Young female population inversely relates to services value in developing nations.
Comparing Services, value added (current US$) with Age population, age 14, female, interpolated across 203 countries, 2025–2025.
- Rank correlation
- +0.63
- Holding size constant
- -0.65
- Countries compared
- 203
- Period
- 2025–2025
What might link these
A higher proportion of young females might indicate a country with a large dependent population or lower female participation in the formal workforce, thus potentially correlating with lower service sector output. However, this is a complex relationship and other factors, such as education levels and economic development stage, could be significant confounders.
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. The negative correlation might be driven by underlying developmental factors that affect both indicators, rather than a direct relationship.
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.