Guatemala vs Nepal: Share of population living in urban areas
Guatemala
72.9%
in 2020
Nepal
72.6%
in 2020
Guatemala rank
126th
Nepal rank
129th
Share of population living in urban areas over time
- Guatemala
- Nepal
How they compare
Guatemala currently reports 72.9% against 72.6% in Nepal, a difference of 0.3%.
Across all 15 years both countries report, Guatemala has been ahead every year.
Guatemala ranks 126th and Nepal ranks 129th of 236 countries.
Guatemala has averaged higher in every one of the 8 decades both report.
Head to head by decade
| Decade | Guatemala | Nepal | Difference | Ahead |
|---|---|---|---|---|
| 1950s | 51.2% | 32.8% | 18.4% | Guatemala |
| 1960s | 56.2% | 37.3% | 18.9% | Guatemala |
| 1970s | 61.1% | 42.5% | 18.6% | Guatemala |
| 1980s | 64.6% | 51.6% | 13.0% | Guatemala |
| 1990s | 68.6% | 60.8% | 7.8% | Guatemala |
| 2000s | 72.0% | 68.0% | 4.1% | Guatemala |
| 2010s | 73.0% | 70.7% | 2.3% | Guatemala |
| 2020s | 72.9% | 72.6% | 0.3% | Guatemala |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher share of population living in urban areas, Guatemala or Nepal?
- Guatemala, at 72.9% against 72.6% in Nepal as of 2020.
- What is the difference in share of population living in urban areas between Guatemala and Nepal?
- 0.3%, with Guatemala ahead.
- How many years of comparable data are there for Guatemala and Nepal?
- 15 years are reported by both, from 1950 to 2020.
- How do Guatemala and Nepal rank globally for share of population living in urban areas?
- Guatemala ranks 126th and Nepal ranks 129th 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 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.