32 datasets found
  1. D

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

    • data.cdc.gov
    • data.virginia.gov
    • +4more
    csv, xlsx, xml
    Updated Sep 15, 2025
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    Coronavirus and Other Respiratory Viruses Division (CORVD) (2025). Monthly COVID-19 Death Rates per 100,000 Population by Age Group, Race and Ethnicity, Sex, and Region with Double Stratification [Dataset]. https://data.cdc.gov/Public-Health-Surveillance/Monthly-COVID-19-Death-Rates-per-100-000-Populatio/exs3-hbne
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    xlsx, csv, xmlAvailable download formats
    Dataset updated
    Sep 15, 2025
    Dataset authored and provided by
    Coronavirus and Other Respiratory Viruses Division (CORVD)
    License

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

    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

  2. D

    Provisional COVID-19 death counts and rates by month, jurisdiction of...

    • data.cdc.gov
    • data.virginia.gov
    • +3more
    csv, xlsx, xml
    Updated Sep 25, 2025
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    NCHS/DVS (2025). Provisional COVID-19 death counts and rates by month, jurisdiction of residence, and demographic characteristics [Dataset]. https://data.cdc.gov/National-Center-for-Health-Statistics/Provisional-COVID-19-death-counts-and-rates-by-mon/yrur-wghw
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    xlsx, csv, xmlAvailable download formats
    Dataset updated
    Sep 25, 2025
    Dataset authored and provided by
    NCHS/DVS
    License

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

    Description

    This file contains COVID-19 death counts and rates by month and year of death, jurisdiction of residence (U.S., HHS Region) and demographic characteristics (sex, age, race and Hispanic origin, and age/race and Hispanic origin). United States death counts and rates include the 50 states, plus the District of Columbia.

    Deaths with confirmed or presumed COVID-19, coded to ICD–10 code U07.1. Number of deaths reported in this file are the total number of COVID-19 deaths received and coded as of the date of analysis and may not represent all deaths that occurred in that period. Counts of deaths occurring before or after the reporting period are not included in the file.

    Data during recent periods are incomplete because of the lag in time between when the death occurred and when the death certificate is completed, submitted to NCHS and processed for reporting purposes. This delay can range from 1 week to 8 weeks or more, depending on the jurisdiction and cause of death.

    Death counts should not be compared across jurisdictions. Data timeliness varies by state. Some states report deaths on a daily basis, while other states report deaths weekly or monthly.

    The ten (10) United States Department of Health and Human Services (HHS) regions include the following jurisdictions. Region 1: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont; Region 2: New Jersey, New York; Region 3: Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, West Virginia; Region 4: Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee; Region 5: Illinois, Indiana, Michigan, Minnesota, Ohio, Wisconsin; Region 6: Arkansas, Louisiana, New Mexico, Oklahoma, Texas; Region 7: Iowa, Kansas, Missouri, Nebraska; Region 8: Colorado, Montana, North Dakota, South Dakota, Utah, Wyoming; Region 9: Arizona, California, Hawaii, Nevada; Region 10: Alaska, Idaho, Oregon, Washington.

    Rates were calculated using the population estimates for 2021, which are estimated as of July 1, 2021 based on the Blended Base produced by the US Census Bureau in lieu of the April 1, 2020 decennial population count. The Blended Base consists of the blend of Vintage 2020 postcensal population estimates, 2020 Demographic Analysis Estimates, and 2020 Census PL 94-171 Redistricting File (see https://www2.census.gov/programs-surveys/popest/technical-documentation/methodology/2020-2021/methods-statement-v2021.pdf).

    Rate are based on deaths occurring in the specified week and are age-adjusted to the 2000 standard population using the direct method (see https://www.cdc.gov/nchs/data/nvsr/nvsr70/nvsr70-08-508.pdf). These rates differ from annual age-adjusted rates, typically presented in NCHS publications based on a full year of data and annualized weekly age-adjusted rates which have been adjusted to allow comparison with annual rates. Annualization rates presents deaths per year per 100,000 population that would be expected in a year if the observed period specific (weekly) rate prevailed for a full year.

    Sub-national death counts between 1-9 are suppressed in accordance with NCHS data confidentiality standards. Rates based on death counts less than 20 are suppressed in accordance with NCHS standards of reliability as specified in NCHS Data Presentation Standards for Proportions (available from: https://www.cdc.gov/nchs/data/series/sr_02/sr02_175.pdf.).

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

    • data.virginia.gov
    • healthdata.gov
    • +1more
    csv, json, rdf, xsl
    Updated Feb 23, 2025
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    Centers for Disease Control and Prevention (2025). COVID-19 Weekly Cases and Deaths by Age, Race/Ethnicity, and Sex - ARCHIVED [Dataset]. https://data.virginia.gov/dataset/covid-19-weekly-cases-and-deaths-by-age-race-ethnicity-and-sex-archived
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    rdf, json, csv, xslAvailable download formats
    Dataset updated
    Feb 23, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.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).

  4. Rates of COVID-19 Cases or Deaths by Age Group and Vaccination Status and...

    • healthdata.gov
    • odgavaprod.ogopendata.com
    • +1more
    csv, xlsx, xml
    Updated Jun 16, 2023
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    data.cdc.gov (2023). Rates of COVID-19 Cases or Deaths by Age Group and Vaccination Status and Second Booster Dose [Dataset]. https://healthdata.gov/CDC/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/4tut-jeki
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    xlsx, csv, xmlAvailable download formats
    Dataset updated
    Jun 16, 2023
    Dataset provided by
    data.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

  5. AH Provisional COVID-19 Deaths by Week, Place of Death, 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, Place of Death, and Age [Dataset]. https://catalog.data.gov/dataset/ah-place-of-death-by-age-and-week-provisional-counts-of-covid-19-deaths
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    Dataset updated
    Apr 23, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    Provisional death counts of COVID-19 deaths by place of death, week, and age. Data source: National Center for Health Statistics National Vital Statistics System. Provisional data for 2020-2021.

  6. Provisional COVID-19 Death Counts by Age in Years, 2020-2023

    • data.virginia.gov
    • datahub.hhs.gov
    • +5more
    csv, json, rdf, xsl
    Updated Apr 21, 2025
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    Centers for Disease Control and Prevention (2025). Provisional COVID-19 Death Counts by Age in Years, 2020-2023 [Dataset]. https://data.virginia.gov/dataset/provisional-covid-19-death-counts-by-age-in-years-2020-2023
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    rdf, xsl, json, csvAvailable download formats
    Dataset updated
    Apr 21, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    Effective June 28, 2023, this dataset will no longer be updated. Similar data are accessible from CDC WONDER (https://wonder.cdc.gov/mcd-icd10-provisional.html).

    Cumulative deaths involving COVID-19 reported to NCHS by sex and age in years, in the United States.

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

    • statista.com
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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.

  8. 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
    Explore at:
    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.

  9. AH Mon prov cnts deaths Causes Death Age Race CDC

    • kaggle.com
    zip
    Updated Jan 16, 2022
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    Andrew Aldrich (2022). AH Mon prov cnts deaths Causes Death Age Race CDC [Dataset]. https://www.kaggle.com/datasets/andrewaldrich/ah-mon-prov-cnts-deaths-causes-death-age-race-cdc/discussion
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    zip(43744 bytes)Available download formats
    Dataset updated
    Jan 16, 2022
    Authors
    Andrew Aldrich
    License

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

    Description

    Provisional counts of deaths by the month the deaths occurred, by age group and race/ethnicity, for select underlying causes of death for 2020-2021. Final data is provided for 2019. The dataset also includes monthly provisional counts of death for COVID-19, coded to ICD-10 code U07.1 as an underlying or multiple cause of death.

    What Age Groups are dying from COVID Alone?

    What races suffer from COVID 19 most?

    Are deaths from COVID-19 Decreasing?

    https://healthdata.gov/dataset/AH-Monthly-Provisional-Counts-of-Deaths-for-Select/bj4f-mcqz

  10. Rates of COVID-19 Cases or Deaths by Age Group and Updated (Bivalent)...

    • data.virginia.gov
    • healthdata.gov
    • +1more
    csv, json, rdf, xsl
    Updated Jun 1, 2023
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    Centers for Disease Control and Prevention (2023). Rates of COVID-19 Cases or Deaths by Age Group and Updated (Bivalent) Booster Status [Dataset]. https://data.virginia.gov/dataset/rates-of-covid-19-cases-or-deaths-by-age-group-and-updated-bivalent-booster-status
    Explore at:
    csv, xsl, json, rdfAvailable download formats
    Dataset updated
    Jun 1, 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 Updated (Bivalent) Booster Status. Click 'More' for important dataset description and footnotes

    Webpage: https://covid.cdc.gov/covid-data-tracker/#rates-by-vaccine-status

    Dataset and data visualization details:

    These data were posted and archived on May 30, 2023 and reflect cases among persons with a positive specimen collection date through April 22, 2023, and deaths among persons with a positive specimen collection date through April 1, 2023. These data will no longer be updated after May 2023.

    Vaccination status: A person vaccinated with at least a primary series had SARS-CoV-2 RNA or antigen detected on a respiratory specimen collected ≥14 days after verifiably completing the primary series of an FDA-authorized or approved COVID-19 vaccine. An unvaccinated person had SARS-CoV-2 RNA or antigen detected on a respiratory specimen and has not been verified to have received COVID-19 vaccine. Excluded were partially vaccinated people who received at least one FDA-authorized vaccine dose but did not complete a primary series ≥14 days before collection of a specimen where SARS-CoV-2 RNA or antigen was detected. A person vaccinated with a primary series and a monovalent booster dose had SARS-CoV-2 RNA or antigen detected on a respiratory specimen collected ≥14 days after verifiably receiving a primary series of an FDA-authorized or approved vaccine and at least one additional dose of any monovalent FDA-authorized or approved COVID-19 vaccine on or after August 13, 2021. (Note: this definition does not distinguish between vaccine recipients who are immunocompromised and are receiving an additional dose versus those who are not immunocompromised and receiving a booster dose.) A person vaccinated with a primary series and an updated (bivalent) booster dose had SARS-CoV-2 RNA or antigen detected in a respiratory specimen collected ≥14 days after verifiably receiving a primary series of an FDA-authorized or approved vaccine and an additional dose of any bivalent FDA-authorized or approved vaccine COVID-19 vaccine on or after September 1, 2022. (Note: Doses with bivalent doses reported as first or second doses are classified as vaccinated with a bivalent booster dose.) People with primary series or a monovalent booster dose were combined in the “vaccinated without an updated booster” category.

    Deaths: A COVID-19–associated death occurred in a person with a documented COVID-19 diagnosis who died; health department staff reviewed to make a determination using vital records, public health investigation, or other data sources. Per the interim guidance of the Council of State and Territorial Epidemiologists (CSTE), this should include persons whose death certificate lists COVID-19 disease or SARS-CoV-2 as the underlying cause of death or as a significant condition contributing to death. Rates of COVID-19 deaths by vaccination status are primarily reported based on when the patient was tested for COVID-19. In select jurisdictions, deaths are included that are not laboratory confirmed and are reported based on alternative dates (i.e., onset date for most; or date of death or report date, where onset date is unavailable). Deaths usually occur up to 30 days after COVID-19 diagnosis.

    Participating jurisdictions: Currently, these 24 health departments that regularly link their case surveillance to immunization information system data are included in these incidence rate estimates: Alabama, Arizona, Colorado, District of Columbia, Georgia, Idaho, Indiana, Kansas, Kentucky, Louisiana, Massachusetts, Michigan, Minnesota, Nebraska, New Jersey, New Mexico, New York, New York City (NY), North Carolina, Rhode Island, Tennessee, Texas, Utah, and West Virginia; 23 jurisdictions also report deaths among vaccinated and unvaccinated people. These jurisdictions represent 48% of the total U.S. population and all ten of the Health and Human Services Regions. This list will be

  11. Z

    Life table data for "Bounce backs amid continued losses: Life expectancy...

    • data.niaid.nih.gov
    • zenodo.org
    Updated Jul 20, 2022
    + more versions
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    Schöley, Jonas; Aburto, José Manuel; Kashnitsky, Ilya; Kniffka, Maxi S.; Zhang, Luyin; Jaadla, Hannaliis; Dowd, Jennifer B.; Kashyap, Ridhi (2022). Life table data for "Bounce backs amid continued losses: Life expectancy changes since COVID-19" [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_6241024
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    Dataset updated
    Jul 20, 2022
    Dataset provided by
    Interdisciplinary Centre on Population Dynamics, University of Southern Denmark
    Cambridge Group for the History of Population and Social Structure, Department of Geography, University of Cambridge
    Max Planck Institute for Demographic Research, Rostock
    Leverhulme Centre for Demographic Science and Department of Sociology, University of Oxford
    Authors
    Schöley, Jonas; Aburto, José Manuel; Kashnitsky, Ilya; Kniffka, Maxi S.; Zhang, Luyin; Jaadla, Hannaliis; Dowd, Jennifer B.; Kashyap, Ridhi
    License

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

    Description

    Life table data for "Bounce backs amid continued losses: Life expectancy changes since COVID-19"

    cc-by Jonas Schöley, José Manuel Aburto, Ilya Kashnitsky, Maxi S. Kniffka, Luyin Zhang, Hannaliis Jaadla, Jennifer B. Dowd, and Ridhi Kashyap. "Bounce backs amid continued losses: Life expectancy changes since COVID-19".

    These are CSV files of life tables over the years 2015 through 2021 across 29 countries analyzed in the paper "Bounce backs amid continued losses: Life expectancy changes since COVID-19".

    40-lifetables.csv

    Life table statistics 2015 through 2021 by sex, region and quarter with uncertainty quantiles based on Poisson replication of death counts. Actual life tables and expected life tables (under the assumption of pre-COVID mortality trend continuation) are provided.

    30-lt_input.csv

    Life table input data.

    id: unique row identifier

    region_iso: iso3166-2 region codes

    sex: Male, Female, Total

    year: iso year

    age_start: start of age group

    age_width: width of age group, Inf for age_start 100, otherwise 1

    nweeks_year: number of weeks in that year, 52 or 53

    death_total: number of deaths by any cause

    population_py: person-years of exposure (adjusted for leap-weeks and missing weeks in input data on all cause deaths)

    death_total_nweeksmiss: number of weeks in the raw input data with at least one missing death count for this region-sex-year stratum. missings are counted when the week is implicitly missing from the input data or if any NAs are encounted in this week or if age groups are implicitly missing for this week in the input data (e.g. 40-45, 50-55)

    death_total_minnageraw: the minimum number of age-groups in the raw input data within this region-sex-year stratum

    death_total_maxnageraw: the maximum number of age-groups in the raw input data within this region-sex-year stratum

    death_total_minopenageraw: the minimum age at the start of the open age group in the raw input data within this region-sex-year stratum

    death_total_maxopenageraw: the maximum age at the start of the open age group in the raw input data within this region-sex-year stratum

    death_total_source: source of the all-cause death data

    death_total_prop_q1: observed proportion of deaths in first quarter of year

    death_total_prop_q2: observed proportion of deaths in second quarter of year

    death_total_prop_q3: observed proportion of deaths in third quarter of year

    death_total_prop_q4: observed proportion of deaths in fourth quarter of year

    death_expected_prop_q1: expected proportion of deaths in first quarter of year

    death_expected_prop_q2: expected proportion of deaths in second quarter of year

    death_expected_prop_q3: expected proportion of deaths in third quarter of year

    death_expected_prop_q4: expected proportion of deaths in fourth quarter of year

    population_midyear: midyear population (July 1st)

    population_source: source of the population count/exposure data

    death_covid: number of deaths due to covid

    death_covid_date: number of deaths due to covid as of

    death_covid_nageraw: the number of age groups in the covid input data

    ex_wpp_estimate: life expectancy estimates from the World Population prospects for a five year period, merged at the midpoint year

    ex_hmd_estimate: life expectancy estimates from the Human Mortality Database

    nmx_hmd_estimate: death rate estimates from the Human Mortality Database

    nmx_cntfc: Lee-Carter death rate projections based on trend in the years 2015 through 2019

    Deaths

    source:

    STMF input data series (https://www.mortality.org/Public/STMF/Outputs/stmf.csv)

    ONS for GB-EAW pre 2020

    CDC for US pre 2020

    STMF:

    harmonized to single ages via pclm

    pclm iterates over country, sex, year, and within-year age grouping pattern and converts irregular age groupings, which may vary by country, year and week into a regular age grouping of 0:110

    smoothing parameters estimated via BIC grid search seperately for every pclm iteration

    last age group set to [110,111)

    ages 100:110+ are then summed into 100+ to be consistent with mid-year population information

    deaths in unknown weeks are considered; deaths in unknown ages are not considered

    ONS:

    data already in single ages

    ages 100:105+ are summed into 100+ to be consistent with mid-year population information

    PCLM smoothing applied to for consistency reasons

    CDC:

    The CDC data comes in single ages 0:100 for the US. For 2020 we only have the STMF data in a much coarser age grouping, i.e. (0, 1, 5, 15, 25, 35, 45, 55, 65, 75, 85+). In order to calculate life-tables in a manner consistent with 2020, we summarise the pre 2020 US death counts into the 2020 age grouping and then apply the pclm ungrouping into single year ages, mirroring the approach to the 2020 data

    Population

    source:

    for years 2000 to 2019: World Population Prospects 2019 single year-age population estimates 1950-2019

    for year 2020: World Population Prospects 2019 single year-age population projections 2020-2100

    mid-year population

    mid-year population translated into exposures:

    if a region reports annual deaths using the Gregorian calendar definition of a year (365 or 366 days long) set exposures equal to mid year population estimates

    if a region reports annual deaths using the iso-week-year definition of a year (364 or 371 days long), and if there is a leap-week in that year, set exposures equal to 371/364*mid_year_population to account for the longer reporting period. in years without leap-weeks set exposures equal to mid year population estimates. further multiply by fraction of observed weeks on all weeks in a year.

    COVID deaths

    source: COVerAGE-DB (https://osf.io/mpwjq/)

    the data base reports cumulative numbers of COVID deaths over days of a year, we extract the most up to date yearly total

    External life expectancy estimates

    source:

    World Population Prospects (https://population.un.org/wpp/Download/Files/1_Indicators%20(Standard)/CSV_FILES/WPP2019_Life_Table_Medium.csv), estimates for the five year period 2015-2019

    Human Mortality Database (https://mortality.org/), single year and age tables

  12. c

    death-statistics-cases-19cov - Dataset Taiwan CDC Open Data Portal

    • data.cdc.gov.tw
    + more versions
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    death-statistics-cases-19cov - Dataset Taiwan CDC Open Data Portal [Dataset]. https://data.cdc.gov.tw/dataset/death-statistics-cases-19cov
    Explore at:
    Description

    Statistical information on deaths of confirmed cases of Severe special infectious pneumonia(COVID-19) from 2020, sub-statistical tables stratified by region, age group, and gender. This data set is updated once a day according to the fixed schedule of the system. At present, there are more cases of severe special contagious pneumonia imported from abroad than those diagnosed at the airport or centralized quarantine center, and they are immediately isolated and treated, so the county and city information is not indicated.

  13. AH Provisional COVID-19 Deaths by Educational Attainment, Race, Sex, and Age...

    • healthdata.gov
    • data.virginia.gov
    • +4more
    csv, xlsx, xml
    Updated Feb 25, 2021
    + more versions
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    data.cdc.gov (2021). AH Provisional COVID-19 Deaths by Educational Attainment, Race, Sex, and Age [Dataset]. https://healthdata.gov/CDC/AH-Provisional-COVID-19-Deaths-by-Educational-Atta/esfi-ehx9
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    xlsx, csv, xmlAvailable download formats
    Dataset updated
    Feb 25, 2021
    Dataset provided by
    data.cdc.gov
    Description

    Provisional counts of deaths in the United States by educational attainment, race, sex, and age group. The dataset includes cumulative provisional counts of death for COVID-19, coded to ICD-10 code U07.1 as an underlying or multiple cause of death.

  14. T

    Provisional Death Counts for Coronavirus Disease (COVID-19)

    • datahub.hhs.gov
    • odgavaprod.ogopendata.com
    • +5more
    csv, xlsx, xml
    Updated Feb 25, 2021
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    data.cdc.gov (2021). Provisional Death Counts for Coronavirus Disease (COVID-19) [Dataset]. https://datahub.hhs.gov/CDC/Provisional-Death-Counts-for-Coronavirus-Disease-C/nra7-hmsx
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    xlsx, csv, xmlAvailable download formats
    Dataset updated
    Feb 25, 2021
    Dataset provided by
    data.cdc.gov
    Description

    This dataset is no longer updated. Please see the following datasets for recent data:

    Provisional COVID-19 Deaths by Week (https://data.cdc.gov/dataset/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab/)

    Provisional COVID-19 Deaths by Sex, Age, and State (https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Sex-Age-and-S/9bhg-hcku)

  15. Provisional Death Counts for Influenza, Pneumonia, and COVID-19

    • catalog.data.gov
    • data.virginia.gov
    • +4more
    Updated Apr 23, 2025
    + more versions
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    Centers for Disease Control and Prevention (2025). Provisional Death Counts for Influenza, Pneumonia, and COVID-19 [Dataset]. https://catalog.data.gov/dataset/provisional-death-counts-for-influenza-pneumonia-and-covid-19
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    Dataset updated
    Apr 23, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    Deaths counts for influenza, pneumonia, and COVID-19 reported to NCHS by week ending date, by state and HHS region, and age group.

  16. d

    COVID-19 Cases and Deaths by Race/Ethnicity - ARCHIVE

    • catalog.data.gov
    • data.ct.gov
    • +2more
    Updated Aug 12, 2023
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    data.ct.gov (2023). COVID-19 Cases and Deaths by Race/Ethnicity - ARCHIVE [Dataset]. https://catalog.data.gov/dataset/covid-19-cases-and-deaths-by-race-ethnicity
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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 down by race and ethnicity. 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 COVID-19 update. The following data show the number of COVID-19 cases and associated deaths per 100,000 population by race and ethnicity. Crude rates represent the total cases or deaths per 100,000 people. Age-adjusted rates consider the age of the person at diagnosis or death when estimating the rate and use a standardized population to provide a fair comparison between population groups with different age distributions. Age-adjustment is important in Connecticut as the median age of among the non-Hispanic white population is 47 years, whereas it is 34 years among non-Hispanic blacks, and 29 years among Hispanics. Because most non-Hispanic white residents who died were over 75 years of age, the age-adjusted rates are lower than the unadjusted rates. In contrast, Hispanic residents who died tend to be younger than 75 years of age which results in higher age-adjusted rates. The population data used to calculate rates is based on the CT DPH population statistics for 2019, which is available online here: https://portal.ct.gov/DPH/Health-Information-Systems--Reporting/Population/Population-Statistics. Prior to 5/10/2021, the population estimates from 2018 were used. Rates are standardized to the 2000 US Millions Standard population (data available here: https://seer.cancer.gov/stdpopulations/). Standardization was done using 19 age groups (0, 1-4, 5-9, 10-14, ..., 80-84, 85 years and older). More information about direct standardization for age adjustment is available here: https://www.cdc.gov/nchs/data/statnt/statnt06rv.pdf Categories are mutually exclusive. The category “multiracial” includes people who answered ‘yes’ to more than one race category. Counts may not add up to total case counts as data on race and ethnicity may be missing. Age adjusted rates calculated only for groups with more than 20 deaths. Abbreviation: NH=Non-Hispanic. Data on Connecticut deaths were obtained from the Connecticut Deaths Registry maintained by the DPH Office of Vital Records. Cause of death was determined by a death certifier (e.g., physician, APRN, medical

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    AH Monthly Provisional Counts of Deaths for Select Causes of Death by Age,...

    • datahub.hhs.gov
    • healthdata.gov
    • +3more
    csv, xlsx, xml
    Updated Feb 25, 2021
    + more versions
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    data.cdc.gov (2021). AH Monthly Provisional Counts of Deaths for Select Causes of Death by Age, and Race and Hispanic Origin [Dataset]. https://datahub.hhs.gov/CDC/AH-Monthly-Provisional-Counts-of-Deaths-for-Select/bj4f-mcqz
    Explore at:
    xlsx, xml, csvAvailable download formats
    Dataset updated
    Feb 25, 2021
    Dataset provided by
    data.cdc.gov
    Description

    Provisional counts of deaths by the month the deaths occurred, by age group and race/ethnicity, for select underlying causes of death for 2020-2021. Final data is provided for 2019. The dataset also includes monthly provisional counts of death for COVID-19, coded to ICD-10 code U07.1 as an underlying or multiple cause of death.

  18. All-cause, COVID-19, and non-COVID-19 ASDR for ages 25+ by state and time...

    • plos.figshare.com
    • figshare.com
    xls
    Updated Jun 21, 2023
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    Anneliese N. Luck; Andrew C. Stokes; Katherine Hempstead; Eugenio Paglino; Samuel H. Preston (2023). All-cause, COVID-19, and non-COVID-19 ASDR for ages 25+ by state and time period. [Dataset]. http://doi.org/10.1371/journal.pone.0281683.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Anneliese N. Luck; Andrew C. Stokes; Katherine Hempstead; Eugenio Paglino; Samuel H. Preston
    License

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

    Description

    All-cause, COVID-19, and non-COVID-19 ASDR for ages 25+ by state and time period.

  19. Provisional COVID-19 Deaths by Place of Death and Age

    • catalog.data.gov
    • healthdata.gov
    • +2more
    Updated Apr 23, 2025
    + more versions
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    Centers for Disease Control and Prevention (2025). Provisional COVID-19 Deaths by Place of Death and Age [Dataset]. https://catalog.data.gov/dataset/nvss-provisional-covid-19-deaths-by-place-of-death-and-age
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    Dataset updated
    Apr 23, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov. Deaths involving COVID-19, influenza, and pneumonia reported to NCHS by jurisdiction of occurrence, place of death, and age group.

  20. S

    AH Provisional COVID-19 Deaths by HHS Region, Race, and Age, 2015-2021

    • splitgraph.com
    • healthdata.gov
    • +5more
    Updated Apr 1, 2022
    + more versions
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    NCHS/DVS (2022). AH Provisional COVID-19 Deaths by HHS Region, Race, and Age, 2015-2021 [Dataset]. https://www.splitgraph.com/cdc-gov/ah-provisional-covid19-deaths-by-hhs-region-race-xy7w-35q7/
    Explore at:
    application/openapi+json, json, application/vnd.splitgraph.imageAvailable download formats
    Dataset updated
    Apr 1, 2022
    Dataset authored and provided by
    NCHS/DVS
    Description

    Provisional deaths involving coronavirus disease 2019 (COVID-19) and deaths from all causes reported to NCHS by week the death occurred, HHS region of occurrence, race and Hispanic origin, and age group (0-24, 25-64, 65+ years), from 2015-2021.

    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.

    Splitgraph serves as an HTTP API that lets you run SQL queries directly on this data to power Web applications. For example:

    See the Splitgraph documentation for more information.

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Coronavirus and Other Respiratory Viruses Division (CORVD) (2025). Monthly COVID-19 Death Rates per 100,000 Population by Age Group, Race and Ethnicity, Sex, and Region with Double Stratification [Dataset]. https://data.cdc.gov/Public-Health-Surveillance/Monthly-COVID-19-Death-Rates-per-100-000-Populatio/exs3-hbne

Monthly COVID-19 Death Rates per 100,000 Population by Age Group, Race and Ethnicity, Sex, and Region with Double Stratification

Explore at:
xlsx, csv, xmlAvailable download formats
Dataset updated
Sep 15, 2025
Dataset authored and provided by
Coronavirus and Other Respiratory Viruses Division (CORVD)
License

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

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

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