Graph and download economic data for Life Expectancy at Birth, Total for Lower Middle Income Countries (SPDYNLE00INLMC) from 1960 to 2023 about life expectancy, life, birth, and income.

This dataset contains replication files for "The Association Between Income and Life Expectancy in the United States, 2001-2014" by Augustin Bergeron, Raj Chetty, David Cutler, Benjamin Scuderi, Michael Stepner, and Nicholas Turner. For more information, see https://opportunityinsights.org/paper/lifeexpectancy/. A summary of the related publication follows. How can we reduce socioeconomic disparities in health outcomes? Although it is well known that there are significant differences in health and longevity between income groups, debate remains about the magnitudes and determinants of these differences. We use new data from 1.4 billion anonymous earnings and mortality records to construct more precise estimates of the relationship between income and life expectancy at the national level than was feasible in prior work. We then construct new local area (county and metro area) estimates of life expectancy by income group and identify factors that are associated with higher levels of life expectancy for low-income individuals. Our findings show that disparities in life expectancy are not inevitable. There are cities throughout America — from New York to San Francisco to Birmingham, AL — where gaps in life expectancy are relatively small or are narrowing over time. Replicating these successes more broadly will require targeted local efforts, focusing on improving health behaviors among the poor in cities such as Las Vegas and Detroit. Our findings also imply that federal programs such as Social Security and Medicare are less redistributive than they might appear because low-income individuals obtain these benefits for significantly fewer years than high-income individuals, especially in cities like Detroit. Going forward, the challenge is to understand the mechanisms that lead to better health and longevity for low-income individuals in some parts of the U.S. To facilitate future research and monitor local progress, we have posted annual statistics on life expectancy by income group and geographic area (state, CZ, and county) at The Health Inequality Project website. Using these data, researchers will be able to study why certain places have high or improving levels of life expectancy and ultimately apply these lessons to reduce health disparities in other parts of the country.

This statistic depicts the average life expectancy at birth worldwide in 1990 and 2013, by income group. In 1990, a child born in a high income household had an average life expectancy of 75 years, while a child born in a low income household was expected to live 53 years.

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.

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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.

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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.

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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

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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.

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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/

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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

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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.

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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.

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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

This table contains 1408 series, with data for years 2001 - 2001 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (11 items: Canada; Newfoundland and Labrador; Nova Scotia; Prince Edward Island ...), Age group (2 items: At birth; At age 65 ...), Sex (2 items: Males; Females ...), Income group (4 items: All income groups; Income group; tercile 1 (lowest);Income group; tercile 3 (highest);Income group; tercile 2 (middle) ...), Characteristics (8 items: Health-adjusted life expectancy; Low 95% confidence interval; health-adjusted life expectancy; Coefficient of variation for health-adjusted life expectancy; High 95% confidence interval; health-adjusted life expectancy ...).

This statistic depicts the average life expectancy at the age of 60 worldwide in 1990 and 2013, by income group. In 2013, a person aged 60 from a high income household had a life expectancy of 23 more years, while a person of the same age from a low income household was expected to live 17 more years.

This table contains figures on life expectancy and healthy life expectancy broken down by gender, age, and income or prosperity. Healthy life expectancy is the number of years people of a certain age can still expect to live in good health, assuming that the chances of mortality and unhealth remain the same in the future.

The table presents four variants of healthy life expectancy: — life expectancy in well-experienced health — life expectancy without physical limitations according to the OECD definition — life expectancy without restrictions according to the Global Acitivity Limitations Indicator life expectancy without psychological complaints

The figures refer to a four-year period (e.g. 2017/2020). The reason for this is that the CBS Health Survey is used for the health characteristics. This survey is too small in size to be able to determine the figures on an annual basis.

Data available from: 2017/2020

Status of the figures: The figures in this table are final.

Amendments as of 1 February 2023: There has been a change in naming. Where previously talked about life expectancy in good mental health is now talking about life expectancy without psychological complaints. The underlying operationalisation of mental health/psychic complaints has remained unchanged. In addition, a link to the customised table with the conditional mortality rates used has been added in the table explanatory note.

Amendments as of 21 December 2022: New table with figures for 2017/2020.

When will there be new figures? The figures for the period 2019/2022 will appear in the first quarter of 2024. The series will therefore be complemented by earlier periods.

National by-year life expectancy estimates for men and women, by income percentile

Life Expectancy Income and per capita income in USD of Nepal by districts.

The average for 2023 based on 28 countries was 64.56 years. The highest value was in North Korea: 73.64 years and the lowest value was in Chad: 55.07 years. The indicator is available from 1960 to 2023. Below is a chart for all countries where data are available.

This fileset contains the appendix and replication data for the paper entitled "The intimate link between income levels and life expectancy: Global evidence from 213 years" published in Social Science Quarterly by Michael Jetter, Sabine Laudage and David StadelmannAbstract: Objectives - What is the main driver of life expectancy across societies and over time? This study aims to document a systematic and quantitatively sizeable relationship between income levels and life expectancy. Method - Using different regression methods and robustness tests, a panel dataset of 197 countries over 213 years is analyzed. Results - By itself, GDP per capita explains more than 64 percent of the variation in life expectancy. The Preston curve prevails, even when accounting for country- and time-fixed effects, country-specific time trends, and alternative explanatory variables, such as health care expenditure, malaria prevalence, or political institutions. If anything, this link has become stronger over recent decades when data quality has improved. Results from instrumental variable estimations suggest this finding to be largely unaffected by reverse causality. Quantile regression results suggest the relationship between income and life expectancy to be persistent across different levels of life expectancy. Conclusions - Income matters for life expectancy. If policymakers want to prolong people's lives, economic growth appears to be the predominant medicine.

United States - Life Expectancy at Birth, Total for Low Income Countries was 65.00667 Number of Years in January of 2023, according to the United States Federal Reserve. Historically, United States - Life Expectancy at Birth, Total for Low Income Countries reached a record high of 65.00667 in January of 2023 and a record low of 33.88184 in January of 1950. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Life Expectancy at Birth, Total for Low Income Countries - last updated from the United States Federal Reserve on October of 2025.

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 ...).

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

Health adjusted life expectancy and life expectancy rates, at birth and at age 65, by sex, three-year average, by income quintiles.

United States - Life Expectancy at Birth, Total for High Income Countries was 80.15000 Number of Years in January of 2023, according to the United States Federal Reserve. Historically, United States - Life Expectancy at Birth, Total for High Income Countries reached a record high of 80.88737 in January of 2019 and a record low of 68.55283 in January of 1960. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Life Expectancy at Birth, Total for High Income Countries - last updated from the United States Federal Reserve on October of 2025.

These tables contain life expectancy estimates by income and sex at the US state level.

Life Expectancy at Birth, Total: All Income Levels for Latin America and Caribbean was 75.64353 Number of Years in January of 2023, according to the United States Federal Reserve. Historically, Life Expectancy at Birth, Total: All Income Levels for Latin America and Caribbean reached a record high of 75.64353 in January of 2023 and a record low of 50.73382 in January of 1950. Trading Economics provides the current actual value, an historical data chart and related indicators for Life Expectancy at Birth, Total: All Income Levels for Latin America and Caribbean - last updated from the United States Federal Reserve on September of 2025.

Additional file 2 : Supplementary Table 9. Quality-adjusted life expectancy (QALE) by income and gender among 245 districts in Korea, 2008-2014. Supplementary Table 10. Life expectancy (LE) by income and gender among 245 districts in Korea, 2008-2014. Supplementary Table 11. Distribution of population size and the number of death by income and gender among 245 districts in Korea, 2008-2014. Supplementary Table 12. Mean and 95% CI of EQ-5D scores by income and gender in Korea, 2008-2014. Supplementary Table 13. Distribution of EQ-5D scores by income and gender among 245 districts in Korea, 2008-2014.

State-level by-year life expectancy estimates for men and women, by income quartile