South Sudan vs Tonga: Do more people live in urban or rural areas?
South Sudan
21.7%
in 2025
Tonga
21.2%
in 2025
South Sudan rank
228th
Tonga rank
229th
Do more people live in urban or rural areas? over time
- South Sudan
- Tonga
How they compare
South Sudan currently reports 21.7% against 21.2% in Tonga, a difference of 0.5%.
The two have swapped places 1 time across 76 shared years of data; in 1950 it was Tonga ahead.
South Sudan ranks 228th and Tonga ranks 229th of 238 countries.
Tonga has averaged higher in every one of the 8 decades both report.
Head to head by decade
| Decade | South Sudan | Tonga | Difference | Ahead |
|---|---|---|---|---|
| 1950s | 8.2% | 15.6% | 7.4% | Tonga |
| 1960s | 8.6% | 19.6% | 11.0% | Tonga |
| 1970s | 8.5% | 20.3% | 11.8% | Tonga |
| 1980s | 9.5% | 21.3% | 11.8% | Tonga |
| 1990s | 14.5% | 22.7% | 8.2% | Tonga |
| 2000s | 16.7% | 23.2% | 6.4% | Tonga |
| 2010s | 18.7% | 23.1% | 4.5% | Tonga |
| 2020s | 20.9% | 21.3% | 0.4% | Tonga |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher do more people live in urban or rural areas?, South Sudan or Tonga?
- South Sudan, at 21.7% against 21.2% in Tonga as of 2025.
- What is the difference in do more people live in urban or rural areas? between South Sudan and Tonga?
- 0.5%, with South Sudan ahead.
- How many years of comparable data are there for South Sudan and Tonga?
- 76 years are reported by both, from 1950 to 2025.
- How do South Sudan and Tonga rank globally for do more people live in urban or rural areas??
- South Sudan ranks 228th and Tonga ranks 229th of 238 countries.
- Where does this data come from?
- HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025) – with minor processing by Our World in Data, published as Do more people live in urban or rural areas?. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Share of the population living in urban areas, combining UN estimates with modeled historical data.