Nicaragua vs Serbia: Share of population living in rural areas
Nicaragua
35.6%
in 2020
Serbia
35.2%
in 2020
Nicaragua rank
72nd
Serbia rank
75th
Share of population living in rural areas over time
- Nicaragua
- Serbia
How they compare
Nicaragua currently reports 35.6% against 35.2% in Serbia, a difference of 0.4%.
The two have swapped places 2 times across 15 shared years of data; in 1950 it was Nicaragua ahead.
Nicaragua ranks 72nd and Serbia ranks 75th of 236 countries.
Across the 8 decades both report, Nicaragua averaged higher in 4 and Serbia in 4.
Head to head by decade
| Decade | Nicaragua | Serbia | Difference | Ahead |
|---|---|---|---|---|
| 1950s | 51.6% | 44.5% | 7.1% | Nicaragua |
| 1960s | 45.8% | 41.6% | 4.2% | Nicaragua |
| 1970s | 39.8% | 39.4% | 0.4% | Nicaragua |
| 1980s | 37.3% | 37.8% | 0.4% | Serbia |
| 1990s | 35.4% | 37.1% | 1.7% | Serbia |
| 2000s | 34.0% | 36.4% | 2.4% | Serbia |
| 2010s | 34.5% | 35.7% | 1.2% | Serbia |
| 2020s | 35.6% | 35.2% | 0.4% | Nicaragua |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher share of population living in rural areas, Nicaragua or Serbia?
- Nicaragua, at 35.6% against 35.2% in Serbia as of 2020.
- What is the difference in share of population living in rural areas between Nicaragua and Serbia?
- 0.4%, with Nicaragua ahead.
- How many years of comparable data are there for Nicaragua and Serbia?
- 15 years are reported by both, from 1950 to 2020.
- How do Nicaragua and Serbia rank globally for share of population living in rural areas?
- Nicaragua ranks 72nd and Serbia ranks 75th 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.