Gender of the chief executive in Korea
Korea: Gender of the chief executive was 0 in 2025. ◆ Volatile
Gender of the chief executive in Korea, 1789–2025
Source: V-Dem (2026) – processed by Our World in Data.
Analysis
The most recent figure for gender of the chief executive in Korea is 0, measured in 2025. That is the lowest value across all 237 years on record.
That represents a change of down 100.0% over ten years.
Over the whole period, gender of the chief executive in Korea peaked at 1 in 1800 and was at its lowest, 0, in 1789.
Korea ranks 18th 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 chief executive in Korea, year by year
| Year | Value | Change |
|---|---|---|
| 1789 | 0 | — |
| 1790 | 0 | — |
| 1791 | 0 | — |
| 1792 | 0 | — |
| 1793 | 0 | — |
| 1794 | 0 | — |
| 1795 | 0 | — |
| 1796 | 0 | — |
| 1797 | 0 | — |
| 1798 | 0 | — |
| 1799 | 0 | — |
| 1800 | 1 | — |
| 1801 | 1 | +0.0% |
| 1802 | 1 | +0.0% |
| 1803 | 1 | +0.0% |
| 1804 | 0 | -100.0% |
| 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 | 1 | — |
| 1850 | 1 | +0.0% |
| 1851 | 1 | +0.0% |
| 1852 | 0 | -100.0% |
| 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 | 0 | — |
| 1991 | 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 | 1 | — |
| 2014 | 1 | +0.0% |
| 2015 | 1 | +0.0% |
| 2016 | 0 | -100.0% |
| 2017 | 0 | — |
| 2018 | 0 | — |
| 2019 | 0 | — |
| 2020 | 0 | — |
| 2021 | 0 | — |
| 2022 | 0 | — |
| 2023 | 0 | — |
| 2024 | 0 | — |
| 2025 | 0 | — |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1780s | 0 | 0 | 0 | 1 |
| 1790s | 0 | 0 | 0 | 10 |
| 1800s | 0.4 | 0 | 1 | 10 |
| 1810s | 0 | 0 | 0 | 10 |
| 1820s | 0 | 0 | 0 | 10 |
| 1830s | 0 | 0 | 0 | 10 |
| 1840s | 0.1 | 0 | 1 | 10 |
| 1850s | 0.2 | 0 | 1 | 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 | 0 | 0 | 10 |
| 2000s | 0 | 0 | 0 | 10 |
| 2010s | 0.3 | 0 | 1 | 10 |
| 2020s | 0 | 0 | 0 | 6 |
Countries ranked near Korea
- 18 Afghanistan 0
- 18 Albania 0
- 18 Algeria 0
- 18 Angola 0
- 18 Argentina 0 compare
- 18 Armenia 0
- 18 Australia 0 compare
- 18 Austria 0 compare
- 18 Azerbaijan 0
- 18 Bahrain 0
- 18 Bangladesh 0 compare
- 18 Belarus 0
- 18 Belgium 0 compare
- 18 Benin 0
- 18 Bhutan 0
- 18 Bolivia 0 compare
- 18 Botswana 0
- 18 Brazil 0 compare
- 18 Bulgaria 0 compare
- 18 Burkina Faso 0
- 18 Burundi 0 compare
- 18 Cambodia 0
- 18 Cameroon 0
- 18 Canada 0
- 18 Cape Verde 0
- 18 Central African Republic 0 compare
- 18 Chad 0
- 18 Chile 0 compare
- 18 China 0 compare
- 18 Colombia 0
- 18 Comoros 0
- 18 Congo 0
- 18 Costa Rica 0 compare
- 18 Cote d'Ivoire 0
- 18 Croatia 0 compare
- 18 Cuba 0
- 18 Cyprus 0
- 18 Czechia 0
- 18 Democratic Republic of Congo 0
- 18 Djibouti 0
- 18 Dominican Republic 0
- 18 East Timor 0
- 18 Ecuador 0
- 18 Egypt 0
- 18 El Salvador 0 compare
- 18 Equatorial Guinea 0
- 18 Eritrea 0
- 18 Estonia 0 compare
- 18 Eswatini 0 compare
- 18 Ethiopia 0 compare
- 18 Fiji 0
- 18 Finland 0 compare
- 18 France 0 compare
- 18 Gabon 0
- 18 Gambia 0
- 18 Georgia 0
- 18 Germany 0 compare
- 18 Ghana 0
- 18 Greece 0
- 18 Guatemala 0
- 18 Guinea 0
- 18 Guinea-Bissau 0
- 18 Guyana 0 compare
- 18 Haiti 0 compare
- 18 Hong Kong 0 compare
- 18 Hungary 0
- 18 India 0 compare
- 18 Indonesia 0 compare
- 18 Iran 0
- 18 Iraq 0
- 18 Ireland 0
- 18 Israel 0 compare
- 18 Jamaica 0 compare
- 18 Jordan 0
- 18 Kazakhstan 0
- 18 Kenya 0
- 18 Kuwait 0
- 18 Kyrgyzstan 0
- 18 Laos 0
- 18 Lebanon 0
- 18 Lesotho 0
- 18 Liberia 0 compare
- 18 Libya 0
- 18 Luxembourg 0 compare
- 18 Madagascar 0 compare
- 18 Malawi 0 compare
- 18 Malaysia 0
- 18 Maldives 0
- 18 Mali 0
- 18 Malta 0
- 18 Mauritania 0
- 18 Mauritius 0
- 18 Moldova 0 compare
- 18 Mongolia 0
- 18 Montenegro 0
- 18 Morocco 0
- 18 Mozambique 0
- 18 Myanmar 0
- 18 Netherlands 0 compare
- 18 New Zealand 0 compare
- 18 Nicaragua 0 compare
- 18 Niger 0
- 18 Nigeria 0
- 18 North Korea 0
- 18 North Macedonia 0
- 18 Norway 0 compare
- 18 Oman 0
- 18 Pakistan 0 compare
- 18 Palestine 0
- 18 Panama 0 compare
- 18 Papua New Guinea 0
- 18 Paraguay 0
- 18 Peru 0 compare
- 18 Philippines 0 compare
- 18 Poland 0 compare
- 18 Portugal 0 compare
- 18 Qatar 0
- 18 Romania 0 compare
- 18 Russia 0 compare
- 18 Rwanda 0
- 18 Sao Tome and Principe 0 compare
- 18 Saudi Arabia 0
- 18 Senegal 0
- 18 Serbia 0 compare
- 18 Seychelles 0
- 18 Sierra Leone 0
- 18 Singapore 0
- 18 Slovak Republic 0 compare
- 18 Slovenia 0 compare
- 18 Solomon Islands 0
- 18 Somalia 0
- 18 South Africa 0
- 18 South Sudan 0
- 18 Spain 0
- 18 Sri Lanka 0 compare
- 18 Sudan 0
- 18 Sweden 0 compare
- 18 Syria 0
- 18 Taiwan 0
- 18 Tajikistan 0
- 18 Thailand 0 compare
- 18 Togo 0
- 18 Tunisia 0
- 18 Türkiye 0 compare
- 18 Turkmenistan 0
- 18 Uganda 0
- 18 United Arab Emirates 0
- 18 United Kingdom 0 compare
- 18 United States 0
- 18 Uruguay 0
- 18 Uzbekistan 0
- 18 Vanuatu 0
- 18 Vatican 0
- 18 Venezuela 0
- 18 Vietnam 0
- 18 Yemen 0
- 18 Zambia 0
- 18 Zimbabwe 0
More gender data for Korea
- Child population (UN estimates and projections) 4,318 (2030)
- Child population (UN estimates and projections) (0-14), annual growth -3.79 % change on previous year (2030)
- Population 46,871 (2030)
- Working-age population (UN estimates and projections) 46,871 (2030)
- Population (UN estimates and projections), annual growth rate 0.0957 % change on previous year (2030)
- Age population, age 00, female, interpolated 119,025 (2025)
- Age population, age 00, male, interpolated 125,732 (2025)
- Age population, age 01, female, interpolated 116,471 (2025)
- Age population, age 01, male, interpolated 122,813 (2025)
- Age population, age 02, female, interpolated 119,098 (2025)
Frequently asked questions
- What is gender of the chief executive in Korea?
- Gender of the chief executive in Korea was 0 in 2025, according to V-Dem (2026) – processed by Our World in Data.
- What is the highest gender of the chief executive recorded in Korea?
- The highest recorded value was 1 in 1800.
- What is the lowest gender of the chief executive recorded in Korea?
- The lowest recorded value was 0 in 1789.
- How does Korea rank for gender of the chief executive?
- Korea ranks 18th out of 176 countries with data for 2025.
- Is gender of the chief executive rising or falling in Korea?
- Over the last ten years it is down 100.0%. The long-run trend across the full record is volatile.
- Where does this Korea data come from?
- The figures come from V-Dem (2026) – processed by Our World in Data, published as part of Gender of the chief executive. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 237 observations, free to reuse under CC BY 4.0 (Our World in Data).
About this data
The variable denotes whether the chief executive of government in office on December 31 is a woman.