Low income vs Uganda: Population ages 30-34, female
Low income
25.67 million
in 2025
Uganda
1.81 million
in 2025
Low income rank
29th
Uganda rank
29th
Population ages 30-34, female over time
- Low income
- Uganda
How they compare
Low income currently reports 25.67 million against 1.81 million in Uganda, a difference of 23.86 million.
That makes Low income's figure about 14.2 times Uganda's.
Across all 66 years both countries report, Low income has been ahead every year.
Low income ranks 29th and Uganda ranks 29th of 41 groups.
Low income has averaged higher in every one of the 7 decades both report.
Head to head by decade
| Decade | Low income | Uganda | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 4.96 million | 268,835 | 4.69 million | Low income |
| 1970s | 6.17 million | 284,371 | 5.88 million | Low income |
| 1980s | 7.58 million | 425,813 | 7.16 million | Low income |
| 1990s | 10.31 million | 598,921 | 9.71 million | Low income |
| 2000s | 13.56 million | 793,792 | 12.77 million | Low income |
| 2010s | 17.96 million | 1.05 million | 16.91 million | Low income |
| 2020s | 23.48 million | 1.61 million | 21.87 million | Low income |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher population ages 30-34, female, Low income or Uganda?
- Low income, at 25.67 million against 1.81 million in Uganda as of 2025.
- What is the difference in population ages 30-34, female between Low income and Uganda?
- 23.86 million, with Low income ahead.
- How many years of comparable data are there for Low income and Uganda?
- 66 years are reported by both, from 1960 to 2025.
- How do Low income and Uganda rank globally for population ages 30-34, female?
- Low income ranks 29th and Uganda ranks 29th of 41 groups.
- Where does this data come from?
- World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects, published as Population ages 30-34, female. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Female population between the ages 30 to 34.