Malaysia vs Montenegro: Share of population living in rural areas
Malaysia
17.7%
in 2020
Montenegro
18.2%
in 2020
Malaysia rank
166th
Montenegro rank
163rd
Share of population living in rural areas over time
- Malaysia
- Montenegro
How they compare
Montenegro currently reports 18.2% against 17.7% in Malaysia, a difference of 0.5%.
The two have swapped places 1 time across 15 shared years of data; in 1950 it was Malaysia ahead.
Malaysia ranks 166th and Montenegro ranks 163rd of 236 countries.
Across the 8 decades both report, Malaysia averaged higher in 7 and Montenegro in 1.
Head to head by decade
| Decade | Malaysia | Montenegro | Difference | Ahead |
|---|---|---|---|---|
| 1950s | 41.3% | 25.8% | 15.5% | Malaysia |
| 1960s | 37.4% | 22.8% | 14.6% | Malaysia |
| 1970s | 33.8% | 20.8% | 13.0% | Malaysia |
| 1980s | 31.0% | 20.1% | 10.8% | Malaysia |
| 1990s | 26.8% | 19.4% | 7.5% | Malaysia |
| 2000s | 22.2% | 19.2% | 3.0% | Malaysia |
| 2010s | 19.2% | 18.7% | 0.5% | Malaysia |
| 2020s | 17.7% | 18.2% | 0.5% | Montenegro |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher share of population living in rural areas, Malaysia or Montenegro?
- Montenegro, at 18.2% against 17.7% in Malaysia as of 2020.
- What is the difference in share of population living in rural areas between Malaysia and Montenegro?
- 0.5%, with Montenegro ahead.
- How many years of comparable data are there for Malaysia and Montenegro?
- 15 years are reported by both, from 1950 to 2020.
- How do Malaysia and Montenegro rank globally for share of population living in rural areas?
- Malaysia ranks 166th 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.