97 datasets found
  1. COVID-19 Post-Vaccination Infection Data (ARCHIVED)

    • data.chhs.ca.gov
    • data.ca.gov
    • +4more
    csv, xlsx, zip
    Updated Aug 30, 2024
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    California Department of Public Health (2024). COVID-19 Post-Vaccination Infection Data (ARCHIVED) [Dataset]. https://data.chhs.ca.gov/dataset/covid-19-post-vaccination-infection-data
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    zip, csv(78921), csv(38212), xlsx(11056), csv(90508)Available download formats
    Dataset updated
    Aug 30, 2024
    Dataset authored and provided by
    California Department of Public Healthhttps://www.cdph.ca.gov/
    Description

    Note: This dataset is no longer being updated due to the end of the COVID-19 Public Health Emergency.

    The California Department of Public Health (CDPH) is identifying vaccination status of COVID-19 cases, hospitalizations, and deaths by analyzing the state immunization registry and registry of confirmed COVID-19 cases. Post-vaccination cases are individuals who have a positive SARS-Cov-2 molecular test (e.g. PCR) at least 14 days after they have completed their primary vaccination series.

    Tracking cases of COVID-19 that occur after vaccination is important for monitoring the impact of immunization campaigns. While COVID-19 vaccines are safe and effective, some cases are still expected in persons who have been vaccinated, as no vaccine is 100% effective. For more information, please see https://www.cdph.ca.gov/Programs/CID/DCDC/Pages/COVID-19/Post-Vaccine-COVID19-Cases.aspx

    Post-vaccination infection data is updated monthly and includes data on cases, hospitalizations, and deaths among the unvaccinated and the vaccinated. Partially vaccinated individuals are excluded. To account for reporting and processing delays, there is at least a one-month lag in provided data (for example data published on 9/9/22 will include data through 7/31/22).

    Notes:

    • On September 9, 2022, the post-vaccination data has been changed to compare unvaccinated with those with at least a primary series completed for persons age 5+. These data will be updated monthly (first Thursday of the month) and include at least a one month lag.

    • On February 2, 2022, the post-vaccination data has been changed to distinguish between vaccination with a primary series only versus vaccinated and boosted. The previous dataset has been uploaded as an archived table. Additionally, the lag on this data has been extended to 14 days.

    • On November 29, 2021, the denominator for calculating vaccine coverage has been changed from age 16+ to age 12+ to reflect new vaccine eligibility criteria. The previous dataset based on age 16+ denominators has been uploaded as an archived table.

  2. COVID-19 Vaccine Progress Dashboard Data

    • data.chhs.ca.gov
    • data.ca.gov
    • +4more
    csv, xlsx, zip
    Updated Jun 8, 2025
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    California Department of Public Health (2025). COVID-19 Vaccine Progress Dashboard Data [Dataset]. https://data.chhs.ca.gov/dataset/vaccine-progress-dashboard
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    csv(110928434), csv(83128924), csv(2641927), csv(724860), csv(188895), csv(12877811), csv(54906), csv(82754), csv(18403068), csv(26828), csv(111682), xlsx(7708), csv(638738), csv(503270), csv(7777694), xlsx(11534), xlsx(11249), csv(303068812), csv(6772350), csv(2447143), csv(148732), zip, csv(675610), xlsx(11731), xlsx(11870)Available download formats
    Dataset updated
    Jun 8, 2025
    Dataset authored and provided by
    California Department of Public Healthhttps://www.cdph.ca.gov/
    Description

    Note: In these datasets, a person is defined as up to date if they have received at least one dose of an updated COVID-19 vaccine. The Centers for Disease Control and Prevention (CDC) recommends that certain groups, including adults ages 65 years and older, receive additional doses.

    On 6/16/2023 CDPH replaced the booster measures with a new “Up to Date” measure based on CDC’s new recommendations, replacing the primary series, boosted, and bivalent booster metrics The definition of “primary series complete” has not changed and is based on previous recommendations that CDC has since simplified. A person cannot complete their primary series with a single dose of an updated vaccine. Whereas the booster measures were calculated using the eligible population as the denominator, the new up to date measure uses the total estimated population. Please note that the rates for some groups may change since the up to date measure is calculated differently than the previous booster and bivalent measures.

    This data is from the same source as the Vaccine Progress Dashboard at https://covid19.ca.gov/vaccination-progress-data/ which summarizes vaccination data at the county level by county of residence. Where county of residence was not reported in a vaccination record, the county of provider that vaccinated the resident is included. This applies to less than 1% of vaccination records. The sum of county-level vaccinations does not equal statewide total vaccinations due to out-of-state residents vaccinated in California.

    These data do not include doses administered by the following federal agencies who received vaccine allocated directly from CDC: Indian Health Service, Veterans Health Administration, Department of Defense, and the Federal Bureau of Prisons.

    Totals for the Vaccine Progress Dashboard and this dataset may not match, as the Dashboard totals doses by Report Date and this dataset totals doses by Administration Date. Dose numbers may also change for a particular Administration Date as data is updated.

    Previous updates:

    • On March 3, 2023, with the release of HPI 3.0 in 2022, the previous equity scores have been updated to reflect more recent community survey information. This change represents an improvement to the way CDPH monitors health equity by using the latest and most accurate community data available. The HPI uses a collection of data sources and indicators to calculate a measure of community conditions ranging from the most to the least healthy based on economic, housing, and environmental measures.

    • Starting on July 13, 2022, the denominator for calculating vaccine coverage has been changed from age 5+ to all ages to reflect new vaccine eligibility criteria. Previously the denominator was changed from age 16+ to age 12+ on May 18, 2021, then changed from age 12+ to age 5+ on November 10, 2021, to reflect previous changes in vaccine eligibility criteria. The previous datasets based on age 16+ and age 5+ denominators have been uploaded as archived tables.

    • Starting on May 29, 2021 the methodology for calculating on-hand inventory in the shipped/delivered/on-hand dataset has changed. Please see the accompanying data dictionary for details. In addition, this dataset is now down to the ZIP code level.

  3. g

    COVID-19 Vaccinations by Age and Race-Ethnicity - Historical

    • gimi9.com
    • data.cityofchicago.org
    • +1more
    Updated Jun 30, 2022
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    (2022). COVID-19 Vaccinations by Age and Race-Ethnicity - Historical [Dataset]. https://gimi9.com/dataset/data-gov_covid-19-vaccinations-by-age-and-race-ethnicity
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    Dataset updated
    Jun 30, 2022
    Description

    NOTE: This dataset has been retired and marked as historical-only. The recommended dataset to use in its place is https://data.cityofchicago.org/Health-Human-Services/COVID-19-Vaccination-Coverage-Citywide/6859-spec. COVID-19 vaccinations administered to Chicago residents based on the reported race-ethnicity and age group of the person vaccinated, as provided by the medical provider in the Illinois Comprehensive Automated Immunization Registry Exchange (I-CARE). Vaccination Status Definitions: ·People with at least one vaccine dose: Number of people who have received at least one dose of any COVID-19 vaccine, including the single-dose Johnson & Johnson COVID-19 vaccine. ·People with a completed vaccine series: Number of people who have completed a primary COVID-19 vaccine series. Requirements vary depending on age and type of primary vaccine series received. ··People with an original booster dose: Number of people who have a completed vaccine series and have received at least one additional monovalent dose. This includes people who received a monovalent booster dose and immunocompromised people who received an additional primary dose of COVID-19 vaccine. Monovalent doses were created from the original strain of the virus that causes COVID-19. - People with a bivalent dose: Number of people who received a bivalent (updated) dose of vaccine. Updated, bivalent doses became available in Fall 2022 and were created with the original strain of COVID-19 and newer Omicron variant strains. Weekly cumulative totals by vaccination status are shown for each combination of race-ethnicity and age group. Note that each age group has a row where race-ethnicity is "All" so care should be taken when summing rows. Vaccinations are counted based on the date on which they were administered. Weekly cumulative totals are reported from the week ending Saturday, December 19, 2020 onward (after December 15, when vaccines were first administered in Chicago) through the Saturday prior to the dataset being updated. Population counts are from the U.S. Census Bureau American Community Survey (ACS) 2019 1-year estimates. For some of the age groups by which COVID-19 vaccine has been authorized in the United States, race-ethnicity distributions were specifically reported in the ACS estimates. For others, race-ethnicity distributions were estimated by the Chicago Department of Public Health (CDPH) by weighting the available race-ethnicity distributions, using proportions of constituent age groups. Coverage percentages are calculated based on the cumulative number of people in each population subgroup (age group by race-ethnicity) who have each vaccination status as of the date, divided by the estimated number of Chicago residents in each subgroup. Actual counts may exceed population estimates and lead to >100% coverage, especially in small race-ethnicity subgroups of each age group. All coverage percentages are capped at 99%. All data are provisional and subject to change. Information is updated as additional details are received and it is, in fact, very common for recent dates to be incomplete and to be updated as time goes on. At any given time, this dataset reflects data currently known to CDPH. Numbers in this dataset may differ from other public sources due to when data are reported and how City of Chicago boundaries are defined. CDPH uses the most complete data available to estimate COVID-19 vaccination coverage among Chicagoans, but there are several limitations that impact our estimates. Data reported in I-CARE only include doses administered in Illinois and some doses administered outside of Illinois reported historically by Illinois providers. Doses administered by the federal Bureau of Prisons and Department of Defense are also not currently reported in I-CARE. The Veterans Health Administration began reporting doses in I-CARE beginning September 2022. Due to people receiving vaccinations that are not recorded in I-CARE that c

  4. Deaths Involving COVID-19 by Vaccination Status

    • open.canada.ca
    • gimi9.com
    • +3more
    csv, docx, xlsx
    Updated Apr 30, 2025
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    Government of Ontario (2025). Deaths Involving COVID-19 by Vaccination Status [Dataset]. https://open.canada.ca/data/dataset/1375bb00-6454-4d3e-a723-4ae9e849d655
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    docx, csv, xlsxAvailable download formats
    Dataset updated
    Apr 30, 2025
    Dataset provided by
    Government of Ontariohttps://www.ontario.ca/
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Time period covered
    Mar 1, 2021 - Nov 12, 2024
    Description

    This dataset reports the daily reported number of the 7-day moving average rates of Deaths involving COVID-19 by vaccination status and by age group. Learn how the Government of Ontario is helping to keep Ontarians safe during the 2019 Novel Coronavirus outbreak. Effective November 14, 2024 this page will no longer be updated. Information about COVID-19 and other respiratory viruses is available on Public Health Ontario’s interactive respiratory virus tool: https://www.publichealthontario.ca/en/Data-and-Analysis/Infectious-Disease/Respiratory-Virus-Tool Data includes: * Date on which the death occurred * Age group * 7-day moving average of the last seven days of the death rate per 100,000 for those not fully vaccinated * 7-day moving average of the last seven days of the death rate per 100,000 for those fully vaccinated * 7-day moving average of the last seven days of the death rate per 100,000 for those vaccinated with at least one booster ##Additional notes As of June 16, all COVID-19 datasets will be updated weekly on Thursdays by 2pm. As of January 12, 2024, data from the date of January 1, 2024 onwards reflect updated population estimates. This update specifically impacts data for the 'not fully vaccinated' category. On November 30, 2023 the count of COVID-19 deaths was updated to include missing historical deaths from January 15, 2020 to March 31, 2023. CCM is a dynamic disease reporting system which allows ongoing update to data previously entered. As a result, data extracted from CCM represents a snapshot at the time of extraction and may differ from previous or subsequent results. Public Health Units continually clean up COVID-19 data, correcting for missing or overcounted cases and deaths. These corrections can result in data spikes and current totals being different from previously reported cases and deaths. Observed trends over time should be interpreted with caution for the most recent period due to reporting and/or data entry lags. The data does not include vaccination data for people who did not provide consent for vaccination records to be entered into the provincial COVaxON system. This includes individual records as well as records from some Indigenous communities where those communities have not consented to including vaccination information in COVaxON. “Not fully vaccinated” category includes people with no vaccine and one dose of double-dose vaccine. “People with one dose of double-dose vaccine” category has a small and constantly changing number. The combination will stabilize the results. Spikes, negative numbers and other data anomalies: Due to ongoing data entry and data quality assurance activities in Case and Contact Management system (CCM) file, Public Health Units continually clean up COVID-19, correcting for missing or overcounted cases and deaths. These corrections can result in data spikes, negative numbers and current totals being different from previously reported case and death counts. Public Health Units report cause of death in the CCM based on information available to them at the time of reporting and in accordance with definitions provided by Public Health Ontario. The medical certificate of death is the official record and the cause of death could be different. Deaths are defined per the outcome field in CCM marked as “Fatal”. Deaths in COVID-19 cases identified as unrelated to COVID-19 are not included in the Deaths involving COVID-19 reported. Rates for the most recent days are subject to reporting lags All data reflects totals from 8 p.m. the previous day. This dataset is subject to change.

  5. i

    COVID-19 Vaccination Demographics by County and District

    • hub.mph.in.gov
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    COVID-19 Vaccination Demographics by County and District [Dataset]. https://hub.mph.in.gov/dataset/covid-19-vaccinations-demographics-by-county-and-district
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    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Note: 11/1/2023: Publication of the COVID data will be delayed because of technical difficulties. Note: 9/20/2023: With the end of the federal emergency and reporting requirements continuing to evolve, the Indiana Department of Health will no longer publish and refresh the COVID-19 datasets after November 15, 2023 - one final dataset publication will continue to be available. Vaccination demographics data by county/region, by race, by ethnicity, by gender, and by age. Fields with less than 5 results have been marked as suppressed. Note: 3/22/2023: Due to a technical issue updates are delayed for COVID data. New files will be published as soon as they are available. Historical Changes: 1/5/2023: Due to a technical issue the COVID datasets were not updated on 1/4/23. Updates will be published as soon as they are available. 9/29/22: Due to a technical difficulty, the weekly COVID datasets were not generated yesterday. They will be updated with current data today - 9/29 - and may result in a temporary discrepancy with the numbers published on the dashboard until the normal weekly refresh resumes 10/5. 9/27/2022: As of 9/28, the Indiana Department of Health (IDOH) is moving to a weekly COVID update for the dashboard and all associated datasets to continue to provide trend data that is applicable and usable for our partners and the public. This is to maintain alignment across the nation as states move to weekly updates. 8/19/2022 - The first and second dose columns are being removed as of 8/22/22 as the Health department has transitioned to reporting on Fully/Partially vaccinated. The final historical file including these columns from 8/19 will continue to be available. 2/10/2022: Data was not published on 2/9/2022 due to a technical issue, but updated data was released 2/10/2022. 10/13/2021: This dataset now includes columns for new and total booster shots administered. Please see the data dictionary for additional details. 08/06/2021: There are updates today to county-level vaccination rates to reflect a correction to records that were assigned to the wrong location based on ZIP code. 06/23/2021: COVID Hub files will no longer be updated on Saturdays. The normal refresh of these files has been changed to Mon-Fri. 06/10/2021: COVID Hub files will no longer be updated on Sundays. The normal refresh of these files has been changed to Mon-Sat. 06/07/2021: Today’s new counts include doses newly reported to the Indiana Department of Health on Saturday and Sunday. 06/03/2021: Individuals are able to update their personal and demographic information during the vaccination registration process. Today’s data reflects changes made by individuals to their race, ethnicity, or county of residence over the course of their vaccination series. 05/13/2021: The 12-15 year-old age group has been added into the dataset as of today. 05/06/2021: On Monday 5/3, individuals classified as "Unknown" county of residence were inadvertently converted to "Out of State." These individuals have been corrected in today's dataset. 03/11/2021: This dataset has been updated to include totals and newly administered single dose vaccination data. Additionally the existing age groups have been further stratified into a 16-19 year old age group, and 5 year groups for 20-79 year olds.

  6. d

    COVID-19 Outcomes by Vaccination Status - Historical

    • datasets.ai
    • data.cityofchicago.org
    • +1more
    23, 40, 55, 8
    Updated Aug 6, 2024
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    City of Chicago (2024). COVID-19 Outcomes by Vaccination Status - Historical [Dataset]. https://datasets.ai/datasets/covid-19-outcomes-by-vaccination-status
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    55, 40, 8, 23Available download formats
    Dataset updated
    Aug 6, 2024
    Dataset authored and provided by
    City of Chicago
    Description

    NOTE: This dataset has been retired and marked as historical-only.

    Weekly rates of COVID-19 cases, hospitalizations, and deaths among people living in Chicago by vaccination status and age.

    Rates for fully vaccinated and unvaccinated begin the week ending April 3, 2021 when COVID-19 vaccines became widely available in Chicago. Rates for boosted begin the week ending October 23, 2021 after booster shots were recommended by the Centers for Disease Control and Prevention (CDC) for adults 65+ years old and adults in certain populations and high risk occupational and institutional settings who received Pfizer or Moderna for their primary series or anyone who received the Johnson & Johnson vaccine.

    Chicago residency is based on home address, as reported in the Illinois Comprehensive Automated Immunization Registry Exchange (I-CARE) and Illinois National Electronic Disease Surveillance System (I-NEDSS).

    Outcomes: • Cases: People with a positive molecular (PCR) or antigen COVID-19 test result from an FDA-authorized COVID-19 test that was reported into I-NEDSS. A person can become re-infected with SARS-CoV-2 over time and so may be counted more than once in this dataset. Cases are counted by week the test specimen was collected. • Hospitalizations: COVID-19 cases who are hospitalized due to a documented COVID-19 related illness or who are admitted for any reason within 14 days of a positive SARS-CoV-2 test. Hospitalizations are counted by week of hospital admission. • Deaths: COVID-19 cases who died from COVID-19-related health complications as determined by vital records or a public health investigation. Deaths are counted by week of death.

    Vaccination status: • Fully vaccinated: Completion of primary series of a U.S. Food and Drug Administration (FDA)-authorized or approved COVID-19 vaccine at least 14 days prior to a positive test (with no other positive tests in the previous 45 days). • Boosted: Fully vaccinated with an additional or booster dose of any FDA-authorized or approved COVID-19 vaccine received at least 14 days prior to a positive test (with no other positive tests in the previous 45 days). • Unvaccinated: No evidence of having received a dose of an FDA-authorized or approved vaccine prior to a positive test.

    CLARIFYING NOTE: Those who started but did not complete all recommended doses of an FDA-authorized or approved vaccine prior to a positive test (i.e., partially vaccinated) are excluded from this dataset.

    Incidence rates for fully vaccinated but not boosted people (Vaccinated columns) are calculated as total fully vaccinated but not boosted with outcome divided by cumulative fully vaccinated but not boosted at the end of each week. Incidence rates for boosted (Boosted columns) are calculated as total boosted with outcome divided by cumulative boosted at the end of each week. Incidence rates for unvaccinated (Unvaccinated columns) are calculated as total unvaccinated with outcome divided by total population minus cumulative boosted, fully, and partially vaccinated at the end of each week. All rates are multiplied by 100,000.

    Incidence rate ratios (IRRs) are calculated by dividing the weekly incidence rates among unvaccinated people by those among fully vaccinated but not boosted and boosted people.

    Overall age-adjusted incidence rates and IRRs are standardized using the 2000 U.S. Census standard population.

    Population totals are from U.S. Census Bureau American Community Survey 1-year estimates for 2019.

    All data are provisional and subject to change. Information is updated as additional details are received and it is, in fact, very common for recent dates to be incomplete and to be updated as time goes on. This dataset reflects data known to CDPH at the time when the dataset is updated each week.

    Numbers in this dataset may differ from other public sources due to when data are reported and how City of Chicago boundaries are defined.

    For all datasets related to COVID-19, see https://data.cityofchic

  7. d

    Updated 2023-2024 COVID-19 Vaccine Coverage By Age Group

    • catalog.data.gov
    • data.ct.gov
    • +1more
    Updated Mar 22, 2025
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    data.ct.gov (2025). Updated 2023-2024 COVID-19 Vaccine Coverage By Age Group [Dataset]. https://catalog.data.gov/dataset/updated-2023-2024-covid-19-vaccine-coverage-by-age-group
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    Dataset updated
    Mar 22, 2025
    Dataset provided by
    data.ct.gov
    Description

    This table will no longer be updated after 5/30/2024 given the end of the 2023-2024 viral respiratory vaccine season. This table shows the cumulative number and percentage of CT residents who have received an updated COVID-19 vaccine during the 2023-2024 viral respiratory season by age group (current age). CDC recommends that people get at least one dose of this vaccine to protect against serious illness, whether or not they have had a COVID-19 vaccination before. Children and people with moderate to severe immunosuppression might be recommended more than one dose. For more information on COVID-19 vaccination recommendations, click here. • Data are reported weekly on Thursday and include doses administered to Saturday of the previous week (Sunday – Saturday). All data in this report are preliminary. Data from the previous week may be changed because of delays in reporting, deduplication, or correction of errors. • These analyses are based on data reported to CT WiZ which is the immunization information system for CT. CT providers are required by law to report all doses of vaccine administered. CT WiZ also receives records on CT residents vaccinated in other jurisdictions and by federal entities which share data with CT Wiz electronically. Electronic data exchange is being added jurisdiction-by-jurisdiction. Currently, this includes Rhode Island and New York City but not Massachusetts and New York State. Therefore, doses administered to CT residents in neighboring towns in Massachusetts and New York State will not be included. A full list of the jurisdiction with which CT has established electronic data exchange can be seen at the bottom of this page (https://portal.ct.gov/immunization/Knowledge-Base/Articles/Vaccine-Providers/CT-WiZ-for-Vaccine-Providers-and-Training/Query-and-Response-functionality-in-CT-WiZ?language=en_US) • Population size estimates used to calculate cumulative percentages are based on 2020 DPH provisional census estimates*. • People are included if they have an active jurisdictional status in CT WiZ at the time weekly data are pulled. This excludes people who live out of state, are deceased and a small percentage who have opted out of CT WiZ. 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.

  8. 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
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    csv, rdf, json, xslAvailable 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

  9. Deaths by vaccination status, England

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Aug 25, 2023
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    Office for National Statistics (2023). Deaths by vaccination status, England [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/datasets/deathsbyvaccinationstatusengland
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    xlsxAvailable download formats
    Dataset updated
    Aug 25, 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

    Age-standardised mortality rates for deaths involving coronavirus (COVID-19), non-COVID-19 deaths and all deaths by vaccination status, broken down by age group.

  10. d

    COVID-19 Vaccinations by Race/Ethnicity - ARCHIVE

    • catalog.data.gov
    • data.ct.gov
    Updated Aug 12, 2023
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    data.ct.gov (2023). COVID-19 Vaccinations by Race/Ethnicity - ARCHIVE [Dataset]. https://catalog.data.gov/dataset/covid-19-vaccinations-by-race-ethnicity
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    Dataset updated
    Aug 12, 2023
    Dataset provided by
    data.ct.gov
    Description

    NOTE: After 10/20/2021, this dataset will no longer be updated and will be replaced by the new dataset: "COVID-19 Vaccinations by Race/Ethnicity" (https://data.ct.gov/Health-and-Human-Services/COVID-19-Vaccinations-by-Race-Ethnicity/4z97-pa4q). Percentage of people who initiated COVID-19 vaccination by race/ethnicity as reported by providers. Population estimates are based on 2019 CT population estimates. The 2019 CT population data which is the most recent year available. In this data, a person with reported Hispanic or Latino ethnicity is considered Hispanic regardless of reported race. The category Unknown includes unknown race and/or ethnicity. A vaccine coverage percentage cannot be calculated for people classified as NH Other race given a lack of census data for this group. Data quality assurance activities suggest that NH Other may represent a missing value. The estimated vaccine coverage percentages shown here may be underestimated for race/ethnicity groups because of missing data. All data in this report are preliminary; data for previous dates will be updated as new reports are received and data errors are corrected.

  11. COVID-19 Vaccination Demographics in the United States,National

    • healthdata.gov
    • data.virginia.gov
    • +3more
    application/rdfxml +5
    Updated May 27, 2021
    + more versions
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    data.cdc.gov (2021). COVID-19 Vaccination Demographics in the United States,National [Dataset]. https://healthdata.gov/dataset/COVID-19-Vaccination-Demographics-in-the-United-St/2zma-rd83
    Explore at:
    json, tsv, csv, application/rdfxml, application/rssxml, xmlAvailable download formats
    Dataset updated
    May 27, 2021
    Dataset provided by
    data.cdc.gov
    Area covered
    United States
    Description

    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.

  12. COVID Vaccination in World (updated daily)

    • kaggle.com
    zip
    Updated Jun 21, 2021
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    Rishav Sharma (2021). COVID Vaccination in World (updated daily) [Dataset]. https://www.kaggle.com/rsrishav/covid-vaccination-dataset
    Explore at:
    zip(544681 bytes)Available download formats
    Dataset updated
    Jun 21, 2021
    Authors
    Rishav Sharma
    License

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

    Area covered
    World
    Description

    Context

    The data is collected from OWID (Our World in Data) GitHub repository, which is updated on daily bases.

    Content

    This dataset contains only one file vaccinations.csv, which contains the records of vaccination doses received by people from all the countries. * location: name of the country (or region within a country). * iso_code: ISO 3166-1 alpha-3 – three-letter country codes. * date: date of the observation. * total_vaccinations: total number of doses administered. This is counted as a single dose, and may not equal the total number of people vaccinated, depending on the specific dose regime (e.g. people receive multiple doses). If a person receives one dose of the vaccine, this metric goes up by 1. If they receive a second dose, it goes up by 1 again. * total_vaccinations_per_hundred: total_vaccinations per 100 people in the total population of the country. * daily_vaccinations_raw: daily change in the total number of doses administered. It is only calculated for consecutive days. This is a raw measure provided for data checks and transparency, but we strongly recommend that any analysis on daily vaccination rates be conducted using daily_vaccinations instead. * daily_vaccinations: new doses administered per day (7-day smoothed). For countries that don't report data on a daily basis, we assume that doses changed equally on a daily basis over any periods in which no data was reported. This produces a complete series of daily figures, which is then averaged over a rolling 7-day window. An example of how we perform this calculation can be found here. * daily_vaccinations_per_million: daily_vaccinations per 1,000,000 people in the total population of the country. * people_vaccinated: total number of people who received at least one vaccine dose. If a person receives the first dose of a 2-dose vaccine, this metric goes up by 1. If they receive the second dose, the metric stays the same. * people_vaccinated_per_hundred: people_vaccinated per 100 people in the total population of the country. * people_fully_vaccinated: total number of people who received all doses prescribed by the vaccination protocol. If a person receives the first dose of a 2-dose vaccine, this metric stays the same. If they receive the second dose, the metric goes up by 1. * people_fully_vaccinated_per_hundred: people_fully_vaccinated per 100 people in the total population of the country.

    Note: for people_vaccinated and people_fully_vaccinated we are dependent on the necessary data being made available, so we may not be able to make these metrics available for some countries.

    Acknowledgements

    This data collected by Our World in Data which gets updated daily on their Github.

    Inspiration

    Possible uses for this dataset could include: - Sentiment analysis in a variety of forms - Statistical analysis over time .

  13. COVID vaccination vs. mortality

    • kaggle.com
    Updated Jul 1, 2022
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    Sina Karaji (2022). COVID vaccination vs. mortality [Dataset]. https://www.kaggle.com/sinakaraji/covid-vaccination-vs-death/discussion
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 1, 2022
    Dataset provided by
    Kaggle
    Authors
    Sina Karaji
    License

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

    Description

    Context

    The COVID-19 outbreak has brought the whole planet to its knees.More over 4.5 million people have died since the writing of this notebook, and the only acceptable way out of the disaster is to vaccinate all parts of society. Despite the fact that the benefits of vaccination have been proved to the world many times, anti-vaccine groups are springing up all over the world. This data set was generated to investigate the impact of coronavirus vaccinations on coronavirus mortality.

    Content

    countryiso_codedatetotal_vaccinationspeople_vaccinatedpeople_fully_vaccinatedNew_deathspopulationratio
    country nameiso code for each countrydate that this data belongnumber of all doses of COVID vaccine usage in that countrynumber of people who got at least one shot of COVID vaccinenumber of people who got full vaccine shotsnumber of daily new deaths2021 country population% of vaccinations in that country at that date = people_vaccinated/population * 100

    Data Collection

    This dataset is a combination of the following three datasets:

    1.https://www.kaggle.com/gpreda/covid-world-vaccination-progress

    2.https://covid19.who.int/WHO-COVID-19-global-data.csv

    3.https://www.kaggle.com/rsrishav/world-population

    you can find more detail about this dataset by reading this notebook:

    https://www.kaggle.com/sinakaraji/simple-linear-regression-covid-vaccination

    Countries in this dataset:

    AfghanistanAlbaniaAlgeriaAndorraAngola
    AnguillaAntigua and BarbudaArgentinaArmeniaAruba
    AustraliaAustriaAzerbaijanBahamasBahrain
    BangladeshBarbadosBelarusBelgiumBelize
    BeninBermudaBhutanBolivia (Plurinational State of)Brazil
    Bosnia and HerzegovinaBotswanaBrunei DarussalamBulgariaBurkina Faso
    CambodiaCameroonCanadaCabo VerdeCayman Islands
    Central African RepublicChadChileChinaColombia
    ComorosCook IslandsCosta RicaCroatiaCuba
    CuraçaoCyprusDenmarkDjiboutiDominica
    Dominican RepublicEcuadorEgyptEl SalvadorEquatorial Guinea
    EstoniaEthiopiaFalkland Islands (Malvinas)FijiFinland
    FranceFrench PolynesiaGabonGambiaGeorgia
    GermanyGhanaGibraltarGreeceGreenland
    GrenadaGuatemalaGuineaGuinea-BissauGuyana
    HaitiHondurasHungaryIcelandIndia
    IndonesiaIran (Islamic Republic of)IraqIrelandIsle of Man
    IsraelItalyJamaicaJapanJordan
    KazakhstanKenyaKiribatiKuwaitKyrgyzstan
    Lao People's Democratic RepublicLatviaLebanonLesothoLiberia
    LibyaLiechtensteinLithuaniaLuxembourgMadagascar
    MalawiMalaysiaMaldivesMaliMalta
    MauritaniaMauritiusMexicoRepublic of MoldovaMonaco
    MongoliaMontenegroMontserratMoroccoMozambique
    MyanmarNamibiaNauruNepalNetherlands
    New CaledoniaNew ZealandNicaraguaNigerNigeria
    NiueNorth MacedoniaNorwayOmanPakistan
    occupied Palestinian territory, including east Jerusalem
    PanamaPapua New GuineaParaguayPeruPhilippines
    PolandPortugalQatarRomaniaRussian Federation
    RwandaSaint Kitts and NevisSaint Lucia
    Saint Vincent and the GrenadinesSamoaSan MarinoSao Tome and PrincipeSaudi Arabia
    SenegalSerbiaSeychellesSierra LeoneSingapore
    SlovakiaSloveniaSolomon IslandsSomaliaSouth Africa
    Republic of KoreaSouth SudanSpainSri LankaSudan
    SurinameSwedenSwitzerlandSyrian Arab RepublicTajikistan
    United Republic of TanzaniaThailandTogoTongaTrinidad and Tobago
    TunisiaTurkeyTurkmenistanTurks and Caicos IslandsTuvalu
    UgandaUkraineUnited Arab EmiratesThe United KingdomUnited States of America
    UruguayUzbekistanVanuatuVenezuela (Bolivarian Republic of)Viet Nam
    Wallis and FutunaYemenZambiaZimbabwe
  14. C

    COVID-19 Vaccination Coverage, Citywide

    • data.cityofchicago.org
    application/rdfxml +5
    Updated Jun 4, 2025
    + more versions
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    City of Chicago (2025). COVID-19 Vaccination Coverage, Citywide [Dataset]. https://data.cityofchicago.org/Health-Human-Services/COVID-19-Vaccination-Coverage-Citywide/6859-spec
    Explore at:
    application/rssxml, json, xml, csv, application/rdfxml, tsvAvailable download formats
    Dataset updated
    Jun 4, 2025
    Dataset authored and provided by
    City of Chicago
    Description

    NOTE: This dataset replaces two previous ones. Please see below.

    Chicago residents who are up to date with COVID-19 vaccines, based on the reported address, race-ethnicity, sex, and age group of the person vaccinated, as provided by the medical provider in the Illinois Comprehensive Automated Immunization Registry Exchange (I-CARE).

    “Up to date” refers to individuals who meet the CDC’s updated COVID-19 vaccination criteria based on their age and prior vaccination history. For surveillance purposes, up to date is defined based on the following criteria:

    People ages 5 years and older: · Are up to date when they receive 1+ doses of a COVID-19 vaccine during the current season.

    Children ages 6 months to 4 years: · Children who have received at least two prior COVID-19 vaccine doses are up to date when they receive one additional dose of COVID-19 vaccine during the current season, regardless of vaccine product. · Children who have received only one prior COVID-19 vaccine dose are up to date when they receive one additional dose of the current season's Moderna COVID-19 vaccine or two additional doses of the current season's Pfizer-BioNTech COVID-19 vaccine. · Children who have never received a COVID-19 vaccination are up to date when they receive either two doses of the current season's Moderna vaccine or three doses of the current season's Pfizer-BioNTech vaccine.

    This dataset takes the place of two previous datasets, which cover doses administered from December 15, 2020 through September 13, 2023 and are marked has historical: - https://data.cityofchicago.org/Health-Human-Services/COVID-19-Daily-Vaccinations-Chicago-Residents/2vhs-cf6b - https://data.cityofchicago.org/Health-Human-Services/COVID-19-Vaccinations-by-Age-and-Race-Ethnicity/37ac-bbe3.

    Data Notes:

    Weekly cumulative totals of people up to date are shown for each combination of race-ethnicity, sex, and age group. Note that race-ethnicity, age, and sex all have an option for “All” so care should be taken when summing rows.

    Coverage percentages are calculated based on the cumulative number of people in each race-ethnicity/age/sex population subgroup who are considered up to date as of the week ending date divided by the estimated number of people in that subgroup. Population counts are obtained from the 2020 U.S. Decennial Census. Actual counts may exceed population estimates and lead to coverage estimates that are greater than 100%, especially in smaller demographic groupings with smaller populations. Additionally, the medical provider may report incorrect demographic information for the person receiving the vaccination, which may lead to over- or underestimation of vaccination coverage. All coverage percentages are capped at 99%.

    Weekly cumulative counts and coverage percentages are reported from the week ending Saturday, September 16, 2023 onward through the Saturday prior to the dataset being updated.

    All data are provisional and subject to change. Information is updated as additional details are received and it is, in fact, very common for recent dates to be incomplete and to be updated as time goes on. At any given time, this dataset reflects data currently known to CDPH.

    Numbers in this dataset may differ from other public sources due to when data are reported and how City of Chicago boundaries are defined.

    The Chicago Department of Public Health uses the most complete data available to estimate COVID-19 vaccination coverage among Chicagoans, but there are several limitations that impact our estimates. Individuals may receive vaccinations that are not recorded in the Illinois immunization registry, I-CARE, such as those administered in another state, causing underestimation of the number individuals who are up to date. Inconsistencies in records of separate doses administered to the same person, such as slight variations in dates of birth, can result in duplicate records for a person and underestimate the number of people who are up to date.

    For all datasets related to COVID-19, see https://data.cityofchicago.org/browse?limitTo=datasets&sortBy=alpha&tags=covid-19.

    Data Source: Illinois Comprehensive Automated Immunization Registry Exchange (I-CARE), U.S. Census Bureau 2020 Decennial Census

  15. A

    ‘COVID vaccination vs. mortality ’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Aug 4, 2020
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2020). ‘COVID vaccination vs. mortality ’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-covid-vaccination-vs-mortality-cbd8/06c8ccd2/?iid=010-492&v=presentation
    Explore at:
    Dataset updated
    Aug 4, 2020
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Analysis of ‘COVID vaccination vs. mortality ’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/sinakaraji/covid-vaccination-vs-death on 12 November 2021.

    --- Dataset description provided by original source is as follows ---

    Context

    The COVID-19 outbreak has brought the whole planet to its knees.More over 4.5 million people have died since the writing of this notebook, and the only acceptable way out of the disaster is to vaccinate all parts of society. Despite the fact that the benefits of vaccination have been proved to the world many times, anti-vaccine groups are springing up all over the world. This data set was generated to investigate the impact of coronavirus vaccinations on coronavirus mortality.

    Content

    countryiso_codedatetotal_vaccinationspeople_vaccinatedpeople_fully_vaccinatedNew_deathspopulationratio
    country nameiso code for each countrydate that this data belongnumber of all doses of COVID vaccine usage in that countrynumber of people who got at least one shot of COVID vaccinenumber of people who got full vaccine shotsnumber of daily new deaths2021 country population% of vaccinations in that country at that date = people_vaccinated/population * 100

    Data Collection

    This dataset is a combination of the following three datasets:

    1.https://www.kaggle.com/gpreda/covid-world-vaccination-progress

    2.https://covid19.who.int/WHO-COVID-19-global-data.csv

    3.https://www.kaggle.com/rsrishav/world-population

    you can find more detail about this dataset by reading this notebook:

    https://www.kaggle.com/sinakaraji/simple-linear-regression-covid-vaccination

    Countries in this dataset:

    AfghanistanAlbaniaAlgeriaAndorraAngola
    AnguillaAntigua and BarbudaArgentinaArmeniaAruba
    AustraliaAustriaAzerbaijanBahamasBahrain
    BangladeshBarbadosBelarusBelgiumBelize
    BeninBermudaBhutanBolivia (Plurinational State of)Brazil
    Bosnia and HerzegovinaBotswanaBrunei DarussalamBulgariaBurkina Faso
    CambodiaCameroonCanadaCabo VerdeCayman Islands
    Central African RepublicChadChileChinaColombia
    ComorosCook IslandsCosta RicaCroatiaCuba
    CuraçaoCyprusDenmarkDjiboutiDominica
    Dominican RepublicEcuadorEgyptEl SalvadorEquatorial Guinea
    EstoniaEthiopiaFalkland Islands (Malvinas)FijiFinland
    FranceFrench PolynesiaGabonGambiaGeorgia
    GermanyGhanaGibraltarGreeceGreenland
    GrenadaGuatemalaGuineaGuinea-BissauGuyana
    HaitiHondurasHungaryIcelandIndia
    IndonesiaIran (Islamic Republic of)IraqIrelandIsle of Man
    IsraelItalyJamaicaJapanJordan
    KazakhstanKenyaKiribatiKuwaitKyrgyzstan
    Lao People's Democratic RepublicLatviaLebanonLesothoLiberia
    LibyaLiechtensteinLithuaniaLuxembourgMadagascar
    MalawiMalaysiaMaldivesMaliMalta
    MauritaniaMauritiusMexicoRepublic of MoldovaMonaco
    MongoliaMontenegroMontserratMoroccoMozambique
    MyanmarNamibiaNauruNepalNetherlands
    New CaledoniaNew ZealandNicaraguaNigerNigeria
    NiueNorth MacedoniaNorwayOmanPakistan
    occupied Palestinian territory, including east Jerusalem
    PanamaPapua New GuineaParaguayPeruPhilippines
    PolandPortugalQatarRomaniaRussian Federation
    RwandaSaint Kitts and NevisSaint Lucia
    Saint Vincent and the GrenadinesSamoaSan MarinoSao Tome and PrincipeSaudi Arabia
    SenegalSerbiaSeychellesSierra LeoneSingapore
    SlovakiaSloveniaSolomon IslandsSomaliaSouth Africa
    Republic of KoreaSouth SudanSpainSri LankaSudan
    SurinameSwedenSwitzerlandSyrian Arab RepublicTajikistan
    United Republic of TanzaniaThailandTogoTongaTrinidad and Tobago
    TunisiaTurkeyTurkmenistanTurks and Caicos IslandsTuvalu
    UgandaUkraineUnited Arab EmiratesThe United KingdomUnited States of America
    UruguayUzbekistanVanuatuVenezuela (Bolivarian Republic of)Viet Nam
    Wallis and FutunaYemenZambiaZimbabwe

    --- Original source retains full ownership of the source dataset ---

  16. Coronavirus (COVID-19) In-depth Dataset

    • kaggle.com
    Updated May 29, 2021
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    Pranjal Verma (2021). Coronavirus (COVID-19) In-depth Dataset [Dataset]. https://www.kaggle.com/pranjalverma08/coronavirus-covid19-indepth-dataset/discussion
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 29, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Pranjal Verma
    License

    http://opendatacommons.org/licenses/dbcl/1.0/http://opendatacommons.org/licenses/dbcl/1.0/

    Description

    Context

    Covid-19 Data collected from various sources on the internet. This dataset has daily level information on the number of affected cases, deaths, and recovery from the 2019 novel coronavirus. Please note that this is time-series data and so the number of cases on any given day is the cumulative number.

    Content

    The dataset includes 28 files scrapped from various data sources mainly the John Hopkins GitHub repository, the ministry of health affairs India, worldometer, and Our World in Data website. The details of the files are as follows

    • countries-aggregated.csv A simple and cleaned data with 5 columns with self-explanatory names. -covid-19-daily-tests-vs-daily-new-confirmed-cases-per-million.csv A time-series data of daily test conducted v/s daily new confirmed case per million. Entity column represents Country name while code represents ISO code of the country. -covid-contact-tracing.csv Data depicting government policies adopted in case of contact tracing. 0 -> No tracing, 1-> limited tracing, 2-> Comprehensive tracing. -covid-stringency-index.csv The nine metrics used to calculate the Stringency Index are school closures; workplace closures; cancellation of public events; restrictions on public gatherings; closures of public transport; stay-at-home requirements; public information campaigns; restrictions on internal movements; and international travel controls. The index on any given day is calculated as the mean score of the nine metrics, each taking a value between 0 and 100. A higher score indicates a stricter response (i.e. 100 = strictest response). -covid-vaccination-doses-per-capita.csv A total number of vaccination doses administered per 100 people in the total population. This is counted as a single dose, and may not equal the total number of people vaccinated, depending on the specific dose regime (e.g. people receive multiple doses). -covid-vaccine-willingness-and-people-vaccinated-by-country.csv Survey who have not received a COVID vaccine and who are willing vs. unwilling vs. uncertain if they would get a vaccine this week if it was available to them. -covid_india.csv India specific data containing the total number of active cases, recovered and deaths statewide. -cumulative-deaths-and-cases-covid-19.csv A cumulative data containing death and daily confirmed cases in the world. -current-covid-patients-hospital.csv Time series data containing a count of covid patients hospitalized in a country -daily-tests-per-thousand-people-smoothed-7-day.csv Daily test conducted per 1000 people in a running week average. -face-covering-policies-covid.csv Countries are grouped into five categories: 1->No policy 2->Recommended 3->Required in some specified shared/public spaces outside the home with other people present, or some situations when social distancing not possible 4->Required in all shared/public spaces outside the home with other people present or all situations when social distancing not possible 5->Required outside the home at all times regardless of location or presence of other people -full-list-cumulative-total-tests-per-thousand-map.csv Full list of total tests conducted per 1000 people. -income-support-covid.csv Income support captures if the government is covering the salaries or providing direct cash payments, universal basic income, or similar, of people who lose their jobs or cannot work. 0->No income support, 1->covers less than 50% of lost salary, 2-> covers more than 50% of the lost salary. -internal-movement-covid.csv Showing government policies in restricting internal movements. Ranges from 0 to 2 where 2 represents the strictest. -international-travel-covid.csv Showing government policies in restricting international movements. Ranges from 0 to 2 where 2 represents the strictest. -people-fully-vaccinated-covid.csv Contains the count of fully vaccinated people in different countries. -people-vaccinated-covid.csv Contains the total count of vaccinated people in different countries. -positive-rate-daily-smoothed.csv Contains the positivity rate of various countries in a week running average. -public-gathering-rules-covid.csv Restrictions are given based on the size of public gatherings as follows: 0->No restrictions 1 ->Restrictions on very large gatherings (the limit is above 1000 people) 2 -> gatherings between 100-1000 people 3 -> gatherings between 10-100 people 4 -> gatherings of less than 10 people -school-closures-covid.csv School closure during Covid. -share-people-fully-vaccinated-covid.csv Share of people that are fully vaccinated. -stay-at-home-covid.csv Countries are grouped into four categories: 0->No measures 1->Recommended not to leave the house 2->Required to not leave the house with exceptions for daily exercise, grocery shopping, and ‘essent...
  17. COVID-19 Vaccine Data in Ontario

    • ouvert.canada.ca
    • datasets.ai
    • +1more
    csv, txt, xlsx
    Updated Apr 30, 2025
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    Government of Ontario (2025). COVID-19 Vaccine Data in Ontario [Dataset]. https://ouvert.canada.ca/data/dataset/752ce2b7-c15a-4965-a3dc-397bf405e7cc
    Explore at:
    csv, xlsx, txtAvailable download formats
    Dataset updated
    Apr 30, 2025
    Dataset provided by
    Government of Ontariohttps://www.ontario.ca/
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Time period covered
    Dec 16, 2020 - Nov 21, 2024
    Area covered
    Ontario
    Description

    **Effective November 14, 2024 this page will no longer be updated. Information about COVID-19 and other respiratory viruses is available on Public Health Ontario’s interactive respiratory virus tool: https://www.publichealthontario.ca/en/Data-and-Analysis/Infectious-Disease/Respiratory-Virus-Tool ** As of January 26, 2023, the population counts are based on Statistics Canada’s 2021 estimates. The coverage methodology has been revised to calculate age based on the current date and deceased individuals are no longer included. The method used to count daily dose administrations has changed is now based on the date delivered versus the day entered into the data system. Historical data has been updated. Please note that Cases by Vaccination Status data will no longer be published as of June 30, 2022. Please note that case rates by vaccination status and age group data will no longer be published as of July 13, 2022. Please note that Hospitalization by Vaccination Status data will no longer be published as of June 30, 2022. Learn more about COVID-19 vaccines. ##Data includes: * daily and total doses administered * individuals with at least one dose * individuals fully vaccinated * total doses given to fully vaccinated individuals * vaccinations by age * percentage of age group * individuals with at least one dose, by PHU, by age group * individuals fully vaccinated, by PHU, by age group * COVID-19 cases by status: not fully vaccinated, fully vaccinated, vaccinated with booster * individuals in hospital due to COVID-19 (excluding ICU) by status: unvaccinated, partially vaccinated, fully vaccinated * individuals in ICU due to COVID-19 by status: unvaccinated, partially vaccinated, fully vaccinated, unknown * rate of COVID-19 cases per 100,000 by status and age group * rate per 100,000 (7-day average) by status and age group All data reflects totals from 8 p.m. the previous day. This dataset is subject to change. Additional notes * Data entry of vaccination records is still in progress, therefore the dosage data may not be a full representation of all vaccination doses administered in Ontario. * The data does not include dosage data where consent was not provided for vaccination records to be entered into the provincial CoVax system. This includes individual records as well as records from some Indigenous communities where those communities have not consented to including vaccination information into CoVax. ##Hospitalizations and cases by vaccination status Hospitalizations * This is a new data collection and the data quality will continue to improve as hospitals continue to submit data. * In order to understand the vaccination status of patients currently hospitalized, a new data collection process was developed and this may cause discrepancies between other hospitalization numbers being collected using a different data collection process. * Data on patients in ICU are being collected from two different data sources with different extraction times and public reporting cycles. The existing data source (Critical Care Information System, CCIS) does not have vaccination status. * Historical data for hospitalizations by region may change over time as hospitals update previously entered data. * Due to incomplete weekend and holiday reporting, vaccination status data for hospital and ICU admissions is not updated on Sundays, Mondays and the day after holidays * Unvaccinated is defined as not having any dose, or between 0-13 days after administration of the first dose of a COVID-19 vaccine. * Partially vaccinated is defined as 14 days or more after the first dose of a 2-dose series COVID-19 vaccine, or between 0-13 days after administration of the second dose * Fully vaccinated is defined as 14 days or more after receipt of the second dose of a 2-dose series COVID-19 vaccine Cases * The cases by vaccination status may not match the daily COVID-19 case count because records with a missing or invalid health card number cannot be linked.

  18. CDC COVID-19 Vaccine Tracker

    • data.world
    csv, zip
    Updated Apr 8, 2025
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    The Associated Press (2025). CDC COVID-19 Vaccine Tracker [Dataset]. https://data.world/associatedpress/cdc-covid-19-vaccine-tracker
    Explore at:
    csv, zipAvailable download formats
    Dataset updated
    Apr 8, 2025
    Dataset provided by
    data.world, Inc.
    Authors
    The Associated Press
    Time period covered
    Dec 13, 2020 - Feb 15, 2023
    Description

    February 2nd Update

    The AP has requested a timeseries dataset reporting daily counts for distributed and administered vaccines in the U.S. from the CDC. In the absence of that dataset, we are storing daily snapshots of the cumulative counts provided by the CDC COVID Data Tracker and compiling a timeseries dataset here. This process has captured cumulative counts going back to January 4th and daily counts of new doses administered and distributed going back to January 5th. The timeseries dataset also includes seven-day rolling average calculations for the daily metrics.

    We have identified a few instances of decreasing cumulative counts in this timeseries, which result in single-day negative counts. We are treating these instances as corrections, and include the negative counts in the rolling averages.

    We are investigating the cumulative count decreases and will update the timeseries dataset if necessary with additional information from the CDC. When the CDC provides its own timeseries dataset we will make that available here.

    Overview

    The AP is using data provided by the Centers for Disease Control and Prevention to report vaccine doses distributed and administered in the United States.

    This data is from the CDC's COVID Data Tracker, which is updated daily. However, keep in mind that healthcare providers can report doses to federal, state, territorial, and local agencies up to 72 hours after doses are administered.

    To learn more about AP's data journalism capabilities for publishers, corporations and financial institutions, go here or email kromano@ap.org.

    Interactive

    The AP has designed an interactive map to track COVID-19 vaccine counts reported by The CDC. @(https://interactives.ap.org/embeds/TUVpf/14/)

    Interactive Embed Code

    <iframe title="Tracking US COVID vaccinations" aria-label="Map" id="datawrapper-chart-TUVpf" src="https://interactives.ap.org/embeds/TUVpf/14/" scrolling="no" width="100%" style="border:none" height="548"></iframe><script type="text/javascript">!function(){"use strict";window.addEventListener("message",(function(a){if(void 0!==a.data["datawrapper-height"])for(var e in a.data["datawrapper-height"]){var t=document.getElementById("datawrapper-chart-"+e)||document.querySelector("iframe[src*='"+e+"']");t&&(t.style.height=a.data["datawrapper-height"][e]+"px")}}))}();</script>
    

    Caveats

    From The CDC: - Numbers reported on CDC’s website are validated through a submission process with each jurisdiction and may differ from numbers posted on other websites. - Differences between reporting jurisdictions and CDC’s website may occur due to the timing of reporting and website updates. - The process used for reporting doses distributed or people vaccinated displayed by other websites may differ.

  19. O

    COVID-19 Vaccinations by Age Group - ARCHIVED

    • data.ct.gov
    • catalog.data.gov
    application/rdfxml +5
    Updated Feb 9, 2023
    + more versions
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    Department of Public Health (2023). COVID-19 Vaccinations by Age Group - ARCHIVED [Dataset]. https://data.ct.gov/Health-and-Human-Services/COVID-19-Vaccinations-by-Age-Group-ARCHIVED/vjim-iz5e
    Explore at:
    tsv, csv, application/rssxml, json, xml, application/rdfxmlAvailable download formats
    Dataset updated
    Feb 9, 2023
    Dataset authored and provided by
    Department of Public Health
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    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 vaccinated and with additional dose 1 may be under-estimated when records for an individual cannot be linked because of differences in how names or date of birth are reported.

    Connecticut COVID-19 Vaccine Program providers are required to report information on all COVID-19 vaccine doses administered to CT WiZ, the Connecticut Immunization Information System. This includes doses given to residents of CT and to residents of other states vaccinated in CT. Data on doses administered to CT residents out-of-state are being added to CT WiZ jurisdiction-by-jurisdiction. Doses administered by some Federal entities (including Department of Defense, Department of Correction, Department of Veteran’s Affairs, Indian Health Service) are not yet reported to CT WiZ. Data reported here reflect the vaccination records reported to CT WiZ. However, once CT residents who have received doses in each jurisdiction are added to CT WiZ, the records for residents of that jurisdiction vaccinated in CT are removed. For example, when CT residents vaccinated in NYC were added, NYC residents vaccinated in CT were removed.

    Note: As part of continuous data quality improvement efforts, duplicate records were removed from the COVID-19 vaccination data during the weeks of 4/19/2021 and 4/26/2021.

  20. d

    COVID-19 Vaccination by Town and Race/Ethnicity - ARCHIVED

    • catalog.data.gov
    • data.ct.gov
    • +1more
    Updated Sep 15, 2023
    + more versions
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    data.ct.gov (2023). COVID-19 Vaccination by Town and Race/Ethnicity - ARCHIVED [Dataset]. https://catalog.data.gov/dataset/covid-19-vaccination-by-town-and-race-ethnicity
    Explore at:
    Dataset updated
    Sep 15, 2023
    Dataset provided by
    data.ct.gov
    Description

    NOTE: As of 2/16/2023, this page is no longer being updated. This table shows the number and percent of people that have initiated COVID-19 vaccination and are fully vaccinated by race / ethnicity and town. It includes people of all ages. All data in this report are preliminary; data for previous dates will be updated as new reports are received and data errors are corrected. A person who has received at least one dose of any vaccine is considered to have initiated vaccination. A person is considered fully vaccinated if they have completed a primary 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 number who have received at least one dose. Race and ethnicity data may be self-reported or taken from an existing electronic health care record. Reported race and ethnicity information is used to create a single race/ethnicity variable. People with Hispanic ethnicity are classified as Hispanic regardless of reported race. People with a missing ethnicity are classified as non-Hispanic. People with more than one race are classified as multiple race. A vaccine coverage percentage cannot be calculated for people classified as NH Other race or NH Unknown race since there are not population size estimates for these groups. Data quality assurance activities suggest that NH Other may represent a missing value. Vaccine coverage estimates in specific race/ethnicity groups may be underestimated as result of the exclusion of records classified as NH Unknown Race or NH Other Race. Town of residence is verified by geocoding the reported address and then mapping it a town using municipal boundaries. If an address cannot be geocoded, the reported town is used. 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) or potential data reporting errors. The population denominators for these town- and age-specific coverage estimates are based on 2014 census estimates. This is the most recent year for which reliable town- and age-specific estimates are available. (https://portal.ct.gov/DPH/Health-Information-Systems--Reporting/Population/Town-Population-with-Demographics). Changes in the size and composition of the population between 2014 and 2021 may results in inaccuracy in vaccine coverage estimates. For example, the size of the Hispanic population may be underestimated in a town given the reported increase in the size of the Hispanic population between the 2010 and 2020 censuses resulting in inflated vaccine coverage estimates. The 2014 census data are grouped in 5-year age bands. For vaccine coverage age groupings not consistent with a standard 5-year age band, each age was assumed to be 20% of the total within a 5-year age band. However, given the large deviation from this assumption for Mansfield because of the presence of the University of Connecticut, the age distribution observed in the 2010 census for the age bands 15 to 19 and 20 to 24 was used to estimate the population denominators. This table does not included doses administered to CT residents by out-of-state providers or by some Federal entities (including Department of Defense, Department of Correction, Department of Veteran’s Affairs, Indian Health Service) because they are not yet reported to CT WiZ (the CT immunization Information System). It is expected that these data will be added in the future. Caution should be used when interpreting coverage estimates for towns with large college/university populations since coverage may be underestimated. In the census, college/university students who live on or just off campus would be counted in the college/university town. However, if a student was vaccinated while study

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California Department of Public Health (2024). COVID-19 Post-Vaccination Infection Data (ARCHIVED) [Dataset]. https://data.chhs.ca.gov/dataset/covid-19-post-vaccination-infection-data
Organization logo

COVID-19 Post-Vaccination Infection Data (ARCHIVED)

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5 scholarly articles cite this dataset (View in Google Scholar)
zip, csv(78921), csv(38212), xlsx(11056), csv(90508)Available download formats
Dataset updated
Aug 30, 2024
Dataset authored and provided by
California Department of Public Healthhttps://www.cdph.ca.gov/
Description

Note: This dataset is no longer being updated due to the end of the COVID-19 Public Health Emergency.

The California Department of Public Health (CDPH) is identifying vaccination status of COVID-19 cases, hospitalizations, and deaths by analyzing the state immunization registry and registry of confirmed COVID-19 cases. Post-vaccination cases are individuals who have a positive SARS-Cov-2 molecular test (e.g. PCR) at least 14 days after they have completed their primary vaccination series.

Tracking cases of COVID-19 that occur after vaccination is important for monitoring the impact of immunization campaigns. While COVID-19 vaccines are safe and effective, some cases are still expected in persons who have been vaccinated, as no vaccine is 100% effective. For more information, please see https://www.cdph.ca.gov/Programs/CID/DCDC/Pages/COVID-19/Post-Vaccine-COVID19-Cases.aspx

Post-vaccination infection data is updated monthly and includes data on cases, hospitalizations, and deaths among the unvaccinated and the vaccinated. Partially vaccinated individuals are excluded. To account for reporting and processing delays, there is at least a one-month lag in provided data (for example data published on 9/9/22 will include data through 7/31/22).

Notes:

  • On September 9, 2022, the post-vaccination data has been changed to compare unvaccinated with those with at least a primary series completed for persons age 5+. These data will be updated monthly (first Thursday of the month) and include at least a one month lag.

  • On February 2, 2022, the post-vaccination data has been changed to distinguish between vaccination with a primary series only versus vaccinated and boosted. The previous dataset has been uploaded as an archived table. Additionally, the lag on this data has been extended to 14 days.

  • On November 29, 2021, the denominator for calculating vaccine coverage has been changed from age 16+ to age 12+ to reflect new vaccine eligibility criteria. The previous dataset based on age 16+ denominators has been uploaded as an archived table.

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