Costa Rica vs Luxembourg: STAN Database for Structural Analysis, 2020 edition — Employees

Costa Rica
3,439 Hours
in 2019
Luxembourg
635.11 Hours
in 2018
Costa Rica rank
22nd
Luxembourg rank
24th

STAN Database for Structural Analysis, 2020 edition — Employees over time

  • Costa Rica
  • Luxembourg
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How they compare

Costa Rica currently reports 3,439 Hours against 635.11 Hours in Luxembourg, a difference of 2,804 Hours.

That makes Costa Rica's figure about 5.4 times Luxembourg's.

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

Costa Rica ranks 22nd and Luxembourg ranks 24th of 25 countries.

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

Head to head by decade

Decade Costa Rica Luxembourg Difference Ahead
1990s 2,325 Hours 340.74 Hours 1,985 Hours Costa Rica
2000s 2,983 Hours 453 Hours 2,530 Hours Costa Rica
2010s 3,407 Hours 567.12 Hours 2,840 Hours Costa Rica

Averages of every year both report within each decade.

Frequently asked questions

Which has higher stan database for structural analysis, 2020 edition — employees, Costa Rica or Luxembourg?
Costa Rica, at 3,439 Hours against 635.11 Hours in Luxembourg as of 2019.
What is the difference in stan database for structural analysis, 2020 edition — employees between Costa Rica and Luxembourg?
2,804 Hours, with Costa Rica ahead.
How many years of comparable data are there for Costa Rica and Luxembourg?
24 years are reported by both, from 1995 to 2018.
How do Costa Rica and Luxembourg rank globally for stan database for structural analysis, 2020 edition — employees?
Costa Rica ranks 22nd and Luxembourg ranks 24th of 25 countries.
Where does this data come from?
Organisation for Economic Co-operation and Development, published as STAN Database for Structural Analysis, 2020 edition — Employees. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Costa Rica vs Luxembourg: STAN Database for Structural Analysis, 2020 edition — Employees. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 23 August 2026, from https://reference.statizoid.com/compare/stan-database-for-structural-analysis-2020-edition-employees/costa-rica/luxembourg/

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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