40 datasets found
  1. Statewide Death Profiles

    • data.chhs.ca.gov
    • healthdata.gov
    • +1more
    csv, zip
    Updated May 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
    Explore at:
    csv(2026589), csv(200270), csv(5034), csv(5401561), csv(164006), csv(4689434), zip, csv(342763), csv(419332)Available download formats
    Dataset updated
    May 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.

  2. D

    Provisional COVID-19 Deaths by Sex and Age

    • data.cdc.gov
    • healthdata.gov
    • +2more
    application/rdfxml +5
    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?mobile_redirect=true
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    csv, application/rdfxml, xml, json, tsv, application/rssxmlAvailable 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.

  3. COVID-19 Time-Series Metrics by County and State (ARCHIVED)

    • data.chhs.ca.gov
    • data.ca.gov
    • +2more
    csv, xlsx, zip
    Updated Aug 28, 2024
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    California Department of Public Health (2024). COVID-19 Time-Series Metrics by County and State (ARCHIVED) [Dataset]. https://data.chhs.ca.gov/dataset/covid-19-time-series-metrics-by-county-and-state
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    xlsx(7811), xlsx(6471), csv(3313), xlsx(11305), csv(6223281), zipAvailable download formats
    Dataset updated
    Aug 28, 2024
    Dataset authored and provided by
    California Department of Public Healthhttps://www.cdph.ca.gov/
    Description

    Note: This COVID-19 data set is no longer being updated as of December 1, 2023. Access current COVID-19 data on the CDPH respiratory virus dashboard (https://www.cdph.ca.gov/Programs/CID/DCDC/Pages/Respiratory-Viruses/RespiratoryDashboard.aspx) or in open data format (https://data.chhs.ca.gov/dataset/respiratory-virus-dashboard-metrics).

    As of August 17, 2023, data is being updated each Friday.

    For death data after December 31, 2022, California uses Provisional Deaths from the Center for Disease Control and Prevention’s National Center for Health Statistics (NCHS) National Vital Statistics System (NVSS). Prior to January 1, 2023, death data was sourced from the COVID-19 registry. The change in data source occurred in July 2023 and was applied retroactively to all 2023 data to provide a consistent source of death data for the year of 2023.

    As of May 11, 2023, data on cases, deaths, and testing is being updated each Thursday. Metrics by report date have been removed, but previous versions of files with report date metrics are archived below.

    All metrics include people in state and federal prisons, US Immigration and Customs Enforcement facilities, US Marshal detention facilities, and Department of State Hospitals facilities. Members of California's tribal communities are also included.

    The "Total Tests" and "Positive Tests" columns show totals based on the collection date. There is a lag between when a specimen is collected and when it is reported in this dataset. As a result, the most recent dates on the table will temporarily show NONE in the "Total Tests" and "Positive Tests" columns. This should not be interpreted as no tests being conducted on these dates. Instead, these values will be updated with the number of tests conducted as data is received.

  4. Deaths, by month

    • www150.statcan.gc.ca
    • gimi9.com
    • +3more
    Updated Feb 19, 2025
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    Government of Canada, Statistics Canada (2025). Deaths, by month [Dataset]. http://doi.org/10.25318/1310070801-eng
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    Dataset updated
    Feb 19, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Number and percentage of deaths, by month and place of residence, 1991 to most recent year.

  5. [Archived] COVID-19 Deaths by Population Characteristics Over Time

    • healthdata.gov
    • data.sfgov.org
    • +1more
    application/rdfxml +4
    Updated Apr 8, 2025
    + more versions
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    data.sfgov.org (2025). [Archived] COVID-19 Deaths by Population Characteristics Over Time [Dataset]. https://healthdata.gov/dataset/-Archived-COVID-19-Deaths-by-Population-Characteri/hs5f-amst
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    csv, json, xml, tsv, application/rdfxmlAvailable download formats
    Dataset updated
    Apr 8, 2025
    Dataset provided by
    data.sfgov.org
    Description

    As of July 2nd, 2024 the COVID-19 Deaths by Population Characteristics Over Time dataset has been retired. This dataset is archived and will no longer update. We will be publishing a cumulative deaths by population characteristics dataset that will update moving forward.

    A. SUMMARY This dataset shows San Francisco COVID-19 deaths by population characteristics and by date. This data may not be immediately available for recently reported deaths. Data updates as more information becomes available. Because of this, death totals for previous days may increase or decrease. More recent data is less reliable.

    Population characteristics are subgroups, or demographic cross-sections, like age, race, or gender. The City tracks how deaths have been distributed among different subgroups. This information can reveal trends and disparities among groups.

    B. HOW THE DATASET IS CREATED As of January 1, 2023, COVID-19 deaths are defined as persons who had COVID-19 listed as a cause of death or a significant condition contributing to their death on their death certificate. This definition is in alignment with the California Department of Public Health and the national https://preparedness.cste.org/wp-content/uploads/2022/12/CSTE-Revised-Classification-of-COVID-19-associated-Deaths.Final_.11.22.22.pdf">Council of State and Territorial Epidemiologists. Death certificates are maintained by the California Department of Public Health.

    Data on the population characteristics of COVID-19 deaths are from: *Case reports *Medical records *Electronic lab reports *Death certificates

    Data are continually updated to maximize completeness of information and reporting on San Francisco COVID-19 deaths.

    To protect resident privacy, we summarize COVID-19 data by only one characteristic at a time. Data are not shown until cumulative citywide deaths reach five or more.

    Data notes on each population characteristic type is listed below.

    Race/ethnicity * We include all race/ethnicity categories that are collected for COVID-19 cases.

    Gender * The City collects information on gender identity using these guidelines.

    C. UPDATE PROCESS Updates automatically at 06:30 and 07:30 AM Pacific Time on Wednesday each week.

    Dataset will not update on the business day following any federal holiday.

    D. HOW TO USE THIS DATASET Population estimates are only available for age groups and race/ethnicity categories. San Francisco population estimates for race/ethnicity and age groups 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).

    This dataset includes many different types of characteristics. Filter the “Characteristic Type” column to explore a topic area. Then, the “Characteristic Group” column shows each group or category within that topic area and the number of deaths on each date.

    New deaths are the count of deaths within that characteristic group on that specific date. Cumulative deaths are the running total of all San Francisco COVID-19 deaths in that characteristic group up to the date listed.

    This data may not be immediately available for more recent deaths. Data updates as more information becomes available.

    To explore data on the total number of deaths, use the COVID-19 Deaths Over Time dataset.

    E. CHANGE LOG

    • 9/11/2023 - on this date, we began using an updated definition of a COVID-19 death to align with the California Department o

  6. i

    COVID-19 County-Wide Test, Case, and Death Trends

    • hub.mph.in.gov
    Updated May 14, 2020
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    (2020). COVID-19 County-Wide Test, Case, and Death Trends [Dataset]. https://hub.mph.in.gov/dataset/covid-19-county-wide-test-case-and-death-trends
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    Dataset updated
    May 14, 2020
    License

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

    Description

    Archived as of 11/15/2023: 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 as an archival copy. Number of COVID-19 cases, tests, and deaths by report date, by county. New positive cases, deaths and tests have occurred over a range of dates but were reported to ISDH in the last 24 hours. All data displayed is preliminary and subject to change as more information is reported to ISDH. Tests are displayed by the date the test was performed and deaths are displayed by the date the death occurred. Expect historical data to change as data is reported to ISDH.

  7. w

    Fire statistics data tables

    • gov.uk
    • s3.amazonaws.com
    Updated Apr 17, 2025
    + more versions
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    Ministry of Housing, Communities and Local Government (2025). Fire statistics data tables [Dataset]. https://www.gov.uk/government/statistical-data-sets/fire-statistics-data-tables
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    Dataset updated
    Apr 17, 2025
    Dataset provided by
    GOV.UK
    Authors
    Ministry of Housing, Communities and Local Government
    Description

    On 1 April 2025 responsibility for fire and rescue transferred from the Home Office to the Ministry of Housing, Communities and Local Government.

    This information covers fires, false alarms and other incidents attended by fire crews, and the statistics include the numbers of incidents, fires, fatalities and casualties as well as information on response times to fires. The Ministry of Housing, Communities and Local Government (MHCLG) also collect information on the workforce, fire prevention work, health and safety and firefighter pensions. All data tables on fire statistics are below.

    MHCLG has responsibility for fire services in England. The vast majority of data tables produced by the Ministry of Housing, Communities and Local Government are for England but some (0101, 0103, 0201, 0501, 1401) tables are for Great Britain split by nation. In the past the Department for Communities and Local Government (who previously had responsibility for fire services in England) produced data tables for Great Britain and at times the UK. Similar information for devolved administrations are available at https://www.firescotland.gov.uk/about/statistics/" class="govuk-link">Scotland: Fire and Rescue Statistics, https://statswales.gov.wales/Catalogue/Community-Safety-and-Social-Inclusion/Community-Safety" class="govuk-link">Wales: Community safety and https://www.nifrs.org/home/about-us/publications/" class="govuk-link">Northern Ireland: Fire and Rescue Statistics.

    If you use assistive technology (for example, a screen reader) and need a version of any of these documents in a more accessible format, please email alternativeformats@homeoffice.gov.uk. Please tell us what format you need. It will help us if you say what assistive technology you use.

    Related content

    Fire statistics guidance
    Fire statistics incident level datasets

    Incidents attended

    https://assets.publishing.service.gov.uk/media/67fe79e3393a986ec5cf8dbe/FIRE0101.xlsx">FIRE0101: Incidents attended by fire and rescue services by nation and population (MS Excel Spreadsheet, 126 KB) Previous FIRE0101 tables

    https://assets.publishing.service.gov.uk/media/67fe79fbed87b81608546745/FIRE0102.xlsx">FIRE0102: Incidents attended by fire and rescue services in England, by incident type and fire and rescue authority (MS Excel Spreadsheet, 1.56 MB) Previous FIRE0102 tables

    https://assets.publishing.service.gov.uk/media/67fe7a20694d57c6b1cf8db0/FIRE0103.xlsx">FIRE0103: Fires attended by fire and rescue services by nation and population (MS Excel Spreadsheet, 156 KB) Previous FIRE0103 tables

    https://assets.publishing.service.gov.uk/media/67fe7a40ed87b81608546746/FIRE0104.xlsx">FIRE0104: Fire false alarms by reason for false alarm, England (MS Excel Spreadsheet, 331 KB) Previous FIRE0104 tables

    Dwelling fires attended

    https://assets.publishing.service.gov.uk/media/67fe7a5f393a986ec5cf8dc0/FIRE0201.xlsx">FIRE0201: Dwelling fires attended by fire and rescue services by motive, population and nation (MS Excel Spreadsheet, <span class="gem-c-attachm

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

    • health.data.ny.gov
    application/rdfxml +5
    Updated Oct 6, 2023
    + more versions
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    New York State Department of Health (2023). New York State Statewide COVID-19 Fatalities by Age Group (Archived) [Dataset]. https://health.data.ny.gov/Health/New-York-State-Statewide-COVID-19-Fatalities-by-Ag/du97-svf7
    Explore at:
    application/rssxml, tsv, csv, json, xml, application/rdfxmlAvailable download formats
    Dataset updated
    Oct 6, 2023
    Dataset authored and provided by
    New York State Department of Health
    Area covered
    New York
    Description

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

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

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

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

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

  9. Weekly United States COVID-19 Cases and Deaths by State - ARCHIVED

    • healthdata.gov
    • data.virginia.gov
    application/rdfxml +5
    Updated Oct 21, 2022
    + more versions
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    data.cdc.gov (2022). Weekly United States COVID-19 Cases and Deaths by State - ARCHIVED [Dataset]. https://healthdata.gov/w/hiqp-x67x/default?cur=_65-WvB31Cw
    Explore at:
    application/rssxml, application/rdfxml, csv, xml, json, tsvAvailable download formats
    Dataset updated
    Oct 21, 2022
    Dataset provided by
    data.cdc.gov
    Area covered
    United States
    Description

    Reporting of new Aggregate Case and Death Count data was discontinued May 11, 2023, with the expiration of the COVID-19 public health emergency declaration. This dataset will receive a final update on June 1, 2023, to reconcile historical data through May 10, 2023, and will remain publicly available.

    Aggregate Data Collection Process Since the start of the COVID-19 pandemic, data have been gathered through a robust process with the following steps:

    • A CDC data team reviews and validates the information obtained from jurisdictions’ state and local websites via an overnight data review process.
    • If more than one official county data source exists, CDC uses a comprehensive data selection process comparing each official county data source, and takes the highest case and death counts respectively, unless otherwise specified by the state.
    • CDC compiles these data and posts the finalized information on COVID Data Tracker.
    • County level data is aggregated to obtain state and territory specific totals.
    This process is collaborative, with CDC and jurisdictions working together to ensure the accuracy of COVID-19 case and death numbers. County counts provide the most up-to-date numbers on cases and deaths by report date. CDC may retrospectively update counts to correct data quality issues.

    Methodology Changes Several differences exist between the current, weekly-updated dataset and the archived version:

    • Source: The current Weekly-Updated Version is based on county-level aggregate count data, while the Archived Version is based on State-level aggregate count data.
    • Confirmed/Probable Cases/Death breakdown:  While the probable cases and deaths are included in the total case and total death counts in both versions (if applicable), they were reported separately from the confirmed cases and deaths by jurisdiction in the Archived Version.  In the current Weekly-Updated Version, the counts by jurisdiction are not reported by confirmed or probable status (See Confirmed and Probable Counts section for more detail).
    • Time Series Frequency: The current Weekly-Updated Version contains weekly time series data (i.e., one record per week per jurisdiction), while the Archived Version contains daily time series data (i.e., one record per day per jurisdiction).
    • Update Frequency: The current Weekly-Updated Version is updated weekly, while the Archived Version was updated twice daily up to October 20, 2022.
    Important note: The counts reflected during a given time period in this dataset may not match the counts reflected for the same time period in the archived dataset noted above. Discrepancies may exist due to differences between county and state COVID-19 case surveillance and reconciliation efforts.

    Confirmed and Probable Counts In this dataset, counts by jurisdiction are not displayed by confirmed or probable status. Instead, confirmed and probable cases and deaths are included in the Total Cases and Total Deaths columns, when available. Not all jurisdictions report probable cases and deaths to CDC.* Confirmed and probable case definition criteria are described here:

    Council of State and Territorial Epidemiologists (ymaws.com).

    Deaths CDC reports death data on other sections of the website: CDC COVID Data Tracker: Home, CDC COVID Data Tracker: Cases, Deaths, and Testing, and NCHS Provisional Death Counts. Information presented on the COVID Data Tracker pages is based on the same source (to

  10. MonthlyCounts.of.Deaths.by.SelectCauses(2014-2023)

    • kaggle.com
    Updated Jan 4, 2025
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    Fereshteh Jozaghkar (2025). MonthlyCounts.of.Deaths.by.SelectCauses(2014-2023) [Dataset]. https://www.kaggle.com/datasets/fereshtehjozaghkar/monthlycounts-of-deaths-by-selectcauses2014-2023/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 4, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Fereshteh Jozaghkar
    License

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

    Description

    Understanding the causes of death is essential for society as it provides valuable insights into public health challenges and overall well-being. Analyzing mortality data helps identify the leading causes of death, emerging health threats, and disparities among different demographics. This process enables evidence-based policymaking and effective resource allocation.

    For governments, such data supports the design of targeted interventions, facilitates health infrastructure planning, and helps prioritize funding for preventive measures. Health departments use this information to develop programs aimed at reducing preventable deaths, improving healthcare access, and raising awareness about lifestyle factors that influence mortality.

  11. Deaths registered weekly, by sex and age

    • cbs.nl
    • dexes.eu
    • +1more
    xml
    Updated Jun 3, 2025
    + more versions
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    Centraal Bureau voor de Statistiek (2025). Deaths registered weekly, by sex and age [Dataset]. https://www.cbs.nl/en-gb/figures/detail/70895ENG
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    xmlAvailable download formats
    Dataset updated
    Jun 3, 2025
    Dataset provided by
    cbs.nl
    Authors
    Centraal Bureau voor de Statistiek
    License

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

    Area covered
    The Netherlands
    Description

    This table contains provisional data on the number of deaths among the population of the Netherlands.

    The data can be broken down by gender and age group.

    Data available from: 1971

    Status of the figures: The figures for the years 1971 to 2024 inclusive are final. The figures as of 2025 are provisional. These figures may change with each renewal of the publication due to the fact that death registrations received later are still included. As this method is different from the method used for monthly mortality figures, minor discrepancies may occur.

    Changes as of 3 June 2025: The provisional figures of week 19 and 20 of 2025 and final figures of 2024 have been added.

    When will new figures be published? The table will be updated once every two weeks with provisional figures of the two weeks before the current week number minus one. Publication is usually delayed around public holidays.

  12. T

    Spain Coronavirus COVID-19 Deaths

    • tradingeconomics.com
    csv, excel, json, xml
    + more versions
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    TRADING ECONOMICS, Spain Coronavirus COVID-19 Deaths [Dataset]. https://tradingeconomics.com/spain/coronavirus-deaths
    Explore at:
    xml, csv, json, excelAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 31, 2020 - May 17, 2023
    Area covered
    Spain
    Description

    Spain recorded 120964 Coronavirus Deaths since the epidemic began, according to the World Health Organization (WHO). In addition, Spain reported 13845825 Coronavirus Cases. This dataset includes a chart with historical data for Spain Coronavirus Deaths.

  13. Deaths by medical end-of-life decision; age, cause of death

    • cbs.nl
    • staging.dexes.eu
    • +1more
    xml
    Updated May 31, 2023
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    Centraal Bureau voor de Statistiek (2023). Deaths by medical end-of-life decision; age, cause of death [Dataset]. https://www.cbs.nl/en-gb/figures/detail/81655ENG
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    xmlAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    Statistics Netherlands
    Authors
    Centraal Bureau voor de Statistiek
    License

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

    Area covered
    The Netherlands
    Description

    The survey of medical end-of-life decisions presents information on medical end-of-life decisions by attending physicians. For this survey, a random sample is taken from death certificates at Statistics Netherlands on persons listed in the Dutch population register who died in the months August to November inclusive of the survey year. The sample is raised to an annual figure.

    This table concerns deaths by medical end-of-life decisions, cause of death and age.

    Data available from: 2010, 2015 and 2021

    Status of the figures: All data are definite.

    Changes as of 26 May 2023: - Figures for 2021 have been added. - In 2021, there were 96 deceased persons with unknown 'medical end-of-life'. These were only added to the total. The underlying numbers therefore do not add up to the total.

    When will new figures be published? The survey takes place every five years. In 2020, the survey was postponed by one year due to the high workload in the healthcare sector on account of COVID-19. As a result, there is a one-off six-year interval between 2015 and 2021.

  14. T

    Hungary Coronavirus COVID-19 Deaths

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Dec 15, 2022
    + more versions
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    TRADING ECONOMICS (2022). Hungary Coronavirus COVID-19 Deaths [Dataset]. https://tradingeconomics.com/hungary/coronavirus-deaths
    Explore at:
    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    Dec 15, 2022
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 4, 2020 - May 17, 2023
    Area covered
    Hungary
    Description

    Hungary recorded 48775 Coronavirus Deaths since the epidemic began, according to the World Health Organization (WHO). In addition, Hungary reported 2202179 Coronavirus Cases. This dataset includes a chart with historical data for Hungary Coronavirus Deaths.

  15. d

    MD COVID-19 - Total Confirmed Deaths by Date of Death

    • catalog.data.gov
    • opendata.maryland.gov
    • +2more
    Updated Jun 7, 2025
    + more versions
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    opendata.maryland.gov (2025). MD COVID-19 - Total Confirmed Deaths by Date of Death [Dataset]. https://catalog.data.gov/dataset/md-covid-19-total-confirmed-deaths-by-date-of-death
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    Dataset updated
    Jun 7, 2025
    Dataset provided by
    opendata.maryland.gov
    Area covered
    Maryland
    Description

    Note: Starting April 27, 2023 updates change from daily to weekly. Summary The cumulative number of confirmed COVID-19 deaths among Maryland residents, by date of death. Description The MD COVID-19 - Total Confirmed Deaths by Date of Death data layer is a collection of the statewide confirmed COVID-19 related deaths that have been reported each day by the Vital Statistics Administration by date of death. A death is classified as confirmed if the person had a laboratory-confirmed positive COVID-19 test result. Some data on deaths may be unavailable due to the time lag between the death, typically reported by a hospital or other facility, and the submission of the complete death certificate. Probable deaths are available from the MD COVID-19 - Total Probable Deaths by Date of Death data layer. Terms of Use The Spatial Data, and the information therein, (collectively the "Data") is provided "as is" without warranty of any kind, either expressed, implied, or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted, nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct, indirect, incidental, consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data, nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.

  16. D

    Deaths; underlying cause of death (shortlist), sex, age

    • dexes.eu
    atom, json
    Updated Jun 6, 2025
    + more versions
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    Centraal Bureau voor de Statistiek (2025). Deaths; underlying cause of death (shortlist), sex, age [Dataset]. https://dexes.eu/en/dataset/2-deaths-underlying-cause-of-death-shortlist-sex-age
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    atom, jsonAvailable download formats
    Dataset updated
    Jun 6, 2025
    Dataset authored and provided by
    Centraal Bureau voor de Statistiek
    License

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

    Description

    This table contains the number of deaths in the population of the Netherlands by underlying cause of death (short list), sex and age-group (at time of death). Since 2013 Statistics Netherlands is using Iris software for automatic coding for cause of death. This improved the international comparison of the data. The change in coding did cause a considerable shift in the statistic. Since 2013 the (yearly) ICD-10 updates are applied. Data available from: 1950 Status of the figures: The figures for 2023 are provisional, all other figures are final. Changes as of July 18th 2024: The provisional figures for 2023 have been added. Changes as of February 14th 2024: A correction has been implemented concerning the average population for the years 2015 and 2016, there was a shift in all age categories. Changes as of December 11th 2023: - The final figures of 2022 have been added. - Due to a change in the allocation of codes in group 17, external causes, there have been several shifts in the groups 17.1, 17.1.1, 17.1.1.2, 1.1.5 and 17.5 in the years 1996 to 2021. These are Sequelae of transport accidents, suicide and homicide. - Furthermore a correction has been implemented concerning the years 1996 to 2002, which involved some shifts in the age categories, sex and cause of death. The changes concerned >5 persons per year. When will new figures be published? The aim is to publish final figures for 2023 in the fourth quarter of 2024.

  17. Deaths; suicide (residents), various themes

    • cbs.nl
    • dexes.eu
    • +2more
    xml
    Updated Jan 23, 2025
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    Centraal Bureau voor de Statistiek (2025). Deaths; suicide (residents), various themes [Dataset]. https://www.cbs.nl/en-gb/figures/detail/7022eng
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    xmlAvailable download formats
    Dataset updated
    Jan 23, 2025
    Dataset provided by
    cbs.nl
    Authors
    Centraal Bureau voor de Statistiek
    License

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

    Time period covered
    1950 - 2023
    Area covered
    The Netherlands
    Description

    This table contains the number of victims of suicide arranged by marital status, method, motives, age and sex. They represent the number deaths by suicide in the resident population of the Netherlands.

    The figures in this table are equal to the suicide figures in the causes of death statistics, because they are based on the same files. The causes of death statistics do not contain information on the motive of suicide. For the years 1950-1995, this information is obtained from a historical data file on suicides. For the years 1996-now the motive is taken from the external causes of death (Niet-Natuurlijke dood) file. Before the 9th revision of the International Statistical Classification of Diseases and Related Health Problems (ICD), i.e. for the years 1950-1978, it was not possible to code "jumping in front of train/metro". For these years 1950-1978 "jumping in front of train/metro" has been left empty, and it has been counted in the group "other method".

    Relative figures have been calculated per 100 000 of the corresponding population group. The figures are calculated based on the average population of the corresponding year.

    Data available from: 1950

    Status of the figures: The figures up to and including 2023 are final.

    Changes as of January 23rd 2025: The figures for 2023 are made final.

    When will new figures be published: In the third quarter of 2025 the provisional figures for 2024 will be published.

  18. T

    United States Coronavirus COVID-19 Cases

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Dec 15, 2023
    + more versions
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    TRADING ECONOMICS (2023). United States Coronavirus COVID-19 Cases [Dataset]. https://tradingeconomics.com/united-states/coronavirus-cases
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    json, excel, xml, csvAvailable download formats
    Dataset updated
    Dec 15, 2023
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 2020 - May 17, 2023
    Area covered
    United States
    Description

    United States recorded 103436829 Coronavirus Cases since the epidemic began, according to the World Health Organization (WHO). In addition, United States reported 1127152 Coronavirus Deaths. This dataset includes a chart with historical data for the United States Coronavirus Cases.

  19. T

    Kenya Coronavirus COVID-19 Cases

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 5, 2020
    + more versions
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    TRADING ECONOMICS (2020). Kenya Coronavirus COVID-19 Cases [Dataset]. https://tradingeconomics.com/kenya/coronavirus-cases
    Explore at:
    csv, excel, json, xmlAvailable download formats
    Dataset updated
    Mar 5, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 4, 2020 - May 17, 2023
    Area covered
    Kenya
    Description

    Kenya recorded 343074 Coronavirus Cases since the epidemic began, according to the World Health Organization (WHO). In addition, Kenya reported 5668 Coronavirus Deaths. This dataset includes a chart with historical data for Kenya Coronavirus Cases.

  20. Deaths; cause of death (extensive list), age and sex

    • cbs.nl
    • dexes.eu
    • +2more
    xml
    Updated Feb 14, 2025
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    Centraal Bureau voor de Statistiek (2025). Deaths; cause of death (extensive list), age and sex [Dataset]. https://www.cbs.nl/en-gb/figures/detail/7233ENG
    Explore at:
    xmlAvailable download formats
    Dataset updated
    Feb 14, 2025
    Dataset provided by
    Statistics Netherlands
    Authors
    Centraal Bureau voor de Statistiek
    License

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

    Time period covered
    1996 - 2023
    Area covered
    The Netherlands
    Description

    This table contains the number of deaths in the population of the Netherlands by underlying cause of death. The causes of death are shown according to the extensive list of 'three digit codes', by age and sex.

    Since 2013 Statistics Netherlands is using Iris software for automatic coding for cause of death. This improved the international comparison of the data. The change in coding did cause a considerable shift in the statistic. Since 2013 the (yearly) ICD-10 updates are applied.

    Data available from: 1996

    Status of the figures: All figures are final.

    Changes as of February 14th 2025: For 2023 one death by 'Acute poliomyelitis (A80)' is moved to 'Sequelae of poliomyelitis (B91)'.

    When will new figures be published? The aim is to publish the provisional figures of 2024 in the third quarter of 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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Statewide Death Profiles

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2 scholarly articles cite this dataset (View in Google Scholar)
csv(2026589), csv(200270), csv(5034), csv(5401561), csv(164006), csv(4689434), zip, csv(342763), csv(419332)Available download formats
Dataset updated
May 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.

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