Niger vs Timor-Leste: Share of population living in rural areas
Niger
50.6%
in 2020
Timor-Leste
50.6%
in 2020
Niger rank
29th
Timor-Leste rank
27th
Share of population living in rural areas over time
- Niger
- Timor-Leste
How they compare
Timor-Leste currently reports 50.6% against 50.6% in Niger, a difference of 0.0%.
Across all 15 years both countries report, Timor-Leste has been ahead every year.
Niger ranks 29th and Timor-Leste ranks 27th of 236 countries.
Timor-Leste has averaged higher in every one of the 8 decades both report.
Head to head by decade
| Decade | Niger | Timor-Leste | Difference | Ahead |
|---|---|---|---|---|
| 1950s | 71.6% | 88.3% | 16.7% | Timor-Leste |
| 1960s | 67.7% | 85.6% | 17.9% | Timor-Leste |
| 1970s | 63.7% | 81.9% | 18.2% | Timor-Leste |
| 1980s | 60.0% | 76.3% | 16.3% | Timor-Leste |
| 1990s | 54.3% | 69.8% | 15.5% | Timor-Leste |
| 2000s | 49.7% | 69.1% | 19.4% | Timor-Leste |
| 2010s | 48.9% | 58.8% | 9.9% | Timor-Leste |
| 2020s | 50.6% | 50.6% | 0.0% | Timor-Leste |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher share of population living in rural areas, Niger or Timor-Leste?
- Timor-Leste, at 50.6% against 50.6% in Niger as of 2020.
- What is the difference in share of population living in rural areas between Niger and Timor-Leste?
- 0.0%, with Timor-Leste ahead.
- How many years of comparable data are there for Niger and Timor-Leste?
- 15 years are reported by both, from 1950 to 2020.
- How do Niger and Timor-Leste rank globally for share of population living in rural areas?
- Niger ranks 29th and Timor-Leste ranks 27th 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.