Share of population living in urban and rural areas in Equatorial Guinea
Equatorial Guinea: Share of population living in urban and rural areas was 89.5% in 2020. ▲ Rising
Share of population living in urban and rural areas in Equatorial Guinea, 1950–2020
Source: European Commission, Joint Research Centre (JRC) (2025) – with major processing by Our World in Data. Measured in %.
Analysis
Equatorial Guinea recorded 89.5% for share of population living in urban and rural areas in 2020. That is the highest value across all 15 years on record.
The figure is up 27.1% over ten years.
Over the whole period, share of population living in urban and rural areas in Equatorial Guinea peaked at 89.5% in 2020 and was at its lowest, 47.5%, in 1990.
Equatorial Guinea ranks 36th of 236 countries on this measure, 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 Equatorial Guinea, year by year
| Year | % | Change |
|---|---|---|
| 1950 | 57.6% | — |
| 1955 | 56.2% | -2.6% |
| 1960 | 54.6% | -2.7% |
| 1965 | 53.4% | -2.3% |
| 1970 | 51.9% | -2.8% |
| 1975 | 49.3% | -5.0% |
| 1980 | 48.1% | -2.3% |
| 1985 | 48.9% | +1.6% |
| 1990 | 47.5% | -3.0% |
| 1995 | 49.7% | +4.8% |
| 2000 | 60.0% | +20.5% |
| 2005 | 64.8% | +8.1% |
| 2010 | 70.4% | +8.7% |
| 2015 | 73.2% | +3.9% |
| 2020 | 89.5% | +22.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1950s | 56.9% | 56.2% | 57.6% | 2 |
| 1960s | 54.0% | 53.4% | 54.6% | 2 |
| 1970s | 50.6% | 49.3% | 51.9% | 2 |
| 1980s | 48.5% | 48.1% | 48.9% | 2 |
| 1990s | 48.6% | 47.5% | 49.7% | 2 |
| 2000s | 62.4% | 60.0% | 64.8% | 2 |
| 2010s | 71.8% | 70.4% | 73.2% | 2 |
| 2020s | 89.5% | 89.5% | 89.5% | 1 |
Countries ranked near Equatorial Guinea
More reference data data for Equatorial Guinea
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.0083 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure left on 8.36 (2050)
- Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Enteric 13.67 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Agricultural 9.48 (2050)
- Emission Totals - Emissions (CO2eq) (AR5) - Manure left on Pasture 8.36 (2050)
- Emission Totals - Emissions (CO2eq) (AR5) - Enteric Fermentation 13.67 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure applied 1.11 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - IPCC Agriculture 10.65 (2050)
- Emission Totals - Emissions (CO2eq) (AR5) - IPCC Agriculture 25.26 (2050)
- Emission Totals - Direct emissions (N2O) - Manure left on Pasture 0.0246 (2050)
Frequently asked questions
- What is share of population living in urban and rural areas in Equatorial Guinea?
- Share of population living in urban and rural areas in Equatorial Guinea was 89.5% 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 Equatorial Guinea?
- The highest recorded value was 89.5% in 2020.
- What is the lowest share of population living in urban and rural areas recorded in Equatorial Guinea?
- The lowest recorded value was 47.5% in 1990.
- How does Equatorial Guinea rank for share of population living in urban and rural areas?
- Equatorial Guinea ranks 36th out of 236 countries with data for 2020.
- Is share of population living in urban and rural areas rising or falling in Equatorial Guinea?
- Over the last ten years it is up 27.1%. The long-run trend across the full record is rising.
- Where does this Equatorial Guinea 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.