Mali vs Timor-Leste: Share of population living in urban and rural areas
Mali
47.1%
in 2020
Timor-Leste
49.4%
in 2020
Mali rank
211th
Timor-Leste rank
210th
Share of population living in urban and rural areas over time
- Mali
- Timor-Leste
How they compare
Timor-Leste currently reports 49.4% against 47.1% in Mali, a difference of 2.3%.
The two have swapped places 1 time across 15 shared years of data; in 1950 it was Mali ahead.
Mali ranks 211th and Timor-Leste ranks 210th of 236 countries.
Across the 8 decades both report, Mali averaged higher in 7 and Timor-Leste in 1.
Head to head by decade
| Decade | Mali | Timor-Leste | Difference | Ahead |
|---|---|---|---|---|
| 1950s | 29.1% | 11.7% | 17.5% | Mali |
| 1960s | 29.9% | 14.4% | 15.6% | Mali |
| 1970s | 31.2% | 18.1% | 13.1% | Mali |
| 1980s | 31.7% | 23.7% | 8.0% | Mali |
| 1990s | 33.5% | 30.2% | 3.3% | Mali |
| 2000s | 38.6% | 30.9% | 7.7% | Mali |
| 2010s | 43.7% | 41.2% | 2.5% | Mali |
| 2020s | 47.1% | 49.4% | 2.3% | Timor-Leste |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher share of population living in urban and rural areas, Mali or Timor-Leste?
- Timor-Leste, at 49.4% against 47.1% in Mali as of 2020.
- What is the difference in share of population living in urban and rural areas between Mali and Timor-Leste?
- 2.3%, with Timor-Leste ahead.
- How many years of comparable data are there for Mali and Timor-Leste?
- 15 years are reported by both, from 1950 to 2020.
- How do Mali and Timor-Leste rank globally for share of population living in urban and rural areas?
- Mali ranks 211th and Timor-Leste ranks 210th 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 and 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 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.