Romania vs South Sudan: Age population, age 25, male, interpolated
Romania
102,589
in 2025
South Sudan
105,059
in 2025
Romania rank
82nd
South Sudan rank
80th
Age population, age 25, male, interpolated over time
- Romania
- South Sudan
How they compare
South Sudan currently reports 105,059 against 102,589 in Romania, a difference of 2,470.
The two have swapped places 1 time across 66 shared years of data; in 1960 it was Romania ahead.
Romania ranks 82nd and South Sudan ranks 80th of 217 countries.
Romania has averaged higher in every one of the 7 decades both report.
Head to head by decade
| Decade | Romania | South Sudan | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 146,286 | 24,924 | 121,363 | Romania |
| 1970s | 155,258 | 27,678 | 127,580 | Romania |
| 1980s | 147,002 | 35,644 | 111,358 | Romania |
| 1990s | 179,813 | 40,885 | 138,927 | Romania |
| 2000s | 165,712 | 64,004 | 101,708 | Romania |
| 2010s | 133,101 | 75,707 | 57,394 | Romania |
| 2020s | 102,426 | 82,365 | 20,061 | Romania |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher age population, age 25, male, interpolated, Romania or South Sudan?
- South Sudan, at 105,059 against 102,589 in Romania as of 2025.
- What is the difference in age population, age 25, male, interpolated between Romania and South Sudan?
- 2,470, with South Sudan ahead.
- How many years of comparable data are there for Romania and South Sudan?
- 66 years are reported by both, from 1960 to 2025.
- How do Romania and South Sudan rank globally for age population, age 25, male, interpolated?
- Romania ranks 82nd and South Sudan ranks 80th of 217 countries.
- Where does this data come from?
- United Nations Population Division. World Population Prospects: 2022 Revision, published as Age population, age 25, 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.