100+ datasets found
  1. Top ten causes of global deaths 2019

    • statista.com
    • ai-chatbox.pro
    Updated Nov 24, 2022
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    Statista (2022). Top ten causes of global deaths 2019 [Dataset]. https://www.statista.com/statistics/311925/top-ten-causes-of-death-worldwide/
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    Dataset updated
    Nov 24, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    Worldwide
    Description

    In 2019, the leading causes of death worldwide were ischemic heart disease, stroke, and chronic obstructive pulmonary disease (COPD). That year, ischemic heart disease and stroke accounted for a combined 27 percent of all deaths worldwide. Although the leading causes of death worldwide vary by region and country, heart disease is a consistent leading cause of death regardless of income, development, size, or location.

    Heart disease In 2019, around 8.89 million people worldwide died from ischemic heart disease. In comparison, around 1.78 million people died from lung cancer that year, while 1.5 million died from diabetes. The countries with the highest rates of death due to heart attack and other ischemic heart diseases are Lithuania, Russia, and Hungary. Although some risk factors for heart disease, such as age and genetics, are unmodifiable, the likelihood of developing heart disease can be greatly reduced through a healthy lifestyle. The biggest modifiable risk factors for heart disease include smoking, an unhealthy diet, being overweight, and a lack of exercise. In 2019, it was estimated that around two million deaths worldwide due to ischemic heart disease could be attributed to smoking.

    The leading causes of death in the United States Just as it is the leading cause of death worldwide, heart disease is also the leading cause of death in the United States. In 2020, heart disease accounted for almost 21 percent of all deaths in the United States. Cancer was the second leading cause of death in the U.S. that year, followed by COVID-19. As of 2020, the odds that a person in the United States will die from heart disease is 1 in 6. However, rates of death due to heart disease have actually declined in the U.S. over the past couple decades. From 2000 to 2019, there was a 7.3 percent decline in heart disease deaths. On the other hand, deaths from Alzheimer’s disease saw an increase of 145 percent over this period. Alzheimer’s disease is currently the seventh leading cause of death in the United States, accounting for 32.4 deaths per 100,000 population in 2020.

  2. Rates of the leading causes of death worldwide in 2021

    • statista.com
    • ai-chatbox.pro
    Updated Aug 23, 2024
    + more versions
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    Statista (2024). Rates of the leading causes of death worldwide in 2021 [Dataset]. https://www.statista.com/statistics/1480277/rates-of-the-leading-causes-of-death-in-worldwide/
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    Dataset updated
    Aug 23, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    Worldwide
    Description

    In 2021, ischemic heart disease and COVID-19 were the leading causes of death worldwide, reaching around 114 and 110 deaths per 100,000 population, respectively. This statistic shows the rates of the 10 leading causes of death around the world in 2021.

  3. M

    World Death Rate (1950-2025)

    • macrotrends.net
    csv
    Updated May 31, 2025
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    MACROTRENDS (2025). World Death Rate (1950-2025) [Dataset]. https://www.macrotrends.net/global-metrics/countries/wld/world/death-rate
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    csvAvailable download formats
    Dataset updated
    May 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Area covered
    world, World
    Description
    World death rate for 2025 is 7.80, a 0.59% increase from 2024.
    <ul style='margin-top:20px;'>
    
    <li>World death rate for 2024 was <strong>7.76</strong>, a <strong>2.35% increase</strong> from 2023.</li>
    <li>World death rate for 2023 was <strong>7.58</strong>, a <strong>1.68% decline</strong> from 2022.</li>
    <li>World death rate for 2022 was <strong>7.71</strong>, a <strong>11.54% decline</strong> from 2021.</li>
    </ul>Crude death rate indicates the number of deaths occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.
    
  4. Death Profiles by Leading Causes of Death

    • data.ca.gov
    • data.chhs.ca.gov
    • +3more
    web link, zip
    Updated Apr 22, 2025
    + more versions
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    California Department of Public Health (2025). Death Profiles by Leading Causes of Death [Dataset]. https://data.ca.gov/dataset/death-profiles-by-leading-causes-of-death
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    web link, zipAvailable download formats
    Dataset updated
    Apr 22, 2025
    Dataset authored and provided by
    California Department of Public Healthhttps://www.cdph.ca.gov/
    License

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

    Description

    Data for deaths by leading cause of death categories are now available in the death profiles dataset for each geographic granularity.

    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.

    Cause of death categories for years 1999 and later are based on tenth revision of International Classification of Diseases (ICD-10) codes. Comparable categories are provided for years 1979 through 1998 based on ninth revision (ICD-9) codes. For more information on the comparability of cause of death classification between ICD revisions see Comparability of Cause-of-death Between ICD Revisions.

  5. Leading causes of death worldwide in 2021

    • statista.com
    Updated Oct 14, 2024
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    Statista (2024). Leading causes of death worldwide in 2021 [Dataset]. https://www.statista.com/statistics/1488587/leading-causes-of-death-worldwide-2021/
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    Dataset updated
    Oct 14, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    Worldwide
    Description

    In 2021, the leading causes of death worldwide were ischemic heart disease, COVID-19, and stroke. That year, ischemic heart disease caused over nine million deaths, while COVID-19 resulted in 8.7 million deaths. In 2019, just before the COVID-19 pandemic, the leading causes of death worldwide were ischemic heart disease, stroke, and chronic obstructive pulmonary disease (COPD).

  6. C

    Chad TD: Cause of Death: by Injury: % of Total

    • ceicdata.com
    • dr.ceicdata.com
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    CEICdata.com, Chad TD: Cause of Death: by Injury: % of Total [Dataset]. https://www.ceicdata.com/en/chad/social-health-statistics
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    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
    Dec 1, 2000 - Dec 1, 2019
    Area covered
    Chad
    Description

    TD: Cause of Death: by Injury: % of Total data was reported at 9.567 % in 2019. This records an increase from the previous number of 8.728 % for 2015. TD: Cause of Death: by Injury: % of Total data is updated yearly, averaging 8.059 % from Dec 2000 (Median) to 2019, with 4 observations. The data reached an all-time high of 9.567 % in 2019 and a record low of 6.979 % in 2000. TD: Cause of Death: by Injury: % of Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chad – Table TD.World Bank.WDI: Social: Health Statistics. Cause of death refers to the share of all deaths for all ages by underlying causes. Injuries include unintentional and intentional injuries.;Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death;Weighted average;

  7. Leading causes of death worldwide in 2019

    • statista.com
    Updated Aug 22, 2024
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    Statista (2024). Leading causes of death worldwide in 2019 [Dataset]. https://www.statista.com/statistics/288839/leading-causes-of-death-worldwide/
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    Dataset updated
    Aug 22, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    Worldwide
    Description

    In 2019, the leading causes of death globally included ischemic heart disease, stroke and chronic obstructive pulmonary disease (COPD). There were 8.89 million deaths from ischemic heart disease at that time and about 6.19 million deaths caused by stroke. In recent history, increases in life expectancy, increases in population and better standards of living have changed the leading causes of death over time.

    Non-Communicable Disease Deaths

    The number of deaths due to non-communicable diseases has remained relatively stable in recent years. A large majority of non-communicable or chronic disease deaths globally were caused by cardiovascular diseases, followed by cancer. Various lifestyle choices cause or exacerbate many of these chronic diseases. Drinking, smoking and lack of exercise can contribute to higher rates of non-communicable diseases and early death. A 2018 report indicated that the relative risk of death before the age of 65 was 24 times greater among those that smoked and never quit.

    Infectious Disease Deaths

    Trends indicate that the number of deaths due to infectious diseases have decreased in recent years. However, infectious diseases still disproportionately impact low- and middle-income countries. In 2016, tuberculosis, malaria and HIV/AIDS were still among the leading causes of death in low-income countries. However, the leading causes of death in upper income countries are almost exclusively non-communicable, chronic conditions.

  8. G

    Germany DE: Cause of Death: by Non-Communicable Diseases: % of Total

    • ceicdata.com
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    CEICdata.com, Germany DE: Cause of Death: by Non-Communicable Diseases: % of Total [Dataset]. https://www.ceicdata.com/en/germany/social-health-statistics/de-cause-of-death-by-noncommunicable-diseases--of-total
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    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
    Dec 1, 2000 - Dec 1, 2019
    Area covered
    Germany
    Description

    Germany DE: Cause of Death: by Non-Communicable Diseases: % of Total data was reported at 90.598 % in 2019. This records a decrease from the previous number of 91.046 % for 2015. Germany DE: Cause of Death: by Non-Communicable Diseases: % of Total data is updated yearly, averaging 91.273 % from Dec 2000 (Median) to 2019, with 4 observations. The data reached an all-time high of 91.869 % in 2000 and a record low of 90.598 % in 2019. Germany DE: Cause of Death: by Non-Communicable Diseases: % of Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Germany – Table DE.World Bank.WDI: Social: Health Statistics. Cause of death refers to the share of all deaths for all ages by underlying causes. Non-communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.;Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death;Weighted average;

  9. United States US: Mortality from CVD, Cancer, Diabetes or CRD between Exact...

    • ceicdata.com
    Updated Mar 29, 2018
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    CEICdata.com (2018). United States US: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female [Dataset]. https://www.ceicdata.com/en/united-states/health-statistics
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    Dataset updated
    Mar 29, 2018
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2000 - Dec 1, 2016
    Area covered
    United States
    Description

    US: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data was reported at 11.800 NA in 2016. This records an increase from the previous number of 11.600 NA for 2015. US: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data is updated yearly, averaging 11.800 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 14.600 NA in 2000 and a record low of 11.600 NA in 2015. US: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Health Statistics. Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;

  10. Leading causes of death, total population, by age group

    • www150.statcan.gc.ca
    • open.canada.ca
    Updated Feb 19, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Leading causes of death, total population, by age group [Dataset]. http://doi.org/10.25318/1310039401-eng
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    Dataset updated
    Feb 19, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Rank, number of deaths, percentage of deaths, and age-specific mortality rates for the leading causes of death, by age group and sex, 2000 to most recent year.

  11. M

    U.S. Death Rate (1950-2025)

    • macrotrends.net
    csv
    Updated May 31, 2025
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    MACROTRENDS (2025). U.S. Death Rate (1950-2025) [Dataset]. https://www.macrotrends.net/global-metrics/countries/usa/united-states/death-rate
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    csvAvailable download formats
    Dataset updated
    May 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    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
    U.S. death rate for 2025 is 9.28, a 0.59% increase from 2024.
    <ul style='margin-top:20px;'>
    
    <li>U.S. death rate for 2024 was <strong>9.23</strong>, a <strong>0.28% increase</strong> from 2023.</li>
    <li>U.S. death rate for 2023 was <strong>9.20</strong>, a <strong>6.12% decline</strong> from 2022.</li>
    <li>U.S. death rate for 2022 was <strong>9.80</strong>, a <strong>5.77% decline</strong> from 2021.</li>
    </ul>Crude death rate indicates the number of deaths occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.
    
  12. f

    Projections of Global Mortality and Burden of Disease from 2002 to 2030

    • plos.figshare.com
    doc
    Updated Jun 2, 2023
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    Colin D Mathers; Dejan Loncar (2023). Projections of Global Mortality and Burden of Disease from 2002 to 2030 [Dataset]. http://doi.org/10.1371/journal.pmed.0030442
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    docAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOS Medicine
    Authors
    Colin D Mathers; Dejan Loncar
    License

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

    Description

    BackgroundGlobal and regional projections of mortality and burden of disease by cause for the years 2000, 2010, and 2030 were published by Murray and Lopez in 1996 as part of the Global Burden of Disease project. These projections, which are based on 1990 data, continue to be widely quoted, although they are substantially outdated; in particular, they substantially underestimated the spread of HIV/AIDS. To address the widespread demand for information on likely future trends in global health, and thereby to support international health policy and priority setting, we have prepared new projections of mortality and burden of disease to 2030 starting from World Health Organization estimates of mortality and burden of disease for 2002. This paper describes the methods, assumptions, input data, and results. Methods and FindingsRelatively simple models were used to project future health trends under three scenarios—baseline, optimistic, and pessimistic—based largely on projections of economic and social development, and using the historically observed relationships of these with cause-specific mortality rates. Data inputs have been updated to take account of the greater availability of death registration data and the latest available projections for HIV/AIDS, income, human capital, tobacco smoking, body mass index, and other inputs. In all three scenarios there is a dramatic shift in the distribution of deaths from younger to older ages and from communicable, maternal, perinatal, and nutritional causes to noncommunicable disease causes. The risk of death for children younger than 5 y is projected to fall by nearly 50% in the baseline scenario between 2002 and 2030. The proportion of deaths due to noncommunicable disease is projected to rise from 59% in 2002 to 69% in 2030. Global HIV/AIDS deaths are projected to rise from 2.8 million in 2002 to 6.5 million in 2030 under the baseline scenario, which assumes coverage with antiretroviral drugs reaches 80% by 2012. Under the optimistic scenario, which also assumes increased prevention activity, HIV/AIDS deaths are projected to drop to 3.7 million in 2030. Total tobacco-attributable deaths are projected to rise from 5.4 million in 2005 to 6.4 million in 2015 and 8.3 million in 2030 under our baseline scenario. Tobacco is projected to kill 50% more people in 2015 than HIV/AIDS, and to be responsible for 10% of all deaths globally. The three leading causes of burden of disease in 2030 are projected to include HIV/AIDS, unipolar depressive disorders, and ischaemic heart disease in the baseline and pessimistic scenarios. Road traffic accidents are the fourth leading cause in the baseline scenario, and the third leading cause ahead of ischaemic heart disease in the optimistic scenario. Under the baseline scenario, HIV/AIDS becomes the leading cause of burden of disease in middle- and low-income countries by 2015. ConclusionsThese projections represent a set of three visions of the future for population health, based on certain explicit assumptions. Despite the wide uncertainty ranges around future projections, they enable us to appreciate better the implications for health and health policy of currently observed trends, and the likely impact of fairly certain future trends, such as the ageing of the population, the continued spread of HIV/AIDS in many regions, and the continuation of the epidemiological transition in developing countries. The results depend strongly on the assumption that future mortality trends in poor countries will have a relationship to economic and social development similar to those that have occurred in the higher-income countries.

  13. C

    Cambodia KH: Cause of Death: by Communicable Diseases & Maternal, Prenatal &...

    • ceicdata.com
    Updated Nov 27, 2021
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    CEICdata.com (2021). Cambodia KH: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total [Dataset]. https://www.ceicdata.com/en/cambodia/social-health-statistics/kh-cause-of-death-by-communicable-diseases--maternal-prenatal--nutrition-conditions--of-total
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    Dataset updated
    Nov 27, 2021
    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
    Dec 1, 2000 - Dec 1, 2019
    Area covered
    Cambodia
    Description

    Cambodia KH: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total data was reported at 23.034 % in 2019. This records a decrease from the previous number of 27.078 % for 2015. Cambodia KH: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total data is updated yearly, averaging 30.154 % from Dec 2000 (Median) to 2019, with 4 observations. The data reached an all-time high of 52.752 % in 2000 and a record low of 23.034 % in 2019. Cambodia KH: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Cambodia – Table KH.World Bank.WDI: Social: Health Statistics. Cause of death refers to the share of all deaths for all ages by underlying causes. Communicable diseases and maternal, prenatal and nutrition conditions include infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.;Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death;Weighted average;

  14. C

    Death Profiles by County

    • data.chhs.ca.gov
    • data.ca.gov
    • +3more
    csv, zip
    Updated Apr 28, 2025
    + more versions
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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(28125832), csv(60517511), csv(75015194), csv(60201673), csv(60676655), csv(74351424), csv(52019564), csv(60023260), csv(74689382), csv(51592721), csv(73906266), csv(15127221), csv(1128641), csv(5095), csv(11738570), csv(20228411), zip, csv(74043128), csv(24235858), csv(74497014)Available download formats
    Dataset updated
    Apr 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.

  15. g

    Cross-National Statistics on the Causes of Death, 1966-1974 - Archival...

    • search.gesis.org
    Updated Feb 26, 2021
    + more versions
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    United Nations (2021). Cross-National Statistics on the Causes of Death, 1966-1974 - Archival Version [Dataset]. http://doi.org/10.3886/ICPSR07624
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    Dataset updated
    Feb 26, 2021
    Dataset provided by
    ICPSR - Interuniversity Consortium for Political and Social Research
    GESIS search
    Authors
    United Nations
    License

    https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de441841https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de441841

    Description

    Abstract (en): These data are a collection of demographic statistics for the populations of 125 countries or areas throughout the world, prepared by the Statistical Office of the United Nations. The units of analysis are both country and data year. The primary source of data is a set of questionnaires sent monthly and annually to national statistical services and other appropriate government offices. Data include statistics on approximately 50 types of causes of death for the years 1966 through 1974 for males, females, and total populations. Causes of death in 125 countries or areas throughout the world between the years 1966 and 1974. 2005-11-04 On 2005-03-14 new files were added to one or more datasets. These files included additional setup files as well as one or more of the following: SAS program, SAS transport, SPSS portable, and Stata system files. The metadata record was revised 2005-11-04 to reflect these additions. The causes of death are classified according to the 6th, 7th, and 8th versions of an abbreviated list of the World Health Organization's INTERNATIONAL STATISTICAL CLASSIFICATION OF DISEASES, INJURIES, AND CAUSES OF DEATH. Therefore, data for causes of death are not necessarily comparable across countries or data years. Users should refer to Variable 5 in the Variable List for full discussion of this problem. Users interested in comparing deaths for countries or years that use different versions of the Abbreviated list should consult two publications: A. Joan Klebba, and Alice B. Dolman. COMPARABILITY OF MORTALITY STATISTICS FOR THE SEVENTH AND EIGHTH REVISIONS OF THE INTERNATIONAL CLASSIFICATION OF DISEASES, UNITED STATES. Rockville, MD: United States Department of Health, Education, and Welfare. Public Health Service. Health Services and Mental Health Administration. National Center for Health Statistics, 1975, and World Health Organization. MANUAL OF THE INTERNATIONAL STATISTICAL CLASSIFICATION OF DISEASES, INJURIES, AND CAUSES OF DEATH. Geneva, Switzerland: World Health Organization, 1967.The user should note that countries have data covering a variety of time spans (the maximum span being 1965-1973), and the data have not been padded to supply missing data codes for those years for which a country does not have data. Thus, Egypt has data for years 1965 through 1972, while Kenya has data for only 1970. (See Appendix D in the codebook to determine the years for which a country has data.)It is important that any user of these data consult the United Nations' DEMOGRAPHIC YEARBOOK, 1976, for further explanation of the data's limitations. Certain countries have modified reporting procedures which are presented in both the footnotes and the technical notes accompanying the tables in the Yearbook. There is no way to identify these problems using only the machine-readable data.In order to eliminate unnecessary repetition of identifying information, data were merged so that each record now contains all the data for a country for one particular year. In this process, breakdowns of deaths by ethnic group and/or urban/rural classification were omitted since only a few countries provided such information. Each record now contains the data for the number of deaths from each cause of death for male, female, and total.While the data appear to be in a rectangular matrix, such is not the case. This occurs because different versions of the abbreviated list are referenced in different data years. The lack of a rectangular data matrix does little to restrict the manageability of the dataset. See codebook for examples.While the data have been reformatted and documented by ICPSR staff, there has been no attempt to verify the accuracy and consistency of the data received from the U.N. Statistical Office.

  16. A

    Azerbaijan AZ: Cause of Death: by Non-Communicable Diseases: % of Total

    • ceicdata.com
    • dr.ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Azerbaijan AZ: Cause of Death: by Non-Communicable Diseases: % of Total [Dataset]. https://www.ceicdata.com/en/azerbaijan/social-health-statistics/az-cause-of-death-by-noncommunicable-diseases--of-total
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    Dataset updated
    Jan 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
    Dec 1, 2000 - Dec 1, 2019
    Area covered
    Azerbaijan
    Description

    Azerbaijan Cause of Death: by Non-Communicable Diseases: % of Total data was reported at 90.248 % in 2019. This records an increase from the previous number of 88.196 % for 2015. Azerbaijan Cause of Death: by Non-Communicable Diseases: % of Total data is updated yearly, averaging 86.578 % from Dec 2000 (Median) to 2019, with 4 observations. The data reached an all-time high of 90.248 % in 2019 and a record low of 76.055 % in 2000. Azerbaijan Cause of Death: by Non-Communicable Diseases: % of Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Azerbaijan – Table AZ.World Bank.WDI: Social: Health Statistics. Cause of death refers to the share of all deaths for all ages by underlying causes. Non-communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.;Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death;Weighted average;

  17. Distribution of causes of death worldwide in 2021

    • statista.com
    Updated Oct 14, 2024
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    Statista (2024). Distribution of causes of death worldwide in 2021 [Dataset]. https://www.statista.com/statistics/1493203/share-of-deaths-worldwide-by-cause-2021/
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    Dataset updated
    Oct 14, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    Worldwide
    Description

    In 2021, around 29 percent of all deaths globally were caused by cardiovascular diseases and almost 15 percent were caused by cancer. Furthermore, COVID-19 was responsible for almost 12 percent of all deaths worldwide in 2021. This statistic shows the distribution of causes of death worldwide in 2021.

  18. Rates of death for the leading causes of death in low-income countries in...

    • statista.com
    Updated Aug 23, 2024
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    Statista (2024). Rates of death for the leading causes of death in low-income countries in 2021 [Dataset]. https://www.statista.com/statistics/311934/top-ten-causes-of-death-in-low-income-countries/
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    Dataset updated
    Aug 23, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    Worldwide
    Description

    The leading cause of death in low-income countries worldwide in 2021 was lower respiratory infections, followed by stroke and ischemic heart disease. The death rate from lower respiratory infections that year was 59.4 deaths per 100,000 people. While the death rate from stroke was around 51.6 per 100,000 people. Many low-income countries suffer from health issues not seen in high-income countries, including infectious diseases, malnutrition and neonatal deaths, to name a few. Low-income countries worldwide Low-income countries are defined as those with per gross national incomes (GNI) per capita of 1,045 U.S. dollars or less. A majority of the world’s low-income countries are located in sub-Saharan Africa and South East Asia. Some of the lowest-income countries as of 2023 include Burundi, Sierra Leone, and South Sudan. Low-income countries have different health problems that lead to worse health outcomes. For example, Chad, Lesotho, and Nigeria have some of the lowest life expectancies on the planet. Health issues in low-income countries Low-income countries also tend to have higher rates of HIV/AIDS and other infectious diseases as a consequence of poor health infrastructure and a lack of qualified health workers. Eswatini, Lesotho, and South Africa have some of the highest rates of new HIV infections worldwide. Likewise, tuberculosis, a treatable condition that affects the respiratory system, has high incident rates in lower income countries. Other health issues can be affected by the income of a country as well, including maternal and infant mortality. In 2023, Afghanistan had one of the highest rates of infant mortality rates in the world.

  19. C

    Death Profiles by ZIP Code

    • data.chhs.ca.gov
    • data.ca.gov
    • +2more
    csv, zip
    Updated Apr 22, 2025
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    California Department of Public Health (2025). Death Profiles by ZIP Code [Dataset]. https://data.chhs.ca.gov/dataset/death-profiles-by-zip-code
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    csv(78958555), csv(4571), csv(40627562), csv(80055974), csv(80054609), zipAvailable download formats
    Dataset updated
    Apr 22, 2025
    Dataset authored and provided by
    California Department of Public Health
    Description

    This dataset contains counts of deaths for California residents by ZIP Code based on information entered on death certificates. Final counts are derived from static data and include out-of-state deaths of California residents. The data tables include deaths of residents of California by ZIP Code of residence (by residence). The data are reported as totals, as well as stratified by age and gender. 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.

  20. P

    World Mortality Dataset Dataset

    • paperswithcode.com
    Updated Jan 19, 2025
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    Ariel Karlinsky; Dmitry Kobak (2025). World Mortality Dataset Dataset [Dataset]. https://paperswithcode.com/dataset/world-mortality-dataset
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    Dataset updated
    Jan 19, 2025
    Authors
    Ariel Karlinsky; Dmitry Kobak
    Description

    The World Mortality Dataset contains weekly, monthly, or quarterly all-cause mortality data from 103 countries and territories. It contains country-level data on all-cause mortality in 2015–2021 collected from various sources.

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Statista (2022). Top ten causes of global deaths 2019 [Dataset]. https://www.statista.com/statistics/311925/top-ten-causes-of-death-worldwide/
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Top ten causes of global deaths 2019

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2 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Nov 24, 2022
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2019
Area covered
Worldwide
Description

In 2019, the leading causes of death worldwide were ischemic heart disease, stroke, and chronic obstructive pulmonary disease (COPD). That year, ischemic heart disease and stroke accounted for a combined 27 percent of all deaths worldwide. Although the leading causes of death worldwide vary by region and country, heart disease is a consistent leading cause of death regardless of income, development, size, or location.

Heart disease In 2019, around 8.89 million people worldwide died from ischemic heart disease. In comparison, around 1.78 million people died from lung cancer that year, while 1.5 million died from diabetes. The countries with the highest rates of death due to heart attack and other ischemic heart diseases are Lithuania, Russia, and Hungary. Although some risk factors for heart disease, such as age and genetics, are unmodifiable, the likelihood of developing heart disease can be greatly reduced through a healthy lifestyle. The biggest modifiable risk factors for heart disease include smoking, an unhealthy diet, being overweight, and a lack of exercise. In 2019, it was estimated that around two million deaths worldwide due to ischemic heart disease could be attributed to smoking.

The leading causes of death in the United States Just as it is the leading cause of death worldwide, heart disease is also the leading cause of death in the United States. In 2020, heart disease accounted for almost 21 percent of all deaths in the United States. Cancer was the second leading cause of death in the U.S. that year, followed by COVID-19. As of 2020, the odds that a person in the United States will die from heart disease is 1 in 6. However, rates of death due to heart disease have actually declined in the U.S. over the past couple decades. From 2000 to 2019, there was a 7.3 percent decline in heart disease deaths. On the other hand, deaths from Alzheimer’s disease saw an increase of 145 percent over this period. Alzheimer’s disease is currently the seventh leading cause of death in the United States, accounting for 32.4 deaths per 100,000 population in 2020.

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