Belize vs Maldives: Share of population living in urban areas
Belize
56.1%
in 2020
Maldives
56.5%
in 2020
Belize rank
192nd
Maldives rank
191st
Share of population living in urban areas over time
- Belize
- Maldives
How they compare
Maldives currently reports 56.5% against 56.1% in Belize, a difference of 0.4%.
The two have swapped places 1 time across 15 shared years of data; in 1950 it was Belize ahead.
Belize ranks 192nd and Maldives ranks 191st of 236 countries.
Across the 8 decades both report, Belize averaged higher in 7 and Maldives in 1.
Head to head by decade
| Decade | Belize | Maldives | Difference | Ahead |
|---|---|---|---|---|
| 1950s | 38.4% | 13.4% | 25.1% | Belize |
| 1960s | 41.7% | 15.9% | 25.8% | Belize |
| 1970s | 44.6% | 20.2% | 24.4% | Belize |
| 1980s | 41.4% | 31.3% | 10.1% | Belize |
| 1990s | 52.2% | 40.8% | 11.5% | Belize |
| 2000s | 60.0% | 43.6% | 16.3% | Belize |
| 2010s | 58.9% | 49.3% | 9.6% | Belize |
| 2020s | 56.1% | 56.5% | 0.4% | Maldives |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher share of population living in urban areas, Belize or Maldives?
- Maldives, at 56.5% against 56.1% in Belize as of 2020.
- What is the difference in share of population living in urban areas between Belize and Maldives?
- 0.4%, with Maldives ahead.
- How many years of comparable data are there for Belize and Maldives?
- 15 years are reported by both, from 1950 to 2020.
- How do Belize and Maldives rank globally for share of population living in urban areas?
- Belize ranks 192nd and Maldives ranks 191st 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.