Angola vs Gambia: Share of population living in urban and rural areas
Angola
75.2%
in 2020
Gambia
74.9%
in 2020
Angola rank
112th
Gambia rank
114th
Share of population living in urban and rural areas over time
- Angola
- Gambia
How they compare
Angola currently reports 75.2% against 74.9% in Gambia, a difference of 0.3%.
Across all 15 years both countries report, Angola has been ahead every year.
Angola ranks 112th and Gambia ranks 114th of 236 countries.
Angola has averaged higher in every one of the 8 decades both report.
Head to head by decade
| Decade | Angola | Gambia | Difference | Ahead |
|---|---|---|---|---|
| 1950s | 59.0% | 32.2% | 26.8% | Angola |
| 1960s | 59.7% | 36.7% | 23.0% | Angola |
| 1970s | 61.1% | 42.3% | 18.9% | Angola |
| 1980s | 64.7% | 48.1% | 16.6% | Angola |
| 1990s | 67.2% | 56.9% | 10.2% | Angola |
| 2000s | 68.4% | 63.6% | 4.8% | Angola |
| 2010s | 72.6% | 70.4% | 2.2% | Angola |
| 2020s | 75.2% | 74.9% | 0.4% | Angola |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher share of population living in urban and rural areas, Angola or Gambia?
- Angola, at 75.2% against 74.9% in Gambia as of 2020.
- What is the difference in share of population living in urban and rural areas between Angola and Gambia?
- 0.3%, with Angola ahead.
- How many years of comparable data are there for Angola and Gambia?
- 15 years are reported by both, from 1950 to 2020.
- How do Angola and Gambia rank globally for share of population living in urban and rural areas?
- Angola ranks 112th and Gambia ranks 114th 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 urban and 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 urban areas (the sum of cities and towns and suburbs). Urban areas are identified using satellite imagery and population data, applying the same definitions across countries.