Argentina vs Barbados: Share of population living in rural areas
Argentina
14.0%
in 2020
Barbados
13.6%
in 2020
Argentina rank
189th
Barbados rank
192nd
Share of population living in rural areas over time
- Argentina
- Barbados
How they compare
Argentina currently reports 14.0% against 13.6% in Barbados, a difference of 0.4%.
The two have swapped places 2 times across 15 shared years of data; in 1950 it was Argentina ahead.
Argentina ranks 189th and Barbados ranks 192nd of 236 countries.
Across the 8 decades both report, Argentina averaged higher in 7 and Barbados in 1.
Head to head by decade
| Decade | Argentina | Barbados | Difference | Ahead |
|---|---|---|---|---|
| 1950s | 26.0% | 12.9% | 13.1% | Argentina |
| 1960s | 22.9% | 12.1% | 10.8% | Argentina |
| 1970s | 20.4% | 11.7% | 8.7% | Argentina |
| 1980s | 19.1% | 12.6% | 6.5% | Argentina |
| 1990s | 17.9% | 12.4% | 5.5% | Argentina |
| 2000s | 15.9% | 13.6% | 2.4% | Argentina |
| 2010s | 14.6% | 15.6% | 1.0% | Barbados |
| 2020s | 14.0% | 13.6% | 0.3% | Argentina |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher share of population living in rural areas, Argentina or Barbados?
- Argentina, at 14.0% against 13.6% in Barbados as of 2020.
- What is the difference in share of population living in rural areas between Argentina and Barbados?
- 0.4%, with Argentina ahead.
- How many years of comparable data are there for Argentina and Barbados?
- 15 years are reported by both, from 1950 to 2020.
- How do Argentina and Barbados rank globally for share of population living in rural areas?
- Argentina ranks 189th and Barbados ranks 192nd 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.