Guinea vs Moldova: Share of population living in urban areas
Guinea
53.6%
in 2020
Moldova
53.4%
in 2020
Guinea rank
199th
Moldova rank
202nd
Share of population living in urban areas over time
- Guinea
- Moldova
How they compare
Guinea currently reports 53.6% against 53.4% in Moldova, a difference of 0.2%.
The two have swapped places 1 time across 15 shared years of data; in 1950 it was Moldova ahead.
Guinea ranks 199th and Moldova ranks 202nd of 236 countries.
Across the 8 decades both report, Guinea averaged higher in 1 and Moldova in 7.
Head to head by decade
| Decade | Guinea | Moldova | Difference | Ahead |
|---|---|---|---|---|
| 1950s | 34.2% | 50.7% | 16.5% | Moldova |
| 1960s | 36.1% | 55.6% | 19.4% | Moldova |
| 1970s | 38.6% | 59.2% | 20.6% | Moldova |
| 1980s | 38.8% | 61.3% | 22.4% | Moldova |
| 1990s | 41.7% | 61.7% | 20.0% | Moldova |
| 2000s | 46.4% | 60.5% | 14.2% | Moldova |
| 2010s | 51.1% | 56.6% | 5.5% | Moldova |
| 2020s | 53.6% | 53.4% | 0.2% | Guinea |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher share of population living in urban areas, Guinea or Moldova?
- Guinea, at 53.6% against 53.4% in Moldova as of 2020.
- What is the difference in share of population living in urban areas between Guinea and Moldova?
- 0.2%, with Guinea ahead.
- How many years of comparable data are there for Guinea and Moldova?
- 15 years are reported by both, from 1950 to 2020.
- How do Guinea and Moldova rank globally for share of population living in urban areas?
- Guinea ranks 199th and Moldova ranks 202nd 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.