Comoros vs Lithuania: Age population, age 04, male, interpolated
Comoros
11,459
in 2025
Lithuania
13,124
in 2025
Comoros rank
151st
Lithuania rank
149th
Age population, age 04, male, interpolated over time
- Comoros
- Lithuania
How they compare
Lithuania currently reports 13,124 against 11,459 in Comoros, a difference of 1,665.
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 151st 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 | 3,515 | 28,938 | 25,423 | Lithuania |
| 1970s | 4,771 | 27,294 | 22,522 | Lithuania |
| 1980s | 6,602 | 27,414 | 20,811 | Lithuania |
| 1990s | 8,464 | 26,887 | 18,422 | Lithuania |
| 2000s | 9,275 | 16,835 | 7,560 | Lithuania |
| 2010s | 10,164 | 14,950 | 4,787 | Lithuania |
| 2020s | 11,204 | 14,699 | 3,495 | Lithuania |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher age population, age 04, male, interpolated, Comoros or Lithuania?
- Lithuania, at 13,124 against 11,459 in Comoros as of 2025.
- What is the difference in age population, age 04, male, interpolated between Comoros and Lithuania?
- 1,665, 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 04, male, interpolated?
- Comoros ranks 151st 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 04, 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.