Andorra vs Guatemala: Share of population living in rural areas
Andorra
26.6%
in 2020
Guatemala
27.1%
in 2020
Andorra rank
114th
Guatemala rank
111th
Share of population living in rural areas over time
- Andorra
- Guatemala
How they compare
Guatemala currently reports 27.1% against 26.6% in Andorra, a difference of 0.5%.
The two have swapped places 1 time across 15 shared years of data; in 1950 it was Andorra ahead.
Andorra ranks 114th and Guatemala ranks 111th of 236 countries.
Across the 8 decades both report, Andorra averaged higher in 1 and Guatemala in 7.
Head to head by decade
| Decade | Andorra | Guatemala | Difference | Ahead |
|---|---|---|---|---|
| 1950s | 100.0% | 48.8% | 51.2% | Andorra |
| 1960s | 41.7% | 43.8% | 2.1% | Guatemala |
| 1970s | 33.4% | 38.9% | 5.5% | Guatemala |
| 1980s | 27.3% | 35.4% | 8.1% | Guatemala |
| 1990s | 22.0% | 31.4% | 9.4% | Guatemala |
| 2000s | 22.8% | 28.0% | 5.2% | Guatemala |
| 2010s | 23.4% | 27.0% | 3.6% | Guatemala |
| 2020s | 26.6% | 27.1% | 0.5% | Guatemala |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher share of population living in rural areas, Andorra or Guatemala?
- Guatemala, at 27.1% against 26.6% in Andorra as of 2020.
- What is the difference in share of population living in rural areas between Andorra and Guatemala?
- 0.5%, with Guatemala ahead.
- How many years of comparable data are there for Andorra and Guatemala?
- 15 years are reported by both, from 1950 to 2020.
- How do Andorra and Guatemala rank globally for share of population living in rural areas?
- Andorra ranks 114th and Guatemala ranks 111th 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 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 rural areas. Rural areas are identified using satellite imagery and population data, applying the same definitions across countries.