Portugal vs Sweden: STAN Database for Structural Analysis, 2020 edition — Total employment

Portugal
9,179 Hours
in 2018
Sweden
8,239 Hours
in 2019
Portugal rank
11th
Sweden rank
12th

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

  • Portugal
  • Sweden
02.0k4.0k6.0k8.0k10.0k198019992019

How they compare

Portugal currently reports 9,179 Hours against 8,239 Hours in Sweden, a difference of 940 Hours.

That makes Portugal's figure about 1.1 times Sweden's.

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

Portugal ranks 11th and Sweden ranks 12th of 25 countries.

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

Head to head by decade

Decade Portugal Sweden Difference Ahead
1990s 8,998 Hours 6,805 Hours 2,193 Hours Portugal
2000s 9,616 Hours 7,107 Hours 2,509 Hours Portugal
2010s 8,769 Hours 7,762 Hours 1,008 Hours Portugal

Averages of every year both report within each decade.

Frequently asked questions

Which has higher stan database for structural analysis, 2020 edition — total employment, Portugal or Sweden?
Portugal, at 9,179 Hours against 8,239 Hours in Sweden as of 2018.
What is the difference in stan database for structural analysis, 2020 edition — total employment between Portugal and Sweden?
940 Hours, with Portugal ahead.
How many years of comparable data are there for Portugal and Sweden?
24 years are reported by both, from 1995 to 2018.
How do Portugal and Sweden rank globally for stan database for structural analysis, 2020 edition — total employment?
Portugal ranks 11th and Sweden ranks 12th 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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Portugal vs Sweden: 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/portugal/sweden/

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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