Naoero vs Qatar: Share of population living in urban and rural areas
Naoero
92.4%
in 2020
Qatar
93.3%
in 2020
Naoero rank
21st
Qatar rank
20th
Share of population living in urban and rural areas over time
- Naoero
- Qatar
How they compare
Qatar currently reports 93.3% against 92.4% in Naoero, a difference of 0.9%.
The two have swapped places 2 times across 15 shared years of data; in 1950 it was Qatar ahead.
Naoero ranks 21st and Qatar ranks 20th of 236 countries.
Across the 8 decades both report, Naoero averaged higher in 3 and Qatar in 5.
Head to head by decade
| Decade | Naoero | Qatar | Difference | Ahead |
|---|---|---|---|---|
| 1950s | 0.0% | 57.7% | 57.7% | Qatar |
| 1960s | 0.0% | 60.6% | 60.6% | Qatar |
| 1970s | 82.2% | 67.4% | 14.9% | Naoero |
| 1980s | 84.7% | 75.5% | 9.2% | Naoero |
| 1990s | 87.4% | 81.5% | 5.9% | Naoero |
| 2000s | 86.1% | 87.3% | 1.2% | Qatar |
| 2010s | 89.6% | 93.1% | 3.5% | Qatar |
| 2020s | 92.4% | 93.3% | 1.0% | Qatar |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher share of population living in urban and rural areas, Naoero or Qatar?
- Qatar, at 93.3% against 92.4% in Naoero as of 2020.
- What is the difference in share of population living in urban and rural areas between Naoero and Qatar?
- 0.9%, with Qatar ahead.
- How many years of comparable data are there for Naoero and Qatar?
- 15 years are reported by both, from 1950 to 2020.
- How do Naoero and Qatar rank globally for share of population living in urban and rural areas?
- Naoero ranks 21st and Qatar ranks 20th 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.