Denmark vs Finland: STAN Database for Structural Analysis, 2020 edition — Employees

Denmark
3,792 Hours
in 2018
Finland
3,598 Hours
in 2018
Denmark rank
18th
Finland rank
21st

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

  • Denmark
  • Finland
01.0k2.0k3.0k4.0k197019942018

How they compare

Denmark currently reports 3,792 Hours against 3,598 Hours in Finland, a difference of 194 Hours.

That makes Denmark's figure about 1.1 times Finland's.

The two have swapped places 5 times across 44 shared years of data; in 1975 it was Finland ahead.

Denmark ranks 18th and Finland ranks 21st of 25 countries.

Across the 5 decades both report, Denmark averaged higher in 4 and Finland in 1.

Head to head by decade

Decade Denmark Finland Difference Ahead
1970s 3,269 Hours 3,217 Hours 52.97 Hours Denmark
1980s 3,372 Hours 3,421 Hours 48.77 Hours Finland
1990s 3,358 Hours 3,060 Hours 298.14 Hours Denmark
2000s 3,697 Hours 3,409 Hours 287.41 Hours Denmark
2010s 3,688 Hours 3,484 Hours 203.45 Hours Denmark

Averages of every year both report within each decade.

Frequently asked questions

Which has higher stan database for structural analysis, 2020 edition — employees, Denmark or Finland?
Denmark, at 3,792 Hours against 3,598 Hours in Finland as of 2018.
What is the difference in stan database for structural analysis, 2020 edition — employees between Denmark and Finland?
194 Hours, with Denmark ahead.
How many years of comparable data are there for Denmark and Finland?
44 years are reported by both, from 1975 to 2018.
How do Denmark and Finland rank globally for stan database for structural analysis, 2020 edition — employees?
Denmark ranks 18th and Finland ranks 21st 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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Denmark vs Finland: STAN Database for Structural Analysis, 2020 edition — Employees. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 24 August 2026, from https://reference.statizoid.com/compare/stan-database-for-structural-analysis-2020-edition-employees/denmark/finland/

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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