Rwanda vs South Sudan: Age population, age 15, female, interpolated
Rwanda
158,640
in 2025
South Sudan
162,700
in 2025
Rwanda rank
73rd
South Sudan rank
71st
Age population, age 15, female, interpolated over time
- Rwanda
- South Sudan
How they compare
South Sudan currently reports 162,700 against 158,640 in Rwanda, a difference of 4,060.
The two have swapped places 2 times across 66 shared years of data; in 1960 it was South Sudan ahead.
Rwanda ranks 73rd and South Sudan ranks 71st of 217 countries.
Rwanda has averaged higher in every one of the 7 decades both report.
Head to head by decade
| Decade | Rwanda | South Sudan | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 39,188 | 33,741 | 5,448 | Rwanda |
| 1970s | 56,547 | 41,156 | 15,391 | Rwanda |
| 1980s | 68,216 | 51,780 | 16,436 | Rwanda |
| 1990s | 97,839 | 59,972 | 37,867 | Rwanda |
| 2000s | 116,148 | 74,840 | 41,308 | Rwanda |
| 2010s | 131,624 | 114,744 | 16,880 | Rwanda |
| 2020s | 159,850 | 149,796 | 10,053 | Rwanda |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher age population, age 15, female, interpolated, Rwanda or South Sudan?
- South Sudan, at 162,700 against 158,640 in Rwanda as of 2025.
- What is the difference in age population, age 15, female, interpolated between Rwanda and South Sudan?
- 4,060, with South Sudan ahead.
- How many years of comparable data are there for Rwanda and South Sudan?
- 66 years are reported by both, from 1960 to 2025.
- How do Rwanda and South Sudan rank globally for age population, age 15, female, interpolated?
- Rwanda ranks 73rd and South Sudan ranks 71st of 217 countries.
- Where does this data come from?
- United Nations Population Division. World Population Prospects: 2022 Revision, published as Age population, age 15, 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.