Life expectancy at birth, female (years) in United States was reported at 81.1 years in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. United States - Life expectancy at birth, female (years) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

The USA: Life expectancy, in years, female: The latest value from 2022 is 80.2 years, an increase from 79.3 years in 2021. In comparison, the world average is 74.94 years, based on data from 192 countries. Historically, the average for the USA from 1960 to 2022 is 78.15 years. The minimum value, 73.1 years, was reached in 1960 while the maximum of 81.4 years was recorded in 2019.

Saudi Arabia: Life expectancy, in years, female: The latest value from 2022 is 79.53 years, an increase from 78.77 years in 2021. In comparison, the world average is 74.94 years, based on data from 192 countries. Historically, the average for Saudi Arabia from 1960 to 2022 is 67.8 years. The minimum value, 47.51 years, was reached in 1960 while the maximum of 79.53 years was recorded in 2022.

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

Mexico: Life expectancy, in years, female: The latest value from 2022 is 78.16 years, an increase from 74.86 years in 2021. In comparison, the world average is 74.94 years, based on data from 192 countries. Historically, the average for Mexico from 1960 to 2022 is 71.23 years. The minimum value, 56.97 years, was reached in 1960 while the maximum of 78.16 years was recorded in 2022.

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

Life expectancy at age 60, female or male is the average number of years that a female or male at age 60 would live if prevailing patterns of mortality at the time of age 60 were to stay the same throughout her or his life.

Dominica: Life expectancy, in years, female: The latest value from 2022 is 76.45 years, an increase from 76.3 years in 2021. In comparison, the world average is 74.94 years, based on data from 192 countries. Historically, the average for Dominica from 1960 to 2022 is 71.89 years. The minimum value, 59.46 years, was reached in 1963 while the maximum of 77.26 years was recorded in 2020.

Life expectancy at birth, female (years) in Mozambique was reported at 66.54 years in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Mozambique - Life expectancy at birth, female (years) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Colombia CO: Life Expectancy at Birth: Female data was reported at 80.452 Year in 2023. This records an increase from the previous number of 79.471 Year for 2022. Colombia CO: Life Expectancy at Birth: Female data is updated yearly, averaging 73.432 Year from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 80.452 Year in 2023 and a record low of 58.459 Year in 1960. Colombia CO: Life Expectancy at Birth: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Colombia – Table CO.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;

Life expectancy at birth, female (years) in India was reported at 73.6 years in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. India - Life expectancy at birth, female (years) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Ukraine UA: Life Expectancy at Birth: Female data was reported at 76.460 Year in 2016. This records an increase from the previous number of 76.250 Year for 2015. Ukraine UA: Life Expectancy at Birth: Female data is updated yearly, averaging 74.060 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 76.460 Year in 2016 and a record low of 71.091 Year in 1960. Ukraine UA: Life Expectancy at Birth: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Ukraine – Table UA.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;

Life expectancy at birth, female (years) in Morocco was reported at 77.6 years in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Morocco - Life expectancy at birth, female (years) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

Costa Rica CR: Life Expectancy at Birth: Female data was reported at 83.420 Year in 2023. This records an increase from the previous number of 82.197 Year for 2022. Costa Rica CR: Life Expectancy at Birth: Female data is updated yearly, averaging 78.656 Year from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 83.420 Year in 2023 and a record low of 64.787 Year in 1960. Costa Rica CR: Life Expectancy at Birth: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Costa Rica – Table CR.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;

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 ...).

Macau SAR Average Life Expectancy at Birth: Female data was reported at 86.600 Year in 2018. This records an increase from the previous number of 86.400 Year for 2017. Macau SAR Average Life Expectancy at Birth: Female data is updated yearly, averaging 84.700 Year from Dec 1996 (Median) to 2018, with 23 observations. The data reached an all-time high of 86.600 Year in 2018 and a record low of 78.500 Year in 1996. Macau SAR Average Life Expectancy at Birth: Female data remains active status in CEIC and is reported by Statistics and Census Service. The data is categorized under Global Database’s Macau SAR – Table MO.G005: Life Expectancy at Birth.

Life expectancy at birth, female (years) in Pakistan was reported at 70.16 years in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Pakistan - Life expectancy at birth, female (years) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Analysis of ‘LifeExpectancyData’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/just249/lifeexpectancydatacsv on 28 January 2022.

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

Life Expectancy Prediction Using Artificial Intelligence: Research Paper: https://docs.google.com/document/d/1Abwx7C97sMjsfow5Xk8GOCDblNaQr8T8WXh7SIJAbVo/edit?usp=sharing

Introduction: According to the survey from PwC (PricewaterhouseCoopers) report in 2016, data have shown that nearly half (47%) of 18-34 age group surveyed had changed their eating habits towards a healthier diet and further data has shown that 53% of the age 18-34 claimed that they have planned to change their eating habits to be healthier over the next year. According to research done by LiveScience, eating healthy and doing physical activity can in fact increase our life expectancy, also in one of the articles from BBC (British Broadcasting Corporation) “Do we really live longer than our ancestors? ” have stated that in 1841, a baby girl and boy was expected to live just about 40 years of age, but in 2016 a baby girl or boy was expected to live till 80 years of age. Controllable factors like eating healthy and doing exercise regularly can in fact increase our life expectancy. But can non-controllable factors like Country’s status, mortality rates, GDP, schooling, average income, government’s expenditure on health and the rate of child deaths possibly affect our life expectancy? To answer those concerns, we will input data from a Dataset called “Life Expectancy(WHO)” provided by Kumar Rajarshi in Kaggle and with the help of machine learning to process a considerable amount of data to train and analyze and make a prediction of life expectancy based on the value we feed to the algorithm.

Project Details: For this project, I have used the Dataset called “Life Expectancy(WHO)” provided by Kumar Rajarshi from Kaggle, to try to predict the total life expectancy by inputting non-controllable factors according to the data set like Country’s status, mortality rates, GDP, schooling, average income, government’s expenditure on health and the rate of child deaths to answer will non-controllable factor affect our life expectancy.

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

Trinidad and Tobago: Life expectancy, in years, female: The latest value from 2022 is 78.15 years, an increase from 76.4 years in 2021. In comparison, the world average is 74.94 years, based on data from 192 countries. Historically, the average for Trinidad and Tobago from 1960 to 2022 is 71.55 years. The minimum value, 64.68 years, was reached in 1961 while the maximum of 78.15 years was recorded in 2022.

🔗 Check out my notebook here: Link

This dataset includes malnutrition indicators and some of the features that might impact malnutrition. The detailed description of the dataset is given below:

• Percentage-of-underweight-children-data: Percentage of children aged 5 years or below who are underweight by country.

• Prevalence of Underweight among Female Adults (Age Standardized Estimate): Percentage of female adults whos BMI is less than 18.

• GDP per capita (constant 2015 US$): GDP per capita is gross domestic product divided by midyear population. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in constant 2015 U.S. dollars.

• Domestic general government health expenditure (% of GDP): Public expenditure on health from domestic sources as a share of the economy as measured by GDP.

• Maternal mortality ratio (modeled estimate, per 100,000 live births): Maternal mortality ratio is the number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100,000 live births. The data are estimated with a regression model using information on the proportion of maternal deaths among non-AIDS deaths in women ages 15-49, fertility, birth attendants, and GDP measured using purchasing power parities (PPPs).

• Mean-age-at-first-birth-of-women-aged-20-50-data: Average age at which women of age 20-50 years have their first child.

• School enrollment, secondary, female (% gross): Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Secondary education completes the provision of basic education that began at the primary level, and aims at laying the foundations for lifelong learning and human development, by offering more subject- or skill-oriented instruction using more specialized teachers.