Guatemala vs Peru: Share of population living in urban areas
Guatemala
72.9%
in 2020
Peru
73.0%
in 2020
Guatemala rank
126th
Peru rank
125th
Share of population living in urban areas over time
- Guatemala
- Peru
How they compare
Peru currently reports 73.0% against 72.9% in Guatemala, a difference of 0.1%.
The two have swapped places 1 time across 15 shared years of data; in 1950 it was Guatemala ahead.
Guatemala ranks 126th and Peru ranks 125th of 236 countries.
Across the 8 decades both report, Guatemala averaged higher in 7 and Peru in 1.
Head to head by decade
| Decade | Guatemala | Peru | Difference | Ahead |
|---|---|---|---|---|
| 1950s | 51.2% | 42.4% | 8.8% | Guatemala |
| 1960s | 56.2% | 49.4% | 6.8% | Guatemala |
| 1970s | 61.1% | 56.4% | 4.7% | Guatemala |
| 1980s | 64.6% | 60.4% | 4.2% | Guatemala |
| 1990s | 68.6% | 63.7% | 4.9% | Guatemala |
| 2000s | 72.0% | 67.6% | 4.5% | Guatemala |
| 2010s | 73.0% | 71.5% | 1.6% | Guatemala |
| 2020s | 72.9% | 73.0% | 0.1% | Peru |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher share of population living in urban areas, Guatemala or Peru?
- Peru, at 73.0% against 72.9% in Guatemala as of 2020.
- What is the difference in share of population living in urban areas between Guatemala and Peru?
- 0.1%, with Peru ahead.
- How many years of comparable data are there for Guatemala and Peru?
- 15 years are reported by both, from 1950 to 2020.
- How do Guatemala and Peru rank globally for share of population living in urban areas?
- Guatemala ranks 126th and Peru ranks 125th 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.