Share of population living in urban and rural areas in Djibouti
Djibouti: Share of population living in urban and rural areas was 89.9% in 2020. ▲ Rising
Share of population living in urban and rural areas in Djibouti, 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 Djibouti stood at 89.9%.
That represents a change of down 0.6% over ten years.
Over the whole period, share of population living in urban and rural areas in Djibouti peaked at 90.7% in 2005 and was at its lowest, 40.7%, in 1950.
That places Djibouti 33rd 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 Djibouti, year by year
| Year | % | Change |
|---|---|---|
| 1950 | 40.7% | — |
| 1955 | 44.0% | +8.0% |
| 1960 | 47.5% | +7.9% |
| 1965 | 52.6% | +10.9% |
| 1970 | 58.9% | +11.9% |
| 1975 | 65.1% | +10.5% |
| 1980 | 74.7% | +14.9% |
| 1985 | 81.0% | +8.4% |
| 1990 | 87.0% | +7.4% |
| 1995 | 90.0% | +3.4% |
| 2000 | 90.1% | +0.2% |
| 2005 | 90.7% | +0.6% |
| 2010 | 90.4% | -0.3% |
| 2015 | 89.9% | -0.6% |
| 2020 | 89.9% | +0.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1950s | 42.3% | 40.7% | 44.0% | 2 |
| 1960s | 50.1% | 47.5% | 52.6% | 2 |
| 1970s | 62.0% | 58.9% | 65.1% | 2 |
| 1980s | 77.9% | 74.7% | 81.0% | 2 |
| 1990s | 88.5% | 87.0% | 90.0% | 2 |
| 2000s | 90.4% | 90.1% | 90.7% | 2 |
| 2010s | 90.1% | 89.9% | 90.4% | 2 |
| 2020s | 89.9% | 89.9% | 89.9% | 1 |
Countries ranked near Djibouti
- 30 United Arab Emirates 90.3% compare
- 31 Western Sahara 90.1% compare
- 32 Republic of Korea 90.1% compare
- 34 Saint Martin (French Part) 89.7% compare
- 35 Lebanon 89.6% compare
- 36 Equatorial Guinea 89.5% compare
More reference data data for Djibouti
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.0052 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.2231 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 0.2286 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.0003 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.2286 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 0.0175 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.0092 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 1.01 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 1.04 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.0016 (2050)
Frequently asked questions
- What is share of population living in urban and rural areas in Djibouti?
- Share of population living in urban and rural areas in Djibouti was 89.9% 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 Djibouti?
- The highest recorded value was 90.7% in 2005.
- What is the lowest share of population living in urban and rural areas recorded in Djibouti?
- The lowest recorded value was 40.7% in 1950.
- How does Djibouti rank for share of population living in urban and rural areas?
- Djibouti ranks 33rd out of 236 countries with data for 2020.
- Is share of population living in urban and rural areas rising or falling in Djibouti?
- Over the last ten years it is down 0.6%. The long-run trend across the full record is rising.
- Where does this Djibouti 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.
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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.