Palau vs Zimbabwe: Share of population living in rural areas
Palau
60.7%
in 2020
Zimbabwe
66.4%
in 2020
Palau rank
19th
Zimbabwe rank
16th
Share of population living in rural areas over time
- Palau
- Zimbabwe
How they compare
Zimbabwe currently reports 66.4% against 60.7% in Palau, a difference of 5.7%.
That makes Zimbabwe's figure about 1.1 times Palau's.
The two have swapped places 1 time across 15 shared years of data; in 1950 it was Palau ahead.
Palau ranks 19th and Zimbabwe ranks 16th of 236 countries.
Zimbabwe has averaged higher in every one of the 8 decades both report.
Head to head by decade
| Decade | Palau | Zimbabwe | Difference | Ahead |
|---|---|---|---|---|
| 1950s | 67.3% | 76.0% | 8.8% | Zimbabwe |
| 1960s | 33.7% | 72.3% | 38.7% | Zimbabwe |
| 1970s | 33.1% | 68.0% | 34.9% | Zimbabwe |
| 1980s | 30.9% | 65.8% | 34.9% | Zimbabwe |
| 1990s | 28.1% | 62.7% | 34.7% | Zimbabwe |
| 2000s | 37.2% | 62.5% | 25.2% | Zimbabwe |
| 2010s | 42.5% | 63.6% | 21.1% | Zimbabwe |
| 2020s | 60.7% | 66.4% | 5.7% | Zimbabwe |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher share of population living in rural areas, Palau or Zimbabwe?
- Zimbabwe, at 66.4% against 60.7% in Palau as of 2020.
- What is the difference in share of population living in rural areas between Palau and Zimbabwe?
- 5.7%, with Zimbabwe ahead.
- How many years of comparable data are there for Palau and Zimbabwe?
- 15 years are reported by both, from 1950 to 2020.
- How do Palau and Zimbabwe rank globally for share of population living in rural areas?
- Palau ranks 19th and Zimbabwe ranks 16th 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.