100+ datasets found
  1. Life expectancy in the United States, 1860-2020

    • statista.com
    Updated Aug 9, 2024
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    Statista (2024). Life expectancy in the United States, 1860-2020 [Dataset]. https://www.statista.com/statistics/1040079/life-expectancy-united-states-all-time/
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    Dataset updated
    Aug 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Over the past 160 years, life expectancy (from birth) in the United States has risen from 39.4 years in 1860, to 78.9 years in 2020. One of the major reasons for the overall increase of life expectancy in the last two centuries is the fact that the infant and child mortality rates have decreased by so much during this time. Medical advancements, fewer wars and improved living standards also mean that people are living longer than they did in previous centuries.

    Despite this overall increase, the life expectancy dropped three times since 1860; from 1865 to 1870 during the American Civil War, from 1915 to 1920 during the First World War and following Spanish Flu epidemic, and it has dropped again between 2015 and now. The reason for the most recent drop in life expectancy is not a result of any specific event, but has been attributed to negative societal trends, such as unbalanced diets and sedentary lifestyles, high medical costs, and increasing rates of suicide and drug use.

  2. Life expectancy by continent and gender 2024

    • statista.com
    Updated Jun 23, 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
    Jun 23, 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.

  3. Global life expectancy from birth in selected regions 1820-2020

    • statista.com
    Updated Aug 9, 2024
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    Statista (2024). Global life expectancy from birth in selected regions 1820-2020 [Dataset]. https://www.statista.com/statistics/1302736/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, Africa, Asia, LAC, North America
    Description

    A global phenomenon, known as the demographic transition, has seen life expectancy from birth increase rapidly over the past two centuries. In pre-industrial societies, the average life expectancy was around 24 years, and it is believed that this was the case throughout most of history, and in all regions. The demographic transition then began in the industrial societies of Europe, North America, and the West Pacific around the turn of the 19th century, and life expectancy rose accordingly. Latin America was the next region to follow, before Africa and most Asian populations saw their life expectancy rise throughout the 20th century.

  4. Historical life expectancy from birth in selected regions 33-1875

    • statista.com
    Updated Dec 31, 2006
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    Statista (2006). Historical life expectancy from birth in selected regions 33-1875 [Dataset]. https://www.statista.com/statistics/1069683/life-expectancy-historical-areas/
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    Dataset updated
    Dec 31, 2006
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom (England), Egypt, France, Japan, Sweden
    Description

    For most of the world, throughout most of human history, the average life expectancy from birth was around 24. This figure fluctuated greatly depending on the time or region, and was higher than 24 in most individual years, but factors such as pandemics, famines, and conflicts caused regular spikes in mortality and reduced life expectancy. Child mortality The most significant difference between historical mortality rates and modern figures is that child and infant mortality was so high in pre-industrial times; before the introduction of vaccination, water treatment, and other medical knowledge or technologies, women would have around seven children throughout their lifetime, but around half of these would not make it to adulthood. Accurate, historical figures for infant mortality are difficult to ascertain, as it was so prevalent, it took place in the home, and was rarely recorded in censuses; however, figures from this source suggest that the rate was around 300 deaths per 1,000 live births in some years, meaning that almost one in three infants did not make it to their first birthday in certain periods. For those who survived to adolescence, they could expect to live into their forties or fifties on average. Modern figures It was not until the eradication of plague and improvements in housing and infrastructure in recent centuries where life expectancy began to rise in some parts of Europe, before industrialization and medical advances led to the onset of the demographic transition across the world. Today, global life expectancy from birth is roughly three times higher than in pre-industrial times, at almost 73 years. It is higher still in more demographically and economically developed countries; life expectancy is over 82 years in the three European countries shown, and over 84 in Japan. For the least developed countries, mostly found in Sub-Saharan Africa, life expectancy from birth can be as low as 53 years.

  5. M

    China Life Expectancy 1950-2025

    • macrotrends.net
    csv
    Updated May 31, 2025
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    MACROTRENDS (2025). China Life Expectancy 1950-2025 [Dataset]. https://www.macrotrends.net/global-metrics/countries/chn/china/life-expectancy
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    csvAvailable download formats
    Dataset updated
    May 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    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, 1950 - Jun 2, 2025
    Area covered
    China
    Description
    China life expectancy for 2025 is 77.81, a 0.22% increase from 2024.
    <ul style='margin-top:20px;'>
    
    <li>China life expectancy for 2024 was <strong>77.64</strong>, a <strong>0.22% increase</strong> from 2023.</li>
    <li>China life expectancy for 2023 was <strong>77.47</strong>, a <strong>0.22% increase</strong> from 2022.</li>
    <li>China life expectancy for 2022 was <strong>77.30</strong>, a <strong>0.22% increase</strong> from 2021.</li>
    </ul>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.
    
  6. M

    Life Expectancy Statistics 2025 By Health Progress

    • media.market.us
    Updated Jan 14, 2025
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    Market.us Media (2025). Life Expectancy Statistics 2025 By Health Progress [Dataset]. https://media.market.us/life-expectancy-statistics/
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    Dataset updated
    Jan 14, 2025
    Dataset authored and provided by
    Market.us Media
    License

    https://media.market.us/privacy-policyhttps://media.market.us/privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    Global
    Description

    Introduction

    Life Expectancy Statistics: Life expectancy is the average number of years a person is expected to live based on current mortality rates in a specific population.

    It is influenced by healthcare quality, lifestyle choices, economic conditions, genetics, environmental factors, and social determinants like education and public health policies.

    Typically measured as life expectancy at birth, it reflects the average lifespan of a newborn. However, it can also be assessed for older ages, such as 65, to predict additional years of life.

    https://media.market.us/wp-content/uploads/2024/12/life-expectancy-statistics.png" alt="Life Expectancy Statistics" class="wp-image-27483">

  7. T

    Vital Signs: Life Expectancy – by ZIP Code

    • data.bayareametro.gov
    application/rdfxml +5
    Updated Apr 12, 2017
    + more versions
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    State of California, Department of Health: Death Records (2017). Vital Signs: Life Expectancy – by ZIP Code [Dataset]. https://data.bayareametro.gov/dataset/Vital-Signs-Life-Expectancy-by-ZIP-Code/xym8-u3kc
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    tsv, json, application/rdfxml, xml, csv, application/rssxmlAvailable download formats
    Dataset updated
    Apr 12, 2017
    Dataset authored and provided by
    State of California, Department of Health: Death Records
    Description

    VITAL SIGNS INDICATOR Life Expectancy (EQ6)

    FULL MEASURE NAME Life Expectancy

    LAST UPDATED April 2017

    DESCRIPTION Life expectancy refers to the average number of years a newborn is expected to live if mortality patterns remain the same. The measure reflects the mortality rate across a population for a point in time.

    DATA SOURCE State of California, Department of Health: Death Records (1990-2013) No link

    California Department of Finance: Population Estimates Annual Intercensal Population Estimates (1990-2010) Table P-2: County Population by Age (2010-2013) http://www.dof.ca.gov/Forecasting/Demographics/Estimates/

    U.S. Census Bureau: Decennial Census ZCTA Population (2000-2010) http://factfinder.census.gov

    U.S. Census Bureau: American Community Survey 5-Year Population Estimates (2013) http://factfinder.census.gov

    CONTACT INFORMATION vitalsigns.info@mtc.ca.gov

    METHODOLOGY NOTES (across all datasets for this indicator) Life expectancy is commonly used as a measure of the health of a population. Life expectancy does not reflect how long any given individual is expected to live; rather, it is an artificial measure that captures an aspect of the mortality rates across a population that can be compared across time and populations. More information about the determinants of life expectancy that may lead to differences in life expectancy between neighborhoods can be found in the Bay Area Regional Health Inequities Initiative (BARHII) Health Inequities in the Bay Area report at http://www.barhii.org/wp-content/uploads/2015/09/barhii_hiba.pdf. Vital Signs measures life expectancy at birth (as opposed to cohort life expectancy). A statistical model was used to estimate life expectancy for Bay Area counties and ZIP Codes based on current life tables which require both age and mortality data. A life table is a table which shows, for each age, the survivorship of a people from a certain population.

    Current life tables were created using death records and population estimates by age. The California Department of Public Health provided death records based on the California death certificate information. Records include age at death and residential ZIP Code. Single-year age population estimates at the regional- and county-level comes from the California Department of Finance population estimates and projections for ages 0-100+. Population estimates for ages 100 and over are aggregated to a single age interval. Using this data, death rates in a population within age groups for a given year are computed to form unabridged life tables (as opposed to abridged life tables). To calculate life expectancy, the probability of dying between the jth and (j+1)st birthday is assumed uniform after age 1. Special consideration is taken to account for infant mortality.

    For the ZIP Code-level life expectancy calculation, it is assumed that postal ZIP Codes share the same boundaries as ZIP Code Census Tabulation Areas (ZCTAs). More information on the relationship between ZIP Codes and ZCTAs can be found at http://www.census.gov/geo/reference/zctas.html. ZIP Code-level data uses three years of mortality data to make robust estimates due to small sample size. Year 2013 ZIP Code life expectancy estimates reflects death records from 2011 through 2013. 2013 is the last year with available mortality data. Death records for ZIP Codes with zero population (like those associated with P.O. Boxes) were assigned to the nearest ZIP Code with population. ZIP Code population for 2000 estimates comes from the Decennial Census. ZIP Code population for 2013 estimates are from the American Community Survey (5-Year Average). ACS estimates are adjusted using Decennial Census data for more accurate population estimates. An adjustment factor was calculated using the ratio between the 2010 Decennial Census population estimates and the 2012 ACS 5-Year (with middle year 2010) population estimates. This adjustment factor is particularly important for ZCTAs with high homeless population (not living in group quarters) where the ACS may underestimate the ZCTA population and therefore underestimate the life expectancy. The ACS provides ZIP Code population by age in five-year age intervals. Single-year age population estimates were calculated by distributing population within an age interval to single-year ages using the county distribution. Counties were assigned to ZIP Codes based on majority land-area.

    ZIP Codes in the Bay Area vary in population from over 10,000 residents to less than 20 residents. Traditional life expectancy estimation (like the one used for the regional- and county-level Vital Signs estimates) cannot be used because they are highly inaccurate for small populations and may result in over/underestimation of life expectancy. To avoid inaccurate estimates, ZIP Codes with populations of less than 5,000 were aggregated with neighboring ZIP Codes until the merged areas had a population of more than 5,000. ZIP Code 94103, representing Treasure Island, was dropped from the dataset due to its small population and having no bordering ZIP Codes. In this way, the original 305 Bay Area ZIP Codes were reduced to 217 ZIP Code areas for 2013 estimates. Next, a form of Bayesian random-effects analysis was used which established a prior distribution of the probability of death at each age using the regional distribution. This prior is used to shore up the life expectancy calculations where data were sparse.

  8. Life expectancy at birth worldwide 1950-2100

    • statista.com
    • ai-chatbox.pro
    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.

  9. Life expectancy at birth and at age 65, by province and territory,...

    • www150.statcan.gc.ca
    • datasets.ai
    • +5more
    Updated Dec 6, 2017
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    Government of Canada, Statistics Canada (2017). Life expectancy at birth and at age 65, by province and territory, three-year average [Dataset]. http://doi.org/10.25318/1310040901-eng
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    Dataset updated
    Dec 6, 2017
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Life expectancy at birth and at age 65, by sex, on a three-year average basis.

  10. Life expectancy of men in the United States 2023

    • statista.com
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    Statista, Life expectancy of men in the United States 2023 [Dataset]. https://www.statista.com/statistics/263731/life-expectancy-of-men-in-the-united-states/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The life expectancy of men at birth in the United States saw no significant changes in 2023 in comparison to the previous year 2022 and remained at around 75.8 years. However, 2023 marked the second consecutive increase of the life expectancy. Life expectancy at birth refers to the number of years the average newborn is expected to live, providing that mortality patterns at the time of birth do not change thereafter.Find more statistics on other topics about the United States with key insights such as total fertility rate, infant mortality rate, and total life expectancy at birth.

  11. a

    national records of scotland life expectancy at birth by local authority -...

    • data-stirling-council.hub.arcgis.com
    Updated Feb 23, 2025
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    Stirling Council - insights by location (2025). national records of scotland life expectancy at birth by local authority - open data [Dataset]. https://data-stirling-council.hub.arcgis.com/datasets/stirling-council::national-records-of-scotland-life-expectancy-at-birth-by-local-authority-open-data
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    Dataset updated
    Feb 23, 2025
    Dataset authored and provided by
    Stirling Council - insights by location
    Area covered
    Scotland
    Description

    National Records of Scotland Guidance;What is ‘period’ life expectancyAll of the estimates presented in this report are ‘period’ life expectancy. They are calculated assuming that mortality rates for each age group in the time period (here 2021-2023) are constant throughout a person’s life. Period life expectancy is often described as how long a baby born now could expect to live if they experienced today’s mortality rates throughout their lifetime. It is very unlikely that this would be the case as it means that future changes in things such as medicine and legislation are not taken into consideration.Period life expectancy is not an accurate prediction of how long a person born today will actually live, but it is a useful measure of population health at a point in time and is most useful for comparing trends over time, between areas of a country and with other countries.How national life expectancy is calculatedThe latest life expectancy figures are calculated from the mid-year population estimates for Scotland and the number of deaths registered in Scotland during 2021, 2022, and 2023. Life expectancy for Scotland is calculated for each year of age and represents the average number of years that someone of that age could expect to live if death rates for each age group remained constant over their lifetime. Life expectancy in Scotland is calculated as a three-year average, produced by combining deaths and population data for the three-year period. Three years of data are needed to provide large enough numbers to make these figures accurate and lessen the effect of very ‘good’ or ‘bad’ years. Throughout this publication, the latest life expectancy figures refer to 2021-2023 period. How sub-national life expectancy is calculatedWe calculate life expectancy for areas within Scotland using a very similar method to the national figures but with a few key differences. Firstly, we use age groups rather than single year of age. This is to increase the population size of each age group to reduce fluctuations and ensure accurate calculation of mortality rates. Secondly, we use a maximum age group of 90+ whereas the national figures are calculated up to age 100. These are known as ‘abridged life tables.’ Because these methods produce slightly different figures, we also calculate a Scotland figure using the abridged method to allow for accurate comparisons between local areas for example. This Scotland figure is only for comparison and does not replace the headline national figure. You can read more information about the methods in this publication in our methodology guide on the NRS website. Uses of life expectancyLife expectancy at birth is a very useful indicator of mortality conditions across a population at a particular point in time. It also provides an objective means of comparing trends in mortality over time, between areas of a country and with other countries. This is used to monitor and investigate health inequalities and to set public health targets. Life expectancy is also used to inform pensions policy, research and teaching.

  12. M

    Poland Life Expectancy 1950-2025

    • macrotrends.net
    csv
    Updated Apr 30, 2025
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    MACROTRENDS (2025). Poland Life Expectancy 1950-2025 [Dataset]. https://www.macrotrends.net/global-metrics/countries/pol/poland/life-expectancy
    Explore at:
    csvAvailable download formats
    Dataset updated
    Apr 30, 2025
    Dataset authored and provided by
    MACROTRENDS
    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, 1950 - May 30, 2025
    Area covered
    Poland
    Description
    Poland life expectancy for 2025 is 79.60, a 0.21% increase from 2024.
    <ul style='margin-top:20px;'>
    
    <li>Poland life expectancy for 2024 was <strong>79.43</strong>, a <strong>0.21% increase</strong> from 2023.</li>
    <li>Poland life expectancy for 2023 was <strong>79.27</strong>, a <strong>0.2% increase</strong> from 2022.</li>
    <li>Poland life expectancy for 2022 was <strong>79.11</strong>, a <strong>0.21% increase</strong> from 2021.</li>
    </ul>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.
    
  13. M

    Greece Life Expectancy (1950-2025)

    • macrotrends.net
    csv
    Updated May 31, 2025
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    MACROTRENDS (2025). Greece Life Expectancy (1950-2025) [Dataset]. https://www.macrotrends.net/global-metrics/countries/grc/greece/life-expectancy
    Explore at:
    csvAvailable download formats
    Dataset updated
    May 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Area covered
    Greece
    Description
    Greece life expectancy for 2025 is 83.10, a 0.18% increase from 2024.
    <ul style='margin-top:20px;'>
    
    <li>Greece life expectancy for 2024 was <strong>82.95</strong>, a <strong>1.74% increase</strong> from 2023.</li>
    <li>Greece life expectancy for 2023 was <strong>81.54</strong>, a <strong>0.93% increase</strong> from 2022.</li>
    <li>Greece life expectancy for 2022 was <strong>80.79</strong>, a <strong>0.88% increase</strong> from 2021.</li>
    </ul>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.
    
  14. M

    Egypt Life Expectancy (1950-2025)

    • macrotrends.net
    csv
    Updated May 31, 2025
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    MACROTRENDS (2025). Egypt Life Expectancy (1950-2025) [Dataset]. https://www.macrotrends.net/global-metrics/countries/egy/egypt/life-expectancy
    Explore at:
    csvAvailable download formats
    Dataset updated
    May 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Area covered
    Egypt
    Description
    Egypt life expectancy for 2025 is 72.85, a 0.21% increase from 2024.
    <ul style='margin-top:20px;'>
    
    <li>Egypt life expectancy for 2024 was <strong>72.69</strong>, a <strong>1.48% increase</strong> from 2023.</li>
    <li>Egypt life expectancy for 2023 was <strong>71.63</strong>, a <strong>0.88% increase</strong> from 2022.</li>
    <li>Egypt life expectancy for 2022 was <strong>71.01</strong>, a <strong>2.95% increase</strong> from 2021.</li>
    </ul>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.
    
  15. F

    Life Expectancy at Birth, Total for the United States

    • fred.stlouisfed.org
    json
    Updated Apr 16, 2025
    + more versions
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    (2025). Life Expectancy at Birth, Total for the United States [Dataset]. https://fred.stlouisfed.org/series/SPDYNLE00INUSA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Apr 16, 2025
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Life Expectancy at Birth, Total for the United States (SPDYNLE00INUSA) from 1960 to 2023 about life expectancy, life, birth, and USA.

  16. A

    ‘Life Expectancy (WHO)’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Feb 26, 2018
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2018). ‘Life Expectancy (WHO)’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-life-expectancy-who-bd27/702433a1/?iid=007-429&v=presentation
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    Dataset updated
    Feb 26, 2018
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘Life Expectancy (WHO)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/kumarajarshi/life-expectancy-who on 28 January 2022.

    --- Dataset description provided by original source is as follows ---

    Context

    Although there have been lot of studies undertaken in the past on factors affecting life expectancy considering demographic variables, income composition and mortality rates. It was found that affect of immunization and human development index was not taken into account in the past. Also, some of the past research was done considering multiple linear regression based on data set of one year for all the countries. Hence, this gives motivation to resolve both the factors stated previously by formulating a regression model based on mixed effects model and multiple linear regression while considering data from a period of 2000 to 2015 for all the countries. Important immunization like Hepatitis B, Polio and Diphtheria will also be considered. In a nutshell, this study will focus on immunization factors, mortality factors, economic factors, social factors and other health related factors as well. Since the observations this dataset are based on different countries, it will be easier for a country to determine the predicting factor which is contributing to lower value of life expectancy. This will help in suggesting a country which area should be given importance in order to efficiently improve the life expectancy of its population.

    Content

    The project relies on accuracy of data. The Global Health Observatory (GHO) data repository under World Health Organization (WHO) keeps track of the health status as well as many other related factors for all countries The data-sets are made available to public for the purpose of health data analysis. The data-set related to life expectancy, health factors for 193 countries has been collected from the same WHO data repository website and its corresponding economic data was collected from United Nation website. Among all categories of health-related factors only those critical factors were chosen which are more representative. It has been observed that in the past 15 years , there has been a huge development in health sector resulting in improvement of human mortality rates especially in the developing nations in comparison to the past 30 years. Therefore, in this project we have considered data from year 2000-2015 for 193 countries for further analysis. The individual data files have been merged together into a single data-set. On initial visual inspection of the data showed some missing values. As the data-sets were from WHO, we found no evident errors. Missing data was handled in R software by using Missmap command. The result indicated that most of the missing data was for population, Hepatitis B and GDP. The missing data were from less known countries like Vanuatu, Tonga, Togo, Cabo Verde etc. Finding all data for these countries was difficult and hence, it was decided that we exclude these countries from the final model data-set. The final merged file(final dataset) consists of 22 Columns and 2938 rows which meant 20 predicting variables. All predicting variables was then divided into several broad categories:​Immunization related factors, Mortality factors, Economical factors and Social factors.

    Acknowledgements

    The data was collected from WHO and United Nations website with the help of Deeksha Russell and Duan Wang.

    Inspiration

    The data-set aims to answer the following key questions: 1. Does various predicting factors which has been chosen initially really affect the Life expectancy? What are the predicting variables actually affecting the life expectancy? 2. Should a country having a lower life expectancy value(<65) increase its healthcare expenditure in order to improve its average lifespan? 3. How does Infant and Adult mortality rates affect life expectancy? 4. Does Life Expectancy has positive or negative correlation with eating habits, lifestyle, exercise, smoking, drinking alcohol etc. 5. What is the impact of schooling on the lifespan of humans? 6. Does Life Expectancy have positive or negative relationship with drinking alcohol? 7. Do densely populated countries tend to have lower life expectancy? 8. What is the impact of Immunization coverage on life Expectancy?

    --- Original source retains full ownership of the source dataset ---

  17. Life Expectancy - Men at the age of 65 years in the U.S. 1960-2021

    • statista.com
    • ai-chatbox.pro
    Updated Dec 12, 2023
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    Statista (2023). Life Expectancy - Men at the age of 65 years in the U.S. 1960-2021 [Dataset]. https://www.statista.com/statistics/266657/us-life-expectancy-for-men-aat-the-age-of-65-years-since-1960/
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    Dataset updated
    Dec 12, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The life expectancy for men aged 65 years in the U.S. has gradually increased since the 1960s. Now men in the United States aged 65 can expect to live 17 more years on average. Women aged 65 years can expect to live around 19.7 more years on average.

    Life expectancy in the U.S.

    As of 2021, the average life expectancy at birth in the United States was 76.33 years. Life expectancy in the U.S. had steadily increased for many years but has recently dropped slightly. Women consistently have a higher life expectancy than men but have also seen a slight decrease. As of 2019, a woman in the U.S. could be expected to live up to 79.3 years.

    Leading causes of death

    The leading causes of death in the United States include heart disease, cancer, unintentional injuries, chronic lower respiratory diseases and cerebrovascular diseases. However, heart disease and cancer account for around 38 percent of all deaths. Although heart disease and cancer are the leading causes of death for both men and women, there are slight variations in the leading causes of death. For example, unintentional injury and suicide account for a larger portion of deaths among men than they do among women.

  18. Life expectancy among the male English aristocracy 1200-1745

    • statista.com
    Updated Apr 26, 1990
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    Statista (1990). Life expectancy among the male English aristocracy 1200-1745 [Dataset]. https://www.statista.com/statistics/1102957/life-expectancy-english-aristocracy/
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    Dataset updated
    Apr 26, 1990
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom (England)
    Description

    It is only in the past two centuries where demographics and the development of human populations has emerged as a subject in its own right, as industrialization and improvements in medicine gave way to exponential growth of the world's population. There are very few known demographic studies conducted before the 1800s, which means that modern scholars have had to use a variety of documents from centuries gone by, along with archeological and anthropological studies, to try and gain a better understanding of the world's demographic development. Genealogical records One such method is the study of genealogical records from the past; luckily, there are many genealogies relating to European families that date back as far as medieval times. Unfortunately, however, all of these studies relate to families in the upper and elite classes; this is not entirely representative of the overall population as these families had a much higher standard of living and were less susceptible to famine or malnutrition than the average person (although elites were more likely to die during times of war). Nonetheless, there is much to be learned from this data. Impact of the Black Death In the centuries between 1200 and 1745, English male aristocrats who made it to their 21st birthday were generally expected to live to an age between 62 and 72 years old. The only century where life expectancy among this group was much lower was in the 1300s, where the Black Death caused life expectancy among adult English noblemen to drop to just 45 years. Experts assume that the pre-plague population of England was somewhere between four and seven million people in the thirteenth century, and just two million in the fourteenth century, meaning that Britain lost at least half of its population due to the plague. Although the plague only peaked in England for approximately eighteen months, between 1348 and 1350, it devastated the entire population, and further outbreaks in the following decades caused life expectancy in the decade to drop further. The bubonic plague did return to England sporadically until the mid-seventeenth century, although life expectancy among English male aristocrats rose again in the centuries following the worst outbreak, and even peaked at more than 71 years in the first half of the sixteenth century.

  19. Zhejiang Male Life Expectancy

    • knoema.de
    csv, json, sdmx, xls
    Updated Apr 5, 2022
    + more versions
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    Knoema (2022). Zhejiang Male Life Expectancy [Dataset]. https://knoema.de/atlas/China/Zhejiang/Male-Life-Expectancy
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    json, sdmx, xls, csvAvailable download formats
    Dataset updated
    Apr 5, 2022
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2000 - 2010
    Area covered
    Zhejiang
    Variables measured
    Male Life Expectancy
    Description

    75,58 (years) in 2010. Life Expectancy refers to the average number of years that people who already have lived to a certain age and can relive. It reflects integrated indicators of the level of human health and the level of death and is mainly affected by the level of social and economic conditions and health standards and other factors, and differs a lot in different societies and different period of time. In the case of not specified ages, the average life expectancy refers to life expectancy of the population aged 0.

  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).

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Statista (2024). Life expectancy in the United States, 1860-2020 [Dataset]. https://www.statista.com/statistics/1040079/life-expectancy-united-states-all-time/
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Life expectancy in the United States, 1860-2020

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47 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Aug 9, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

Over the past 160 years, life expectancy (from birth) in the United States has risen from 39.4 years in 1860, to 78.9 years in 2020. One of the major reasons for the overall increase of life expectancy in the last two centuries is the fact that the infant and child mortality rates have decreased by so much during this time. Medical advancements, fewer wars and improved living standards also mean that people are living longer than they did in previous centuries.

Despite this overall increase, the life expectancy dropped three times since 1860; from 1865 to 1870 during the American Civil War, from 1915 to 1920 during the First World War and following Spanish Flu epidemic, and it has dropped again between 2015 and now. The reason for the most recent drop in life expectancy is not a result of any specific event, but has been attributed to negative societal trends, such as unbalanced diets and sedentary lifestyles, high medical costs, and increasing rates of suicide and drug use.

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