Gender of the head of government, gaps filled in Lithuania
Lithuania: Gender of the head of government, gaps filled was 1 in 2025. ◆ Volatile
Gender of the head of government, gaps filled in Lithuania, 1795–2025
Source: Statizoid (derived).
Analysis
Lithuania recorded 1 for gender of the head of government, gaps filled in 2025. That is the highest value across all 231 years on record.
That represents a change of unchanged over five years.
Over the whole period, gender of the head of government, gaps filled in Lithuania peaked at 1 in 1990 and was at its lowest, 0, in 1795.
Lithuania ranks 1st of 176 countries on this measure, in the top 10%.
The series is highly variable year to year, so single readings are best treated with caution.
Gender of the head of government, gaps filled in Lithuania, year by year
| Year | Value | Change |
|---|---|---|
| 1795 | 0 | — |
| 1796 | 0 | — |
| 1797 | 0 | — |
| 1798 | 0 | — |
| 1799 | 0 | — |
| 1800 | 0 | — |
| 1801 | 0 | — |
| 1802 | 0 | — |
| 1803 | 0 | — |
| 1804 | 0 | — |
| 1805 | 0 | — |
| 1806 | 0 | — |
| 1807 | 0 | — |
| 1808 | 0 | — |
| 1809 | 0 | — |
| 1810 | 0 | — |
| 1811 | 0 | — |
| 1812 | 0 | — |
| 1813 | 0 | — |
| 1814 | 0 | — |
| 1815 | 0 | — |
| 1816 | 0 | — |
| 1817 | 0 | — |
| 1818 | 0 | — |
| 1819 | 0 | — |
| 1820 | 0 | — |
| 1821 | 0 | — |
| 1822 | 0 | — |
| 1823 | 0 | — |
| 1824 | 0 | — |
| 1825 | 0 | — |
| 1826 | 0 | — |
| 1827 | 0 | — |
| 1828 | 0 | — |
| 1829 | 0 | — |
| 1830 | 0 | — |
| 1831 | 0 | — |
| 1832 | 0 | — |
| 1833 | 0 | — |
| 1834 | 0 | — |
| 1835 | 0 | — |
| 1836 | 0 | — |
| 1837 | 0 | — |
| 1838 | 0 | — |
| 1839 | 0 | — |
| 1840 | 0 | — |
| 1841 | 0 | — |
| 1842 | 0 | — |
| 1843 | 0 | — |
| 1844 | 0 | — |
| 1845 | 0 | — |
| 1846 | 0 | — |
| 1847 | 0 | — |
| 1848 | 0 | — |
| 1849 | 0 | — |
| 1850 | 0 | — |
| 1851 | 0 | — |
| 1852 | 0 | — |
| 1853 | 0 | — |
| 1854 | 0 | — |
| 1855 | 0 | — |
| 1856 | 0 | — |
| 1857 | 0 | — |
| 1858 | 0 | — |
| 1859 | 0 | — |
| 1860 | 0 | — |
| 1861 | 0 | — |
| 1862 | 0 | — |
| 1863 | 0 | — |
| 1864 | 0 | — |
| 1865 | 0 | — |
| 1866 | 0 | — |
| 1867 | 0 | — |
| 1868 | 0 | — |
| 1869 | 0 | — |
| 1870 | 0 | — |
| 1871 | 0 | — |
| 1872 | 0 | — |
| 1873 | 0 | — |
| 1874 | 0 | — |
| 1875 | 0 | — |
| 1876 | 0 | — |
| 1877 | 0 | — |
| 1878 | 0 | — |
| 1879 | 0 | — |
| 1880 | 0 | — |
| 1881 | 0 | — |
| 1882 | 0 | — |
| 1883 | 0 | — |
| 1884 | 0 | — |
| 1885 | 0 | — |
| 1886 | 0 | — |
| 1887 | 0 | — |
| 1888 | 0 | — |
| 1889 | 0 | — |
| 1890 | 0 | — |
| 1891 | 0 | — |
| 1892 | 0 | — |
| 1893 | 0 | — |
| 1894 | 0 | — |
| 1895 | 0 | — |
| 1896 | 0 | — |
| 1897 | 0 | — |
| 1898 | 0 | — |
| 1899 | 0 | — |
| 1900 | 0 | — |
| 1901 | 0 | — |
| 1902 | 0 | — |
| 1903 | 0 | — |
| 1904 | 0 | — |
| 1905 | 0 | — |
| 1906 | 0 | — |
| 1907 | 0 | — |
| 1908 | 0 | — |
| 1909 | 0 | — |
| 1910 | 0 | — |
| 1911 | 0 | — |
| 1912 | 0 | — |
| 1913 | 0 | — |
| 1914 | 0 | — |
| 1915 | 0 | — |
| 1916 | 0 | — |
| 1917 | 0 | — |
| 1918 | 0 | — |
| 1919 | 0 | — |
| 1920 | 0 | — |
| 1921 | 0 | — |
| 1922 | 0 | — |
| 1923 | 0 | — |
| 1924 | 0 | — |
| 1925 | 0 | — |
| 1926 | 0 | — |
| 1927 | 0 | — |
| 1928 | 0 | — |
| 1929 | 0 | — |
| 1930 | 0 | — |
| 1931 | 0 | — |
| 1932 | 0 | — |
| 1933 | 0 | — |
| 1934 | 0 | — |
| 1935 | 0 | — |
| 1936 | 0 | — |
| 1937 | 0 | — |
| 1938 | 0 | — |
| 1939 | 0 | — |
| 1940 | 0 | — |
| 1941 | 0 | — |
| 1942 | 0 | — |
| 1943 | 0 | — |
| 1944 | 0 | — |
| 1945 | 0 | — |
| 1946 | 0 | — |
| 1947 | 0 | — |
| 1948 | 0 | — |
| 1949 | 0 | — |
| 1950 | 0 | — |
| 1951 | 0 | — |
| 1952 | 0 | — |
| 1953 | 0 | — |
| 1954 | 0 | — |
| 1955 | 0 | — |
| 1956 | 0 | — |
| 1957 | 0 | — |
| 1958 | 0 | — |
| 1959 | 0 | — |
| 1960 | 0 | — |
| 1961 | 0 | — |
| 1962 | 0 | — |
| 1963 | 0 | — |
| 1964 | 0 | — |
| 1965 | 0 | — |
| 1966 | 0 | — |
| 1967 | 0 | — |
| 1968 | 0 | — |
| 1969 | 0 | — |
| 1970 | 0 | — |
| 1971 | 0 | — |
| 1972 | 0 | — |
| 1973 | 0 | — |
| 1974 | 0 | — |
| 1975 | 0 | — |
| 1976 | 0 | — |
| 1977 | 0 | — |
| 1978 | 0 | — |
| 1979 | 0 | — |
| 1980 | 0 | — |
| 1981 | 0 | — |
| 1982 | 0 | — |
| 1983 | 0 | — |
| 1984 | 0 | — |
| 1985 | 0 | — |
| 1986 | 0 | — |
| 1987 | 0 | — |
| 1988 | 0 | — |
| 1989 | 0 | — |
| 1990 | 1 | — |
| 1991 | 0 | -100.0% |
| 1992 | 0 | — |
| 1993 | 0 | — |
| 1994 | 0 | — |
| 1995 | 0 | — |
| 1996 | 0 | — |
| 1997 | 0 | — |
| 1998 | 0 | — |
| 1999 | 0 | — |
| 2000 | 0 | — |
| 2001 | 0 | — |
| 2002 | 0 | — |
| 2003 | 0 | — |
| 2004 | 0 | — |
| 2005 | 0 | — |
| 2006 | 0 | — |
| 2007 | 0 | — |
| 2008 | 0 | — |
| 2009 | 0 | — |
| 2010 | 0 | — |
| 2011 | 0 | — |
| 2012 | 0 | — |
| 2013 | 0 | — |
| 2014 | 0 | — |
| 2015 | 0 | — |
| 2016 | 0 | — |
| 2017 | 0 | — |
| 2018 | 0 | — |
| 2019 | 0 | — |
| 2020 | 1 | — |
| 2021 | 1 | +0.0% |
| 2022 | 1 | +0.0% |
| 2023 | 1 | +0.0% |
| 2024 | 0 | -100.0% |
| 2025 | 1 | — |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1790s | 0 | 0 | 0 | 5 |
| 1800s | 0 | 0 | 0 | 10 |
| 1810s | 0 | 0 | 0 | 10 |
| 1820s | 0 | 0 | 0 | 10 |
| 1830s | 0 | 0 | 0 | 10 |
| 1840s | 0 | 0 | 0 | 10 |
| 1850s | 0 | 0 | 0 | 10 |
| 1860s | 0 | 0 | 0 | 10 |
| 1870s | 0 | 0 | 0 | 10 |
| 1880s | 0 | 0 | 0 | 10 |
| 1890s | 0 | 0 | 0 | 10 |
| 1900s | 0 | 0 | 0 | 10 |
| 1910s | 0 | 0 | 0 | 10 |
| 1920s | 0 | 0 | 0 | 10 |
| 1930s | 0 | 0 | 0 | 10 |
| 1940s | 0 | 0 | 0 | 10 |
| 1950s | 0 | 0 | 0 | 10 |
| 1960s | 0 | 0 | 0 | 10 |
| 1970s | 0 | 0 | 0 | 10 |
| 1980s | 0 | 0 | 0 | 10 |
| 1990s | 0.1 | 0 | 1 | 10 |
| 2000s | 0 | 0 | 0 | 10 |
| 2010s | 0 | 0 | 0 | 10 |
| 2020s | 0.8333 | 0 | 1 | 6 |
Countries ranked near Lithuania
- 1 Bosnia and Herzegovina 1 compare
- 1 Barbados 1 compare
- 1 Switzerland 1 compare
- 1 Congo, Democratic Republic of the 1 compare
- 1 Denmark 1 compare
- 1 Honduras 1 compare
- 1 Iceland 1 compare
- 1 Italy 1 compare
- 1 Japan 1 compare
- 1 Latvia 1 compare
- 1 Mexico 1 compare
- 1 Namibia 1 compare
- 1 Nepal 1 compare
- 1 Suriname 1 compare
- 1 Trinidad and Tobago 1 compare
- 1 Tunisia 1 compare
- 1 Tanzania, United Republic of 1 compare
- 1 Ukraine 1 compare
More gender data for Lithuania
- Child population (UN estimates and projections) 361.11 (2030)
- Child population (UN estimates and projections) (0-14), annual growth -2.94 % change on previous year (2030)
- Population 2,345 (2030)
- Working-age population (UN estimates and projections) 2,345 (2030)
- Population (UN estimates and projections), annual growth rate -0.4774 % change on previous year (2030)
- Age population, age 00, female, interpolated 10,620 (2025)
- Age population, age 00, male, interpolated 11,194 (2025)
- Age population, age 01, female, interpolated 10,662 (2025)
- Age population, age 01, male, interpolated 11,224 (2025)
- Age population, age 02, female, interpolated 10,961 (2025)
Frequently asked questions
- What is gender of the head of government, gaps filled in Lithuania?
- Gender of the head of government, gaps filled in Lithuania was 1 in 2025, according to Statizoid (derived).
- What is the highest gender of the head of government, gaps filled recorded in Lithuania?
- The highest recorded value was 1 in 1990.
- What is the lowest gender of the head of government, gaps filled recorded in Lithuania?
- The lowest recorded value was 0 in 1795.
- How does Lithuania rank for gender of the head of government, gaps filled?
- Lithuania ranks 1st out of 176 countries with data for 2025.
- Where does this Lithuania data come from?
- The figures come from Statizoid (derived), published as part of Gender of the head of government, gaps filled. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 231 observations, free to reuse under Derived by Statizoid from the sources named on the page.
How this figure is calculated
Gender of the head of government with 53 missing years estimated by linear interpolation between the nearest real observations. Only gaps of 4 years or fewer are filled, and never beyond the first or last actual measurement — these are filled holes, not forecasts.
Computed from
- Gender of the head of government V-Dem (2026) – processed by Our World in Data
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
Gender of the head of government with 53 missing years estimated by linear interpolation between the nearest real observations. Only gaps of 4 years or fewer are filled, and never beyond the first or last actual measurement — these are filled holes, not forecasts.