STAN Database for Structural Analysis, 2020 edition — Total employment in Luxembourg
Luxembourg: STAN Database for Structural Analysis, 2020 edition — Total employment was 675.73 Hours in 2018. ▲ Rising
STAN Database for Structural Analysis, 2020 edition — Total employment in Luxembourg, 1995–2018
Source: Organisation for Economic Co-operation and Development. Measured in Hours.
Analysis
Luxembourg recorded 675.73 Hours for stan database for structural analysis, 2020 edition — total employment in 2018. That is the highest value across all 24 years on record.
That represents a change of up 3.7% on the previous year and up 23.4% over ten years.
Over the whole period, stan database for structural analysis, 2020 edition — total employment in Luxembourg peaked at 675.73 Hours in 2018 and was at its lowest, 344.16 Hours, in 1995.
That places Luxembourg 24th out of 25 countries with data for 2018, putting it in the bottom quarter.
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 Luxembourg, year by year
| Year | Hours | Change |
|---|---|---|
| 1995 | 344.16 Hours | — |
| 1996 | 354.65 Hours | +3.0% |
| 1997 | 366.33 Hours | +3.3% |
| 1998 | 381.26 Hours | +4.1% |
| 1999 | 399.15 Hours | +4.7% |
| 2000 | 423.06 Hours | +6.0% |
| 2001 | 442.62 Hours | +4.6% |
| 2002 | 453.97 Hours | +2.6% |
| 2003 | 461.84 Hours | +1.7% |
| 2004 | 472.4 Hours | +2.3% |
| 2005 | 476.87 Hours | +0.9% |
| 2006 | 495.92 Hours | +4.0% |
| 2007 | 522.44 Hours | +5.3% |
| 2008 | 547.59 Hours | +4.8% |
| 2009 | 535.5 Hours | -2.2% |
| 2010 | 545.27 Hours | +1.8% |
| 2011 | 560.82 Hours | +2.9% |
| 2012 | 571.78 Hours | +2.0% |
| 2013 | 580.14 Hours | +1.5% |
| 2014 | 596.36 Hours | +2.8% |
| 2015 | 614.73 Hours | +3.1% |
| 2016 | 632.77 Hours | +2.9% |
| 2017 | 651.53 Hours | +3.0% |
| 2018 | 675.73 Hours | +3.7% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 369.11 Hours | 344.16 Hours | 399.15 Hours | 5 |
| 2000s | 483.22 Hours | 423.06 Hours | 547.59 Hours | 10 |
| 2010s | 603.24 Hours | 545.27 Hours | 675.73 Hours | 9 |
Countries ranked near Luxembourg
More work & labour data for Luxembourg
- Population - Est. & Proj. — Total Population - Both sexes, annual -0.2379 % change on previous year (2100)
- Population - Est. & Proj. — Total Population - Male, annual growth -0.2434 % change on previous year (2100)
- Population - Est. & Proj. — Total Population - Female, annual growth -0.2321 % change on previous year (2100)
- Population - Est. & Proj. — Rural population, annual growth rate -0.8409 % change on previous year (2050)
- Population - Est. & Proj. — Urban population, annual growth rate 0.7733 % change on previous year (2050)
- Population - Est. & Proj. — Urban population 756.65 1000 No (2050)
- Population - Est. & Proj. — Rural population 39.27 1000 No (2050)
- Population - Est. & Proj. — Total Population - Female 369.69 1000 No (2100)
- Population - Est. & Proj. — Total Population - Male 378.3 1000 No (2100)
- Population - Est. & Proj. — Total Population - Both sexes 747.99 1000 No (2100)
Frequently asked questions
- What is stan database for structural analysis, 2020 edition — total employment in Luxembourg?
- Stan database for structural analysis, 2020 edition — total employment in Luxembourg was 675.73 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 Luxembourg?
- The highest recorded value was 675.73 Hours in 2018.
- What is the lowest stan database for structural analysis, 2020 edition — total employment recorded in Luxembourg?
- The lowest recorded value was 344.16 Hours in 1995.
- How does Luxembourg rank for stan database for structural analysis, 2020 edition — total employment?
- Luxembourg ranks 24th out of 25 countries with data for 2018.
- Is stan database for structural analysis, 2020 edition — total employment rising or falling in Luxembourg?
- Over the last ten years it is up 23.4%. The long-run trend across the full record is rising.
- Where does this Luxembourg 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