Maldives vs Sierra Leone: Share of population living in rural areas
Maldives
43.5%
in 2020
Sierra Leone
42.3%
in 2020
Maldives rank
46th
Sierra Leone rank
48th
Share of population living in rural areas over time
- Maldives
- Sierra Leone
How they compare
Maldives currently reports 43.5% against 42.3% in Sierra Leone, a difference of 1.2%.
Across all 15 years both countries report, Maldives has been ahead every year.
Maldives ranks 46th and Sierra Leone ranks 48th of 236 countries.
Maldives has averaged higher in every one of the 8 decades both report.
Head to head by decade
| Decade | Maldives | Sierra Leone | Difference | Ahead |
|---|---|---|---|---|
| 1950s | 86.6% | 51.4% | 35.2% | Maldives |
| 1960s | 84.1% | 50.6% | 33.4% | Maldives |
| 1970s | 79.8% | 48.5% | 31.4% | Maldives |
| 1980s | 68.7% | 52.5% | 16.2% | Maldives |
| 1990s | 59.2% | 53.8% | 5.5% | Maldives |
| 2000s | 56.4% | 50.6% | 5.7% | Maldives |
| 2010s | 50.7% | 46.3% | 4.4% | Maldives |
| 2020s | 43.5% | 42.3% | 1.2% | Maldives |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher share of population living in rural areas, Maldives or Sierra Leone?
- Maldives, at 43.5% against 42.3% in Sierra Leone as of 2020.
- What is the difference in share of population living in rural areas between Maldives and Sierra Leone?
- 1.2%, with Maldives ahead.
- How many years of comparable data are there for Maldives and Sierra Leone?
- 15 years are reported by both, from 1950 to 2020.
- How do Maldives and Sierra Leone rank globally for share of population living in rural areas?
- Maldives ranks 46th and Sierra Leone ranks 48th 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.