Gender of chief executive, annual growth rate in Lithuania
Lithuania: Gender of chief executive, annual growth rate was -100 % change on previous year in 2024. ◆ Volatile
Gender of chief executive, annual growth rate in Lithuania, 1796–2024
Source: Statizoid (derived). Measured in % change on previous year.
Analysis
The most recent figure for gender of chief executive, annual growth rate in Lithuania is -100 % change on previous year, measured in 2024. That is the lowest value across all 6 years on record.
Over the whole period, gender of chief executive, annual growth rate in Lithuania peaked at 0 % change on previous year in 2021 and was at its lowest, -100 % change on previous year, in 1796.
Lithuania ranks 5th of 39 countries on this measure, in the top quarter.
Gender of chief executive, annual growth rate in Lithuania, year by year
| Year | % change on previous year | Change |
|---|---|---|
| 1796 | -100 % change on previous year | — |
| 1991 | -100 % change on previous year | -0.0% |
| 2021 | 0 % change on previous year | -100.0% |
| 2022 | 0 % change on previous year | — |
| 2023 | 0 % change on previous year | — |
| 2024 | -100 % change on previous year | — |
Lithuania compared with similar countries
- Lithuania's -100 % change on previous year is above the median for high income countries, which is -100 % change on previous year, 1.0× the median. (20 countries reporting)
- Lithuania's -100 % change on previous year is above the median for Europe & Central Asia, which is -100 % change on previous year, 1.0× the median. (15 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1790s | -100 % change on previous year | -100 % change on previous year | -100 % change on previous year | 1 |
| 1990s | -100 % change on previous year | -100 % change on previous year | -100 % change on previous year | 1 |
| 2020s | -25 % change on previous year | -100 % change on previous year | 0 % change on previous year | 4 |
Countries ranked near Lithuania
- 5 Argentina -100 % change on previous year compare
- 5 Bangladesh -100 % change on previous year compare
- 5 Brazil -100 % change on previous year compare
- 5 Switzerland -100 % change on previous year compare
- 5 Chile -100 % change on previous year compare
- 5 China -100 % change on previous year compare
- 5 Germany -100 % change on previous year compare
- 5 Estonia -100 % change on previous year compare
- 5 Ethiopia -100 % change on previous year compare
- 5 Finland -100 % change on previous year compare
- 5 United Kingdom -100 % change on previous year compare
- 5 Hong Kong -100 % change on previous year compare
- 5 India -100 % change on previous year compare
- 5 Israel -100 % change on previous year compare
- 5 Jamaica -100 % change on previous year compare
- 5 Kazakhstan -100 % change on previous year
- 5 South Korea -100 % change on previous year compare
- 5 Liberia -100 % change on previous year compare
- 5 Sri Lanka -100 % change on previous year compare
- 5 Moldova -100 % change on previous year compare
- 5 Madagascar -100 % change on previous year compare
- 5 Nicaragua -100 % change on previous year compare
- 5 Norway -100 % change on previous year compare
- 5 New Zealand -100 % change on previous year compare
- 5 Pakistan -100 % change on previous year compare
- 5 Panama -100 % change on previous year compare
- 5 Philippines -100 % change on previous year compare
- 5 North Korea -100 % change on previous year compare
- 5 Portugal -100 % change on previous year compare
- 5 Russia -100 % change on previous year
- 5 Serbia -100 % change on previous year compare
- 5 Eswatini -100 % change on previous year compare
- 5 Trinidad and Tobago -100 % change on previous year compare
- 5 Taiwan -100 % change on previous year 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 chief executive, annual growth rate in Lithuania?
- Gender of chief executive, annual growth rate in Lithuania was -100 % change on previous year in 2024, according to Statizoid (derived).
- What is the highest gender of chief executive, annual growth rate recorded in Lithuania?
- The highest recorded value was 0 % change on previous year in 2021.
- What is the lowest gender of chief executive, annual growth rate recorded in Lithuania?
- The lowest recorded value was -100 % change on previous year in 1796.
- How does Lithuania rank for gender of chief executive, annual growth rate?
- Lithuania ranks 5th out of 39 countries with data for 2024.
- Where does this Lithuania data come from?
- The figures come from Statizoid (derived), published as part of Gender of chief executive, annual growth rate. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 6 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 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.