100+ datasets found
  1. H

    Global Subnational Infant Mortality Rates, Version 2.01

    • dataverse.harvard.edu
    • datasets.ai
    • +3more
    Updated Sep 8, 2025
    + more versions
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    Center for International Earth Science Information Network - CIESIN - Columbia University (2025). Global Subnational Infant Mortality Rates, Version 2.01 [Dataset]. http://doi.org/10.7910/DVN/XVKAQ0
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 8, 2025
    Dataset provided by
    Harvard Dataverse
    Authors
    Center for International Earth Science Information Network - CIESIN - Columbia University
    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, 2015 - Dec 31, 2015
    Area covered
    Global
    Description

    The Global Subnational Infant Mortality Rates, Version 2.01 consist of Infant Mortality Rate (IMR) estimates for 234 countries and territories, 143 of which include subnational units. The data are benchmarked to the year 2015 (Version 1 was benchmarked to the year 2000), and are drawn from national offices, Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other sources from 2006 to 2014. In addition to Infant Mortality Rates, Version 2.01 includes crude estimates of births and infant deaths, which could be aggregated or disaggregated to different geographies to calculate infant mortality rates at different scales or resolutions, where births are the rate denominator and infant deaths are the rate numerator. Boundary inputs are derived primarily from the Gridded Population of the World, Version 4 (GPWv4) data collection. National and subnational data are mapped to grid cells at a spatial resolution of 30 arc-seconds (~1 km) (Version 1 has a spatial resolution of 1/4 degree, ~28 km at the equator), allowing for easy integration with demographic, environmental, and other spatial data. To provide a global subnational map of infant mortality rate estimates for the year 2015, to be used by a wide user community in interdisciplinary studies of health, poverty, and the environment.

  2. G

    Death rate by country, around the world | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Jan 13, 2015
    + more versions
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    Globalen LLC (2015). Death rate by country, around the world | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/Death_rate/
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    xml, csv, excelAvailable download formats
    Dataset updated
    Jan 13, 2015
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Dec 31, 1960 - Dec 31, 2023
    Area covered
    World
    Description

    The average for 2022 based on 196 countries was 8.24 deaths per 1000 people. The highest value was in the Central African Republic: 55.13 deaths per 1000 people and the lowest value was in Qatar: 0.93 deaths per 1000 people. The indicator is available from 1960 to 2023. Below is a chart for all countries where data are available.

  3. World: annual birth rate, death rate, and rate of natural population change...

    • statista.com
    • tokrwards.com
    Updated Jul 28, 2025
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    Statista (2025). World: annual birth rate, death rate, and rate of natural population change 1950-2100 [Dataset]. https://www.statista.com/statistics/805069/death-rate-worldwide/
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    Dataset updated
    Jul 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    World
    Description

    The COVID-19 pandemic increased the global death rate, reaching *** in 2021, but had little to no significant impact on birth rates, causing population growth to dip slightly. On a global level, population growth is determined by the difference between the birth and death rates, known as the rate of natural change. On a national or regional level, migration also affects population change. Ongoing trends Since the middle of the 20th century, the global birth rate has been well above the global death rate; however, the gap between these figures has grown closer in recent years. The death rate is projected to overtake the birth rate in the 2080s, which means that the world's population will then go into decline. In the future, death rates will increase due to ageing populations across the world and a plateau in life expectancy. Why does this change? There are many reasons for the decline in death and birth rates in recent decades. Falling death rates have been driven by a reduction in infant and child mortality, as well as increased life expectancy. Falling birth rates were also driven by the reduction in child mortality, whereby mothers would have fewer children as survival rates rose - other factors include the drop in child marriage, improved contraception access and efficacy, and women choosing to have children later in life.

  4. Global mortality rate by energy source

    • statista.com
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    Statista (2022). Global mortality rate by energy source [Dataset]. https://www.statista.com/statistics/494425/death-rate-worldwide-by-energy-source/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2018
    Area covered
    Worldwide
    Description

    The deadliest energy source worldwide is coal. It is estimated that there are roughly 33 deaths from brown coal (also known as Lignite) and 25 deaths from coal per terawatt-hour (TWh) of electricity produced from these fossil fuels. While figures take into account accidents, the majority of deaths associated with coal come from air pollution. Air pollution deaths from fossil fuels Air pollution from coal-fired plants has been of growing concern as it has been linked to asthma, cancer, and heart disease. Burning coal can release toxic airborne pollutants such as mercury, sulfur dioxide, nitrogen oxides, and particulate matter. Eastern Asia accounts for roughly 31 percent of global deaths attributable to exposure to fine particulate matter (PM2.5) generated by fossil fuel combustion, which is perhaps unsurprising given the fact China and India are the two largest coal consumers in the world. Safest energy source Clean and renewable energy sources are unsurprisingly the least deadly energy sources, with 0.04 and 0.02 deaths associated with wind and solar per unit of electricity, respectively. Nuclear energy also has a low death rate, even after the inclusion of nuclear catastrophes like Chernobyl and Fukushima.

  5. Countries with the highest death rates in 2023

    • statista.com
    • tokrwards.com
    Updated Jun 25, 2025
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    Statista (2025). Countries with the highest death rates in 2023 [Dataset]. https://www.statista.com/statistics/562733/ranking-of-20-countries-with-highest-death-rates/
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    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    World
    Description

    As of 2023, the countries with the highest death rates worldwide were Monaco, Bulgaria, and Latvia. In these countries, there were ** to ** deaths per 1,000 people. The country with the lowest death rate is Qatar, where there is just *** death per 1,000 people. Leading causes of death The leading causes of death worldwide are, by far, cardiovascular diseases, accounting for ** percent of all deaths in 2021. That year, there were **** million deaths worldwide from ischaemic heart disease and **** million from stroke. Interestingly, a worldwide survey from that year found that people greatly underestimate the proportion of deaths caused by cardiovascular disease, but overestimate the proportion of deaths caused by suicide, interpersonal violence, and substance use disorders. Death in the United States In 2023, there were around **** million deaths in the United States. The leading causes of death in the United States are currently heart disease and cancer, accounting for a combined ** percent of all deaths in 2023. Lung and bronchus cancer is the deadliest form of cancer worldwide, as well as in the United States. In the U.S. this form of cancer is predicted to cause around ****** deaths among men alone in the year 2025. Prostate cancer is the second-deadliest cancer for men in the U.S. while breast cancer is the second deadliest for women. In 2023, the tenth leading cause of death in the United States was COVID-19. Deaths due to COVID-19 resulted in a significant rise in the total number of deaths in the U.S. in 2020 and 2021 compared to 2019, and it was the third leading cause of death in the U.S. during those years.

  6. G

    Infant mortality by country, around the world | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated May 7, 2020
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    Globalen LLC (2020). Infant mortality by country, around the world | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/infant_mortality/
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    csv, excel, xmlAvailable download formats
    Dataset updated
    May 7, 2020
    Dataset authored and provided by
    Globalen LLC
    License

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

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

    The average for 2021 based on 187 countries was 20 deaths per 1000 live births. The highest value was in Sierra Leone: 78 deaths per 1000 live births and the lowest value was in San Marino: 1 deaths per 1000 live births. The indicator is available from 1960 to 2022. Below is a chart for all countries where data are available.

  7. C

    Canada CA: Mortality Rate: Under-5: Female: per 1000 Live Births

    • ceicdata.com
    + more versions
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    CEICdata.com, Canada CA: Mortality Rate: Under-5: Female: per 1000 Live Births [Dataset]. https://www.ceicdata.com/en/canada/social-health-statistics/ca-mortality-rate-under5-female-per-1000-live-births
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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, 2011 - Dec 1, 2022
    Area covered
    Canada
    Description

    Canada CA: Mortality Rate: Under-5: Female: per 1000 Live Births data was reported at 4.700 Ratio in 2023. This stayed constant from the previous number of 4.700 Ratio for 2022. Canada CA: Mortality Rate: Under-5: Female: per 1000 Live Births data is updated yearly, averaging 7.000 Ratio from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 28.600 Ratio in 1960 and a record low of 4.700 Ratio in 2023. Canada CA: Mortality Rate: Under-5: Female: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Canada – Table CA.World Bank.WDI: Social: Health Statistics. Under-five mortality rate, female is the probability per 1,000 that a newborn female baby will die before reaching age five, if subject to female age-specific mortality rates of the specified year.;Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.;Weighted average;Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys. Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation. This is a sex-disaggregated indicator for Sustainable Development Goal 3.2.1 [https://unstats.un.org/sdgs/metadata/].

  8. 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.

  9. g

    Global Health Statistics Dataset

    • gts.ai
    json
    Updated Jan 24, 2025
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    GTS (2025). Global Health Statistics Dataset [Dataset]. https://gts.ai/dataset-download/global-health-statistics-dataset/
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    jsonAvailable download formats
    Dataset updated
    Jan 24, 2025
    Dataset provided by
    GLOBOSE TECHNOLOGY SOLUTIONS PRIVATE LIMITED
    Authors
    GTS
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Access comprehensive global health data on disease prevalence, mortality rates, treatment effectiveness, and healthcare infrastructure.

  10. T

    World - Death Rate, Crude

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 28, 2017
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    TRADING ECONOMICS (2017). World - Death Rate, Crude [Dataset]. https://tradingeconomics.com/world/death-rate-crude-per-1-000-people-wb-data.html
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    excel, xml, csv, jsonAvailable download formats
    Dataset updated
    May 28, 2017
    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, 1976 - Dec 31, 2025
    Area covered
    World
    Description

    Death rate, crude (per 1,000 people) in World was reported at 7.5788 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. World - Death rate, crude - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.

  11. Global Mortality Rate 1970 to 2016

    • johnsnowlabs.com
    csv
    Updated Jan 20, 2021
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    John Snow Labs (2021). Global Mortality Rate 1970 to 2016 [Dataset]. https://www.johnsnowlabs.com/marketplace/global-mortality-rate-1970-to-2016/
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    csvAvailable download formats
    Dataset updated
    Jan 20, 2021
    Dataset authored and provided by
    John Snow Labs
    Time period covered
    Jan 1, 1970 - Dec 31, 2016
    Area covered
    World
    Description

    This dataset includes estimates for age-standardized adult mortality rate and 95% uncertainty interval estimates by location, male, female and both sexes combined in 1970, 1975, 1980, 1985, 1990, 1995, 2000, 2005, 2010, 2016. This age-specific mortality dataset is used to enable health systems to target interventions for the adult populations.

  12. Child and Infant Mortality

    • kaggle.com
    Updated Aug 21, 2022
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    hrterhrter (2022). Child and Infant Mortality [Dataset]. https://www.kaggle.com/datasets/programmerrdai/child-and-infant-mortality
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 21, 2022
    Dataset provided by
    Kaggle
    Authors
    hrterhrter
    License

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

    Description

    One in every 100 children dies before completing one year of life. Around 68 percent of infant mortality is attributed to deaths of children before completing 1 month. 15,000 children die every day – Child mortality is an everyday tragedy of enormous scale that rarely makes the headlines Child mortality rates have declined in all world regions, but the world is not on track to reach the Sustainable Development Goal for child mortality Before the Modern Revolution child mortality was very high in all societies that we have knowledge of – a quarter of all children died in the first year of life, almost half died before reaching the end of puberty Over the last two centuries all countries in the world have made very rapid progress against child mortality. From 1800 to 1950 global mortality has halved from around 43% to 22.5%. Since 1950 the mortality rate has declined five-fold to 4.5% in 2015. All countries in the world have benefitted from this progress In the past it was very common for parents to see children die, because both, child mortality rates and fertility rates were very high. In Europe in the mid 18th century parents lost on average between 3 and 4 of their children Based on this overview we are asking where the world is today – where are children dying and what are they dying from?

    5.4 million children died in 2017 – Where did these children die? Pneumonia is the most common cause of death, preterm births and neonatal disorders is second, and diarrheal diseases are third – What are children today dying from? This is the basis for answering the question what can we do to make further progress against child mortality? We will extend this entry over the course of 2020.

    @article{owidchildmortality, author = {Max Roser, Hannah Ritchie and Bernadeta Dadonaite}, title = {Child and Infant Mortality}, journal = {Our World in Data}, year = {2013}, note = {https://ourworldindata.org/child-mortality} }

  13. Diabetes mellitus global mortality rate 1990-2019, by region

    • statista.com
    Updated May 16, 2025
    + more versions
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    Statista (2025). Diabetes mellitus global mortality rate 1990-2019, by region [Dataset]. https://www.statista.com/statistics/1548598/diabetes-mellitus-global-mortality-rate-by-region/
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    Dataset updated
    May 16, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In 1990, the mortality rate of diabetes mellitus in high-income countries was around 18 per 100,000 population. By 2019, the mortality rate of diabetes mellitus in high-income countries had decreased to 12 per 100,000 population. However, the incidence rate of diabetes in high-income countries significantly increased over this period. Diabetes is among the leading ten causes of death worldwide.

  14. Global Mortality and Morbidity Data Data Package

    • johnsnowlabs.com
    csv
    Updated Jan 20, 2021
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    John Snow Labs (2021). Global Mortality and Morbidity Data Data Package [Dataset]. https://www.johnsnowlabs.com/marketplace/global-mortality-and-morbidity-data-data-package/
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    csvAvailable download formats
    Dataset updated
    Jan 20, 2021
    Dataset authored and provided by
    John Snow Labs
    Description

    This data package contains mortality and morbidity estimates for adult, maternal, and child mortalities as well as mortalities from diseases like malaria and breast and cervical cancer.

  15. Poverty Mapping Project: Global Subnational Infant Mortality Rates - Dataset...

    • data.nasa.gov
    Updated Dec 31, 2005
    + more versions
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    nasa.gov (2005). Poverty Mapping Project: Global Subnational Infant Mortality Rates - Dataset - NASA Open Data Portal [Dataset]. https://data.nasa.gov/dataset/poverty-mapping-project-global-subnational-infant-mortality-rates
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    Dataset updated
    Dec 31, 2005
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    The Poverty Mapping Project: Global Subnational Infant Mortality Rates data set consists of estimates of infant mortality rates for the year 2000. The infant mortality rate for a region or country is defined as the number of children who die before their first birthday for every 1,000 live births. The data products include a shapefile (vector data) of rates, grids (raster data) of rates (per 10,000 live births in order to preserve precision in integer format), births (the rate denominator) and deaths (the rate numerator), and a tabular data set of the same and associated data. Over 10,000 national and subnational Units are represented in the tabular and grid data sets, while the shapefile uses approximately 1,000 Units in order to protect the intellectual property of source data sets for Brazil, China, and Mexico. This data set is produced by the Columbia University Center for International Earth Science Information Network (CIESIN).

  16. T

    World Coronavirus COVID-19 Deaths

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 9, 2020
    + more versions
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    TRADING ECONOMICS (2020). World Coronavirus COVID-19 Deaths [Dataset]. https://tradingeconomics.com/world/coronavirus-deaths
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    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    Mar 9, 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
    World
    Description

    The World Health Organization reported 6932591 Coronavirus Deaths since the epidemic began. In addition, countries reported 766440796 Coronavirus Cases. This dataset provides - World Coronavirus Deaths- actual values, historical data, forecast, chart, statistics, economic calendar and news.

  17. G

    Covid total deaths per million around the world | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Mar 31, 2023
    + more versions
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    Globalen LLC (2023). Covid total deaths per million around the world | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/covid_deaths_per_million/
    Explore at:
    csv, xml, excelAvailable download formats
    Dataset updated
    Mar 31, 2023
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    2025
    Area covered
    World
    Description

    Trends in Covid total deaths per million. The latest data for over 100 countries around the world.

  18. J

    Japan JP: Mortality Rate: Infant: Female: per 1000 Live Births

    • ceicdata.com
    Updated Aug 20, 2019
    + more versions
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    CEICdata.com (2019). Japan JP: Mortality Rate: Infant: Female: per 1000 Live Births [Dataset]. https://www.ceicdata.com/en/japan/health-statistics/jp-mortality-rate-infant-female-per-1000-live-births
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    Dataset updated
    Aug 20, 2019
    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, 1990 - Dec 1, 2016
    Area covered
    Japan
    Description

    Japan JP: Mortality Rate: Infant: Female: per 1000 Live Births data was reported at 1.800 Ratio in 2017. This records a decrease from the previous number of 2.000 Ratio for 2015. Japan JP: Mortality Rate: Infant: Female: per 1000 Live Births data is updated yearly, averaging 2.200 Ratio from Dec 1990 (Median) to 2017, with 5 observations. The data reached an all-time high of 4.200 Ratio in 1990 and a record low of 1.800 Ratio in 2017. Japan JP: Mortality Rate: Infant: Female: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank: Health Statistics. Infant mortality rate, female is the number of female infants dying before reaching one year of age, per 1,000 female live births in a given year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.

  19. Number of diabetes deaths worldwide 2024, by region

    • statista.com
    Updated Jun 16, 2025
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    Statista (2025). Number of diabetes deaths worldwide 2024, by region [Dataset]. https://www.statista.com/statistics/495457/deaths-due-to-diabetes-worldwide-number-by-region/
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    Dataset updated
    Jun 16, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    Diabetes continues to be a significant global health concern, with the Western Pacific region reporting the highest number of diabetes-related deaths in 2024, with around 1.2 million. This stark figure underscores the urgent need for improved diabetes prevention and management strategies worldwide. North America and the Caribbean followed with an estimated 526,000 deaths, while Africa is had the lowest number at 216,000. Regional disparities and global impact The prevalence of diabetes varies significantly across regions, reflecting differences in healthcare systems, lifestyle factors, and genetic predispositions. In the United States, the death rate from diabetes mellitus was 22.4 per 100,000 people in 2023, with 8.4 percent of the adult population living with the condition. Canada has seen a slight decrease in its diabetes-related death rate, falling from 21.8 per 100,000 in 2000 to 18.1 per 100,000 in 2023. These figures highlight the ongoing challenges in managing diabetes, even in countries with advanced healthcare systems. European landscape and global context Within Europe, Germany reported the highest number of diabetes-related deaths in 2024, with nearly 63,000 fatalities among adults aged 20 to 79 years. Italy followed closely with around 62,400 deaths. However, Czechia reported the highest mortality rates in Europe as of 2022, with 43.4 diabetes deaths per 100,000 population overall. On a global scale, diabetes remains a major health concern, with 19 percent of adults worldwide identifying it as one of the biggest health problems in their country.

  20. C

    Chad TD: Mortality Rate: Infant: per 1000 Live Births

    • ceicdata.com
    Updated Aug 7, 2024
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    CEICdata.com (2024). Chad TD: Mortality Rate: Infant: per 1000 Live Births [Dataset]. https://www.ceicdata.com/en/chad/social-health-statistics/td-mortality-rate-infant-per-1000-live-births
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    Dataset updated
    Aug 7, 2024
    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, 2011 - Dec 1, 2022
    Area covered
    Chad
    Description

    Chad TD: Mortality Rate: Infant: per 1000 Live Births data was reported at 58.700 Ratio in 2023. This records a decrease from the previous number of 60.300 Ratio for 2022. Chad TD: Mortality Rate: Infant: per 1000 Live Births data is updated yearly, averaging 114.000 Ratio from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 142.000 Ratio in 1960 and a record low of 58.700 Ratio in 2023. Chad TD: Mortality Rate: Infant: per 1000 Live Births 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. Infant mortality rate is the number of infants dying before reaching one year of age, per 1,000 live births in a given year.;Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.;Weighted average;Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys. Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.

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Center for International Earth Science Information Network - CIESIN - Columbia University (2025). Global Subnational Infant Mortality Rates, Version 2.01 [Dataset]. http://doi.org/10.7910/DVN/XVKAQ0

Global Subnational Infant Mortality Rates, Version 2.01

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5 scholarly articles cite this dataset (View in Google Scholar)
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Sep 8, 2025
Dataset provided by
Harvard Dataverse
Authors
Center for International Earth Science Information Network - CIESIN - Columbia University
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, 2015 - Dec 31, 2015
Area covered
Global
Description

The Global Subnational Infant Mortality Rates, Version 2.01 consist of Infant Mortality Rate (IMR) estimates for 234 countries and territories, 143 of which include subnational units. The data are benchmarked to the year 2015 (Version 1 was benchmarked to the year 2000), and are drawn from national offices, Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other sources from 2006 to 2014. In addition to Infant Mortality Rates, Version 2.01 includes crude estimates of births and infant deaths, which could be aggregated or disaggregated to different geographies to calculate infant mortality rates at different scales or resolutions, where births are the rate denominator and infant deaths are the rate numerator. Boundary inputs are derived primarily from the Gridded Population of the World, Version 4 (GPWv4) data collection. National and subnational data are mapped to grid cells at a spatial resolution of 30 arc-seconds (~1 km) (Version 1 has a spatial resolution of 1/4 degree, ~28 km at the equator), allowing for easy integration with demographic, environmental, and other spatial data. To provide a global subnational map of infant mortality rate estimates for the year 2015, to be used by a wide user community in interdisciplinary studies of health, poverty, and the environment.

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