Share of population living in rural areas in Equatorial Guinea
Equatorial Guinea: Share of population living in rural areas was 10.5% in 2020. ▼ Falling
Share of population living in 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
In 2020, share of population living in rural areas in Equatorial Guinea stood at 10.5%. That is the lowest value across all 15 years on record.
That represents a change of down 64.4% over ten years.
Over the whole period, share of population living in rural areas in Equatorial Guinea peaked at 52.5% in 1990 and was at its lowest, 10.5%, in 2020.
That places Equatorial Guinea 201st out of 236 countries with data for 2020, putting it in the bottom quarter.
The long-run direction has been consistently falling across the 15 years of available data.
Share of population living in rural areas in Equatorial Guinea, year by year
| Year | % | Change |
|---|---|---|
| 1950 | 42.4% | — |
| 1955 | 43.8% | +3.5% |
| 1960 | 45.4% | +3.5% |
| 1965 | 46.6% | +2.8% |
| 1970 | 48.1% | +3.2% |
| 1975 | 50.7% | +5.4% |
| 1980 | 51.9% | +2.3% |
| 1985 | 51.1% | -1.5% |
| 1990 | 52.5% | +2.8% |
| 1995 | 50.3% | -4.4% |
| 2000 | 40.0% | -20.3% |
| 2005 | 35.2% | -12.1% |
| 2010 | 29.6% | -16.0% |
| 2015 | 26.8% | -9.3% |
| 2020 | 10.5% | -60.7% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1950s | 43.1% | 42.4% | 43.8% | 2 |
| 1960s | 46.0% | 45.4% | 46.6% | 2 |
| 1970s | 49.4% | 48.1% | 50.7% | 2 |
| 1980s | 51.5% | 51.1% | 51.9% | 2 |
| 1990s | 51.4% | 50.3% | 52.5% | 2 |
| 2000s | 37.6% | 35.2% | 40.0% | 2 |
| 2010s | 28.2% | 26.8% | 29.6% | 2 |
| 2020s | 10.5% | 10.5% | 10.5% | 1 |
Countries ranked near Equatorial Guinea
More population data for Equatorial Guinea
- Population regions with projections, annual growth rate 0.4453 % change on previous year (2100)
- Urban and rural population 2050, annual growth rate 1.46 % change on previous year (2050)
- Population long run with projections, annual growth rate 0.4453 % change on previous year (2100)
- Un population 2024 vs 2022, annual growth rate 0.1457 % change on previous year (2100)
- Projected population under age 5, annual growth rate -0.2436 % change on previous year (2100)
- World population growth 0.4% (2100)
- Population density 178.37 people per km² (2100)
- Number of children under 5, by world region 328,832 people (2100)
- Population growth rate, by level of development 0.4% (2100)
- Number of people living in urban and rural areas, annual growth rate 2.74 % change on previous year (2025)
Frequently asked questions
- What is share of population living in rural areas in Equatorial Guinea?
- Share of population living in rural areas in Equatorial Guinea was 10.5% 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 rural areas recorded in Equatorial Guinea?
- The highest recorded value was 52.5% in 1990.
- What is the lowest share of population living in rural areas recorded in Equatorial Guinea?
- The lowest recorded value was 10.5% in 2020.
- How does Equatorial Guinea rank for share of population living in rural areas?
- Equatorial Guinea ranks 201st out of 236 countries with data for 2020.
- Is share of population living in rural areas rising or falling in Equatorial Guinea?
- Over the last ten years it is down 64.4%. The long-run trend across the full record is falling.
- 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 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 rural areas. Rural areas are identified using satellite imagery and population data, applying the same definitions across countries.