Rwanda vs South Sudan: Age population, age 12, male, interpolated
Rwanda
167,096
in 2025
South Sudan
169,487
in 2025
Rwanda rank
74th
South Sudan rank
72nd
Age population, age 12, male, interpolated over time
- Rwanda
- South Sudan
How they compare
South Sudan currently reports 169,487 against 167,096 in Rwanda, a difference of 2,391.
The two have swapped places 1 time across 66 shared years of data; in 1960 it was Rwanda ahead.
Rwanda ranks 74th and South Sudan ranks 72nd of 217 countries.
Across the 7 decades both report, Rwanda averaged higher in 6 and South Sudan in 1.
Head to head by decade
| Decade | Rwanda | South Sudan | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 46,334 | 35,751 | 10,584 | Rwanda |
| 1970s | 59,891 | 44,897 | 14,994 | Rwanda |
| 1980s | 76,212 | 58,934 | 17,278 | Rwanda |
| 1990s | 110,580 | 62,579 | 48,001 | Rwanda |
| 2000s | 113,000 | 87,000 | 26,000 | Rwanda |
| 2010s | 142,278 | 132,900 | 9,379 | Rwanda |
| 2020s | 161,825 | 163,596 | 1,771 | South Sudan |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher age population, age 12, male, interpolated, Rwanda or South Sudan?
- South Sudan, at 169,487 against 167,096 in Rwanda as of 2025.
- What is the difference in age population, age 12, male, interpolated between Rwanda and South Sudan?
- 2,391, 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 12, male, interpolated?
- Rwanda ranks 74th and South Sudan ranks 72nd of 217 countries.
- Where does this data come from?
- United Nations Population Division. World Population Prospects: 2022 Revision, published as Age population, age 12, male, interpolated. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Age population, male refers to male population at the specified age level. The geographical areas included in the data are the same as the data source.