Population ages 0-14, female, annual growth rate in Lithuania
Lithuania: Population ages 0-14, female, annual growth rate was -1.42 % change on previous year in 2025. ◆ Volatile
Population ages 0-14, female, annual growth rate in Lithuania, 1961–2025
Source: Statizoid (derived). Measured in % change on previous year.
Analysis
Lithuania recorded -1.42 % change on previous year for population ages 0-14, female, annual growth rate in 2025.
That represents a change of down 121.1% on the previous year and down 107.8% over ten years.
Over the whole period, population ages 0-14, female, annual growth rate in Lithuania peaked at 2.06 % change on previous year in 1961 and was at its lowest, -4.72 % change on previous year, in 2006.
That places Lithuania 156th out of 217 countries with data for 2025, putting it in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Population ages 0-14, female, annual growth rate in Lithuania, year by year
| Year | % change on previous year | Change |
|---|---|---|
| 1961 | 2.06 % change on previous year | — |
| 1962 | 1.95 % change on previous year | -5.3% |
| 1963 | 1.34 % change on previous year | -31.4% |
| 1964 | 0.9194 % change on previous year | -31.4% |
| 1965 | 0.7916 % change on previous year | -13.9% |
| 1966 | 0.9623 % change on previous year | +21.6% |
| 1967 | 1.18 % change on previous year | +22.9% |
| 1968 | 1.25 % change on previous year | +5.7% |
| 1969 | 0.909 % change on previous year | -27.3% |
| 1970 | 0.398 % change on previous year | -56.2% |
| 1971 | 0.2707 % change on previous year | -32.0% |
| 1972 | -0.1036 % change on previous year | -138.3% |
| 1973 | -0.7313 % change on previous year | +605.8% |
| 1974 | -1.01 % change on previous year | +37.6% |
| 1975 | -1.01 % change on previous year | +0.6% |
| 1976 | -1.01 % change on previous year | -0.1% |
| 1977 | -0.8759 % change on previous year | -13.3% |
| 1978 | -0.7008 % change on previous year | -20.0% |
| 1979 | -0.7234 % change on previous year | +3.2% |
| 1980 | -0.5969 % change on previous year | -17.5% |
| 1981 | -0.3741 % change on previous year | -37.3% |
| 1982 | -0.1824 % change on previous year | -51.3% |
| 1983 | 0.2246 % change on previous year | -223.1% |
| 1984 | 0.6122 % change on previous year | +172.6% |
| 1985 | 0.7858 % change on previous year | +28.4% |
| 1986 | 0.7832 % change on previous year | -0.3% |
| 1987 | 0.9114 % change on previous year | +16.4% |
| 1988 | 0.752 % change on previous year | -17.5% |
| 1989 | 0.6973 % change on previous year | -7.3% |
| 1990 | 0.4344 % change on previous year | -37.7% |
| 1991 | -0.1474 % change on previous year | -133.9% |
| 1992 | -0.5001 % change on previous year | +239.4% |
| 1993 | -1.16 % change on previous year | +132.4% |
| 1994 | -1.8 % change on previous year | +54.9% |
| 1995 | -2.02 % change on previous year | +12.0% |
| 1996 | -2 % change on previous year | -0.8% |
| 1997 | -2.13 % change on previous year | +6.7% |
| 1998 | -2.48 % change on previous year | +16.3% |
| 1999 | -2.78 % change on previous year | +11.9% |
| 2000 | -3.21 % change on previous year | +15.7% |
| 2001 | -3.96 % change on previous year | +23.3% |
| 2002 | -4.49 % change on previous year | +13.2% |
| 2003 | -4.49 % change on previous year | +0.2% |
| 2004 | -4.31 % change on previous year | -4.1% |
| 2005 | -4.64 % change on previous year | +7.6% |
| 2006 | -4.72 % change on previous year | +1.7% |
| 2007 | -4.44 % change on previous year | -5.8% |
| 2008 | -3.89 % change on previous year | -12.4% |
| 2009 | -2.81 % change on previous year | -27.7% |
| 2010 | -2.85 % change on previous year | +1.4% |
| 2011 | -2.87 % change on previous year | +0.6% |
| 2012 | -1.97 % change on previous year | -31.1% |
| 2013 | -1.42 % change on previous year | -28.1% |
| 2014 | -1.14 % change on previous year | -19.8% |
| 2015 | -0.6812 % change on previous year | -40.2% |
| 2016 | -0.3456 % change on previous year | -49.3% |
| 2017 | -0.1287 % change on previous year | -62.8% |
| 2018 | 0.1458 % change on previous year | -213.3% |
| 2019 | 0.1422 % change on previous year | -2.5% |
| 2020 | -0.0628 % change on previous year | -144.2% |
| 2021 | -0.1624 % change on previous year | +158.6% |
| 2022 | 0.4269 % change on previous year | -362.9% |
| 2023 | 0.3586 % change on previous year | -16.0% |
| 2024 | -0.6401 % change on previous year | -278.5% |
| 2025 | -1.42 % change on previous year | +121.1% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 1.26 % change on previous year | 0.7916 % change on previous year | 2.06 % change on previous year | 9 |
| 1970s | -0.5495 % change on previous year | -1.01 % change on previous year | 0.398 % change on previous year | 10 |
| 1980s | 0.3613 % change on previous year | -0.5969 % change on previous year | 0.9114 % change on previous year | 10 |
| 1990s | -1.46 % change on previous year | -2.78 % change on previous year | 0.4344 % change on previous year | 10 |
| 2000s | -4.1 % change on previous year | -4.72 % change on previous year | -2.81 % change on previous year | 10 |
| 2010s | -1.11 % change on previous year | -2.87 % change on previous year | 0.1458 % change on previous year | 10 |
| 2020s | -0.2492 % change on previous year | -1.42 % change on previous year | 0.4269 % change on previous year | 6 |
Countries ranked near Lithuania
- 153 Slovakia -1.41 % change on previous year compare
- 154 Andorra -1.41 % change on previous year compare
- 155 Antigua and Barbuda -1.41 % change on previous year compare
- 157 France -1.42 % change on previous year compare
- 158 Ecuador -1.45 % change on previous year compare
- 159 Slovenia -1.54 % change on previous year compare
More health data for Lithuania
- Un projection of annual infant deaths, annual growth rate 0 % change on previous year (2100)
- Heat deaths vs projected death rates, annual growth rate -0.4537 % change on previous year (2090)
- Heat deaths vs projected death rates 1,909 (2090)
- Un projection of annual infant deaths 5 (2100)
- Population ages 0-14, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 0-14, female, per capita 0.0706 units per person (2025)
- Population ages 0-14, male, annual growth rate -1.28 % change on previous year (2025)
- Population ages 0-14, male, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 0-14, male, per capita 0.0744 units per person (2025)
- Population ages 0-14, total, annual growth rate -1.35 % change on previous year (2025)
Frequently asked questions
- What is population ages 0-14, female, annual growth rate in Lithuania?
- Population ages 0-14, female, annual growth rate in Lithuania was -1.42 % change on previous year in 2025, according to Statizoid (derived).
- What is the highest population ages 0-14, female, annual growth rate recorded in Lithuania?
- The highest recorded value was 2.06 % change on previous year in 1961.
- What is the lowest population ages 0-14, female, annual growth rate recorded in Lithuania?
- The lowest recorded value was -4.72 % change on previous year in 2006.
- How does Lithuania rank for population ages 0-14, female, annual growth rate?
- Lithuania ranks 156th out of 217 countries with data for 2025.
- Is population ages 0-14, female, annual growth rate rising or falling in Lithuania?
- Over the last ten years it is down 107.8%. The long-run trend across the full record is volatile.
- Where does this Lithuania data come from?
- The figures come from Statizoid (derived), published as part of Population ages 0-14, female, annual growth rate. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 65 observations, free to reuse under Derived by Statizoid from the sources named on the page.
How this figure is calculated
The year-on-year percentage change in Population ages 0-14, female. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.
Computed from
- Population ages 0-14, female World Population Prospects, United Nations (UN), publisher: UN Population Division
Statizoid computes this series; the underlying measurements belong to the publishers named above. The arithmetic is applied to every country and year where both inputs report, and nothing is estimated unless the page says so.
About this data
The year-on-year percentage change in Population ages 0-14, female. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.