STAN Database for Structural Analysis, 2020 edition — Total employment in Germany
Germany: STAN Database for Structural Analysis, 2020 edition — Total employment was 62,596 Hours in 2019. ▬ Flat
STAN Database for Structural Analysis, 2020 edition — Total employment in Germany, 1991–2019
Source: Organisation for Economic Co-operation and Development. Measured in Hours.
Analysis
Germany recorded 62,596 Hours for stan database for structural analysis, 2020 edition — total employment in 2019. That is the highest value across all 29 years on record.
Compared with earlier readings it is up 0.6% on the previous year and up 8.9% over ten years.
Over the whole period, stan database for structural analysis, 2020 edition — total employment in Germany peaked at 62,596 Hours in 2019 and was at its lowest, 56,310 Hours, in 2005.
That places Germany 1st out of 25 countries with data for 2019, putting it in the top 10%.
STAN Database for Structural Analysis, 2020 edition — Total employment in Germany, year by year
| Year | Hours | Change |
|---|---|---|
| 1991 | 60,408 Hours | — |
| 1992 | 60,037 Hours | -0.6% |
| 1993 | 58,316 Hours | -2.9% |
| 1994 | 58,204 Hours | -0.2% |
| 1995 | 58,226 Hours | +0.0% |
| 1996 | 57,723 Hours | -0.9% |
| 1997 | 57,352 Hours | -0.6% |
| 1998 | 57,918 Hours | +1.0% |
| 1999 | 58,348 Hours | +0.7% |
| 2000 | 58,595 Hours | +0.4% |
| 2001 | 58,121 Hours | -0.8% |
| 2002 | 57,473 Hours | -1.1% |
| 2003 | 56,635 Hours | -1.5% |
| 2004 | 56,783 Hours | +0.3% |
| 2005 | 56,310 Hours | -0.8% |
| 2006 | 57,539 Hours | +2.2% |
| 2007 | 58,559 Hours | +1.8% |
| 2008 | 59,106 Hours | +0.9% |
| 2009 | 57,471 Hours | -2.8% |
| 2010 | 58,524 Hours | +1.8% |
| 2011 | 59,279 Hours | +1.3% |
| 2012 | 59,162 Hours | -0.2% |
| 2013 | 59,140 Hours | -0.0% |
| 2014 | 59,827 Hours | +1.2% |
| 2015 | 60,412 Hours | +1.0% |
| 2016 | 60,933 Hours | +0.9% |
| 2017 | 61,483 Hours | +0.9% |
| 2018 | 62,229 Hours | +1.2% |
| 2019 | 62,596 Hours | +0.6% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 58,504 Hours | 57,352 Hours | 60,408 Hours | 9 |
| 2000s | 57,659 Hours | 56,310 Hours | 59,106 Hours | 10 |
| 2010s | 60,358 Hours | 58,524 Hours | 62,596 Hours | 10 |
Countries ranked near Germany
More work & labour data for Germany
- Population - Est. & Proj. — Total Population - Both sexes, annual -0.0436 % change on previous year (2100)
- Population - Est. & Proj. — Total Population - Male, annual growth -0.0549 % change on previous year (2100)
- Population - Est. & Proj. — Total Population - Female, annual growth -0.0322 % change on previous year (2100)
- Population - Est. & Proj. — Rural population, annual growth rate -1.95 % change on previous year (2050)
- Population - Est. & Proj. — Urban population, annual growth rate 0.0388 % change on previous year (2050)
- Population - Est. & Proj. — Urban population 66,826 1000 No (2050)
- Population - Est. & Proj. — Rural population 12,413 1000 No (2050)
- Population - Est. & Proj. — Total Population - Female 35,391 1000 No (2100)
- Population - Est. & Proj. — Total Population - Male 35,508 1000 No (2100)
- Population - Est. & Proj. — Total Population - Both sexes 70,900 1000 No (2100)
Frequently asked questions
- What is stan database for structural analysis, 2020 edition — total employment in Germany?
- Stan database for structural analysis, 2020 edition — total employment in Germany was 62,596 Hours in 2019, according to Organisation for Economic Co-operation and Development.
- What is the highest stan database for structural analysis, 2020 edition — total employment recorded in Germany?
- The highest recorded value was 62,596 Hours in 2019.
- What is the lowest stan database for structural analysis, 2020 edition — total employment recorded in Germany?
- The lowest recorded value was 56,310 Hours in 2005.
- How does Germany rank for stan database for structural analysis, 2020 edition — total employment?
- Germany ranks 1st out of 25 countries with data for 2019.
- Is stan database for structural analysis, 2020 edition — total employment rising or falling in Germany?
- Over the last ten years it is up 8.9%. The long-run trend across the full record is flat.
- Where does this Germany 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 — 29 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