STAN Database for Structural Analysis, 2020 edition — Total employment in Lithuania

Lithuania: STAN Database for Structural Analysis, 2020 edition — Total employment was 2,602 Hours in 2018. ▬ Flat

Latest (2018)
2,602 Hours
Change on year
up 1.8%
World rank
7th
of 10 countries
All-time high
2,757 Hours
in 2008
All-time low
2,380 Hours
in 2011
Years of data
24
1995–2018

STAN Database for Structural Analysis, 2020 edition — Total employment in Lithuania, 1995–2018

01.0k2.0k3.0k1995200620181995: 2.6k Hours1996: 2.6k Hours1997: 2.6k Hours1998: 2.7k Hours1999: 2.5k Hours2000: 2.6k Hours2001: 2.5k Hours2002: 2.5k Hours2003: 2.5k Hours2004: 2.6k Hours2005: 2.7k Hours2006: 2.7k Hours2007: 2.8k Hours2008: 2.8k Hours2009: 2.5k Hours2010: 2.4k Hours2011: 2.4k Hours2012: 2.4k Hours2013: 2.4k Hours2014: 2.5k Hours2015: 2.5k Hours2016: 2.6k Hours2017: 2.6k Hours2018: 2.6k Hours

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

Analysis

Lithuania recorded 2,602 Hours for stan database for structural analysis, 2020 edition — total employment in 2018.

That represents a change of up 1.8% on the previous year and down 5.6% over ten years.

Over the whole period, stan database for structural analysis, 2020 edition — total employment in Lithuania peaked at 2,757 Hours in 2008 and was at its lowest, 2,380 Hours, in 2011.

STAN Database for Structural Analysis, 2020 edition — Total employment in Lithuania, year by year

Annual values for STAN Database for Structural Analysis, 2020 edition — Total employment in Lithuania, 1995 to 2018.
Year Hours Change
1995 2,565 Hours
1996 2,585 Hours +0.8%
1997 2,610 Hours +0.9%
1998 2,659 Hours +1.9%
1999 2,523 Hours -5.1%
2000 2,583 Hours +2.4%
2001 2,465 Hours -4.6%
2002 2,513 Hours +2.0%
2003 2,546 Hours +1.3%
2004 2,649 Hours +4.0%
2005 2,669 Hours +0.8%
2006 2,654 Hours -0.6%
2007 2,751 Hours +3.6%
2008 2,757 Hours +0.2%
2009 2,453 Hours -11.1%
2010 2,398 Hours -2.2%
2011 2,380 Hours -0.8%
2012 2,422 Hours +1.8%
2013 2,433 Hours +0.5%
2014 2,472 Hours +1.6%
2015 2,542 Hours +2.8%
2016 2,632 Hours +3.6%
2017 2,555 Hours -2.9%
2018 2,602 Hours +1.8%

Averages by decade

DecadeAverage LowestHighest Years
1990s 2,588 Hours 2,523 Hours 2,659 Hours 5
2000s 2,604 Hours 2,453 Hours 2,757 Hours 10
2010s 2,493 Hours 2,380 Hours 2,632 Hours 9

Countries ranked near Lithuania

  1. 4 Poland 32,843 Hours compare
  2. 4 France 43,260 Hours compare
  3. 5 Netherlands 13,496 Hours compare
  4. 5 Spain 33,599 Hours compare
  5. 6 Canada 32,797 Hours compare
  6. 7 Australia 21,981 Hours compare
  7. 8 Latvia 1,710 Hours compare
  8. 8 Chile 16,293 Hours compare
  9. 9 Slovenia 1,633 Hours compare
  10. 9 Czechia 9,699 Hours compare
  11. 10 Greece 9,248 Hours compare
  12. 10 Estonia 1,176 Hours compare

See the full ranking of 35 places →

More work & labour data for Lithuania

All data for Lithuania →

Frequently asked questions

What is stan database for structural analysis, 2020 edition — total employment in Lithuania?
Stan database for structural analysis, 2020 edition — total employment in Lithuania was 2,602 Hours in 2018, according to Organisation for Economic Co-operation and Development.
What is the highest stan database for structural analysis, 2020 edition — total employment recorded in Lithuania?
The highest recorded value was 2,757 Hours in 2008.
What is the lowest stan database for structural analysis, 2020 edition — total employment recorded in Lithuania?
The lowest recorded value was 2,380 Hours in 2011.
How does Lithuania rank for stan database for structural analysis, 2020 edition — total employment?
Lithuania ranks 7th out of 10 countries with data for 2018.
Is stan database for structural analysis, 2020 edition — total employment rising or falling in Lithuania?
Over the last ten years it is down 5.6%. The long-run trend across the full record is flat.
Where does this Lithuania 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 — Total employment. Statizoid updates them automatically from the source API.

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STAN Database for Structural Analysis, 2020 edition — Total employment in Lithuania. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 05 September 2026, from https://labour.statizoid.com/stat/stan-database-for-structural-analysis-2020-edition-total-employment/lithuania-2/

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About this data

Indicator
STAN Database for Structural Analysis, 2020 edition — Total employment
Unit
Hours
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
35 places, 1,028 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