Colombia vs Montenegro: Share of population living in rural areas
Colombia
18.5%
in 2020
Montenegro
18.2%
in 2020
Colombia rank
161st
Montenegro rank
163rd
Share of population living in rural areas over time
- Colombia
- Montenegro
How they compare
Colombia currently reports 18.5% against 18.2% in Montenegro, a difference of 0.3%.
Across all 15 years both countries report, Colombia has been ahead every year.
Colombia ranks 161st and Montenegro ranks 163rd of 236 countries.
Colombia has averaged higher in every one of the 8 decades both report.
Head to head by decade
| Decade | Colombia | Montenegro | Difference | Ahead |
|---|---|---|---|---|
| 1950s | 41.8% | 25.8% | 16.1% | Colombia |
| 1960s | 35.0% | 22.8% | 12.2% | Colombia |
| 1970s | 29.1% | 20.8% | 8.3% | Colombia |
| 1980s | 28.2% | 20.1% | 8.1% | Colombia |
| 1990s | 27.0% | 19.4% | 7.6% | Colombia |
| 2000s | 22.8% | 19.2% | 3.6% | Colombia |
| 2010s | 20.2% | 18.7% | 1.6% | Colombia |
| 2020s | 18.5% | 18.2% | 0.3% | Colombia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher share of population living in rural areas, Colombia or Montenegro?
- Colombia, at 18.5% against 18.2% in Montenegro as of 2020.
- What is the difference in share of population living in rural areas between Colombia and Montenegro?
- 0.3%, with Colombia ahead.
- How many years of comparable data are there for Colombia and Montenegro?
- 15 years are reported by both, from 1950 to 2020.
- How do Colombia and Montenegro rank globally for share of population living in rural areas?
- Colombia ranks 161st and Montenegro ranks 163rd 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.