Congo vs Guernsey: Share of population living in rural areas
Congo
8.3%
in 2020
Guernsey
9.1%
in 2020
Congo rank
213th
Guernsey rank
210th
Share of population living in rural areas over time
- Congo
- Guernsey
How they compare
Guernsey currently reports 9.1% against 8.3% in Congo, a difference of 0.8%.
That makes Guernsey's figure about 1.1 times Congo's.
The two have swapped places 1 time across 15 shared years of data; in 1950 it was Congo ahead.
Congo ranks 213th and Guernsey ranks 210th of 236 countries.
Across the 8 decades both report, Congo averaged higher in 7 and Guernsey in 1.
Head to head by decade
| Decade | Congo | Guernsey | Difference | Ahead |
|---|---|---|---|---|
| 1950s | 27.0% | 11.1% | 15.9% | Congo |
| 1960s | 22.7% | 10.9% | 11.8% | Congo |
| 1970s | 18.2% | 10.4% | 7.8% | Congo |
| 1980s | 14.9% | 10.5% | 4.4% | Congo |
| 1990s | 14.8% | 9.3% | 5.5% | Congo |
| 2000s | 14.3% | 9.4% | 4.8% | Congo |
| 2010s | 11.5% | 9.1% | 2.4% | Congo |
| 2020s | 8.3% | 9.1% | 0.8% | Guernsey |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher share of population living in rural areas, Congo or Guernsey?
- Guernsey, at 9.1% against 8.3% in Congo as of 2020.
- What is the difference in share of population living in rural areas between Congo and Guernsey?
- 0.8%, with Guernsey ahead.
- How many years of comparable data are there for Congo and Guernsey?
- 15 years are reported by both, from 1950 to 2020.
- How do Congo and Guernsey rank globally for share of population living in rural areas?
- Congo ranks 213th and Guernsey ranks 210th of 236 countries.
- Where does this data come from?
- European Commission, Joint Research Centre (JRC) (2025) β 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.