100+ datasets found
  1. d

    Infant Mortality, Deaths Per 1,000 Live Births (LGHC Indicator)

    • catalog.data.gov
    • data.ca.gov
    • +3more
    Updated Jul 23, 2025
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    California Department of Public Health (2025). Infant Mortality, Deaths Per 1,000 Live Births (LGHC Indicator) [Dataset]. https://catalog.data.gov/dataset/infant-mortality-deaths-per-1000-live-births-lghc-indicator-7c03d
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    Dataset updated
    Jul 23, 2025
    Dataset provided by
    California Department of Public Health
    Description

    This is a source dataset for a Let's Get Healthy California indicator at https://letsgethealthy.ca.gov/. Infant Mortality is defined as the number of deaths in infants under one year of age per 1,000 live births. Infant mortality is often used as an indicator to measure the health and well-being of a community, because factors affecting the health of entire populations can also impact the mortality rate of infants. Although California’s infant mortality rate is better than the national average, there are significant disparities, with African American babies dying at more than twice the rate of other groups. Data are from the Birth Cohort Files. The infant mortality indicator computed from the birth cohort file comprises birth certificate information on all births that occur in a calendar year (denominator) plus death certificate information linked to the birth certificate for those infants who were born in that year but subsequently died within 12 months of birth (numerator). Studies of infant mortality that are based on information from death certificates alone have been found to underestimate infant death rates for infants of all race/ethnic groups and especially for certain race/ethnic groups, due to problems such as confusion about event registration requirements, incomplete data, and transfers of newborns from one facility to another for medical care. Note there is a separate data table "Infant Mortality by Race/Ethnicity" which is based on death records only, which is more timely but less accurate than the Birth Cohort File. Single year shown to provide state-level data and county totals for the most recent year. Numerator: Infants deaths (under age 1 year). Denominator: Live births occurring to California state residents. Multiple years aggregated to allow for stratification at the county level. For this indicator, race/ethnicity is based on the birth certificate information, which records the race/ethnicity of the mother. The mother can “decline to state”; this is considered to be a valid response. These responses are not displayed on the indicator visualization.

  2. Indicator 3.2.1: Under-five mortality rate by sex (deaths per 1 000 live...

    • sdgs.amerigeoss.org
    • hub.arcgis.com
    Updated Aug 18, 2020
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    UN DESA Statistics Division (2020). Indicator 3.2.1: Under-five mortality rate by sex (deaths per 1 000 live births) [Dataset]. https://sdgs.amerigeoss.org/datasets/undesa::indicator-3-2-1-under-five-mortality-rate-by-sex-deaths-per-1-000-live-births-1/api
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    Dataset updated
    Aug 18, 2020
    Dataset provided by
    United Nations Department of Economic and Social Affairshttps://www.un.org/en/desa
    Authors
    UN DESA Statistics Division
    Area covered
    Description

    Series Name: Under-five mortality rate by sex (deaths per 1 000 live births)Series Code: SH_DYN_MORTRelease Version: 2020.Q2.G.03 This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 3.2.1: Under-5 mortality rateTarget 3.2: By 2030, end preventable deaths of newborns and children under 5 years of age, with all countries aiming to reduce neonatal mortality to at least as low as 12 per 1,000 live births and under-5 mortality to at least as low as 25 per 1,000 live birthsGoal 3: Ensure healthy lives and promote well-being for all at all agesFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

  3. Adult mortality rate

    • kaggle.com
    Updated Feb 16, 2022
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    Dhamodharan R (2022). Adult mortality rate [Dataset]. https://www.kaggle.com/dhamur/adult-mortality-rate/code
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 16, 2022
    Dataset provided by
    Kaggle
    Authors
    Dhamodharan R
    License

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

    Description

    What is Adult mortality rate?

    Adult mortality rate (probability of dying between 15 and 60 years per 1000 population) ... The probability of dying between the ages of 15 and 60 years (per 1 000 population) per year among a hypothetical cohort of 100 000 people that would experience the age-specific mortality rate of the reporting year.

    Data collected from

    WHO

  4. a

    Indicator 3.2.2: Neonatal mortality rate (deaths per 1 000 live births)

    • sdgs.amerigeoss.org
    • sdgs-amerigeoss.opendata.arcgis.com
    Updated Aug 18, 2020
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    UN DESA Statistics Division (2020). Indicator 3.2.2: Neonatal mortality rate (deaths per 1 000 live births) [Dataset]. https://sdgs.amerigeoss.org/datasets/202014290ce64ffdbb7e6bc1e8757f41
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    Dataset updated
    Aug 18, 2020
    Dataset authored and provided by
    UN DESA Statistics Division
    Area covered
    Description

    Series Name: Neonatal mortality rate (deaths per 1 000 live births)Series Code: SH_DYN_NMRTRelease Version: 2020.Q2.G.03 This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 3.2.2: Neonatal mortality rateTarget 3.2: By 2030, end preventable deaths of newborns and children under 5 years of age, with all countries aiming to reduce neonatal mortality to at least as low as 12 per 1,000 live births and under-5 mortality to at least as low as 25 per 1,000 live birthsGoal 3: Ensure healthy lives and promote well-being for all at all agesFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

  5. G

    Zone versus Alberta Infant Mortality Rates (per 1,000 live births), Years...

    • open.canada.ca
    • open.alberta.ca
    • +1more
    html, xlsx
    Updated Jul 24, 2024
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    Government of Alberta (2024). Zone versus Alberta Infant Mortality Rates (per 1,000 live births), Years 2018 – 2020 [Dataset]. https://open.canada.ca/data/dataset/40df1e4a-87a2-4c7f-b6c4-09eb247a9104
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    xlsx, htmlAvailable download formats
    Dataset updated
    Jul 24, 2024
    Dataset provided by
    Government of Alberta
    License

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

    Time period covered
    Jan 1, 2018 - Dec 31, 2020
    Area covered
    Alberta
    Description

    Table 1.3 reports the infant mortality rates per 1,000 live births for the zone and the province, for the most recent calendar years available. This table is part of "Alberta Health Primary Health Care - Community Profiles" report published August 2022.

  6. O

    SHIP Infant Death Rate 2010-2021

    • opendata.maryland.gov
    • healthdata.gov
    • +3more
    application/rdfxml +5
    Updated Feb 22, 2024
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    MDH Vital Statistics Administration (VSA) Annual Report (2024). SHIP Infant Death Rate 2010-2021 [Dataset]. https://opendata.maryland.gov/Health-and-Human-Services/SHIP-Infant-Death-Rate-2010-2021/ckcg-wct2
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    csv, application/rssxml, json, xml, tsv, application/rdfxmlAvailable download formats
    Dataset updated
    Feb 22, 2024
    Dataset authored and provided by
    MDH Vital Statistics Administration (VSA) Annual Report
    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

  7. Mortality rates, by age group

    • www150.statcan.gc.ca
    • open.canada.ca
    • +1more
    Updated Dec 4, 2024
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    Government of Canada, Statistics Canada (2024). Mortality rates, by age group [Dataset]. http://doi.org/10.25318/1310071001-eng
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    Dataset updated
    Dec 4, 2024
    Dataset provided by
    Government of Canadahttp://www.gg.ca/
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Number of deaths and mortality rates, by age group, sex, and place of residence, 1991 to most recent year.

  8. c

    Fetal and Infant Mortality - 5-Year Aggregations by County - Datasets -...

    • data.ctdata.org
    Updated Mar 24, 2016
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    (2016). Fetal and Infant Mortality - 5-Year Aggregations by County - Datasets - CTData.org [Dataset]. http://data.ctdata.org/dataset/fetal-and-infant-mortality---5-year-aggregations-by-county
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    Dataset updated
    Mar 24, 2016
    License

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

    Description

    Fetal mortality occurs after 20 weeks of gestation and before labor. Infant mortality occurs before the first year of age and is a sum of Neonatal (the first 28 days after birth) and Postneonatal (from 28 days up to 1 year) mortality. Rates are calculated per every 1000 births; rates are not available for disaggregated race/ethnicities. Fetal and infant mortality values are available for given race/ethnicities. Connecticut Department of Public Health collects and reports data annually. CTData.org carries 1-, 3- and 5-Year aggregations.

  9. f

    The Impact of GDP Growth on Infant Mortality Reduction: Insights from 30...

    • figshare.com
    csv
    Updated Oct 22, 2024
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    Fahimul Haque (2024). The Impact of GDP Growth on Infant Mortality Reduction: Insights from 30 Countries Over 20 Years [Dataset]. http://doi.org/10.6084/m9.figshare.27280347.v1
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    csvAvailable download formats
    Dataset updated
    Oct 22, 2024
    Dataset provided by
    figshare
    Authors
    Fahimul Haque
    License

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

    Description

    This dataset contains three CSV files documenting the relationship between log GDP and infant mortality rates for 30 countries. The data has been compiled to analyze the impact of economic status on child mortality rates. Each file includes relevant variables for conducting cross-national research on this topic.Files:Country_LogGDP.csvThis file contains the log-transformed GDP data for 30 countries.Variables:Country: The name of the country.Year: The year of the observation.LogGDP: The log-transformed value of the country's GDP for the corresponding year.Infant_Mortality.csvThis file provides the infant mortality rate data (number of infant deaths per 1,000 live births) for the same 30 countries.Variables:Country: The name of the country.Year: The year of the observation.Infant_Mortality: The infant mortality rate for the corresponding year.Average_LogGDP_InfantMortality.csvThis file contains the average log GDP and infant mortality rates for the 30 countries.Variables:Country: The name of the country.Average_LogGDP: The average log-transformed GDP for each country over the time period.Average_Infant_Mortality: The average infant mortality rate for each country over the time period.

  10. F

    France FR: Death Rate: Crude: per 1000 People

    • ceicdata.com
    Updated Nov 27, 2021
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    CEICdata.com (2021). France FR: Death Rate: Crude: per 1000 People [Dataset]. https://www.ceicdata.com/en/france/population-and-urbanization-statistics/fr-death-rate-crude-per-1000-people
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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, 2005 - Dec 1, 2016
    Area covered
    France
    Variables measured
    Population
    Description

    France FR: Death Rate: Crude: per 1000 People data was reported at 8.800 Ratio in 2016. This records a decrease from the previous number of 8.900 Ratio for 2015. France FR: Death Rate: Crude: per 1000 People data is updated yearly, averaging 9.500 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 11.400 Ratio in 1960 and a record low of 8.300 Ratio in 2007. France FR: Death Rate: Crude: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s France – Table FR.World Bank.WDI: Population and Urbanization Statistics. 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.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;

  11. U

    United States US: Death Rate: Crude: per 1000 People

    • ceicdata.com
    Updated Nov 27, 2021
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    CEICdata.com (2021). United States US: Death Rate: Crude: per 1000 People [Dataset]. https://www.ceicdata.com/en/united-states/population-and-urbanization-statistics/us-death-rate-crude-per-1000-people
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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, 2005 - Dec 1, 2016
    Area covered
    United States
    Variables measured
    Population
    Description

    United States US: Death Rate: Crude: per 1000 People data was reported at 8.400 Ratio in 2016. This records a decrease from the previous number of 8.440 Ratio for 2015. United States US: Death Rate: Crude: per 1000 People data is updated yearly, averaging 8.700 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 9.800 Ratio in 1968 and a record low of 7.900 Ratio in 2009. United States US: Death Rate: Crude: per 1000 People 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: Population and Urbanization Statistics. 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.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;

  12. c

    Fetal and Infant Mortality - 3-Year Aggregations by Town - Datasets -...

    • data.ctdata.org
    Updated Mar 24, 2016
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    (2016). Fetal and Infant Mortality - 3-Year Aggregations by Town - Datasets - CTData.org [Dataset]. http://data.ctdata.org/dataset/fetal-and-infant-mortality---3-year-aggregations-by-town
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    Dataset updated
    Mar 24, 2016
    License

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

    Description

    Fetal mortality occurs after 20 weeks of gestation and before labor. Infant mortality occurs before the first year of age and is a sum of Neonatal (the first 28 days after birth) and Postneonatal (from 28 days up to 1 year) mortality. Rates are calculated per every 1000 births; rates are not available for disaggregated race/ethnicities. Fetal and infant mortality values are available for given race/ethnicities. Connecticut Department of Public Health collects and reports data annually. CTData.org carries 1-, 3- and 5-Year aggregations.

  13. c

    Fetal and Infant Mortality - 1-Year Aggregations by County - Datasets -...

    • data.ctdata.org
    Updated Mar 24, 2016
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    (2016). Fetal and Infant Mortality - 1-Year Aggregations by County - Datasets - CTData.org [Dataset]. http://data.ctdata.org/dataset/fetal-and-infant-mortality---1-year-aggregations-by-county
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    Dataset updated
    Mar 24, 2016
    License

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

    Description

    Fetal mortality occurs after 20 weeks of gestation and before labor. Infant mortality occurs before the first year of age and is a sum of Neonatal (the first 28 days after birth) and Postneonatal (from 28 days up to 1 year) mortality. Rates are calculated per every 1000 births; rates are not available for disaggregated race/ethnicities. Fetal and infant mortality values are available for given race/ethnicities. Connecticut Department of Public Health collects and reports data annually. CTData.org carries 1-, 3- and 5-Year aggregations.

  14. a

    Indicator 3.2.1: Under-five deaths (number)

    • ttmay-sdgs.hub.arcgis.com
    • sdg.org
    • +4more
    Updated Sep 23, 2021
    + more versions
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    UN DESA Statistics Division (2021). Indicator 3.2.1: Under-five deaths (number) [Dataset]. https://ttmay-sdgs.hub.arcgis.com/items/b64e8998a6104047a749425c76f1e402
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    Dataset updated
    Sep 23, 2021
    Dataset authored and provided by
    UN DESA Statistics Division
    Area covered
    Description

    Series Name: Under-five deaths (number)Series Code: SH_DYN_MORTNRelease Version: 2021.Q2.G.03 This dataset is part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 3.2.1: Under-5 mortality rateTarget 3.2: By 2030, end preventable deaths of newborns and children under 5 years of age, with all countries aiming to reduce neonatal mortality to at least as low as 12 per 1,000 live births and under-5 mortality to at least as low as 25 per 1,000 live birthsGoal 3: Ensure healthy lives and promote well-being for all at all agesFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

  15. c

    Fetal and Infant Mortality - 5-Year Aggregations by Town - Datasets -...

    • data.ctdata.org
    Updated Mar 24, 2016
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    (2016). Fetal and Infant Mortality - 5-Year Aggregations by Town - Datasets - CTData.org [Dataset]. http://data.ctdata.org/dataset/fetal-and-infant-mortality---5-year-aggregations-by-town
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    Dataset updated
    Mar 24, 2016
    License

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

    Description

    Fetal mortality occurs after 20 weeks of gestation and before labor. Infant mortality occurs before the first year of age and is a sum of Neonatal (the first 28 days after birth) and Postneonatal (from 28 days up to 1 year) mortality. Rates are calculated per every 1000 births; rates are not available for disaggregated race/ethnicities. Fetal and infant mortality values are available for given race/ethnicities. Connecticut Department of Public Health collects and reports data annually. CTData.org carries 1-, 3- and 5-Year aggregations.

  16. c

    Fetal and Infant Mortality - 3-Year Aggregations by County - Datasets -...

    • data.ctdata.org
    Updated Mar 24, 2016
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    (2016). Fetal and Infant Mortality - 3-Year Aggregations by County - Datasets - CTData.org [Dataset]. http://data.ctdata.org/dataset/fetal-and-infant-mortality---3-year-aggregations-by-county
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    Dataset updated
    Mar 24, 2016
    License

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

    Description

    Full Description Fetal mortality occurs after 20 weeks of gestation and before labor. Infant mortality occurs before the first year of age and is a sum of Neonatal (the first 28 days after birth) and Postneonatal (from 28 days up to 1 year) mortality. Rates are calculated per every 1000 births; rates are not available for disaggregated race/ethnicities. Fetal and infant mortality values are available for given race/ethnicities. Connecticut Department of Public Health collects and reports data annually. CTData.org carries 1-, 3- and 5-Year aggregations.

  17. f

    Socioeconomic Factors and All Cause and Cause-Specific Mortality among Older...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    doc
    Updated Jun 1, 2023
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    Cleusa P. Ferri; Daisy Acosta; Mariella Guerra; Yueqin Huang; Juan J. Llibre-Rodriguez; Aquiles Salas; Ana Luisa Sosa; Joseph D. Williams; Ciro Gaona; Zhaorui Liu; Lisseth Noriega-Fernandez; A. T. Jotheeswaran; Martin J. Prince (2023). Socioeconomic Factors and All Cause and Cause-Specific Mortality among Older People in Latin America, India, and China: A Population-Based Cohort Study [Dataset]. http://doi.org/10.1371/journal.pmed.1001179
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    docAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS Medicine
    Authors
    Cleusa P. Ferri; Daisy Acosta; Mariella Guerra; Yueqin Huang; Juan J. Llibre-Rodriguez; Aquiles Salas; Ana Luisa Sosa; Joseph D. Williams; Ciro Gaona; Zhaorui Liu; Lisseth Noriega-Fernandez; A. T. Jotheeswaran; Martin J. Prince
    License

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

    Area covered
    China, Latin America, India
    Description

    BackgroundEven in low and middle income countries most deaths occur in older adults. In Europe, the effects of better education and home ownership upon mortality seem to persist into old age, but these effects may not generalise to LMICs. Reliable data on causes and determinants of mortality are lacking. Methods and FindingsThe vital status of 12,373 people aged 65 y and over was determined 3–5 y after baseline survey in sites in Latin America, India, and China. We report crude and standardised mortality rates, standardized mortality ratios comparing mortality experience with that in the United States, and estimated associations with socioeconomic factors using Cox's proportional hazards regression. Cause-specific mortality fractions were estimated using the InterVA algorithm. Crude mortality rates varied from 27.3 to 70.0 per 1,000 person-years, a 3-fold variation persisting after standardisation for demographic and economic factors. Compared with the US, mortality was much higher in urban India and rural China, much lower in Peru, Venezuela, and urban Mexico, and similar in other sites. Mortality rates were higher among men, and increased with age. Adjusting for these effects, it was found that education, occupational attainment, assets, and pension receipt were all inversely associated with mortality, and food insecurity positively associated. Mutually adjusted, only education remained protective (pooled hazard ratio 0.93, 95% CI 0.89–0.98). Most deaths occurred at home, but, except in India, most individuals received medical attention during their final illness. Chronic diseases were the main causes of death, together with tuberculosis and liver disease, with stroke the leading cause in nearly all sites. ConclusionsEducation seems to have an important latent effect on mortality into late life. However, compositional differences in socioeconomic position do not explain differences in mortality between sites. Social protection for older people, and the effectiveness of health systems in preventing and treating chronic disease, may be as important as economic and human development. Please see later in the article for the Editors' Summary

  18. Deaths and age-specific mortality rates, by selected grouped causes

    • www150.statcan.gc.ca
    • ouvert.canada.ca
    • +1more
    Updated Feb 19, 2025
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    Government of Canada, Statistics Canada (2025). Deaths and age-specific mortality rates, by selected grouped causes [Dataset]. http://doi.org/10.25318/1310039201-eng
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    Dataset updated
    Feb 19, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Number of deaths and age-specific mortality rates for selected grouped causes, by age group and sex, 2000 to most recent year.

  19. T

    Thailand TH: Death Rate: Crude: per 1000 People

    • ceicdata.com
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    CEICdata.com, Thailand TH: Death Rate: Crude: per 1000 People [Dataset]. https://www.ceicdata.com/en/thailand/population-and-urbanization-statistics/th-death-rate-crude-per-1000-people
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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, 2005 - Dec 1, 2016
    Area covered
    Thailand
    Variables measured
    Population
    Description

    Thailand TH: Death Rate: Crude: per 1000 People data was reported at 7.872 Ratio in 2016. This records an increase from the previous number of 7.750 Ratio for 2015. Thailand TH: Death Rate: Crude: per 1000 People data is updated yearly, averaging 7.229 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 13.180 Ratio in 1960 and a record low of 5.663 Ratio in 1989. Thailand TH: Death Rate: Crude: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Thailand – Table TH.World Bank.WDI: Population and Urbanization Statistics. 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.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;

  20. India - Demographics, Health and Infant Mortality Rates

    • data.unicef.org
    Updated Sep 29, 2016
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    UNICEF (2016). India - Demographics, Health and Infant Mortality Rates [Dataset]. https://data.unicef.org/country/ind/
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    Dataset updated
    Sep 29, 2016
    Dataset authored and provided by
    UNICEFhttp://www.unicef.org/
    Description

    UNICEF's country profile for India, including under-five mortality rates, child health, education and sanitation data.

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California Department of Public Health (2025). Infant Mortality, Deaths Per 1,000 Live Births (LGHC Indicator) [Dataset]. https://catalog.data.gov/dataset/infant-mortality-deaths-per-1000-live-births-lghc-indicator-7c03d

Infant Mortality, Deaths Per 1,000 Live Births (LGHC Indicator)

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6 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jul 23, 2025
Dataset provided by
California Department of Public Health
Description

This is a source dataset for a Let's Get Healthy California indicator at https://letsgethealthy.ca.gov/. Infant Mortality is defined as the number of deaths in infants under one year of age per 1,000 live births. Infant mortality is often used as an indicator to measure the health and well-being of a community, because factors affecting the health of entire populations can also impact the mortality rate of infants. Although California’s infant mortality rate is better than the national average, there are significant disparities, with African American babies dying at more than twice the rate of other groups. Data are from the Birth Cohort Files. The infant mortality indicator computed from the birth cohort file comprises birth certificate information on all births that occur in a calendar year (denominator) plus death certificate information linked to the birth certificate for those infants who were born in that year but subsequently died within 12 months of birth (numerator). Studies of infant mortality that are based on information from death certificates alone have been found to underestimate infant death rates for infants of all race/ethnic groups and especially for certain race/ethnic groups, due to problems such as confusion about event registration requirements, incomplete data, and transfers of newborns from one facility to another for medical care. Note there is a separate data table "Infant Mortality by Race/Ethnicity" which is based on death records only, which is more timely but less accurate than the Birth Cohort File. Single year shown to provide state-level data and county totals for the most recent year. Numerator: Infants deaths (under age 1 year). Denominator: Live births occurring to California state residents. Multiple years aggregated to allow for stratification at the county level. For this indicator, race/ethnicity is based on the birth certificate information, which records the race/ethnicity of the mother. The mother can “decline to state”; this is considered to be a valid response. These responses are not displayed on the indicator visualization.

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