Sunshine, Mediterranean diet, and a sociable lifestyle must be the secret to living a long life, because Spain’s life expectancy ranked as one of the highest on the planet according to the most recent studies. The Mediterranean country managed to increase its average life expectancy by approximately two years in the last decade, standing at 83.77 years old as of 2023. Regions full of life: developed Asia and the Latin Arch There seems to be a pattern as to where in the world people’s lives tend to be longer. As can be seen in the most recent data, Japan topped the list of the countries with the longest life expectancy at 84 years old. Other developed Asian countries can be found on this list, Republic of Korea with a life expectancy of approximately 83 years old and Singapore with 83 years old. Similarly, along with Spain, France, and Italy both featured a very high life expectancy. The latest studies show that people that were born in these Mediterranean countries had an expected life length of roughly 83 years at birth. Ageing: a common problem across the continent Data related to age in Spain essentially behave in a similar fashion as the rest of its European counterparts, whose population is also slowly but surely getting older. This will not come as a surprise since Spain has one of the highest life expectancies at birth in the world and one of the lowest European fertility rate, which stood at 1.29 children per woman according to the latest reports.

This graph shows the life expectancy at the age of 35 for the French population from 2009 to 2013, by gender and level of education. According to the source, french women without a diploma lived on average 83 years.

This data set shows the life expectancy age based on gender and county.

This dataset of U.S. mortality trends since 1900 highlights the differences in age-adjusted death rates and life expectancy at birth by race and sex. Age-adjusted death rates (deaths per 100,000) after 1998 are calculated based on the 2000 U.S. standard population. Populations used for computing death rates for 2011–2017 are postcensal estimates based on the 2010 census, estimated as of July 1, 2010. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years between 2000 and 2010 are revised using updated intercensal population estimates and may differ from rates previously published. Data on age-adjusted death rates prior to 1999 are taken from historical data (see References below). Life expectancy data are available up to 2017. Due to changes in categories of race used in publications, data are not available for the black population consistently before 1968, and not at all before 1960. More information on historical data on age-adjusted death rates is available at https://www.cdc.gov/nchs/nvss/mortality/hist293.htm. SOURCES CDC/NCHS, National Vital Statistics System, historical data, 1900-1998 (see https://www.cdc.gov/nchs/nvss/mortality_historical_data.htm); CDC/NCHS, National Vital Statistics System, mortality data (see http://www.cdc.gov/nchs/deaths.htm); and CDC WONDER (see http://wonder.cdc.gov). REFERENCES National Center for Health Statistics, Data Warehouse. Comparability of cause-of-death between ICD revisions. 2008. Available from: http://www.cdc.gov/nchs/nvss/mortality/comparability_icd.htm. National Center for Health Statistics. Vital statistics data available. Mortality multiple cause files. Hyattsville, MD: National Center for Health Statistics. Available from: https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm. Kochanek KD, Murphy SL, Xu JQ, Arias E. Deaths: Final data for 2017. National Vital Statistics Reports; vol 68 no 9. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_09-508.pdf. Arias E, Xu JQ. United States life tables, 2017. National Vital Statistics Reports; vol 68 no 7. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_07-508.pdf. National Center for Health Statistics. Historical Data, 1900-1998. 2009. Available from: https://www.cdc.gov/nchs/nvss/mortality_historical_data.htm.

Contains all of the data and code to reproduce the tables and figures contained in: Harper S, MacLehose RA, Kaufman JS. Trends in the Black-White Life-Expectancy Gap among US States, 1990-2009. Health Affairs 2014;33(8):1375-82.

This statistic shows a ranking of 20 countries with the lowest life expectancy for people born in 2009. People who were born in Angola in 2009, at that moment had a life expectancy of 47.6 years.

This dataset presents the footprint of the rate of potentially avoidable deaths per 100,000 people, age-standardised, by sex. Potentially avoidable deaths are deaths below the age of 75 from conditions that are potentially preventable through individualised care and/or treatable through existing primary or hospital care. The data spans the years of 2009-2016 and is aggregated to 2015 Department of Health Primary Health Network (PHN) areas, based on the 2011 Australian Statistical Geography Standard (ASGS). The data is based on analysis of the Australian Institute of Health and Welfare (AIHW) National Mortality Database (NMD). The database includes cause of death information which is sourced from the Registrars of Births, Deaths and Marriages in each state and territory, the National Coronial Information System, and compiled and coded by the Australian Bureau of Statistics (ABS). For further information about this dataset, visit the data source: Australian Institute of Health and Welfare - Life Expectancy and Potentially Avoidable Deaths 2014-2016 Data Tables. Please note: AURIN has spatially enabled the original data using the Department of Health - PHN Areas. Rates have been age-standardised to facilitate comparisons between populations with different age structures.

Argentina Life Expectancy at Birth: Men data was reported at 73.720 Year in 2015. This records an increase from the previous number of 72.080 Year for 2009. Argentina Life Expectancy at Birth: Men data is updated yearly, averaging 72.900 Year from Dec 2009 (Median) to 2015, with 2 observations. The data reached an all-time high of 73.720 Year in 2015 and a record low of 72.080 Year in 2009. Argentina Life Expectancy at Birth: Men data remains active status in CEIC and is reported by National Statistics & Census Institute. The data is categorized under Global Database’s Argentina – Table AR.G007: Life Expectancy at Birth.

There are two types of life tables –cohort/generational and current/period life tables. Cohort life tables are constructed using the mortality experience of the cohort and may not be useful for the cohort itself because every member of the cohort has to die before such a table can be constructed. A current or period life table uses current mortality experience applied to a cohort of births to compute the life table. On the basis of age intervals, life tables are classified as complete or abridged. A complete life table uses exact single years and an abridged life table uses age intervals. This report presents five-year age interval abridged current life tables. Computation of an abridged life table from which life expectancy is derived requires mainly population and death data by age and sex. In this report, population data consist of the 1990, 2000, and 2010 census counts of residents of each Illinois County and the city of Chicago. These data were aggregated into five-year age groups and by sex and used as denominators in computing mortality rates. The death data were received from the Illinois Center for Health Statistics (ICHS) of the Office of Health Informatics (OHI). ICHS receives these data from the Illinois Vital Records System (IVRS). Number of deaths by sex and specific age for each county were obtained from 1989 to 2011 and aggregated at county level by five-year age groups for each sex. Three-year averages were then computed for the periods 1989-1991, 1999-2001, and 2009-2011 and were used as numerators in computing mortality rates. The overall life tables were constructed using Chiang’s (1984) Method II. This method assumes a homogeneous population in which all individuals are subjected to the same force of mortality, and in which survival of an individual is independent of the survival of any other individual in the group. The method does not remove fluctuations in observed data; therefore, the 2 produced life tables exhibit more the factual mortality pattern in the actual data and less the underlying mortality picture of the populations. Margin of errors were computed to provide basis for evaluating the accuracy of the estimated life expectancies.

Life expectancy at birth, male of Mchinji improved by 1.45% from 55.1 years in 2017 to 55.9 years in 2018. Since the 4.30% growth in 2009, life expectancy at birth, male shot up by 15.18% in 2018.

Life expectancy, number of years lived in different states of mobility limitation (95%CI), and proportion of years lived with mobility limitation to life expectancy at age 60 for Thai females by regions, 2009.

Life expectancy at birth (females) of Vorarlberg increased by 0.71% from 84.8 years in 2010 to 85.4 years in 2011. Since the 0.12% fall in 2009, life expectancy at birth (females) rose by 1.18% in 2011.

In 2022, women will live almost four years longer than men in Poland at birth. However, the rate of healthy life expectancy has increased for both sexes over the observed period.

Argentina Life Expectancy at Birth: Women data was reported at 80.330 Year in 2015. This records an increase from the previous number of 78.810 Year for 2009. Argentina Life Expectancy at Birth: Women data is updated yearly, averaging 79.570 Year from Dec 2009 (Median) to 2015, with 2 observations. The data reached an all-time high of 80.330 Year in 2015 and a record low of 78.810 Year in 2009. Argentina Life Expectancy at Birth: Women data remains active status in CEIC and is reported by National Statistics & Census Institute. The data is categorized under Global Database’s Argentina – Table AR.G007: Life Expectancy at Birth.

Total life expectancy, life expectancy in good self-rated health and life expectancy in less than good self-rated health at age 60 in Chile, 2009 and 2016.

This dataset presents the footprint of the rate of potentially avoidable deaths per 100,000 people, age-standardised, by sex. Potentially avoidable deaths are deaths below the age of 75 from conditions that are potentially preventable through individualised care and/or treatable through existing primary or hospital care. The data spans the years of 2009-2016 and is aggregated to Statistical Area Level 3 (SA3) geographic areas from the 2016 Australian Statistical Geography Standard (ASGS). The data is based on analysis of the Australian Institute of Health and Welfare (AIHW) National Mortality Database (NMD). The database includes cause of death information which is sourced from the Registrars of Births, Deaths and Marriages in each state and territory, the National Coronial Information System, and compiled and coded by the Australian Bureau of Statistics (ABS). For further information about this dataset, visit the data source: Australian Institute of Health and Welfare - Life Expectancy and Potentially Avoidable Deaths 2014-2016 Data Tables. Please note:

AURIN has spatially enabled the original data.

Rates have been age-standardised to facilitate comparisons between populations with different age structures.

Estimates of life expectancy, healthy life expectancy and disability-free life expectancy for small area populations for males and females at birth and age 65 years, 2009 to 2013.

Central African Republic CF: Life Expectancy at Birth: Male data was reported at 55.260 Year in 2023. This records an increase from the previous number of 15.387 Year for 2022. Central African Republic CF: Life Expectancy at Birth: Male data is updated yearly, averaging 46.805 Year from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 55.260 Year in 2023 and a record low of 12.383 Year in 2009. Central African Republic CF: Life Expectancy at Birth: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Central African Republic – Table CF.World Bank.WDI: Social: 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: 2024 Revision; (2) Statistical databases and publications from national statistical offices; (3) Eurostat: Demographic Statistics.;Weighted average;