Croatia vs Lithuania: Real labour productivity by main economic activity (ROPI-adjusted for)

Croatia
75,425 US dollars per worker, PPP converted
in 2024
Lithuania
78,235 US dollars per worker, PPP converted
in 2024
Croatia rank
30th
Lithuania rank
28th

Real labour productivity by main economic activity (ROPI-adjusted for) over time

  • Croatia
  • Lithuania
020.0k40.0k60.0k80.0k200020122024

How they compare

Lithuania currently reports 78,235 US dollars per worker, PPP converted against 75,425 US dollars per worker, PPP converted in Croatia, a difference of 2,810 US dollars per worker, PPP converted.

The two have swapped places 3 times across 25 shared years of data; in 2000 it was Croatia ahead.

Croatia ranks 30th and Lithuania ranks 28th of 41 countries.

Across the 3 decades both report, Croatia averaged higher in 1 and Lithuania in 2.

Head to head by decade

Decade Croatia Lithuania Difference Ahead
2000s 57,231 US dollars per worker, PPP converted 46,289 US dollars per worker, PPP converted 10,942 US dollars per worker, PPP converted Croatia
2010s 64,216 US dollars per worker, PPP converted 65,269 US dollars per worker, PPP converted 1,053 US dollars per worker, PPP converted Lithuania
2020s 72,672 US dollars per worker, PPP converted 77,615 US dollars per worker, PPP converted 4,943 US dollars per worker, PPP converted Lithuania

Averages of every year both report within each decade.

Frequently asked questions

Which has higher real labour productivity by main economic activity (ropi-adjusted for), Croatia or Lithuania?
Lithuania, at 78,235 US dollars per worker, PPP converted against 75,425 US dollars per worker, PPP converted in Croatia as of 2024.
What is the difference in real labour productivity by main economic activity (ropi-adjusted for) between Croatia and Lithuania?
2,810 US dollars per worker, PPP converted, with Lithuania ahead.
How many years of comparable data are there for Croatia and Lithuania?
25 years are reported by both, from 2000 to 2024.
How do Croatia and Lithuania rank globally for real labour productivity by main economic activity (ropi-adjusted for)?
Croatia ranks 30th and Lithuania ranks 28th of 41 countries.
Where does this data come from?
Organisation for Economic Co-operation and Development, published as Real labour productivity by main economic activity (ROPI-adjusted for inflation) - Regions. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Croatia vs Lithuania: Real labour productivity by main economic activity (ROPI-adjusted for). Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 10 September 2026, from https://economy.statizoid.com/compare/real-labour-productivity-by-main-economic-activity-ropi-adjusted-for-inflation-regions/croatia/lithuania/

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About this data

Indicator
Real labour productivity by main economic activity (ROPI-adjusted for inflation) - Regions
Unit
US dollars per worker, PPP converted
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
45 places, 1,131 data points, 1981–2024
Last refreshed

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.