Germany vs United Kingdom: STAN Database for Structural Analysis, 2020 edition — Employees

Germany
54,829 Hours
in 2019
United Kingdom
46,070 Hours
in 2019
Germany rank
2nd
United Kingdom rank
2nd

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

  • Germany
  • United Kingdom
020.0k40.0k60.0k199120052019

How they compare

Germany currently reports 54,829 Hours against 46,070 Hours in United Kingdom, a difference of 8,759 Hours.

That makes Germany's figure about 1.2 times United Kingdom's.

Across all 26 years both countries report, Germany has been ahead every year.

Germany ranks 2nd and United Kingdom ranks 2nd of 25 countries.

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

Head to head by decade

Decade Germany United Kingdom Difference Ahead
1990s 49,099 Hours 38,120 Hours 10,980 Hours Germany
2000s 48,550 Hours 40,928 Hours 7,622 Hours Germany
2010s 51,737 Hours 43,412 Hours 8,325 Hours Germany

Averages of every year both report within each decade.

Frequently asked questions

Which has higher stan database for structural analysis, 2020 edition — employees, Germany or United Kingdom?
Germany, at 54,829 Hours against 46,070 Hours in United Kingdom as of 2019.
What is the difference in stan database for structural analysis, 2020 edition — employees between Germany and United Kingdom?
8,759 Hours, with Germany ahead.
How many years of comparable data are there for Germany and United Kingdom?
26 years are reported by both, from 1994 to 2019.
How do Germany and United Kingdom rank globally for stan database for structural analysis, 2020 edition — employees?
Germany ranks 2nd and United Kingdom ranks 2nd 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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Germany vs United Kingdom: 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/germany/united-kingdom-2/

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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