Congo vs Kuwait: Share of population living in cities, towns and rural areas
Congo
84.7%
in 2020
Kuwait
88.0%
in 2020
Congo rank
9th
Kuwait rank
8th
Share of population living in cities, towns and rural areas over time
- Congo
- Kuwait
How they compare
Kuwait currently reports 88.0% against 84.7% in Congo, a difference of 3.3%.
The two have swapped places 1 time across 15 shared years of data; in 1950 it was Congo ahead.
Congo ranks 9th and Kuwait ranks 8th of 236 countries.
Across the 8 decades both report, Congo averaged higher in 1 and Kuwait in 7.
Head to head by decade
| Decade | Congo | Kuwait | Difference | Ahead |
|---|---|---|---|---|
| 1950s | 42.4% | 38.8% | 3.6% | Congo |
| 1960s | 50.9% | 55.6% | 4.7% | Kuwait |
| 1970s | 68.3% | 75.6% | 7.3% | Kuwait |
| 1980s | 73.6% | 85.0% | 11.4% | Kuwait |
| 1990s | 68.1% | 83.5% | 15.4% | Kuwait |
| 2000s | 68.4% | 84.2% | 15.8% | Kuwait |
| 2010s | 74.6% | 87.2% | 12.7% | Kuwait |
| 2020s | 84.7% | 88.0% | 3.3% | Kuwait |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher share of population living in cities, towns and rural areas, Congo or Kuwait?
- Kuwait, at 88.0% against 84.7% in Congo as of 2020.
- What is the difference in share of population living in cities, towns and rural areas between Congo and Kuwait?
- 3.3%, with Kuwait ahead.
- How many years of comparable data are there for Congo and Kuwait?
- 15 years are reported by both, from 1950 to 2020.
- How do Congo and Kuwait rank globally for share of population living in cities, towns and rural areas?
- Congo ranks 9th and Kuwait ranks 8th 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 cities, towns 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 cities. Cities are identified using satellite imagery and population data, applying the same definitions across countries.