Greenland vs Namibia: Share of population living in rural areas
Greenland
57.5%
in 2020
Namibia
58.2%
in 2020
Greenland rank
22nd
Namibia rank
20th
Share of population living in rural areas over time
- Greenland
- Namibia
How they compare
Namibia currently reports 58.2% against 57.5% in Greenland, a difference of 0.7%.
The two have swapped places 3 times across 15 shared years of data; in 1950 it was Greenland ahead.
Greenland ranks 22nd and Namibia ranks 20th of 236 countries.
Across the 8 decades both report, Greenland averaged higher in 6 and Namibia in 2.
Head to head by decade
| Decade | Greenland | Namibia | Difference | Ahead |
|---|---|---|---|---|
| 1950s | 100.0% | 79.9% | 20.1% | Greenland |
| 1960s | 100.0% | 79.4% | 20.6% | Greenland |
| 1970s | 86.4% | 77.1% | 9.3% | Greenland |
| 1980s | 80.9% | 74.4% | 6.5% | Greenland |
| 1990s | 77.6% | 71.9% | 5.7% | Greenland |
| 2000s | 65.7% | 66.9% | 1.2% | Namibia |
| 2010s | 61.4% | 61.1% | 0.3% | Greenland |
| 2020s | 57.5% | 58.2% | 0.8% | Namibia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher share of population living in rural areas, Greenland or Namibia?
- Namibia, at 58.2% against 57.5% in Greenland as of 2020.
- What is the difference in share of population living in rural areas between Greenland and Namibia?
- 0.7%, with Namibia ahead.
- How many years of comparable data are there for Greenland and Namibia?
- 15 years are reported by both, from 1950 to 2020.
- How do Greenland and Namibia rank globally for share of population living in rural areas?
- Greenland ranks 22nd and Namibia ranks 20th 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.