Suriname vs Tunisia: Share of population living in rural areas
Suriname
29.2%
in 2020
Tunisia
28.7%
in 2020
Suriname rank
98th
Tunisia rank
100th
Share of population living in rural areas over time
- Suriname
- Tunisia
How they compare
Suriname currently reports 29.2% against 28.7% in Tunisia, a difference of 0.5%.
The two have swapped places 2 times across 15 shared years of data; in 1950 it was Suriname ahead.
Suriname ranks 98th and Tunisia ranks 100th of 236 countries.
Across the 8 decades both report, Suriname averaged higher in 4 and Tunisia in 4.
Head to head by decade
| Decade | Suriname | Tunisia | Difference | Ahead |
|---|---|---|---|---|
| 1950s | 54.9% | 53.4% | 1.5% | Suriname |
| 1960s | 47.2% | 50.7% | 3.5% | Tunisia |
| 1970s | 40.4% | 46.4% | 6.0% | Tunisia |
| 1980s | 37.3% | 42.6% | 5.3% | Tunisia |
| 1990s | 37.4% | 38.6% | 1.2% | Tunisia |
| 2000s | 36.9% | 33.8% | 3.1% | Suriname |
| 2010s | 32.0% | 30.8% | 1.2% | Suriname |
| 2020s | 29.2% | 28.7% | 0.5% | Suriname |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher share of population living in rural areas, Suriname or Tunisia?
- Suriname, at 29.2% against 28.7% in Tunisia as of 2020.
- What is the difference in share of population living in rural areas between Suriname and Tunisia?
- 0.5%, with Suriname ahead.
- How many years of comparable data are there for Suriname and Tunisia?
- 15 years are reported by both, from 1950 to 2020.
- How do Suriname and Tunisia rank globally for share of population living in rural areas?
- Suriname ranks 98th and Tunisia ranks 100th 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.