Estonia vs Lithuania: STAN Database for Structural Analysis, 2020 edition — Total employment

Estonia
1,176 Hours
in 2018
Lithuania
2,602 Hours
in 2018
Estonia rank
10th
Lithuania rank
7th

STAN Database for Structural Analysis, 2020 edition — Total employment over time

  • Estonia
  • Lithuania
01.0k2.0k3.0k199520062018

How they compare

Lithuania currently reports 2,602 Hours against 1,176 Hours in Estonia, a difference of 1,426 Hours.

That makes Lithuania's figure about 2.2 times Estonia's.

Across all 24 years both countries report, Lithuania has been ahead every year.

Estonia ranks 10th and Lithuania ranks 7th of 10 countries.

Lithuania has averaged higher in every one of the 3 decades both report.

Head to head by decade

Decade Estonia Lithuania Difference Ahead
1990s 1,245 Hours 2,588 Hours 1,343 Hours Lithuania
2000s 1,198 Hours 2,604 Hours 1,406 Hours Lithuania
2010s 1,133 Hours 2,493 Hours 1,360 Hours Lithuania

Averages of every year both report within each decade.

Frequently asked questions

Which has higher stan database for structural analysis, 2020 edition — total employment, Estonia or Lithuania?
Lithuania, at 2,602 Hours against 1,176 Hours in Estonia as of 2018.
What is the difference in stan database for structural analysis, 2020 edition — total employment between Estonia and Lithuania?
1,426 Hours, with Lithuania ahead.
How many years of comparable data are there for Estonia and Lithuania?
24 years are reported by both, from 1995 to 2018.
How do Estonia and Lithuania rank globally for stan database for structural analysis, 2020 edition — total employment?
Estonia ranks 10th and Lithuania ranks 7th of 10 countries.
Where does this data come from?
Organisation for Economic Co-operation and Development, published as STAN Database for Structural Analysis, 2020 edition — Total employment. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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