Costa Rica vs Guyana: Share of population living in rural areas
Costa Rica
26.3%
in 2020
Guyana
26.4%
in 2020
Costa Rica rank
117th
Guyana rank
116th
Share of population living in rural areas over time
- Costa Rica
- Guyana
How they compare
Guyana currently reports 26.4% against 26.3% in Costa Rica, a difference of 0.1%.
The two have swapped places 1 time across 15 shared years of data; in 1950 it was Costa Rica ahead.
Costa Rica ranks 117th and Guyana ranks 116th of 236 countries.
Across the 8 decades both report, Costa Rica averaged higher in 6 and Guyana in 2.
Head to head by decade
| Decade | Costa Rica | Guyana | Difference | Ahead |
|---|---|---|---|---|
| 1950s | 56.9% | 35.0% | 21.9% | Costa Rica |
| 1960s | 48.7% | 29.2% | 19.5% | Costa Rica |
| 1970s | 41.6% | 25.8% | 15.8% | Costa Rica |
| 1980s | 36.8% | 24.8% | 11.9% | Costa Rica |
| 1990s | 31.6% | 24.9% | 6.7% | Costa Rica |
| 2000s | 27.7% | 26.4% | 1.3% | Costa Rica |
| 2010s | 26.7% | 27.0% | 0.3% | Guyana |
| 2020s | 26.3% | 26.4% | 0.0% | Guyana |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher share of population living in rural areas, Costa Rica or Guyana?
- Guyana, at 26.4% against 26.3% in Costa Rica as of 2020.
- What is the difference in share of population living in rural areas between Costa Rica and Guyana?
- 0.1%, with Guyana ahead.
- How many years of comparable data are there for Costa Rica and Guyana?
- 15 years are reported by both, from 1950 to 2020.
- How do Costa Rica and Guyana rank globally for share of population living in rural areas?
- Costa Rica ranks 117th and Guyana ranks 116th 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.