Real labour productivity by main economic activity (ROPI-adjusted for) in Hungary
Hungary: Real labour productivity by main economic activity (ROPI-adjusted for) was 68,300 US dollars per worker, PPP converted in 2024. ▲ Rising
Real labour productivity by main economic activity (ROPI-adjusted for) in Hungary, 2000–2024
Source: Organisation for Economic Co-operation and Development. Measured in US dollars per worker, PPP converted.
Analysis
Hungary recorded 68,300 US dollars per worker, PPP converted for real labour productivity by main economic activity (ropi-adjusted for) in 2024.
Compared with earlier readings it is up 0.2% on the previous year and up 15.4% over ten years.
Over the whole period, real labour productivity by main economic activity (ropi-adjusted for) in Hungary peaked at 68,723 US dollars per worker, PPP converted in 2022 and was at its lowest, 45,570 US dollars per worker, PPP converted, in 2000.
Hungary ranks 33rd of 41 countries on this measure, in the bottom quarter.
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 Hungary, year by year
| Year | US dollars per worker, PPP converted | Change |
|---|---|---|
| 2000 | 45,570 US dollars per worker, PPP converted | — |
| 2001 | 47,397 US dollars per worker, PPP converted | +4.0% |
| 2002 | 49,747 US dollars per worker, PPP converted | +5.0% |
| 2003 | 50,792 US dollars per worker, PPP converted | +2.1% |
| 2004 | 53,802 US dollars per worker, PPP converted | +5.9% |
| 2005 | 56,477 US dollars per worker, PPP converted | +5.0% |
| 2006 | 58,152 US dollars per worker, PPP converted | +3.0% |
| 2007 | 58,661 US dollars per worker, PPP converted | +0.9% |
| 2008 | 60,342 US dollars per worker, PPP converted | +2.9% |
| 2009 | 57,291 US dollars per worker, PPP converted | -5.1% |
| 2010 | 58,499 US dollars per worker, PPP converted | +2.1% |
| 2011 | 59,731 US dollars per worker, PPP converted | +2.1% |
| 2012 | 58,383 US dollars per worker, PPP converted | -2.3% |
| 2013 | 59,078 US dollars per worker, PPP converted | +1.2% |
| 2014 | 59,164 US dollars per worker, PPP converted | +0.1% |
| 2015 | 59,845 US dollars per worker, PPP converted | +1.2% |
| 2016 | 59,421 US dollars per worker, PPP converted | -0.7% |
| 2017 | 60,745 US dollars per worker, PPP converted | +2.2% |
| 2018 | 63,067 US dollars per worker, PPP converted | +3.8% |
| 2019 | 65,380 US dollars per worker, PPP converted | +3.7% |
| 2020 | 63,658 US dollars per worker, PPP converted | -2.6% |
| 2021 | 66,888 US dollars per worker, PPP converted | +5.1% |
| 2022 | 68,723 US dollars per worker, PPP converted | +2.7% |
| 2023 | 68,171 US dollars per worker, PPP converted | -0.8% |
| 2024 | 68,300 US dollars per worker, PPP converted | +0.2% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 53,823 US dollars per worker, PPP converted | 45,570 US dollars per worker, PPP converted | 60,342 US dollars per worker, PPP converted | 10 |
| 2010s | 60,331 US dollars per worker, PPP converted | 58,383 US dollars per worker, PPP converted | 65,380 US dollars per worker, PPP converted | 10 |
| 2020s | 67,148 US dollars per worker, PPP converted | 63,658 US dollars per worker, PPP converted | 68,723 US dollars per worker, PPP converted | 5 |
Countries ranked near Hungary
- 30 Croatia 75,425 US dollars per worker, PPP converted compare
- 31 Portugal 72,342 US dollars per worker, PPP converted compare
- 32 Estonia 70,665 US dollars per worker, PPP converted compare
- 34 Latvia 63,922 US dollars per worker, PPP converted compare
- 35 Greece 63,267 US dollars per worker, PPP converted compare
- 36 Chile 56,054 US dollars per worker, PPP converted compare
More economy & growth data for Hungary
- Africa's Development Dynamics (AfDD) Table 04 - Annual real GDP 3.53 Percent per annum (2029)
- Africa's Development Dynamics (AfDD) Table 02 - Annual real GDP 3.2 Percent per annum (2029)
- Exports of goods and services (current LCU), annual growth rate 1.81 % change on previous year (2025)
- Exports of goods and services (current LCU), per unit of GDP 256.49 current LCU per US$ of GDP (2025)
- Exports of goods and services (current LCU), per capita 6.64 million current LCU per person (2025)
- Exports of goods and services (constant 2015 US$), annual growth rate -1.08 % change on previous year (2025)
- Exports of goods and services (constant 2015 US$), per unit of GDP 0.6129 constant 2015 US$ per US$ of GDP (2025)
- Exports of goods and services (constant 2015 US$), per capita 15,878 constant 2015 US$ per person (2025)
- Gross fixed capital formation (current US$), annual growth rate 4.6 % change on previous year (2025)
- Gross fixed capital formation (current US$), per unit of GDP 0.2194 current US$ per US$ of GDP (2025)
Frequently asked questions
- What is real labour productivity by main economic activity (ropi-adjusted for) in Hungary?
- Real labour productivity by main economic activity (ropi-adjusted for) in Hungary was 68,300 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 Hungary?
- The highest recorded value was 68,723 US dollars per worker, PPP converted in 2022.
- What is the lowest real labour productivity by main economic activity (ropi-adjusted for) recorded in Hungary?
- The lowest recorded value was 45,570 US dollars per worker, PPP converted in 2000.
- How does Hungary rank for real labour productivity by main economic activity (ropi-adjusted for)?
- Hungary ranks 33rd out of 41 countries with data for 2024.
- Is real labour productivity by main economic activity (ropi-adjusted for) rising or falling in Hungary?
- Over the last ten years it is up 15.4%. The long-run trend across the full record is rising.
- Where does this Hungary 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.
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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.