100+ datasets found
  1. Global deaths of children under five in 2015, by cause

    • statista.com
    Updated Jul 8, 2025
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    Statista (2025). Global deaths of children under five in 2015, by cause [Dataset]. https://www.statista.com/statistics/221052/causes-of-global-child-death/
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    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2015
    Area covered
    Worldwide
    Description

    This statistic shows the global causes of death of children under five in 2015. Malaria was responsible for **** percent of global deaths of children aged under five, while pneumonia accounted for ** percent of all such deaths.

  2. Leading global causes of death among children under 5 as of 2015

    • statista.com
    Updated Jul 6, 2017
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    Statista (2017). Leading global causes of death among children under 5 as of 2015 [Dataset]. https://www.statista.com/statistics/720065/global-death-causes-for-children-under-5/
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    Dataset updated
    Jul 6, 2017
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2015
    Area covered
    Worldwide
    Description

    This statistic displays the distribution of the leading global causes of death for children under five as of 2015. According to the statistic, 18 percent of child deaths were due to prematurity and around 15 percent were due to pneumonia as of 2015.

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

    • www150.statcan.gc.ca
    • open.canada.ca
    Updated Feb 19, 2025
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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.

  4. Countries with the highest infant mortality rate 2024

    • statista.com
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    Statista, Countries with the highest infant mortality rate 2024 [Dataset]. https://www.statista.com/statistics/264714/countries-with-the-highest-infant-mortality-rate/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Worldwide
    Description

    This statistic shows the 20 countries* with the highest infant mortality rate in 2024. An estimated 101.3 infants per 1,000 live births died in the first year of life in Afghanistan in 2024. Infant and child mortality Infant mortality usually refers to the death of children younger than one year. Child mortality, which is often used synonymously with infant mortality, is the death of children younger than five. Among the main causes are pneumonia, diarrhea – which causes dehydration – and infections in newborns, with malnutrition also posing a severe problem. As can be seen above, most countries with a high infant mortality rate are developing countries or emerging countries, most of which are located in Africa. Good health care and hygiene are crucial in reducing child mortality; among the countries with the lowest infant mortality rate are exclusively developed countries, whose inhabitants usually have access to clean water and comprehensive health care. Access to vaccinations, antibiotics and a balanced nutrition also help reducing child mortality in these regions. In some countries, infants are killed if they turn out to be of a certain gender. India, for example, is known as a country where a lot of girls are aborted or killed right after birth, as they are considered to be too expensive for poorer families, who traditionally have to pay a costly dowry on the girl’s wedding day. Interestingly, the global mortality rate among boys is higher than that for girls, which could be due to the fact that more male infants are actually born than female ones. Other theories include a stronger immune system in girls, or more premature births among boys.

  5. 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} }

  6. f

    Data_Sheet_1_The Causes of Death and Their Influence in Life Expectancy of...

    • frontiersin.figshare.com
    pdf
    Updated Jun 6, 2023
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    Juanjuan Liang; Yuanze Du; Xiang Qu; Changrong Ke; Guipeng Yi; Mi Liu; Juncheng Lyu; Yanfeng Ren; Jie Xing; Chunping Wang; Shiwei Liu (2023). Data_Sheet_1_The Causes of Death and Their Influence in Life Expectancy of Children Aged 5–14 Years in Low- and Middle-Income Countries From 1990 to 2019.pdf [Dataset]. http://doi.org/10.3389/fped.2022.829201.s001
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    pdfAvailable download formats
    Dataset updated
    Jun 6, 2023
    Dataset provided by
    Frontiers
    Authors
    Juanjuan Liang; Yuanze Du; Xiang Qu; Changrong Ke; Guipeng Yi; Mi Liu; Juncheng Lyu; Yanfeng Ren; Jie Xing; Chunping Wang; Shiwei Liu
    License

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

    Description

    IntroductionAlthough child and adolescent health is the core of the global health agenda, the cause of death and its expected contribution to life expectancy (LE) among those aged 5–14 are under-researched across countries, especially in low- and middle-income countries (LMICs).MethodsDeath rates per 10 years age group including a 5–14-year-old group were calculated by the formula, which used the population and the number of deaths segmented by the cause of death and gender from the 2019 Global Burden of Disease (GBD) study. LE and cause-eliminated LE in 10-year intervals were calculated by using life tables.ResultsIn 2019, the global mortality rate for children and adolescents aged 5–14 years was 0.522 (0.476–0.575) per 1,000, and its LF was 71.377 years. In different-income regions, considerable heterogeneity remains in the ranking of cause of death aged 5–14 years. The top three causes of death in low-income countries (LICs) are enteric infections [0.141 (0.098–0.201) per 1,000], other infectious diseases [0.103 (0.073–0.148) per 1,000], and neglected tropical diseases and malaria [0.102 (0.054–0.172) per 1,000]. Eliminating these mortality rates can increase the life expectancy of the 5–14 age group by 0.085, 0.062, and 0.061 years, respectively. The top three causes of death in upper-middle income countries (upper MICs) are unintentional injuries [0.066 (0.061–0.072) per 1,000], neoplasm [0.046 (0.041–0.050) per 1,000], and transport injuries [0.045 (0.041–0.049) per 1,000]. Eliminating these mortality rates can increase the life expectancy of the 5–14 age group by 0.045, 0.031, and 0.030 years, respectively.ConclusionThe mortality rate for children and adolescents aged 5–14 years among LMICs remains high. Considerable heterogeneity was observed in the main causes of death among regions. According to the main causes of death at 5–14 years old in different regions and countries at different economic levels, governments should put their priority in tailoring their own strategies to decrease preventable mortality.

  7. Leading causes of death, infants

    • www150.statcan.gc.ca
    • ouvert.canada.ca
    Updated Feb 19, 2025
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    Government of Canada, Statistics Canada (2025). Leading causes of death, infants [Dataset]. http://doi.org/10.25318/1310039501-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 mortality rates for the leading causes of infant death (under one year of age), by sex, 2000 to most recent year.

  8. Leading causes of child death in refugee camps/settlements worldwide in 2024...

    • statista.com
    Updated Jan 29, 2024
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    Statista Research Department (2024). Leading causes of child death in refugee camps/settlements worldwide in 2024 [Dataset]. https://www.statista.com/study/163543/refugee-migrant-and-immigrant-health-worldwide/
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    Dataset updated
    Jan 29, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Description

    According to data from 2024 from refugee camps/settlements in 22 countries, the leading cause of death among child refugees under five years of age in such places were neonatal conditions, malaria, lower respiratory tract infections. That year, neonatal conditions accounted for around 24 percent of all deaths among children in refugee camps/settlements. This statistic shows the leading causes of death among children under five years in refugee camps/settlements worldwide in 2024.

  9. 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.

  10. Countries with the highest mortality rate among children aged under five in...

    • statista.com
    Updated Sep 2, 2025
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    Statista (2025). Countries with the highest mortality rate among children aged under five in 2023 [Dataset]. https://www.statista.com/statistics/281580/countries-with-highest-mortality-rate-among-children-aged-under-five/
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    Dataset updated
    Sep 2, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Worldwide
    Description

    In 2023, Niger had the highest mortality rate among children aged under five years, with an average of around 115 children under five years of age dying per one thousand live births. This statistic shows the countries with the highest mortality rate among children aged under five years as of 2023.

  11. B

    Etiology of hospital mortality in children living in low-and middle-income...

    • borealisdata.ca
    Updated Jun 12, 2024
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    Teresa B Kortz; Rishi Mediratta; Audrey M Smith; Katie R Nielsen; Asya Agulnik; Stephanie Gordon Rivera; Hailey Reeves; Nicole F O'Brien; Jan Hau Lee; Qalab Abbas; Jonah E Attebery; Tigist Bacha; Emaan G Bhutta; Carter Biewen; Jhon Camacho-Cruz; Alvaro Coronado Munoz; Mary L DeAlmeida; Larko Domeryo Owusu; Yudy Fonseca; Shubhada Hooli; Mara Leimanis-Laurens; Deogratisu Nicholaus Mally; Amanda M McCarthy; Andrew Mutekanga; Carol Pineda; Kenneth E Remy; Sara C. Sanders; Erica Tabor; Adriana Rodrigues Teixeira; Justin Qi Jyuee Want; Niranjan Kissoon; Yemisi Takwoingi; Matthew O Wiens; Adnan Bhutta (2024). Etiology of hospital mortality in children living in low-and middle-income countries: a systematic review and meta-analysis [Dataset]. http://doi.org/10.5683/SP3/2UKUKW
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 12, 2024
    Dataset provided by
    Borealis
    Authors
    Teresa B Kortz; Rishi Mediratta; Audrey M Smith; Katie R Nielsen; Asya Agulnik; Stephanie Gordon Rivera; Hailey Reeves; Nicole F O'Brien; Jan Hau Lee; Qalab Abbas; Jonah E Attebery; Tigist Bacha; Emaan G Bhutta; Carter Biewen; Jhon Camacho-Cruz; Alvaro Coronado Munoz; Mary L DeAlmeida; Larko Domeryo Owusu; Yudy Fonseca; Shubhada Hooli; Mara Leimanis-Laurens; Deogratisu Nicholaus Mally; Amanda M McCarthy; Andrew Mutekanga; Carol Pineda; Kenneth E Remy; Sara C. Sanders; Erica Tabor; Adriana Rodrigues Teixeira; Justin Qi Jyuee Want; Niranjan Kissoon; Yemisi Takwoingi; Matthew O Wiens; Adnan Bhutta
    License

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

    Dataset funded by
    National Institute of General Medical Sciences
    National Medical Research Council, Singapore
    ational Institute of Allergy and Infectious Diseases
    Fogarty International Center
    Eunice Kennedy Shriver National Institute of Child Health and Human Development
    National Institute for Health Research, Birmingham Biomedical Research Centre of the National Health Services
    American Lung Association
    National Institutes of Health (NIH), the Conquer Cancer Foundation (AA), the National Cancer Institute
    Description

    Background: In 2019, 80% of the 7.4 million global child deaths occurred in low- and middle-income countries (LMICs). Global and regional estimates of cause of hospital death and admission in LMIC children are needed to guide global and local priority setting and resource allocation but are currently lacking. The study objective was to estimate global and regional prevalence for common causes of pediatric hospital mortality and admission in LMICs. Methods: We performed a systematic review and meta-analysis to identify LMIC observational studies published January 1, 2005-February 26, 2021. Eligible studies included: a general pediatric admission population, a cause of admission or death, and total admissions. We excluded studies with data before 2000 or without a full text. Two authors independently screened and extracted data. We performed methodological assessment using domains adapted from the Quality in Prognosis Studies tool. Data were pooled using random-effects models where possible. We reported prevalence as a proportion of cause of death or admission per 1000 admissions with 95% confidence intervals (95%CI). Findings: ur search identified 29,637 texts. After duplicate removal and screening, we analyzed 253 studies representing 21.8 million pediatric hospitalizations in 59 LMICs. All-cause pediatric hospital mortality was 4.1% [95%CI 3.4-4.7%]. The most common causes of mortality (deaths/1000 admissions) were infectious (12 [95%CI 9-14]); respiratory (9 [95%CI 5-13]); and gastrointestinal (9 [95%CI 6-11]). Common causes of admission (cases/1000 admissions) were respiratory (255 [95%CI 231-280]); infectious (214 [95%CI193-234]); and gastrointestinal (166 [95%CI 143-190]). We observed regional variation in estimates. Pediatric hospital mortality remains high in LMICs. Implications: Global child health efforts must include measures to reduce hospital mortality including basic emergency and critical care services tailored to the local disease burden. Resources are urgently needed to promote equity in child health research, support researchers, and collect high-quality data in LMICs to further guide priority setting and resource allocation. NOTE for restricted files: If you are not yet a CoLab member, please complete our membership application survey to gain access to restricted files within 2 business days. Some files may remain restricted to CoLab members. These files are deemed more sensitive by the file owner and are meant to be shared on a case-by-case basis. Please contact the CoLab coordinator at sepsiscolab@bcchr.ca or visit our website.

  12. f

    Direct estimates of cause-specific mortality fractions and rates of...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    docx
    Updated Jun 2, 2023
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    Adeyinka Adewemimo; Henry D. Kalter; Jamie Perin; Alain K. Koffi; John Quinley; Robert E. Black (2023). Direct estimates of cause-specific mortality fractions and rates of under-five deaths in the northern and southern regions of Nigeria by verbal autopsy interview [Dataset]. http://doi.org/10.1371/journal.pone.0178129
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    docxAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Adeyinka Adewemimo; Henry D. Kalter; Jamie Perin; Alain K. Koffi; John Quinley; Robert E. Black
    License

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

    Area covered
    Nigeria
    Description

    Nigeria’s under-five mortality rate is the eighth highest in the world. Identifying the causes of under-five deaths is crucial to achieving Sustainable Development Goal 3 by 2030 and improving child survival. National and international bodies collaborated in this study to provide the first ever direct estimates of the causes of under-five mortality in Nigeria. Verbal autopsy interviews were conducted of a representative sample of 986 neonatal and 2,268 1–59 month old deaths from 2008 to 2013 identified by the 2013 Nigeria Demographic and Health Survey. Cause of death was assigned by physician coding and computerized expert algorithms arranged in a hierarchy. National and regional estimates of age distributions, mortality rates and cause proportions, and zonal- and age-specific mortality fractions and rates for leading causes of death were evaluated. More under-fives and 1–59 month olds in the South, respectively, died as neonates (N = 24.1%, S = 32.5%, p

  13. Georgia - Health Indicators

    • data.humdata.org
    csv
    Updated Oct 15, 2025
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    World Health Organization (2025). Georgia - Health Indicators [Dataset]. https://data.humdata.org/dataset/who-data-for-geo
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    csv(6514381), csv(5994), csv(11952), csv(101175), csv(1345162), csv(19752), csv(2226), csv(5990), csv(4298295), csv(506491), csv(30830), csv(5941), csv(112933), csv(24780), csv(259835), csv(118537), csv(4629), csv(12599), csv(1137203), csv(341707), csv(88429), csv(71311), csv(1224949), csv(9089), csv(506039), csv(6913), csv(1479334), csv(1051934), csv(77440), csv(88616), csv(47046), csv(70175), csv(1463862), csv(1755)Available download formats
    Dataset updated
    Oct 15, 2025
    Dataset provided by
    World Health Organizationhttps://who.int/
    Description

    This dataset contains data from WHO's data portal covering the following categories:

    Adolescent, Ageing, Air pollution, Assistive technology, Child, Child mortality, Cross-cutting, Dementia diagnosis, treatment and care, Environment and health, Foodborne Diseases Estimates, Global Dementia Observatory (GDO), Global Health Estimates: Life expectancy and leading causes of death and disability, Global Information System on Alcohol and Health, Global Patient Safety Observatory, Global strategy, HIV, Health financing, Health systems, Health taxes, Health workforce, Hepatitis, Immunization coverage and vaccine-preventable diseases, Malaria, Maternal and newborn, Maternal and reproductive health, Mental health, Neglected tropical diseases, Noncommunicable diseases, Nutrition, Oral Health, Priority health technologies, Resources for Substance Use Disorders, Road Safety, SDG Target 3.8 | Achieve universal health coverage (UHC), Sexually Transmitted Infections, Tobacco control, Tuberculosis, Vaccine-preventable communicable diseases, Violence prevention, Water, sanitation and hygiene (WASH), World Health Statistics.

    For links to individual indicator metadata, see resource descriptions.

  14. 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.

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

    • cbs.nl
    • data.overheid.nl
    • +1more
    xml
    Updated Jul 3, 2025
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    Centraal Bureau voor de Statistiek (2025). Deaths; underlying cause of death (shortlist), sex, age [Dataset]. https://www.cbs.nl/en-gb/figures/detail/7052eng
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    xmlAvailable download formats
    Dataset updated
    Jul 3, 2025
    Dataset provided by
    Statistics Netherlands
    Authors
    Centraal Bureau voor de Statistiek
    License

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

    Time period covered
    1950 - 2024
    Area covered
    The Netherlands
    Description

    This table contains the number of deaths in the population of the Netherlands by underlying cause of death (short list), sex and age-group (at time of death).

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

    Data available from: 1950

    Status of the figures: The figures up until 2023 are final, the figures of 2024 are provisional.

    Changes as of July 3rd 2025: The provisional figures for 2024 have been added.

    When will new figures be published? The aim is to publish the final figures of 2024 in the fourth quarter of 2025.

  16. B

    Brazil BR: Mortality Rate: Under-5: per 1000 Live Births

    • ceicdata.com
    + more versions
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    CEICdata.com, Brazil BR: Mortality Rate: Under-5: per 1000 Live Births [Dataset]. https://www.ceicdata.com/en/brazil/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, 2011 - Dec 1, 2022
    Area covered
    Brazil
    Description

    BR: Mortality Rate: Under-5: per 1000 Live Births data was reported at 14.400 Ratio in 2023. This records a decrease from the previous number of 14.600 Ratio for 2022. BR: Mortality Rate: Under-5: per 1000 Live Births data is updated yearly, averaging 58.700 Ratio from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 169.400 Ratio in 1960 and a record low of 14.400 Ratio in 2023. BR: Mortality Rate: Under-5: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Brazil – Table BR.World Bank.WDI: Social: Health Statistics. Under-five mortality rate is the probability per 1,000 that a newborn baby will die before reaching age five, if subject to 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 the Sustainable Development Goal indicator 3.2.1[https://unstats.un.org/sdgs/metadata/].

  17. f

    Table 1_Global, regional, and national epidemiology of congenital heart...

    • frontiersin.figshare.com
    docx
    Updated May 16, 2025
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    Jiaoli Xu; Qinhong Li; Lili Deng; Jingxuan Xiong; Zugen Cheng; Caixia Ye (2025). Table 1_Global, regional, and national epidemiology of congenital heart disease in children from 1990 to 2021.docx [Dataset]. http://doi.org/10.3389/fcvm.2025.1522644.s001
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    docxAvailable download formats
    Dataset updated
    May 16, 2025
    Dataset provided by
    Frontiers
    Authors
    Jiaoli Xu; Qinhong Li; Lili Deng; Jingxuan Xiong; Zugen Cheng; Caixia Ye
    License

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

    Description

    BackgroundCongenital heart disease (CHD) is a leading cause of morbidity and mortality in children globally, with significant variations in outcomes across different regions.ObjectiveTo provide comprehensive estimates of CHD prevalence, mortality, and disability-adjusted life years (DALYs) among children under five years old globally from 1990 to 2021.MethodsUsing data from the Global Burden of Disease (GBD) study, trends in CHD prevalence, mortality, and DALYs were analyzed. Mortality estimates were generated using Cause of Death Ensemble modeling, while prevalence and DALYs were estimated using DisMod-MR 2.1. Systematic literature reviews informed the disability estimates.ResultsIn 2021, the global prevalence of CHD in children under five years was over 4.18 million, reflecting a 3.4% increase since 1990. CHD-associated mortality decreased by 56.2%, and DALYs declined by 55.7% from 1990 to 2021. Low and low-middle Socio-Demographic Index (SDI) regions experienced the highest prevalence and mortality rates. South Asia had the highest number of CHD cases, while Oceania had the highest mortality and DALY rates. India had the highest number of cases, while Afghanistan had the highest mortality and DALY rates.ConclusionsCHD remains a significant global health challenge, with substantial disparities in disease burden across regions. Targeted interventions are needed to improve survival and quality of life, particularly in high-burden areas.

  18. g

    Kids Count, Child Death Rate (deaths per 100000 children ages 1-14), USA,...

    • geocommons.com
    Updated May 21, 2008
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    data (2008). Kids Count, Child Death Rate (deaths per 100000 children ages 1-14), USA, 1990-2004 [Dataset]. http://geocommons.com/search.html
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    Dataset updated
    May 21, 2008
    Dataset provided by
    U.S. Centers for Disease Control and Prevention, National Center for Health Statistics
    data
    Description

    Child Death Rate (deaths per 100,000 children ages 114) is the number of deaths to children between ages 1 and 14, from all causes, per 100,000 children in this age range. The data are reported by place of residence, not place of death. SOURCES: * Death Statistics: U.S. Centers for Disease Control and Prevention, National Center for Health Statistics. * Population Statistics: U.S. Census Bureau.

  19. f

    Table_2_Premature Mortality, Risk Factors, and Causes of Death Following...

    • frontiersin.figshare.com
    • datasetcatalog.nlm.nih.gov
    docx
    Updated Jun 11, 2023
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    Jonathan A. Abuga; Symon M. Kariuki; Samson M. Kinyanjui; Michael Boele van Hensbroek; Charles R. Newton (2023). Table_2_Premature Mortality, Risk Factors, and Causes of Death Following Childhood-Onset Neurological Impairments: A Systematic Review.docx [Dataset]. http://doi.org/10.3389/fneur.2021.627824.s002
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    docxAvailable download formats
    Dataset updated
    Jun 11, 2023
    Dataset provided by
    Frontiers
    Authors
    Jonathan A. Abuga; Symon M. Kariuki; Samson M. Kinyanjui; Michael Boele van Hensbroek; Charles R. Newton
    License

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

    Description

    Background: Neurological impairment (NI) and disability are associated with reduced life expectancy, but the risk and magnitude of premature mortality in children vary considerably across study settings. We conducted a systematic review to estimate the magnitude of premature mortality following childhood-onset NI worldwide and to summarize known risk factors and causes of death.Methods: We searched various databases for published studies from their inception up to 31st October 2020. We included all cohort studies that assessed the overall risk of mortality in individuals with childhood-onset epilepsy, intellectual disability (ID), and deficits in hearing, vision and motor functions. Comparative measures of mortality such as the standardized mortality ratio (SMR), risk factors and causes were synthesized quantitatively under each domain of impairment. This review is registered on the PROSPERO database (registration number CRD42019119239).Results: The search identified 2,159 studies, of which 24 studies were included in the final synthesis. Twenty-two (91.7%) studies originated from high-income countries (HICs). The median SMR was higher for epilepsy compared with ID (7.1 [range 3.1–22.4] vs. 2.9 [range 2.0–11.6]). In epilepsy, mortality was highest among younger age groups, comorbid neurological disorders, generalized seizures (at univariable levels), untreatable epilepsy, soon after diagnosis and among cases with structural/metabolic types, but there were no differences by sex. Most deaths (87.5%) were caused by non-epilepsy-related causes. For ID, mortality was highest in younger age groups and girls had a higher risk compared to the general population. Important risk factors for premature mortality were severe-to-profound severity, congenital disorders e.g., Down Syndrome, comorbid neurological disorders and adverse pregnancy and perinatal events. Respiratory infections and comorbid neurological disorders were the leading causes of death in ID. Mortality is infrequently examined in impairments of vision, hearing and motor functions.Summary: The risk of premature mortality is elevated in individuals with childhood-onset NI, particularly in epilepsy and lower in ID, with a need for more studies for vision, hearing, and motor impairments. Survival in NI could be improved through interventions targeting modifiable risk factors and underlying causes.

  20. 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.

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Statista (2025). Global deaths of children under five in 2015, by cause [Dataset]. https://www.statista.com/statistics/221052/causes-of-global-child-death/
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Global deaths of children under five in 2015, by cause

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Dataset updated
Jul 8, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2015
Area covered
Worldwide
Description

This statistic shows the global causes of death of children under five in 2015. Malaria was responsible for **** percent of global deaths of children aged under five, while pneumonia accounted for ** percent of all such deaths.

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