Kuwait vs Monaco: Share of population living in urban areas projected to 2050
Kuwait
100.0%
in 2025
Monaco
100.0%
in 2025
Kuwait rank
1st
Monaco rank
1st
Share of population living in urban areas projected to 2050 over time
- Kuwait
- Monaco
How they compare
Kuwait currently reports 100.0% against 100.0% in Monaco, a difference of 0.0%.
Across all 76 years both countries report, Monaco has been ahead every year.
Kuwait ranks 1st and Monaco ranks 1st of 238 countries.
Monaco has averaged higher in every one of the 8 decades both report.
Head to head by decade
| Decade | Kuwait | Monaco | Difference | Ahead |
|---|---|---|---|---|
| 1950s | 68.6% | 100.0% | 31.4% | Monaco |
| 1960s | 78.3% | 100.0% | 21.7% | Monaco |
| 1970s | 87.8% | 100.0% | 12.2% | Monaco |
| 1980s | 97.2% | 100.0% | 2.8% | Monaco |
| 1990s | 98.2% | 100.0% | 1.8% | Monaco |
| 2000s | 99.7% | 100.0% | 0.3% | Monaco |
| 2010s | 100.0% | 100.0% | 0.0% | — |
| 2020s | 100.0% | 100.0% | 0.0% | — |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher share of population living in urban areas projected to 2050, Kuwait or Monaco?
- Kuwait, at 100.0% against 100.0% in Monaco as of 2025.
- What is the difference in share of population living in urban areas projected to 2050 between Kuwait and Monaco?
- 0.0%, with Kuwait ahead.
- How many years of comparable data are there for Kuwait and Monaco?
- 76 years are reported by both, from 1950 to 2025.
- How do Kuwait and Monaco rank globally for share of population living in urban areas projected to 2050?
- Kuwait ranks 1st and Monaco ranks 1st of 238 countries.
- Where does this data come from?
- HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025) – with minor processing by Our World in Data, published as Share of population living in urban areas projected to 2050. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Share of the population living in urban areas, combining UN estimates with modeled historical data.