This table contains 2394 series, with data for years 1991 - 1991 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Population group (19 items: Entire cohort; Income adequacy quintile 1 (lowest);Income adequacy quintile 2;Income adequacy quintile 3 ...), Age (14 items: At 25 years; At 30 years; At 40 years; At 35 years ...), Sex (3 items: Both sexes; Females; Males ...), Characteristics (3 items: Life expectancy; High 95% confidence interval; life expectancy; Low 95% confidence interval; life expectancy ...).

International estimates of mean life expectancy at age 40, by country for men and women

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

The average number of years that a group of individuals could expect to live at a given age if they are at risk of dying observed at each age during the reference year(s). The calculation is done over several years in order to have a more stable estimate. Note: The entity's life expectancy may be influenced by the presence or absence of a nursing home in the entity's territory. Although the calculation includes all the deaths observed over the selected period, the impact of some deaths on life expectancy remains greater in a sparsely populated entity. The classification of entities according to their life expectancy should therefore be interpreted with caution.

This table contains 2754 series, with data for years 2005/2007 - 2012/2014 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (153 items: Canada; Newfoundland and Labrador; Eastern Regional Integrated Health Authority, Newfoundland and Labrador; Central Regional Integrated Health Authority, Newfoundland and Labrador; ...);  Age group (2 items: At birth; At age 65);  Sex (3 items: Both sexes; Males; Females);  Characteristics (3 items: Life expectancy; Low 95% confidence interval, life expectancy; High 95% confidence interval, life expectancy).

Abstract

The Health Inequality Project uses big data to measure differences in life expectancy by income across areas and identify strategies to improve health outcomes for low-income Americans.

Section 7

This table reports life expectancy point estimates and standard errors for men and women at age 40 for each percentile of the national income distribution. Both race-adjusted and unadjusted estimates are reported.

Source

Section 13

This table reports life expectancy point estimates and standard errors for men and women at age 40 for each percentile of the national income distribution separately by year. Both race-adjusted and unadjusted estimates are reported.

Source

Section 6

This dataset was created on 2020-01-10 18:53:00.508 by merging multiple datasets together. The source datasets for this version were:

Commuting Zone Life Expectancy Estimates by year: CZ-level by-year life expectancy estimates for men and women, by income quartile

Commuting Zone Life Expectancy: Commuting zone (CZ)-level life expectancy estimates for men and women, by income quartile

Commuting Zone Life Expectancy Trends: CZ-level estimates of trends in life expectancy for men and women, by income quartile

Commuting Zone Characteristics: CZ-level characteristics

Commuting Zone Life Expectancy for larger populations: CZ-level life expectancy estimates for men and women, by income ventile

Section 15

This table reports life expectancy point estimates and standard errors for men and women at age 40 for each quartile of the national income distribution by state of residence and year. Both race-adjusted and unadjusted estimates are reported.

Source

Section 11

This table reports US mortality rates by gender, age, year and household income percentile. Household incomes are measured two years prior to the mortality rate for mortality rates at ages 40-63, and at age 61 for mortality rates at ages 64-76. The “lag” variable indicates the number of years between measurement of income and mortality.

Observations with 1 or 2 deaths have been masked: all mortality rates that reflect only 1 or 2 deaths have been recoded to reflect 3 deaths

Source

Section 3

This table reports coefficients and standard errors from regressions of life expectancy estimates for men and women at age 40 for each quartile of the national income distribution on calendar year by commuting zone of residence. Only the slope coefficient, representing the average increase or decrease in life expectancy per year, is reported. Trend estimates for both race-adjusted and unadjusted life expectancies are reported. Estimates are reported for the 100 largest CZs (populations greater than 590,000) only.

Source

Section 9

This table reports life expectancy estimates at age 40 for Males and Females for all countries. Source: World Health Organization, accessed at: http://apps.who.int/gho/athena/

Source

Section 10

This table reports life expectancy point estimates and standard errors for men and women at age 40 for each quartile of the national income distribution by county of residence. Both race-adjusted and unadjusted estimates are reported. Estimates are reported for counties with populations larger than 25,000 only

Source

Section 2

This table reports life expectancy point estimates and standard errors for men and women at age 40 for each quartile of the national income distribution by commuting zone of residence and year. Both race-adjusted and unadjusted estimates are reported. Estimates are reported for the 100 largest CZs (populations greater than 590,000) only.

Source

Section 8

This table reports US population and death counts by age, year, and sex from various sources. Counts labelled “dm1” are derived from the Social Security Administration Data Master 1 file. Counts labelled “irs” are derived from tax data. Counts labelled “cdc” are derived from NCHS life tables.

Source

Section 12

This table reports numerous county characteristics, compiled from various sources. These characteristics are described in the county life expectancy table.

Two variables constructed by the Cen

Mean, median and modal ages at death in the UK and its constituent countries, 2001 to 2003 and 2016 to 2018.

Haiti HT: Life Expectancy at Birth: Male data was reported at 61.162 Year in 2016. This records an increase from the previous number of 60.902 Year for 2015. Haiti HT: Life Expectancy at Birth: Male data is updated yearly, averaging 52.441 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 61.162 Year in 2016 and a record low of 40.804 Year in 1960. Haiti HT: 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 Haiti – Table HT.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. (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;

San Marino Life Expectancy at Birth: Male data was reported at 84.100 Year in 2012. San Marino Life Expectancy at Birth: Male data is updated yearly, averaging 84.100 Year from Dec 2012 (Median) to 2012, with 1 observations. San Marino 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 San Marino – Table SM.World Bank.WDI: 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. (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;

Mongolia MN: Life Expectancy at Birth: Male data was reported at 65.277 Year in 2016. This records an increase from the previous number of 65.091 Year for 2015. Mongolia MN: Life Expectancy at Birth: Male data is updated yearly, averaging 57.291 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 65.277 Year in 2016 and a record low of 46.161 Year in 1960. Mongolia MN: 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 Mongolia – Table MN.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. (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;

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Life expectancy is the average number of years of life left at a particular age, based on death rates for a given period. This is a hypothetical measure useful for tracking mortality trends in the population.

Trinidad and Tobago TT: Life Expectancy at Birth: Male data was reported at 67.264 Year in 2016. This records an increase from the previous number of 67.163 Year for 2015. Trinidad and Tobago TT: Life Expectancy at Birth: Male data is updated yearly, averaging 64.994 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 67.264 Year in 2016 and a record low of 61.081 Year in 1960. Trinidad and Tobago TT: 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 Trinidad and Tobago – Table TT.World Bank.WDI: 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. (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;

Ecuador EC: Life Expectancy at Birth: Male data was reported at 73.636 Year in 2016. This records an increase from the previous number of 73.402 Year for 2015. Ecuador EC: Life Expectancy at Birth: Male data is updated yearly, averaging 65.622 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 73.636 Year in 2016 and a record low of 51.955 Year in 1960. Ecuador EC: 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 Ecuador – Table EC.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. (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;

This dataset, released February 2021, contains Median age at death of males, 2014 to 2018; Median age at death of females, 2014 to 2018; Median age at death of persons, 2014 to 2018;

United States US: Mortality Rate: Adult: Male: per 1000 Male Adults data was reported at 133.993 Ratio in 2015. This records an increase from the previous number of 131.567 Ratio for 2014. United States US: Mortality Rate: Adult: Male: per 1000 Male Adults data is updated yearly, averaging 176.083 Ratio from Dec 1960 (Median) to 2015, with 56 observations. The data reached an all-time high of 240.957 Ratio in 1968 and a record low of 131.037 Ratio in 2013. United States US: Mortality Rate: Adult: Male: per 1000 Male Adults data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Health Statistics. Adult mortality rate, male, is the probability of dying between the ages of 15 and 60--that is, the probability of a 15-year-old male dying before reaching age 60, if subject to age-specific mortality rates of the specified year between those ages.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) University of California, Berkeley, and Max Planck Institute for Demographic Research. The Human Mortality Database.; Weighted average;

Namur - Population - Life expectancy - Difference between women and men Difference from the average of the municipality (4.13 years) Considering that the difference in life expectancy between the two sexes should be as small as possible, Neighborhoods with a smaller difference are in a more favourable situation (in red) than those with a larger difference (in blue)

In 2024 life expectancy in France is a question of region, department and city

In France, life expectancy at birth is 85.3 years for women and 79.4 years for men. This means that on average, a French woman born in 2024 will live to the age of 85.3 years, and a man to the age of 79.4.

However, life expectancy varies considerably depending on the region, department and city where you live.

In region

Life expectancy is highest in Île-de-France, with 86.6 years for women and 81.9 years for men. Then come Provence-Alpes-Côte d’Azur (86.5 years for women, 81.7 years for men), Auvergne-Rhône-Alpes (86.4 years for women, 81.5 years for men) and Brittany (86.2 years for women, 81.3 years for men).

Conversely, life expectancy is lowest in Hauts-de-France, with 83.9 years for women and 78.9 years for men. Then come Normandy (84.1 years for women, 79.1 years for men), Centre-Val de Loire (84.2 years for women, 79.3 years for men) and Burgundy-Franche-Comté (84.3 years for women, 79.4 years for men).

Department

At the departmental level, the departments where we live the longest are Hauts-de-Seine (86.7 years for women, 81.9 years for men), Yvelines (86.4 years for women, 81.6 years for men), Val-de-Marne (86.3 years for women, 81.3 years for men), Paris (86.2 years for women, 81.1 years for men) and Haute-Garonne (86.2 years for women, 81.1 years for men).

Conversely, the departments where we live the least long are Creuse (76.4 years for women, 72.3 years for men), Pas-de-Calais (76.6 years for women, 72.5 years for men), Aisne (76.7 years for women, 72.6 years for men) and Somme (76.8 years for women, 72.7 years for men).

In town

At the municipal level, the cities where we live the longest are Paris (86.2 years for women, 81.1 years for men), Neuilly-sur-Seine (86.1 years for women, 81.0 years for men), Boulogne-Billancourt (85.9 years for women, 80.8 years for men), Rueil-Malmaison (85.8 years for women, 80.7 years for men) and Issy-les-Moulineaux (85.7 years for women, 80.6 years for men).

Conversely, the cities with the least long lived are The Crown (75.4 years for women, 71.3 years for men), Saint-Quentin (75.5 years for women, 71.4 years for men), Maubeuge (75.6 years for women, 71.5 years for men) and Valenciennes (75.7 years for women, 71.6 years for men).

Factors that influence life expectancy

Many factors influence life expectancy, including:

• Standard of living
• Access to care
• The conditions

To view life expectancy for a specific region, department or city, please consult the following document:

This indicator measures inequalities in life expectancy at birth within England as a whole, each English region, and each local authority. Life expectancy at birth is calculated for each deprivation decile of lower super output areas within each area and then the slope index of inequality (SII) is calculated based on these figures.

The SII is a measure of the social gradient in life expectancy, i.e., how much life expectancy varies with deprivation. It takes account of health inequalities across the whole range of deprivation within each area and summarises this in a single number. This represents the range in years of life expectancy across the social gradient from most to least deprived, based on a statistical analysis of the relationship between life expectancy and deprivation across all deprivation deciles.

Life expectancy at birth is a measure of the average number of years a person would expect to live based on contemporary mortality rates. For a particular area and time period, it is an estimate of the average number of years a newborn baby would survive if he or she experienced the age-specific mortality rates for that area and time period throughout his or her life.

The SII for England and for regions have been presented alongside the local authority figures in order to improve the display of the indicators on the overview page. However, they should not be considered as comparators for the local authority figures. The SII for England takes account of the full range of deprivation and mortality across the whole country. This does not therefore provide a suitable benchmark with which to compare local authority results, which take into account the range of deprivation and mortality within much smaller geographies.

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Number of deaths and mortality rates, by age group, sex, and place of residence, 1991 to most recent year.