Portugal vs Suriname: Share of population living in rural areas
Portugal
29.5%
in 2020
Suriname
29.2%
in 2020
Portugal rank
96th
Suriname rank
98th
Share of population living in rural areas over time
- Portugal
- Suriname
How they compare
Portugal currently reports 29.5% against 29.2% in Suriname, a difference of 0.3%.
The two have swapped places 1 time across 15 shared years of data; in 1950 it was Suriname ahead.
Portugal ranks 96th and Suriname ranks 98th of 236 countries.
Across the 8 decades both report, Portugal averaged higher in 1 and Suriname in 7.
Head to head by decade
| Decade | Portugal | Suriname | Difference | Ahead |
|---|---|---|---|---|
| 1950s | 37.2% | 54.9% | 17.7% | Suriname |
| 1960s | 36.2% | 47.2% | 11.0% | Suriname |
| 1970s | 36.2% | 40.4% | 4.1% | Suriname |
| 1980s | 33.5% | 37.3% | 3.8% | Suriname |
| 1990s | 32.4% | 37.4% | 4.9% | Suriname |
| 2000s | 31.0% | 36.9% | 6.0% | Suriname |
| 2010s | 29.9% | 32.0% | 2.1% | Suriname |
| 2020s | 29.5% | 29.2% | 0.2% | Portugal |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher share of population living in rural areas, Portugal or Suriname?
- Portugal, at 29.5% against 29.2% in Suriname as of 2020.
- What is the difference in share of population living in rural areas between Portugal and Suriname?
- 0.3%, with Portugal ahead.
- How many years of comparable data are there for Portugal and Suriname?
- 15 years are reported by both, from 1950 to 2020.
- How do Portugal and Suriname rank globally for share of population living in rural areas?
- Portugal ranks 96th and Suriname ranks 98th 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.