Chile - Total Employment





Chile: Total Employment

Mnemonic ETOT.ICHL
Unit Ths. # 3-mo. MA, NSA
Adjustments Not Seasonally Adjusted
Monthly 0.18 %
Data Dec 2019 8,547
Nov 2019 8,532

Series Information

Source National Institute of Statistics (INE)
Release Subnational: Employment By Industry
Frequency Monthly
Start Date 3/31/2013
End Date 12/31/2019

Chile: Labor

Reference Last Previous Units Frequency
Labor Force Feb 2020 9,831 9,850 Ths. # 3-mo MA, NSA Monthly
Labor Force Employment Feb 2020 9,063 9,118 Ths. # 3-mo MA, NSA Monthly
Unemployment Feb 2020 767.87 732.18 Ths. # 3-mo MA, NSA Monthly
Unemployment Rate Feb 2020 7.81 7.43 % 3-mo MA, NSA Monthly
Wage & Salaries Feb 2020 5,043 5,036 CLP per hr., NSA Monthly
Agriculture Employment Dec 2019 806.36 747.15 Ths. # 3-mo. MA, NSA Monthly
Total Employment Dec 2019 8,547 8,532 Ths. # 3-mo. MA, NSA Monthly

Release Information

The National Institute of Statistics (INE) reports monthly employment data by branch of economic actvity. Geo coverage includes the national level and all regions of Chile. Figures are expressed as a three month moving average in thousands of people (Ths. # 3-mo. MA), not seasonally adjusted (NSA).

Data is obtained from the National Employment Survey (ENE) which samples households from a framework based upon the population census and housing. There were several methodological changes made to the survey due to demographic and structural labor market changes collected from the 2002 census. There are smoothing additives (who perform only a translation of the levels and maintain characteristics trend only), linear (who maintain the differences and maintain cyclical characteristics), and using mathematical functions such as exponential (which affect the cycles and trends hold).

The classification is CAENES (Clasificador de Actividades Económicas Nacional para Encuestas Sociodemográphicas), a variation on CIIU Rev.4.cl (revisión 4 adaptación chilena), the localization of UN ISIC Rev. 4. CAENES is identical to CIIU at the one-digit (section) level.

Data is subject to revisions.