Population ages 30-34, male, annual growth rate in Lithuania
Lithuania: Population ages 30-34, male, annual growth rate was -2.05 % change on previous year in 2025. ◆ Volatile
Latest (2025)
-2.05 % change on previous year
Change on year
down 507.4%
World rank
173rd
of 218 countries
All-time high
6.08 % change on previous year
in 1961
All-time low
-5.05 % change on previous year
in 2011
Years of data
65
1961–2025
Population ages 30-34, male, annual growth rate in Lithuania, 1961–2025
Source: Statizoid (derived). Measured in % change on previous year.
Analysis
Lithuania recorded -2.05 % change on previous year for population ages 30-34, male, annual growth rate in 2025.
Compared with earlier readings it is down 507.4% on the previous year and down 285.1% over ten years.
Over the whole period, population ages 30-34, male, annual growth rate in Lithuania peaked at 6.08 % change on previous year in 1961 and was at its lowest, -5.05 % change on previous year, in 2011.
Lithuania ranks 173rd of 218 countries on this measure, in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Population ages 30-34, male, annual growth rate in Lithuania, year by year
| Year | % change on previous year | Change |
|---|---|---|
| 1961 | 6.08 % change on previous year | — |
| 1962 | 2.99 % change on previous year | -50.9% |
| 1963 | 0.4406 % change on previous year | -85.2% |
| 1964 | -0.5169 % change on previous year | -217.3% |
| 1965 | -0.3871 % change on previous year | -25.1% |
| 1966 | 0.4027 % change on previous year | -204.1% |
| 1967 | 0.7086 % change on previous year | +75.9% |
| 1968 | 0.0553 % change on previous year | -92.2% |
| 1969 | 0.598 % change on previous year | +981.9% |
| 1970 | 0.4175 % change on previous year | -30.2% |
| 1971 | 0.3134 % change on previous year | -24.9% |
| 1972 | 0.9233 % change on previous year | +194.6% |
| 1973 | -0.1363 % change on previous year | -114.8% |
| 1974 | -2.11 % change on previous year | +1444.2% |
| 1975 | -2.05 % change on previous year | -2.5% |
| 1976 | -2.2 % change on previous year | +7.2% |
| 1977 | -2.99 % change on previous year | +35.8% |
| 1978 | -0.5662 % change on previous year | -81.0% |
| 1979 | 2.97 % change on previous year | -624.1% |
| 1980 | 3.45 % change on previous year | +16.3% |
| 1981 | 2.78 % change on previous year | -19.5% |
| 1982 | 2.76 % change on previous year | -0.6% |
| 1983 | 1.53 % change on previous year | -44.5% |
| 1984 | 0.6539 % change on previous year | -57.4% |
| 1985 | 1.06 % change on previous year | +62.7% |
| 1986 | 1.63 % change on previous year | +53.2% |
| 1987 | 2.92 % change on previous year | +79.1% |
| 1988 | 4.42 % change on previous year | +51.5% |
| 1989 | 4.75 % change on previous year | +7.3% |
| 1990 | 4 % change on previous year | -15.7% |
| 1991 | 3.32 % change on previous year | -17.0% |
| 1992 | 1.67 % change on previous year | -49.6% |
| 1993 | -0.6639 % change on previous year | -139.7% |
| 1994 | -1.51 % change on previous year | +127.4% |
| 1995 | -2.33 % change on previous year | +54.7% |
| 1996 | -3.28 % change on previous year | +40.4% |
| 1997 | -3.13 % change on previous year | -4.4% |
| 1998 | -3.15 % change on previous year | +0.5% |
| 1999 | -2.82 % change on previous year | -10.6% |
| 2000 | -1.71 % change on previous year | -39.2% |
| 2001 | -1.36 % change on previous year | -20.7% |
| 2002 | -1.13 % change on previous year | -17.2% |
| 2003 | -1.58 % change on previous year | +40.1% |
| 2004 | -2.95 % change on previous year | +87.0% |
| 2005 | -3.99 % change on previous year | +35.2% |
| 2006 | -3.88 % change on previous year | -2.6% |
| 2007 | -2.95 % change on previous year | -24.0% |
| 2008 | -2.21 % change on previous year | -25.0% |
| 2009 | -2.11 % change on previous year | -4.5% |
| 2010 | -4.45 % change on previous year | +110.7% |
| 2011 | -5.05 % change on previous year | +13.5% |
| 2012 | -2.8 % change on previous year | -44.6% |
| 2013 | -0.7338 % change on previous year | -73.8% |
| 2014 | 1.02 % change on previous year | -238.7% |
| 2015 | 1.1 % change on previous year | +8.5% |
| 2016 | 0.9459 % change on previous year | -14.4% |
| 2017 | 1.79 % change on previous year | +89.6% |
| 2018 | 2.22 % change on previous year | +23.6% |
| 2019 | 2.86 % change on previous year | +29.3% |
| 2020 | 4.36 % change on previous year | +52.0% |
| 2021 | 3.17 % change on previous year | -27.1% |
| 2022 | 3.03 % change on previous year | -4.4% |
| 2023 | 3.37 % change on previous year | +11.0% |
| 2024 | 0.5022 % change on previous year | -85.1% |
| 2025 | -2.05 % change on previous year | -507.4% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 1.15 % change on previous year | -0.5169 % change on previous year | 6.08 % change on previous year | 9 |
| 1970s | -0.5424 % change on previous year | -2.99 % change on previous year | 2.97 % change on previous year | 10 |
| 1980s | 2.6 % change on previous year | 0.6539 % change on previous year | 4.75 % change on previous year | 10 |
| 1990s | -0.7895 % change on previous year | -3.28 % change on previous year | 4 % change on previous year | 10 |
| 2000s | -2.39 % change on previous year | -3.99 % change on previous year | -1.13 % change on previous year | 10 |
| 2010s | -0.3095 % change on previous year | -5.05 % change on previous year | 2.86 % change on previous year | 10 |
| 2020s | 2.06 % change on previous year | -2.05 % change on previous year | 4.36 % change on previous year | 6 |
Countries ranked near Lithuania
- 170 Maldives -1.72 % change on previous year compare
- 171 Algeria -1.97 % change on previous year compare
- 172 Switzerland -2.04 % change on previous year compare
- 174 New Caledonia -2.1 % change on previous year compare
- 175 United States Virgin Islands -2.11 % change on previous year compare
- 176 British Virgin Islands -2.2 % 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)
- Estimated changes in temperature-related death rates compared to projected death rates 1,909 deaths per 1,000 people (2090)
- Number of infants who die before age 1 5 deaths (2100)
- Population ages 30-34, female, annual growth rate -1.22 % change on previous year (2025)
- Population ages 30-34, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 30-34, female, per capita 0.0345 units per person (2025)
- Population ages 30-34, male, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 30-34, male, per capita 0.0382 units per person (2025)
- Population ages 35-39, female, annual growth rate 1.66 % change on previous year (2025)
Frequently asked questions
- What is population ages 30-34, male, annual growth rate in Lithuania?
- Population ages 30-34, male, annual growth rate in Lithuania was -2.05 % change on previous year in 2025, according to Statizoid (derived).
- What is the highest population ages 30-34, male, annual growth rate recorded in Lithuania?
- The highest recorded value was 6.08 % change on previous year in 1961.
- What is the lowest population ages 30-34, male, annual growth rate recorded in Lithuania?
- The lowest recorded value was -5.05 % change on previous year in 2011.
- How does Lithuania rank for population ages 30-34, male, annual growth rate?
- Lithuania ranks 173rd out of 218 countries with data for 2025.
- Is population ages 30-34, male, annual growth rate rising or falling in Lithuania?
- Over the last ten years it is down 285.1%. 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 30-34, male, 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 30-34, male. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.
Computed from
- Population ages 30-34, male World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects
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 30-34, male. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.