Korea vs United Kingdom: STAN Database for Structural Analysis, 2020 edition — Total employment

Korea
53,246 Hours
in 2018
United Kingdom
54,749 Hours
in 2019
Korea rank
3rd
United Kingdom rank
2nd

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

  • Korea
  • United Kingdom
020.0k40.0k60.0k199220052019

How they compare

United Kingdom currently reports 54,749 Hours against 53,246 Hours in Korea, a difference of 1,503 Hours.

The two have swapped places 1 time across 25 shared years of data; in 1994 it was Korea ahead.

Korea ranks 3rd and United Kingdom ranks 2nd of 10 groups.

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

Head to head by decade

Decade Korea United Kingdom Difference Ahead
1990s 52,287 Hours 45,227 Hours 7,060 Hours Korea
2000s 53,138 Hours 47,757 Hours 5,380 Hours Korea
2010s 53,140 Hours 51,035 Hours 2,104 Hours Korea

Averages of every year both report within each decade.

Frequently asked questions

Which has higher stan database for structural analysis, 2020 edition — total employment, Korea or United Kingdom?
United Kingdom, at 54,749 Hours against 53,246 Hours in Korea as of 2019.
What is the difference in stan database for structural analysis, 2020 edition — total employment between Korea and United Kingdom?
1,503 Hours, with United Kingdom ahead.
How many years of comparable data are there for Korea and United Kingdom?
25 years are reported by both, from 1994 to 2018.
How do Korea and United Kingdom rank globally for stan database for structural analysis, 2020 edition — total employment?
Korea ranks 3rd and United Kingdom ranks 2nd of 10 groups.
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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Korea vs United Kingdom: 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/korea/united-kingdom-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