Employment policies and data

Employment database - Earnings and wages

 

key charts on earnings and wages

 

Icon-earnings‌ALL Earnings and wages indicators

 

►  (annual)    

Average annual wages per full-time equivalent dependent employee are obtained by dividing the National Accounts based total wage bill by the average number of employees in the total economy, which is then multiplied by the ratio of average usual weekly hours per full-time employee to average usually weekly hours for all employees.
→ Read more details on the estimation of average annual wages.

 (annual)    

This dataset contains three earnings-dispersion measures - ratio of 9th-to-1st, 9th-to-5th and 5th-to-1st - where ninth, fifth (or  median) and first deciles are upper-earnings decile limits, unless otherwise indicated, of gross earnings of full-time dependent employees.

 
► Incidence of low pay and incidence of high pay (annual)    
  • The incidence of low pay refers to the share of workers earning less than two-thirds of median earnings.
  • The incidence of high pay refers to the share of workers earning more than one-and-a-half times median earnings.  
► Gender wage gap, age wage gap, education wage gap  (annual)    
 • The gender wage gap is calculated as the difference between median earnings of men and women relative to median earnings of men. 

 • The age wage gap is calculated as the difference between mean earnings of 25-54 year-olds and that of 15-24 year-olds (respectively 55-64 year-olds) relative to mean earnings of 25-54 year-olds.  

 

 •  Earnings by skill (or education levels) refer to mean annual earnings of full-time full-year 25-64 year-old employees. Earnings gaps by skill levels are calculated as the difference between mean earnings of medium-skilled employees and low- (respectively high-) skilled employees relative to mean earnings of medium-skilled employees. 


 

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> Data on unemployment

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> Data on labour market policies and institutions

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> Data on skills and work

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