GDP per capita linked to elderly population ratio

Comparing GDP per capita with Population ages 65 and above, total, per unit of GDP across 209 countries, 2011–2025.

Rank correlation
-0.90
Holding size constant
-0.85
Countries compared
209
Period
2011–2025

What might link these

The strong negative correlation might suggest that countries with higher GDP per capita tend to have a lower proportion of elderly population per unit of GDP, possibly due to factors like better healthcare or differences in population growth rates. A careful reader should consider that life expectancy, a likely confounder, could influence both indicators. The relationship may not be straightforward, and further analysis is needed to understand the underlying mechanisms.

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 causal relationship between GDP per capita and elderly population ratio, when in fact other factors like healthcare systems or social policies might be driving the observed association.

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.

Share, cite or embed this page

Cite this page

. Statizoid. Retrieved 07 October 2026, from

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under the original publisher’s licence; please keep the attribution.

<a href=""></a> — Statizoid