Panama vs Sweden: Share of population living in urban and rural areas
Panama
68.3%
in 2020
Sweden
68.8%
in 2020
Panama rank
151st
Sweden rank
148th
Share of population living in urban and rural areas over time
- Panama
- Sweden
How they compare
Sweden currently reports 68.8% against 68.3% in Panama, a difference of 0.5%.
Across all 15 years both countries report, Sweden has been ahead every year.
Panama ranks 151st and Sweden ranks 148th of 236 countries.
Sweden has averaged higher in every one of the 8 decades both report.
Head to head by decade
| Decade | Panama | Sweden | Difference | Ahead |
|---|---|---|---|---|
| 1950s | 39.8% | 60.3% | 20.6% | Sweden |
| 1960s | 44.4% | 61.5% | 17.2% | Sweden |
| 1970s | 49.7% | 62.6% | 12.9% | Sweden |
| 1980s | 53.5% | 62.4% | 8.9% | Sweden |
| 1990s | 59.1% | 63.4% | 4.3% | Sweden |
| 2000s | 64.3% | 65.2% | 1.0% | Sweden |
| 2010s | 66.5% | 67.2% | 0.7% | Sweden |
| 2020s | 68.3% | 68.8% | 0.5% | Sweden |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher share of population living in urban and rural areas, Panama or Sweden?
- Sweden, at 68.8% against 68.3% in Panama as of 2020.
- What is the difference in share of population living in urban and rural areas between Panama and Sweden?
- 0.5%, with Sweden ahead.
- How many years of comparable data are there for Panama and Sweden?
- 15 years are reported by both, from 1950 to 2020.
- How do Panama and Sweden rank globally for share of population living in urban and rural areas?
- Panama ranks 151st and Sweden ranks 148th 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.