Myanmar vs Uganda: Share of population living in rural areas
Myanmar
30.6%
in 2020
Uganda
30.4%
in 2020
Myanmar rank
91st
Uganda rank
92nd
Share of population living in rural areas over time
- Myanmar
- Uganda
How they compare
Myanmar currently reports 30.6% against 30.4% in Uganda, a difference of 0.2%.
The two have swapped places 1 time across 15 shared years of data; in 1950 it was Uganda ahead.
Myanmar ranks 91st and Uganda ranks 92nd of 236 countries.
Across the 8 decades both report, Myanmar averaged higher in 1 and Uganda in 7.
Head to head by decade
| Decade | Myanmar | Uganda | Difference | Ahead |
|---|---|---|---|---|
| 1950s | 47.0% | 84.5% | 37.5% | Uganda |
| 1960s | 42.5% | 79.8% | 37.4% | Uganda |
| 1970s | 37.7% | 74.0% | 36.3% | Uganda |
| 1980s | 36.6% | 69.3% | 32.7% | Uganda |
| 1990s | 35.1% | 60.7% | 25.6% | Uganda |
| 2000s | 32.1% | 51.5% | 19.3% | Uganda |
| 2010s | 31.1% | 41.3% | 10.3% | Uganda |
| 2020s | 30.6% | 30.4% | 0.2% | Myanmar |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher share of population living in rural areas, Myanmar or Uganda?
- Myanmar, at 30.6% against 30.4% in Uganda as of 2020.
- What is the difference in share of population living in rural areas between Myanmar and Uganda?
- 0.2%, with Myanmar 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 rural areas?
- Myanmar ranks 91st and Uganda ranks 92nd of 236 countries.
- Where does this data come from?
- European Commission, Joint Research Centre (JRC) (2025) β with major processing by Our World in Data, published as Share of population living in 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 rural areas. Rural areas are identified using satellite imagery and population data, applying the same definitions across countries.