Jersey vs Mayotte: Share of population living in urban areas
Jersey
90.8%
in 2020
Mayotte
91.0%
in 2020
Jersey rank
29th
Mayotte rank
26th
Share of population living in urban areas over time
- Jersey
- Mayotte
How they compare
Mayotte currently reports 91.0% against 90.8% in Jersey, a difference of 0.2%.
The two have swapped places 1 time across 15 shared years of data; in 1950 it was Jersey ahead.
Jersey ranks 29th and Mayotte ranks 26th of 236 countries.
Across the 8 decades both report, Jersey averaged higher in 7 and Mayotte in 1.
Head to head by decade
| Decade | Jersey | Mayotte | Difference | Ahead |
|---|---|---|---|---|
| 1950s | 81.6% | 26.8% | 54.8% | Jersey |
| 1960s | 81.8% | 32.5% | 49.3% | Jersey |
| 1970s | 81.9% | 39.6% | 42.2% | Jersey |
| 1980s | 82.6% | 47.0% | 35.5% | Jersey |
| 1990s | 84.1% | 62.4% | 21.7% | Jersey |
| 2000s | 86.5% | 80.3% | 6.2% | Jersey |
| 2010s | 88.9% | 84.3% | 4.5% | Jersey |
| 2020s | 90.8% | 91.0% | 0.2% | Mayotte |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher share of population living in urban areas, Jersey or Mayotte?
- Mayotte, at 91.0% against 90.8% in Jersey as of 2020.
- What is the difference in share of population living in urban areas between Jersey and Mayotte?
- 0.2%, with Mayotte ahead.
- How many years of comparable data are there for Jersey and Mayotte?
- 15 years are reported by both, from 1950 to 2020.
- How do Jersey and Mayotte rank globally for share of population living in urban areas?
- Jersey ranks 29th and Mayotte ranks 26th 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 urban 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 urban areas (the sum of cities and towns and suburbs). Urban areas are identified using satellite imagery and population data, applying the same definitions across countries.