Share of population living in urban and rural areas in Jersey
Jersey: Share of population living in urban and rural areas was 90.8% in 2020. ▲ Rising
Share of population living in urban and rural areas in Jersey, 1950–2020
Source: European Commission, Joint Research Centre (JRC) (2025) – with major processing by Our World in Data. Measured in %.
Analysis
In 2020, share of population living in urban and rural areas in Jersey stood at 90.8%. That is the highest value across all 15 years on record.
The figure is up 4.0% over ten years.
Over the whole period, share of population living in urban and rural areas in Jersey peaked at 90.8% in 2020 and was at its lowest, 81.5%, in 1950.
That places Jersey 29th out of 236 countries with data for 2020, putting it in the top quarter.
The long-run direction has been consistently rising across the 15 years of available data.
Share of population living in urban and rural areas in Jersey, year by year
| Year | % | Change |
|---|---|---|
| 1950 | 81.5% | — |
| 1955 | 81.7% | +0.3% |
| 1960 | 81.8% | +0.0% |
| 1965 | 81.8% | +0.1% |
| 1970 | 81.7% | -0.1% |
| 1975 | 82.0% | +0.3% |
| 1980 | 82.6% | +0.7% |
| 1985 | 82.5% | -0.1% |
| 1990 | 83.6% | +1.3% |
| 1995 | 84.6% | +1.2% |
| 2000 | 86.0% | +1.6% |
| 2005 | 87.1% | +1.3% |
| 2010 | 87.3% | +0.2% |
| 2015 | 90.4% | +3.6% |
| 2020 | 90.8% | +0.4% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1950s | 81.6% | 81.5% | 81.7% | 2 |
| 1960s | 81.8% | 81.8% | 81.8% | 2 |
| 1970s | 81.9% | 81.7% | 82.0% | 2 |
| 1980s | 82.6% | 82.5% | 82.6% | 2 |
| 1990s | 84.1% | 83.6% | 84.6% | 2 |
| 2000s | 86.5% | 86.0% | 87.1% | 2 |
| 2010s | 88.9% | 87.3% | 90.4% | 2 |
| 2020s | 90.8% | 90.8% | 90.8% | 1 |
Countries ranked near Jersey
- 26 Mayotte 91.0% compare
- 27 Guernsey 90.9% compare
- 28 Mauritius 90.9% compare
- 30 United Arab Emirates 90.3% compare
- 31 Western Sahara 90.1% compare
- 32 Republic of Korea 90.1% compare
More reference data data for Jersey
- Wealth share of the richest 1% 22.9% (2024)
- Fertility rate: births per woman 1.37 live births per woman (2023)
- Exposure to extreme temperature — Annual temperature change 1.23 Degrees celsius (2023)
- Exposure to extreme precipitation — Annual precipitation change 218.57 Millimetres per year (2023)
- Average age of mothers at childbirth 30.75 years (2023)
- Fertility rate vs. Human Development Index 1.37 live births per woman (2023)
- Fertility rate: births per woman 1.37 live births per woman (2023)
- Area burned by wildfires by land cover type 0 hectares (2025)
- Wildfire area burned by land cover type 0 hectares (2025)
- Red List Index 0.95 index (2025)
Frequently asked questions
- What is share of population living in urban and rural areas in Jersey?
- Share of population living in urban and rural areas in Jersey was 90.8% in 2020, according to European Commission, Joint Research Centre (JRC) (2025) – with major processing by Our World in Data.
- What is the highest share of population living in urban and rural areas recorded in Jersey?
- The highest recorded value was 90.8% in 2020.
- What is the lowest share of population living in urban and rural areas recorded in Jersey?
- The lowest recorded value was 81.5% in 1950.
- How does Jersey rank for share of population living in urban and rural areas?
- Jersey ranks 29th out of 236 countries with data for 2020.
- Is share of population living in urban and rural areas rising or falling in Jersey?
- Over the last ten years it is up 4.0%. The long-run trend across the full record is rising.
- Where does this Jersey data come from?
- The figures come from European Commission, Joint Research Centre (JRC) (2025) – with major processing by Our World in Data, published as part of Share of population living in urban and rural areas. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 15 observations, free to reuse under CC BY 4.0 (Our World in Data).
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.