Argentina vs Indonesia: Share of population living in rural areas
Argentina
14.0%
in 2020
Indonesia
14.1%
in 2020
Argentina rank
189th
Indonesia rank
187th
Share of population living in rural areas over time
- Argentina
- Indonesia
How they compare
Indonesia currently reports 14.1% against 14.0% in Argentina, a difference of 0.1%.
The two have swapped places 4 times across 15 shared years of data; in 1950 it was Indonesia ahead.
Argentina ranks 189th and Indonesia ranks 187th of 236 countries.
Across the 8 decades both report, Argentina averaged higher in 4 and Indonesia in 4.
Head to head by decade
| Decade | Argentina | Indonesia | Difference | Ahead |
|---|---|---|---|---|
| 1950s | 26.0% | 27.7% | 1.7% | Indonesia |
| 1960s | 22.9% | 23.3% | 0.4% | Indonesia |
| 1970s | 20.4% | 19.2% | 1.1% | Argentina |
| 1980s | 19.1% | 18.1% | 1.0% | Argentina |
| 1990s | 17.9% | 16.6% | 1.3% | Argentina |
| 2000s | 15.9% | 15.5% | 0.4% | Argentina |
| 2010s | 14.6% | 14.6% | 0.0% | Indonesia |
| 2020s | 14.0% | 14.1% | 0.1% | Indonesia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher share of population living in rural areas, Argentina or Indonesia?
- Indonesia, at 14.1% against 14.0% in Argentina as of 2020.
- What is the difference in share of population living in rural areas between Argentina and Indonesia?
- 0.1%, with Indonesia ahead.
- How many years of comparable data are there for Argentina and Indonesia?
- 15 years are reported by both, from 1950 to 2020.
- How do Argentina and Indonesia rank globally for share of population living in rural areas?
- Argentina ranks 189th and Indonesia ranks 187th 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.