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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. 2005
Value Variation (%)
Men Women Total Men Women Total
Gross annual wage average 23,358.44 16,284.86 20,067.13 1.1 3.9 1.6
Administrative and company directors 69,201.26 (*) Estimate with high variability .. Confidential data, low reliability or not available 62,399.82 (*) Estimate with high variability 10.8 (*) Estimate with high variability .. Confidential data, low reliability or not available 8.9 (*) Estimate with high variability
Scientific specialists and professionals, intellectuals 31,973.77 24,524.23 27,670.33 0.0 9.3 5.6
Technicians and associate professionals 33,169.33 (*) Estimate with high variability 24,138.96 (*) Estimate with high variability 28,957.16 9.3 (*) Estimate with high variability 17.0 (*) Estimate with high variability 11.4
Administrative employees 22,400.57 15,394.93 17,649.07 7.6 0.5 4.2
Service sector workers 16,680.10 11,886.99 13,731.69 0.4 -1.5 -0.4
Qualified agriculture and fishing sector workers .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available
Manufacturing, construction and mining workers 20,705.90 15,750.62 (*) Estimate with high variability 20,109.20 1.2 12.0 (*) Estimate with high variability 2.8
Facility and machinery operators 20,553.26 14,079.72 18,669.70 3.4 -3.1 0.2
Unqualified workers 15,378.49 11,656.32 13,438.51 1.6 5.5 1.7
Average earnings per hour 13.68 10.49 12.27 0.4 3.8 1.2
Administrative and company directors 40.99 (*) Estimate with high variability .. Confidential data, low reliability or not available 37.07 (*) Estimate with high variability 11.6 (*) Estimate with high variability .. Confidential data, low reliability or not available 9.8 (*) Estimate with high variability
Scientific specialists and professionals, intellectuals 21.12 17.25 18.95 0.0 13.2 7.7
Technicians and associate professionals 19.31 (*) Estimate with high variability 15.01 (*) Estimate with high variability 17.37 7.4 (*) Estimate with high variability 16.7 (*) Estimate with high variability 10.3
Administrative employees 12.93 9.76 10.85 3.5 2.4 4.1
Service sector workers 10.41 7.88 8.89 4.7 -1.0 1.6
Qualified agriculture and fishing sector workers .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available
Manufacturing, construction and mining workers 11.71 8.93 (*) Estimate with high variability 11.38 -0.8 1.7 (*) Estimate with high variability -0.3
Facility and machinery operators 11.67 7.96 10.59 1.7 -8.5 -2.3
Unqualified workers 8.96 7.91 8.45 0.4 2.1 0.4
Units: Euros.
Source: Idescat, based on the INE Annual Wage Structure Survey.
(*) 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. 2005
Value Variation (%)
Men Women Total Men Women Total
Gross annual wage average 21,093.92 15,294.83 18,676.92 2.7 2.7 2.0
Administrative and company directors 62,144.32 39,291.00 (*) Estimate with high variability 57,834.10 6.8 -10.5 (*) Estimate with high variability 4.9
Scientific specialists and professionals, intellectuals 34,121.64 25,104.75 29,384.07 13.6 9.6 12.1
Technicians and associate professionals 29,377.37 20,837.17 25,920.43 5.5 3.4 4.2
Administrative employees 20,800.97 14,701.14 16,731.95 4.1 2.1 2.4
Service sector workers 15,688.38 11,767.15 13,190.62 2.2 5.8 3.1
Qualified agriculture and fishing sector workers 15,234.76 (*) Estimate with high variability .. Confidential data, low reliability or not available 15,044.80 (*) Estimate with high variability 6.1 (*) Estimate with high variability .. Confidential data, low reliability or not available 9.5 (*) Estimate with high variability
Manufacturing, construction and mining workers 18,529.65 13,208.94 17,882.45 2.7 -0.6 1.5
Facility and machinery operators 18,277.78 13,308.34 17,425.10 2.7 3.8 2.9
Unqualified workers 14,788.40 10,947.63 13,189.21 5.0 4.6 4.6
Average earnings per hour 12.25 9.95 11.35 1.2 2.5 1.2
Administrative and company directors 36.16 23.11 (*) Estimate with high variability 33.72 6.8 -10.4 (*) Estimate with high variability 4.8
Scientific specialists and professionals, intellectuals 21.26 16.50 18.83 10.2 5.9 8.5
Technicians and associate professionals 17.36 13.13 15.71 6.2 6.3 5.9
Administrative employees 12.10 9.15 10.18 1.2 1.1 0.9
Service sector workers 9.51 7.74 8.42 2.6 5.3 3.3
Qualified agriculture and fishing sector workers 8.76 (*) Estimate with high variability .. Confidential data, low reliability or not available 8.69 (*) Estimate with high variability 5.3 (*) Estimate with high variability .. Confidential data, low reliability or not available 6.0 (*) Estimate with high variability
Manufacturing, construction and mining workers 10.42 8.60 10.23 0.5 4.2 0.4
Facility and machinery operators 10.44 7.85 10.01 1.0 1.4 1.1
Unqualified workers 8.56 7.95 8.34 2.8 5.0 3.6
Units: Euros.
Source: Idescat, based on the INE Annual Wage Structure Survey.
(*) Estimate with high variability.
(..) Confidential data, low reliability or not available.

Last update: January 18, 2008.

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.