Argentina vs Comoros: Share of population living in rural areas
Argentina
14.0%
in 2020
Comoros
13.7%
in 2020
Argentina rank
189th
Comoros rank
191st
Share of population living in rural areas over time
- Argentina
- Comoros
How they compare
Argentina currently reports 14.0% against 13.7% in Comoros, a difference of 0.3%.
The two have swapped places 1 time across 15 shared years of data; in 1950 it was Comoros ahead.
Argentina ranks 189th and Comoros ranks 191st of 236 countries.
Across the 8 decades both report, Argentina averaged higher in 1 and Comoros in 7.
Head to head by decade
| Decade | Argentina | Comoros | Difference | Ahead |
|---|---|---|---|---|
| 1950s | 26.0% | 53.6% | 27.6% | Comoros |
| 1960s | 22.9% | 48.0% | 25.1% | Comoros |
| 1970s | 20.4% | 41.2% | 20.8% | Comoros |
| 1980s | 19.1% | 32.6% | 13.5% | Comoros |
| 1990s | 17.9% | 28.4% | 10.5% | Comoros |
| 2000s | 15.9% | 24.2% | 8.3% | Comoros |
| 2010s | 14.6% | 18.5% | 3.9% | Comoros |
| 2020s | 14.0% | 13.7% | 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 Comoros?
- Argentina, at 14.0% against 13.7% in Comoros as of 2020.
- What is the difference in share of population living in rural areas between Argentina and Comoros?
- 0.3%, with Argentina ahead.
- How many years of comparable data are there for Argentina and Comoros?
- 15 years are reported by both, from 1950 to 2020.
- How do Argentina and Comoros rank globally for share of population living in rural areas?
- Argentina ranks 189th and Comoros ranks 191st 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.