Bangladesh vs Jersey: Do more people live in urban or rural areas?
Bangladesh
33.2%
in 2025
Jersey
34.5%
in 2025
Bangladesh rank
205th
Jersey rank
203rd
Do more people live in urban or rural areas? over time
- Bangladesh
- Jersey
How they compare
Jersey currently reports 34.5% against 33.2% in Bangladesh, a difference of 1.3%.
Across all 76 years both countries report, Jersey has been ahead every year.
Bangladesh ranks 205th and Jersey ranks 203rd of 238 countries.
Jersey has averaged higher in every one of the 8 decades both report.
Head to head by decade
| Decade | Bangladesh | Jersey | Difference | Ahead |
|---|---|---|---|---|
| 1950s | 4.6% | 43.7% | 39.1% | Jersey |
| 1960s | 6.0% | 41.0% | 35.0% | Jersey |
| 1970s | 9.9% | 35.7% | 25.8% | Jersey |
| 1980s | 17.3% | 33.7% | 16.5% | Jersey |
| 1990s | 21.5% | 32.7% | 11.3% | Jersey |
| 2000s | 25.3% | 33.1% | 7.9% | Jersey |
| 2010s | 29.3% | 34.5% | 5.1% | Jersey |
| 2020s | 32.0% | 34.6% | 2.6% | Jersey |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher do more people live in urban or rural areas?, Bangladesh or Jersey?
- Jersey, at 34.5% against 33.2% in Bangladesh as of 2025.
- What is the difference in do more people live in urban or rural areas? between Bangladesh and Jersey?
- 1.3%, with Jersey ahead.
- How many years of comparable data are there for Bangladesh and Jersey?
- 76 years are reported by both, from 1950 to 2025.
- How do Bangladesh and Jersey rank globally for do more people live in urban or rural areas??
- Bangladesh ranks 205th and Jersey ranks 203rd of 238 countries.
- Where does this data come from?
- HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025) – with minor processing by Our World in Data, published as Do more people live in urban or rural areas?. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Share of the population living in urban areas, combining UN estimates with modeled historical data.