Rwanda vs South Sudan: Age population, age 13, female, interpolated
Rwanda
162,770
in 2025
South Sudan
168,846
in 2025
Rwanda rank
72nd
South Sudan rank
70th
Age population, age 13, female, interpolated over time
- Rwanda
- South Sudan
How they compare
South Sudan currently reports 168,846 against 162,770 in Rwanda, a difference of 6,076.
The two have swapped places 2 times across 66 shared years of data; in 1960 it was South Sudan ahead.
Rwanda ranks 72nd and South Sudan ranks 70th 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 | 44,156 | 35,273 | 8,883 | Rwanda |
| 1970s | 58,941 | 43,452 | 15,488 | Rwanda |
| 1980s | 73,552 | 55,998 | 17,554 | Rwanda |
| 1990s | 107,232 | 62,484 | 44,749 | Rwanda |
| 2000s | 117,086 | 81,578 | 35,509 | Rwanda |
| 2010s | 140,510 | 124,849 | 15,661 | Rwanda |
| 2020s | 160,524 | 157,739 | 2,785 | Rwanda |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher age population, age 13, female, interpolated, Rwanda or South Sudan?
- South Sudan, at 168,846 against 162,770 in Rwanda as of 2025.
- What is the difference in age population, age 13, female, interpolated between Rwanda and South Sudan?
- 6,076, 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 13, female, interpolated?
- Rwanda ranks 72nd and South Sudan 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 13, 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.