Guam vs Jordan: Share of population living in urban areas projected to 2050
Guam
94.2%
in 2025
Jordan
93.2%
in 2025
Guam rank
29th
Jordan rank
31st
Share of population living in urban areas projected to 2050 over time
- Guam
- Jordan
How they compare
Guam currently reports 94.2% against 93.2% in Jordan, a difference of 1.0%.
The two have swapped places 3 times across 76 shared years of data; in 1950 it was Jordan ahead.
Guam ranks 29th and Jordan ranks 31st of 238 countries.
Across the 8 decades both report, Guam averaged higher in 7 and Jordan in 1.
Head to head by decade
| Decade | Guam | Jordan | Difference | Ahead |
|---|---|---|---|---|
| 1950s | 36.5% | 38.0% | 1.6% | Jordan |
| 1960s | 85.4% | 46.4% | 39.1% | Guam |
| 1970s | 88.8% | 54.6% | 34.1% | Guam |
| 1980s | 89.5% | 66.7% | 22.9% | Guam |
| 1990s | 91.9% | 77.6% | 14.3% | Guam |
| 2000s | 93.7% | 78.9% | 14.8% | Guam |
| 2010s | 94.1% | 87.9% | 6.1% | Guam |
| 2020s | 94.1% | 92.5% | 1.6% | Guam |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher share of population living in urban areas projected to 2050, Guam or Jordan?
- Guam, at 94.2% against 93.2% in Jordan as of 2025.
- What is the difference in share of population living in urban areas projected to 2050 between Guam and Jordan?
- 1.0%, with Guam ahead.
- How many years of comparable data are there for Guam and Jordan?
- 76 years are reported by both, from 1950 to 2025.
- How do Guam and Jordan rank globally for share of population living in urban areas projected to 2050?
- Guam ranks 29th and Jordan ranks 31st of 238 countries.
- Where does this data come from?
- HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025) – with minor processing by Our World in Data, published as Share of population living in urban areas projected to 2050. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Share of the population living in urban areas, combining UN estimates with modelled historical data.