Latvia vs Maldives: Share of population living in urban and rural areas
Latvia
57.1%
in 2020
Maldives
56.5%
in 2020
Latvia rank
190th
Maldives rank
191st
Share of population living in urban and rural areas over time
- Latvia
- Maldives
How they compare
Latvia currently reports 57.1% against 56.5% in Maldives, a difference of 0.6%.
Across all 15 years both countries report, Latvia has been ahead every year.
Latvia ranks 190th and Maldives ranks 191st of 236 countries.
Latvia has averaged higher in every one of the 8 decades both report.
Head to head by decade
| Decade | Latvia | Maldives | Difference | Ahead |
|---|---|---|---|---|
| 1950s | 51.5% | 13.4% | 38.2% | Latvia |
| 1960s | 55.2% | 15.9% | 39.3% | Latvia |
| 1970s | 58.3% | 20.2% | 38.1% | Latvia |
| 1980s | 60.6% | 31.3% | 29.3% | Latvia |
| 1990s | 60.5% | 40.8% | 19.8% | Latvia |
| 2000s | 59.4% | 43.6% | 15.7% | Latvia |
| 2010s | 58.0% | 49.3% | 8.8% | Latvia |
| 2020s | 57.1% | 56.5% | 0.7% | Latvia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher share of population living in urban and rural areas, Latvia or Maldives?
- Latvia, at 57.1% against 56.5% in Maldives as of 2020.
- What is the difference in share of population living in urban and rural areas between Latvia and Maldives?
- 0.6%, with Latvia ahead.
- How many years of comparable data are there for Latvia and Maldives?
- 15 years are reported by both, from 1950 to 2020.
- How do Latvia and Maldives rank globally for share of population living in urban and rural areas?
- Latvia ranks 190th 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 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.