STAN Database for Structural Analysis, 2020 edition — Total employment in Slovenia
Slovenia: STAN Database for Structural Analysis, 2020 edition — Total employment was 1,633 Hours in 2018. ▬ Flat
STAN Database for Structural Analysis, 2020 edition — Total employment in Slovenia, 1995–2018
Source: Organisation for Economic Co-operation and Development. Measured in Hours.
Analysis
The most recent figure for stan database for structural analysis, 2020 edition — total employment in Slovenia is 1,633 Hours, measured in 2018.
That represents a change of up 1.8% on the previous year and down 2.5% over ten years.
Over the whole period, stan database for structural analysis, 2020 edition — total employment in Slovenia peaked at 1,674 Hours in 2008 and was at its lowest, 1,522 Hours, in 1997.
STAN Database for Structural Analysis, 2020 edition — Total employment in Slovenia, year by year
| Year | Hours | Change |
|---|---|---|
| 1995 | 1,620 Hours | — |
| 1996 | 1,562 Hours | -3.6% |
| 1997 | 1,522 Hours | -2.5% |
| 1998 | 1,533 Hours | +0.7% |
| 1999 | 1,558 Hours | +1.6% |
| 2000 | 1,564 Hours | +0.4% |
| 2001 | 1,560 Hours | -0.3% |
| 2002 | 1,608 Hours | +3.1% |
| 2003 | 1,606 Hours | -0.1% |
| 2004 | 1,623 Hours | +1.0% |
| 2005 | 1,578 Hours | -2.8% |
| 2006 | 1,575 Hours | -0.2% |
| 2007 | 1,615 Hours | +2.6% |
| 2008 | 1,674 Hours | +3.7% |
| 2009 | 1,652 Hours | -1.3% |
| 2010 | 1,619 Hours | -2.0% |
| 2011 | 1,576 Hours | -2.7% |
| 2012 | 1,543 Hours | -2.1% |
| 2013 | 1,542 Hours | -0.1% |
| 2014 | 1,567 Hours | +1.6% |
| 2015 | 1,593 Hours | +1.6% |
| 2016 | 1,588 Hours | -0.3% |
| 2017 | 1,605 Hours | +1.0% |
| 2018 | 1,633 Hours | +1.8% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 1,559 Hours | 1,522 Hours | 1,620 Hours | 5 |
| 2000s | 1,605 Hours | 1,560 Hours | 1,674 Hours | 10 |
| 2010s | 1,585 Hours | 1,542 Hours | 1,633 Hours | 9 |
Countries ranked near Slovenia
- 6 Canada 32,797 Hours compare
- 7 Australia 21,981 Hours compare
- 7 Lithuania 2,602 Hours compare
- 8 Latvia 1,710 Hours compare
- 8 Chile 16,293 Hours compare
- 9 Czechia 9,699 Hours compare
- 10 Greece 9,248 Hours compare
- 10 Estonia 1,176 Hours compare
- 11 Portugal 9,179 Hours compare
- 12 Sweden 8,239 Hours compare
More work & labour data for Slovenia
- Africa's Development Dynamics (AfDD) Table 32 - Employment by 63.11 Persons (2022)
- Africa's Development Dynamics (AfDD) Table 32 - Employment by 40.32 Persons (2022)
- Employed persons by professional status and NUTS 2 region 994.3 Thousand persons (2025)
- Employment rates by educational attainment level, citizenship and 72.9% (2025)
- Employed persons by educational attainment level and NUTS 2 region 994.3 Thousand persons (2025)
- Employed persons by job tenure and NUTS 2 region 994.3 Thousand persons (2025)
- Employment rates by educational attainment level, country of birth 72.9% (2025)
- Labour force participation rates by educational attainment level 75.8% (2025)
- Population in private households by country of birth, labour status 1,582 Thousand persons (2025)
- Population in private households by citizenship, labour status and 1,582 Thousand persons (2025)
Frequently asked questions
- What is stan database for structural analysis, 2020 edition — total employment in Slovenia?
- Stan database for structural analysis, 2020 edition — total employment in Slovenia was 1,633 Hours in 2018, according to Organisation for Economic Co-operation and Development.
- What is the highest stan database for structural analysis, 2020 edition — total employment recorded in Slovenia?
- The highest recorded value was 1,674 Hours in 2008.
- What is the lowest stan database for structural analysis, 2020 edition — total employment recorded in Slovenia?
- The lowest recorded value was 1,522 Hours in 1997.
- How does Slovenia rank for stan database for structural analysis, 2020 edition — total employment?
- Slovenia ranks 9th out of 10 countries with data for 2018.
- Is stan database for structural analysis, 2020 edition — total employment rising or falling in Slovenia?
- Over the last ten years it is down 2.5%. The long-run trend across the full record is flat.
- Where does this Slovenia data come from?
- The figures come from Organisation for Economic Co-operation and Development, published as part of STAN Database for Structural Analysis, 2020 edition — Total employment. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 24 observations, free to reuse under OECD Terms and Conditions (attribution required).
About this data
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