Congo vs Qatar: Share of population living in cities with more than 1 million residents
Congo
82.7%
in 2020
Qatar
70.7%
in 2020
Congo rank
4th
Qatar rank
6th
Share of population living in cities with more than 1 million residents over time
- Congo
- Qatar
How they compare
Congo currently reports 82.7% against 70.7% in Qatar, a difference of 12.0%.
That makes Congo's figure about 1.2 times Qatar's.
The two have swapped places 3 times across 8 shared years of data; in 1985 it was Qatar ahead.
Congo ranks 4th and Qatar ranks 6th of 180 countries.
Across the 5 decades both report, Congo averaged higher in 3 and Qatar in 1.
Head to head by decade
| Decade | Congo | Qatar | Difference | Ahead |
|---|---|---|---|---|
| 1980s | 0.0% | 0.0% | 0.0% | — |
| 1990s | 41.9% | 0.0% | 41.9% | Congo |
| 2000s | 40.4% | 0.0% | 40.4% | Congo |
| 2010s | 58.5% | 65.3% | 6.9% | Qatar |
| 2020s | 82.7% | 70.7% | 12.0% | Congo |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher share of population living in cities with more than 1 million residents, Congo or Qatar?
- Congo, at 82.7% against 70.7% in Qatar as of 2020.
- What is the difference in share of population living in cities with more than 1 million residents between Congo and Qatar?
- 12.0%, with Congo ahead.
- How many years of comparable data are there for Congo and Qatar?
- 8 years are reported by both, from 1985 to 2020.
- How do Congo and Qatar rank globally for share of population living in cities with more than 1 million residents?
- Congo ranks 4th and Qatar ranks 6th of 180 countries.
- Where does this data come from?
- European Commission, Joint Research Centre (JRC) (2025) – with minor processing by Our World in Data, published as Share of population living in cities with more than 1 million residents. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Percentage of the total population living in cities with 1 million or more people. City boundaries are defined using a consistent global approach based on satellite imagery and population data.