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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-2011) Catalonia. 2022 (p)
Value Variation (%)
Men Women Total Men Women Total
Gross annual wage average 31,878.42 25,659.03 28,774.55 2.1 2.6 2.2
Legislators, senior officials and managers 63,260.08 53,168.85 (*) Estimate with high variability 59,304.43 -9.4 -0.9 -6.3
Scientific specialists and professionals, intellectuals 43,311.59 36,889.88 39,424.89 -0.6 1.3 0.2
Technicians and associate professionals 36,717.12 29,783.55 33,604.26 0.6 5.0 2.6
Clerks 29,702.57 24,170.47 25,944.52 11.9 9.1 10.8
Service workers and shop and market sales workers 25,088.32 17,405.90 20,367.01 -0.2 0.9 0.4
Skilled agricultural and fishery 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
Craft and related trades workers 27,833.72 20,960.55 26,762.95 6.6 5.2 5.9
Plant and machine operators and assemblers 28,352.47 24,460.69 (*) Estimate with high variability 27,838.96 8.2 10.4 8.7
Elementary occupations 21,118.48 14,275.94 17,786.75 6.4 4.5 5.0
Average earnings per hour .. 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
Legislators, senior officials and managers .. 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
Scientific specialists and professionals, intellectuals .. 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
Technicians and associate professionals .. 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
Clerks .. 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
Service workers and shop and market sales 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
Skilled agricultural and fishery 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
Craft and related trades 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
Plant and machine operators and assemblers .. 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
Elementary occupations .. 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
Units: Euros.
Source: Idescat, based on Wage Structure Survey data.
Note: While the results of the Wage Structure Survey 2018 are provisional data on earnings per hour of work are not directly comparable to those of previous years.
(p) Provisional data.
(*) 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-2011) Spain. 2022 (p)
Value Variation (%)
Men Women Total Men Women Total
Gross annual wage average 29,381.84 24,359.82 26,948.87 3.5 5.1 4.1
Legislators, senior officials and managers 62,991.86 53,368.32 59,478.63 -1.1 3.7 0.4
Scientific specialists and professionals, intellectuals 43,023.06 36,878.63 39,356.06 3.4 4.2 3.6
Technicians and associate professionals 34,550.52 28,515.60 31,899.95 2.1 1.9 1.8
Clerks 27,581.21 22,620.97 24,198.08 8.8 8.3 8.4
Service workers and shop and market sales workers 22,611.09 16,750.69 18,992.66 1.2 5.7 3.5
Skilled agricultural and fishery workers 21,715.91 .. Confidential data, low reliability or not available 21,383.06 -4.4 .. Confidential data, low reliability or not available -6.5
Craft and related trades workers 24,938.99 19,741.84 24,318.03 4.8 7.7 4.9
Plant and machine operators and assemblers 25,165.95 21,341.19 24,792.88 5.3 3.0 5.0
Elementary occupations 20,017.43 14,089.51 17,017.06 6.3 5.8 6.3
Average earnings per hour .. 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
Legislators, senior officials and managers .. 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
Scientific specialists and professionals, intellectuals .. 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
Technicians and associate professionals .. 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
Clerks .. 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
Service workers and shop and market sales 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
Skilled agricultural and fishery 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
Craft and related trades 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
Plant and machine operators and assemblers .. 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
Elementary occupations .. 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
Units: Euros.
Source: Idescat, based on Wage Structure Survey data.
Note: While the results of the Wage Structure Survey 2018 are provisional data on earnings per hour of work are not directly comparable to those of previous years.
(p) Provisional data.
(..) Confidential data, low reliability or not available.

Last update: July 8, 2024.

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.