Cyprus vs El Salvador: Share of population living in rural areas
Cyprus
24.3%
in 2020
El Salvador
23.9%
in 2020
Cyprus rank
131st
El Salvador rank
134th
Share of population living in rural areas over time
- Cyprus
- El Salvador
How they compare
Cyprus currently reports 24.3% against 23.9% in El Salvador, a difference of 0.4%.
The two have swapped places 1 time across 15 shared years of data; in 1950 it was El Salvador ahead.
Cyprus ranks 131st and El Salvador ranks 134th of 236 countries.
Across the 8 decades both report, Cyprus averaged higher in 6 and El Salvador in 2.
Head to head by decade
| Decade | Cyprus | El Salvador | Difference | Ahead |
|---|---|---|---|---|
| 1950s | 42.7% | 45.8% | 3.1% | El Salvador |
| 1960s | 39.2% | 39.6% | 0.5% | El Salvador |
| 1970s | 37.5% | 33.4% | 4.1% | Cyprus |
| 1980s | 35.0% | 29.1% | 5.9% | Cyprus |
| 1990s | 32.4% | 23.7% | 8.7% | Cyprus |
| 2000s | 29.2% | 23.0% | 6.2% | Cyprus |
| 2010s | 26.0% | 23.4% | 2.6% | Cyprus |
| 2020s | 24.3% | 23.9% | 0.4% | Cyprus |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher share of population living in rural areas, Cyprus or El Salvador?
- Cyprus, at 24.3% against 23.9% in El Salvador as of 2020.
- What is the difference in share of population living in rural areas between Cyprus and El Salvador?
- 0.4%, with Cyprus ahead.
- How many years of comparable data are there for Cyprus and El Salvador?
- 15 years are reported by both, from 1950 to 2020.
- How do Cyprus and El Salvador rank globally for share of population living in rural areas?
- Cyprus ranks 131st and El Salvador ranks 134th 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.