100+ datasets found
  1. Life expectancy at birth worldwide 1950-2100

    • statista.com
    Updated Mar 26, 2025
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    Statista (2025). Life expectancy at birth worldwide 1950-2100 [Dataset]. https://www.statista.com/statistics/805060/life-expectancy-at-birth-worldwide/
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    Dataset updated
    Mar 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Global life expectancy at birth has risen significantly since the mid-1900s, from roughly 46 years in 1950 to 73.2 years in 2023. Post-COVID-19 projections There was a drop of 1.7 years during the COVID-19 pandemic, between 2019 and 2021, however, figures resumed upon their previous trajectory the following year due to the implementation of vaccination campaigns and the lower severity of later strains of the virus. By the end of the century it is believed that global life expectancy from birth will reach 82 years, although growth will slow in the coming decades as many of the more-populous Asian countries reach demographic maturity. However, there is still expected to be a wide gap between various regions at the end of the 2100s, with the Europe and North America expected to have life expectancies around 90 years, whereas Sub-Saharan Africa is predicted to be in the low-70s. The Great Leap Forward While a decrease of one year during the COVID-19 pandemic may appear insignificant, this is the largest decline in life expectancy since the "Great Leap Forward" in China in 1958, which caused global life expectancy to fall by almost four years between by 1960. The "Great Leap Forward" was a series of modernizing reforms, which sought to rapidly transition China's agrarian economy into an industrial economy, but mismanagement led to tens of millions of deaths through famine and disease.

  2. Global life expectancy at birth by gender 1950-2100

    • statista.com
    • tokrwards.com
    Updated Feb 25, 2025
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    Statista (2025). Global life expectancy at birth by gender 1950-2100 [Dataset]. https://www.statista.com/statistics/673420/projected-global-life-expectancy/
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    Dataset updated
    Feb 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    Over the past 75 years, women have generally had a higher life expectancy than men by around 4-6 years. Reasons for this difference include higher susceptibility to childhood diseases among males; higher rates of accidental deaths, conflict-related deaths, and suicide among adult men; and higher prevalence of unhealthy lifestyle habits and chronic illnesses, as well as higher susceptibility to chronic diseases among men. Therefore, men not only have lower life expectancy than women overall, but also throughout each stage of life. Throughout the given period, there were notable dips in life expectancy for both sexes, including a roughly four year drop in 1960 due to China's so-called Great Leap Forward, and a 1.8 year drop due to the Covid-19 pandemic in 2021. Across the world, differences in life expectancy can vary between the sexes by large margins. In countries such as the Nordics, for example, the difference is low due to high-quality healthcare systems and access, as well as high quality diets and lifestyles. In Eastern Europe, however, the difference is over 10 years in Russia and Ukraine due to the war, although the differences were already very pronounced in this region before 2022, in large part driven by unhealthier lifestyles among men.

  3. Global life expectancy from birth in selected regions 1000-2020

    • statista.com
    Updated Aug 9, 2024
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    Statista (2024). Global life expectancy from birth in selected regions 1000-2020 [Dataset]. https://www.statista.com/statistics/1303775/global-life-expectancy-by-region-country-historical/
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    Dataset updated
    Aug 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Europe, Asia, Africa, LAC, North America
    Description

    Throughout most of history, average life expectancy from birth was fairly consistent across the globe, at around 24 years. A major contributor to this was high rates of infant and child mortality; those who survived into adulthood could expect to live to their 50s or 60s, yet pandemics, food instability, and conflict did cause regular spikes in mortality across the entire population. Gradually, from the 16th to 19th centuries, there was some growth in more developed societies, due to improvements in agriculture, infrastructure, and medical knowledge. However, the most significant change came with the introduction of vaccination and other medical advances in the 1800s, which saw a sharp decline in child mortality and the onset of the demographic transition. This phenomenon began in more developed countries in the 1800s, before spreading to Latin America, Asia, and (later) Africa in the 1900s. As the majority of the world's population lives in countries considered to be "less developed", this figure is much closer to the global average. However, today, there is a considerable difference in life expectancies across these countries, ranging from 84.7 years in Japan to 53 years in the Central African Republic.

  4. f

    Additional file 1 of The gap in life expectancy and lifespan inequality...

    • springernature.figshare.com
    • datasetcatalog.nlm.nih.gov
    xlsx
    Updated Jun 15, 2023
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    Kasim Allel; Mohammad Hajizadeh; Ali Kiadaliri (2023). Additional file 1 of The gap in life expectancy and lifespan inequality between Iran and neighbour countries: the contributions of avoidable causes of death [Dataset]. http://doi.org/10.6084/m9.figshare.20035581.v1
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    xlsxAvailable download formats
    Dataset updated
    Jun 15, 2023
    Dataset provided by
    figshare
    Authors
    Kasim Allel; Mohammad Hajizadeh; Ali Kiadaliri
    License

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

    Area covered
    Iran
    Description

    Additional file 1: Table A1. Age- and cause-specific contributions to gap in life expectancy between Iran and the neighbour countries in males. Table A2. Age- and cause-specific contributions to gap in life expectancy between Iran and the neighbour countries in females. Table A3. Age- and cause-specific contributions to gap in lifespan inequality between Iran and the neighbour countries in males. Table A4. Age- and cause-specific contributions to gap in lifespan inequality between Iran and the neighbour countries in females. Table A5. Age- and cause-specific contributions to gap in life expectancy and lifespan inequality between Iran and the neighbour countries in males based on the life table from the institute for health metrics and evaluation. Table A6. Age- and cause-specific contributions to gap in life expectancy and lifespan inequality between Iran and the neighbour countries in females based on the life table from the institute for health metrics and evaluation. Table A7. Age- and cause-specific contributions to gap in life expectancy and lifespan inequality between Iran and the neighbour countries in males based on the life table from the United Nations. Table A8. Age- and cause-specific contributions to gap in life expectancy and lifespan inequality between Iran and the neighbour countries in females based on the life table from the United Nations. Table A9. Age- and cause-specific contributions to gap in life expectancy and lifespan inequality between Iran and the neighbour countries in males based on the life table from the world health organization. Table A10. Age- and cause-specific contributions to gap in life expectancy and lifespan inequality between Iran and the neighbour countries in females based on the life table from the world health organization.

  5. Life expectancy in industrial and developing countries in 2024

    • statista.com
    Updated Oct 7, 2025
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    Statista (2025). Life expectancy in industrial and developing countries in 2024 [Dataset]. https://www.statista.com/statistics/274507/life-expectancy-in-industrial-and-developing-countries/
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    Dataset updated
    Oct 7, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    In 2024, the average life expectancy for those born in more developed countries was 76 years for men and 82 years for women. On the other hand, the respective numbers for men and women born in the least developed countries were 64 and 69 years. Improved health care has lead to higher life expectancy Life expectancy is the measure of how long a person is expected to live. Life expectancy varies worldwide and involves many factors such as diet, gender, and environment. As medical care has improved over the years, life expectancy has increased worldwide. Introduction to health care such as vaccines has significantly improved the lives of millions of people worldwide. The average worldwide life expectancy at birth has steadily increased since 2007, but dropped during the COVID-19 pandemic in 2020 and 2021. Life expectancy worldwide More developed countries tend to have higher life expectancies, for a multitude of reasons. Health care infrastructure and quality of life tend to be higher in more developed countries, as is access to clean water and food. Africa was the continent that had the lowest life expectancy for both men and women in 2023, while Oceania had the highest for men and Europe and Oceania had the highest for women.

  6. Life expectancy in Europe 2024

    • statista.com
    • tokrwards.com
    Updated Nov 28, 2024
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    Statista (2024). Life expectancy in Europe 2024 [Dataset]. https://www.statista.com/statistics/274514/life-expectancy-in-europe/
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    Dataset updated
    Nov 28, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Europe
    Description

    This statistic shows the average life expectancy in Europe for those born in 2024, by gender and region. The average life expectancy in Western Europe was 79 years for males and 84 years for females in 2024. Additional information on European life expectancy The difference in life expectancy seen between men and women across all European regions is in line with the global trends of women outliving men, on average. The average life expectancy at birth worldwide by income group shows that the gender life expectancy gap is not only a consistent trend across countries, but also income groups. Moreover, the higher life expectancy for those in high income groups may help to explain the lower average life expectancy for those born in Eastern Europe where average incomes are generally lower than other European regions. Although income and length of life are not directly correlated, higher income individuals are generally able to afford access to superior nutrition and healthcare as well as having leisure time for exercise. That said, current trends in the increases in life expectancy worldwide by country between 1970 and 2017 suggest economic growth will lead to larger increases in life expectancy. Those increases are less likely to occur to such a degree in the more developed regions of Europe where Italy, Spain, France, Switzerland, Iceland and Austria all rank in the top 20 countries with the highest life expectancy.

  7. f

    The setting of the rising sun? A recent comparative history of life...

    • plos.figshare.com
    docx
    Updated May 30, 2023
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    Tim Adair; Rebecca Kippen; Mohsen Naghavi; Alan D. Lopez (2023). The setting of the rising sun? A recent comparative history of life expectancy trends in Japan and Australia [Dataset]. http://doi.org/10.1371/journal.pone.0214578
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    docxAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Tim Adair; Rebecca Kippen; Mohsen Naghavi; Alan D. Lopez
    License

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

    Area covered
    Australia, Japan
    Description

    IntroductionAdult male and female mortality declines in Japan have been slower than in most high-income countries since the early 1990s. This study compares Japan’s recent life expectancy trends with the more favourable trends in Australia, measures the contribution of age groups and causes of death to differences in these trends, and places the findings in the context of the countries’ risk factor transitions.MethodsThe study utilises data on deaths by age, sex and cause in Australia and Japan from 1950–2016 from the Global Burden of Disease Study. A decomposition method measures the contributions of various ages and causes to the male and female life expectancy gap and changes over four distinct phases during this period. Mortality differences by cohort are also assessed.FindingsJapan’s two-year male life expectancy advantage over Australia in the 1980s closed in the following 20 years. The trend was driven by ages 45–64 and then 65–79 years, and the cohort born in the late 1940s. Over half of Australia’s gains were from declines in ischaemic heart disease (IHD) mortality, with lung cancer, chronic respiratory disease and self-harm also contributing substantially. Since 2011 the trend has reversed again, and in 2016 Japan had a slightly higher male life expectancy. The advantage in Japanese female life expectancy widened over the period to 2.3 years in 2016. The 2016 gap was mostly from differential mortality at ages 65 years and over from IHD, chronic respiratory disease and cancers.ConclusionsThe considerable gains in Australian male life expectancy from declining non-communicable disease mortality are attributable to a range of risk factors, including declining smoking prevalence due to strong public health interventions. A recent reversal in life expectancy trends could continue because Japan has greater scope for further falls in smoking and far lower levels of obesity. Japan’s substantial female life expectancy advantage however could diminish in future because it is primarily due to lower mortality at old ages.

  8. c

    Life Expectancy (WHO) Dataset

    • cubig.ai
    Updated May 28, 2025
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    CUBIG (2025). Life Expectancy (WHO) Dataset [Dataset]. https://cubig.ai/store/products/370/life-expectancy-who-dataset
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    Dataset updated
    May 28, 2025
    Dataset authored and provided by
    CUBIG
    License

    https://cubig.ai/store/terms-of-servicehttps://cubig.ai/store/terms-of-service

    Measurement technique
    Privacy-preserving data transformation via differential privacy, Synthetic data generation using AI techniques for model training
    Description

    1) Data Introduction • The Life Expectancy (WHO) Dataset is a WHO-based national health dataset that tabulates life expectancy, vaccination, mortality, economy, and society in 193 countries around the world from 2000 to 2015.

    2) Data Utilization (1) Life Expectancy (WHO) Dataset has characteristics that: • Each row contains more than 20 health, economic, and social variables and target variables (life expectancy), including country, year, life expectancy, vaccination rates (e.g., hepatitis B, polio, diphtheria), infant and adult mortality, GDP, population, education level, drinking and smoking. • Although some missing values exist in the data, they are well structured for analysis of health levels and influencing factors by country, including data from various countries and time series. (2) Life Expectancy (WHO) Dataset can be used to: • Analysis of factors affecting life expectancy: The effects of various factors such as vaccination, mortality, economic and social variables on life expectancy can be assessed using statistical methods such as regression analysis. • Health Policy and International Comparative Study: Using national and annual health indicators, it can be used for international health research, such as evaluating the effectiveness of health policies, analyzing health gaps, and establishing strategies to support low-income countries.

  9. f

    Table_2_The impact of the COVID-19 pandemic on life expectancy by the level...

    • frontiersin.figshare.com
    bin
    Updated Aug 1, 2023
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    Jihyung Hong; Sunghyun Yi; Taeho Yoon (2023). Table_2_The impact of the COVID-19 pandemic on life expectancy by the level of area deprivation in South Korea.DOCX [Dataset]. http://doi.org/10.3389/fpubh.2023.1215914.s001
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    binAvailable download formats
    Dataset updated
    Aug 1, 2023
    Dataset provided by
    Frontiers
    Authors
    Jihyung Hong; Sunghyun Yi; Taeho Yoon
    License

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

    Area covered
    South Korea
    Description

    ObjectiveComparative evidence suggests that the impact of COVID-19 on life expectancy has been relatively milder in South Korea. This study aims to examine whether the pandemic has universal or unequal impacts on life expectancy across 250 districts with varying levels of deprivation.MethodsUsing mortality data from 2012 to 2021 obtained from the Microdata Integrated Service of Statistics Korea, we calculated life expectancy at birth and age 65 for both sexes, by deprivation quintiles, before and during the pandemic. We summarized life expectancy gaps using the slope of the inequality index (SII) and further decomposed the gaps by the contribution of age and cause of death using Arriaga’s method.ResultsBoth men and women experienced consistent improvements in life expectancy from 2012 to 2019, but the trend was disrupted during 2020 and 2021, primarily driven by older people. While men in more deprived areas were initially hit harder by the pandemic, the life expectancy gap across deprivation quintiles remained relatively constant and persistent across the study period [SII: -2.48 (CI: −2.70 from −2.27) for 2019 and − 2.84 (CI: −3.06 from −2.63) for 2020]. Middle-aged men from the most deprived areas were the most significant contributors to the life expectancy gap, with liver disease, liver cancer, transport accidents, and intentional injuries being the leading causes, both in the pre and during the pandemic. While these contributors remained largely similar before and during the pandemic, the contribution of transport accidents and liver cancer to the male life expectancy gap slightly decreased during the pandemic, while that of ischemic heart disease and pneumonia slightly increased. A similar increase was also observed for the female life expectancy gap.ConclusionThis study found no clear evidence of an increased life expectancy gap during the pandemic in South Korea, unlike in other countries, although access to emergency healthcare services may have been slightly more disturbed in deprived areas. This achievement can provide lessons for other countries. However, the persistent regional gaps in life expectancy observed over the past decade indicate the need for more targeted public health policies to address this issue.

  10. S

    Sweden SE: Life Expectancy at Birth: Total

    • ceicdata.com
    Updated Mar 15, 2024
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    CEICdata.com (2024). Sweden SE: Life Expectancy at Birth: Total [Dataset]. https://www.ceicdata.com/en/sweden/health-statistics/se-life-expectancy-at-birth-total
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    Dataset updated
    Mar 15, 2024
    Dataset provided by
    CEICdata.com
    License

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

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

    Sweden SE: Life Expectancy at Birth: Total data was reported at 82.205 Year in 2016. This stayed constant from the previous number of 82.205 Year for 2015. Sweden SE: Life Expectancy at Birth: Total data is updated yearly, averaging 77.092 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 82.254 Year in 2014 and a record low of 73.006 Year in 1960. Sweden SE: Life Expectancy at Birth: Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sweden – Table SE.World Bank: Health Statistics. Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision, or derived from male and female life expectancy at birth from sources such as: (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;

  11. Life expectancy by continent and gender 2024

    • statista.com
    • tokrwards.com
    • +1more
    Updated Oct 7, 2025
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    Statista (2025). Life expectancy by continent and gender 2024 [Dataset]. https://www.statista.com/statistics/270861/life-expectancy-by-continent/
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    Dataset updated
    Oct 7, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    In 2024, the average life expectancy in the world was 71 years for men and 76 years for women. The lowest life expectancies were found in Africa, while Oceania and Europe had the highest. What is life expectancy?Life expectancy is defined as a statistical measure of how long a person may live, based on demographic factors such as gender, current age, and most importantly the year of their birth. The most commonly used measure of life expectancy is life expectancy at birth or at age zero. The calculation is based on the assumption that mortality rates at each age were to remain constant in the future. Life expectancy has changed drastically over time, especially during the past 200 years. In the early 20th century, the average life expectancy at birth in the developed world stood at 31 years. It has grown to an average of 70 and 75 years for males and females respectively, and is expected to keep on growing with advances in medical treatment and living standards continuing. Highest and lowest life expectancy worldwide Life expectancy still varies greatly between different regions and countries of the world. The biggest impact on life expectancy is the quality of public health, medical care, and diet. As of 2022, the countries with the highest life expectancy were Japan, Liechtenstein, Switzerland, and Australia, all at 84–83 years. Most of the countries with the lowest life expectancy are mostly African countries. The ranking was led by the Chad, Nigeria, and Lesotho with 53–54 years.

  12. f

    Table_3_Life expectancy inequalities between regions of China 2004–2020:...

    • figshare.com
    xlsx
    Updated Dec 18, 2023
    + more versions
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    Leyi Zhang; Lijuan Sun (2023). Table_3_Life expectancy inequalities between regions of China 2004–2020: contribution of age- and cause-specific mortality.XLSX [Dataset]. http://doi.org/10.3389/fpubh.2023.1271469.s003
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    xlsxAvailable download formats
    Dataset updated
    Dec 18, 2023
    Dataset provided by
    Frontiers
    Authors
    Leyi Zhang; Lijuan Sun
    License

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

    Area covered
    China
    Description

    BackgroundChina's rapid economic and social development since the early 2000s has caused significant shifts in its epidemiological transition, potentially leading to health disparities across regions.ObjectivesThis study employs Life Expectancy (LE) to assess health disparities and trends among China's eastern, central, and western regions. It also examines the pace of LE gains relative to empirical trends and investigates age and causes of death mortality improvement contributing to regional LE gaps.Data and methodsUsing a log-quadratic model, the study estimates LE in China and its regions from 2004 to 2020, using census and death cause surveillance data. It also utilizes the Human Mortality Database (HMD) and the LE gains by LE level approach to analyze China and its regions' LE gains in comparison to empirical trend of developed countries. The study investigates changes in LE gaps due to age and causes of death mortality improvements during two periods, 2004–2012 and 2012–2020, through the LE factor decomposition method.ResultsFrom 2000 to 2020, China's LE exhibited faster pace of gains compared to developed countries. While men's LE growth gradually aligns with empirical trends, women experience slightly higher growth rates. Regional LE disparities significantly reduced from 2004 to 2012, with a marginal reduction from 2012 to 2020. In the latter period, the changing LE gap aligns with expected trends in developed countries, with all Chinese regions surpassing empirical estimates. Cardiovascular diseases and malignant neoplasms emerged as the primary contributors to expanding regional LE gaps, with neurological disorders and diabetes playing an increasingly negative role.ConclusionLE disparities in China have consistently decreased, although at a slower pace in recent years, mirroring empirical trends. To further reduce regional LE disparities, targeted efforts should focus on improving mortality rates related to cardiovascular diseases, neoplasms, neurological disorders and diabetes, especially in the western region. Effective health interventions should prioritize equalizing basic public health services nationwide.

  13. Countries with the highest life expectancy 2024, by gender

    • statista.com
    • thefarmdosupply.com
    • +1more
    Updated Oct 9, 2025
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    Statista (2025). Countries with the highest life expectancy 2024, by gender [Dataset]. https://www.statista.com/statistics/274519/countries-with-the-highest-life-expectancy-worldwide/
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    Dataset updated
    Oct 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    Monaco had the highest life expectancy among both men and women worldwide as of 2024. That year, life expectancy for men and women was ** and ** years, respectively. The East Asian countries and regions, Hong Kong, Japan, South Korea, and Macao, followed. Many of the countries on the list are struggling with aging populations and a declining workforce as more people enter retirement age compared to people entering employment.

  14. Germany: life expectancy at birth 1950-2025

    • statista.com
    • tokrwards.com
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    Statista, Germany: life expectancy at birth 1950-2025 [Dataset]. https://www.statista.com/statistics/295143/life-expectancy-in-germany/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Germany
    Description

    Aftar a drop of 0.6 years between 2019 and 2022, due to the Covid-19 pandemic, Germany's life expectancy at birth returned to it's pre-pandemic level in 2023, and is projected to reach almost 82 years in 2025. In 2025, it is estimated that women in Germany have a life exectancy 4.6 years higher than men, which is a slightly narrower margin than the difference of almost seven years throughout the 1990s.

  15. Life expectancy in Africa 2024

    • statista.com
    • tokrwards.com
    Updated Jul 24, 2025
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    Statista (2025). Life expectancy in Africa 2024 [Dataset]. https://www.statista.com/statistics/274511/life-expectancy-in-africa/
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    Dataset updated
    Jul 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Africa
    Description

    For those born in 2024, the average life expectancy at birth across Africa was 62 years for men and 66 years for women. The average life expectancy globally was 71 years for men and 76 years for women in mid-2024. Additional information on life expectancy in Africa With the exception of North Africa where life expectancy is around the worldwide average for men and women, life expectancy across all African regions paints a negative picture. Comparison of life expectancy by continent shows the gap in average life expectancy between Africa and other continents. Africa trails Asia, the continent with the second lowest average life expectancy, by 10 years for men and 11 years for women. Life expectancy in Africa is the lowest globally Moreover, countries from across the African regions dominate the list of countries with the lowest life expectancy worldwide. Nigeria and Chad had the lowest life expectancy for those born in 2024 for women and men, respectively. However, there is reason for hope despite the low life expectancy rates in many African countries. The Human Development index rating in Sub-Saharan Africa has increased significantly from nearly 0.44 to 0.57 between 2000 and 2023, demonstrating an improvement in quality of life and, as a result, greater access to vital services that allow people to live longer lives. One such improvement has been successful efforts to reduce the rate of aids infection and research into combating its effects. The number of new HIV infections across sub-Saharan Africa has decreased from over 1.3 million in 2015 to close to 650,000 in 2024. However, the sub-region still accounts for 50 percent of the total new HIV infections.

  16. g

    OECD, Life expectancy at birth: Women in select countries, Global, 1960-2006...

    • geocommons.com
    Updated May 6, 2008
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    data (2008). OECD, Life expectancy at birth: Women in select countries, Global, 1960-2006 [Dataset]. http://geocommons.com/search.html
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    Dataset updated
    May 6, 2008
    Dataset provided by
    data
    OECD
    Description

    Life expectancy (in years)at birth: Women in select countries Null data ".." changed to -1

  17. g

    OECD, Life expectancy at birth: Total (Men & Women) in select countries,...

    • geocommons.com
    Updated May 6, 2008
    + more versions
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    data (2008). OECD, Life expectancy at birth: Total (Men & Women) in select countries, Global, 1960-2006 [Dataset]. http://geocommons.com/search.html
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    Dataset updated
    May 6, 2008
    Dataset provided by
    data
    OECD
    Description

    Life expectancy (in years) at birth: Total (Men & Women) in select countries Null value ".." changed to -1

  18. H

    Replication Data for: The Gendered Nature of Natural Disasters: The Impact...

    • dataverse.harvard.edu
    Updated Jan 2, 2016
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    Eric Neumayer (2016). Replication Data for: The Gendered Nature of Natural Disasters: The Impact of Catastrophic Events on the Gender Gap in Life Expectancy, 1981-2002 (with Thomas Plümper), Annals of the American Association of Geographers, 97 (3), 2007, pp. 551-566 [Dataset]. http://doi.org/10.7910/DVN/XFFKNM
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 2, 2016
    Dataset provided by
    Harvard Dataverse
    Authors
    Eric Neumayer
    License

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

    Description

    Natural disasters do not affect people equally. In fact, a vulnerability approach to disasters would suggest that inequalities in exposure and sensitivity to risk as well as inequalities in access to resources, capabilities, and opportunities systematically disadvantage certain groups of people, rendering them more vulnerable to the impact of natural disasters. In this article we address the specific vulnerability of girls and women with respect to mortality from natural disasters and their aftermath. Biological and physiological differences between the sexes are unlikely to explain large-scale gender differences in mortality rates. Social norms and role behaviors provide some further explanation, but what is likely to matter most is the everyday socioeconomic status of women. In a sample of up to 141 countries over the period 1981 to 2002 we analyze the effect of disaster strength and its interaction with the socioeconomic status of women on the change in the gender gap in life expectancy. We find, first, that natural disasters lower the life expectancy of women more than that of men. In other words, natural disasters (and their subsequent impact) on average kill more women than men or kill women at an earlier age than men. Since female life expectancy is generally higher than that of males, for most countries natural disasters narrow the gender gap in life expectancy. Second, the stronger the disaster (as approximated by the number of people killed relative to population size), the stronger this effect on the gender gap in life expectancy. That is, major calamities lead to more severe impacts on female life expectancy (relative to that of males) than do smaller disasters. Third, the higher women’s socioeconomic status, the weaker is this effect on the gender gap in life expectancy. Taken together our results show that it is the socially constructed gender-specific vulnerability of females built into everyday socioeconomic patterns that lead to the relatively higher female disaster mortality rates compared to men.

  19. Population of Russia 2024, by gender and age group

    • thefarmdosupply.com
    • statista.com
    • +1more
    Updated Apr 10, 2024
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    Statista Research Department (2024). Population of Russia 2024, by gender and age group [Dataset]. https://www.thefarmdosupply.com/?_=%2Ftopics%2F5937%2Fdemographics-of-russia%2F%23RslIny40YoLmf%2Bh9zvmBAV3JXcE%2BYSA%3D
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    Dataset updated
    Apr 10, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    Russia
    Description

    In all age groups until 29 years old, there were more men than women in Russia as of January 1, 2024. After that age, the female population outnumbered the male population in each category. The most represented age group in the country was from 35 to 39 years old, with approximately 6.5 million women and 6.3 million men. Male-to-female ratio in Russia The number of men in Russia was historically lower than the number of women, which was a result of population losses during World War I and World War II. In 1950, in the age category from 25 to 29 years, 68 men were recorded per 100 women in the Soviet Union. In today’s Russia, the female-to-male ratio in the same age group reached 976 women per 1,000 men. Russia has the highest life expectancy gender gap The World Health Organization estimated the average life expectancy of women across the world at over five years longer than men. In Russia, this gap between genders exceeded 10 years. According to the study “Burden of disease in Russia, 1980-2016: A systematic analysis for the Global Burden of Disease Study 2016,” Russia had the highest gender difference in life expectancy worldwide.

  20. Population of Russia 2024, by gender and age group

    • tokrwards.com
    • statista.com
    • +1more
    Updated Jan 3, 2025
    + more versions
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    Statista Research Department (2025). Population of Russia 2024, by gender and age group [Dataset]. https://tokrwards.com/?_=%2Ftopics%2F2675%2Frussia%2F%23D%2FIbH0PhabzN99vNwgDeng71Gw4euCn%2B
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    Dataset updated
    Jan 3, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    Russia
    Description

    In all age groups until 29 years old, there were more men than women in Russia as of January 1, 2024. After that age, the female population outnumbered the male population in each category. The most represented age group in the country was from 35 to 39 years old, with approximately 6.5 million women and 6.3 million men. Male-to-female ratio in Russia The number of men in Russia was historically lower than the number of women, which was a result of population losses during World War I and World War II. In 1950, in the age category from 25 to 29 years, 68 men were recorded per 100 women in the Soviet Union. In today’s Russia, the female-to-male ratio in the same age group reached 976 women per 1,000 men. Russia has the highest life expectancy gender gap The World Health Organization estimated the average life expectancy of women across the world at over five years longer than men. In Russia, this gap between genders exceeded 10 years. According to the study “Burden of disease in Russia, 1980-2016: A systematic analysis for the Global Burden of Disease Study 2016,” Russia had the highest gender difference in life expectancy worldwide.

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Statista (2025). Life expectancy at birth worldwide 1950-2100 [Dataset]. https://www.statista.com/statistics/805060/life-expectancy-at-birth-worldwide/
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Life expectancy at birth worldwide 1950-2100

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4 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Mar 26, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Worldwide
Description

Global life expectancy at birth has risen significantly since the mid-1900s, from roughly 46 years in 1950 to 73.2 years in 2023. Post-COVID-19 projections There was a drop of 1.7 years during the COVID-19 pandemic, between 2019 and 2021, however, figures resumed upon their previous trajectory the following year due to the implementation of vaccination campaigns and the lower severity of later strains of the virus. By the end of the century it is believed that global life expectancy from birth will reach 82 years, although growth will slow in the coming decades as many of the more-populous Asian countries reach demographic maturity. However, there is still expected to be a wide gap between various regions at the end of the 2100s, with the Europe and North America expected to have life expectancies around 90 years, whereas Sub-Saharan Africa is predicted to be in the low-70s. The Great Leap Forward While a decrease of one year during the COVID-19 pandemic may appear insignificant, this is the largest decline in life expectancy since the "Great Leap Forward" in China in 1958, which caused global life expectancy to fall by almost four years between by 1960. The "Great Leap Forward" was a series of modernizing reforms, which sought to rapidly transition China's agrarian economy into an industrial economy, but mismanagement led to tens of millions of deaths through famine and disease.

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