DS Experimental statistics > QALI > Block 1 > EN > REVAMP

Why are these statistics needed?

Labour productivity is an important economic indicator which provides information on the efficiency of human capital in the production process of an economy.

‘In the long run, raising productivity is the only way to achieve higher living standards.’

(Valdis Dombrovskis, European Commission Vice-President for the euro and social dialogue)

Why are they experimental?

Two types of sources are used:

  • National accounts statistics/data: hours worked and compensation of employees are used as benchmarks;
  • Labour force survey (LFS) and structure of earnings survey (SES) data (EU-SILC for the agricultural industry) are used to provide detailed breakdowns of the composition of the workforce by skills and age.

QALI therefore combines microdata and macrodata to derive an indicator that has value added for productivity analysis.

How are they produced?

The dataset presented in this section is the result of a project involving Eurostat and the Joint Research Centre that was carried out between 2014 and 2016 to combine national accounts data with microdata from surveys.  The latest updated estimates present data for the European Union (from 2011), the euro area (from 2003) and the 27 EU members.

For further details, please consult our  methodological note.

Access to the statistics

DS Experimental statistics > QALI > Block 2 > EN > REVAMP

Feedback

To help Eurostat improve these experimental statistics, users and researchers are kindly invited to give us their feedback by email:

  • What do you use QALI statistics for?
  • Is the concept of the QALI indicator and the way in which it is produced easy to understand in its current form?
  • Do you have any suggestions for improvement in terms of the method or additional breakdown?

Further reading