Young females per GDP link to older females per capita
Comparing Population ages 50-54, female, per capita with Population ages 10-14, female, per unit of GDP across 211 countries, 2025–2025.
- Rank correlation
- -0.76
- Holding size constant
- -0.69
- Countries compared
- 211
- Period
- 2025–2025
What might link these
The relationship between these indicators might be influenced by factors such as healthcare quality, education, and economic opportunities that affect female populations across different age groups. A careful reader should consider the potential impact of urbanization, as it could influence both the proportion of young females in the workforce and the distribution of older females in the population. Life expectancy could also play a role.
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 by implying a direct relationship between the two age groups without accounting for other demographic and socioeconomic factors.
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.