Rwanda vs Sri Lanka: Age population, age 10, female, interpolated
Rwanda
173,839
in 2025
Sri Lanka
169,476
in 2025
Rwanda rank
69th
Sri Lanka rank
70th
Age population, age 10, female, interpolated over time
- Rwanda
- Sri Lanka
How they compare
Rwanda currently reports 173,839 against 169,476 in Sri Lanka, a difference of 4,363.
The two have swapped places 1 time across 66 shared years of data; in 1960 it was Sri Lanka ahead.
Rwanda ranks 69th and Sri Lanka ranks 70th of 217 countries.
Sri Lanka has averaged higher in every one of the 7 decades both report.
Head to head by decade
| Decade | Rwanda | Sri Lanka | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 51,141 | 131,680 | 80,538 | Sri Lanka |
| 1970s | 62,529 | 163,821 | 101,292 | Sri Lanka |
| 1980s | 83,860 | 176,210 | 92,350 | Sri Lanka |
| 1990s | 118,146 | 175,866 | 57,720 | Sri Lanka |
| 2000s | 119,068 | 169,265 | 50,197 | Sri Lanka |
| 2010s | 151,880 | 176,228 | 24,348 | Sri Lanka |
| 2020s | 165,787 | 174,373 | 8,586 | Sri Lanka |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher age population, age 10, female, interpolated, Rwanda or Sri Lanka?
- Rwanda, at 173,839 against 169,476 in Sri Lanka as of 2025.
- What is the difference in age population, age 10, female, interpolated between Rwanda and Sri Lanka?
- 4,363, with Rwanda ahead.
- How many years of comparable data are there for Rwanda and Sri Lanka?
- 66 years are reported by both, from 1960 to 2025.
- How do Rwanda and Sri Lanka rank globally for age population, age 10, female, interpolated?
- Rwanda ranks 69th and Sri Lanka ranks 70th of 217 countries.
- Where does this data come from?
- United Nations Population Division. World Population Prospects: 2022 Revision, published as Age population, age 10, female, interpolated. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Age population, female refers to female population at the specified age level. The geographical areas included in the data are the same as the data source.