Martinique vs Tuvalu: Share of population living in rural areas
Martinique
28.6%
in 2020
Tuvalu
27.6%
in 2020
Martinique rank
102nd
Tuvalu rank
105th
Share of population living in rural areas over time
- Martinique
- Tuvalu
How they compare
Martinique currently reports 28.6% against 27.6% in Tuvalu, a difference of 1.0%.
The two have swapped places 1 time across 15 shared years of data; in 1950 it was Tuvalu ahead.
Martinique ranks 102nd and Tuvalu ranks 105th of 236 countries.
Across the 8 decades both report, Martinique averaged higher in 1 and Tuvalu in 7.
Head to head by decade
| Decade | Martinique | Tuvalu | Difference | Ahead |
|---|---|---|---|---|
| 1950s | 34.7% | 100.0% | 65.3% | Tuvalu |
| 1960s | 29.7% | 100.0% | 70.3% | Tuvalu |
| 1970s | 27.9% | 100.0% | 72.1% | Tuvalu |
| 1980s | 30.2% | 100.0% | 69.8% | Tuvalu |
| 1990s | 30.2% | 100.0% | 69.8% | Tuvalu |
| 2000s | 24.0% | 100.0% | 76.0% | Tuvalu |
| 2010s | 24.5% | 43.1% | 18.6% | Tuvalu |
| 2020s | 28.6% | 27.6% | 1.0% | Martinique |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher share of population living in rural areas, Martinique or Tuvalu?
- Martinique, at 28.6% against 27.6% in Tuvalu as of 2020.
- What is the difference in share of population living in rural areas between Martinique and Tuvalu?
- 1.0%, with Martinique ahead.
- How many years of comparable data are there for Martinique and Tuvalu?
- 15 years are reported by both, from 1950 to 2020.
- How do Martinique and Tuvalu rank globally for share of population living in rural areas?
- Martinique ranks 102nd and Tuvalu ranks 105th 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.