100+ datasets found
  1. d

    COVID-19 Cases and Deaths by Age Group - ARCHIVE

    • catalog.data.gov
    • data.ct.gov
    • +1more
    Updated Aug 12, 2023
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    data.ct.gov (2023). COVID-19 Cases and Deaths by Age Group - ARCHIVE [Dataset]. https://catalog.data.gov/dataset/covid-19-cases-and-deaths-by-age-group
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    Dataset updated
    Aug 12, 2023
    Dataset provided by
    data.ct.gov
    Description

    Note: DPH is updating and streamlining the COVID-19 cases, deaths, and testing data. As of 6/27/2022, the data will be published in four tables instead of twelve. The COVID-19 Cases, Deaths, and Tests by Day dataset contains cases and test data by date of sample submission. The death data are by date of death. This dataset is updated daily and contains information back to the beginning of the pandemic. The data can be found at https://data.ct.gov/Health-and-Human-Services/COVID-19-Cases-Deaths-and-Tests-by-Day/g9vi-2ahj. The COVID-19 State Metrics dataset contains over 93 columns of data. This dataset is updated daily and currently contains information starting June 21, 2022 to the present. The data can be found at https://data.ct.gov/Health-and-Human-Services/COVID-19-State-Level-Data/qmgw-5kp6 . The COVID-19 County Metrics dataset contains 25 columns of data. This dataset is updated daily and currently contains information starting June 16, 2022 to the present. The data can be found at https://data.ct.gov/Health-and-Human-Services/COVID-19-County-Level-Data/ujiq-dy22 . The COVID-19 Town Metrics dataset contains 16 columns of data. This dataset is updated daily and currently contains information starting June 16, 2022 to the present. The data can be found at https://data.ct.gov/Health-and-Human-Services/COVID-19-Town-Level-Data/icxw-cada . To protect confidentiality, if a town has fewer than 5 cases or positive NAAT tests over the past 7 days, those data will be suppressed. COVID-19 cases and associated deaths that have been reported among Connecticut residents, broken out by age group. All data in this report are preliminary; data for previous dates will be updated as new reports are received and data errors are corrected. Deaths reported to the either the Office of the Chief Medical Examiner (OCME) or Department of Public Health (DPH) are included in the daily COVID-19 update. Data are reported daily, with timestamps indicated in the daily briefings posted at: portal.ct.gov/coronavirus. Data are subject to future revision as reporting changes. Starting in July 2020, this dataset will be updated every weekday. Additional notes: A delay in the data pull schedule occurred on 06/23/2020. Data from 06/22/2020 was processed on 06/23/2020 at 3:30 PM. The normal data cycle resumed with the data for 06/23/2020. A network outage on 05/19/2020 resulted in a change in the data pull schedule. Data from 5/19/2020 was processed on 05/20/2020 at 12:00 PM. Data from 5/20/2020 was processed on 5/20/2020 8:30 PM. The normal data cycle resumed on 05/20/2020 with the 8:30 PM data pull. As a result of the network outage, the timestamp on the datasets on the Open Data Portal differ from the timestamp in DPH's daily PDF reports. Starting 5/10/2021, the date field will represent the date this data was updated on data.ct.gov. Previously the date the data was pulled by DPH was listed, which typically coincided with the date before the data was published on data.ct.gov. This change was made to standardize the COVID-19 data sets on data.ct.gov.

  2. COVID-19 deaths reported in the U.S. as of June 14, 2023, by age

    • statista.com
    + more versions
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    Statista, COVID-19 deaths reported in the U.S. as of June 14, 2023, by age [Dataset]. https://www.statista.com/statistics/1191568/reported-deaths-from-covid-by-age-us/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 1, 2020 - Jun 14, 2023
    Area covered
    United States
    Description

    Between the beginning of January 2020 and June 14, 2023, of the 1,134,641 deaths caused by COVID-19 in the United States, around 307,169 had occurred among those aged 85 years and older. This statistic shows the number of coronavirus disease 2019 (COVID-19) deaths in the U.S. from January 2020 to June 2023, by age.

  3. Share of U.S. COVID-19 cases resulting in death from Feb. 12 to Mar. 16, by...

    • statista.com
    Updated Aug 28, 2020
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    Statista (2020). Share of U.S. COVID-19 cases resulting in death from Feb. 12 to Mar. 16, by age [Dataset]. https://www.statista.com/statistics/1105431/covid-case-fatality-rates-us-by-age-group/
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    Dataset updated
    Aug 28, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 12, 2020 - Mar 16, 2020
    Area covered
    United States
    Description

    Among COVID-19 patients in the United States from February 12 to March 16, 2020, estimated case-fatality rates were highest for adults aged 85 years and older. Younger people appeared to have milder symptoms, and there were no deaths reported among persons aged 19 years and under.

    Tracking the virus in the United States The outbreak of a previously unknown viral pneumonia was first reported in China toward the end of December 2019. The first U.S. case of COVID-19 was recorded in mid-January 2020, confirmed in a patient who had returned to the United States from China. The virus quickly started to spread, and the first community-acquired case was confirmed one month later in California. Overall, there had been approximately 4.5 million coronavirus cases in the country by the start of August 2020.

    U.S. health care system stretched California, Florida, and Texas are among the states with the most coronavirus cases. Even the best-resourced hospitals in the United States have struggled to cope with the crisis, and certain areas of the country were dealt further blows by new waves of infections in July 2020. Attention is rightly focused on fighting the pandemic, but as health workers are redirected to care for COVID-19 patients, the United States must not lose sight of other important health care issues.

  4. Single year of age and average age of death of people whose death was due to...

    • ons.gov.uk
    xlsx
    Updated Aug 23, 2023
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    Office for National Statistics (2023). Single year of age and average age of death of people whose death was due to or involved coronavirus (COVID-19) [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/datasets/singleyearofageandaverageageofdeathofpeoplewhosedeathwasduetoorinvolvedcovid19
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    xlsxAvailable download formats
    Dataset updated
    Aug 23, 2023
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Provisional deaths registration data for single year of age and average age of death (median and mean) of persons whose death involved coronavirus (COVID-19), England and Wales. Includes deaths due to COVID-19 and breakdowns by sex.

  5. AH Provisional COVID-19 Deaths by Week and Age

    • catalog.data.gov
    • data.virginia.gov
    • +3more
    Updated Apr 23, 2025
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    Centers for Disease Control and Prevention (2025). AH Provisional COVID-19 Deaths by Week and Age [Dataset]. https://catalog.data.gov/dataset/ah-provisional-covid-19-deaths-by-week-and-age-58e8f
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    Dataset updated
    Apr 23, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    Deaths involving coronavirus disease 2019 (COVID-19) reported to NCHS by jurisdiction of occurrence, week, and age group.

  6. D

    Archive: COVID-19 Vaccination and Case Trends by Age Group, United States

    • data.cdc.gov
    • healthdata.gov
    • +2more
    csv, xlsx, xml
    Updated Oct 14, 2022
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    IISInfo (2022). Archive: COVID-19 Vaccination and Case Trends by Age Group, United States [Dataset]. https://data.cdc.gov/Vaccinations/Archive-COVID-19-Vaccination-and-Case-Trends-by-Ag/gxj9-t96f
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    xlsx, xml, csvAvailable download formats
    Dataset updated
    Oct 14, 2022
    Dataset authored and provided by
    IISInfo
    License

    https://www.usa.gov/government-workshttps://www.usa.gov/government-works

    Description

    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.

    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.

  7. Age comparison of COVID-19 fatality rate South Korea 2023

    • statista.com
    Updated Apr 15, 2024
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    Statista (2024). Age comparison of COVID-19 fatality rate South Korea 2023 [Dataset]. https://www.statista.com/statistics/1105088/south-korea-coronavirus-mortality-rate-by-age/
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    Dataset updated
    Apr 15, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 28, 2023
    Area covered
    South Korea
    Description

    As of August 28, 2023, the fatality rate of novel coronavirus (COVID-19) in South Korea stood at around 1.7 percent among people aged 80 year and older. This made them the most vulnerable age group, followed by people in their seventies. After the first wave lasted till April and the second wave in August 2020, Korea faced a fourth wave fueled by the delta and omicron variants in 2022.

    For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

  8. VDH-COVID-19-PublicUseDataset-Cases_By-Age-Group - RETIRED Dataset

    • data.virginia.gov
    • opendata.winchesterva.gov
    csv
    Updated Nov 19, 2025
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    Virginia Department of Health (2025). VDH-COVID-19-PublicUseDataset-Cases_By-Age-Group - RETIRED Dataset [Dataset]. https://data.virginia.gov/dataset/vdh-covid-19-publicusedataset-cases-by-age-group
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    csv(153067)Available download formats
    Dataset updated
    Nov 19, 2025
    Dataset authored and provided by
    Virginia Department of Healthhttps://www.vdh.virginia.gov/
    Description

    As of 09/24/24, this dataset is being retired and will no longer be updated.

    On 10/1/2021, VDH adjusted the Vaccine Age Group categories to better serve the response's needs. This resulted in a decrease in cases, hospitalizations, and deaths among the 16-17 Year age group and an addition of cases, hospitalizations, and deaths to the 18-24 Years age group.

    This dataset includes the cumulative (total) number of COVID-19 cases, hospitalizations, and deaths for each health district in Virginia by report date and by age group. This dataset was first published on March 29, 2020. The data set increases in size daily and as a result, the dataset may take longer to update; however, it is expected to be available by 12:00 noon. When you download the data set, the dates will be sorted in ascending order, meaning that the earliest date will be at the top. To see data for the most recent date, please scroll down to the bottom of the data set. The Virginia Department of Health’s Thomas Jefferson Health District (TJHD) will be renamed to Blue Ridge Health District (BRHD), effective January 2021. More information about this change can be found here: https://www.vdh.virginia.gov/blue-ridge/name-change/

  9. d

    COVID-19 Vaccinations by Age Group - ARCHIVED

    • catalog.data.gov
    • data.ct.gov
    Updated Jul 12, 2025
    + more versions
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    data.ct.gov (2025). COVID-19 Vaccinations by Age Group - ARCHIVED [Dataset]. https://catalog.data.gov/dataset/covid-19-vaccinations-by-age-group
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    Dataset updated
    Jul 12, 2025
    Dataset provided by
    data.ct.gov
    Description

    NOTE: As of 2/16/2023, this table is no longer being updated. For data on COVID-19 Updated (Bivalent) Booster Coverage by Age go to https://data.ct.gov/Health-and-Human-Services/COVID-19-Updated-Bivalent-Booster-Coverage-By-Age-/j2me-7k56. For information on COVID-19 vaccination primary series coverage for people less than 5 years go to https://data.ct.gov/Health-and-Human-Services/COVID-19-Vaccination-Primary-Series-Coverage-Age-L/su9q-qn6e Important change as of June 1, 2022 As of June 1, 2022, we will be using 2020 DPH provisional census estimates* to calculate vaccine coverage percentages for state- and county-level tables (except coverage by CT SVI priority zip code). 2020 estimates will replace the 2019 estimates that have been used. Caution should be taken when making comparisons of percentages calculated using the 2019 and 2020 census estimates since observed difference may result from the shift in the denominator. The age groups in the state-level data tables will also be changing as a result of the switch to the new denominator. DPH Provisional State and County Characteristics Estimates April 1, 2020. Hayes L, Abdellatif E, Jiang Y, Backus K (2022) Connecticut DPH Provisional April 1, 2020 State Population Estimates by 18 age groups, sex, and 6 combined race and ethnicity groups. Connecticut Department of Public Health, Health Statistics & Surveillance, SAR, Hartford, CT. This tables shows the number and percent of people that have initiated COVID-19 vaccination, are fully vaccinated, and addition dose 1 by age group. Age is based on age at the time of administration of the first dose. All data in this report are preliminary; data for previous dates will be updated as new reports are received, and data errors are corrected. Population size estimates are based on 2019 DPH census estimates until 5/26/2022. From 6/1/2022, 2020 DPH provisional census estimates are used. In the data shown here, a person who has received at least one dose of COVID-19 vaccine is considered to have initiated vaccination. A person is considered fully vaccinated if he/she has completed a primary vaccination series by receiving 2 doses of the Pfizer, Novavax or Moderna vaccines or 1 dose of the Johnson & Johnson vaccine. The fully vaccinated are a subset of the people who have received at least one dose. A person who completed a Pfizer, Moderna, Novavax or Johnson & Johnson primary series (as defined above) and then had an additional monovalent dose of COVID-19 vaccine is considered to have had additional dose 1. The additional dose may be Pfizer, Moderna, Novavax or Johnson & Johnson and may be a different type from the primary series. For people who had a primary Pfizer or Moderna series, additional dose 1 was counted starting August 18th, 2021. For people with a Johnson & Johnson primary series additional dose 1 was counted starting October 22nd, 2021. For most people, additional dose 1 is a booster. However, additional dose 1 may represent a supplement to the primary series for a people who is moderately or severely immunosuppressed. Bivalent booster administrations are not included in the additional dose 1 calculations. The percent with at least one dose many be over-estimated, and the percent fully vaccinated and with additional dose 1 may be under-estimated because of vaccine administration records for individuals that cannot be linked because of differences in how names or date of birth are reported. Town-level coverage estimates have been capped at 100%. Observed coverage may be greater than 100% for multiple reasons, including census denominator data not including all individuals that currently reside in the town (e.g., part time residents, change in population size since the census), errors in address data or other reporting errors. Also, the percent with at least one dose many be over-estimated, and the percent fully

  10. d

    Death cases by region, age, and gender- COVID-19 severe complications-...

    • data.gov.tw
    csv, json
    Updated Jul 11, 2025
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    Centers for Disease Control (2025). Death cases by region, age, and gender- COVID-19 severe complications- Statistics by date of onset (in months) [Dataset]. https://data.gov.tw/en/datasets/173764
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    json, csvAvailable download formats
    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Centers for Disease Control
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    From August 2024, statistics on confirmed cases of death from severe COVID-19 will be provided, including statistics on confirmed diseases, onset time, region, age group, and gender. This dataset is updated once daily based on a fixed system schedule, presenting statistics up to the previous day.

  11. COVID-19 Weekly Cases and Deaths by Age, Race/Ethnicity, and Sex - ARCHIVED

    • healthdata.gov
    • data.virginia.gov
    • +1more
    csv, xlsx, xml
    Updated Dec 24, 2022
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    data.cdc.gov (2022). COVID-19 Weekly Cases and Deaths by Age, Race/Ethnicity, and Sex - ARCHIVED [Dataset]. https://healthdata.gov/CDC/COVID-19-Weekly-Cases-and-Deaths-by-Age-Race-Ethni/gpce-gn87
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    xml, xlsx, csvAvailable download formats
    Dataset updated
    Dec 24, 2022
    Dataset provided by
    data.cdc.gov
    Description

    Note: 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 (https://covid.cdc.gov/covid-data-tracker/#demographicsovertime).

  12. Monthly COVID-19 Death Rates per 100,000 Population by Age Group, Race and...

    • catalog.data.gov
    • data.virginia.gov
    • +4more
    Updated Sep 17, 2025
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    Centers for Disease Control and Prevention (2025). Monthly COVID-19 Death Rates per 100,000 Population by Age Group, Race and Ethnicity, Sex, and Region with Double Stratification [Dataset]. https://catalog.data.gov/dataset/monthly-covid-19-death-rates-per-100000-population-by-age-group-race-and-ethnicity-sex-and-98960
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    Dataset updated
    Sep 17, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    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

  13. D

    Provisional COVID-19 Deaths by Sex and Age

    • data.cdc.gov
    • datahub.hhs.gov
    • +4more
    csv, xlsx, xml
    Updated Sep 27, 2023
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    NCHS/DVS (2023). Provisional COVID-19 Deaths by Sex and Age [Dataset]. https://data.cdc.gov/widgets/9bhg-hcku
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    xlsx, xml, csvAvailable download formats
    Dataset updated
    Sep 27, 2023
    Dataset authored and provided by
    NCHS/DVS
    License

    https://www.usa.gov/government-workshttps://www.usa.gov/government-works

    Description

    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.

  14. New York State Statewide COVID-19 Fatalities by Age Group (Archived)

    • health.data.ny.gov
    • healthdata.gov
    csv, xlsx, xml
    Updated Oct 6, 2023
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    New York State Department of Health (2023). New York State Statewide COVID-19 Fatalities by Age Group (Archived) [Dataset]. https://health.data.ny.gov/Health/New-York-State-Statewide-COVID-19-Fatalities-by-Ag/du97-svf7
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    xml, csv, xlsxAvailable download formats
    Dataset updated
    Oct 6, 2023
    Dataset authored and provided by
    New York State Department of Health
    Area covered
    New York
    Description

    Note: Data elements were retired from HERDS on 10/6/23 and this dataset was archived.

    This dataset includes the cumulative number and percent of healthcare facility-reported fatalities for patients with lab-confirmed COVID-19 disease by reporting date and age group. This dataset does not include fatalities related to COVID-19 disease that did not occur at a hospital, nursing home, or adult care facility. The primary goal of publishing this dataset is to provide users with information about healthcare facility fatalities among patients with lab-confirmed COVID-19 disease.

    The information in this dataset is also updated daily on the NYS COVID-19 Tracker at https://www.ny.gov/covid-19tracker.

    The data source for this dataset is the daily COVID-19 survey through the New York State Department of Health (NYSDOH) Health Electronic Response Data System (HERDS). Hospitals, nursing homes, and adult care facilities are required to complete this survey daily. The information from the survey is used for statewide surveillance, planning, resource allocation, and emergency response activities. Hospitals began reporting for the HERDS COVID-19 survey in March 2020, while Nursing Homes and Adult Care Facilities began reporting in April 2020. It is important to note that fatalities related to COVID-19 disease that occurred prior to the first publication dates are also included.

    The fatality numbers in this dataset are calculated by assigning age groups to each patient based on the patient age, then summing the patient fatalities within each age group, as of each reporting date. The statewide total fatality numbers are calculated by summing the number of fatalities across all age groups, by reporting date. The fatality percentages are calculated by dividing the number of fatalities in each age group by the statewide total number of fatalities, by reporting date. The fatality numbers represent the cumulative number of fatalities that have been reported as of each reporting date.

  15. COVID-19 Dataset

    • kaggle.com
    zip
    Updated Nov 13, 2022
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    Meir Nizri (2022). COVID-19 Dataset [Dataset]. https://www.kaggle.com/datasets/meirnizri/covid19-dataset
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    zip(4890659 bytes)Available download formats
    Dataset updated
    Nov 13, 2022
    Authors
    Meir Nizri
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context

    Coronavirus disease (COVID-19) is an infectious disease caused by a newly discovered coronavirus. Most people infected with COVID-19 virus will experience mild to moderate respiratory illness and recover without requiring special treatment. Older people, and those with underlying medical problems like cardiovascular disease, diabetes, chronic respiratory disease, and cancer are more likely to develop serious illness. During the entire course of the pandemic, one of the main problems that healthcare providers have faced is the shortage of medical resources and a proper plan to efficiently distribute them. In these tough times, being able to predict what kind of resource an individual might require at the time of being tested positive or even before that will be of immense help to the authorities as they would be able to procure and arrange for the resources necessary to save the life of that patient.

    The main goal of this project is to build a machine learning model that, given a Covid-19 patient's current symptom, status, and medical history, will predict whether the patient is in high risk or not.

    content

    The dataset was provided by the Mexican government (link). This dataset contains an enormous number of anonymized patient-related information including pre-conditions. The raw dataset consists of 21 unique features and 1,048,576 unique patients. In the Boolean features, 1 means "yes" and 2 means "no". values as 97 and 99 are missing data.

    • sex: 1 for female and 2 for male.
    • age: of the patient.
    • classification: covid test findings. Values 1-3 mean that the patient was diagnosed with covid in different degrees. 4 or higher means that the patient is not a carrier of covid or that the test is inconclusive.
    • patient type: type of care the patient received in the unit. 1 for returned home and 2 for hospitalization.
    • pneumonia: whether the patient already have air sacs inflammation or not.
    • pregnancy: whether the patient is pregnant or not.
    • diabetes: whether the patient has diabetes or not.
    • copd: Indicates whether the patient has Chronic obstructive pulmonary disease or not.
    • asthma: whether the patient has asthma or not.
    • inmsupr: whether the patient is immunosuppressed or not.
    • hypertension: whether the patient has hypertension or not.
    • cardiovascular: whether the patient has heart or blood vessels related disease.
    • renal chronic: whether the patient has chronic renal disease or not.
    • other disease: whether the patient has other disease or not.
    • obesity: whether the patient is obese or not.
    • tobacco: whether the patient is a tobacco user.
    • usmr: Indicates whether the patient treated medical units of the first, second or third level.
    • medical unit: type of institution of the National Health System that provided the care.
    • intubed: whether the patient was connected to the ventilator.
    • icu: Indicates whether the patient had been admitted to an Intensive Care Unit.
    • date died: If the patient died indicate the date of death, and 9999-99-99 otherwise.
  16. Rates of COVID-19 Cases or Deaths by Age Group and Vaccination Status

    • data.virginia.gov
    • healthdata.gov
    • +1more
    csv, json, rdf, xsl
    Updated Jul 20, 2023
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    Centers for Disease Control and Prevention (2023). Rates of COVID-19 Cases or Deaths by Age Group and Vaccination Status [Dataset]. https://data.virginia.gov/dataset/rates-of-covid-19-cases-or-deaths-by-age-group-and-vaccination-status
    Explore at:
    xsl, csv, rdf, jsonAvailable download formats
    Dataset updated
    Jul 20, 2023
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    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

  17. a

    COVID CASES BY AGE

    • hub.arcgis.com
    Updated Oct 7, 2020
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    City of Philadelphia (2020). COVID CASES BY AGE [Dataset]. https://hub.arcgis.com/datasets/9e39fba6e3fa464696a22bedb0ca5cfc
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    Dataset updated
    Oct 7, 2020
    Dataset authored and provided by
    City of Philadelphia
    Area covered
    Description

    View metadata for key information about this dataset. This data is for public consumption. To protect the confidentiality of residents, PDPH suppresses the exact data for any categories that have fewer than 6 counts (i.e. of tests or fatalities). For greatest accuracy, please use the latest dataset for all analysis and reporting as opposed to any data you downloaded prior to September 29, 2020. All datasets now reflect counts from test collection dates instead of the previously displayed result dates. PDPH has also added 376 confirmed COVID-19 cases (positive tests) that were previously missing from the data. See also the following related datasets:COVID Cases by DateCOVID Cases by OutcomeCOVID Cases by RaceCOVID Cases by SexCOVID Cases by ZIPFor questions about this dataset, contact publichealthinfo@phila.gov. For technical assistance, email maps@phila.gov.

  18. New York State Statewide COVID-19 Testing by Age Group (Archived)

    • health.data.ny.gov
    • healthdata.gov
    csv, xlsx, xml
    Updated Apr 3, 2025
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    New York State Department of Health (2025). New York State Statewide COVID-19 Testing by Age Group (Archived) [Dataset]. https://health.data.ny.gov/Health/New-York-State-Statewide-COVID-19-Testing-by-Age-G/m5zn-wsib
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    xml, xlsx, csvAvailable download formats
    Dataset updated
    Apr 3, 2025
    Dataset authored and provided by
    New York State Department of Health
    Area covered
    New York
    Description

    Note: Effective 3/31/25, this dataset is no longer being updated.

    This dataset includes information on all positive tests of individuals for COVID-19 infection performed in New York State beginning March 1, 2020, when the first case of COVID-19 was identified in the state. The primary goal of publishing this dataset is to provide users timely information about local disease spread and COVID-19 case rates by age group. The data will be updated weekly, reflecting tests reported by 12:00 AM three days prior to the date of the update.

    Total positives includes both PCR and antigen positive test results.

    Note: This is an updated version of the statewide cases by age dataset that includes all reported cases, both first infections and reinfections. An archived version of the prior dataset, which includes only first infections, is available: https://health.data.ny.gov/d/h8ay-wryy

  19. p

    COVID-19 Vaccinations by Age Group Current County Health

    • data.pa.gov
    csv, xlsx, xml
    Updated May 12, 2023
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    Department of Health (2023). COVID-19 Vaccinations by Age Group Current County Health [Dataset]. https://data.pa.gov/Covid-19/COVID-19-Vaccinations-by-Age-Group-Current-County-/niuh-2xe3
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    xlsx, xml, csvAvailable download formats
    Dataset updated
    May 12, 2023
    Dataset authored and provided by
    Department of Health
    License

    https://www.usa.gov/government-workshttps://www.usa.gov/government-works

    Description

    Weekly updates have finished. This dataset contains aggregate data by county for the age groups of individuals that received a COVID vaccination. Data includes counts of individuals who received a vaccine dose that provides partial coverage against the disease and counts of individuals that received a vaccine dose that provides full coverage against the disease. Age groups are presented in 5-year brackets. Suppression applies for quantities less than 5 and records under review.

    Data only includes information reported to PA-SIIS, the Pennsylvania Statewide Immunization Information System.

    Fully Vaccinated means that the person has received the necessary number of COVID-19 vaccines at the recommended time intervals.
    First Booster Doses (Administered Since August 13, 2021)
    First Booster doses administered since August 13, 2021 includes vaccinations beyond the primary series administered to the suggested groups at the recommended intervals on or after 08-13-2021 following CDC guidelines. Such vaccinations are commonly called booster doses. This category also includes additional does of COVID vaccine administered on or after 08-13-2021 to immunocompromised individual at the CDC recommended interval.

    Second Booster Doses (Administered Since March 29, 2022)
    Second booster doses administered since March 29, 2022 includes mRNA vaccinations beyond the primary series and one additional COVIDS vaccine as a second booster dose administered on or after 03-29-2022 to individuals ages 50+ at the recommended intervals per CDC guidelines. This category also includes additional doses of mRNA COVID vaccines administered on or after 03-29-2022 to immunocompromised individual at the CDC recommended internal.

  20. AH Provisional COVID-19 Deaths by HHS Region, Race, Age 65plus

    • data.virginia.gov
    • healthdata.gov
    • +2more
    csv, json, rdf, xsl
    Updated Apr 21, 2025
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    Centers for Disease Control and Prevention (2025). AH Provisional COVID-19 Deaths by HHS Region, Race, Age 65plus [Dataset]. https://data.virginia.gov/dataset/ah-provisional-covid-19-deaths-by-hhs-region-race-age-65plus
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    json, xsl, csv, rdfAvailable download formats
    Dataset updated
    Apr 21, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    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+).

    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.

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data.ct.gov (2023). COVID-19 Cases and Deaths by Age Group - ARCHIVE [Dataset]. https://catalog.data.gov/dataset/covid-19-cases-and-deaths-by-age-group

COVID-19 Cases and Deaths by Age Group - ARCHIVE

Explore at:
Dataset updated
Aug 12, 2023
Dataset provided by
data.ct.gov
Description

Note: DPH is updating and streamlining the COVID-19 cases, deaths, and testing data. As of 6/27/2022, the data will be published in four tables instead of twelve. The COVID-19 Cases, Deaths, and Tests by Day dataset contains cases and test data by date of sample submission. The death data are by date of death. This dataset is updated daily and contains information back to the beginning of the pandemic. The data can be found at https://data.ct.gov/Health-and-Human-Services/COVID-19-Cases-Deaths-and-Tests-by-Day/g9vi-2ahj. The COVID-19 State Metrics dataset contains over 93 columns of data. This dataset is updated daily and currently contains information starting June 21, 2022 to the present. The data can be found at https://data.ct.gov/Health-and-Human-Services/COVID-19-State-Level-Data/qmgw-5kp6 . The COVID-19 County Metrics dataset contains 25 columns of data. This dataset is updated daily and currently contains information starting June 16, 2022 to the present. The data can be found at https://data.ct.gov/Health-and-Human-Services/COVID-19-County-Level-Data/ujiq-dy22 . The COVID-19 Town Metrics dataset contains 16 columns of data. This dataset is updated daily and currently contains information starting June 16, 2022 to the present. The data can be found at https://data.ct.gov/Health-and-Human-Services/COVID-19-Town-Level-Data/icxw-cada . To protect confidentiality, if a town has fewer than 5 cases or positive NAAT tests over the past 7 days, those data will be suppressed. COVID-19 cases and associated deaths that have been reported among Connecticut residents, broken out by age group. All data in this report are preliminary; data for previous dates will be updated as new reports are received and data errors are corrected. Deaths reported to the either the Office of the Chief Medical Examiner (OCME) or Department of Public Health (DPH) are included in the daily COVID-19 update. Data are reported daily, with timestamps indicated in the daily briefings posted at: portal.ct.gov/coronavirus. Data are subject to future revision as reporting changes. Starting in July 2020, this dataset will be updated every weekday. Additional notes: A delay in the data pull schedule occurred on 06/23/2020. Data from 06/22/2020 was processed on 06/23/2020 at 3:30 PM. The normal data cycle resumed with the data for 06/23/2020. A network outage on 05/19/2020 resulted in a change in the data pull schedule. Data from 5/19/2020 was processed on 05/20/2020 at 12:00 PM. Data from 5/20/2020 was processed on 5/20/2020 8:30 PM. The normal data cycle resumed on 05/20/2020 with the 8:30 PM data pull. As a result of the network outage, the timestamp on the datasets on the Open Data Portal differ from the timestamp in DPH's daily PDF reports. Starting 5/10/2021, the date field will represent the date this data was updated on data.ct.gov. Previously the date the data was pulled by DPH was listed, which typically coincided with the date before the data was published on data.ct.gov. This change was made to standardize the COVID-19 data sets on data.ct.gov.

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