Kuwait vs Malta: Share of population living in urban and rural areas
Kuwait
96.2%
in 2020
Malta
95.1%
in 2020
Kuwait rank
12th
Malta rank
14th
Share of population living in urban and rural areas over time
- Kuwait
- Malta
How they compare
Kuwait currently reports 96.2% against 95.1% in Malta, a difference of 1.1%.
The two have swapped places 1 time across 15 shared years of data; in 1950 it was Malta ahead.
Kuwait ranks 12th and Malta ranks 14th of 236 countries.
Across the 8 decades both report, Kuwait averaged higher in 6 and Malta in 2.
Head to head by decade
| Decade | Kuwait | Malta | Difference | Ahead |
|---|---|---|---|---|
| 1950s | 87.7% | 90.6% | 2.8% | Malta |
| 1960s | 91.2% | 91.2% | 0.0% | Malta |
| 1970s | 94.4% | 91.0% | 3.4% | Kuwait |
| 1980s | 95.6% | 91.9% | 3.7% | Kuwait |
| 1990s | 95.9% | 93.1% | 2.8% | Kuwait |
| 2000s | 95.0% | 94.1% | 0.9% | Kuwait |
| 2010s | 96.0% | 94.2% | 1.8% | Kuwait |
| 2020s | 96.2% | 95.1% | 1.1% | Kuwait |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher share of population living in urban and rural areas, Kuwait or Malta?
- Kuwait, at 96.2% against 95.1% in Malta as of 2020.
- What is the difference in share of population living in urban and rural areas between Kuwait and Malta?
- 1.1%, with Kuwait ahead.
- How many years of comparable data are there for Kuwait and Malta?
- 15 years are reported by both, from 1950 to 2020.
- How do Kuwait and Malta rank globally for share of population living in urban and rural areas?
- Kuwait ranks 12th and Malta ranks 14th 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.