100+ datasets found
  1. Countries with lowest death rates 2023

    • statista.com
    Updated Nov 26, 2025
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    Statista (2025). Countries with lowest death rates 2023 [Dataset]. https://www.statista.com/statistics/562759/ranking-of-20-countries-with-lowest-death-rates/
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    Dataset updated
    Nov 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Worldwide
    Description

    In 2023, with just *** death per one thousand people, Qatar and the United Arab Emirates were the countries with the lowest death rates worldwide. This statistic shows a ranking of the 20 countries with the lowest death rates worldwide, as of 2023. Health in high-income countries Countries with the highest life expectancies are also often high-income countries with well-developed economic, social and health care systems, providing adequate resources and access to treatment for health concerns. Health care expenditure as a share of GDP varies per country; for example, spending in the United States is higher than in other OECD countries due to higher costs and prices for care services and products. In developed countries, the main burden of disease is often due to non-communicable diseases occurring in old age, such as cardiovascular diseases and cancer. High burden in low-income countries The countries with the lowest life expectancy worldwide are all in Africa- including Nigeria, Chad, and Lesotho- with life expectancies reaching up to 20 years shorter than the average global life expectancy. Leading causes of death in low-income countries include respiratory infections and diarrheal diseases, as these countries are often hit with the double burden of infectious diseases plus non-communicable diseases, such as those related to cardiovascular pathologies. Additionally, these countries often lack the resources and infrastructure to sustain effective healthcare systems and fail to provide appropriate access and treatment for their populations.

  2. Countries with the lowest infant mortality rate 2024

    • statista.com
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    Statista, 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 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.

  3. F

    Infant Mortality Rate for Low Income Countries

    • fred.stlouisfed.org
    json
    Updated Apr 16, 2025
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    (2025). Infant Mortality Rate for Low Income Countries [Dataset]. https://fred.stlouisfed.org/series/SPDYNIMRTINLIC
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    jsonAvailable download formats
    Dataset updated
    Apr 16, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Infant Mortality Rate for Low Income Countries (SPDYNIMRTINLIC) from 1990 to 2023 about mortality, infant, income, and rate.

  4. Mortality rate, infant (per 1,000 live births)

    • kaggle.com
    zip
    Updated Nov 15, 2023
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    willian oliveira (2023). Mortality rate, infant (per 1,000 live births) [Dataset]. https://www.kaggle.com/datasets/willianoliveiragibin/mortality-rate-infant-per-1000-live-births
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    zip(18548 bytes)Available download formats
    Dataset updated
    Nov 15, 2023
    Authors
    willian oliveira
    License

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

    Description

    The infant mortality rate is defined as the number of deaths of children under one year of age, expressed per 1 000 live births. Some of the international variation in infant mortality rates is due to variations among countries in registering practices for premature infants. The United States and Canada are two countries which register a much higher proportion of babies weighing less than 500g, with low odds of survival, resulting in higher reported infant mortality. In Europe, several countries apply a minimum gestational age of 22 weeks (or a birth weight threshold of 500g) for babies to be registered as live births. This indicator is measured in terms of deaths per 1 000 live births.

    This indicator is a summary measure of premature mortality, providing an explicit way of weighting deaths occurring at younger ages, which may be preventable. The calculation of Potential Years of Life Lost (PYLL) involves summing up deaths occurring at each age and multiplying this with the number of remaining years to live up to a selected age limit (age 75 is used in OECD Health Statistics). In order to assure cross-country and trend comparison, the PYLL are standardised, for each country and each year. The total OECD population in 2010 is taken as the reference population for age standardisation. This indicator is presented as a total and per gender. It is measured in years lost per 100 000 inhabitants (total), per 100 000 men and per 100 000 women, aged 0-69.

    Life expectancy at birth is defined as how long, on average, a newborn can expect to live, if current death rates do not change. However, the actual age-specific death rate of any particular birth cohort cannot be known in advance. If rates are falling, actual life spans will be higher than life expectancy calculated using current death rates. Life expectancy at birth is one of the most frequently used health status indicators. Gains in life expectancy at birth can be attributed to a number of factors, including rising living standards, improved lifestyle and better education, as well as greater access to quality health services. This indicator is presented as a total and per gender and is measured in years.

  5. Infant mortality rate Singapore 1960-2023

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). Infant mortality rate Singapore 1960-2023 [Dataset]. https://www.statista.com/statistics/624889/singapore-infant-mortality-rate/
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    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Singapore
    Description

    In 2024, the infant mortality rate in Singapore was 2.3 deaths per 1,000 live births. The low infant mortality rate can be attributed to a good health-care system that is accessible to the majority of the population.

  6. Rates of death for the leading causes of death in low-income countries in...

    • statista.com
    Updated Nov 26, 2025
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    Statista (2025). Rates of death for the leading causes of death in low-income countries in 2021 [Dataset]. https://www.statista.com/statistics/311934/top-ten-causes-of-death-in-low-income-countries/
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    Dataset updated
    Nov 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    Worldwide
    Description

    The leading cause of death in low-income countries worldwide in 2021 was lower respiratory infections, followed by stroke and ischemic heart disease. The death rate from lower respiratory infections that year was 59.4 deaths per 100,000 people. While the death rate from stroke was around 51.6 per 100,000 people. Many low-income countries suffer from health issues not seen in high-income countries, including infectious diseases, malnutrition and neonatal deaths, to name a few. Low-income countries worldwide Low-income countries are defined as those with per gross national incomes (GNI) per capita of 1,045 U.S. dollars or less. A majority of the world’s low-income countries are located in sub-Saharan Africa and South East Asia. Some of the lowest-income countries as of 2023 include Burundi, Sierra Leone, and South Sudan. Low-income countries have different health problems that lead to worse health outcomes. For example, Chad, Lesotho, and Nigeria have some of the lowest life expectancies on the planet. Health issues in low-income countries Low-income countries also tend to have higher rates of HIV/AIDS and other infectious diseases as a consequence of poor health infrastructure and a lack of qualified health workers. Eswatini, Lesotho, and South Africa have some of the highest rates of new HIV infections worldwide. Likewise, tuberculosis, a treatable condition that affects the respiratory system, has high incident rates in lower income countries. Other health issues can be affected by the income of a country as well, including maternal and infant mortality. In 2023, Afghanistan had one of the highest rates of infant mortality rates in the world.

  7. T

    United States - Infant Mortality Rate for Low Income Countries

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Feb 22, 2020
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    TRADING ECONOMICS (2020). United States - Infant Mortality Rate for Low Income Countries [Dataset]. https://tradingeconomics.com/united-states/infant-mortality-rate-for-low-income-countries-fed-data.html
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    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    Feb 22, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2026
    Area covered
    United States
    Description

    United States - Infant Mortality Rate for Low Income Countries was 42.80000 Number per 1,000 Live Births in January of 2023, according to the United States Federal Reserve. Historically, United States - Infant Mortality Rate for Low Income Countries reached a record high of 170.30000 in January of 1964 and a record low of 42.80000 in January of 2023. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Infant Mortality Rate for Low Income Countries - last updated from the United States Federal Reserve on March of 2026.

  8. Q

    Qatar QA: Mortality Rate: Under-5: per 1000 Live Births

    • ceicdata.com
    Updated Dec 15, 2023
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    CEICdata.com (2023). Qatar QA: Mortality Rate: Under-5: per 1000 Live Births [Dataset]. https://www.ceicdata.com/en/qatar/health-statistics/qa-mortality-rate-under5-per-1000-live-births
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    Dataset updated
    Dec 15, 2023
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    Qatar
    Description

    Qatar QA: Mortality Rate: Under-5: per 1000 Live Births data was reported at 7.600 Ratio in 2017. This records a decrease from the previous number of 7.800 Ratio for 2016. Qatar QA: Mortality Rate: Under-5: per 1000 Live Births data is updated yearly, averaging 17.100 Ratio from Dec 1969 (Median) to 2017, with 49 observations. The data reached an all-time high of 71.100 Ratio in 1969 and a record low of 7.600 Ratio in 2017. Qatar QA: 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 Qatar – Table QA.World Bank.WDI: 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.

  9. Child mortality rate

    • kaggle.com
    zip
    Updated Mar 21, 2024
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    willian oliveira (2024). Child mortality rate [Dataset]. https://www.kaggle.com/datasets/willianoliveiragibin/child-mortality-rate
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    zip(901985 bytes)Available download formats
    Dataset updated
    Mar 21, 2024
    Authors
    willian oliveira
    License

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

    Description

    this graph was created in Unicef :

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F16731800%2Fa8bc4d2b506665b0f83aa521d08ff955%2Fsddssddss.png?generation=1711049954454687&alt=media" alt="">

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F16731800%2F69f10de83fb767c7f68495f5283b30d8%2Fddfdfdfdf.png?generation=1711049988555838&alt=media" alt="">

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F16731800%2F09833bd9bdd657253a2c028f42ec9cdb%2Fsddssdsdsd.png?generation=1711050039213946&alt=media" alt="">

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F16731800%2F798e583b24c71664c0d40222aa9df981%2F2323wsd.png?generation=1711050080127039&alt=media" alt="">

    Indicator: Child mortality rate (aged 1-4 years) 1986-2021

    This year’s United Nations Inter-agency Group for Child Mortality Estimation (UN IGME)’s findings represent a noteworthy moment in the ongoing campaign to end all preventable child deaths: The annual number of under-five deaths has fallen to 4.9 (4.6–5.4) million in 2022. The report reveals that more children are surviving today than ever before, with the global under-5 mortality rate declining by 51 per cent since 2000. And several low- and lower-middle-income countries have outpaced this decline. This is a testament to the commitment of governments, organizations, local communities, health-care professionals and families to the survival of the most vulnerable members of our global community.

    Yet millions of children still died before seeing their fifth birthday – a loss that serves as a crucial reminder that threats to newborn and child health and survival persist around the world, particularly among the most marginalized children. In addition to the 4.9 million lives lost before the age of 5 – nearly half of which were newborns – the lives of another 2.1 million children and youth aged 5-24 were also cut short. Most of these deaths were concentrated in sub-Saharan Africa and Southern Asia. There is still a long road ahead to end all preventable child and youth deaths.

    Ending preventable child deaths in every community will require targeted investments in available, accessible quality health care, including skilled health personnel at birth, antenatal and postnatal care, care for small and sick newborns, preventive services such as vaccination, and diagnostic, preventive and curative measures to treat the key causes of childhood death. Data systems must also be strengthened to track and monitor survival by age and to help address underlying inequalities. This will enable us to move closer to achieving the Sustainable Development Goals and ensure that every child has the opportunity to thrive.

  10. T

    Infant Mortality Rate for Low and Middle Income Countries

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 20, 2020
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    TRADING ECONOMICS (2020). Infant Mortality Rate for Low and Middle Income Countries [Dataset]. https://tradingeconomics.com/united-states/infant-mortality-rate-for-low-and-middle-income-countries-fed-data.html
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    json, excel, csv, xmlAvailable download formats
    Dataset updated
    May 20, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2026
    Area covered
    Low And Middle Income
    Description

    Infant Mortality Rate for Low and Middle Income Countries was 29.54392 Number per 1,000 Live Births in January of 2023, according to the United States Federal Reserve. Historically, Infant Mortality Rate for Low and Middle Income Countries reached a record high of 153.60000 in January of 1960 and a record low of 29.54392 in January of 2023. Trading Economics provides the current actual value, an historical data chart and related indicators for Infant Mortality Rate for Low and Middle Income Countries - last updated from the United States Federal Reserve on February of 2026.

  11. a

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

    • hub.arcgis.com
    Updated Aug 17, 2020
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    UN DESA Statistics Division (2020). Indicator 3.2.1: Under-five mortality rate by sex (deaths per 1 000 live births) [Dataset]. https://hub.arcgis.com/datasets/undesa::indicator-3-2-1-under-five-mortality-rate-by-sex-deaths-per-1-000-live-births-1/data
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    Dataset updated
    Aug 17, 2020
    Dataset authored and provided by
    UN DESA Statistics Division
    Area covered
    Description

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

  12. U

    United States US: Mortality Rate: Infant: per 1000 Live Births

    • ceicdata.com
    Updated Mar 29, 2018
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    CEICdata.com (2018). United States US: Mortality Rate: Infant: per 1000 Live Births [Dataset]. https://www.ceicdata.com/en/united-states/health-statistics
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    Dataset updated
    Mar 29, 2018
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    United States
    Description

    US: Mortality Rate: Infant: per 1000 Live Births data was reported at 5.600 Ratio in 2016. This records a decrease from the previous number of 5.700 Ratio for 2015. US: Mortality Rate: Infant: per 1000 Live Births data is updated yearly, averaging 10.000 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 25.900 Ratio in 1960 and a record low of 5.600 Ratio in 2016. US: Mortality Rate: Infant: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Health Statistics. Infant mortality rate is the number of infants dying before reaching one year of age, per 1,000 live births in a given year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.

  13. Causes of death and infant mortality rates among full-term births in the...

    • plos.figshare.com
    tiff
    Updated Jun 1, 2023
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    Neha Bairoliya; Günther Fink (2023). Causes of death and infant mortality rates among full-term births in the United States between 2010 and 2012: An observational study [Dataset]. http://doi.org/10.1371/journal.pmed.1002531
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    tiffAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Neha Bairoliya; Günther Fink
    License

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

    Area covered
    United States
    Description

    BackgroundWhile the high prevalence of preterm births and its impact on infant mortality in the US have been widely acknowledged, recent data suggest that even full-term births in the US face substantially higher mortality risks compared to European countries with low infant mortality rates. In this paper, we use the most recent birth records in the US to more closely analyze the primary causes underlying mortality rates among full-term births.Methods and findingsLinked birth and death records for the period 2010–2012 were used to identify the state- and cause-specific burden of infant mortality among full-term infants (born at 37–42 weeks of gestation). Multivariable logistic models were used to assess the extent to which state-level differences in full-term infant mortality (FTIM) were attributable to observed differences in maternal and birth characteristics. Random effects models were used to assess the relative contribution of state-level variation to FTIM. Hypothetical mortality outcomes were computed under the assumption that all states could achieve the survival rates of the best-performing states. A total of 10,175,481 infants born full-term in the US between January 1, 2010, and December 31, 2012, were analyzed. FTIM rate (FTIMR) was 2.2 per 1,000 live births overall, and ranged between 1.29 (Connecticut, 95% CI 1.08, 1.53) and 3.77 (Mississippi, 95% CI 3.39, 4.19) at the state level. Zero states reached the rates reported in the 6 low-mortality European countries analyzed (FTIMR < 1.25), and 13 states had FTIMR > 2.75. Sudden unexpected death in infancy (SUDI) accounted for 43% of FTIM; congenital malformations and perinatal conditions accounted for 31% and 11.3% of FTIM, respectively. The largest mortality differentials between states with good and states with poor FTIMR were found for SUDI, with particularly large risk differentials for deaths due to sudden infant death syndrome (SIDS) (odds ratio [OR] 2.52, 95% CI 1.86, 3.42) and suffocation (OR 4.40, 95% CI 3.71, 5.21). Even though these mortality differences were partially explained by state-level differences in maternal education, race, and maternal health, substantial state-level variation in infant mortality remained in fully adjusted models (SIDS OR 1.45, suffocation OR 2.92). The extent to which these state differentials are due to differential antenatal care standards as well as differential access to health services could not be determined due to data limitations. Overall, our estimates suggest that infant mortality could be reduced by 4,003 deaths (95% CI 2,284, 5,587) annually if all states were to achieve the mortality levels of the best-performing state in each cause-of-death category. Key limitations of the analysis are that information on termination rates at the state level was not available, and that causes of deaths may have been coded differentially across states.ConclusionsMore than 7,000 full-term infants die in the US each year. The results presented in this paper suggest that a substantial share of these deaths may be preventable. Potential improvements seem particularly large for SUDI, where very low rates have been achieved in a few states while average mortality rates remain high in most other areas. Given the high mortality burden due to SIDS and suffocation, policy efforts to promote compliance with recommended sleeping arrangements could be an effective first step in this direction.

  14. T

    United States - Infant Mortality Rate for Lower Middle Income Countries

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 21, 2020
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    TRADING ECONOMICS (2020). United States - Infant Mortality Rate for Lower Middle Income Countries [Dataset]. https://tradingeconomics.com/united-states/infant-mortality-rate-for-lower-middle-income-countries-fed-data.html
    Explore at:
    json, xml, excel, csvAvailable download formats
    Dataset updated
    May 21, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2026
    Area covered
    United States
    Description

    United States - Infant Mortality Rate for Lower Middle Income Countries was 32.60000 Number per 1,000 Live Births in January of 2023, according to the United States Federal Reserve. Historically, United States - Infant Mortality Rate for Lower Middle Income Countries reached a record high of 161.30000 in January of 1960 and a record low of 32.60000 in January of 2023. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Infant Mortality Rate for Lower Middle Income Countries - last updated from the United States Federal Reserve on February of 2026.

  15. l

    Data from: All-Cause Mortality

    • geohub.lacity.org
    • data.lacounty.gov
    • +3more
    Updated Dec 21, 2023
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    County of Los Angeles (2023). All-Cause Mortality [Dataset]. https://geohub.lacity.org/datasets/lacounty::all-cause-mortality
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    Dataset updated
    Dec 21, 2023
    Dataset authored and provided by
    County of Los Angeles
    Area covered
    Description

    Death rate has been age-adjusted by the 2000 U.S. standard populaton. All-cause mortality is an important measure of community health. All-cause mortality is heavily driven by the social determinants of health, with significant inequities observed by race and ethnicity and socioeconomic status. Black residents have consistently experienced the highest all-cause mortality rate compared to other racial and ethnic groups. During the COVID-19 pandemic, Latino residents also experienced a sharp increase in their all-cause mortality rate compared to White residents, demonstrating a reversal in the previously observed mortality advantage, in which Latino individuals historically had higher life expectancy and lower mortality than White individuals despite having lower socioeconomic status on average. The disproportionately high all-cause mortality rates observed among Black and Latino residents, especially since the onset of the COVID-19 pandemic, are due to differences in social and economic conditions and opportunities that unfairly place these groups at higher risk of developing and dying from a wide range of health conditions, including COVID-19.For more information about the Community Health Profiles Data Initiative, please see the initiative homepage.

  16. G

    Death rate in | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Mar 7, 2024
    + more versions
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    Globalen LLC (2024). Death rate in | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/Death_rate/1000/
    Explore at:
    xml, csv, excelAvailable download formats
    Dataset updated
    Mar 7, 2024
    Dataset authored and provided by
    Globalen LLC
    License

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

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

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

  17. Mortality rates (qx), low life expectancy variant, United Kingdom

    • cy.ons.gov.uk
    • ons.gov.uk
    xlsx
    Updated Feb 14, 2025
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    Office for National Statistics (2025). Mortality rates (qx), low life expectancy variant, United Kingdom [Dataset]. https://cy.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/lifeexpectancies/datasets/mortalityratesqxlowlifeexpectancyvariantunitedkingdom
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    xlsxAvailable download formats
    Dataset updated
    Feb 14, 2025
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    Period and Cohort Mortality rates (qx) for the UK using the low life expectancy variant by single year of age 0 to 100.

  18. Mortality rates (qx), low life expectancy variant, Wales

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Feb 14, 2025
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    Office for National Statistics (2025). Mortality rates (qx), low life expectancy variant, Wales [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/lifeexpectancies/datasets/mortalityratesqxlowlifeexpectancyvariantwales
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    xlsxAvailable download formats
    Dataset updated
    Feb 14, 2025
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    Wales
    Description

    Period and Cohort Mortality rates (qx) for Wales using the low life expectancy variant by single year of age 0 to 100.

  19. C

    Chad TD: Mortality Rate: Adult: Female: per 1000 Female Adults

    • ceicdata.com
    Updated Sep 18, 2023
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    CEICdata.com (2023). Chad TD: Mortality Rate: Adult: Female: per 1000 Female Adults [Dataset]. https://www.ceicdata.com/en/chad/social-health-statistics/td-mortality-rate-adult-female-per-1000-female-adults
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    Dataset updated
    Sep 18, 2023
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2011 - Dec 1, 2022
    Area covered
    Chad
    Description

    Chad TD: Mortality Rate: Adult: Female: per 1000 Female Adults data was reported at 309.354 Ratio in 2023. This records a decrease from the previous number of 315.145 Ratio for 2022. Chad TD: Mortality Rate: Adult: Female: per 1000 Female Adults data is updated yearly, averaging 343.251 Ratio from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 406.629 Ratio in 1960 and a record low of 309.354 Ratio in 2023. Chad TD: Mortality Rate: Adult: Female: per 1000 Female Adults data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chad – Table TD.World Bank.WDI: Social: Health Statistics. Adult mortality rate, female, is the probability of dying between the ages of 15 and 60--that is, the probability of a 15-year-old female dying before reaching age 60, if subject to age-specific mortality rates of the specified year between those ages.;World Population Prospects, United Nations (UN), publisher: UN Population Division; Human Mortality Database, Max Planck Institute for Demographic Research, uri: www.mortality.org; University of California, Berkeley, uri: www.mortality.org, note: Human Mortality Database; French Institute for Demographic Studies, uri: www.mortality.org, note: Human Mortality Database;Weighted average;

  20. Infant mortality rate in the U.S. 1960-2023

    • statista.com
    Updated Jan 26, 2026
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    Statista (2026). Infant mortality rate in the U.S. 1960-2023 [Dataset]. https://www.statista.com/statistics/195950/infant-mortality-rate-in-the-united-states-since-1990/
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    Dataset updated
    Jan 26, 2026
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, the infant mortality rate in the United States was 5.5 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, New Hampshire had the lowest infant mortality rate, while Mississippi had the highest in 2023. Overall, the number of neonatal and post neonatal deaths in the United States has been steadily decreasing since 1995.

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Statista (2025). Countries with lowest death rates 2023 [Dataset]. https://www.statista.com/statistics/562759/ranking-of-20-countries-with-lowest-death-rates/
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Countries with lowest death rates 2023

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Dataset updated
Nov 26, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2023
Area covered
Worldwide
Description

In 2023, with just *** death per one thousand people, Qatar and the United Arab Emirates were the countries with the lowest death rates worldwide. This statistic shows a ranking of the 20 countries with the lowest death rates worldwide, as of 2023. Health in high-income countries Countries with the highest life expectancies are also often high-income countries with well-developed economic, social and health care systems, providing adequate resources and access to treatment for health concerns. Health care expenditure as a share of GDP varies per country; for example, spending in the United States is higher than in other OECD countries due to higher costs and prices for care services and products. In developed countries, the main burden of disease is often due to non-communicable diseases occurring in old age, such as cardiovascular diseases and cancer. High burden in low-income countries The countries with the lowest life expectancy worldwide are all in Africa- including Nigeria, Chad, and Lesotho- with life expectancies reaching up to 20 years shorter than the average global life expectancy. Leading causes of death in low-income countries include respiratory infections and diarrheal diseases, as these countries are often hit with the double burden of infectious diseases plus non-communicable diseases, such as those related to cardiovascular pathologies. Additionally, these countries often lack the resources and infrastructure to sustain effective healthcare systems and fail to provide appropriate access and treatment for their populations.

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