Fiji vs Guinea-Bissau: Share of population living in rural areas
Fiji
44.4%
in 2020
Guinea-Bissau
45.1%
in 2020
Fiji rank
43rd
Guinea-Bissau rank
42nd
Share of population living in rural areas over time
- Fiji
- Guinea-Bissau
How they compare
Guinea-Bissau currently reports 45.1% against 44.4% in Fiji, a difference of 0.7%.
The two have swapped places 1 time across 15 shared years of data; in 1950 it was Fiji ahead.
Fiji ranks 43rd and Guinea-Bissau ranks 42nd of 236 countries.
Across the 8 decades both report, Fiji averaged higher in 2 and Guinea-Bissau in 6.
Head to head by decade
| Decade | Fiji | Guinea-Bissau | Difference | Ahead |
|---|---|---|---|---|
| 1950s | 68.1% | 57.2% | 11.0% | Fiji |
| 1960s | 62.5% | 58.7% | 3.7% | Fiji |
| 1970s | 57.3% | 60.2% | 2.9% | Guinea-Bissau |
| 1980s | 53.0% | 58.6% | 5.6% | Guinea-Bissau |
| 1990s | 49.6% | 54.9% | 5.3% | Guinea-Bissau |
| 2000s | 47.6% | 50.7% | 3.1% | Guinea-Bissau |
| 2010s | 45.3% | 46.8% | 1.5% | Guinea-Bissau |
| 2020s | 44.4% | 45.1% | 0.6% | Guinea-Bissau |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher share of population living in rural areas, Fiji or Guinea-Bissau?
- Guinea-Bissau, at 45.1% against 44.4% in Fiji as of 2020.
- What is the difference in share of population living in rural areas between Fiji and Guinea-Bissau?
- 0.7%, with Guinea-Bissau ahead.
- How many years of comparable data are there for Fiji and Guinea-Bissau?
- 15 years are reported by both, from 1950 to 2020.
- How do Fiji and Guinea-Bissau rank globally for share of population living in rural areas?
- Fiji ranks 43rd and Guinea-Bissau ranks 42nd of 236 countries.
- Where does this data come from?
- European Commission, Joint Research Centre (JRC) (2025) – with major processing by Our World in Data, published as Share of population living in rural areas. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
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.