Luxembourg vs Norway: STAN Database for Structural Analysis, 2020 edition — Total employment

Luxembourg
675.73 Hours
in 2018
Norway
3,860 Hours
in 2018
Luxembourg rank
24th
Norway rank
23rd

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

  • Luxembourg
  • Norway
01.0k2.0k3.0k4.0k197019942018

How they compare

Norway currently reports 3,860 Hours against 675.73 Hours in Luxembourg, a difference of 3,184 Hours.

That makes Norway's figure about 5.7 times Luxembourg's.

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

Luxembourg ranks 24th and Norway ranks 23rd of 25 countries.

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

Head to head by decade

Decade Luxembourg Norway Difference Ahead
1990s 369.11 Hours 3,284 Hours 2,915 Hours Norway
2000s 483.22 Hours 3,362 Hours 2,879 Hours Norway
2010s 603.24 Hours 3,722 Hours 3,119 Hours Norway

Averages of every year both report within each decade.

Frequently asked questions

Which has higher stan database for structural analysis, 2020 edition — total employment, Luxembourg or Norway?
Norway, at 3,860 Hours against 675.73 Hours in Luxembourg as of 2018.
What is the difference in stan database for structural analysis, 2020 edition — total employment between Luxembourg and Norway?
3,184 Hours, with Norway ahead.
How many years of comparable data are there for Luxembourg and Norway?
24 years are reported by both, from 1995 to 2018.
How do Luxembourg and Norway rank globally for stan database for structural analysis, 2020 edition — total employment?
Luxembourg ranks 24th and Norway ranks 23rd 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 — Total employment. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Luxembourg vs Norway: 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/luxembourg/norway/

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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