Low income vs Tanzania: Population ages 35-39, male
Low income
20.73 million
in 2025
Tanzania
1.89 million
in 2025
Low income rank
31st
Tanzania rank
28th
Population ages 35-39, male over time
- Low income
- Tanzania
How they compare
Low income currently reports 20.73 million against 1.89 million in Tanzania, a difference of 18.84 million.
That makes Low income's figure about 11.0 times Tanzania's.
Across all 66 years both countries report, Low income has been ahead every year.
Low income ranks 31st and Tanzania ranks 28th of 43 groups.
Low income has averaged higher in every one of the 7 decades both report.
Head to head by decade
| Decade | Low income | Tanzania | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 3.92 million | 282,730 | 3.64 million | Low income |
| 1970s | 4.99 million | 398,498 | 4.59 million | Low income |
| 1980s | 6.11 million | 565,187 | 5.54 million | Low income |
| 1990s | 7.96 million | 648,086 | 7.31 million | Low income |
| 2000s | 10.97 million | 921,876 | 10.05 million | Low income |
| 2010s | 14.52 million | 1.33 million | 13.19 million | Low income |
| 2020s | 18.91 million | 1.73 million | 17.17 million | Low income |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher population ages 35-39, male, Low income or Tanzania?
- Low income, at 20.73 million against 1.89 million in Tanzania as of 2025.
- What is the difference in population ages 35-39, male between Low income and Tanzania?
- 18.84 million, with Low income ahead.
- How many years of comparable data are there for Low income and Tanzania?
- 66 years are reported by both, from 1960 to 2025.
- How do Low income and Tanzania rank globally for population ages 35-39, male?
- Low income ranks 31st and Tanzania ranks 28th of 43 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 35-39, male. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Male population between the ages 35 to 39.