GDP, longevity and population

How to read this diagram

Use one shared year for all three measures, choosing the newest year with at least half the maximum annual count of complete comparable inputs (106 minimum). Select the 25 largest populations among economies with positive GDP per person, positive population and reported life expectancy. Horizontal GDP per person uses a logarithmic scale: equal distances represent equal ratios. The vertical scale is linear from 40 to 100 Years; it does not start at zero. Circle area, not radius, is proportional to population. Numbers match the country key. Crowded number labels use leader lines; circle positions are unchanged.

186 of 217 retained reporting economies have values in 2025; coverage is not a complete world ranking. Highest does not imply best.

GDP per capita measures average economic output, not wages, disposable income, or household wealth.

Constant 2015 US dollars are not purchasing-power-parity dollars. Cross-country levels do not measure the cost of living or what residents can buy.

National accounts methods and revisions may differ across countries.

Source notes and numeric strings remain unchanged in downloads. The latest retained reporting year can differ across datasets.

217 of 217 retained reporting economies have values in 2024; coverage is not a complete world ranking. Highest does not imply best.

This summarizes mortality conditions in a year; it does not predict how long a particular baby will live.

It is a period life-table measure, rather than a measure of a completed birth cohort.

Some underlying demographic estimates are interpolated and may not capture each annual event precisely.

Missing years remain missing; the site does not extrapolate future life expectancy.

Midyear estimates can be revised; these are populations, not growth rates.

Source flags and notes remain in the table and downloads. Display labels are rounded; exports retain source numeric strings.

GDP per person is in constant 2015 US dollars, not purchasing-power-adjusted income. This cross-sectional association is not evidence of causation. Each measure keeps its own definition, unit and source below. Economies with incomplete inputs are retained in the data but not drawn.