Young males relate to secondary income
Comparing Net secondary income (BoP, current US$) with Population ages 0-14, male, per unit of GDP across 185 countries, 2018–2025.
- Rank correlation
- +0.60
- Holding size constant
- +0.50
- Countries compared
- 185
- Period
- 2018–2025
What might link these
The correlation might be driven by countries with large youth populations having more remittances sent back home, or a strong economy supporting both. A careful reader should consider education levels as a potential confounder. This relationship could have various underlying factors.
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. Correlation does not imply causation, and other factors like government policies or cultural influences might be the true drivers of this 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.