Georgia vs Nicaragua: Share of population living in rural areas
Georgia
35.7%
in 2020
Nicaragua
35.6%
in 2020
Georgia rank
69th
Nicaragua rank
72nd
Share of population living in rural areas over time
- Georgia
- Nicaragua
How they compare
Georgia currently reports 35.7% against 35.6% in Nicaragua, a difference of 0.1%.
The two have swapped places 1 time across 15 shared years of data; in 1950 it was Nicaragua ahead.
Georgia ranks 69th and Nicaragua ranks 72nd of 236 countries.
Across the 8 decades both report, Georgia averaged higher in 3 and Nicaragua in 5.
Head to head by decade
| Decade | Georgia | Nicaragua | Difference | Ahead |
|---|---|---|---|---|
| 1950s | 43.4% | 51.6% | 8.3% | Nicaragua |
| 1960s | 39.2% | 45.8% | 6.7% | Nicaragua |
| 1970s | 35.3% | 39.8% | 4.5% | Nicaragua |
| 1980s | 33.9% | 37.3% | 3.5% | Nicaragua |
| 1990s | 34.4% | 35.4% | 1.0% | Nicaragua |
| 2000s | 35.7% | 34.0% | 1.6% | Georgia |
| 2010s | 35.1% | 34.5% | 0.7% | Georgia |
| 2020s | 35.7% | 35.6% | 0.1% | Georgia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher share of population living in rural areas, Georgia or Nicaragua?
- Georgia, at 35.7% against 35.6% in Nicaragua as of 2020.
- What is the difference in share of population living in rural areas between Georgia and Nicaragua?
- 0.1%, with Georgia ahead.
- How many years of comparable data are there for Georgia and Nicaragua?
- 15 years are reported by both, from 1950 to 2020.
- How do Georgia and Nicaragua rank globally for share of population living in rural areas?
- Georgia ranks 69th and Nicaragua ranks 72nd 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.