Cameroon vs Guadeloupe: Share of population living in rural areas
Cameroon
25.8%
in 2020
Guadeloupe
25.0%
in 2020
Cameroon rank
121st
Guadeloupe rank
124th
Share of population living in rural areas over time
- Cameroon
- Guadeloupe
How they compare
Cameroon currently reports 25.8% against 25.0% in Guadeloupe, a difference of 0.8%.
Across all 15 years both countries report, Cameroon has been ahead every year.
Cameroon ranks 121st and Guadeloupe ranks 124th of 236 countries.
Cameroon has averaged higher in every one of the 8 decades both report.
Head to head by decade
| Decade | Cameroon | Guadeloupe | Difference | Ahead |
|---|---|---|---|---|
| 1950s | 40.7% | 36.5% | 4.2% | Cameroon |
| 1960s | 38.6% | 32.7% | 5.9% | Cameroon |
| 1970s | 35.1% | 31.5% | 3.6% | Cameroon |
| 1980s | 33.3% | 30.7% | 2.6% | Cameroon |
| 1990s | 31.3% | 26.5% | 4.8% | Cameroon |
| 2000s | 28.2% | 25.9% | 2.3% | Cameroon |
| 2010s | 26.4% | 25.1% | 1.3% | Cameroon |
| 2020s | 25.8% | 25.0% | 0.8% | Cameroon |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher share of population living in rural areas, Cameroon or Guadeloupe?
- Cameroon, at 25.8% against 25.0% in Guadeloupe as of 2020.
- What is the difference in share of population living in rural areas between Cameroon and Guadeloupe?
- 0.8%, with Cameroon ahead.
- How many years of comparable data are there for Cameroon and Guadeloupe?
- 15 years are reported by both, from 1950 to 2020.
- How do Cameroon and Guadeloupe rank globally for share of population living in rural areas?
- Cameroon ranks 121st and Guadeloupe ranks 124th 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.