Comoros vs Lithuania: Age population, age 03, male, interpolated
Comoros
11,575
in 2025
Lithuania
12,180
in 2025
Comoros rank
150th
Lithuania rank
149th
Age population, age 03, male, interpolated over time
- Comoros
- Lithuania
How they compare
Lithuania currently reports 12,180 against 11,575 in Comoros, a difference of 605.
That makes Lithuania's figure about 1.1 times Comoros's.
Across all 66 years both countries report, Lithuania has been ahead every year.
Comoros ranks 150th and Lithuania ranks 149th of 218 countries.
Lithuania has averaged higher in every one of the 7 decades both report.
Head to head by decade
| Decade | Comoros | Lithuania | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 3,683 | 28,982 | 25,299 | Lithuania |
| 1970s | 4,960 | 27,085 | 22,125 | Lithuania |
| 1980s | 6,890 | 27,741 | 20,850 | Lithuania |
| 1990s | 8,601 | 25,979 | 17,378 | Lithuania |
| 2000s | 9,324 | 16,375 | 7,052 | Lithuania |
| 2010s | 10,400 | 15,247 | 4,847 | Lithuania |
| 2020s | 11,360 | 14,022 | 2,662 | Lithuania |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher age population, age 03, male, interpolated, Comoros or Lithuania?
- Lithuania, at 12,180 against 11,575 in Comoros as of 2025.
- What is the difference in age population, age 03, male, interpolated between Comoros and Lithuania?
- 605, with Lithuania ahead.
- How many years of comparable data are there for Comoros and Lithuania?
- 66 years are reported by both, from 1960 to 2025.
- How do Comoros and Lithuania rank globally for age population, age 03, male, interpolated?
- Comoros ranks 150th and Lithuania ranks 149th of 218 countries.
- Where does this data come from?
- United Nations Population Division. World Population Prospects, published as Age population, age 03, 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.