Indonesia vs Uruguay: Share of population living in urban areas
Indonesia
85.9%
in 2020
Uruguay
86.2%
in 2020
Indonesia rank
50th
Uruguay rank
47th
Share of population living in urban areas over time
- Indonesia
- Uruguay
How they compare
Uruguay currently reports 86.2% against 85.9% in Indonesia, a difference of 0.3%.
Across all 15 years both countries report, Uruguay has been ahead every year.
Indonesia ranks 50th and Uruguay ranks 47th of 236 countries.
Uruguay has averaged higher in every one of the 8 decades both report.
Head to head by decade
| Decade | Indonesia | Uruguay | Difference | Ahead |
|---|---|---|---|---|
| 1950s | 72.3% | 80.6% | 8.3% | Uruguay |
| 1960s | 76.7% | 82.6% | 5.9% | Uruguay |
| 1970s | 80.8% | 83.8% | 3.1% | Uruguay |
| 1980s | 81.9% | 84.0% | 2.1% | Uruguay |
| 1990s | 83.4% | 84.1% | 0.7% | Uruguay |
| 2000s | 84.5% | 84.8% | 0.3% | Uruguay |
| 2010s | 85.4% | 86.0% | 0.5% | Uruguay |
| 2020s | 85.9% | 86.2% | 0.3% | Uruguay |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher share of population living in urban areas, Indonesia or Uruguay?
- Uruguay, at 86.2% against 85.9% in Indonesia as of 2020.
- What is the difference in share of population living in urban areas between Indonesia and Uruguay?
- 0.3%, with Uruguay ahead.
- How many years of comparable data are there for Indonesia and Uruguay?
- 15 years are reported by both, from 1950 to 2020.
- How do Indonesia and Uruguay rank globally for share of population living in urban areas?
- Indonesia ranks 50th and Uruguay ranks 47th 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 urban 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 urban areas (the sum of cities and towns and suburbs). Urban areas are identified using satellite imagery and population data, applying the same definitions across countries.