Cape Verde vs Jamaica: Share of population living in rural areas
Cape Verde
28.4%
in 2020
Jamaica
27.6%
in 2020
Cape Verde rank
103rd
Jamaica rank
104th
Share of population living in rural areas over time
- Cape Verde
- Jamaica
How they compare
Cape Verde currently reports 28.4% against 27.6% in Jamaica, a difference of 0.8%.
Across all 15 years both countries report, Cape Verde has been ahead every year.
Cape Verde ranks 103rd and Jamaica ranks 104th of 236 countries.
Cape Verde has averaged higher in every one of the 8 decades both report.
Head to head by decade
| Decade | Cape Verde | Jamaica | Difference | Ahead |
|---|---|---|---|---|
| 1950s | 42.1% | 33.7% | 8.4% | Cape Verde |
| 1960s | 39.0% | 30.5% | 8.5% | Cape Verde |
| 1970s | 33.6% | 28.1% | 5.6% | Cape Verde |
| 1980s | 33.9% | 26.4% | 7.5% | Cape Verde |
| 1990s | 31.3% | 25.5% | 5.8% | Cape Verde |
| 2000s | 28.3% | 24.4% | 3.9% | Cape Verde |
| 2010s | 26.1% | 25.2% | 0.9% | Cape Verde |
| 2020s | 28.4% | 27.6% | 0.8% | Cape Verde |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher share of population living in rural areas, Cape Verde or Jamaica?
- Cape Verde, at 28.4% against 27.6% in Jamaica as of 2020.
- What is the difference in share of population living in rural areas between Cape Verde and Jamaica?
- 0.8%, with Cape Verde ahead.
- How many years of comparable data are there for Cape Verde and Jamaica?
- 15 years are reported by both, from 1950 to 2020.
- How do Cape Verde and Jamaica rank globally for share of population living in rural areas?
- Cape Verde ranks 103rd and Jamaica ranks 104th 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.