STAN Database for Structural Analysis, 2025 edition — Employees in Lithuania

Lithuania: STAN Database for Structural Analysis, 2025 edition — Employees was 2,500 Hours in 2024. ▲ Rising

Latest (2024)
2,500 Hours
Change on year
up 3.1%
Rank
7th
of 10 groups
All-time high
2,500 Hours
in 2024
All-time low
2,004 Hours
in 2001
Years of data
30
1995–2024

STAN Database for Structural Analysis, 2025 edition — Employees in Lithuania, 1995–2024

05001.0k1.5k2.0k2.5k1995200920241995: 2.1k Hours1996: 2.0k Hours1997: 2.0k Hours1998: 2.1k Hours1999: 2.0k Hours2000: 2.1k Hours2001: 2.0k Hours2002: 2.0k Hours2003: 2.1k Hours2004: 2.2k Hours2005: 2.2k Hours2006: 2.2k Hours2007: 2.4k Hours2008: 2.4k Hours2009: 2.2k Hours2010: 2.1k Hours2011: 2.1k Hours2012: 2.1k Hours2013: 2.1k Hours2014: 2.2k Hours2015: 2.2k Hours2016: 2.3k Hours2017: 2.2k Hours2018: 2.3k Hours2019: 2.3k Hours2020: 2.2k Hours2021: 2.3k Hours2022: 2.3k Hours2023: 2.4k Hours2024: 2.5k Hours

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

Analysis

In 2024, stan database for structural analysis, 2025 edition — employees in Lithuania stood at 2,500 Hours. That is the highest value across all 30 years on record.

Compared with earlier readings it is up 3.1% on the previous year and up 16.0% over ten years.

Over the whole period, stan database for structural analysis, 2025 edition — employees in Lithuania peaked at 2,500 Hours in 2024 and was at its lowest, 2,004 Hours, in 2001.

The long-run direction has been consistently rising across the 30 years of available data.

STAN Database for Structural Analysis, 2025 edition — Employees in Lithuania, year by year

Annual values for STAN Database for Structural Analysis, 2025 edition — Employees in Lithuania, 1995 to 2024.
Year Hours Change
1995 2,108 Hours
1996 2,009 Hours -4.7%
1997 2,018 Hours +0.5%
1998 2,097 Hours +3.9%
1999 2,037 Hours -2.8%
2000 2,101 Hours +3.1%
2001 2,004 Hours -4.6%
2002 2,042 Hours +1.9%
2003 2,077 Hours +1.7%
2004 2,195 Hours +5.7%
2005 2,245 Hours +2.3%
2006 2,229 Hours -0.7%
2007 2,375 Hours +6.5%
2008 2,445 Hours +3.0%
2009 2,169 Hours -11.3%
2010 2,118 Hours -2.3%
2011 2,104 Hours -0.7%
2012 2,131 Hours +1.3%
2013 2,126 Hours -0.3%
2014 2,155 Hours +1.4%
2015 2,209 Hours +2.5%
2016 2,294 Hours +3.9%
2017 2,234 Hours -2.6%
2018 2,284 Hours +2.2%
2019 2,299 Hours +0.7%
2020 2,189 Hours -4.8%
2021 2,252 Hours +2.9%
2022 2,345 Hours +4.2%
2023 2,424 Hours +3.4%
2024 2,500 Hours +3.1%

Averages by decade

DecadeAverage LowestHighest Years
1990s 2,054 Hours 2,009 Hours 2,108 Hours 5
2000s 2,188 Hours 2,004 Hours 2,445 Hours 10
2010s 2,195 Hours 2,104 Hours 2,299 Hours 10
2020s 2,342 Hours 2,189 Hours 2,500 Hours 5

Countries ranked near Lithuania

  1. 4 France 37,425 Hours compare
  2. 5 Canada 33,731 Hours compare
  3. 6 Italy 33,617 Hours compare
  4. 7 Spain 29,826 Hours compare
  5. 8 Colombia 27,165 Hours compare
  6. 9 Portugal 8,824 Hours compare
  7. 10 Sweden 8,160 Hours compare

See the full ranking of 36 places →

More reference data data for Lithuania

All data for Lithuania →

Frequently asked questions

What is stan database for structural analysis, 2025 edition — employees in Lithuania?
Stan database for structural analysis, 2025 edition — employees in Lithuania was 2,500 Hours in 2024, according to Organisation for Economic Co-operation and Development.
What is the highest stan database for structural analysis, 2025 edition — employees recorded in Lithuania?
The highest recorded value was 2,500 Hours in 2024.
What is the lowest stan database for structural analysis, 2025 edition — employees recorded in Lithuania?
The lowest recorded value was 2,004 Hours in 2001.
How does Lithuania rank for stan database for structural analysis, 2025 edition — employees?
Lithuania ranks 7th out of 10 groups with data for 2024.
Is stan database for structural analysis, 2025 edition — employees rising or falling in Lithuania?
Over the last ten years it is up 16.0%. The long-run trend across the full record is rising.
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, 2025 edition — Employees. Statizoid updates them automatically from the source API.

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STAN Database for Structural Analysis, 2025 edition — Employees in Lithuania. 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-2025-edition-employees/lithuania-2/

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About this data

Indicator
STAN Database for Structural Analysis, 2025 edition — Employees
Unit
Hours
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
36 places, 1,237 data points, 1970–2025
Last refreshed

STAN database 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). The database provides annual measures of output, value added and its components, labour input, investment and capital stock at a relatively detailed level of activity across countries. 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) and covers sufficient detail to highlight technology and digital-intensive sectors. Earlier versions of STAN were using ISIC Rev. 3 and, prior to 2000, ISIC Rev. 2 (the latter only covering the manufacturing industries). • Structure • Documentation Note that STAN is updated on a rolling basis as national data become available. Please, send comments or questions directly to stan.contact@oecd.org.