Bahrain vs Bangladesh: Share of population living in rural areas
Bahrain
2.1%
in 2020
Bangladesh
2.0%
in 2020
Bahrain rank
228th
Bangladesh rank
229th
Share of population living in rural areas over time
- Bahrain
- Bangladesh
How they compare
Bahrain currently reports 2.1% against 2.0% in Bangladesh, a difference of 0.1%.
The two have swapped places 1 time across 15 shared years of data; in 1950 it was Bangladesh ahead.
Bahrain ranks 228th and Bangladesh ranks 229th of 236 countries.
Across the 8 decades both report, Bahrain averaged higher in 1 and Bangladesh in 7.
Head to head by decade
| Decade | Bahrain | Bangladesh | Difference | Ahead |
|---|---|---|---|---|
| 1950s | 7.2% | 22.5% | 15.3% | Bangladesh |
| 1960s | 6.4% | 17.8% | 11.4% | Bangladesh |
| 1970s | 5.7% | 13.5% | 7.7% | Bangladesh |
| 1980s | 4.5% | 8.4% | 3.9% | Bangladesh |
| 1990s | 2.7% | 4.9% | 2.2% | Bangladesh |
| 2000s | 2.4% | 3.6% | 1.3% | Bangladesh |
| 2010s | 2.2% | 2.7% | 0.5% | Bangladesh |
| 2020s | 2.1% | 2.0% | 0.1% | Bahrain |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher share of population living in rural areas, Bahrain or Bangladesh?
- Bahrain, at 2.1% against 2.0% in Bangladesh as of 2020.
- What is the difference in share of population living in rural areas between Bahrain and Bangladesh?
- 0.1%, with Bahrain ahead.
- How many years of comparable data are there for Bahrain and Bangladesh?
- 15 years are reported by both, from 1950 to 2020.
- How do Bahrain and Bangladesh rank globally for share of population living in rural areas?
- Bahrain ranks 228th and Bangladesh ranks 229th 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.