San Marino vs Tuvalu: Age population, age 10, male, interpolated
San Marino
149
in 2025
Tuvalu
114
in 2025
San Marino rank
215th
Tuvalu rank
217th
Age population, age 10, male, interpolated over time
- San Marino
- Tuvalu
How they compare
San Marino currently reports 149 against 114 in Tuvalu, a difference of 35.
That makes San Marino's figure about 1.3 times Tuvalu's.
The two have swapped places 2 times across 66 shared years of data; in 1960 it was San Marino ahead.
San Marino ranks 215th and Tuvalu ranks 217th of 217 countries.
San Marino has averaged higher in every one of the 7 decades both report.
Head to head by decade
| Decade | San Marino | Tuvalu | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 140.6 | 80.4 | 60.2 | San Marino |
| 1970s | 184.4 | 88.7 | 95.7 | San Marino |
| 1980s | 157.1 | 72.4 | 84.7 | San Marino |
| 1990s | 128.8 | 108.1 | 20.7 | San Marino |
| 2000s | 144.2 | 120.8 | 23.4 | San Marino |
| 2010s | 178.4 | 115 | 63.4 | San Marino |
| 2020s | 169.83 | 110.83 | 59 | San Marino |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher age population, age 10, male, interpolated, San Marino or Tuvalu?
- San Marino, at 149 against 114 in Tuvalu as of 2025.
- What is the difference in age population, age 10, male, interpolated between San Marino and Tuvalu?
- 35, with San Marino ahead.
- How many years of comparable data are there for San Marino and Tuvalu?
- 66 years are reported by both, from 1960 to 2025.
- How do San Marino and Tuvalu rank globally for age population, age 10, male, interpolated?
- San Marino ranks 215th and Tuvalu ranks 217th of 217 countries.
- Where does this data come from?
- United Nations Population Division. World Population Prospects: 2022 Revision, published as Age population, age 10, male, interpolated. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Age population, male refers to male population at the specified age level. The geographical areas included in the data are the same as the data source.