20 datasets found
  1. U.S. infant mortality rate by state 2022

    • statista.com
    Updated Aug 26, 2024
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    Statista (2024). U.S. infant mortality rate by state 2022 [Dataset]. https://www.statista.com/statistics/252064/us-infant-mortality-rate-by-ethnicity-2011/
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    Dataset updated
    Aug 26, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    United States
    Description

    In 2022, the state of Mississippi had the highest infant mortality rate in the United States, with around 9.11 deaths per 1,000 live births. Infant mortality is the death of an infant before the age of one. The countries with the lowest infant mortality rates worldwide are Slovenia, Singapore, and Iceland. The countries with the highest infant mortality rates include Afghanistan, Somalia, and the Central African Republic. Causes of infant mortality Rates and causes of infant mortality are different depending on the country and region. However, the leading causes of neonatal deaths include preterm birth complications, intrapartum-related events, and sepsis. The leading causes of death among children aged 1 to 59 months are pneumonia, diarrhea, and injury. In the United States The infant mortality rate in the United States has decreased over the past few decades, reaching a low of 5.4 deaths per 1,000 live births in 2021. The most common causes of infant death in the United States are congenital malformations, low birth weight, and sudden infant death syndrome. In 2022, congenital malformations accounted for around 108 infant deaths per 100,000 live births.

  2. 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.

  3. 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, 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.

  4. Infant mortality rate in the U.S. in 2022 and 2023, by maternal race and...

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Infant mortality rate in the U.S. in 2022 and 2023, by maternal race and ethnicity [Dataset]. https://www.statista.com/statistics/260521/infant-mortality-rate-in-the-us-by-race-ethnicity-of-mother/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Infant mortality rates in the United States reveal significant disparities among racial and ethnic groups. In 2023, Black mothers faced the highest rate at nearly 11 deaths per 1,000 live births, more than double the rate for white mothers. This stark contrast persists despite overall improvements in healthcare and highlights the need for targeted interventions to address these inequalities. Birth rates and fertility trends While infant mortality rates vary, birth rates also differ across ethnicities. Native Hawaiian and Pacific Islander women had the highest fertility rate in 2022, with about 2,237.5 births per 1,000 women, far exceeding the national average of 1,656.5. In 2023, this group maintained the highest birth rate at 79 births per 1,000 women. Asian women, by contrast, had a much lower birth rate of around 50 per thousand women. These differences in fertility rates can impact overall population growth and demographic shifts within the United States. Hispanic birth trends and fertility decline The Hispanic population in the United States has experienced significant changes in birth trends over recent decades. In 2021, 885,916 babies were born to Hispanic mothers, with a birth rate of 14.1 per 1,000 of the Hispanic population. This represents a slight increase from the previous year. However, the fertility rate among Hispanic women has declined dramatically since 1990, dropping from 108 children per 1,000 women aged 15-44 to 63.4 in 2021. This decline aligns with broader trends of decreasing fertility rates in more industrialized nations.

  5. G

    Infant mortality in South America | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated May 10, 2020
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    Globalen LLC (2020). Infant mortality in South America | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/infant_mortality/South-America/
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    excel, xml, csvAvailable download formats
    Dataset updated
    May 10, 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
    South America, World
    Description

    The average for 2021 based on 12 countries was 14 deaths per 1000 live births. The highest value was in Guyana: 23 deaths per 1000 live births and the lowest value was in Chile: 6 deaths per 1000 live births. The indicator is available from 1960 to 2022. Below is a chart for all countries where data are available.

  6. Countries with the highest infant mortality rate 2024

    • statista.com
    Updated Apr 16, 2025
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    Statista (2025). 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 updated
    Apr 16, 2025
    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.

  7. Countries with the lowest infant mortality rate 2024

    • statista.com
    Updated Apr 16, 2025
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    Statista (2025). Countries with the lowest infant mortality rate 2024 [Dataset]. https://www.statista.com/statistics/264717/countries-with-the-lowest-infant-mortality-rate/
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    Dataset updated
    Apr 16, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    This statistic shows the 20 countries * with the lowest infant mortality rate in 2024. An estimated 1.5 out of 1,000 live births died in the first year of life in Slovenia and Singapore in 2024. Infant mortality Infant mortality rates are often used as an indicator of the health and well-being of a nation. Monaco, Iceland, and Japan are among the top three countries with the lowest infant mortality rates with around 2 infant deaths per 1,000 infants within their first year of life. Generally, the countries with the lowest infant mortality also have some of the highest average life expectancy figures. Additionally, the countries with the highest density of physicians and doctors also generally report low infant mortality. Yet, many different factors contribute to differing rates, including the overall income of a country, health spending per capita, a mother’s level of education, environmental conditions, and medical infrastructure, to name a few. This creates a lot of variation concerning the level of childbirth and infant care around the world. The countries with the highest rates of infant mortality include Afghanistan, Mali, and Somalia. These countries experience around 100 infant deaths per 1,000 infants in their first year of life. While the reasons for high rates of infant mortality are numerous, the leading causes of death for children under the year five around the world are Pneumonia, Diarrhea, and Prematurity.

  8. G

    Infant mortality in North America | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated May 10, 2020
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    Globalen LLC (2020). Infant mortality in North America | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/infant_mortality/North-America/
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    csv, xml, excelAvailable download formats
    Dataset updated
    May 10, 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 21 countries was 15 deaths per 1000 live births. The highest value was in Haiti: 45 deaths per 1000 live births and the lowest value was in Canada: 4 deaths per 1000 live births. The indicator is available from 1960 to 2022. Below is a chart for all countries where data are available.

  9. Leading causes of infant death in the United States 2023

    • statista.com
    Updated Jan 7, 2025
    + more versions
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    Statista (2025). Leading causes of infant death in the United States 2023 [Dataset]. https://www.statista.com/statistics/946675/leading-causes-of-infant-death-in-the-us/
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    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    The leading causes of infant death in the United States are congenital malformations, low birth weight, and sudden infant death syndrome. In 2023, congenital malformations accounted for around 20 percent of all infant deaths in the United States. Infant mortality in the United States Infant mortality refers to the death of a child under the age of one. In the United States, there were around 20,577 infant deaths in 2022. However, the infant mortality rate in the United States has decreased steadily over the past few decades. In 1990, the infant mortality rate was 9.4 per 1,000 live births, but had dropped to around 5.4 per 1,000 live births by 2022. Rates of infant mortality do vary depending on the state and region. For example, the infant mortality rate in Mississippi in 2022 was 9.11 per 1,000 live births, compared to a rate of just 3.32 per 1,000 live births in Massachusetts. What is sudden infant death syndrome (SIDS)? Sudden infant death syndrome (SIDS) is the third leading cause of infant death in the United States with a rate of around 40 deaths per 100,000 live births. SIDS is the unexplained death of an infant. In such cases, the baby usually seems to be healthy but suddenly dies, often during sleep. The cause of SIDS is unknown, but may be connected to problems in the brain controlling breathing and waking from sleep. In 2022, there were an estimated 1,531 deaths from SIDS in the United States. Mississippi and Arkansas are the states with the highest rates of sudden unexpected infant death, while Massachusetts and California have the lowest rates.

  10. B

    Burundi's Infant mortality rate(1964 to 2019)

    • en.graphtochart.com
    csv
    Updated Jul 1, 2021
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    LBB Limited Liability Company (2021). Burundi's Infant mortality rate(1964 to 2019) [Dataset]. https://en.graphtochart.com/health/burundi-mortality-rate-infant-per-1-000-live-births.php
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    csvAvailable download formats
    Dataset updated
    Jul 1, 2021
    Dataset authored and provided by
    LBB Limited Liability Company
    License

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

    Time period covered
    1964 - 2019
    Area covered
    Description

    Burundi's Infant mortality rate is 39.9[Per 1,000 live births] which is the 32nd highest in the world ranking. Transition graphs on Infant mortality rate in Burundi and comparison bar charts (USA vs. China vs. Japan vs. Burundi), (Tunisia vs. Bolivia, Plurinational State of vs. Burundi) are used for easy understanding. Various data can be downloaded and output in csv format for use in EXCEL free of charge.

  11. f

    Univariate Model Fits for Infant, Ages 1–4, and Ages 5–14 Mortality Rates.

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 2, 2023
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    Jessica K. Athens; Patrick L. Remington; Ronald E. Gangnon (2023). Univariate Model Fits for Infant, Ages 1–4, and Ages 5–14 Mortality Rates. [Dataset]. http://doi.org/10.1371/journal.pone.0130027.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Jessica K. Athens; Patrick L. Remington; Ronald E. Gangnon
    License

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

    Description

    Univariate Model Fits for Infant, Ages 1–4, and Ages 5–14 Mortality Rates.

  12. u

    Nigeria - Demographics, Health and Infant Mortality Rates

    • data.unicef.org
    Updated Sep 9, 2015
    + more versions
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    UNICEF (2015). Nigeria - Demographics, Health and Infant Mortality Rates [Dataset]. https://data.unicef.org/country/nga/
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    Dataset updated
    Sep 9, 2015
    Dataset authored and provided by
    UNICEF
    Area covered
    Nigeria
    Description

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

  13. Maternal mortality rates worldwide in 2022, by country

    • statista.com
    Updated Dec 12, 2024
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    Statista (2024). Maternal mortality rates worldwide in 2022, by country [Dataset]. https://www.statista.com/statistics/1240400/maternal-mortality-rates-worldwide-by-country/
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    Dataset updated
    Dec 12, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    Worldwide
    Description

    Maternal mortality rates can vary significantly around the world. For example, in 2022, Estonia had a maternal mortality rate of zero per 100,000 live births, while Mexico reported a rate of 38 deaths per 100,000 live births. However, the regions with the highest number of maternal deaths are Sub-Saharan Africa and Southern Asia, with differences between countries and regions often reflecting inequalities in health care services and access. Most causes of maternal mortality are preventable and treatable with the most common causes including severe bleeding, infections, complications during delivery, high blood pressure during pregnancy, and unsafe abortion. Maternal mortality in the United States In 2022, there were a total of 817 maternal deaths in the United States. Women aged 25 to 39 years accounted for 578 of these deaths, however, rates of maternal mortality are much higher among women aged 40 years and older. In 2022, the rate of maternal mortality among women aged 40 years and older in the U.S. was 87 per 100,000 live births, compared to a rate of 21 among women aged 25 to 39 years. The rate of maternal mortality in the U.S. has risen in recent years among all age groups. Differences in maternal mortality in the U.S. by race/ethnicity Sadly, there are great disparities in maternal mortality in the United States among different races and ethnicities. In 2022, the rate of maternal mortality among non-Hispanic white women was about 19 per 100,000 live births, while non-Hispanic Black women died from maternal causes at a rate of almost 50 per 100,000 live births. Rates of maternal mortality have risen for white and Hispanic women in recent years, but Black women have by far seen the largest increase in maternal mortality. In 2022, around 253 Black women died from maternal causes in the United States.

  14. What is the Life Expectancy of Black People in the U.S.?

    • gis-for-racialequity.hub.arcgis.com
    Updated Jun 18, 2020
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    Urban Observatory by Esri (2020). What is the Life Expectancy of Black People in the U.S.? [Dataset]. https://gis-for-racialequity.hub.arcgis.com/maps/e18d0cdecbd9440c84757853f0700bf8
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    Dataset updated
    Jun 18, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Urban Observatory by Esri
    Area covered
    Description

    This multi-scale map shows life expectancy - a widely-used measure of health and mortality. From the 2020 County Health Rankings page about Life Expectancy:"Life Expectancy is an AverageLife Expectancy measures the average number of years from birth a person can expect to live, according to the current mortality experience (age-specific death rates) of the population. Life Expectancy takes into account the number of deaths in a given time period and the average number of people at risk of dying during that period, allowing us to compare data across counties with different population sizes.Life Expectancy is Age-AdjustedAge is a non-modifiable risk factor, and as age increases, poor health outcomes are more likely. Life Expectancy is age-adjusted in order to fairly compare counties with differing age structures.What Deaths Count Toward Life Expectancy?Deaths are counted in the county where the individual lived. So, even if an individual dies in a car crash on the other side of the state, that death is attributed to his/her home county.Some Data are SuppressedA missing value is reported for counties with fewer than 5,000 population-years-at-risk in the time frame.Measure LimitationsLife Expectancy includes mortality of all age groups in a population instead of focusing just on premature deaths and thus can be dominated by deaths of the elderly.[1] This could draw attention to areas with higher mortality rates among the oldest segment of the population, where there may be little that can be done to change chronic health problems that have developed over many years. However, this captures the burden of chronic disease in a population better than premature death measures.[2]Furthermore, the calculation of life expectancy is complex and not easy to communicate. Methodologically, it can produce misleading results caused by hidden differences in age structure, is sensitive to infant and child mortality, and tends to be overestimated in small populations."Click on the map to see a breakdown by race/ethnicity in the pop-up: Full details about this measureThere are many factors that play into life expectancy: rates of noncommunicable diseases such as cancer, diabetes, and obesity, prevalence of tobacco use, prevalence of domestic violence, and many more.Data from County Health Rankings 2020 (in this layer and referenced below), available for nation, state, and county, and available in ArcGIS Living Atlas of the World

  15. 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.

  16. Where should we focus on improving life expectancy?

    • data.amerigeoss.org
    esri rest, html
    Updated Jun 23, 2020
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    ESRI (2020). Where should we focus on improving life expectancy? [Dataset]. https://data.amerigeoss.org/dataset/where-should-we-focus-on-improving-life-expectancy
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    esri rest, htmlAvailable download formats
    Dataset updated
    Jun 23, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Description

    This multi-scale map shows life expectancy - a widely-used measure of health and mortality. From the 2020 County Health Rankings page about Life Expectancy:


    "Life Expectancy is an Average

    Life Expectancy measures the average number of years from birth a person can expect to live, according to the current mortality experience (age-specific death rates) of the population. Life Expectancy takes into account the number of deaths in a given time period and the average number of people at risk of dying during that period, allowing us to compare data across counties with different population sizes.

    Life Expectancy is Age-Adjusted

    Age is a non-modifiable risk factor, and as age increases, poor health outcomes are more likely. Life Expectancy is age-adjusted in order to fairly compare counties with differing age structures.

    What Deaths Count Toward Life Expectancy?

    Deaths are counted in the county where the individual lived. So, even if an individual dies in a car crash on the other side of the state, that death is attributed to his/her home county.

    Some Data are Suppressed

    A missing value is reported for counties with fewer than 5,000 population-years-at-risk in the time frame.

    Measure Limitations

    Life Expectancy includes mortality of all age groups in a population instead of focusing just on premature deaths and thus can be dominated by deaths of the elderly.[1] This could draw attention to areas with higher mortality rates among the oldest segment of the population, where there may be little that can be done to change chronic health problems that have developed over many years. However, this captures the burden of chronic disease in a population better than premature death measures.[2]

    Furthermore, the calculation of life expectancy is complex and not easy to communicate. Methodologically, it can produce misleading results caused by hidden differences in age structure, is sensitive to infant and child mortality, and tends to be overestimated in small populations."

    Breakdown by race/ethnicity in pop-up:


    There are many factors that play into life expectancy: rates of noncommunicable diseases such as cancer, diabetes, and obesity, prevalence of tobacco use, prevalence of domestic violence, and many more.

    Data from County Health Rankings 2020 (in this layer and referenced below), available for nation, state, and county, and available in ArcGIS Living Atlas of the World

  17. Where should we focus on improving life expectancy?

    • coronavirus-disasterresponse.hub.arcgis.com
    • coronavirus-resources.esri.com
    • +1more
    Updated Mar 26, 2020
    + more versions
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    Urban Observatory by Esri (2020). Where should we focus on improving life expectancy? [Dataset]. https://coronavirus-disasterresponse.hub.arcgis.com/maps/af2472aaa9e94814b06e950db53f18f3
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    Dataset updated
    Mar 26, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Urban Observatory by Esri
    Area covered
    Description

    This multi-scale map shows life expectancy - a widely-used measure of health and mortality. From the County Health Rankings page about Life Expectancy:"Life Expectancy is an AverageLife Expectancy measures the average number of years from birth a person can expect to live, according to the current mortality experience (age-specific death rates) of the population. Life Expectancy takes into account the number of deaths in a given time period and the average number of people at risk of dying during that period, allowing us to compare data across counties with different population sizes.Life Expectancy is Age-AdjustedAge is a non-modifiable risk factor, and as age increases, poor health outcomes are more likely. Life Expectancy is age-adjusted in order to fairly compare counties with differing age structures.What Deaths Count Toward Life Expectancy?Deaths are counted in the county where the individual lived. So, even if an individual dies in a car crash on the other side of the state, that death is attributed to his/her home county.Some Data are SuppressedA missing value is reported for counties with fewer than 5,000 population-years-at-risk in the time frame.Measure LimitationsLife Expectancy includes mortality of all age groups in a population instead of focusing just on premature deaths and thus can be dominated by deaths of the elderly.[1] This could draw attention to areas with higher mortality rates among the oldest segment of the population, where there may be little that can be done to change chronic health problems that have developed over many years. However, this captures the burden of chronic disease in a population better than premature death measures.[2]Furthermore, the calculation of life expectancy is complex and not easy to communicate. Methodologically, it can produce misleading results caused by hidden differences in age structure, is sensitive to infant and child mortality, and tends to be overestimated in small populations."Breakdown by race/ethnicity in pop-up: (This map has been updated with new data, so figures may vary from those in this image.)There are many factors that play into life expectancy: rates of noncommunicable diseases such as cancer, diabetes, and obesity, prevalence of tobacco use, prevalence of domestic violence, and many more.Proven strategies to improve life expectancy and health in general A database of dozens of strategies can be found at County Health Rankings' What Works for Health site, sorted by Health Behaviors, Clinical Care, Social & Economic Factors, and Physical Environment. Policies and Programs listed here have been evaluated as to their effectiveness. For example, consumer-directed health plans received an evidence rating of "mixed evidence" whereas cultural competence training for health care professionals received a rating of "scientifically supported." Data from County Health Rankings (layer referenced below), available for nation, state, and county, and available in ArcGIS Living Atlas of the World.

  18. Infant mortality rate in Nigeria 2023, by gender

    • statista.com
    Updated Sep 30, 2024
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    Statista (2024). Infant mortality rate in Nigeria 2023, by gender [Dataset]. https://www.statista.com/statistics/1203486/infant-mortality-rate-in-nigeria-by-gender/
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    Dataset updated
    Sep 30, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Nigeria
    Description

    As of 2023, the mortality rate of infants aged under one-year-old in Nigeria was measured at 55.17. This means that there were about 55 deaths of children under the age of one year per 1,000 live births. Child mortality rates in Africa are very high. Among the countries with the highest infant mortality rate in the world, almost all of them are African countries. Similarly, maternal mortality rates are high. In 2017, Nigeria recorded 917 deaths of mothers per 100,000 live births.

  19. Health care outcomes ranking of 11 select countries' health care systems...

    • statista.com
    Updated Dec 11, 2023
    + more versions
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    Statista (2023). Health care outcomes ranking of 11 select countries' health care systems 2021 [Dataset]. https://www.statista.com/statistics/1290458/health-care-system-health-outcomes-ranking-of-select-countries/
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    Dataset updated
    Dec 11, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    Worldwide
    Description

    According to a 2021 health care systems ranking among selected high-income countries, the United States came last in the overall ranking of its health care system performance. The overall ranking was based on five performance categories, including access to care, care process, administrative efficiency, equity, and health care outcomes. For the category health care outcomes, which takes into account health outcomes most likely to be responsive to health care, the U.S. was ranked last, while Australia took first place. Outcomes such as infant mortality or preventable mortality were included. This statistic present the health care outcomes rankings of the United States' health care system compared to ten other high-income countries in 2021.

  20. Life expectancy in North America 2022

    • statista.com
    Updated Jul 5, 2024
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    Statista (2024). Life expectancy in North America 2022 [Dataset]. https://www.statista.com/statistics/274513/life-expectancy-in-north-america/
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    Dataset updated
    Jul 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    North America
    Description

    This statistic shows the average life expectancy in North America for those born in 2022, by gender and region. In Canada, the average life expectancy was 80 years for males and 84 years for females.

    Life expectancy in North America

    Of those considered in this statistic, the life expectancy of female Canadian infants born in 2021 was the longest, at 84 years. Female infants born in America that year had a similarly high life expectancy of 81 years. Male infants, meanwhile, had lower life expectancies of 80 years (Canada) and 76 years (USA).

    Compare this to the worldwide life expectancy for babies born in 2021: 75 years for women and 71 years for men. Of continents worldwide, North America ranks equal first in terms of life expectancy of (77 years for men and 81 years for women). Life expectancy is lowest in Africa at just 63 years and 66 years for males and females respectively. Japan is the country with the highest life expectancy worldwide for babies born in 2020.

    Life expectancy is calculated according to current mortality rates of the population in question. Global variations in life expectancy are caused by differences in medical care, public health and diet, and reflect global inequalities in economic circumstances. Africa’s low life expectancy, for example, can be attributed in part to the AIDS epidemic. In 2019, around 72,000 people died of AIDS in South Africa, the largest amount worldwide. Nigeria, Tanzania and India were also high on the list of countries ranked by AIDS deaths that year. Likewise, Africa has by far the highest rate of mortality by communicable disease (i.e. AIDS, neglected tropics diseases, malaria and tuberculosis).

  21. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Statista (2024). U.S. infant mortality rate by state 2022 [Dataset]. https://www.statista.com/statistics/252064/us-infant-mortality-rate-by-ethnicity-2011/
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U.S. infant mortality rate by state 2022

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5 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Aug 26, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2022
Area covered
United States
Description

In 2022, the state of Mississippi had the highest infant mortality rate in the United States, with around 9.11 deaths per 1,000 live births. Infant mortality is the death of an infant before the age of one. The countries with the lowest infant mortality rates worldwide are Slovenia, Singapore, and Iceland. The countries with the highest infant mortality rates include Afghanistan, Somalia, and the Central African Republic. Causes of infant mortality Rates and causes of infant mortality are different depending on the country and region. However, the leading causes of neonatal deaths include preterm birth complications, intrapartum-related events, and sepsis. The leading causes of death among children aged 1 to 59 months are pneumonia, diarrhea, and injury. In the United States The infant mortality rate in the United States has decreased over the past few decades, reaching a low of 5.4 deaths per 1,000 live births in 2021. The most common causes of infant death in the United States are congenital malformations, low birth weight, and sudden infant death syndrome. In 2022, congenital malformations accounted for around 108 infant deaths per 100,000 live births.

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