Fewer women 45-49, more men 25-29 per GDP

Comparing Population ages 45-49, female, per capita with Population ages 25-29, male, per unit of GDP across 211 countries, 2025–2025.

Rank correlation
-0.69
Holding size constant
-0.62
Countries compared
211
Period
2025–2025

What might link these

The negative correlation might be linked to differences in population demographics and economic structures across countries. A careful reader should consider that education levels or workforce participation rates could be a confounder. These factors might influence both the age distribution of the population and the GDP.

Why this is not proof of anything

This is a correlation across countries, not an experiment. It cannot show that either indicator causes the other, and both may simply follow a third thing. This correlation could mislead because it may reflect underlying demographic or economic trends rather than a direct relationship between the two indicators.

The second figure above repeats the measurement with national population and income held constant. It is the more conservative number: a relationship that largely disappears there was mostly telling you that larger, richer countries have more of most things.

How this was measured

Both indicators were ranked across every country reporting each, and the two rankings compared — ranks rather than raw values, because a handful of very large countries can otherwise manufacture a relationship on their own. The calculation is arithmetic over figures already published on this site; the commentary above is drafted from the two indicator names and the resulting coefficients.

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