Congo vs Mauritius: Share of population living in rural areas
Congo
8.3%
in 2020
Mauritius
9.1%
in 2020
Congo rank
213th
Mauritius rank
209th
Share of population living in rural areas over time
- Congo
- Mauritius
How they compare
Mauritius currently reports 9.1% against 8.3% in Congo, a difference of 0.8%.
That makes Mauritius's figure about 1.1 times Congo's.
The two have swapped places 1 time across 15 shared years of data; in 1950 it was Congo ahead.
Congo ranks 213th and Mauritius ranks 209th of 236 countries.
Across the 8 decades both report, Congo averaged higher in 7 and Mauritius in 1.
Head to head by decade
| Decade | Congo | Mauritius | Difference | Ahead |
|---|---|---|---|---|
| 1950s | 27.0% | 19.9% | 7.0% | Congo |
| 1960s | 22.7% | 16.2% | 6.5% | Congo |
| 1970s | 18.2% | 13.8% | 4.3% | Congo |
| 1980s | 14.9% | 12.5% | 2.3% | Congo |
| 1990s | 14.8% | 10.7% | 4.1% | Congo |
| 2000s | 14.3% | 9.1% | 5.2% | Congo |
| 2010s | 11.5% | 8.5% | 3.0% | Congo |
| 2020s | 8.3% | 9.1% | 0.9% | Mauritius |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher share of population living in rural areas, Congo or Mauritius?
- Mauritius, at 9.1% against 8.3% in Congo as of 2020.
- What is the difference in share of population living in rural areas between Congo and Mauritius?
- 0.8%, with Mauritius ahead.
- How many years of comparable data are there for Congo and Mauritius?
- 15 years are reported by both, from 1950 to 2020.
- How do Congo and Mauritius rank globally for share of population living in rural areas?
- Congo ranks 213th and Mauritius ranks 209th 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.