Cuba vs Malaysia: Share of population living in rural areas
Cuba
17.9%
in 2020
Malaysia
17.7%
in 2020
Cuba rank
164th
Malaysia rank
166th
Share of population living in rural areas over time
- Cuba
- Malaysia
How they compare
Cuba currently reports 17.9% against 17.7% in Malaysia, a difference of 0.2%.
The two have swapped places 1 time across 15 shared years of data; in 1950 it was Malaysia ahead.
Cuba ranks 164th and Malaysia ranks 166th of 236 countries.
Across the 8 decades both report, Cuba averaged higher in 1 and Malaysia in 7.
Head to head by decade
| Decade | Cuba | Malaysia | Difference | Ahead |
|---|---|---|---|---|
| 1950s | 18.4% | 41.3% | 22.9% | Malaysia |
| 1960s | 15.9% | 37.4% | 21.5% | Malaysia |
| 1970s | 13.9% | 33.8% | 19.9% | Malaysia |
| 1980s | 15.3% | 31.0% | 15.7% | Malaysia |
| 1990s | 16.6% | 26.8% | 10.2% | Malaysia |
| 2000s | 16.3% | 22.2% | 5.9% | Malaysia |
| 2010s | 16.6% | 19.2% | 2.5% | Malaysia |
| 2020s | 17.9% | 17.7% | 0.2% | Cuba |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher share of population living in rural areas, Cuba or Malaysia?
- Cuba, at 17.9% against 17.7% in Malaysia as of 2020.
- What is the difference in share of population living in rural areas between Cuba and Malaysia?
- 0.2%, with Cuba ahead.
- How many years of comparable data are there for Cuba and Malaysia?
- 15 years are reported by both, from 1950 to 2020.
- How do Cuba and Malaysia rank globally for share of population living in rural areas?
- Cuba ranks 164th and Malaysia ranks 166th of 236 countries.
- Where does this data come from?
- European Commission, Joint Research Centre (JRC) (2025) β 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.