Grenada vs Jamaica: Share of population living in urban areas
Grenada
72.5%
in 2020
Jamaica
72.4%
in 2020
Grenada rank
131st
Jamaica rank
133rd
Share of population living in urban areas over time
- Grenada
- Jamaica
How they compare
Grenada currently reports 72.5% against 72.4% in Jamaica, a difference of 0.1%.
The two have swapped places 1 time across 15 shared years of data; in 1950 it was Jamaica ahead.
Grenada ranks 131st and Jamaica ranks 133rd of 236 countries.
Across the 8 decades both report, Grenada averaged higher in 1 and Jamaica in 7.
Head to head by decade
| Decade | Grenada | Jamaica | Difference | Ahead |
|---|---|---|---|---|
| 1950s | 64.1% | 66.3% | 2.2% | Jamaica |
| 1960s | 67.3% | 69.5% | 2.2% | Jamaica |
| 1970s | 67.1% | 71.9% | 4.8% | Jamaica |
| 1980s | 66.0% | 73.6% | 7.6% | Jamaica |
| 1990s | 67.3% | 74.5% | 7.2% | Jamaica |
| 2000s | 73.1% | 75.6% | 2.5% | Jamaica |
| 2010s | 69.9% | 74.8% | 4.8% | Jamaica |
| 2020s | 72.5% | 72.4% | 0.1% | Grenada |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher share of population living in urban areas, Grenada or Jamaica?
- Grenada, at 72.5% against 72.4% in Jamaica as of 2020.
- What is the difference in share of population living in urban areas between Grenada and Jamaica?
- 0.1%, with Grenada ahead.
- How many years of comparable data are there for Grenada and Jamaica?
- 15 years are reported by both, from 1950 to 2020.
- How do Grenada and Jamaica rank globally for share of population living in urban areas?
- Grenada ranks 131st and Jamaica ranks 133rd 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.