Niger vs Slovenia: Share of population living in urban areas
Niger
49.4%
in 2020
Slovenia
50.3%
in 2020
Niger rank
208th
Slovenia rank
206th
Share of population living in urban areas over time
- Niger
- Slovenia
How they compare
Slovenia currently reports 50.3% against 49.4% in Niger, a difference of 0.9%.
The two have swapped places 2 times across 15 shared years of data; in 1950 it was Slovenia ahead.
Niger ranks 208th and Slovenia ranks 206th of 236 countries.
Across the 8 decades both report, Niger averaged higher in 2 and Slovenia in 6.
Head to head by decade
| Decade | Niger | Slovenia | Difference | Ahead |
|---|---|---|---|---|
| 1950s | 28.4% | 39.2% | 10.8% | Slovenia |
| 1960s | 32.3% | 41.6% | 9.3% | Slovenia |
| 1970s | 36.3% | 43.6% | 7.3% | Slovenia |
| 1980s | 40.0% | 46.3% | 6.3% | Slovenia |
| 1990s | 45.7% | 48.2% | 2.5% | Slovenia |
| 2000s | 50.3% | 48.5% | 1.8% | Niger |
| 2010s | 51.1% | 49.7% | 1.4% | Niger |
| 2020s | 49.4% | 50.3% | 0.9% | Slovenia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher share of population living in urban areas, Niger or Slovenia?
- Slovenia, at 50.3% against 49.4% in Niger as of 2020.
- What is the difference in share of population living in urban areas between Niger and Slovenia?
- 0.9%, with Slovenia ahead.
- How many years of comparable data are there for Niger and Slovenia?
- 15 years are reported by both, from 1950 to 2020.
- How do Niger and Slovenia rank globally for share of population living in urban areas?
- Niger ranks 208th and Slovenia ranks 206th 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 urban 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 urban areas (the sum of cities and towns and suburbs). Urban areas are identified using satellite imagery and population data, applying the same definitions across countries.