Gabon vs Uruguay: Share of urban population who live in the largest city
Gabon
45.0%
in 2020
Uruguay
42.5%
in 2020
Gabon rank
36th
Uruguay rank
39th
Share of urban population who live in the largest city over time
- Gabon
- Uruguay
How they compare
Gabon currently reports 45.0% against 42.5% in Uruguay, a difference of 2.5%.
That makes Gabon's figure about 1.1 times Uruguay's.
The two have swapped places 1 time across 11 shared years of data; in 1970 it was Uruguay ahead.
Gabon ranks 36th and Uruguay ranks 39th of 179 countries.
Across the 6 decades both report, Gabon averaged higher in 1 and Uruguay in 5.
Head to head by decade
| Decade | Gabon | Uruguay | Difference | Ahead |
|---|---|---|---|---|
| 1970s | 15.7% | 55.5% | 39.8% | Uruguay |
| 1980s | 32.6% | 54.6% | 22.1% | Uruguay |
| 1990s | 40.2% | 51.5% | 11.3% | Uruguay |
| 2000s | 42.3% | 47.1% | 4.8% | Uruguay |
| 2010s | 39.4% | 44.6% | 5.2% | Uruguay |
| 2020s | 45.0% | 42.5% | 2.5% | Gabon |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher share of urban population who live in the largest city, Gabon or Uruguay?
- Gabon, at 45.0% against 42.5% in Uruguay as of 2020.
- What is the difference in share of urban population who live in the largest city between Gabon and Uruguay?
- 2.5%, with Gabon ahead.
- How many years of comparable data are there for Gabon and Uruguay?
- 11 years are reported by both, from 1970 to 2020.
- How do Gabon and Uruguay rank globally for share of urban population who live in the largest city?
- Gabon ranks 36th and Uruguay ranks 39th of 179 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 urban population who live in the largest city. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Percentage of the urban population living in the country's largest city (by population). City boundaries are defined using a consistent global approach based on satellite imagery and population data.