Myanmar vs Uganda: Share of population living in urban areas
Myanmar
69.4%
in 2020
Uganda
69.6%
in 2020
Myanmar rank
146th
Uganda rank
145th
Share of population living in urban areas over time
- Myanmar
- Uganda
How they compare
Uganda currently reports 69.6% against 69.4% in Myanmar, a difference of 0.2%.
The two have swapped places 1 time across 15 shared years of data; in 1950 it was Myanmar ahead.
Myanmar ranks 146th and Uganda ranks 145th of 236 countries.
Across the 8 decades both report, Myanmar averaged higher in 7 and Uganda in 1.
Head to head by decade
| Decade | Myanmar | Uganda | Difference | Ahead |
|---|---|---|---|---|
| 1950s | 53.0% | 15.5% | 37.5% | Myanmar |
| 1960s | 57.5% | 20.2% | 37.4% | Myanmar |
| 1970s | 62.3% | 26.0% | 36.3% | Myanmar |
| 1980s | 63.4% | 30.7% | 32.7% | Myanmar |
| 1990s | 64.9% | 39.3% | 25.6% | Myanmar |
| 2000s | 67.9% | 48.5% | 19.3% | Myanmar |
| 2010s | 68.9% | 58.7% | 10.3% | Myanmar |
| 2020s | 69.4% | 69.6% | 0.2% | Uganda |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher share of population living in urban areas, Myanmar or Uganda?
- Uganda, at 69.6% against 69.4% in Myanmar as of 2020.
- What is the difference in share of population living in urban areas between Myanmar and Uganda?
- 0.2%, with Uganda ahead.
- How many years of comparable data are there for Myanmar and Uganda?
- 15 years are reported by both, from 1950 to 2020.
- How do Myanmar and Uganda rank globally for share of population living in urban areas?
- Myanmar ranks 146th and Uganda ranks 145th 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.