STAN Database for Structural Analysis, 2020 edition — Employees in Chile
Chile: STAN Database for Structural Analysis, 2020 edition — Employees was 12,417 Hours in 2018. ▬ Flat
STAN Database for Structural Analysis, 2020 edition — Employees in Chile, 2010–2018
Source: Organisation for Economic Co-operation and Development. Measured in Hours.
Analysis
The most recent figure for stan database for structural analysis, 2020 edition — employees in Chile is 12,417 Hours, measured in 2018. That is the lowest value across all 9 years on record.
The figure is down 8.8% on the previous year and down 6.0% over ten years.
Over the whole period, stan database for structural analysis, 2020 edition — employees in Chile peaked at 14,130 Hours in 2012 and was at its lowest, 12,417 Hours, in 2018.
That places Chile 8th out of 25 countries with data for 2018, putting it in the middle of the range.
STAN Database for Structural Analysis, 2020 edition — Employees in Chile, year by year
| Year | Hours | Change |
|---|---|---|
| 2010 | 13,203 Hours | — |
| 2011 | 13,759 Hours | +4.2% |
| 2012 | 14,130 Hours | +2.7% |
| 2013 | 13,439 Hours | -4.9% |
| 2014 | 13,460 Hours | +0.2% |
| 2015 | 13,613 Hours | +1.1% |
| 2016 | 13,547 Hours | -0.5% |
| 2017 | 13,612 Hours | +0.5% |
| 2018 | 12,417 Hours | -8.8% |
Countries ranked near Chile
More reference data data for Chile
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.9268 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 2.22 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 5.33 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.2204 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 5.33 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 3.11 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 1.46 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 11.45 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 25.25 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 1.2 (2050)
Frequently asked questions
- What is stan database for structural analysis, 2020 edition — employees in Chile?
- Stan database for structural analysis, 2020 edition — employees in Chile was 12,417 Hours in 2018, according to Organisation for Economic Co-operation and Development.
- What is the highest stan database for structural analysis, 2020 edition — employees recorded in Chile?
- The highest recorded value was 14,130 Hours in 2012.
- What is the lowest stan database for structural analysis, 2020 edition — employees recorded in Chile?
- The lowest recorded value was 12,417 Hours in 2018.
- How does Chile rank for stan database for structural analysis, 2020 edition — employees?
- Chile ranks 8th out of 25 countries with data for 2018.
- Is stan database for structural analysis, 2020 edition — employees rising or falling in Chile?
- Over the last ten years it is down 6.0%. The long-run trend across the full record is flat.
- Where does this Chile 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 — 9 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