Eswatini vs Lithuania: Age population, age 17, female, interpolated
Eswatini
13,192
in 2025
Lithuania
13,635
in 2025
Eswatini rank
150th
Lithuania rank
149th
Age population, age 17, female, interpolated over time
- Eswatini
- Lithuania
How they compare
Lithuania currently reports 13,635 against 13,192 in Eswatini, a difference of 443.
The two have swapped places 2 times across 66 shared years of data; in 1960 it was Lithuania ahead.
Eswatini ranks 150th and Lithuania ranks 149th of 217 countries.
Lithuania has averaged higher in every one of the 7 decades both report.
Head to head by decade
| Decade | Eswatini | Lithuania | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 4,197 | 22,402 | 18,205 | Lithuania |
| 1970s | 5,621 | 26,862 | 21,241 | Lithuania |
| 1980s | 7,572 | 27,299 | 19,728 | Lithuania |
| 1990s | 11,054 | 25,379 | 14,325 | Lithuania |
| 2000s | 13,955 | 25,276 | 11,321 | Lithuania |
| 2010s | 12,976 | 16,886 | 3,911 | Lithuania |
| 2020s | 12,846 | 13,091 | 245.17 | Lithuania |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher age population, age 17, female, interpolated, Eswatini or Lithuania?
- Lithuania, at 13,635 against 13,192 in Eswatini as of 2025.
- What is the difference in age population, age 17, female, interpolated between Eswatini and Lithuania?
- 443, with Lithuania ahead.
- How many years of comparable data are there for Eswatini and Lithuania?
- 66 years are reported by both, from 1960 to 2025.
- How do Eswatini and Lithuania rank globally for age population, age 17, female, interpolated?
- Eswatini ranks 150th and Lithuania ranks 149th of 217 countries.
- Where does this data come from?
- United Nations Population Division. World Population Prospects: 2022 Revision, published as Age population, age 17, female, interpolated. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Age population, female refers to female population at the specified age level. The geographical areas included in the data are the same as the data source.