Last update: November 28, 2013 .
Any questions, suggestions or comments can be sent to productivity.contact@oecd.org.
Note to users: At the beginning of 2012, GDP per hour worked was significantly revised for a large number of OECD countries. Revisions are mainly due to the implementation of the classification NACE Rev.2 by European countries into their national accounts, the change of reference year in some OECD member countries, along with the possible implementation of other methodological changes.
These changes can impact on output and/or labour input at the whole economy level, and can also have an effect on the growth in Multi-factor productivity (see MFP dataset under Productivity theme); therefore, care should be taken when using the productivity estimates hereafter.
For any information, please refer to the OECD Productivity database internet page.
Estimates of productivity levels and GDP per capita permit the comparison of standards of living and underlying factors across countries.
The productivity and income estimates presented in this data set are mainly based on GDP and employment data from the OECD Annual National Accounts and on hours worked from the OECD Annual National Accounts, the OECD Employment Outlook and national sources. Sometimes, secondary sources such as OECD Annual Labour Force Statistics and OECD Economic Outlook can be used.
Estimates of productivity levels are more uncertain than estimates of productivity growth; therefore, those measures should be interpreted with caution.
Users can download the whole database from the OECD.STAT export menu: go to "Export" and "Ready-Made Files".
OECD 34 countries, the Russian Federation and some geographical / economic zones.
Underlying series of GDP are from OECD, Annual National Accounts and converted in current USD using 2012 Purchasing Power Parities.
The differences in income levels can de decomposed into the differences in labour productivity levels and in the extent of labour utilisation.
Statistical / analytical publication:
Methodological publication:
Last update: November 28, 2013 .<br><br> Any questions, suggestions or comments can be sent to productivity.contact@oecd.org.<br><br>Note to users: At the beginning of 2012, GDP per hour worked was significantly revised for a large number of OECD countries. Revisions are mainly due to the implementation of the classification NACE Rev.2 by European countries into their national accounts, the change of reference year in some OECD member countries, along with the possible implementation of other methodological changes. <br> These changes can impact on output and/or labour input at the whole economy level, and can also have an effect on the growth in Multi-factor productivity (see MFP dataset under Productivity theme); therefore, care should be taken when using the productivity estimates hereafter.<br> <br>For any information, please refer to the OECD Productivity database internet page.
Estimates of productivity levels and GDP per capita permit the comparison of standards of living and underlying factors across countries. <br> <br>The productivity and income estimates presented in this data set are mainly based on GDP and employment data from the OECD Annual National Accounts and on hours worked from the OECD Annual National Accounts, the OECD Employment Outlook and national sources. Sometimes, secondary sources such as OECD Annual Labour Force Statistics and OECD Economic Outlook can be used. <br> <br>Estimates of productivity levels are more uncertain than estimates of productivity growth; therefore, those measures should be interpreted with caution.<br> <br> Users can download the whole database from the OECD.STAT export menu: go to "Export" and "Ready-Made Files".
OECD 34 countries, the Russian Federation and some geographical / economic zones.
Underlying series of GDP are from OECD, Annual National Accounts and converted in current USD using 2012 Purchasing Power Parities.<br> The differences in income levels can de decomposed into the differences in labour productivity levels and in the extent of labour utilisation.
Methodological publication:
Statistical / analytical publication: