Gender pay gap: structure of earnings survey methodology … NACE in Lithuania
Lithuania: Gender pay gap: structure of earnings survey methodology … NACE was 9.4 in 2024. ▼ Falling
Gender pay gap in unadjusted form by NACE Rev. 2 activity - structure in Lithuania, 2007–2024
Source: Eurostat.
Analysis
The most recent figure for gender pay gap in unadjusted form by nace rev. 2 activity - structure in Lithuania is 9.4, measured in 2024. That is the lowest value across all 18 years on record.
That represents a change of down 12.1% on the previous year and down 24.2% over ten years.
Over the whole period, gender pay gap in unadjusted form by nace rev. 2 activity - structure in Lithuania peaked at 21.2 in 2007 and was at its lowest, 9.4, in 2024.
Lithuania ranks 23rd of 35 countries on this measure, in the middle of the range.
The long-run direction has been consistently falling across the 18 years of available data.
Gender pay gap: structure of earnings survey methodology … NACE in Lithuania, year by year
| Year | Value | Change |
|---|---|---|
| 2007 | 21.2 | — |
| 2008 | 20.5 | -3.3% |
| 2009 | 15 | -26.8% |
| 2010 | 12 | -20.0% |
| 2011 | 11.3 | -5.8% |
| 2012 | 11.4 | +0.9% |
| 2013 | 11.5 | +0.9% |
| 2014 | 12.4 | +7.8% |
| 2015 | 13 | +4.8% |
| 2016 | 13.5 | +3.8% |
| 2017 | 14.3 | +5.9% |
| 2018 | 13.2 | -7.7% |
| 2019 | 12.1 | -8.3% |
| 2020 | 11.5 | -5.0% |
| 2021 | 10.2 | -11.3% |
| 2022 | 10 | -2.0% |
| 2023 | 10.7 | +7.0% |
| 2024 | 9.4 | -12.1% |
Lithuania compared with similar countries
- Lithuania's 9.4 is below the median for Europe & Central Asia, which is 11.85, 79% of the median. (26 countries reporting)
- Lithuania's 9.4 is below the median for high income countries, which is 11.85, 79% of the median. (26 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 18.9 | 15 | 21.2 | 3 |
| 2010s | 12.47 | 11.3 | 14.3 | 10 |
| 2020s | 10.36 | 9.4 | 11.5 | 5 |
Countries ranked near Lithuania
More work & labour data for Lithuania
- Population - Est. & Proj. — Total Population - Both sexes, annual -1.28 % change on previous year (2100)
- Population - Est. & Proj. — Total Population - Male, annual growth -1.24 % change on previous year (2100)
- Population - Est. & Proj. — Total Population - Female, annual growth -1.32 % change on previous year (2100)
- Population - Est. & Proj. — Rural population, annual growth rate -2.22 % change on previous year (2050)
- Population - Est. & Proj. — Urban population, annual growth rate -0.1248 % change on previous year (2050)
- Population - Est. & Proj. — Urban population 1,880 1000 No (2050)
- Population - Est. & Proj. — Rural population 526.79 1000 No (2050)
- Population - Est. & Proj. — Total Population - Female 615.89 1000 No (2100)
- Population - Est. & Proj. — Total Population - Male 592.78 1000 No (2100)
- Population - Est. & Proj. — Total Population - Both sexes 1,209 1000 No (2100)
Frequently asked questions
- What is gender pay gap in unadjusted form by nace rev. 2 activity - structure in Lithuania?
- Gender pay gap in unadjusted form by nace rev. 2 activity - structure in Lithuania was 9.4 in 2024, according to Eurostat.
- What is the highest gender pay gap in unadjusted form by nace rev. 2 activity - structure recorded in Lithuania?
- The highest recorded value was 21.2 in 2007.
- What is the lowest gender pay gap in unadjusted form by nace rev. 2 activity - structure recorded in Lithuania?
- The lowest recorded value was 9.4 in 2024.
- How does Lithuania rank for gender pay gap in unadjusted form by nace rev. 2 activity - structure?
- Lithuania ranks 23rd out of 35 countries with data for 2024.
- Is gender pay gap in unadjusted form by nace rev. 2 activity - structure rising or falling in Lithuania?
- Over the last ten years it is down 24.2%. The long-run trend across the full record is falling.
- Where does this Lithuania data come from?
- The figures come from Eurostat, published as part of Gender pay gap in unadjusted form by NACE Rev. 2 activity - structure of earnings survey methodology. Statizoid updates them automatically from the source API.
Download this data
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