available. Not all jurisdictions report probable cases and deaths to CDC.* Confirmed and probable case definition criteria are described here: 

<a href=""https://cdn.ymaws.com/www.cste.org/resource/resmgr/ps/ps2022/22-ID-01_COVID19.pdf"">Council of State and Territorial Epidemiologists (ymaws.com).</a>

<b>Deaths</b>
CDC reports death data on other sections of the website: <a href=""https://covid.cdc.gov/covid-data-tracker/#datatracker-home""> CDC COVID Data Tracker: Home</a>, <a href=""https://covid.cdc.gov/covid-data-tracker/?CDC_AA_refVal=https%3A%2F%2Fwww.cdc.gov%2Fcoronavirus%2F2019-ncov%2Fcases-updates%2Fcases-in-us.html#cases_casesper100klast7days"">CDC COVID Data Tracker: Cases, Deaths, and Testing</a>, and <a href=""https://www.cdc.gov/nchs/nvss/covid-19.htm"">NCHS Provisional Death Counts</a>. Information presented on the COVID Data Tracker pages is based on the same source (to",,"{'name': 'Weekly United States COVID-19 Cases and Deaths by State - ARCHIVED', 'id': 'pwn4-m3yp', 'description': 'Reporting of new Aggregate Case and Death Count data was discontinued May 11, 2023, with the expiration of the COVID-19 public health emergency declaration. This dataset will receive a final update on June 1, 2023, to reconcile historical data through May 10, 2023, and will remain publicly available.\n\n<b>Aggregate Data Collection Process </b>\nSince the start of the COVID-19 pandemic, data have been gathered through a robust process with the following steps: \n<ul><li>A CDC data team reviews and validates the information obtained from jurisdictions’ state and local websites via an overnight data review process.</li>\n<li>If more than one official county data source exists, CDC uses a comprehensive data selection process comparing each official county data source, and takes the highest case and death counts respectively, unless otherwise specified by the state. </li>\n<li>CDC compiles these data and posts the finalized information on COVID Data Tracker. </li>\n<li>County level data is aggregated to obtain state and territory specific totals.</li>\n</ul>This process is collaborative, with CDC and jurisdictions working together to ensure the accuracy of COVID-19 case and death numbers. County counts provide the most up-to-date numbers on cases and deaths by report date. CDC may retrospectively update counts to correct data quality issues. \n\n<b>Methodology Changes </b>\nSeveral differences exist between the current, weekly-updated dataset and the archived version: \n<ul><li><b>Source:</b>\u202fThe current Weekly-Updated Version is based on county-level aggregate count data, while the Archived Version is based on State-level aggregate count data. </li>\n<li><b>Confirmed/Probable Cases/Death breakdown:\u202f</b> While the probable cases and deaths are included in the total case and total death counts in both versions (if applicable), they were reported separately from the confirmed cases and deaths by jurisdiction in the Archived Version.\u202f In the current Weekly-Updated Version, the counts by jurisdiction are not reported by confirmed or probable status (See Confirmed and Probable Counts section for more detail).</li>\n<li><b>Time Series Frequency:</b> The current Weekly-Updated Version contains weekly time series data (i.e., one record per week per jurisdiction), while the Archived Version contains daily time series data (i.e., one record per day per jurisdiction). </li>\n<li><b>Update Frequency:</b>\u202fThe current Weekly-Updated Version is updated weekly, while the Archived Version was updated twice daily up to October 20, 2022. </li></ul>\n<b>Important note:</b> The counts reflected during a given time period in this dataset may not match the counts reflected for the same time period in the archived dataset noted above. Discrepancies may exist due to differences between county and state COVID-19 case surveillance and reconciliation efforts. \n\n<b>Confirmed and Probable Counts </b>\nIn this dataset, counts by jurisdiction are not displayed by confirmed or probable status. Instead, confirmed and probable cases and deaths are included in the Total Cases and Total Deaths columns, when available. Not all jurisdictions report probable cases and deaths to CDC.* Confirmed and probable case definition criteria are described here: \n\n<a href=""https://cdn.ymaws.com/www.cste.org/resource/resmgr/ps/ps2022/22-ID-01_COVID19.pdf"">Council of State and Territorial Epidemiologists (ymaws.com).</a>\n\n<b>Deaths</b>\nCDC reports death data on other sections of the website: <a href=""https://covid.cdc.gov/covid-data-tracker/#datatracker-home""> CDC COVID Data Tracker: Home</a>, <a href=""https://covid.cdc.gov/covid-data-tracker/?CDC_AA_refVal=https%3A%2F%2Fwww.cdc.gov%2Fcoronavirus%2F2019-ncov%2Fcases-updates%2Fcases-in-us.html#cases_casesper100klast7days"">CDC COVID Data Tracker: Cases, Deaths, and Testing</a>, and <a href=""https://www.cdc.gov/nchs/nvss/covid-19.htm"">NCHS Provisional Death Counts</a>. Information presented on the COVID Data Tracker pages is based on the same source (to', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Case-Surveillance/Weekly-United-States-COVID-19-Cases-and-Deaths-by-/pwn4-m3yp'}"
Weekly United States COVID-19 Hospitalization Metrics by County (Historical) – ARCHIVED,82ci-krud,82ci-krud_1736724873.776967_Weekly_United_States_COVID-19_Hospitalization_Metrics_by_County__Historical____ARCHIVED_20250112.csv.gz,2025-01-12 23:34:33 UTC,https://data.cdc.gov/Public-Health-Surveillance/Weekly-United-States-COVID-19-Hospitalization-Metr/82ci-krud,"<b>Note:</b> After May 3, 2024, this dataset will no longer be updated because hospitals are no longer required to report data on COVID-19 hospital admissions, hospital capacity, or occupancy data to HHS through CDC’s National Healthcare Safety Network (NHSN). The related CDC COVID Data Tracker site was revised or retired on May 10, 2023.

<b>Note:</b>
<b>May 3,2024:</b> Due to incomplete or missing hospital data received for the April 21,2024 through April 27, 2024 reporting period, the COVID-19 Hospital Admissions Level could not be calculated for CNMI and will be reported as “NA” or “Not Available” in the COVID-19 Hospital Admissions Level data released on May 3, 2024.


This dataset represents COVID-19 hospitalization data and metrics aggregated to county or county-equivalent, for all counties or county-equivalents (including territories) in the United States as of the initial date of reporting for each weekly metric. COVID-19 hospitalization data are reported to CDC’s National Healthcare Safety Network, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN and included in this dataset represent aggregated counts and include metrics capturing information specific to COVID-19 hospital admissions, and inpatient and ICU bed capacity occupancy.

<b>Reporting information:</b><ul><li>As of December 15, 2022, COVID-19 hospital data are required to be reported to  NHSN, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN represent aggregated counts and include metrics capturing information specific to hospital capacity, occupancy, hospitalizations, and admissions. Prior to December 15, 2022, hospitals reported data directly to the U.S. Department of Health and Human Services (HHS) or via a state submission for collection in the HHS Unified Hospital Data Surveillance System (UHDSS). </li><li>While CDC reviews these data for errors and corrects those found, some reporting errors might still exist within the data. To minimize errors and inconsistencies in data reported, CDC removes outliers before calculating the metrics. CDC and partners work with reporters to correct these errors and update the data in subsequent weeks.</li><li>Many hospital subtypes, including acute care and critical access hospitals, as well as Veterans Administration, Defense Health Agency, and Indian Health Service hospitals, are included in the metric calculations provided in this report. Psychiatric, rehabilitation, and religious non-medical hospital types are excluded from calculations.  </li><li>Data are aggregated and displayed for hospitals with the same Centers for Medicare and Medicaid Services (CMS) Certification Number (CCN), which are assigned by CMS to counties based on the CMS Provider of Services files. </li> <li>Full details on COVID-19 hospital data reporting guidance can be found here: https://www.hhs.gov/sites/default/files/covid-19-faqs-hospitals-hospital-laboratory-acute-care-facility-data-reporting.pdf</li></ul>
<b>Calculation of county-level hospital metrics:</b><ul><li>County-level hospital data are derived using calculations performed at the Health Service Area (HSA) level. An HSA is defined by CDC’s National Center for Health Statistics as a geographic area containing at least one county which is self-contained with respect to the population’s provision of routine hospital care. Every county in the United States is assigned to an HSA, and each HSA must contain at least one hospital. Therefore, use of HSAs in the calculation of local hospital metrics allows for more accurate characterization of the relationship between health care utilization and health status at the local level. </li><li>Data presented at the county-level represent admissions, hosp",,"{'name': 'Weekly United States COVID-19 Hospitalization Metrics by County (Historical) – ARCHIVED', 'id': '82ci-krud', 'description': '<b>Note:</b> After May 3, 2024, this dataset will no longer be updated because hospitals are no longer required to report data on COVID-19 hospital admissions, hospital capacity, or occupancy data to HHS through CDC’s National Healthcare Safety Network (NHSN). The related CDC COVID Data Tracker site was revised or retired on May 10, 2023.\n\n<b>Note:</b>\n<b>May 3,2024:</b> Due to incomplete or missing hospital data received for the April 21,2024 through April 27, 2024 reporting period, the COVID-19 Hospital Admissions Level could not be calculated for CNMI and will be reported as “NA” or “Not Available” in the COVID-19 Hospital Admissions Level data released on May 3, 2024.\n\n\nThis dataset represents COVID-19 hospitalization data and metrics aggregated to county or county-equivalent, for all counties or county-equivalents (including territories) in the United States as of the initial date of reporting for each weekly metric. COVID-19 hospitalization data are reported to CDC’s National Healthcare Safety Network, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN and included in this dataset represent aggregated counts and include metrics capturing information specific to COVID-19 hospital admissions, and inpatient and ICU bed capacity occupancy.\n\n<b>Reporting information:</b><ul><li>As of December 15, 2022, COVID-19 hospital data are required to be reported to  NHSN, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN represent aggregated counts and include metrics capturing information specific to hospital capacity, occupancy, hospitalizations, and admissions. Prior to December 15, 2022, hospitals reported data directly to the U.S. Department of Health and Human Services (HHS) or via a state submission for collection in the HHS Unified Hospital Data Surveillance System (UHDSS). </li><li>While CDC reviews these data for errors and corrects those found, some reporting errors might still exist within the data. To minimize errors and inconsistencies in data reported, CDC removes outliers before calculating the metrics. CDC and partners work with reporters to correct these errors and update the data in subsequent weeks.</li><li>Many hospital subtypes, including acute care and critical access hospitals, as well as Veterans Administration, Defense Health Agency, and Indian Health Service hospitals, are included in the metric calculations provided in this report. Psychiatric, rehabilitation, and religious non-medical hospital types are excluded from calculations.  </li><li>Data are aggregated and displayed for hospitals with the same Centers for Medicare and Medicaid Services (CMS) Certification Number (CCN), which are assigned by CMS to counties based on the CMS Provider of Services files. </li> <li>Full details on COVID-19 hospital data reporting guidance can be found here: https://www.hhs.gov/sites/default/files/covid-19-faqs-hospitals-hospital-laboratory-acute-care-facility-data-reporting.pdf</li></ul>\n<b>Calculation of county-level hospital metrics:</b><ul><li>County-level hospital data are derived using calculations performed at the Health Service Area (HSA) level. An HSA is defined by CDC’s National Center for Health Statistics as a geographic area containing at least one county which is self-contained with respect to the population’s provision of routine hospital care. Every county in the United States is assigned to an HSA, and each HSA must contain at least one hospital. Therefore, use of HSAs in the calculation of local hospital metrics allows for more accurate characterization of the relationship between health care utilization and health status at the local level. </li><li>Data presented at the county-level represent admissions, hosp', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/Weekly-United-States-COVID-19-Hospitalization-Metr/82ci-krud'}"
Weekly United States COVID-19 Hospitalization Metrics by County – ARCHIVED,akn2-qxic,akn2-qxic_1736710015.033515_Weekly_United_States_COVID-19_Hospitalization_Metrics_by_County___ARCHIVED_20250112.csv.gz,2025-01-12 19:26:55 UTC,https://data.cdc.gov/Public-Health-Surveillance/Weekly-United-States-COVID-19-Hospitalization-Metr/akn2-qxic,"<b>Note:</b> After May 3, 2024, this dataset will no longer be updated because hospitals are no longer required to report data on COVID-19 hospital admissions, hospital capacity, or occupancy data to HHS through CDC’s National Healthcare Safety Network (NHSN). The related CDC COVID Data Tracker site was revised or retired on May 10, 2023.

<b>Note:</b>
<b>May 3,2024:</b> Due to incomplete or missing hospital data received for the April 21,2024 through April 27, 2024 reporting period, the COVID-19 Hospital Admissions Level could not be calculated for CNMI and will be reported as “NA” or “Not Available” in the COVID-19 Hospital Admissions Level data released on May 3, 2024.

This dataset represents COVID-19 hospitalization data and metrics aggregated to county or county-equivalent, for all counties or county-equivalents (including territories) in the United States. COVID-19 hospitalization data are reported to CDC’s National Healthcare Safety Network, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN and included in this dataset represent aggregated counts and include metrics capturing information specific to COVID-19 hospital admissions, and inpatient and ICU bed capacity occupancy.

<b>Reporting information:</b><ul><li>As of December 15, 2022, COVID-19 hospital data are required to be reported to  NHSN, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN represent aggregated counts and include metrics capturing information specific to hospital capacity, occupancy, hospitalizations, and admissions. Prior to December 15, 2022, hospitals reported data directly to the U.S. Department of Health and Human Services (HHS) or via a state submission for collection in the HHS Unified Hospital Data Surveillance System (UHDSS). </li><li>While CDC reviews these data for errors and corrects those found, some reporting errors might still exist within the data. To minimize errors and inconsistencies in data reported, CDC removes outliers before calculating the metrics. CDC and partners work with reporters to correct these errors and update the data in subsequent weeks.</li><li>Many hospital subtypes, including acute care and critical access hospitals, as well as Veterans Administration, Defense Health Agency, and Indian Health Service hospitals, are included in the metric calculations provided in this report. Psychiatric, rehabilitation, and religious non-medical hospital types are excluded from calculations.  </li><li>Data are aggregated and displayed for hospitals with the same Centers for Medicare and Medicaid Services (CMS) Certification Number (CCN), which are assigned by CMS to counties based on the CMS Provider of Services files. </li> <li>Full details on COVID-19 hospital data reporting guidance can be found here: https://www.hhs.gov/sites/default/files/covid-19-faqs-hospitals-hospital-laboratory-acute-care-facility-data-reporting.pdf</li></ul>
<b>Calculation of county-level hospital metrics:</b><ul><li>County-level hospital data are derived using calculations performed at the Health Service Area (HSA) level. An HSA is defined by CDC’s National Center for Health Statistics as a geographic area containing at least one county which is self-contained with respect to the population’s provision of routine hospital care. Every county in the United States is assigned to an HSA, and each HSA must contain at least one hospital. Therefore, use of HSAs in the calculation of local hospital metrics allows for more accurate characterization of the relationship between health care utilization and health status at the local level. </li><li>Data presented at the county-level represent admissions, hospital inpatient and ICU bed capacity and occupancy among hosp",,"{'name': 'Weekly United States COVID-19 Hospitalization Metrics by County – ARCHIVED', 'id': 'akn2-qxic', 'description': '<b>Note:</b> After May 3, 2024, this dataset will no longer be updated because hospitals are no longer required to report data on COVID-19 hospital admissions, hospital capacity, or occupancy data to HHS through CDC’s National Healthcare Safety Network (NHSN). The related CDC COVID Data Tracker site was revised or retired on May 10, 2023.\n\n<b>Note:</b>\n<b>May 3,2024:</b> Due to incomplete or missing hospital data received for the April 21,2024 through April 27, 2024 reporting period, the COVID-19 Hospital Admissions Level could not be calculated for CNMI and will be reported as “NA” or “Not Available” in the COVID-19 Hospital Admissions Level data released on May 3, 2024.\n\nThis dataset represents COVID-19 hospitalization data and metrics aggregated to county or county-equivalent, for all counties or county-equivalents (including territories) in the United States. COVID-19 hospitalization data are reported to CDC’s National Healthcare Safety Network, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN and included in this dataset represent aggregated counts and include metrics capturing information specific to COVID-19 hospital admissions, and inpatient and ICU bed capacity occupancy.\n\n<b>Reporting information:</b><ul><li>As of December 15, 2022, COVID-19 hospital data are required to be reported to  NHSN, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN represent aggregated counts and include metrics capturing information specific to hospital capacity, occupancy, hospitalizations, and admissions. Prior to December 15, 2022, hospitals reported data directly to the U.S. Department of Health and Human Services (HHS) or via a state submission for collection in the HHS Unified Hospital Data Surveillance System (UHDSS). </li><li>While CDC reviews these data for errors and corrects those found, some reporting errors might still exist within the data. To minimize errors and inconsistencies in data reported, CDC removes outliers before calculating the metrics. CDC and partners work with reporters to correct these errors and update the data in subsequent weeks.</li><li>Many hospital subtypes, including acute care and critical access hospitals, as well as Veterans Administration, Defense Health Agency, and Indian Health Service hospitals, are included in the metric calculations provided in this report. Psychiatric, rehabilitation, and religious non-medical hospital types are excluded from calculations.  </li><li>Data are aggregated and displayed for hospitals with the same Centers for Medicare and Medicaid Services (CMS) Certification Number (CCN), which are assigned by CMS to counties based on the CMS Provider of Services files. </li> <li>Full details on COVID-19 hospital data reporting guidance can be found here: https://www.hhs.gov/sites/default/files/covid-19-faqs-hospitals-hospital-laboratory-acute-care-facility-data-reporting.pdf</li></ul>\n<b>Calculation of county-level hospital metrics:</b><ul><li>County-level hospital data are derived using calculations performed at the Health Service Area (HSA) level. An HSA is defined by CDC’s National Center for Health Statistics as a geographic area containing at least one county which is self-contained with respect to the population’s provision of routine hospital care. Every county in the United States is assigned to an HSA, and each HSA must contain at least one hospital. Therefore, use of HSAs in the calculation of local hospital metrics allows for more accurate characterization of the relationship between health care utilization and health status at the local level. </li><li>Data presented at the county-level represent admissions, hospital inpatient and ICU bed capacity and occupancy among hosp', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/Weekly-United-States-COVID-19-Hospitalization-Metr/akn2-qxic'}"
Weekly United States COVID-19 Hospitalization Metrics by Jurisdiction – ARCHIVED,7dk4-g6vg,7dk4-g6vg_1736715240.278668_Weekly_United_States_COVID-19_Hospitalization_Metrics_by_Jurisdiction___ARCHIVED_20250112.csv.gz,2025-01-12 20:54:00 UTC,https://data.cdc.gov/Public-Health-Surveillance/Weekly-United-States-COVID-19-Hospitalization-Metr/7dk4-g6vg,"<b>Note:</b> After May 3, 2024, this dataset will no longer be updated because hospitals are no longer required to report data on COVID-19 hospital admissions, hospital capacity, or occupancy data to HHS through CDC’s National Healthcare Safety Network (NHSN). The related CDC COVID Data Tracker site was revised or retired on May 10, 2023.

This dataset represents weekly COVID-19 hospitalization data and metrics aggregated to national, state/territory, and regional levels. COVID-19 hospitalization data are reported to CDC’s National Healthcare Safety Network, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN and included in this dataset represent aggregated counts and include metrics capturing information specific to COVID-19 hospital admissions, and inpatient and ICU bed capacity occupancy.

<b>Reporting information:</b><ul><li>As of December 15, 2022, COVID-19 hospital data are required to be reported to NHSN, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN represent aggregated counts and include metrics capturing information specific to hospital capacity, occupancy, hospitalizations, and admissions. Prior to December 15, 2022, hospitals reported data directly to the U.S. Department of Health and Human Services (HHS) or via a state submission for collection in the HHS Unified Hospital Data Surveillance System (UHDSS).</li><li>While CDC reviews these data for errors and corrects those found, some reporting errors might still exist within the data. To minimize errors and inconsistencies in data reported, CDC removes outliers before calculating the metrics. CDC and partners work with reporters to correct these errors and update the data in subsequent weeks.</li><li>Many hospital subtypes, including acute care and critical access hospitals, as well as Veterans Administration, Defense Health Agency, and Indian Health Service hospitals, are included in the metric calculations provided in this report. Psychiatric, rehabilitation, and religious non-medical hospital types are excluded from calculations.</li><li>Data are aggregated and displayed for hospitals with the same Centers for Medicare and Medicaid Services (CMS) Certification Number (CCN), which are assigned by CMS to counties based on the CMS Provider of Services files.</li><li>Full details on COVID-19 hospital data reporting guidance can be found here: https://www.hhs.gov/sites/default/files/covid-19-faqs-hospitals-hospital-laboratory-acute-care-facility-data-reporting.pdf</li></ul>

<b>Metric details:</b><ul><li><b>Time Period:</b> timeseries data will update weekly on Mondays as soon as they are reviewed and verified, usually before 8 pm ET. Updates will occur the following day when reporting coincides with a federal holiday. Note: Weekly updates might be delayed due to delays in reporting. All data are provisional. Because these provisional counts are subject to change, including updates to data reported previously, adjustments can occur. Data may be updated since original publication due to delays in reporting (to account for data received after a given Thursday publication) or data quality corrections.</li><li><b>New COVID-19 Hospital Admissions (count):</b> Number of new admissions of patients with laboratory-confirmed COVID-19 in the previous week (including both adult and pediatric admissions) in the entire jurisdiction.</li><li><b>New COVID-19 Hospital Admissions (7-Day Average):</b> 7-day average of new admissions of patients with laboratory-confirmed COVID-19 in the previous week (including both adult and pediatric admissions) in the entire jurisdiction.</li><li><b>Cumulative COVID-19 Hospital Admissions:</b> Cumulative total number of admissions of patients with labo",,"{'name': 'Weekly United States COVID-19 Hospitalization Metrics by Jurisdiction – ARCHIVED', 'id': '7dk4-g6vg', 'description': '<b>Note:</b> After May 3, 2024, this dataset will no longer be updated because hospitals are no longer required to report data on COVID-19 hospital admissions, hospital capacity, or occupancy data to HHS through CDC’s National Healthcare Safety Network (NHSN). The related CDC COVID Data Tracker site was revised or retired on May 10, 2023.\n\nThis dataset represents weekly COVID-19 hospitalization data and metrics aggregated to national, state/territory, and regional levels. COVID-19 hospitalization data are reported to CDC’s National Healthcare Safety Network, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN and included in this dataset represent aggregated counts and include metrics capturing information specific to COVID-19 hospital admissions, and inpatient and ICU bed capacity occupancy.\n\n<b>Reporting information:</b><ul><li>As of December 15, 2022, COVID-19 hospital data are required to be reported to NHSN, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN represent aggregated counts and include metrics capturing information specific to hospital capacity, occupancy, hospitalizations, and admissions. Prior to December 15, 2022, hospitals reported data directly to the U.S. Department of Health and Human Services (HHS) or via a state submission for collection in the HHS Unified Hospital Data Surveillance System (UHDSS).</li><li>While CDC reviews these data for errors and corrects those found, some reporting errors might still exist within the data. To minimize errors and inconsistencies in data reported, CDC removes outliers before calculating the metrics. CDC and partners work with reporters to correct these errors and update the data in subsequent weeks.</li><li>Many hospital subtypes, including acute care and critical access hospitals, as well as Veterans Administration, Defense Health Agency, and Indian Health Service hospitals, are included in the metric calculations provided in this report. Psychiatric, rehabilitation, and religious non-medical hospital types are excluded from calculations.</li><li>Data are aggregated and displayed for hospitals with the same Centers for Medicare and Medicaid Services (CMS) Certification Number (CCN), which are assigned by CMS to counties based on the CMS Provider of Services files.</li><li>Full details on COVID-19 hospital data reporting guidance can be found here: https://www.hhs.gov/sites/default/files/covid-19-faqs-hospitals-hospital-laboratory-acute-care-facility-data-reporting.pdf</li></ul>\n\n<b>Metric details:</b><ul><li><b>Time Period:</b> timeseries data will update weekly on Mondays as soon as they are reviewed and verified, usually before 8 pm ET. Updates will occur the following day when reporting coincides with a federal holiday. Note: Weekly updates might be delayed due to delays in reporting. All data are provisional. Because these provisional counts are subject to change, including updates to data reported previously, adjustments can occur. Data may be updated since original publication due to delays in reporting (to account for data received after a given Thursday publication) or data quality corrections.</li><li><b>New COVID-19 Hospital Admissions (count):</b> Number of new admissions of patients with laboratory-confirmed COVID-19 in the previous week (including both adult and pediatric admissions) in the entire jurisdiction.</li><li><b>New COVID-19 Hospital Admissions (7-Day Average):</b> 7-day average of new admissions of patients with laboratory-confirmed COVID-19 in the previous week (including both adult and pediatric admissions) in the entire jurisdiction.</li><li><b>Cumulative COVID-19 Hospital Admissions:</b> Cumulative total number of admissions of patients with labo', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/Weekly-United-States-COVID-19-Hospitalization-Metr/7dk4-g6vg'}"
"Weekly United States Hospitalization Metrics by Jurisdiction, During Mandatory Reporting Period from August 1, 2020 to April 30, 2024, and for Data Reported Voluntarily Beginning May 1, 2024, National Healthcare Safety Network (NHSN) (Historical)-ARCHIVED",ype6-idgy,ype6-idgy_1736732132.223477_Weekly_United_States_Hospitalization_Metrics_by_Jurisdiction__During_Mandatory_Reporting_Period_from_August_1__2020_to_April_30__2024__and_for_Data_Reported_Voluntarily_Beginning_May_1__2024__National_Healthcare_Safety_N.csv.gz,2025-01-13 01:35:32 UTC,https://data.cdc.gov/Public-Health-Surveillance/Weekly-United-States-Hospitalization-Metrics-by-Ju/ype6-idgy,"<b>Note:</b> 
After November 1, 2024, this dataset will no longer be updated due to a transition in NHSN Hospital Respiratory Data reporting that occurred on Friday, November 1, 2024. For more information on NHSN Hospital Respiratory Data reporting, please visit https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html.

Due to a recent update in voluntary NHSN Hospital Respiratory Data reporting that occurred on Wednesday, October 9, 2024, reporting levels and other data displayed on this page may fluctuate week-over-week beginning Friday, October 18, 2024. For more information on NHSN Hospital Respiratory Data reporting, please visit https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html.  Find more information about the updated CMS requirements: https://www.federalregister.gov/documents/2024/08/28/2024-17021/medicare-and-medicaid-programs-and-the-childrens-health-insurance-program-hospital-inpatient.   
.
This dataset represents weekly respiratory virus-related hospitalization data and metrics aggregated to national and state/territory levels reported during two periods: 1) data for collection dates from August 1, 2020 to April 30, 2024, represent data reported by hospitals during a mandated reporting period as specified by the HHS Secretary; and 2) data for collection dates beginning May 1, 2024, represent data reported voluntarily by hospitals to CDC’s National Healthcare Safety Network (NHSN). NHSN monitors national and local trends in healthcare system stress and capacity for up to approximately 6,000 hospitals in the United States. Data reported represent aggregated counts and include metrics capturing information specific to COVID-19- and influenza-related hospitalizations, hospital occupancy, and hospital capacity. Find more information about reporting to NHSN at: https://www.cdc.gov/nhsn/covid19/hospital-reporting.html

<b>Source: COVID-19 hospitalization data reported to CDC’s National Healthcare Safety Network (NHSN).</b>
<ul><li><b>Data source description(updated October 18, 2024):</b> As of October 9, 2024, Hospital Respiratory Data (HRD; formerly Respiratory Pathogen, Hospital Capacity, and Supply data or ‘COVID-19 hospital data’) are reported to HHS through CDC’s National Healthcare Safety Network based on updated requirements from the Centers for Medicare and Medicaid Services (CMS). These data are voluntarily reported to NHSN as of May 1, 2024 until November 1, 2024, at which time CMS will require acute care and critical access hospitals to electronically report information via NHSN about COVID-19, Influenza, and RSV, hospital bed census and capacity, and limited patient demographic information, including age. Data for collection dates prior to May 1, 2024, represent data reported during a previously mandated reporting period as specified by the HHS Secretary. Data for collection dates May 1, 2024, and onwards represent data reported voluntarily to NHSN; as such, data included represents reporting hospitals only for a given week and might not be complete or representative of all hospitals. NHSN monitors national and local trends in healthcare system stress and capacity for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN represent aggregated counts and include metrics capturing information specific to hospital capacity, occupancy, hospitalizations, and admissions. Find more information about reporting to NHSN: https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html. Find more information about the updated CMS requirements: https://www.federalregister.gov/documents/2024/08/28/2024-17021/medicare-and-medicaid-programs-and-the-childrens-health-insurance-program-hospital-inpatient.</li><li><b>Data quality:</b> While CDC reviews reported data for completeness and errors and corrects those found, some reporting errors might still exist within the data. CDC and partners work with reporters to correct these errors and update the data in subsequent weeks",,"{'name': 'Weekly United States Hospitalization Metrics by Jurisdiction, During Mandatory Reporting Period from August 1, 2020 to April 30, 2024, and for Data Reported Voluntarily Beginning May 1, 2024, National Healthcare Safety Network (NHSN) (Historical)-ARCHIVED', 'id': 'ype6-idgy', 'description': '<b>Note:</b> \nAfter November 1, 2024, this dataset will no longer be updated due to a transition in NHSN Hospital Respiratory Data reporting that occurred on Friday, November 1, 2024. For more information on NHSN Hospital Respiratory Data reporting, please visit https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html.\n\nDue to a recent update in voluntary NHSN Hospital Respiratory Data reporting that occurred on Wednesday, October 9, 2024, reporting levels and other data displayed on this page may fluctuate week-over-week beginning Friday, October 18, 2024. For more information on NHSN Hospital Respiratory Data reporting, please visit https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html.  Find more information about the updated CMS requirements: https://www.federalregister.gov/documents/2024/08/28/2024-17021/medicare-and-medicaid-programs-and-the-childrens-health-insurance-program-hospital-inpatient.\u202f  \n.\nThis dataset represents weekly respiratory virus-related hospitalization data and metrics aggregated to national and state/territory levels reported during two periods: 1) data for collection dates from August 1, 2020 to April 30, 2024, represent data reported by hospitals during a mandated reporting period as specified by the HHS Secretary; and 2) data for collection dates beginning May 1, 2024, represent data reported voluntarily by hospitals to CDC’s National Healthcare Safety Network (NHSN). NHSN monitors national and local trends in healthcare system stress and capacity for up to approximately 6,000 hospitals in the United States. Data reported represent aggregated counts and include metrics capturing information specific to COVID-19- and influenza-related hospitalizations, hospital occupancy, and hospital capacity. Find more information about reporting to NHSN at: https://www.cdc.gov/nhsn/covid19/hospital-reporting.html\n\n<b>Source: COVID-19 hospitalization data reported to CDC’s National Healthcare Safety Network (NHSN).</b>\n<ul><li><b>Data source description(updated October 18, 2024):</b> As of October 9, 2024, Hospital Respiratory Data (HRD; formerly Respiratory Pathogen, Hospital Capacity, and Supply data or ‘COVID-19 hospital data’) are reported to HHS through CDC’s National Healthcare Safety Network based on updated requirements from the Centers for Medicare and Medicaid Services (CMS). These data are voluntarily reported to NHSN as of May 1, 2024 until November 1, 2024, at which time CMS will require acute care and critical access hospitals to electronically report information via NHSN about COVID-19, Influenza, and RSV, hospital bed census and capacity, and limited patient demographic information, including age. Data for collection dates prior to May 1, 2024, represent data reported during a previously mandated reporting period as specified by the HHS Secretary. Data for collection dates May 1, 2024, and onwards represent data reported voluntarily to NHSN; as such, data included represents reporting hospitals only for a given week and might not be complete or representative of all hospitals. NHSN monitors national and local trends in healthcare system stress and capacity for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN represent aggregated counts and include metrics capturing information specific to hospital capacity, occupancy, hospitalizations, and admissions. Find more information about reporting to NHSN: https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html. Find more information about the updated CMS requirements: https://www.federalregister.gov/documents/2024/08/28/2024-17021/medicare-and-medicaid-programs-and-the-childrens-health-insurance-program-hospital-inpatient.</li><li><b>Data quality:</b> While CDC reviews reported data for completeness and errors and corrects those found, some reporting errors might still exist within the data. CDC and partners work with reporters to correct these errors and update the data in subsequent weeks', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/Weekly-United-States-Hospitalization-Metrics-by-Ju/ype6-idgy'}"
"Weekly United States Hospitalization Metrics by Jurisdiction, During Mandatory Reporting Period from August 1, 2020 to April 30, 2024, and for Data Reported Voluntarily Beginning May 1, 2024, National Healthcare Safety Network (NHSN) - ARCHIVED",aemt-mg7g,aemt-mg7g_1736710905.294275_Weekly_United_States_Hospitalization_Metrics_by_Jurisdiction__During_Mandatory_Reporting_Period_from_August_1__2020_to_April_30__2024__and_for_Data_Reported_Voluntarily_Beginning_May_1__2024__National_Healthcare_Safety_N.csv.gz,2025-01-12 19:41:45 UTC,https://data.cdc.gov/Public-Health-Surveillance/Weekly-United-States-Hospitalization-Metrics-by-Ju/aemt-mg7g,"<b>Note:</b> 
After November 1, 2024, this dataset will no longer be updated due to a transition in NHSN Hospital Respiratory Data reporting that occurred on Friday, November 1, 2024. For more information on NHSN Hospital Respiratory Data reporting, please visit https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html.

Due to a recent update in voluntary NHSN Hospital Respiratory Data reporting that occurred on Wednesday, October 9, 2024, reporting levels and other data displayed on this page may fluctuate week-over-week beginning Friday, October 18, 2024. For more information on NHSN Hospital Respiratory Data reporting, please visit https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html.  Find more information about the updated CMS requirements: https://www.federalregister.gov/documents/2024/08/28/2024-17021/medicare-and-medicaid-programs-and-the-childrens-health-insurance-program-hospital-inpatient.   

This dataset represents weekly respiratory virus-related hospitalization data and metrics aggregated to national and state/territory levels reported during two periods: 1) data for collection dates from August 1, 2020 to April 30, 2024, represent data reported by hospitals during a mandated reporting period as specified by the HHS Secretary; and 2) data for collection dates beginning May 1, 2024, represent data reported voluntarily by hospitals to CDC’s National Healthcare Safety Network (NHSN). NHSN monitors national and local trends in healthcare system stress and capacity for up to approximately 6,000 hospitals in the United States. Data reported represent aggregated counts and include metrics capturing information specific to COVID-19- and influenza-related hospitalizations, hospital occupancy, and hospital capacity. Find more information about reporting to NHSN at: https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html.

<b>Source: COVID-19 hospitalization data reported to CDC’s National Healthcare Safety Network (NHSN).</b>
<ul><li><b>Data source description (updated October 18, 2024):</b> As of October 9, 2024, Hospital Respiratory Data (HRD; formerly Respiratory Pathogen, Hospital Capacity, and Supply data or ‘COVID-19 hospital data’) are reported to HHS through CDC’s National Healthcare Safety Network based on updated requirements from the Centers for Medicare and Medicaid Services (CMS). These data are voluntarily reported to NHSN as of May 1, 2024 until November 1, 2024, at which time CMS will require acute care and critical access hospitals to electronically report information via NHSN about COVID-19, Influenza, and RSV, hospital bed census and capacity, and limited patient demographic information, including age. Data for collection dates prior to May 1, 2024, represent data reported during a previously mandated reporting period as specified by the HHS Secretary. Data for collection dates May 1, 2024, and onwards represent data reported voluntarily to NHSN; as such, data included represents reporting hospitals only for a given week and might not be complete or representative of all hospitals. NHSN monitors national and local trends in healthcare system stress and capacity for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN represent aggregated counts and include metrics capturing information specific to hospital capacity, occupancy, hospitalizations, and admissions. Find more information about reporting to NHSN: https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html. Find more information about the updated CMS requirements: https://www.federalregister.gov/documents/2024/08/28/2024-17021/medicare-and-medicaid-programs-and-the-childrens-health-insurance-program-hospital-inpatient.  </li><li><b>Data quality:</b> While CDC reviews reported data for completeness and errors and corrects those found, some reporting errors might still exist within the data. CDC and partners work with reporters to correct these errors and update the data in subse",,"{'name': 'Weekly United States Hospitalization Metrics by Jurisdiction, During Mandatory Reporting Period from August 1, 2020 to April 30, 2024, and for Data Reported Voluntarily Beginning May 1, 2024, National Healthcare Safety Network (NHSN) - ARCHIVED', 'id': 'aemt-mg7g', 'description': '<b>Note:</b> \nAfter November 1, 2024, this dataset will no longer be updated due to a transition in NHSN Hospital Respiratory Data reporting that occurred on Friday, November 1, 2024. For more information on NHSN Hospital Respiratory Data reporting, please visit https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html.\n\nDue to a recent update in voluntary NHSN Hospital Respiratory Data reporting that occurred on Wednesday, October 9, 2024, reporting levels and other data displayed on this page may fluctuate week-over-week beginning Friday, October 18, 2024. For more information on NHSN Hospital Respiratory Data reporting, please visit https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html.  Find more information about the updated CMS requirements: https://www.federalregister.gov/documents/2024/08/28/2024-17021/medicare-and-medicaid-programs-and-the-childrens-health-insurance-program-hospital-inpatient.\u202f  \n\nThis dataset represents weekly respiratory virus-related hospitalization data and metrics aggregated to national and state/territory levels reported during two periods: 1) data for collection dates from August 1, 2020 to April 30, 2024, represent data reported by hospitals during a mandated reporting period as specified by the HHS Secretary; and 2) data for collection dates beginning May 1, 2024, represent data reported voluntarily by hospitals to CDC’s National Healthcare Safety Network (NHSN). NHSN monitors national and local trends in healthcare system stress and capacity for up to approximately 6,000 hospitals in the United States. Data reported represent aggregated counts and include metrics capturing information specific to COVID-19- and influenza-related hospitalizations, hospital occupancy, and hospital capacity. Find more information about reporting to NHSN at:\u202fhttps://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html.\n\n<b>Source: COVID-19 hospitalization data reported to CDC’s National Healthcare Safety Network (NHSN).</b>\n<ul><li><b>Data source description (updated October 18, 2024):</b> As of October 9, 2024, Hospital Respiratory Data (HRD; formerly Respiratory Pathogen, Hospital Capacity, and Supply data or ‘COVID-19 hospital data’) are reported to HHS through CDC’s National Healthcare Safety Network based on updated requirements from the Centers for Medicare and Medicaid Services (CMS). These data are voluntarily reported to NHSN as of May 1, 2024 until November 1, 2024, at which time CMS will require acute care and critical access hospitals to electronically report information via NHSN about COVID-19, Influenza, and RSV, hospital bed census and capacity, and limited patient demographic information, including age. Data for collection dates prior to May 1, 2024, represent data reported during a previously mandated reporting period as specified by the HHS Secretary. Data for collection dates May 1, 2024, and onwards represent data reported voluntarily to NHSN; as such, data included represents reporting hospitals only for a given week and might not be complete or representative of all hospitals. NHSN monitors national and local trends in healthcare system stress and capacity for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN represent aggregated counts and include metrics capturing information specific to hospital capacity, occupancy, hospitalizations, and admissions. Find more information about reporting to NHSN: https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html. Find more information about the updated CMS requirements: https://www.federalregister.gov/documents/2024/08/28/2024-17021/medicare-and-medicaid-programs-and-the-childrens-health-insurance-program-hospital-inpatient.\u202f </li><li><b>Data quality:</b> While CDC reviews reported data for completeness and errors and corrects those found, some reporting errors might still exist within the data. CDC and partners work with reporters to correct these errors and update the data in subse', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/Weekly-United-States-Hospitalization-Metrics-by-Ju/aemt-mg7g'}"
"Weekly counts of deaths from all causes by jurisdiction,  2015-2019",9cpv-whbv,9cpv-whbv_1736737679.726842_Weekly_counts_of_deaths_from_all_causes_by_jurisdiction___2015-2019_20250113.csv.gz,2025-01-13 03:07:59 UTC,https://data.cdc.gov/NCHS/Weekly-counts-of-deaths-from-all-causes-by-jurisdi/9cpv-whbv,"This dataset includes the number of deaths from all causes by week in which the death occurred and by jurisdiction, from 2015 to 2019, United States and Puerto Rico.",,"{'name': 'Weekly counts of deaths from all causes by jurisdiction,  2015-2019', 'id': '9cpv-whbv', 'description': 'This dataset includes the number of deaths from all causes by week in which the death occurred and by jurisdiction, from 2015 to 2019, United States and Puerto Rico.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/NCHS/Weekly-counts-of-deaths-from-all-causes-by-jurisdi/9cpv-whbv'}"
YRBS State Tobacco Variables  2013 - v2,hp6w-4ap6,hp6w-4ap6_1736727474.064989_YRBS_State_Tobacco_Variables__2013_-_v2_20250113.csv.gz,2025-01-13 00:17:54 UTC,https://data.cdc.gov/dataset/YRBS-State-Tobacco-Variables-2013-v2/hp6w-4ap6,The Youth Risk Behavior Surveillance System (YRBSS) monitors six types of health-risk behaviors that contribute to the leading causes of death and disability among youth and adults. This file contains state-level results for 13 tobacco-use variables by sex and grade for 2013.,,"{'name': 'YRBS State Tobacco Variables  2013 - v2', 'id': 'hp6w-4ap6', 'description': 'The Youth Risk Behavior Surveillance System (YRBSS) monitors six types of health-risk behaviors that contribute to the leading causes of death and disability among youth and adults. This file contains state-level results for 13 tobacco-use variables by sex and grade for 2013.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/dataset/YRBS-State-Tobacco-Variables-2013-v2/hp6w-4ap6'}"
autism prevalence studies,9mw4-6adp,9mw4-6adp_1736711332.224268_autism_prevalence_studies_20250112.csv.gz,2025-01-12 19:48:52 UTC,https://data.cdc.gov/Public-Health-Surveillance/autism-prevalence-studies/9mw4-6adp,"This data table provides a collection of information from peer-reviewed autism prevalence studies. Information reported from each study includes the autism prevalence estimate and additional study characteristics (e.g., case ascertainment and criteria). A PubMed search was conducted to identify studies published at any time through September 2020 using the search terms: autism (title/abstract) OR autistic (title/abstract) AND prevalence (title/abstract). Data were abstracted and included if the study fulfilled the following criteria: 
•	The study was published in English; 
•	The study produced at least one autism prevalence estimate; and
•	The study was population-based (any age range) within a defined geographic area.",,"{'name': 'autism prevalence studies', 'id': '9mw4-6adp', 'description': 'This data table provides a collection of information from peer-reviewed autism prevalence studies. Information reported from each study includes the autism prevalence estimate and additional study characteristics (e.g., case ascertainment and criteria). A PubMed search was conducted to identify studies published at any time through September 2020 using the search terms: autism (title/abstract) OR autistic (title/abstract) AND prevalence (title/abstract). Data were abstracted and included if the study fulfilled the following criteria: \n•\tThe study was published in English; \n•\tThe study produced at least one autism prevalence estimate; and\n•\tThe study was population-based (any age range) within a defined geographic area.', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Public-Health-Surveillance/autism-prevalence-studies/9mw4-6adp'}"
county-level ASD prevalence estimates,7vg3-e5u2,7vg3-e5u2_1736728429.103841_county-level_ASD_prevalence_estimates_20250113.csv.gz,2025-01-13 00:33:49 UTC,https://data.cdc.gov/dataset/county-level-ASD-prevalence-estimates/7vg3-e5u2,"This table provides county-level prevalence for 2018 for seven US states using linked statewide health and education data. For full methods see:
Shaw KA, Williams S, Hughes MM, Warren Z, Bakian AV, Durkin MS, et al. Statewide county-level autism spectrum disorder prevalence estimates — seven U.S. states, 2018. Annals of Epidemiology. 2023 Jan 18; Available from: https://www.sciencedirect.com/science/article/pii/S1047279723000182","<https://data.cdc.gov/dataset/county-level-ASD-prevalence-estimates/7vg3-e5u2>; rel=""original"",
<http://web.archive.org/web/timemap/link/https://data.cdc.gov/dataset/county-level-ASD-prevalence-estimates/7vg3-e5u2>; rel=""self""; type=""application/link-format""; from=""Fri, 06 Oct 2023 10:00:46 GMT"",
<http://web.archive.org/web/https://data.cdc.gov/dataset/county-level-ASD-prevalence-estimates/7vg3-e5u2>; rel=""timegate"",
<http://web.archive.org/web/20231006100046/https://data.cdc.gov/dataset/county-level-ASD-prevalence-estimates/7vg3-e5u2>; rel=""first memento""; datetime=""Fri, 06 Oct 2023 10:00:46 GMT"",
<http://web.archive.org/web/20241126192356/https://data.cdc.gov/dataset/county-level-ASD-prevalence-estimates/7vg3-e5u2>; rel=""memento""; datetime=""Tue, 26 Nov 2024 19:23:56 GMT"",
<http://web.archive.org/web/20241201155550/https://data.cdc.gov/dataset/county-level-ASD-prevalence-estimates/7vg3-e5u2>; rel=""memento""; datetime=""Sun, 01 Dec 2024 15:55:50 GMT"",
<http://web.archive.org/web/20241204023317/https://data.cdc.gov/dataset/county-level-ASD-prevalence-estimates/7vg3-e5u2>; rel=""memento""; datetime=""Wed, 04 Dec 2024 02:33:17 GMT"",
<http://web.archive.org/web/20250201013608/https://data.cdc.gov/dataset/county-level-ASD-prevalence-estimates/7vg3-e5u2>; rel=""memento""; datetime=""Sat, 01 Feb 2025 01:36:08 GMT"",
<http://web.archive.org/web/20250201013846/https://data.cdc.gov/dataset/county-level-ASD-prevalence-estimates/7vg3-e5u2>; rel=""memento""; datetime=""Sat, 01 Feb 2025 01:38:46 GMT"",
<http://web.archive.org/web/20250201211535/https://data.cdc.gov/dataset/county-level-ASD-prevalence-estimates/7vg3-e5u2>; rel=""memento""; datetime=""Sat, 01 Feb 2025 21:15:35 GMT"",
<http://web.archive.org/web/20250202064931/https://data.cdc.gov/dataset/county-level-ASD-prevalence-estimates/7vg3-e5u2>; rel=""memento""; datetime=""Sun, 02 Feb 2025 06:49:31 GMT"",
<http://web.archive.org/web/20250203101408/https://data.cdc.gov/dataset/county-level-ASD-prevalence-estimates/7vg3-e5u2>; rel=""memento""; datetime=""Mon, 03 Feb 2025 10:14:08 GMT"",
<http://web.archive.org/web/20250205053218/https://data.cdc.gov/dataset/county-level-ASD-prevalence-estimates/7vg3-e5u2>; rel=""memento""; datetime=""Wed, 05 Feb 2025 05:32:18 GMT"",
<http://web.archive.org/web/20250209204533/https://data.cdc.gov/dataset/county-level-ASD-prevalence-estimates/7vg3-e5u2>; rel=""memento""; datetime=""Sun, 09 Feb 2025 20:45:33 GMT"",
<http://web.archive.org/web/20250209204536/https://data.cdc.gov/dataset/county-level-ASD-prevalence-estimates/7vg3-e5u2>; rel=""memento""; datetime=""Sun, 09 Feb 2025 20:45:36 GMT"",
<http://web.archive.org/web/20250209204538/https://data.cdc.gov/dataset/county-level-ASD-prevalence-estimates/7vg3-e5u2/>; rel=""memento""; datetime=""Sun, 09 Feb 2025 20:45:38 GMT""
","{'name': 'county-level ASD prevalence estimates', 'id': '7vg3-e5u2', 'description': 'This table provides county-level prevalence for 2018 for seven US states using linked statewide health and education data. For full methods see:\nShaw KA, Williams S, Hughes MM, Warren Z, Bakian AV, Durkin MS, et al. Statewide county-level autism spectrum disorder prevalence estimates — seven U.S. states, 2018. Annals of Epidemiology. 2023 Jan 18; Available from: https://www.sciencedirect.com/science/article/pii/S1047279723000182', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/dataset/county-level-ASD-prevalence-estimates/7vg3-e5u2'}"
dataset_for_databricks_demo,6nue-dx9c,6nue-dx9c_1736739105.564953_dataset_for_databricks_demo_20250113.csv.gz,2025-01-13 03:31:45 UTC,https://data.cdc.gov/dataset/dataset_for_databricks_demo/6nue-dx9c,,,"{'name': 'dataset_for_databricks_demo', 'id': '6nue-dx9c', 'description': '', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/dataset/dataset_for_databricks_demo/6nue-dx9c'}"
dhds_dataset,24xb-jxbc,24xb-jxbc_1736739565.417933_dhds_dataset_20250113.csv.gz,2025-01-13 03:39:25 UTC,https://data.cdc.gov/dataset/dhds_dataset/24xb-jxbc,,"<https://data.cdc.gov/dataset/dhds_dataset/24xb-jxbc>; rel=""original"",
<http://web.archive.org/web/timemap/link/https://data.cdc.gov/dataset/dhds_dataset/24xb-jxbc>; rel=""self""; type=""application/link-format""; from=""Sat, 30 Nov 2024 17:19:35 GMT"",
<http://web.archive.org/web/https://data.cdc.gov/dataset/dhds_dataset/24xb-jxbc>; rel=""timegate"",
<http://web.archive.org/web/20241130171935/https://data.cdc.gov/dataset/dhds_dataset/24xb-jxbc>; rel=""first memento""; datetime=""Sat, 30 Nov 2024 17:19:35 GMT"",
<http://web.archive.org/web/20250201013103/https://data.cdc.gov/dataset/dhds_dataset/24xb-jxbc>; rel=""memento""; datetime=""Sat, 01 Feb 2025 01:31:03 GMT"",
<http://web.archive.org/web/20250201220004/https://data.cdc.gov/dataset/dhds_dataset/24xb-jxbc>; rel=""memento""; datetime=""Sat, 01 Feb 2025 22:00:04 GMT"",
<http://web.archive.org/web/20250201224512/https://data.cdc.gov/dataset/dhds_dataset/24xb-jxbc>; rel=""memento""; datetime=""Sat, 01 Feb 2025 22:45:12 GMT"",
<http://web.archive.org/web/20250202090951/https://data.cdc.gov/dataset/dhds_dataset/24xb-jxbc>; rel=""memento""; datetime=""Sun, 02 Feb 2025 09:09:51 GMT"",
<http://web.archive.org/web/20250205165131/https://data.cdc.gov/dataset/dhds_dataset/24xb-jxbc>; rel=""memento""; datetime=""Wed, 05 Feb 2025 16:51:31 GMT"",
<http://web.archive.org/web/20250211223516/https://data.cdc.gov/dataset/dhds_dataset/24xb-jxbc/>; rel=""memento""; datetime=""Tue, 11 Feb 2025 22:35:16 GMT"",
<http://web.archive.org/web/20250211223533/https://data.cdc.gov/dataset/dhds_dataset/24xb-jxbc>; rel=""memento""; datetime=""Tue, 11 Feb 2025 22:35:33 GMT"",
<http://web.archive.org/web/20250211223537/https://data.cdc.gov/dataset/dhds_dataset/24xb-jxbc>; rel=""memento""; datetime=""Tue, 11 Feb 2025 22:35:37 GMT""
","{'name': 'dhds_dataset', 'id': '24xb-jxbc', 'description': '', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/dataset/dhds_dataset/24xb-jxbc'}"
dhds_dataset,2nf2-f75n,2nf2-f75n_1736738872.056691_dhds_dataset_20250113.csv.gz,2025-01-13 03:27:52 UTC,https://data.cdc.gov/Web-Metrics/dhds_dataset/2nf2-f75n,This is a dataset manually created by Spiro Tsipianitis via data.cdc.gov,,"{'name': 'dhds_dataset', 'id': '2nf2-f75n', 'description': 'This is a dataset manually created by Spiro Tsipianitis via data.cdc.gov', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/Web-Metrics/dhds_dataset/2nf2-f75n'}"
dhds_dataset,3nnj-6kcn,3nnj-6kcn_1736739661.575567_dhds_dataset_20250113.csv.gz,2025-01-13 03:41:01 UTC,https://data.cdc.gov/dataset/dhds_dataset/3nnj-6kcn,,,"{'name': 'dhds_dataset', 'id': '3nnj-6kcn', 'description': '', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/dataset/dhds_dataset/3nnj-6kcn'}"
dhds_dataset,6qm2-fbrx,6qm2-fbrx_1736739551.954383_dhds_dataset_20250113.csv.gz,2025-01-13 03:39:11 UTC,https://data.cdc.gov/dataset/dhds_dataset/6qm2-fbrx,,,"{'name': 'dhds_dataset', 'id': '6qm2-fbrx', 'description': '', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/dataset/dhds_dataset/6qm2-fbrx'}"
dhds_dataset,783t-9j9i,783t-9j9i_1736739647.969512_dhds_dataset_20250113.csv.gz,2025-01-13 03:40:47 UTC,https://data.cdc.gov/dataset/dhds_dataset/783t-9j9i,,,"{'name': 'dhds_dataset', 'id': '783t-9j9i', 'description': '', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/dataset/dhds_dataset/783t-9j9i'}"
dhds_dataset,8zbb-qqwc,8zbb-qqwc_1736739620.760392_dhds_dataset_20250113.csv.gz,2025-01-13 03:40:20 UTC,https://data.cdc.gov/dataset/dhds_dataset/8zbb-qqwc,,,"{'name': 'dhds_dataset', 'id': '8zbb-qqwc', 'description': '', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/dataset/dhds_dataset/8zbb-qqwc'}"
dhds_dataset,9vgf-r2z6,9vgf-r2z6_1736739674.896407_dhds_dataset_20250113.csv.gz,2025-01-13 03:41:14 UTC,https://data.cdc.gov/dataset/dhds_dataset/9vgf-r2z6,,,"{'name': 'dhds_dataset', 'id': '9vgf-r2z6', 'description': '', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/dataset/dhds_dataset/9vgf-r2z6'}"
dhds_dataset,bdyv-z46f,bdyv-z46f_1736739483.885363_dhds_dataset_20250113.csv.gz,2025-01-13 03:38:03 UTC,https://data.cdc.gov/dataset/dhds_dataset/bdyv-z46f,,,"{'name': 'dhds_dataset', 'id': 'bdyv-z46f', 'description': '', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/dataset/dhds_dataset/bdyv-z46f'}"
dhds_dataset,bkcm-ybyk,bkcm-ybyk_1736739497.393059_dhds_dataset_20250113.csv.gz,2025-01-13 03:38:17 UTC,https://data.cdc.gov/dataset/dhds_dataset/bkcm-ybyk,,,"{'name': 'dhds_dataset', 'id': 'bkcm-ybyk', 'description': '', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/dataset/dhds_dataset/bkcm-ybyk'}"
dhds_dataset,bx8m-di6q,bx8m-di6q_1736739375.879762_dhds_dataset_20250113.csv.gz,2025-01-13 03:36:15 UTC,https://data.cdc.gov/dataset/dhds_dataset/bx8m-di6q,,,"{'name': 'dhds_dataset', 'id': 'bx8m-di6q', 'description': '', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/dataset/dhds_dataset/bx8m-di6q'}"
dhds_dataset,bz96-hgr8,bz96-hgr8_1736739443.305164_dhds_dataset_20250113.csv.gz,2025-01-13 03:37:23 UTC,https://data.cdc.gov/dataset/dhds_dataset/bz96-hgr8,,,"{'name': 'dhds_dataset', 'id': 'bz96-hgr8', 'description': '', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/dataset/dhds_dataset/bz96-hgr8'}"
dhds_dataset,h3my-dzpj,h3my-dzpj_1736739348.921948_dhds_dataset_20250113.csv.gz,2025-01-13 03:35:48 UTC,https://data.cdc.gov/dataset/dhds_dataset/h3my-dzpj,,,"{'name': 'dhds_dataset', 'id': 'h3my-dzpj', 'description': '', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/dataset/dhds_dataset/h3my-dzpj'}"
dhds_dataset,htq2-rqve,htq2-rqve_1736739702.216268_dhds_dataset_20250113.csv.gz,2025-01-13 03:41:42 UTC,https://data.cdc.gov/dataset/dhds_dataset/htq2-rqve,,,"{'name': 'dhds_dataset', 'id': 'htq2-rqve', 'description': '', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/dataset/dhds_dataset/htq2-rqve'}"
dhds_dataset,jbmi-9jqv,jbmi-9jqv_1736739759.048922_dhds_dataset_20250113.csv.gz,2025-01-13 03:42:39 UTC,https://data.cdc.gov/dataset/dhds_dataset/jbmi-9jqv,,,"{'name': 'dhds_dataset', 'id': 'jbmi-9jqv', 'description': '', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/dataset/dhds_dataset/jbmi-9jqv'}"
dhds_dataset,jbxj-8pnr,jbxj-8pnr_1736739537.990510_dhds_dataset_20250113.csv.gz,2025-01-13 03:38:57 UTC,https://data.cdc.gov/dataset/dhds_dataset/jbxj-8pnr,,,"{'name': 'dhds_dataset', 'id': 'jbxj-8pnr', 'description': '', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/dataset/dhds_dataset/jbxj-8pnr'}"
dhds_dataset,n2x4-haas,n2x4-haas_1736739416.393643_dhds_dataset_20250113.csv.gz,2025-01-13 03:36:56 UTC,https://data.cdc.gov/dataset/dhds_dataset/n2x4-haas,,"<https://data.cdc.gov/dataset/dhds_dataset/n2x4-haas>; rel=""original"",
<http://web.archive.org/web/timemap/link/https://data.cdc.gov/dataset/dhds_dataset/n2x4-haas>; rel=""self""; type=""application/link-format""; from=""Sat, 30 Nov 2024 17:19:28 GMT"",
<http://web.archive.org/web/https://data.cdc.gov/dataset/dhds_dataset/n2x4-haas>; rel=""timegate"",
<http://web.archive.org/web/20241130171928/https://data.cdc.gov/dataset/dhds_dataset/n2x4-haas>; rel=""first memento""; datetime=""Sat, 30 Nov 2024 17:19:28 GMT"",
<http://web.archive.org/web/20250117211211/https://data.cdc.gov/dataset/dhds_dataset/n2x4-haas>; rel=""memento""; datetime=""Fri, 17 Jan 2025 21:12:11 GMT"",
<http://web.archive.org/web/20250201012828/https://data.cdc.gov/dataset/dhds_dataset/n2x4-haas>; rel=""memento""; datetime=""Sat, 01 Feb 2025 01:28:28 GMT"",
<http://web.archive.org/web/20250201205120/https://data.cdc.gov/dataset/dhds_dataset/n2x4-haas>; rel=""memento""; datetime=""Sat, 01 Feb 2025 20:51:20 GMT"",
<http://web.archive.org/web/20250202085157/https://data.cdc.gov/dataset/dhds_dataset/n2x4-haas>; rel=""memento""; datetime=""Sun, 02 Feb 2025 08:51:57 GMT"",
<http://web.archive.org/web/20250202112032/https://data.cdc.gov/dataset/dhds_dataset/n2x4-haas>; rel=""memento""; datetime=""Sun, 02 Feb 2025 11:20:32 GMT"",
<http://web.archive.org/web/20250202213821/https://data.cdc.gov/dataset/dhds_dataset/n2x4-haas>; rel=""memento""; datetime=""Sun, 02 Feb 2025 21:38:21 GMT"",
<http://web.archive.org/web/20250206200258/https://data.cdc.gov/dataset/dhds_dataset/n2x4-haas>; rel=""memento""; datetime=""Thu, 06 Feb 2025 20:02:58 GMT"",
<http://web.archive.org/web/20250206200302/https://data.cdc.gov/dataset/dhds_dataset/n2x4-haas/>; rel=""memento""; datetime=""Thu, 06 Feb 2025 20:03:02 GMT"",
<http://web.archive.org/web/20250206200340/https://data.cdc.gov/dataset/dhds_dataset/n2x4-haas>; rel=""memento""; datetime=""Thu, 06 Feb 2025 20:03:40 GMT""
","{'name': 'dhds_dataset', 'id': 'n2x4-haas', 'description': '', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/dataset/dhds_dataset/n2x4-haas'}"
dhds_dataset,n5b3-jati,n5b3-jati_1736739592.428321_dhds_dataset_20250113.csv.gz,2025-01-13 03:39:52 UTC,https://data.cdc.gov/dataset/dhds_dataset/n5b3-jati,,,"{'name': 'dhds_dataset', 'id': 'n5b3-jati', 'description': '', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/dataset/dhds_dataset/n5b3-jati'}"
dhds_dataset,pd5g-36s6,pd5g-36s6_1736739729.155674_dhds_dataset_20250113.csv.gz,2025-01-13 03:42:09 UTC,https://data.cdc.gov/dataset/dhds_dataset/pd5g-36s6,,,"{'name': 'dhds_dataset', 'id': 'pd5g-36s6', 'description': '', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/dataset/dhds_dataset/pd5g-36s6'}"
dhds_dataset,r85e-hjic,r85e-hjic_1736739470.413269_dhds_dataset_20250113.csv.gz,2025-01-13 03:37:50 UTC,https://data.cdc.gov/dataset/dhds_dataset/r85e-hjic,,,"{'name': 'dhds_dataset', 'id': 'r85e-hjic', 'description': '', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/dataset/dhds_dataset/r85e-hjic'}"
dhds_dataset,rw4v-h7j9,rw4v-h7j9_1736739510.990866_dhds_dataset_20250113.csv.gz,2025-01-13 03:38:30 UTC,https://data.cdc.gov/dataset/dhds_dataset/rw4v-h7j9,,,"{'name': 'dhds_dataset', 'id': 'rw4v-h7j9', 'description': '', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/dataset/dhds_dataset/rw4v-h7j9'}"
dhds_dataset,tczv-qfsi,tczv-qfsi_1736739524.561212_dhds_dataset_20250113.csv.gz,2025-01-13 03:38:44 UTC,https://data.cdc.gov/dataset/dhds_dataset/tczv-qfsi,,,"{'name': 'dhds_dataset', 'id': 'tczv-qfsi', 'description': '', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/dataset/dhds_dataset/tczv-qfsi'}"
dhds_dataset,u22r-ndns,u22r-ndns_1736739456.934452_dhds_dataset_20250113.csv.gz,2025-01-13 03:37:36 UTC,https://data.cdc.gov/dataset/dhds_dataset/u22r-ndns,,,"{'name': 'dhds_dataset', 'id': 'u22r-ndns', 'description': '', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/dataset/dhds_dataset/u22r-ndns'}"
dhds_dataset,ugzv-zzdr,ugzv-zzdr_1736739688.702181_dhds_dataset_20250113.csv.gz,2025-01-13 03:41:28 UTC,https://data.cdc.gov/dataset/dhds_dataset/ugzv-zzdr,,,"{'name': 'dhds_dataset', 'id': 'ugzv-zzdr', 'description': '', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/dataset/dhds_dataset/ugzv-zzdr'}"
dhds_dataset,vfmq-diru,vfmq-diru_1736739745.542824_dhds_dataset_20250113.csv.gz,2025-01-13 03:42:25 UTC,https://data.cdc.gov/dataset/dhds_dataset/vfmq-diru,,,"{'name': 'dhds_dataset', 'id': 'vfmq-diru', 'description': '', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/dataset/dhds_dataset/vfmq-diru'}"
dhds_dataset,x4dz-rafm,x4dz-rafm_1736739429.837362_dhds_dataset_20250113.csv.gz,2025-01-13 03:37:09 UTC,https://data.cdc.gov/dataset/dhds_dataset/x4dz-rafm,,"<https://data.cdc.gov/dataset/dhds_dataset/x4dz-rafm>; rel=""original"",
<http://web.archive.org/web/timemap/link/https://data.cdc.gov/dataset/dhds_dataset/x4dz-rafm>; rel=""self""; type=""application/link-format""; from=""Sat, 30 Nov 2024 17:19:37 GMT"",
<http://web.archive.org/web/https://data.cdc.gov/dataset/dhds_dataset/x4dz-rafm>; rel=""timegate"",
<http://web.archive.org/web/20241130171937/https://data.cdc.gov/dataset/dhds_dataset/x4dz-rafm>; rel=""first memento""; datetime=""Sat, 30 Nov 2024 17:19:37 GMT"",
<http://web.archive.org/web/20250201024034/https://data.cdc.gov/dataset/dhds_dataset/x4dz-rafm>; rel=""memento""; datetime=""Sat, 01 Feb 2025 02:40:34 GMT"",
<http://web.archive.org/web/20250201215733/https://data.cdc.gov/dataset/dhds_dataset/x4dz-rafm>; rel=""memento""; datetime=""Sat, 01 Feb 2025 21:57:33 GMT"",
<http://web.archive.org/web/20250202181638/https://data.cdc.gov/dataset/dhds_dataset/x4dz-rafm>; rel=""memento""; datetime=""Sun, 02 Feb 2025 18:16:38 GMT"",
<http://web.archive.org/web/20250205010116/https://data.cdc.gov/dataset/dhds_dataset/x4dz-rafm>; rel=""memento""; datetime=""Wed, 05 Feb 2025 01:01:16 GMT"",
<http://web.archive.org/web/20250207144153/https://data.cdc.gov/dataset/dhds_dataset/x4dz-rafm>; rel=""memento""; datetime=""Fri, 07 Feb 2025 14:41:53 GMT"",
<http://web.archive.org/web/20250211194353/https://data.cdc.gov/dataset/dhds_dataset/x4dz-rafm/>; rel=""memento""; datetime=""Tue, 11 Feb 2025 19:43:53 GMT"",
<http://web.archive.org/web/20250211194409/https://data.cdc.gov/dataset/dhds_dataset/x4dz-rafm>; rel=""memento""; datetime=""Tue, 11 Feb 2025 19:44:09 GMT"",
<http://web.archive.org/web/20250211194416/https://data.cdc.gov/dataset/dhds_dataset/x4dz-rafm>; rel=""memento""; datetime=""Tue, 11 Feb 2025 19:44:16 GMT""
","{'name': 'dhds_dataset', 'id': 'x4dz-rafm', 'description': '', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/dataset/dhds_dataset/x4dz-rafm'}"
dhds_dataset,xf9s-d895,xf9s-d895_1736739715.647124_dhds_dataset_20250113.csv.gz,2025-01-13 03:41:55 UTC,https://data.cdc.gov/dataset/dhds_dataset/xf9s-d895,,,"{'name': 'dhds_dataset', 'id': 'xf9s-d895', 'description': '', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/dataset/dhds_dataset/xf9s-d895'}"
dhds_dataset,y52v-k5rz,y52v-k5rz_1736739579.005154_dhds_dataset_20250113.csv.gz,2025-01-13 03:39:39 UTC,https://data.cdc.gov/dataset/dhds_dataset/y52v-k5rz,,,"{'name': 'dhds_dataset', 'id': 'y52v-k5rz', 'description': '', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/dataset/dhds_dataset/y52v-k5rz'}"
edav-demo-dataset-api,gb67-x49c,gb67-x49c_1736738750.873836_edav-demo-dataset-api_20250113.csv.gz,2025-01-13 03:25:50 UTC,https://data.cdc.gov/dataset/edav-demo-dataset-api/gb67-x49c,,,"{'name': 'edav-demo-dataset-api', 'id': 'gb67-x49c', 'description': '', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/dataset/edav-demo-dataset-api/gb67-x49c'}"
testing_cte_aspost,qzjj-q36s,qzjj-q36s_1736738563.240827_testing_cte_aspost_20250113.csv.gz,2025-01-13 03:22:43 UTC,https://data.cdc.gov/dataset/testing_cte_aspost/qzjj-q36s,not for public use,,"{'name': 'testing_cte_aspost', 'id': 'qzjj-q36s', 'description': 'not for public use', 'datatype': 'tabular', 'keywords': ['socrata'], 'domain': 'data.cdc.gov', 'homepage': 'https://data.cdc.gov/dataset/testing_cte_aspost/qzjj-q36s'}"