STAN Database for Structural Analysis, 2020 edition — Employees in Italy
Italy: STAN Database for Structural Analysis, 2020 edition — Employees was 30,782 Hours in 2019. ▲ Rising
STAN Database for Structural Analysis, 2020 edition — Employees in Italy, 1980–2019
Source: Organisation for Economic Co-operation and Development. Measured in Hours.
Analysis
Italy recorded 30,782 Hours for stan database for structural analysis, 2020 edition — employees in 2019.
That represents a change of up 0.2% on the previous year and up 2.6% over ten years.
Over the whole period, stan database for structural analysis, 2020 edition — employees in Italy peaked at 31,042 Hours in 2008 and was at its lowest, 25,360 Hours, in 1984.
Italy ranks 4th of 25 countries on this measure, in the top quarter.
The long-run direction has been consistently rising across the 40 years of available data.
STAN Database for Structural Analysis, 2020 edition — Employees in Italy, year by year
| Year | Hours | Change |
|---|---|---|
| 1980 | 25,955 Hours | — |
| 1981 | 25,789 Hours | -0.6% |
| 1982 | 25,943 Hours | +0.6% |
| 1983 | 25,571 Hours | -1.4% |
| 1984 | 25,360 Hours | -0.8% |
| 1985 | 25,716 Hours | +1.4% |
| 1986 | 26,054 Hours | +1.3% |
| 1987 | 26,378 Hours | +1.2% |
| 1988 | 26,733 Hours | +1.3% |
| 1989 | 26,860 Hours | +0.5% |
| 1990 | 27,259 Hours | +1.5% |
| 1991 | 27,724 Hours | +1.7% |
| 1992 | 27,578 Hours | -0.5% |
| 1993 | 27,161 Hours | -1.5% |
| 1994 | 26,720 Hours | -1.6% |
| 1995 | 26,673 Hours | -0.2% |
| 1996 | 26,946 Hours | +1.0% |
| 1997 | 27,016 Hours | +0.3% |
| 1998 | 27,442 Hours | +1.6% |
| 1999 | 27,815 Hours | +1.4% |
| 2000 | 28,286 Hours | +1.7% |
| 2001 | 28,743 Hours | +1.6% |
| 2002 | 29,130 Hours | +1.3% |
| 2003 | 29,136 Hours | +0.0% |
| 2004 | 29,278 Hours | +0.5% |
| 2005 | 29,582 Hours | +1.0% |
| 2006 | 30,336 Hours | +2.5% |
| 2007 | 30,802 Hours | +1.5% |
| 2008 | 31,042 Hours | +0.8% |
| 2009 | 29,999 Hours | -3.4% |
| 2010 | 29,665 Hours | -1.1% |
| 2011 | 29,765 Hours | +0.3% |
| 2012 | 29,078 Hours | -2.3% |
| 2013 | 28,353 Hours | -2.5% |
| 2014 | 28,364 Hours | +0.0% |
| 2015 | 28,735 Hours | +1.3% |
| 2016 | 29,537 Hours | +2.8% |
| 2017 | 30,190 Hours | +2.2% |
| 2018 | 30,707 Hours | +1.7% |
| 2019 | 30,782 Hours | +0.2% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1980s | 26,036 Hours | 25,360 Hours | 26,860 Hours | 10 |
| 1990s | 27,233 Hours | 26,673 Hours | 27,815 Hours | 10 |
| 2000s | 29,633 Hours | 28,286 Hours | 31,042 Hours | 10 |
| 2010s | 29,518 Hours | 28,353 Hours | 30,782 Hours | 10 |
Countries ranked near Italy
More reference data data for Italy
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 2.5 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 1.48 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 8.94 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.927 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 8.94 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 8.37 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 5.21 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 6.51 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 41.74 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 5.05 (2050)
Frequently asked questions
- What is stan database for structural analysis, 2020 edition — employees in Italy?
- Stan database for structural analysis, 2020 edition — employees in Italy was 30,782 Hours in 2019, according to Organisation for Economic Co-operation and Development.
- What is the highest stan database for structural analysis, 2020 edition — employees recorded in Italy?
- The highest recorded value was 31,042 Hours in 2008.
- What is the lowest stan database for structural analysis, 2020 edition — employees recorded in Italy?
- The lowest recorded value was 25,360 Hours in 1984.
- How does Italy rank for stan database for structural analysis, 2020 edition — employees?
- Italy ranks 4th out of 25 countries with data for 2019.
- Is stan database for structural analysis, 2020 edition — employees rising or falling in Italy?
- Over the last ten years it is up 2.6%. The long-run trend across the full record is rising.
- Where does this Italy 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 — Employees. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 40 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