Gender of chief executive, annual growth rate by country
The year-on-year percentage change in Gender of chief executive. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.
What the numbers show
Gender of chief executive, annual growth rate is currently reported for 38 countries. The highest value is 0 % change on previous year in Latvia; the lowest is -100 % change on previous year in Argentina.
The median across all reporting countries is -100 % change on previous year, and the mean is -92.11 % change on previous year.
Gender of chief executive, annual growth rate: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Latvia | 0 % change on previous year | 2025 | — | volatile |
| 1 | Iceland | 0 % change on previous year | 2025 | up 100.0% | volatile |
| 1 | Denmark | 0 % change on previous year | 2025 | up 100.0% | volatile |
| 5 | Panama | -100 % change on previous year | 2004 | — | volatile |
| 5 | Lithuania | -100 % change on previous year | 2024 | — | volatile |
| 5 | Moldova | -100 % change on previous year | 2023 | — | volatile |
| 5 | Madagascar | -100 % change on previous year | 1865 | — | volatile |
| 5 | Nicaragua | -100 % change on previous year | 1997 | — | volatile |
| 5 | Norway | -100 % change on previous year | 2021 | — | volatile |
| 5 | New Zealand | -100 % change on previous year | 2023 | unchanged | volatile |
| 5 | Pakistan | -100 % change on previous year | 1996 | — | volatile |
| 5 | Liberia | -100 % change on previous year | 2018 | — | volatile |
| 5 | Philippines | -100 % change on previous year | 2010 | — | volatile |
| 5 | North Korea | -100 % change on previous year | 1852 | — | volatile |
| 5 | Portugal | -100 % change on previous year | 1980 | — | volatile |
| 5 | Russia | -100 % change on previous year | 1796 | — | volatile |
| 5 | Serbia | -100 % change on previous year | 2024 | — | volatile |
| 5 | Eswatini | -100 % change on previous year | 1986 | — | volatile |
| 5 | Trinidad and Tobago | -100 % change on previous year | 2015 | — | volatile |
| 5 | Taiwan | -100 % change on previous year | 1889 | — | volatile |
| 5 | Finland | -100 % change on previous year | 2023 | unchanged | volatile |
| 5 | Bangladesh | -100 % change on previous year | 2024 | — | volatile |
| 5 | Brazil | -100 % change on previous year | 2016 | — | volatile |
| 5 | Switzerland | -100 % change on previous year | 2021 | — | volatile |
| 5 | Chile | -100 % change on previous year | 2018 | — | volatile |
| 5 | China | -100 % change on previous year | 1908 | — | volatile |
| 5 | Germany | -100 % change on previous year | 2021 | — | volatile |
| 5 | Estonia | -100 % change on previous year | 2024 | — | volatile |
| 5 | Ethiopia | -100 % change on previous year | 1930 | — | volatile |
| 5 | Sri Lanka | -100 % change on previous year | 2005 | — | volatile |
| 5 | United Kingdom | -100 % change on previous year | 2019 | — | volatile |
| 5 | Hong Kong | -100 % change on previous year | 2022 | — | volatile |
| 5 | India | -100 % change on previous year | 1984 | — | volatile |
| 5 | Israel | -100 % change on previous year | 1974 | — | volatile |
| 5 | Jamaica | -100 % change on previous year | 2016 | unchanged | volatile |
| 5 | Kazakhstan | -100 % change on previous year | 1796 | — | volatile |
| 5 | South Korea | -100 % change on previous year | 2016 | — | volatile |
| 5 | Argentina | -100 % change on previous year | 2015 | — | volatile |
How this figure is calculated
The year-on-year percentage change in Gender of chief executive. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.
Computed from
- Gender of the chief executive 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
The year-on-year percentage change in Gender of chief executive. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.