STAN Database for Structural Analysis, 2020 edition — Employees in Hungary

Hungary: STAN Database for Structural Analysis, 2020 edition — Employees was 7,269 Hours in 2018. ▲ Rising

Latest (2018)
7,269 Hours
Change on year
up 1.4%
World rank
12th
of 25 countries
All-time high
7,269 Hours
in 2018
All-time low
6,064 Hours
in 2011
Years of data
24
1995–2018

STAN Database for Structural Analysis, 2020 edition — Employees in Hungary, 1995–2018

02.0k4.0k6.0k8.0k1995200620181995: 6.2k Hours1996: 6.1k Hours1997: 6.3k Hours1998: 6.4k Hours1999: 6.5k Hours2000: 6.5k Hours2001: 6.5k Hours2002: 6.4k Hours2003: 6.6k Hours2004: 6.5k Hours2005: 6.5k Hours2006: 6.5k Hours2007: 6.4k Hours2008: 6.2k Hours2009: 6.1k Hours2010: 6.1k Hours2011: 6.1k Hours2012: 6.1k Hours2013: 6.2k Hours2014: 6.6k Hours2015: 6.8k Hours2016: 7.1k Hours2017: 7.2k Hours2018: 7.3k Hours

Source: Organisation for Economic Co-operation and Development. Measured in Hours.

Analysis

In 2018, stan database for structural analysis, 2020 edition — employees in Hungary stood at 7,269 Hours. That is the highest value across all 24 years on record.

The figure is up 1.4% on the previous year and up 16.4% over ten years.

Over the whole period, stan database for structural analysis, 2020 edition — employees in Hungary peaked at 7,269 Hours in 2018 and was at its lowest, 6,064 Hours, in 2011.

Hungary ranks 12th of 25 countries on this measure, in the middle of the range.

The long-run direction has been consistently rising across the 24 years of available data.

STAN Database for Structural Analysis, 2020 edition — Employees in Hungary, year by year

Annual values for STAN Database for Structural Analysis, 2020 edition — Employees in Hungary, 1995 to 2018.
Year Hours Change
1995 6,240 Hours
1996 6,129 Hours -1.8%
1997 6,255 Hours +2.1%
1998 6,359 Hours +1.7%
1999 6,462 Hours +1.6%
2000 6,515 Hours +0.8%
2001 6,487 Hours -0.4%
2002 6,436 Hours -0.8%
2003 6,570 Hours +2.1%
2004 6,504 Hours -1.0%
2005 6,485 Hours -0.3%
2006 6,488 Hours +0.1%
2007 6,377 Hours -1.7%
2008 6,244 Hours -2.1%
2009 6,121 Hours -2.0%
2010 6,117 Hours -0.1%
2011 6,064 Hours -0.9%
2012 6,082 Hours +0.3%
2013 6,231 Hours +2.4%
2014 6,598 Hours +5.9%
2015 6,761 Hours +2.5%
2016 7,088 Hours +4.8%
2017 7,170 Hours +1.1%
2018 7,269 Hours +1.4%

Averages by decade

DecadeAverage LowestHighest Years
1990s 6,289 Hours 6,129 Hours 6,462 Hours 5
2000s 6,423 Hours 6,121 Hours 6,570 Hours 10
2010s 6,598 Hours 6,064 Hours 7,269 Hours 9

Countries ranked near Hungary

  1. 9 Czechia 8,174 Hours compare
  2. 10 Sweden 7,882 Hours compare
  3. 11 Portugal 7,871 Hours compare
  4. 13 Switzerland 7,115 Hours compare
  5. 14 Israel 7,114 Hours compare
  6. 15 Greece 6,255 Hours compare

See the full ranking of 34 places →

More reference data data for Hungary

All data for Hungary →

Frequently asked questions

What is stan database for structural analysis, 2020 edition — employees in Hungary?
Stan database for structural analysis, 2020 edition — employees in Hungary was 7,269 Hours in 2018, according to Organisation for Economic Co-operation and Development.
What is the highest stan database for structural analysis, 2020 edition — employees recorded in Hungary?
The highest recorded value was 7,269 Hours in 2018.
What is the lowest stan database for structural analysis, 2020 edition — employees recorded in Hungary?
The lowest recorded value was 6,064 Hours in 2011.
How does Hungary rank for stan database for structural analysis, 2020 edition — employees?
Hungary ranks 12th out of 25 countries with data for 2018.
Is stan database for structural analysis, 2020 edition — employees rising or falling in Hungary?
Over the last ten years it is up 16.4%. 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 STAN Database for Structural Analysis, 2020 edition — Employees. Statizoid updates them automatically from the source API.

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STAN Database for Structural Analysis, 2020 edition — Employees in Hungary. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 23 August 2026, from https://reference.statizoid.com/stat/stan-database-for-structural-analysis-2020-edition-employees/hungary/

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About this data

Indicator
STAN Database for Structural Analysis, 2020 edition — Employees
Unit
Hours
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
34 places, 957 data points, 1970–2019
Last refreshed

An updated version of this database is available in STAN 2025 edition. STAN is a comprehensive tool for analysing industrial performance at a relatively detailed level of activity across countries. It includes annual measures of output, value added and its components, labour input, investment and capital stock thus allowing to construct indicators which focus on productivity growth, competitiveness and general structural change. STAN is primarily based on Member countries' Annual National Accounts by economic activity tables compiled according to the recommendations of System of National Accounts 2008 (SNA 2008). Previous versions of STAN (from 2000) were based on SNA93 statistics. Missing data are estimated using other sources such as national industrial surveys/censuses. Time series are extended back to the 1970's where possible. This is done using vintage SNA93 or STAN estimates. In STAN, many data points are Secretariat's estimates and are flagged to the attention of users; as such, they do not represent official Member countries' submissions. STAN industry list is based on the International Standard Industrial Classification of all economic activities, Revision 4 (ISIC Rev. 4). Earlier versions of STAN were based on ISIC Rev. 3 and, prior to 2000, ISIC Rev. 2 (the latter covering the manufacturing industries only). The industries covered in STAN provide sufficient detail to highlight technology and digital-intensive sectors. • Structure • Documentation • Coverage Please send comments or questions directly to stan.contact@oecd.org