Serbia vs South Sudan: Share of population living in rural areas
Serbia
35.2%
in 2020
South Sudan
34.8%
in 2020
Serbia rank
75th
South Sudan rank
77th
Share of population living in rural areas over time
- Serbia
- South Sudan
How they compare
Serbia currently reports 35.2% against 34.8% in South Sudan, a difference of 0.4%.
The two have swapped places 1 time across 15 shared years of data; in 1950 it was South Sudan ahead.
Serbia ranks 75th and South Sudan ranks 77th of 236 countries.
Across the 8 decades both report, Serbia averaged higher in 1 and South Sudan in 7.
Head to head by decade
| Decade | Serbia | South Sudan | Difference | Ahead |
|---|---|---|---|---|
| 1950s | 44.5% | 85.4% | 40.9% | South Sudan |
| 1960s | 41.6% | 81.8% | 40.2% | South Sudan |
| 1970s | 39.4% | 77.5% | 38.1% | South Sudan |
| 1980s | 37.8% | 71.6% | 33.8% | South Sudan |
| 1990s | 37.1% | 65.8% | 28.7% | South Sudan |
| 2000s | 36.4% | 57.3% | 20.9% | South Sudan |
| 2010s | 35.7% | 43.4% | 7.8% | South Sudan |
| 2020s | 35.2% | 34.8% | 0.3% | Serbia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher share of population living in rural areas, Serbia or South Sudan?
- Serbia, at 35.2% against 34.8% in South Sudan as of 2020.
- What is the difference in share of population living in rural areas between Serbia and South Sudan?
- 0.4%, with Serbia ahead.
- How many years of comparable data are there for Serbia and South Sudan?
- 15 years are reported by both, from 1950 to 2020.
- How do Serbia and South Sudan rank globally for share of population living in rural areas?
- Serbia ranks 75th and South Sudan ranks 77th of 236 countries.
- Where does this data come from?
- European Commission, Joint Research Centre (JRC) (2025) – with major processing by Our World in Data, published as Share of population living in rural areas. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Estimated share of the population living in rural areas. Rural areas are identified using satellite imagery and population data, applying the same definitions across countries.