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.

Regional indicators of longevity and lifespan inequality for unconditional and conditional age-at-death distributions.

Historical chart and dataset showing World life expectancy by year from 1950 to 2025.

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.

Historical chart and dataset showing U.S. life expectancy by year from 1950 to 2025.

Philippines life expectancy for 2025 is 71.92, a 0.18% increase from 2024.

<ul style='margin-top:20px;'>

<li>Philippines life expectancy for 2024 was <strong>71.79</strong>, a <strong>2.8% increase</strong> from 2023.</li>
<li>Philippines life expectancy for 2023 was <strong>69.83</strong>, a <strong>0.52% increase</strong> from 2022.</li>
<li>Philippines life expectancy for 2022 was <strong>69.47</strong>, a <strong>4.19% 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.

Counterfactual analyses for the Theil index and the variance.

Data Series: Life expectancy at age 60, by sex Indicator: III.10 - Life expectancy at age 60, by sex Source year: 2024 This dataset is part of the Minimum Gender Dataset compiled by the United Nations Statistics Division. Domain: Health and related services

This statistic shows the countries and territories with the highest projected life expectancy between 2050 and 2055. Between 2050 and 2055, Hong Kong SAR is projected to have a life expectancy at birth of 89.22 years.

The social and financial systems of many nations throughout the world are significantly impacted by life expectancy (LE) models. Numerous studies have pointed out the crucial effects that life expectancy projections will have on societal issues and the administration of the global healthcare system. The computation of life expectancy has primarily entailed building an ordinary life table. However, the life table is limited by its long duration, the assumption of homogeneity of cohorts and censoring. As a result, a robust and more accurate approach is inevitable. In this study, a supervised machine learning model for estimating life expectancy rates is developed. The model takes into consideration health, socioeconomic, and behavioral characteristics by using the eXtreme Gradient Boosting (XGBoost) algorithm to data from 193 UN member states. The effectiveness of the model's prediction is compared to that of the Random Forest (RF) and Artificial Neural Network (ANN) regressors utilized i...

Malta MT: Life Expectancy at Birth data was reported at 84.200 Year in 2050. This stayed constant from the previous number of 84.200 Year for 2049. Malta MT: Life Expectancy at Birth data is updated yearly, averaging 82.950 Year from Jun 1995 (Median) to 2050, with 56 observations. The data reached an all-time high of 84.200 Year in 2050 and a record low of 77.200 Year in 1995. Malta MT: Life Expectancy at Birth data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s Malta – Table MT.US Census Bureau: Demographic Projection.

India life expectancy for 2025 is 70.82, a 0.29% increase from 2024.

<ul style='margin-top:20px;'>

<li>India life expectancy for 2024 was <strong>70.62</strong>, a <strong>1.92% decline</strong> from 2023.</li>
<li>India life expectancy for 2023 was <strong>72.00</strong>, a <strong>0.43% increase</strong> from 2022.</li>
<li>India life expectancy for 2022 was <strong>71.70</strong>, a <strong>6.56% 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.

According to UN world population prospects from 2024, the average life expectancy at birth was projected to stand at around 85.8 years in Hong Kong in 2023, followed by just over 85.5 years in Macao. Life expectancy at birth was forecasted to be approximately 72.9 years in Mongolia as of 2023.

Life table data for "Bounce backs amid continued losses: Life expectancy changes since COVID-19"

cc-by Jonas Schöley, José Manuel Aburto, Ilya Kashnitsky, Maxi S. Kniffka, Luyin Zhang, Hannaliis Jaadla, Jennifer B. Dowd, and Ridhi Kashyap. "Bounce backs amid continued losses: Life expectancy changes since COVID-19".

These are CSV files of life tables over the years 2015 through 2021 across 29 countries analyzed in the paper "Bounce backs amid continued losses: Life expectancy changes since COVID-19".

40-lifetables.csv

Life table statistics 2015 through 2021 by sex and region with uncertainty quantiles based on Poisson replication of death counts.

30-lt_input.csv

Life table input data.

• `id`: unique row identifier
• `region_iso`: iso3166-2 region codes
• `sex`: Male, Female, Total
• `year`: iso year
• `age_start`: start of age group
• `age_width`: width of age group, Inf for age_start 100, otherwise 1
• `nweeks_year`: number of weeks in that year, 52 or 53
• `death_total`: number of deaths by any cause
• `population_py`: person-years of exposure (adjusted for leap-weeks and missing weeks in input data on all cause deaths)
• `death_total_nweeksmiss`: number of weeks in the raw input data with at least one missing death count for this region-sex-year stratum. missings are counted when the week is implicitly missing from the input data or if any NAs are encounted in this week or if age groups are implicitly missing for this week in the input data (e.g. 40-45, 50-55)
• `death_total_minnageraw`: the minimum number of age-groups in the raw input data within this region-sex-year stratum
• `death_total_maxnageraw`: the maximum number of age-groups in the raw input data within this region-sex-year stratum
• `death_total_minopenageraw`: the minimum age at the start of the open age group in the raw input data within this region-sex-year stratum
• `death_total_maxopenageraw`: the maximum age at the start of the open age group in the raw input data within this region-sex-year stratum
• `death_total_source`: source of the all-cause death data
• `population_midyear`: midyear population (July 1st)
• `population_source`: source of the population count/exposure data
• `death_covid`: number of deaths due to covid
• `death_covid_date`: number of deaths due to covid as of
• `death_covid_nageraw`: the number of age groups in the covid input data
• `ex_wpp_estimate`: life expectancy estimates from the World Population prospects for a five year period, merged at the midpoint year
• `ex_hmd_estimate`: life expectancy estimates from the Human Mortality Database
• `nmx_hmd_estimate`: death rate estimates from the Human Mortality Database
• `nmx_cntfc`: Lee-Carter death rate projections based on trend in the years 2015 through 2019

Deaths

• source:
  • STMF input data series (https://www.mortality.org/Public/STMF/Outputs/stmf.csv)
  • ONS for GB-EAW pre 2020
  • CDC for US pre 2020
• STMF:
  • harmonized to single ages via pclm
  • pclm iterates over country, sex, year, and within-year age grouping pattern and converts irregular age groupings, which may vary by country, year and week into a regular age grouping of 0:110
  • smoothing parameters estimated via BIC grid search seperately for every pclm iteration
  • last age group set to [110,111)
  • ages 100:110+ are then summed into 100+ to be consistent with mid-year population information
  • deaths in unknown weeks are considered; deaths in unknown ages are not considered
• ONS:
  • data already in single ages
  • ages 100:105+ are summed into 100+ to be consistent with mid-year population information
  • PCLM smoothing applied to for consistency reasons
• CDC:
  • The CDC data comes in single ages 0:100 for the US. For 2020 we only have the STMF data in a much coarser age grouping, i.e. (0, 1, 5, 15, 25, 35, 45, 55, 65, 75, 85+). In order to calculate life-tables in a manner consistent with 2020, we summarise the pre 2020 US death counts into the 2020 age grouping and then apply the pclm ungrouping into single year ages, mirroring the approach to the 2020 data

Population

• source:
  • for years 2000 to 2019: World Population Prospects 2019 single year-age population estimates 1950-2019
  • for year 2020: World Population Prospects 2019 single year-age population projections 2020-2100
• mid-year population
  • mid-year population translated into exposures:
    • if a region reports annual deaths using the Gregorian calendar definition of a year (365 or 366 days long) set exposures equal to mid year population estimates
    • if a region reports annual deaths using the iso-week-year definition of a year (364 or 371 days long), and if there is a leap-week in that year, set exposures equal to 371/364\*mid_year_population to account for the longer reporting period. in years without leap-weeks set exposures equal to mid year population estimates. further multiply by fraction of observed weeks on all weeks in a year.

COVID deaths

• source: COVerAGE-DB (https://osf.io/mpwjq/)
• the data base reports cumulative numbers of COVID deaths over days of a year, we extract the most up to date yearly total

External life expectancy estimates

• source:
  • World Population Prospects (https://population.un.org/wpp/Download/Files/1_Indicators%20(Standard)/CSV_FILES/WPP2019_Life_Table_Medium.csv), estimates for the five year period 2015-2019
  • Human Mortality Database (https://mortality.org/), single year and age tables

Life expectancy at birth - number of years newborn female children would live if subject to the mortality risks prevailing for the cross section of population at the time of their birth (estimated)

World Population Data from the United Nations (UN), United Nations Department of Economic and Social Affairs Population Division World Population Prospects 2022

Notes
File (CSV, 6 KB) Location notes.

**Demographic Indicators ** Indicator reference (CSV, 4 KB) 1950-2100, medium (ZIP, 7.77 MB) 2022-2100, other scenarios (ZIP, 34.76 MB) Demographic Indicators:

Total Population, as of 1 January (thousands)
Total Population, as of 1 July (thousands)
Male Population, as of 1 July (thousands)
Female Population, as of 1 July (thousands)
Population Density, as of 1 July (persons per square km)
Population Sex Ratio, as of 1 July (males per 100 females)
Median Age, as of 1 July (years)
Natural Change, Births minus Deaths (thousands)
Rate of Natural Change (per 1,000 population)
Population Change (thousands)
Population Growth Rate (percentage)
Population Annual Doubling Time (years)
Births (thousands)
Births by women aged 15 to 19 (thousands)
Crude Birth Rate (births per 1,000 population)
Total Fertility Rate (live births per woman)
Net Reproduction Rate (surviving daughters per woman)
Mean Age Childbearing (years)
Sex Ratio at Birth (males per 100 female births)
Total Deaths (thousands)
Male Deaths (thousands)
Female Deaths (thousands)
Crude Death Rate (deaths per 1,000 population)
Life Expectancy at Birth, both sexes (years)
Male Life Expectancy at Birth (years)
Female Life Expectancy at Birth (years)
Life Expectancy at Age 15, both sexes (years)
Male Life Expectancy at Age 15 (years)
Female Life Expectancy at Age 15 (years)
Life Expectancy at Age 65, both sexes (years)
Male Life Expectancy at Age 65 (years)
Female Life Expectancy at Age 65 (years)
Life Expectancy at Age 80, both sexes (years)
Male Life Expectancy at Age 80 (years)
Female Life Expectancy at Age 80 (years)
Infant Deaths, under age 1 (thousands)
Infant Mortality Rate (infant deaths per 1,000 live births)
Live births Surviving to Age 1 (thousands)
Deaths under age 5 (thousands)
Under-five Mortality Rate (deaths under age 5 per 1,000 live births)
Mortality before Age 40, both sexes (deaths under age 40 per 1,000 live births)
Male mortality before Age 40 (deaths under age 40 per 1,000 male live births)
Female mortality before Age 40 (deaths under age 40 per 1,000 female live births)
Mortality before Age 60, both sexes (deaths under age 60 per 1,000 live births)
Male mortality before Age 60 (deaths under age 60 per 1,000 male live births)
Female mortality before Age 60 (deaths under age 60 per 1,000 female live births)
Mortality between Age 15 and 50, both sexes (deaths under age 50 per 1,000 alive at age 15)
Male mortality between Age 15 and 50 (deaths under age 50 per 1,000 males alive at age 15)
Female mortality between Age 15 and 50 (deaths under age 50 per 1,000 females alive at age 15)
Mortality between Age 15 and 60, both sexes (deaths under age 60 per 1,000 alive at age 15)
Male mortality between Age 15 and 60 (deaths under age 60 per 1,000 males alive at age 15)
Female mortality between Age 15 and 60 (deaths under age 60 per 1,000 females alive at age 15)
Net Number of Migrants (thousands)
Net Migration Rate (per 1,000 population)

Fertility
1950-2100, single age (ZIP, 78.01 MB) 1950-2100, 5-year age groups (ZIP, 22.38 MB)

Age-specific Fertility Rate (ASFR)
Percent Age-specific Fertility Rate (PASFR)
Births (thousands)

**Life Tables ** 1950-2021, medium (ZIP, 68.72 MB) 2022-2100, medium (ZIP, 74.62 MB) Abridged life tables up to age 100 by sex and both sexes combined providing a set of values showing the mortality experience of a hypothetical group of infants born at the same time and subject throughout their lifetime to the specific mortality rates of a given year, from 1950 to 2100. Only medium is available.

mx: Central death rate, nmx, for the age interval (x, x+n)
qx: Probability of dying (nqx), for an individual between age x and x+n
px: Probability of surviving, (npx), for an individual of age x to age x+n
lx: Number of survivors, (lx), at age (x) for 100000 births
dx: Number of deaths, (ndx), between ages x and x+n
Lx: Number of person-years lived, (nLx), between ages x and x+n
Sx: Survival ratio (nSx) corresponding to proportion of the life table population in age group (x, x+n) who are alive n year later
Tx: Person-years lived, (Tx), above age x
ex: Expectation of life (ex) at age x, i.e., average number of years lived subsequent to age x by those reaching age x
ax: Average number of years lived (nax) between ages x and x+n by those dying in the interval

Life Tables 1950-2021 (ZIP, 94.76 MB) 2022-2100 (ZIP, 101.66 MB) Single age life tables up to age 10...

Togo: Life expectancy, in years: Pour cet indicateur, La Banque mondiale fournit des données pour la Togo de 1960 à 2022. La valeur moyenne pour Togo pendant cette période était de 52.88 years avec un minimum de 42.69 years en 1960 et un maximum de 61.62 years en 2021.

This dataset contains World life expectancy data from 1980 - 2015 Data from the United Nations Economic Commission for Europe. Follow datasource.kapsarc.org for timely data to advance energy economics research.

Allemagne: Life expectancy, in years: Pour cet indicateur, La Banque mondiale fournit des données pour la Allemagne de 1960 à 2022. La valeur moyenne pour Allemagne pendant cette période était de 75.53 years avec un minimum de 69.06 years en 1960 et un maximum de 81.29 years en 2019.

In 1870, life expectancy from birth in the modern-day territory of Iran was approximately 25.6 years. This figure would see little change in Iran for much of the late 19th and early 20th century; the only major change was the dip in the late 1910s, resulting from the 1918 Spanish Flu epidemic) and a famine from 1918 to 1919, which led to significant fatalities across the region. Life expectancy would begin to grow rapidly in the 1940s, as the country’s oil reserves, discovered in 1908, would see an economic boom in the years during and immediately following the Second World War, providing a valuable source of funding for socio-economic reforms implemented under Reza Shah. This, in turn, saw a rapid modernization of healthcare in the country, as well as the implementation of mass vaccination programs in the early 1940s, which greatly lowered child mortality rates and allowed life expectancy to rise.

As implementation of these programs would continue, life expectancy from birth rose from just over 27 years in 1940, to approximately 39 years in 1950. After the end of the rapid growth of the 1940s, life expectancy would continue steadily rise until 1980, peaking at 56.7 years. However, life expectancy would fall to just 52 years in 1985, the result of mass fatalities in the Iran-Iraq War of 1980 to 1988. Following the war’s end with a UN-brokered ceasefire in 1988, life expectancy would quickly recover, reaching over 69 years by the turn of the century. Life expectancy has continued to rise throughout the 21st century, and it is now estimated that the average child born in Iran in 2020 will live to the age of approximately 76 years.