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Gross annual wage and earnings per hour. By sex and type of occupation

Gross annual wage and earnings per hour. By sex and type of occupation (CCO-94) Catalonia Value. Total
Gross annual wage average Administrative and company directors Scientific specialists and professionals, intellectuals Technicians and associate professionals Administrative employees Service sector workers Qualified agriculture and fishing sector workers Manufacturing, construction and mining workers Facility and machinery operators Unqualified workers Average earnings per hour Administrative and company directors Scientific specialists and professionals, intellectuals Technicians and associate professionals Administrative employees Service sector workers Qualified agriculture and fishing sector workers Manufacturing, construction and mining workers Facility and machinery operators Unqualified workers
2009 23,851.31 61,358.28 33,726.02 30,325.76 21,333.05 16,712.31 .. Confidential data, low reliability or not available 23,618.03 22,180.05 15,377.91 14.81 36.86 22.59 18.33 13.18 10.62 .. Confidential data, low reliability or not available 14.02 13.05 9.93
2008 23,375.54 (b) Break in time series 61,364.03 (b) Break in time series 32,947.13 (b) Break in time series 29,945.37 (b) Break in time series 20,254.50 (b) Break in time series 16,120.66 (b) Break in time series .. Confidential data, low reliability or not available 23,317.97 (b) Break in time series 22,121.00 (b) Break in time series 15,111.00 (b) Break in time series 14.38 (b) Break in time series 36.04 (b) Break in time series 21.64 (b) Break in time series 18.11 (b) Break in time series 12.47 (b) Break in time series 10.19 (b) Break in time series .. Confidential data, low reliability or not available 13.63 (b) Break in time series 13.04 (b) Break in time series 9.58 (b) Break in time series
2007 21,998.10 58,106.20 31,803.79 27,362.00 18,994.47 14,367.52 .. Confidential data, low reliability or not available 21,700.52 20,912.90 14,393.33 13.34 33.91 20.00 16.35 11.78 9.02 .. Confidential data, low reliability or not available 12.62 12.21 8.87
2006 21,210.04 62,703.63 29,354.16 26,423.17 18,088.18 13,077.37 .. Confidential data, low reliability or not available 20,322.68 20,715.05 13,524.47 13.07 36.11 20.07 15.84 11.19 8.61 .. Confidential data, low reliability or not available 11.82 12.09 8.52
2005 20,067.13 62,399.82 (*) Estimate with high variability 27,670.33 28,957.16 17,649.07 13,731.69 .. Confidential data, low reliability or not available 20,109.20 18,669.70 13,438.51 12.27 37.07 (*) Estimate with high variability 18.95 17.37 10.85 8.89 .. Confidential data, low reliability or not available 11.38 10.59 8.45
2004 19,750.11 57,325.69 (*) Estimate with high variability 26,202.19 25,995.18 16,941.77 13,785.19 .. Confidential data, low reliability or not available 19,568.07 18,623.62 13,215.46 12.12 33.75 (*) Estimate with high variability 17.60 15.75 10.42 8.75 .. Confidential data, low reliability or not available 11.41 10.84 8.42
Units: Euros.
Source:
2004-2005: Idescat, based on the INE Annual Wage Structure Survey.
2006: Idescat, based on Wage Structure Survey data.
2007-2009: Idescat, based on the INE Annual Wage Structure Survey.
(b) Break in time series.
(*) Estimate with high variability.
(..) Confidential data, low reliability or not available.
Gross annual wage and earnings per hour. By sex and type of occupation (CCO-94) Spain Value. Total
Gross annual wage average Administrative and company directors Scientific specialists and professionals, intellectuals Technicians and associate professionals Administrative employees Service sector workers Qualified agriculture and fishing sector workers Manufacturing, construction and mining workers Facility and machinery operators Unqualified workers Average earnings per hour Administrative and company directors Scientific specialists and professionals, intellectuals Technicians and associate professionals Administrative employees Service sector workers Qualified agriculture and fishing sector workers Manufacturing, construction and mining workers Facility and machinery operators Unqualified workers
2009 22,511.47 58,427.75 34,508.99 28,399.50 19,360.67 15,809.13 19,225.57 21,167.33 20,715.98 14,395.98 14.08 34.93 22.52 17.28 12.08 10.23 11.69 12.52 12.37 9.55
2008 21,883.42 (b) Break in time series 57,042.49 (b) Break in time series 32,893.51 (b) Break in time series 27,591.92 (b) Break in time series 18,991.08 (b) Break in time series 15,639.86 (b) Break in time series 18,052.66 (b) Break in time series 20,958.48 (b) Break in time series 20,530.35 (b) Break in time series 14,347.08 (b) Break in time series 13.53 (b) Break in time series 33.73 (b) Break in time series 21.29 (b) Break in time series 16.81 (b) Break in time series 11.77 (b) Break in time series 9.93 (b) Break in time series 10.89 (b) Break in time series 12.30 (b) Break in time series 12.18 (b) Break in time series 9.26 (b) Break in time series
2007 20,390.35 58,934.57 31,154.64 26,331.67 17,830.93 14,001.61 15,837.14 (*) Estimate with high variability 19,458.83 19,142.67 13,249.54 12.41 34.23 19.51 15.76 10.98 8.83 9.61 (*) Estimate with high variability 11.29 11.18 8.42
2006 19,680.88 58,799.50 29,402.15 25,422.65 17,238.72 13,370.09 15,654.63 18,361.93 18,360.90 12,720.34 12.10 34.03 19.42 15.33 10.61 8.60 9.30 10.64 10.77 8.17
2005 18,676.92 57,834.10 29,384.07 25,920.43 16,731.95 13,190.62 15,044.80 (*) Estimate with high variability 17,882.45 17,425.10 13,189.21 11.35 33.72 18.83 15.71 10.18 8.42 8.69 (*) Estimate with high variability 10.23 10.01 8.34
2004 18,310.11 55,145.67 26,222.93 24,864.95 16,336.41 12,793.27 13,745.59 (*) Estimate with high variability 17,615.18 16,929.00 12,606.06 11.22 32.17 17.36 14.84 10.09 8.15 8.20 (*) Estimate with high variability 10.19 9.90 8.05
Units: Euros.
Source:
2004-2005: Idescat, based on the INE Annual Wage Structure Survey.
2006: Idescat, based on Wage Structure Survey data.
2007-2009: Idescat, based on the INE Annual Wage Structure Survey.
(b) Break in time series.
(*) Estimate with high variability.

Last update: June 23, 2011.

Methodological note

The Annual Wage Structure Survey (EAES) in an operation performed annually by the National Statistical Institute (INE) and is the result of the combination of different statistical and administrative sources, the purpose of which is to obtain comparable results regarding the structure and distribution of wages in the years that the Wage Structure Survey (EES) (every four years) is not conducted. Therefore, the results issued for 2006, 2010, 2014 and 2018 come from the Wage Structure Survey, while the results of the rest of the years come from the Annual Wage Structure Survey.

The main objective of both operations is to determine the gross annual earnings per worker, classified by different sociodemographic variables as sex, age and nationality, as well as other variables related to occupational characteristics as type of working day, contract, the activity sector and the type of occupation carried out by workers.

The population scope of the EAES constitutes all workers who are employed by others and provide services to their respective enterprises, regardless of the number of workers in each unit. Excluded are company presidents, members of the board and in general any personnel who are not paid in some form of regular salary but by commissions or profits. The population scope of the Wage Structure Survey coincides with the Annual Wage Structure Survey from 2006.

As far as what sectors are concerned, they may be from industry, construction and services. Until 2007 activities related to public administration, defence and compulsory social security, domestic personnel and extraterritorial organisation and bodies were excluded. Therefore, it includes those centres with economic activities comprised from C to K and M to O in the Catalan Classification of Economic Activities, CCAE-93 Rev1. From 2008 onwards, the new Catalan Classification of Economic Activities 2009 was implemented, which included workers belonging to the General Social Security Plan under in section O: public administration, defence and compulsory social security. For this reason, the 2008 results are not comparable with previous years.

The EAES is a statistical operation that is obtained through the combined processing of the Social Security General Affiliation File and Form 190 statements: the annual summary of withholdings and advance payments on personal income taxes by the State Tax Administration Agency (AEAT), along with such variable as occupation and workday, which are provided by the survey attached to the Quarterly Labour Cost Survey.

All wage concepts are collected in gross values, in other words, before any withholdings were made, such as income taxes or Social Security contributions.