100+ datasets found
  1. D

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

    • data.cdc.gov
    • data.virginia.gov
    • +3more
    application/rdfxml +5
    Updated Aug 7, 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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    csv, json, application/rssxml, application/rdfxml, tsv, xmlAvailable download formats
    Dataset updated
    Aug 7, 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.).

  2. Number of COVID-19 deaths in the United States from 2020 to 2022, by year

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Number of COVID-19 deaths in the United States from 2020 to 2022, by year [Dataset]. https://www.statista.com/statistics/1382334/number-covid-deaths-us-by-year/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2020, there were around ******* deaths in the United States caused by COVID-19, compared to ******* COVID-19 deaths in 2021. This statistic shows the total number of deaths due to COVID-19 in the United States in 2020, 2021, and 2022.

  3. g

    SHIP Fall-Related Death Rate 2009-2021

    • gimi9.com
    • opendata.maryland.gov
    • +3more
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    SHIP Fall-Related Death Rate 2009-2021 [Dataset]. https://gimi9.com/dataset/data-gov_ship-fall-related-death-rate-2009-2017
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    Description

    This is historical data. The update frequency has been set to "Static Data" and is here for historic value. Updated on 8/14/2024 Fall-Related Death Rate - This indicator shows the rate of fall-related deaths per 100,000 population. Falls are a major cause of preventable death among the elderly and have increased across age groups in the past decade. Causes of fall-related deaths differ between the elderly and young and middle-aged populations, and require different prevention strategies. In 2009, falls accounted for 30% of accidental deaths. Link to Data Details

  4. U.S. total death rate 1990-2021

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). U.S. total death rate 1990-2021 [Dataset]. https://www.statista.com/statistics/195948/total-death-rate-in-the-us-since-1990/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2021, the death rate in the United States stood at **** deaths per 1,000 of the population. This is a slight increase from the previous year, when the death rate stood at **** deaths per 1,000 of the population.

  5. COVID-19 and Long COVID death rates in the United States in 2021-2022, by...

    • statista.com
    Updated Aug 3, 2023
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    Statista (2023). COVID-19 and Long COVID death rates in the United States in 2021-2022, by gender [Dataset]. https://www.statista.com/statistics/1401429/death-rates-from-covid-19-and-long-covid-in-the-us-by-gender/
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    Dataset updated
    Aug 3, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 1, 2021 - Jun 30, 2022
    Area covered
    United States
    Description

    Between July 2021 and June 2022, males in the United States reported higher death rates per million population than females for both COVID-19 and Long COVID. During this period, the death rate from COVID-19 for males was around 1,312 per million population, while roughly 7.3 men per million people died due to Long COVID. This statistic displays the death rates from COVID-19 and Long COVID per million population in the United States from July 2021 to June 2022, by gender.

  6. COVID-19 and Long COVID death rates in the United States in 2021-2022, by...

    • statista.com
    Updated Aug 3, 2023
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    Statista (2023). COVID-19 and Long COVID death rates in the United States in 2021-2022, by age group [Dataset]. https://www.statista.com/statistics/1401404/death-rates-from-covid-19-and-long-covid-in-the-us-by-age-group/
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    Dataset updated
    Aug 3, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 1, 2021 - Jun 30, 2022
    Area covered
    United States
    Description

    As of June 2022, death rates from COVID-19 and Long COVID per million people in the United States were both higher among individuals aged 85 and older. Within the analyzed period, approximately 117 people per million in this age group died due to Long COVID, and around 14,122 individuals per million died from COVID-19. This statistic shows the death rates from COVID-19 and Long COVID per million population in the United States from July 2021 to June 2022, by age group.

  7. SHIP Infant Death Rate 2010-2021

    • healthdata.gov
    • opendata.maryland.gov
    • +3more
    application/rdfxml +5
    Updated Apr 8, 2025
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    opendata.maryland.gov (2025). SHIP Infant Death Rate 2010-2021 [Dataset]. https://healthdata.gov/State/SHIP-Infant-Death-Rate-2010-2021/sr37-cdwm
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    csv, application/rssxml, application/rdfxml, xml, json, tsvAvailable download formats
    Dataset updated
    Apr 8, 2025
    Dataset provided by
    opendata.maryland.gov
    Description

    Infant Death Rate - This indicator shows the infant mortality rate per 1,000 live births. Infant mortality has long been considered the most sensitive indicator of the overall health of a population. While there have been several decades of improvement in infant mortality, Maryland’s rate remains higher than the national average. Link to Data Details

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

    • data.cdc.gov
    • data.virginia.gov
    • +1more
    application/rdfxml +5
    Updated Feb 22, 2023
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    CDC COVID-19 Response, Epidemiology Task Force (2023). Rates of COVID-19 Cases or Deaths by Age Group and Vaccination Status [Dataset]. https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a
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    tsv, application/rssxml, csv, application/rdfxml, xml, jsonAvailable download formats
    Dataset updated
    Feb 22, 2023
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Authors
    CDC COVID-19 Response, Epidemiology Task Force
    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 among people who received additional or booster doses were reported from 31 jurisdictions; 30 jurisdictions also reported data on deaths among people who received one or more additional or booster dose; 28 jurisdictions reported cases among people who received two or more additional or booster doses; and 26 jurisdictions reported deaths among people who received two or more additional or booster doses. This list will be updated as more jurisdictions participate. Incidence rate estimates: Weekly age-specific incidence rates by vaccination status were calculated as the number of cases or deaths divided by the number of people vaccinated with a primary series, overall or with/without a booster dose (cumulative) or unvaccinated (obtained by subtracting the cumulative number of people vaccinated with a primary series and partially vaccinated people from the 2019 U.S. intercensal population estimates) and multiplied by 100,000. Overall incidence rates were age-standardized using the 2000 U.S. Census standard population. To estimate population counts for ages 6 months through 1 year, half of the single-year population counts for ages 0 through 1 year were used. All rates are plotted by positive specimen collection date to reflect when incident infections occurred. For the primary series analysis, age-standardized rates include ages 12 years and older from April 4, 2021 through December 4, 2021, ages 5 years and older from December 5, 2021 through July 30, 2022 and ages 6 months and older from July 31, 2022 onwards. For the booster dose analysis, age-standardized rates include ages 18 years and older from September 19, 2021 through December 25, 2021, ages 12 years and older from December 26, 2021, and ages 5 years and older from June 5, 2022 onwards. Small numbers could contribute to less precision when calculating death rates among some groups. Continuity correction: A continuity correction has been applied to the denominators by capping the percent population coverage at 95%. To do this, we assumed that at least 5% of each age group would always be unvaccinated in each jurisdiction. Adding this correction ensures that there is always a reasonable denominator for the unvaccinated population that would prevent incidence and death rates from growing unrealistically large due to potential overestimates of vaccination coverage. Incidence rate ratios (IRRs): IRRs for the past one month were calculated by dividing the average weekly incidence rates among unvaccinated people by that among people vaccinated with a primary series either overall or with a booster dose. Publications: Scobie HM, Johnson AG, Suthar AB, et al. Monitoring Incidence of COVID-19 Cases, Hospitalizations, and Deaths, by Vaccination Status — 13 U.S. Jurisdictions, April 4–July 17, 2021. MMWR Morb Mortal Wkly Rep 2021;70:1284–1290. Johnson AG, Amin AB, Ali AR, et al. COVID-19 Incidence and Death Rates Among Unvaccinated and Fully Vaccinated Adults with and Without Booster Doses During Periods of Delta and Omicron Variant Emergence — 25 U.S. Jurisdictions, April 4–December 25, 2021. MMWR Morb Mortal Wkly Rep 2022;71:132–138. Johnson AG, Linde L, Ali AR, et al. COVID-19 Incidence and Mortality Among Unvaccinated and Vaccinated Persons Aged ≥12 Years by Receipt of Bivalent Booster Doses and Time Since Vaccination — 24 U.S. Jurisdictions, October 3, 2021–December 24, 2022. MMWR Morb Mortal Wkly Rep 2023;72:145–152. Johnson AG, Linde L, Payne AB, et al. Notes from the Field: Comparison of COVID-19 Mortality Rates Among Adults Aged ≥65 Years Who Were Unvaccinated and Those Who Received a Bivalent Booster Dose Within the Preceding 6 Months — 20 U.S. Jurisdictions, September 18, 2022–April 1, 2023. MMWR Morb Mortal Wkly Rep 2023;72:667–669.

  9. C

    Death Profiles by County

    • data.chhs.ca.gov
    • data.ca.gov
    • +4more
    csv, zip
    Updated Jul 28, 2025
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    California Department of Public Health (2025). Death Profiles by County [Dataset]. https://data.chhs.ca.gov/dataset/death-profiles-by-county
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    csv(74351424), csv(75015194), csv(11738570), csv(1128641), csv(15127221), csv(60517511), csv(73906266), csv(60201673), csv(60676655), csv(28125832), csv(60023260), csv(51592721), csv(74689382), csv(52019564), csv(5095), csv(74043128), csv(24264506), zip, csv(24235858), csv(74497014)Available download formats
    Dataset updated
    Jul 28, 2025
    Dataset authored and provided by
    California Department of Public Health
    Description

    This dataset contains counts of deaths for California counties based on information entered on death certificates. Final counts are derived from static data and include out-of-state deaths to California residents, whereas provisional counts are derived from incomplete and dynamic data. Provisional counts are based on the records available when the data was retrieved and may not represent all deaths that occurred during the time period. Deaths involving injuries from external or environmental forces, such as accidents, homicide and suicide, often require additional investigation that tends to delay certification of the cause and manner of death. This can result in significant under-reporting of these deaths in provisional data.

    The final data tables include both deaths that occurred in each California county regardless of the place of residence (by occurrence) and deaths to residents of each California county (by residence), whereas the provisional data table only includes deaths that occurred in each county regardless of the place of residence (by occurrence). The data are reported as totals, as well as stratified by age, gender, race-ethnicity, and death place type. Deaths due to all causes (ALL) and selected underlying cause of death categories are provided. See temporal coverage for more information on which combinations are available for which years.

    The cause of death categories are based solely on the underlying cause of death as coded by the International Classification of Diseases. The underlying cause of death is defined by the World Health Organization (WHO) as "the disease or injury which initiated the train of events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury." It is a single value assigned to each death based on the details as entered on the death certificate. When more than one cause is listed, the order in which they are listed can affect which cause is coded as the underlying cause. This means that similar events could be coded with different underlying causes of death depending on variations in how they were entered. Consequently, while underlying cause of death provides a convenient comparison between cause of death categories, it may not capture the full impact of each cause of death as it does not always take into account all conditions contributing to the death.

  10. Death rate by age and sex in the U.S. 2021

    • statista.com
    Updated Oct 25, 2024
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    Statista (2024). Death rate by age and sex in the U.S. 2021 [Dataset]. https://www.statista.com/statistics/241572/death-rate-by-age-and-sex-in-the-us/
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    Dataset updated
    Oct 25, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    United States
    Description

    In the United States in 2021, the death rate was highest among those aged 85 and over, with about 17,190.5 men and 14,914.5 women per 100,000 of the population passing away. For all ages, the death rate was at 1,118.2 per 100,000 of the population for males, and 970.8 per 100,000 of the population for women. The death rate Death rates generally are counted as the number of deaths per 1,000 or 100,000 of the population and include both deaths of natural and unnatural causes. The death rate in the United States had pretty much held steady since 1990 until it started to increase over the last decade, with the highest death rates recorded in recent years. While the birth rate in the United States has been decreasing, it is still currently higher than the death rate. Causes of death There are a myriad number of causes of death in the United States, but the most recent data shows the top three leading causes of death to be heart disease, cancers, and accidents. Heart disease was also the leading cause of death worldwide.

  11. Statewide Death Profiles

    • data.chhs.ca.gov
    • data.ca.gov
    • +3more
    csv, zip
    Updated Jul 28, 2025
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    California Department of Public Health (2025). Statewide Death Profiles [Dataset]. https://data.chhs.ca.gov/dataset/statewide-death-profiles
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    csv(2026589), csv(5034), csv(200270), csv(385695), csv(4689434), csv(419332), zip, csv(16301), csv(463460), csv(5401561), csv(164006)Available download formats
    Dataset updated
    Jul 28, 2025
    Dataset authored and provided by
    California Department of Public Healthhttps://www.cdph.ca.gov/
    Description

    This dataset contains counts of deaths for California as a whole based on information entered on death certificates. Final counts are derived from static data and include out-of-state deaths to California residents, whereas provisional counts are derived from incomplete and dynamic data. Provisional counts are based on the records available when the data was retrieved and may not represent all deaths that occurred during the time period. Deaths involving injuries from external or environmental forces, such as accidents, homicide and suicide, often require additional investigation that tends to delay certification of the cause and manner of death. This can result in significant under-reporting of these deaths in provisional data.

    The final data tables include both deaths that occurred in California regardless of the place of residence (by occurrence) and deaths to California residents (by residence), whereas the provisional data table only includes deaths that occurred in California regardless of the place of residence (by occurrence). The data are reported as totals, as well as stratified by age, gender, race-ethnicity, and death place type. Deaths due to all causes (ALL) and selected underlying cause of death categories are provided. See temporal coverage for more information on which combinations are available for which years.

    The cause of death categories are based solely on the underlying cause of death as coded by the International Classification of Diseases. The underlying cause of death is defined by the World Health Organization (WHO) as "the disease or injury which initiated the train of events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury." It is a single value assigned to each death based on the details as entered on the death certificate. When more than one cause is listed, the order in which they are listed can affect which cause is coded as the underlying cause. This means that similar events could be coded with different underlying causes of death depending on variations in how they were entered. Consequently, while underlying cause of death provides a convenient comparison between cause of death categories, it may not capture the full impact of each cause of death as it does not always take into account all conditions contributing to the death.

  12. D

    ARCHIVED: COVID-19 Cases and Deaths Summarized by Geography

    • data.sfgov.org
    Updated Sep 11, 2023
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    Department of Public Health - Population Health Division (2023). ARCHIVED: COVID-19 Cases and Deaths Summarized by Geography [Dataset]. https://data.sfgov.org/COVID-19/ARCHIVED-COVID-19-Cases-and-Deaths-Summarized-by-G/tpyr-dvnc
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    xml, application/rdfxml, csv, tsv, application/geo+json, kml, application/rssxml, kmzAvailable download formats
    Dataset updated
    Sep 11, 2023
    Dataset authored and provided by
    Department of Public Health - Population Health Division
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Description

    A. SUMMARY Medical provider confirmed COVID-19 cases and confirmed COVID-19 related deaths in San Francisco, CA aggregated by several different geographic areas and normalized by 2016-2020 American Community Survey (ACS) 5-year estimates for population data to calculate rate per 10,000 residents.

    On September 12, 2021, a new case definition of COVID-19 was introduced that includes criteria for enumerating new infections after previous probable or confirmed infections (also known as reinfections). A reinfection is defined as a confirmed positive PCR lab test more than 90 days after a positive PCR or antigen test. The first reinfection case was identified on December 7, 2021.

    Cases and deaths are both mapped to the residence of the individual, not to where they were infected or died. For example, if one was infected in San Francisco at work but lives in the East Bay, those are not counted as SF Cases or if one dies in Zuckerberg San Francisco General but is from another county, that is also not counted in this dataset.

    Dataset is cumulative and covers cases going back to 3/2/2020 when testing began.

    Geographic areas summarized are: 1. Analysis Neighborhoods 2. Census Tracts 3. Census Zip Code Tabulation Areas

    B. HOW THE DATASET IS CREATED Addresses from medical data are geocoded by the San Francisco Department of Public Health (SFDPH). Those addresses are spatially joined to the geographic areas. Counts are generated based on the number of address points that match each geographic area. The 2016-2020 American Community Survey (ACS) population estimates provided by the Census are used to create a rate which is equal to ([count] / [acs_population]) * 10000) representing the number of cases per 10,000 residents.

    C. UPDATE PROCESS Geographic analysis is scripted by SFDPH staff and synced to this dataset daily at 7:30 Pacific Time.

    D. HOW TO USE THIS DATASET San Francisco population estimates for geographic regions can be found in a view based on the San Francisco Population and Demographic Census dataset. These population estimates are from the 2016-2020 5-year American Community Survey (ACS).

    Privacy rules in effect To protect privacy, certain rules are in effect: 1. Case counts greater than 0 and less than 10 are dropped - these will be null (blank) values 2. Death counts greater than 0 and less than 10 are dropped - these will be null (blank) values 3. Cases and deaths dropped altogether for areas where acs_population < 1000

    Rate suppression in effect where counts lower than 20 Rates are not calculated unless the case count is greater than or equal to 20. Rates are generally unstable at small numbers, so we avoid calculating them directly. We advise you to apply the same approach as this is best practice in epidemiology.

    A note on Census ZIP Code Tabulation Areas (ZCTAs) ZIP Code Tabulation Areas are special boundaries created by the U.S. Census based on ZIP Codes developed by the USPS. They are not, however, the same thing. ZCTAs are areal representations of routes. Read how the Census develops ZCTAs on their website.

    Row included for Citywide case counts, incidence rate, and deaths A single row is included that has the Citywide case counts and incidence rate. This can be used for comparisons. Citywide will capture all cases regardless of address quality. While some cases cannot be mapped to sub-areas like Census Tracts, ongoing data quality efforts result in improved mapping on a rolling basis.

    E. CHANGE LOG

    • 9/11/2023 - data on COVID-19 cases and deaths summarized by geography are no longer being updated. This data is currently through 9/6/2023 and will not include any new data after this date.
    • 4/6/2023 - the State implemented system updates to improve the integrity of historical data.
    • 2/21/2023 - system updates to improve reliability and accuracy of cases data were implemented.
    • 1/31/2023 - updated “acs_population” column to reflect the 2020 Census Bureau American Community Survey (ACS) San Francisco Population estimates.
    • 1/31/2023 - implemented system updates to streamline and improve our geo-coded data, resulting in small shifts in our case and death data by geography.
    • 1/31/2023 - renamed column “last_updated_at” to “data_as_of”.
    • 2/23/2022 - the New Cases Map dashboard began pulling from this dataset. To access Cases by Geography Over Time, please refer to this dataset.
    • 1/22/2022 - system updates to improve timeliness and accuracy of cases and deaths data were implemented.
    • 7/15/2022 - reinfections added to cases dataset. See section SUMMARY for more information on how reinfections are identified.
    • 4/16/2021 - dataset updated to refresh with a five-day data lag.

  13. w

    Top dates by country's death rate in 2021

    • workwithdata.com
    Updated Apr 9, 2025
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    Work With Data (2025). Top dates by country's death rate in 2021 [Dataset]. https://www.workwithdata.com/charts/countries-yearly?agg=avg&chart=hbar&f=1&fcol0=date&fop0=%3D&fval0=2021&x=date&y=death_rate
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    Dataset updated
    Apr 9, 2025
    Dataset authored and provided by
    Work With Data
    License

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

    Description

    This horizontal bar chart displays death rate (per 1,000 people) by date using the aggregation average, weighted by population. The data is filtered where the date is 2021. The data is about countries per year.

  14. U

    United States Excess Deaths: Above Expected: Texas

    • ceicdata.com
    Updated Feb 15, 2025
    + more versions
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    CEICdata.com (2025). United States Excess Deaths: Above Expected: Texas [Dataset]. https://www.ceicdata.com/en/united-states/number-of-excess-deaths-by-states-all-causes/excess-deaths-above-expected-texas
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Aug 14, 2021 - Oct 30, 2021
    Area covered
    United States
    Variables measured
    Vital Statistics
    Description

    United States Excess Deaths: Above Expected: Texas data was reported at 0.000 Number in 30 Oct 2021. This stayed constant from the previous number of 0.000 Number for 23 Oct 2021. United States Excess Deaths: Above Expected: Texas data is updated weekly, averaging 0.000 Number from Jan 2017 (Median) to 30 Oct 2021, with 251 observations. The data reached an all-time high of 2,674.000 Number in 16 Jan 2021 and a record low of 0.000 Number in 30 Oct 2021. United States Excess Deaths: Above Expected: Texas data remains active status in CEIC and is reported by Centers for Disease Control and Prevention. The data is categorized under Global Database’s United States – Table US.G010: Number of Excess Deaths: by States: All Causes (Discontinued).

  15. n

    Coronavirus (Covid-19) Data in the United States

    • nytimes.com
    • openicpsr.org
    • +2more
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    New York Times, Coronavirus (Covid-19) Data in the United States [Dataset]. https://www.nytimes.com/interactive/2020/us/coronavirus-us-cases.html
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    Dataset provided by
    New York Times
    Description

    The New York Times is releasing a series of data files with cumulative counts of coronavirus cases in the United States, at the state and county level, over time. We are compiling this time series data from state and local governments and health departments in an attempt to provide a complete record of the ongoing outbreak.

    Since late January, The Times has tracked cases of coronavirus in real time as they were identified after testing. Because of the widespread shortage of testing, however, the data is necessarily limited in the picture it presents of the outbreak.

    We have used this data to power our maps and reporting tracking the outbreak, and it is now being made available to the public in response to requests from researchers, scientists and government officials who would like access to the data to better understand the outbreak.

    The data begins with the first reported coronavirus case in Washington State on Jan. 21, 2020. We will publish regular updates to the data in this repository.

  16. c

    Number of Deaths per Year in U.S., 1950-2025

    • consumershield.com
    csv
    Updated Jan 14, 2025
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    ConsumerShield Research Team (2025). Number of Deaths per Year in U.S., 1950-2025 [Dataset]. https://www.consumershield.com/articles/deaths-per-year-us
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    csvAvailable download formats
    Dataset updated
    Jan 14, 2025
    Dataset authored and provided by
    ConsumerShield Research Team
    License

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

    Area covered
    United States
    Description

    The graph displays the number of deaths per year in the United States from 1950 to 2025. The x-axis represents the years, abbreviated from '50 to '25, while the y-axis indicates the annual number of deaths. Over this 75-year period, the number of deaths ranges from a low of 1,479,684 in 1950 to a high of 3,492,879 in 2021. Notable figures include 2,430,923 deaths in 2001 and 3,090,000 projected deaths in 2024. The data exhibits a general upward trend in annual deaths over the decades, with significant increases in recent years. This information is presented in a line graph format, effectively highlighting the long-term trends and yearly variations in deaths across the United States.

  17. w

    Distribution of death rate per countries per year in the United States and...

    • workwithdata.com
    Updated Apr 9, 2025
    + more versions
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    Work With Data (2025). Distribution of death rate per countries per year in the United States and in 2021 [Dataset]. https://www.workwithdata.com/charts/countries-yearly?agg=avg&chart=bar&f=2&fcol0=country&fcol1=date&fop0=%3D&fop1=%3D&fval0=United+States&fval1=2021&x=total&y=death_rate
    Explore at:
    Dataset updated
    Apr 9, 2025
    Dataset authored and provided by
    Work With Data
    License

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

    Area covered
    United States
    Description

    This bar chart displays death rate (per 1,000 people) by countries yearly using the aggregation average, weighted by population in the United States. The data is filtered where the date is 2021. The data is about countries per year.

  18. c

    Number of Daily Deaths in U.S. (1950-2025)

    • consumershield.com
    csv
    Updated Jun 11, 2025
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    ConsumerShield Research Team (2025). Number of Daily Deaths in U.S. (1950-2025) [Dataset]. https://www.consumershield.com/articles/how-many-deaths-every-day-us
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 11, 2025
    Dataset authored and provided by
    ConsumerShield Research Team
    License

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

    Area covered
    United States
    Description

    The graph illustrates the number of deaths per day in the United States from 1950 to 2025. The x-axis represents the years, abbreviated from '50 to '24, while the y-axis indicates the daily number of deaths. Over this 75-year period, the number of deaths per day ranges from a low of 4,054 in 1950 to a high of 9,570 in 2021. Notable figures include 6,855 deaths in 2010 and 8,333 in 2024. The data shows a general upward trend in daily deaths over the decades, with recent years experiencing some fluctuations. This information is presented in a line graph format, effectively highlighting the long-term trends and yearly variations in daily deaths across the United States.

  19. J

    Japan Death rate - data, chart | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Jan 17, 2015
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    Globalen LLC (2015). Japan Death rate - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/Japan/Death_rate/
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    xml, excel, csvAvailable download formats
    Dataset updated
    Jan 17, 2015
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Dec 31, 1960 - Dec 31, 2022
    Area covered
    Japan
    Description

    Japan: Death rate, per 1000 people: The latest value from 2022 is 12.9 deaths per 1000 people, an increase from 11.7 deaths per 1000 people in 2021. In comparison, the world average is 8.37 deaths per 1000 people, based on data from 195 countries. Historically, the average for Japan from 1960 to 2022 is 7.8 deaths per 1000 people. The minimum value, 6 deaths per 1000 people, was reached in 1979 while the maximum of 12.9 deaths per 1000 people was recorded in 2022.

  20. S

    Switzerland Death rate - data, chart | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Nov 26, 2016
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    Globalen LLC (2016). Switzerland Death rate - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/Switzerland/Death_rate/
    Explore at:
    csv, xml, excelAvailable download formats
    Dataset updated
    Nov 26, 2016
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Dec 31, 1960 - Dec 31, 2022
    Area covered
    Switzerland
    Description

    Switzerland: Death rate, per 1000 people: The latest value from 2022 is 8.5 deaths per 1000 people, an increase from 8.2 deaths per 1000 people in 2021. In comparison, the world average is 8.37 deaths per 1000 people, based on data from 195 countries. Historically, the average for Switzerland from 1960 to 2022 is 8.83 deaths per 1000 people. The minimum value, 7.8 deaths per 1000 people, was reached in 2011 while the maximum of 10 deaths per 1000 people was recorded in 1963.

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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

Provisional COVID-19 death counts and rates by month, jurisdiction of residence, and demographic characteristics

Explore at:
csv, json, application/rssxml, application/rdfxml, tsv, xmlAvailable download formats
Dataset updated
Aug 7, 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.).

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