Real labour productivity by main economic activity (ROPI-adjusted for) in Lithuania
Lithuania: Real labour productivity by main economic activity (ROPI-adjusted for) was 78,235 US dollars per worker, PPP converted in 2024. ▲ Rising
Real labour productivity by main economic activity (ROPI-adjusted for) in Lithuania, 2000–2024
Source: Organisation for Economic Co-operation and Development. Measured in US dollars per worker, PPP converted.
Analysis
Lithuania recorded 78,235 US dollars per worker, PPP converted for real labour productivity by main economic activity (ropi-adjusted for) in 2024.
The figure is up 1.5% on the previous year and up 21.4% over ten years.
Over the whole period, real labour productivity by main economic activity (ropi-adjusted for) in Lithuania peaked at 79,491 US dollars per worker, PPP converted in 2021 and was at its lowest, 33,719 US dollars per worker, PPP converted, in 2000.
Lithuania ranks 28th of 41 countries on this measure, in the middle of the range.
The long-run direction has been consistently rising across the 25 years of available data.
Real labour productivity by main economic activity (ROPI-adjusted for) in Lithuania, year by year
| Year | US dollars per worker, PPP converted | Change |
|---|---|---|
| 2000 | 33,719 US dollars per worker, PPP converted | — |
| 2001 | 37,288 US dollars per worker, PPP converted | +10.6% |
| 2002 | 38,414 US dollars per worker, PPP converted | +3.0% |
| 2003 | 41,511 US dollars per worker, PPP converted | +8.1% |
| 2004 | 44,701 US dollars per worker, PPP converted | +7.7% |
| 2005 | 47,794 US dollars per worker, PPP converted | +6.9% |
| 2006 | 51,471 US dollars per worker, PPP converted | +7.7% |
| 2007 | 56,031 US dollars per worker, PPP converted | +8.9% |
| 2008 | 58,250 US dollars per worker, PPP converted | +4.0% |
| 2009 | 53,712 US dollars per worker, PPP converted | -7.8% |
| 2010 | 56,969 US dollars per worker, PPP converted | +6.1% |
| 2011 | 60,241 US dollars per worker, PPP converted | +5.7% |
| 2012 | 61,712 US dollars per worker, PPP converted | +2.4% |
| 2013 | 63,342 US dollars per worker, PPP converted | +2.6% |
| 2014 | 64,418 US dollars per worker, PPP converted | +1.7% |
| 2015 | 65,324 US dollars per worker, PPP converted | +1.4% |
| 2016 | 65,585 US dollars per worker, PPP converted | +0.4% |
| 2017 | 69,105 US dollars per worker, PPP converted | +5.4% |
| 2018 | 71,521 US dollars per worker, PPP converted | +3.5% |
| 2019 | 74,476 US dollars per worker, PPP converted | +4.1% |
| 2020 | 75,681 US dollars per worker, PPP converted | +1.6% |
| 2021 | 79,491 US dollars per worker, PPP converted | +5.0% |
| 2022 | 77,597 US dollars per worker, PPP converted | -2.4% |
| 2023 | 77,069 US dollars per worker, PPP converted | -0.7% |
| 2024 | 78,235 US dollars per worker, PPP converted | +1.5% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 46,289 US dollars per worker, PPP converted | 33,719 US dollars per worker, PPP converted | 58,250 US dollars per worker, PPP converted | 10 |
| 2010s | 65,269 US dollars per worker, PPP converted | 56,969 US dollars per worker, PPP converted | 74,476 US dollars per worker, PPP converted | 10 |
| 2020s | 77,615 US dollars per worker, PPP converted | 75,681 US dollars per worker, PPP converted | 79,491 US dollars per worker, PPP converted | 5 |
Countries ranked near Lithuania
- 25 New Zealand 81,292 US dollars per worker, PPP converted compare
- 26 Slovenia 80,975 US dollars per worker, PPP converted compare
- 27 Israel 79,085 US dollars per worker, PPP converted compare
- 29 Romania 76,855 US dollars per worker, PPP converted compare
- 30 Croatia 75,425 US dollars per worker, PPP converted compare
- 31 Portugal 72,342 US dollars per worker, PPP converted compare
More economy & growth data for Lithuania
- Manufacturing, value added (constant LCU), per capita 3,256 constant LCU per person (2025)
- Industry (including construction), value added (current US$), annual 7.5 % change on previous year (2025)
- Industry (including construction), value added (current US$), per 0.2215 current US$ per US$ of GDP (2025)
- Industry (including construction), value added (current US$), per 7,299 current US$ per person (2025)
- Industry (including construction), value added (current LCU), annual 2.97 % change on previous year (2025)
- Industry (including construction), value added (current LCU), per 0.196 current LCU per US$ of GDP (2025)
- Industry (including construction), value added (current LCU), per 6,460 current LCU per person (2025)
- Industry (including construction), value added (constant 2015 US$) 2.55 % change on previous year (2025)
- Industry (including construction), value added (constant 2015 US$) 0.1611 constant 2015 US$ per US$ of GDP (2025)
- Industry (including construction), value added (constant 2015 US$) 5,310 constant 2015 US$ per person (2025)
Frequently asked questions
- What is real labour productivity by main economic activity (ropi-adjusted for) in Lithuania?
- Real labour productivity by main economic activity (ropi-adjusted for) in Lithuania was 78,235 US dollars per worker, PPP converted in 2024, according to Organisation for Economic Co-operation and Development.
- What is the highest real labour productivity by main economic activity (ropi-adjusted for) recorded in Lithuania?
- The highest recorded value was 79,491 US dollars per worker, PPP converted in 2021.
- What is the lowest real labour productivity by main economic activity (ropi-adjusted for) recorded in Lithuania?
- The lowest recorded value was 33,719 US dollars per worker, PPP converted in 2000.
- How does Lithuania rank for real labour productivity by main economic activity (ropi-adjusted for)?
- Lithuania ranks 28th out of 41 countries with data for 2024.
- Is real labour productivity by main economic activity (ropi-adjusted for) rising or falling in Lithuania?
- Over the last ten years it is up 21.4%. The long-run trend across the full record is rising.
- Where does this Lithuania data come from?
- The figures come from Organisation for Economic Co-operation and Development, published as part of Real labour productivity by main economic activity (ROPI-adjusted for inflation) - Regions. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 25 observations, free to reuse under OECD Terms and Conditions (attribution required).
About this data
This dataset provides indicators on labour productivity for large and small regions. Real values are deflation-adjusted using the Regional Producer Price Index (ROPI), where available. Data source and definition Labour productivity is measured as gross value added per employment at place of work by main economic activity. Regional gross value added and employment data are collected from Eurostat (reg_eco10) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites. In order to allow comparability over time and across countries, data in current prices are transformed into constant prices and PPP measures. Definition of regions Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial grid (pdf) and the OECD Territorial Correspondence Table (xlsx). Use of economic data on small regions When economic analyses are carried out at the TL3 level, it is advisable to aggregate data at the metropolitan region level when several TL3 regions are associated to the same metropolitan region. Metropolitan regions combine TL3 regions when 50% or more of the regional population live in a functionnal urban areas above 250 000 inhabitants. This approach corrects the distortions created by commuting. Correspondence between TL3 and metropolitan regions:(xlsx). Small regions (TL3) are categorized based on shared characteristics into regional typologies. See the economic indicators aggregated by territorial typology at country level on the access to City typology (link) and by urban-rural typology (link). Cite this dataset OECD Regions, Cities and Local Areas database http://oe.cd/geostats. Further information OECD Regions and Cities Statistical Atlas OECD Regions and Cities at a Glance For questions and/or comments, please email RegionStat@oecd.org.