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

Spain: STAN Database for Structural Analysis, 2020 edition — Employees was 27,581 Hours in 2018. ▲ Rising

Latest (2018)
27,581 Hours
Change on year
up 3.2%
World rank
6th
of 25 countries
All-time high
30,021 Hours
in 2008
All-time low
18,500 Hours
in 1995
Years of data
24
1995–2018

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

010.0k20.0k30.0k1995200620181995: 18.5k Hours1996: 19.0k Hours1997: 20.1k Hours1998: 21.2k Hours1999: 22.4k Hours2000: 23.6k Hours2001: 24.6k Hours2002: 25.4k Hours2003: 26.2k Hours2004: 27.0k Hours2005: 28.0k Hours2006: 29.1k Hours2007: 29.9k Hours2008: 30.0k Hours2009: 28.2k Hours2010: 27.5k Hours2011: 26.8k Hours2012: 25.3k Hours2013: 24.3k Hours2014: 24.5k Hours2015: 25.4k Hours2016: 26.0k Hours2017: 26.7k Hours2018: 27.6k Hours

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

Analysis

The most recent figure for stan database for structural analysis, 2020 edition — employees in Spain is 27,581 Hours, measured in 2018.

That represents a change of up 3.2% on the previous year and down 8.1% over ten years.

Over the whole period, stan database for structural analysis, 2020 edition — employees in Spain peaked at 30,021 Hours in 2008 and was at its lowest, 18,500 Hours, in 1995.

That places Spain 6th out of 25 countries with data for 2018, putting it in the top quarter.

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

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

Annual values for STAN Database for Structural Analysis, 2020 edition — Employees in Spain, 1995 to 2018.
Year Hours Change
1995 18,500 Hours
1996 18,963 Hours +2.5%
1997 20,080 Hours +5.9%
1998 21,177 Hours +5.5%
1999 22,430 Hours +5.9%
2000 23,650 Hours +5.4%
2001 24,634 Hours +4.2%
2002 25,404 Hours +3.1%
2003 26,225 Hours +3.2%
2004 26,993 Hours +2.9%
2005 27,986 Hours +3.7%
2006 29,089 Hours +3.9%
2007 29,885 Hours +2.7%
2008 30,021 Hours +0.5%
2009 28,208 Hours -6.0%
2010 27,541 Hours -2.4%
2011 26,845 Hours -2.5%
2012 25,258 Hours -5.9%
2013 24,281 Hours -3.9%
2014 24,524 Hours +1.0%
2015 25,354 Hours +3.4%
2016 26,018 Hours +2.6%
2017 26,718 Hours +2.7%
2018 27,581 Hours +3.2%

Averages by decade

DecadeAverage LowestHighest Years
1990s 20,230 Hours 18,500 Hours 22,430 Hours 5
2000s 27,209 Hours 23,650 Hours 30,021 Hours 10
2010s 26,013 Hours 24,281 Hours 27,581 Hours 9

Countries ranked near Spain

  1. 3 France 36,175 Hours compare
  2. 4 Italy 30,782 Hours compare
  3. 5 Canada 30,234 Hours compare
  4. 7 Colombia 26,182 Hours
  5. 8 Chile 12,417 Hours compare
  6. 9 Czechia 8,174 Hours compare

See the full ranking of 34 places →

More reference data data for Spain

All data for Spain →

Frequently asked questions

What is stan database for structural analysis, 2020 edition — employees in Spain?
Stan database for structural analysis, 2020 edition — employees in Spain was 27,581 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 Spain?
The highest recorded value was 30,021 Hours in 2008.
What is the lowest stan database for structural analysis, 2020 edition — employees recorded in Spain?
The lowest recorded value was 18,500 Hours in 1995.
How does Spain rank for stan database for structural analysis, 2020 edition — employees?
Spain ranks 6th out of 25 countries with data for 2018.
Is stan database for structural analysis, 2020 edition — employees rising or falling in Spain?
Over the last ten years it is down 8.1%. The long-run trend across the full record is rising.
Where does this Spain 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 Spain. 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/spain/

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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