100+ datasets found
  1. Infant Mortality, Deaths Per 1,000 Live Births (LGHC Indicator)

    • data.chhs.ca.gov
    • healthdata.gov
    • +2more
    chart, csv, zip
    Updated Dec 11, 2024
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    California Department of Public Health (2024). Infant Mortality, Deaths Per 1,000 Live Births (LGHC Indicator) [Dataset]. https://data.chhs.ca.gov/dataset/infant-mortality-deaths-per-1000-live-births-lghc-indicator-01
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    zip, csv(1102181), chartAvailable download formats
    Dataset updated
    Dec 11, 2024
    Dataset authored and provided by
    California Department of Public Healthhttps://www.cdph.ca.gov/
    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. Infant mortality in Chile 1905-2020

    • statista.com
    Updated Jul 4, 2024
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    Statista (2024). Infant mortality in Chile 1905-2020 [Dataset]. https://www.statista.com/statistics/1073129/infant-mortality-rate-chile-historical/
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    Dataset updated
    Jul 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Chile
    Description

    At the beginning of the 20th century, the infant mortality rate fluctuated around 300 deaths per thousand live births, meaning that roughly three in ten infants born in these years would not survive past their first birthday. Since 1910, however, Chile's infant mortality rate has consistently fallen, apart from a brief rise in the 1930s as Chile was hit particularly hard by the Great Depression. Infant mortality would fall at its fastest rate in the 1940s and 1950s, due to the expansion of several vaccination campaigns and the introduction of a national healthcare system, which saw dramatic improvements in natal health in the country. While many of thee healthcare initiatives were scaled back by the new administration in the 1950s, infant mortality has continued to fall, although it has stagnated in recent decades. Nonetheless, infant mortality in Chile in 2020is estimated to be just seven deaths per thousand births, meaning that over 99 percent of all newborns will make it past their first birthday.

  3. Infant mortality in Vietnam 1955-2020

    • statista.com
    Updated Aug 9, 2024
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    Statista (2024). Infant mortality in Vietnam 1955-2020 [Dataset]. https://www.statista.com/statistics/1073277/infant-mortality-rate-vietnam-historical/
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    Dataset updated
    Aug 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Vietnam
    Description

    In 1955, the infant mortality rate in Vietnam was just over one hundred deaths per thousand live births, meaning that approximately one of every ten babies born in that year would not survive past their first birthday. Infant mortality would decrease sharply between the 1950s and 1960s, falling to nearly half the 1955 rate by 1970. Declines in infant mortality would slow somewhat in the early 1970s, however, as a decrease of American aid to South Vietnam following President Nixon’s resignation, combined with increasing encroachment by the North Vietnamese army and a recession from the 1973 oil crisis, would place significant strain on many basic health and government services of the South Vietnamese government. Following the fall of Saigon in 1975 and the reunification of Vietnam, child mortality would begin to decline once more, as the country would begin to rapidly modernize in the post-war years. As a result, infant mortality would halve between 1975 and the end of the century, and as infant mortality continues to decline, it is estimated in 2020 that for every thousand children born in Vietnam, over 98% will survive past their first birthday.

  4. Infant deaths and mortality rates, by age group

    • www150.statcan.gc.ca
    • open.canada.ca
    • +1more
    Updated Feb 19, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Infant deaths and mortality rates, by age group [Dataset]. http://doi.org/10.25318/1310071301-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 infant deaths and infant mortality rates, by age group (neonatal and post-neonatal), 1991 to most recent year.

  5. Infant mortality rate in India 2023

    • statista.com
    Updated Jun 13, 2025
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    Statista (2025). Infant mortality rate in India 2023 [Dataset]. https://www.statista.com/statistics/806931/infant-mortality-in-india/
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    Dataset updated
    Jun 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    In 2023, the infant mortality rate in India was at about 24.5 deaths per 1,000 live births, a significant decrease from previous years. Infant mortality as an indicatorThe infant mortality rate is the number of deaths of children under one year of age per 1,000 live births. This rate is an important key indicator for a country’s health and standard of living; a low infant mortality rate indicates a high standard of healthcare. Causes of infant mortality include premature birth, sepsis or meningitis, sudden infant death syndrome, and pneumonia. Globally, the infant mortality rate has shrunk from 63 infant deaths per 1,000 live births to 27 since 1990 and is forecast to drop to 8 infant deaths per 1,000 live births by the year 2100. India’s rural problemWith 32 infant deaths per 1,000 live births, India is neither among the countries with the highest nor among those with the lowest infant mortality rate. Its decrease indicates an increase in medical care and hygiene, as well as a decrease in female infanticide. Increasing life expectancy at birth is another indicator that shows that the living conditions of the Indian population are improving. Still, India’s inhabitants predominantly live in rural areas, where standards of living as well as access to medical care and hygiene are traditionally lower and more complicated than in cities. Public health programs are thus put in place by the government to ensure further improvement.

  6. d

    infant mortality rate

    • data.gov.tw
    csv
    Updated Apr 27, 2022
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    Health Promotion Administration (2022). infant mortality rate [Dataset]. https://data.gov.tw/en/datasets/152384
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    csvAvailable download formats
    Dataset updated
    Apr 27, 2022
    Dataset authored and provided by
    Health Promotion Administration
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description
    1. Data source: Statistics Department of the Ministry of Interior. 2. Definition: The probability of death from birth to less than 1 year old.
  7. A

    Child Mortality Estimates: Infant Mortality Rate

    • data.amerigeoss.org
    • cloud.csiss.gmu.edu
    xls
    Updated Jul 23, 2019
    + more versions
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    UN Humanitarian Data Exchange (2019). Child Mortality Estimates: Infant Mortality Rate [Dataset]. https://data.amerigeoss.org/gl/dataset/8a9bbd0b-2333-4007-b5f0-c0292ae48a4f
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    xls(432128)Available download formats
    Dataset updated
    Jul 23, 2019
    Dataset provided by
    UN Humanitarian Data Exchange
    License

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

    Description

    Infant mortality rate including country, regional, and global breakdown

    Definition:
    Probability of dying between birth and exactly 1 year of age, expressed per 1,000 live births

  8. O

    ARCHIVED - Infant Mortality Cohort Database Subset

    • data.sandiegocounty.gov
    application/rdfxml +5
    Updated Feb 13, 2020
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    County of San Diego (2020). ARCHIVED - Infant Mortality Cohort Database Subset [Dataset]. https://data.sandiegocounty.gov/Health/ARCHIVED-Infant-Mortality-Cohort-Database-Subset/n3cy-f875
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    tsv, application/rdfxml, csv, xml, json, application/rssxmlAvailable download formats
    Dataset updated
    Feb 13, 2020
    Dataset authored and provided by
    County of San Diego
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    For current version see: https://www.sandiegocounty.gov/content/sdc/hhsa/programs/phs/maternal_child_family_health_services/MCFHSstatistics.html

    Infant Mortality - Cohort Dataset Note: The Infant Mortality Rate is infant deaths (under one year of age) per 1,000 live births, by geography. Numerator represents infant's race/ethnicity. Denominator represents mother's race/ethnicity.

    ***API: Asian/Pacific Islander. ***AIAN: American Indian/Alaska Native. Blank Cells: Rates not calculated for fewer than 5 events. Rates not calculated in cases where infant's zip code of residence is unknown.

    Sources: State of California, Department of Public Health, Death Statistical Master Files (before 2014), California Comprehensive Death Files (2014 and later), and Birth Statistical Master Files. Prepared by: County of San Diego, Health & Human Services Agency, Public Health Services, Community Health Statistics Unit, 2019.

    Interpretation: "There were 5 infant deaths per 1,000 live births in Geography X".

    Data Guide, Dictionary, and Codebook: https://www.sandiegocounty.gov/content/dam/sdc/hhsa/programs/phs/CHS/Community%20Profiles/Public%20Health%20Services%20Codebook_Data%20Guide_Metadata_10.2.19.xlsx

  9. d

    1.6.i Infant mortality

    • digital.nhs.uk
    csv, pdf, xlsx
    Updated May 21, 2020
    + more versions
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    (2020). 1.6.i Infant mortality [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/nhs-outcomes-framework/december-2020-supplementary-release
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    pdf(860.1 kB), xlsx(466.4 kB), pdf(199.4 kB), csv(609.4 kB)Available download formats
    Dataset updated
    May 21, 2020
    License

    https://digital.nhs.uk/about-nhs-digital/terms-and-conditionshttps://digital.nhs.uk/about-nhs-digital/terms-and-conditions

    Time period covered
    Jan 1, 1999 - Dec 31, 2018
    Area covered
    England
    Description

    Infant mortality is defined as the number of babies dying before the age of one for every 1,000 live births. Infant mortality is a measure of the longer term consequences of perinatal events and is particularly important for monitoring outcomes for high risk groups such as very preterm babies and growth restricted babies. Legacy unique identifier: P01743

  10. U.S. - Infant mortality rate 1960-2022

    • statista.com
    Updated Oct 18, 2024
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    Statista (2024). U.S. - Infant mortality rate 1960-2022 [Dataset]. https://www.statista.com/statistics/195950/infant-mortality-rate-in-the-united-states-since-1990/
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    Dataset updated
    Oct 18, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2022, the infant mortality rate in the United States was 5.4 out of every 1,000 live births. This is a significant decrease from 1960, when infant mortality was at around 26 deaths out of every 1,000 live births. What is infant mortality? The infant mortality rate is the number of deaths of babies under the age of one per 1,000 live births. There are many causes for infant mortality, which include birth defects, low birth weight, pregnancy complications, and sudden infant death syndrome. In order to decrease the high rates of infant mortality, there needs to be an increase in education and medicine so babies and mothers can receive the proper treatment needed. Maternal mortality is also related to infant mortality. If mothers can attend more prenatal visits and have more access to healthcare facilities, maternal mortality can decrease, and babies have a better chance of surviving in their first year. Worldwide infant mortality rates Infant mortality rates vary worldwide; however, some areas are more affected than others. Afghanistan suffered from the highest infant mortality rate in 2024, and the following 19 countries all came from Africa, with the exception of Pakistan. On the other hand, Slovenia had the lowest infant mortality rate that year. High infant mortality rates can be attributed to lack of sanitation, technological advancements, and proper natal care. In the United States, Massachusetts had the lowest infant mortality rate, while Mississippi had the highest in 2022. Overall, the number of neonatal and post neonatal deaths in the United States has been steadily decreasing since 1995.

  11. O

    ARCHIVED - Infant Mortality VRBIS Database Subset

    • data.sandiegocounty.gov
    application/rdfxml +5
    Updated Feb 13, 2020
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    County of San Diego (2020). ARCHIVED - Infant Mortality VRBIS Database Subset [Dataset]. https://data.sandiegocounty.gov/w/hjej-4y3r/by4r-nr9x?cur=_GmUSUxwln-&from=root
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    tsv, xml, application/rdfxml, csv, application/rssxml, jsonAvailable download formats
    Dataset updated
    Feb 13, 2020
    Dataset authored and provided by
    County of San Diego
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    For current version see: https://www.sandiegocounty.gov/content/sdc/hhsa/programs/phs/maternal_child_family_health_services/MCFHSstatistics.html

    Infant Mortality - VRBIS Dataset Note: This dataset is created from the mortality database. Cases are registered deaths only. The Infant Mortality Rate is infant deaths (under one year of age) per 1,000 live births, by geography. Rates not calculated in cases where infant's zip code of residence is unknown. Numerator represents infant's race/ethnicity. Denominator represents mother's race/ethnicity.

    ***API: Asian/Pacific Islander. ***AIAN: American Indian/Alaska Native. Blank Cells: Rates not calculated for fewer than 5 events.

    Sources: California Department of Public Health, Center for Health Statistics, Office of Health Information and Research, Vital Records Business Intelligence System, 2016.
    Prepared by: County of San Diego, Health & Human Services Agency, Public Health Services, Community Health Statistics Unit, 2019.

    Interpretation: "There were 5 infant deaths per 1,000 live births in Geography X".

    Data Guide, Dictionary, and Codebook: https://www.sandiegocounty.gov/content/dam/sdc/hhsa/programs/phs/CHS/Community%20Profiles/Public%20Health%20Services%20Codebook_Data%20Guide_Metadata_10.2.19.xlsx

  12. W

    Child Mortality Estimates: Sex-Specific Infant Mortality Rate

    • cloud.csiss.gmu.edu
    • data.amerigeoss.org
    • +1more
    xls
    Updated Jun 18, 2019
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    UN Humanitarian Data Exchange (2019). Child Mortality Estimates: Sex-Specific Infant Mortality Rate [Dataset]. http://cloud.csiss.gmu.edu/dataset/03379d20-4372-491c-a028-c7dcecba4338
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    xls(305664)Available download formats
    Dataset updated
    Jun 18, 2019
    Dataset provided by
    UN Humanitarian Data Exchange
    License

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

    Description

    Neonatal mortality rate including country, regional, and global breakdown

    Definition:
    Neonatal mortality rate: Probability of dying during the first 28 days of life, expressed per 1,000 live births

  13. Kenya - Demographics, Health and Infant Mortality Rates

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

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

  14. f

    Inequalities in health: living conditions and infant mortality in...

    • scielo.figshare.com
    jpeg
    Updated May 30, 2023
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    Renata Alves da Silva Carvalho; Victor Santana Santos; Cláudia Moura de Melo; Ricardo Queiroz Gurgel; Cristiane Costa da Cunha Oliveira (2023). Inequalities in health: living conditions and infant mortality in Northeastern Brazil [Dataset]. http://doi.org/10.6084/m9.figshare.5670631.v1
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    jpegAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    SciELO journals
    Authors
    Renata Alves da Silva Carvalho; Victor Santana Santos; Cláudia Moura de Melo; Ricardo Queiroz Gurgel; Cristiane Costa da Cunha Oliveira
    License

    Attribution-NonCommercial 3.0 (CC BY-NC 3.0)https://creativecommons.org/licenses/by-nc/3.0/
    License information was derived automatically

    Area covered
    Northeast Region, Brazil
    Description

    OBJECTIVE To analyze the variation of infant mortality as per condition of life in the urban setting.METHODS Ecological study performed with data regarding registered deaths of children under the age of one who resided in Aracaju, SE, Northeastern Brazil, from 2001 to 2010. Infant mortality inequalities were assessed based on the spatial distribution of the Living Conditions Index for each neighborhood, classified into four strata. The average mortality rates of 2001-2005 and 2006-2010 were compared using the Student’s t-test.RESULTS Average infant mortality rates decreased from 25.3 during 2001-2005 to 17.7 deaths per 1,000 live births in 2006-2010. Despite the decrease in the rates in all the strata during that decade, inequality of infant mortality risks increased in neighborhoods with worse living conditions compared with that in areas with better living conditions.CONCLUSIONS Infant mortality rates in Aracaju showed a decline, but with important differences among neighborhoods. The assessment based on a living condition perspective can explain the differences in the risks of infant mortality rates in urban areas, highlighting health inequalities in infant mortality as a multidimensional issue.

  15. c

    Vital Statistics_Vital statistics of Japan_Final data_Infant...

    • search.ckan.jp
    Updated Oct 15, 2021
    + more versions
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    DATA GO JP データカタログサイト (2021). Vital Statistics_Vital statistics of Japan_Final data_Infant mortality_Yearly_2012 [Dataset]. https://search.ckan.jp/datasets/www.data.go.jp_data_dataset:mhlw_20211015_0074
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    Dataset updated
    Oct 15, 2021
    Authors
    DATA GO JP データカタログサイト
    Area covered
    Japan
    Description

    【リソース】Volume 1_6-1_Trends in infant deaths, infant mortality rates (per 1,000 live births), sex ratio and proportion of infant deaths to total deaths:Japan / Volume 1_6-2_Trends in neonatal deaths, neonatal mortality rates (per 1,000 live births), sex ratio and proportion of neonatal deaths to infant deaths:Japan / Volume 1_6-3_Infant mortality rates (per 100,000 live births) and percent distribution by sex and age (days, weeks and months):Japan, 2012 / Volume 1_6-4_Trends in infant mortality rates (per 100,000 live births) by sex and age (days, weeks and months):Japan / Volume 1_6-5_Trends in infant deaths and infant mortality rates (per 1,000 live births) by month:Japan / Volume 1_6-6_Live births, infant deaths and infant mortality rates (per 1,000 live births) by months of birth:Japan / Volume 1_6-7_Trends in infant deaths and percent distribution by place of occurrence:Japan / Volume 1_6-8_Percent distribution of infant deaths by place of occurrence:Japan, each prefecture and 21 major cities, 2012 / Volume 1_6-9_Infant deaths, infant mortality rates (per 1,000 live births) and percent distribution by type of occupation of household:Japan, 2012 / Volume 1_6-10_Trends in infant deaths by each prefecture:Japan / Volume 1_6-11_Trends in infant mortality rates (per 1,000 live births) by each prefecture:Japan / Volume 1_6-12_Infant mortality rates (per 100,000 live births) by age and proportion of neonatal deaths:Japan, each prefecture and 21 major cities, 2012 / Volume 1_6-13_Trends in infant deaths and infant mortality rates (per 100,000 live births) by causes (the list of causes of infant death):Japan / Volume 1_6-14_Infant deaths and infant mortality rates (per 100,000 live births) by age and causes (the list of causes of infant death):Japan, 2012 / Volume 1_6-15_Percent distribution of infant deaths by age and causes(the list of causes of infant death):Japan, 2012 / Volume 1_6-16_Trends in leading causes of neonatal and infant death:Japan / Volume 1_6-17_Infant mortality rates (per 100,000 live births) by causes (the list of causes of infant death):Japan, each prefecture and 21 major cities, 2012 / Volume 1_6-18_Infant deaths and infant mortality rates (per 100,000 live births) by diseases, causes (the list of causes of infant death) and birth weight:Japan, 2012 / Volume 1_6-19_Neonatal deaths and neonatal mortality rates (per 100,000 live births) by diseases, causes (the list of causes of infant death) and birth weight:Japan, 2012 / Volume 2_1_Infant deaths (under 1 year), neonatal deaths (under 4 weeks) by sex and month of occurrence:Japan, urban/rural residence, each prefecture and 21 major cities / Volume 2_2_Infant deaths (under 1 year) by age and sex:Japan, urban/rural residence, each prefecture and 21 major cities / Volume 2_3_Infant deaths (under 1 year) by age, sex and type of occupation of household:Japan / Volume 2_4_Infant deaths (under 1 year) by month of occurrence and date of birth:Japan / Volume 2_5_Infant deaths (under 1 year) from diseases, birth weight and mean birth weight by sex, plurality of birth and age of mother:Japan / Volume 2_6_Infant deaths (under 1 year) from diseases, birth weight and mean birth weight by sex, plurality of birth and birth order:Japan / Volume 2_7_Infant deaths (under 1 year) from diseases, birth weight and mean birth weight by sex and period of gestation:Japan / Volume 3_1_Infant deaths (under 1 year) by causes (the list of causes of infant death), sex and age:Japan / Volume 3_2_Infant deaths (under 1 year) and neonatal deaths (under 4 weeks) by causes (the list of causes of infant death) and sex:Japan, each prefecture and 21 major cities / Volume 3_3_Infant deaths (under 1 year) and neonatal deaths (under 4 weeks) by causes (the list of causes of infant death), sex and month of occurrence:Japan / Volume 3_4_Infant deaths (under 1 year), neonatal deaths (under 4 weeks) and early neonatal deaths (under 1 week) from diseases by causes (the list of causes of infant death), sex and birth weight:Japan / Volume 3_5_Infant deaths (under 1 year), neonatal deaths (under 4 weeks) and early neonatal deaths (under 1 week) from diseases by causes (the list of causes of infant death), sex and period of gestation:Japan / Vital Statistics_Vital statistics of Japan_Final data_Infant mortality_Yearly_2012 / Volume 1_6-1_Trends in infant deaths, infant mortality rates (per 1,000 live births), sex ratio and proportion of infant deaths to total deaths:Japan,Volume 1_6-2_Trends in neonatal deaths, neonatal mortality rates (per 1,000 live births), sex ratio and proportion of neonatal deaths to infant deaths:Japan,Volume 1_6-3_Infant mortality rates (per 100,000 live births) and percent distribution by sex and age (days, weeks and months):Japan, 2012,Volume 1_6-4_Trends in infant mortality rates (per 100,000 live births) by sex and age (days, weeks and months):Japan,Volume 1_6-5_Trends in infant deaths and infant mortality rates (per 1,000 live births) by month:Japan,Volume 1_6-6_

  16. Infant mortality in Sudan 1955-2020

    • statista.com
    Updated Jul 31, 2024
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    Statista (2024). Infant mortality in Sudan 1955-2020 [Dataset]. https://www.statista.com/statistics/1073249/infant-mortality-rate-sudan-historical/
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    Dataset updated
    Jul 31, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Sudan
    Description

    In 1955, the infant mortality rate in Sudan was estimated to be 135 deaths per thousand live births, meaning that almost 14 percent of babies born in this year would not survive past their first birthday. This figure would decline greatly throughout the 1950s to 1970s, as rising oil exports and significant foreign direct investment would allow for substantial improvements in healthcare and nutrition access in the country. While this decline in mortality would continue throughout the remainder of the 20th century, the rate of decline would slow drastically beginning in the 1980s, as the Second Sudanese Civil War would cause widespread disruption of health services, and result in severe food and medical shortages in the country. The rate of decline would increase once more beginning in the late 1990s, however, as a winding down in the conflict and the eventual ceasefire would allow for the return of many humanitarian and government health and food programs. As a result, infant mortality has declined greatly in the 21st century, and in 2020, it is estimated that Sudan has an infant mortality rate of 43 deaths per thousand births.

  17. w

    Infant death rate (per 1,000 live births), New Jersey, by year: Beginning...

    • data.wu.ac.at
    • healthdata.nj.gov
    application/excel +5
    Updated Aug 30, 2017
    + more versions
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    Darrell Cabales (2017). Infant death rate (per 1,000 live births), New Jersey, by year: Beginning 2010 [Dataset]. https://data.wu.ac.at/odso/healthdata_nj_gov/NjhweC15bmpt
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    application/excel, json, csv, xml, application/xml+rdf, xlsxAvailable download formats
    Dataset updated
    Aug 30, 2017
    Dataset provided by
    Darrell Cabales
    Area covered
    New Jersey
    Description

    Rate: Number of deaths occurring in infants under 1 year of age in a given year per 1,000 live births.

    Definition: Rate of death occurring under 1 year of age in a given year per 1,000 live births to resident mothers in the same year.

    Data Sources: (1) New Jersey Birth Certificate Database, (2) Linked Infant Death-Birth Database, New Jersey

    History: MAR 2014 - 2020 target based on 2007 data.

    MAR 2017 - Baseline year changed from 2007 to 2010. - 2020 targets modified to reflect a 10% improvement over 2010 baseline for total population and all racial/ethnic groups

  18. f

    Data from: INFANT MORTALITY AND FAMILY HEALTH STRATEGY IN THE 3RD HEALTH...

    • scielo.figshare.com
    png
    Updated Jul 18, 2023
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    Geovani Allan Broday; Ana Cláudia Garabeli Cavalli Kluthcovsky (2023). INFANT MORTALITY AND FAMILY HEALTH STRATEGY IN THE 3RD HEALTH REGIONAL OF PARANÁ, FROM 2005 TO 2016 [Dataset]. http://doi.org/10.6084/m9.figshare.23701937.v1
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    pngAvailable download formats
    Dataset updated
    Jul 18, 2023
    Dataset provided by
    SciELO journals
    Authors
    Geovani Allan Broday; Ana Cláudia Garabeli Cavalli Kluthcovsky
    License

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

    Description

    ABSTRACT Objective: To analyze the temporal trend in infant mortality and in populational coverage by the Family Health Strategy and associated factors with infant mortality in the municipalities of the 3rd Health Regional of Paraná, Southern Brazil. Methods: Ecological time series study, with data from the Mortality Information System (Sistema de Informação Sobre Mortalidade - SIM), the Live Birth Information System (Sistema de Informação Sobre Nascidos Vivos - SINASC) and the Support Room for Strategic Management (Sala de Apoio à Gestão Estratégica - SAGE), from 2005 to 2016. Trends were calculated using polynomial regression. The associated factors with infant mortality were maternal, perinatal and obstetric variables. The significance level adopted was 5%. Results: Between 2005 and 2016, there were 115,796 births and 1,575 deaths of children under 1 year of age. Considering the municipalities together, the populational coverage by the Family Health Strategy went from 43.8% in 2005 to 66.4% in 2016 and the infant mortality from 17.1/1,000 live births in 2005 to 10.7/1,000 live births in 2016. The trend over time of populational coverage by the Family Health Strategy was crescent and of infant mortality was decrescent, for most municipalities. The factors associated with greater chances of death in children under 1 year of age were preterm gestational age (Odds Ratio - OR=15.05; 95% confidence interval - 95CI% 13.54-16.72), low birth weight (OR=15.14; 95%CI 13.61-16.84), multiple gestation (OR=4.51; 95%CI 3.74-5.45) and mother with up to 7 years of study (OR=1.93; 95%CI 1.74-2.14). Conclusions: Crescent trend in coverage by the Family Health Strategy was accompanied by a decrescent trend in infant mortality. The results can be a source of information for the strengthening of mother-child health actions, considering local and regional specificities.

  19. e

    Health reporting Berlin: Health Indicator 3.54 — Infant mortality rate in...

    • data.europa.eu
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    Senatsverwaltung für Gesundheit und Soziales Berlin, Health reporting Berlin: Health Indicator 3.54 — Infant mortality rate in the first year of life per 1 000 liveborn, country by regional comparison, 3-year mean values L [Dataset]. https://data.europa.eu/set/data/df5f7fe2-67c3-4788-aad6-77bfe71a0c76
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    htmlAvailable download formats
    Dataset authored and provided by
    Senatsverwaltung für Gesundheit und Soziales Berlin
    License

    http://dcat-ap.de/def/licenses/cc-byhttp://dcat-ap.de/def/licenses/cc-by

    Area covered
    Berlin
    Description

    Provision of 8 documents (8 XLS files) for the period from 31.12.2003 to 31.12.2013 with the spatial reference of Berlin districts.

  20. Qatar - Demographics, Health and Infant Mortality Rates

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

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

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California Department of Public Health (2024). Infant Mortality, Deaths Per 1,000 Live Births (LGHC Indicator) [Dataset]. https://data.chhs.ca.gov/dataset/infant-mortality-deaths-per-1000-live-births-lghc-indicator-01
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Infant Mortality, Deaths Per 1,000 Live Births (LGHC Indicator)

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zip, csv(1102181), chartAvailable download formats
Dataset updated
Dec 11, 2024
Dataset authored and provided by
California Department of Public Healthhttps://www.cdph.ca.gov/
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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