STAN Database for Structural Analysis, 2020 edition — Total employment in Poland
Poland: STAN Database for Structural Analysis, 2020 edition — Total employment was 32,843 Hours in 2018. ▲ Rising
STAN Database for Structural Analysis, 2020 edition — Total employment in Poland, 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 Poland is 32,843 Hours, measured in 2018.
The figure is down 0.8% on the previous year and up 0.9% over ten years.
Over the whole period, stan database for structural analysis, 2020 edition — total employment in Poland peaked at 33,109 Hours in 2017 and was at its lowest, 28,358 Hours, in 2003.
The long-run direction has been consistently rising across the 24 years of available data.
STAN Database for Structural Analysis, 2020 edition — Total employment in Poland, year by year
| Year | Hours | Change |
|---|---|---|
| 1995 | 30,785 Hours | — |
| 1996 | 31,156 Hours | +1.2% |
| 1997 | 31,596 Hours | +1.4% |
| 1998 | 31,965 Hours | +1.2% |
| 1999 | 31,198 Hours | -2.4% |
| 2000 | 30,219 Hours | -3.1% |
| 2001 | 29,578 Hours | -2.1% |
| 2002 | 28,613 Hours | -3.3% |
| 2003 | 28,358 Hours | -0.9% |
| 2004 | 28,684 Hours | +1.2% |
| 2005 | 29,225 Hours | +1.9% |
| 2006 | 30,176 Hours | +3.3% |
| 2007 | 31,488 Hours | +4.3% |
| 2008 | 32,559 Hours | +3.4% |
| 2009 | 32,431 Hours | -0.4% |
| 2010 | 31,491 Hours | -2.9% |
| 2011 | 31,588 Hours | +0.3% |
| 2012 | 31,544 Hours | -0.1% |
| 2013 | 31,465 Hours | -0.3% |
| 2014 | 32,112 Hours | +2.1% |
| 2015 | 32,723 Hours | +1.9% |
| 2016 | 33,028 Hours | +0.9% |
| 2017 | 33,109 Hours | +0.2% |
| 2018 | 32,843 Hours | -0.8% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 31,340 Hours | 30,785 Hours | 31,965 Hours | 5 |
| 2000s | 30,133 Hours | 28,358 Hours | 32,559 Hours | 10 |
| 2010s | 32,211 Hours | 31,465 Hours | 33,109 Hours | 9 |
Countries ranked near Poland
- 1 Germany 62,596 Hours compare
- 1 United States 276,623 Hours compare
- 2 Colombia 48,401 Hours compare
- 2 United Kingdom 54,749 Hours compare
- 3 Italy 43,616 Hours compare
- 4 France 43,260 Hours compare
- 5 Netherlands 13,496 Hours compare
- 5 Spain 33,599 Hours compare
- 6 Canada 32,797 Hours compare
- 7 Australia 21,981 Hours compare
- 7 Lithuania 2,602 Hours compare
More work & labour data for Poland
- Africa's Development Dynamics (AfDD) Table 32 - Employment by 1,301 Persons (2022)
- Africa's Development Dynamics (AfDD) Table 32 - Employment by 461.11 Persons (2022)
- Average actual weekly hours worked in the main job of persons who 38.5 Hour (2025)
- Labour force participation rates by NUTS 2 region 64.3% (2025)
- Labour force participation rates by educational attainment level 75.2% (2025)
- Employment rates by NUTS 2 region 62.3% (2025)
- Labour force by NUTS 2 region 17,745 Thousand persons (2025)
- Persons in full-time/part-time employment by professional status and 17,187 Thousand persons (2025)
- Labour force by educational attainment level and NUTS 2 region 17,745 Thousand persons (2025)
- Employed persons by NUTS 2 region 17,187 Thousand persons (2025)
Frequently asked questions
- What is stan database for structural analysis, 2020 edition — total employment in Poland?
- Stan database for structural analysis, 2020 edition — total employment in Poland was 32,843 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 Poland?
- The highest recorded value was 33,109 Hours in 2017.
- What is the lowest stan database for structural analysis, 2020 edition — total employment recorded in Poland?
- The lowest recorded value was 28,358 Hours in 2003.
- How does Poland rank for stan database for structural analysis, 2020 edition — total employment?
- Poland ranks 4th out of 10 countries with data for 2018.
- Is stan database for structural analysis, 2020 edition — total employment rising or falling in Poland?
- Over the last ten years it is up 0.9%. The long-run trend across the full record is rising.
- Where does this Poland 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