Share of population living in rural areas in Guinea-Bissau

Guinea-Bissau: Share of population living in rural areas was 45.1% in 2020. ▼ Falling

Latest (2020)
45.1%
World rank
42nd
of 236 countries
All-time high
60.6%
in 1970
All-time low
45.1%
in 2020
Years of data
15
1950–2020

Share of population living in rural areas in Guinea-Bissau, 1950–2020

02040601950198520201950: 57 %1955: 57.3 %1960: 58.1 %1965: 59.3 %1970: 60.6 %1975: 59.7 %1980: 58.6 %1985: 58.6 %1990: 56 %1995: 53.8 %2000: 51.6 %2005: 49.8 %2010: 47.8 %2015: 45.8 %2020: 45.1 %

Source: European Commission, Joint Research Centre (JRC) (2025) – with major processing by Our World in Data. Measured in %.

Analysis

Guinea-Bissau recorded 45.1% for share of population living in rural areas in 2020. That is the lowest value across all 15 years on record.

That represents a change of down 5.7% over ten years.

Over the whole period, share of population living in rural areas in Guinea-Bissau peaked at 60.6% in 1970 and was at its lowest, 45.1%, in 2020.

That places Guinea-Bissau 42nd out of 236 countries with data for 2020, putting it in the top quarter.

The long-run direction has been consistently falling across the 15 years of available data.

Share of population living in rural areas in Guinea-Bissau, year by year

Annual values for Share of population living in rural areas in Guinea-Bissau, 1950 to 2020.
Year % Change
1950 57.0%
1955 57.3% +0.7%
1960 58.1% +1.4%
1965 59.3% +2.0%
1970 60.6% +2.3%
1975 59.7% -1.6%
1980 58.6% -1.9%
1985 58.6% -0.0%
1990 56.0% -4.5%
1995 53.8% -3.8%
2000 51.6% -4.0%
2005 49.8% -3.6%
2010 47.8% -4.0%
2015 45.8% -4.1%
2020 45.1% -1.6%

Averages by decade

DecadeAverage LowestHighest Years
1950s 57.2% 57.0% 57.3% 2
1960s 58.7% 58.1% 59.3% 2
1970s 60.2% 59.7% 60.6% 2
1980s 58.6% 58.6% 58.6% 2
1990s 54.9% 53.8% 56.0% 2
2000s 50.7% 49.8% 51.6% 2
2010s 46.8% 45.8% 47.8% 2
2020s 45.1% 45.1% 45.1% 1

Countries ranked near Guinea-Bissau

  1. 39 Croatia 45.6% compare
  2. 40 Romania 45.3% compare
  3. 41 Ireland 45.2% compare
  4. 43 Fiji 44.4% compare
  5. 44 Central African Republic 43.9% compare
  6. 45 Belize 43.9% compare

See the full ranking of 236 places →

More population data for Guinea-Bissau

All data for Guinea-Bissau →

Frequently asked questions

What is share of population living in rural areas in Guinea-Bissau?
Share of population living in rural areas in Guinea-Bissau was 45.1% 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 Guinea-Bissau?
The highest recorded value was 60.6% in 1970.
What is the lowest share of population living in rural areas recorded in Guinea-Bissau?
The lowest recorded value was 45.1% in 2020.
How does Guinea-Bissau rank for share of population living in rural areas?
Guinea-Bissau ranks 42nd out of 236 countries with data for 2020.
Is share of population living in rural areas rising or falling in Guinea-Bissau?
Over the last ten years it is down 5.7%. The long-run trend across the full record is falling.
Where does this Guinea-Bissau 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.

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Share of population living in rural areas in Guinea-Bissau. Statizoid, drawing on European Commission, Joint Research Centre (JRC) (2025) – with major processing by Our World in Data. Retrieved 03 September 2026, from https://population.statizoid.com/stat/share-of-population-living-in-rural-areas/guinea-bissau/

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About this data

Indicator
Share of population living in rural areas
Unit
%
Source
European Commission, Joint Research Centre (JRC) (2025) – with major processing by Our World in Data
Licence
CC BY 4.0 (Our World in Data)
Coverage
236 places, 3,540 data points, 1950–2020
Last refreshed

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.