Please note that this dataset is discontinued.
Annual statistics on growth in Labour productivity and related variables for the total economy are available at Growth in GDP per capita, productivity and ULC
This dataset includes statistical indicators on labour productivity defined as gross domestic product (GDP) per hour worked. GDP for each country is expressed in national currency at constant prices whereas GDP for country groups/zones is expressed in USD at constant prices and PPPs. Labour productivity growth can also be analyzed by hours worked, labour productivity growth rate, GDP annual compound rate and more. Data are presented as annual datapoints from 1970 to 2012.
Bibliographic citation:
Organisation for Economic Cooperation and Development: Productivity Statistics (November 2013 Edition). UK Data Service. https://doi.org/10.5257/oecd/prod/2013-11
Yearly
November 2013
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. Labour productivity is defined as GDP per hour worked.
Underlying series of Gross Domestic Product refer to GDP in national currency, at constant prices, OECD base year 2005 for each country; and to GDP, in US dollars, at constant prices, constant PPPs, OECD base year 2005 for country groups / zones.
Labour input is defined as total hours worked by all persons engaged. The data are derived as average hours worked (from the OECD Employment Outlook, OECD Annual National Accounts, OECD Labour Force Statistics and national sources) multiplied by the corresponding and consistent measure of employment for each particular country.
The measures of labour productivity are presented as indices and as rates of change (see graphic hereafter on LP growth per country).
Main data sources used are: OECD Annual National Accounts, OECD Employment Outlook, OECD Labour Force Statistics and some national sources.
Underlying sources used for estimating employment and hours worked data are summarized in the document below.
Annual
OECD 34 countries, the Russian Federation and a few geographical / economic zones. Some data for Brazil, China, India, Indonesia and South Africa are also presented.
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.
Copyright:
Organisation for Economic Co-operation and Development
Please note that this dataset is discontinued.
Annual statistics on growth in Labour productivity and related variables for the total economy are available at Growth in GDP per capita, productivity and ULC
This dataset includes statistical indicators on labour productivity defined as gross domestic product (GDP) per hour worked. GDP for each country is expressed in national currency at constant prices whereas GDP for country groups/zones is expressed in USD at constant prices and PPPs. Labour productivity growth can also be analyzed by hours worked, labour productivity growth rate, GDP annual compound rate and more. Data are presented as annual datapoints from 1970 to 2012.
Bibliographic citation:
Organisation for Economic Cooperation and Development: Productivity Statistics (November 2013 Edition). UK Data Service. https://doi.org/10.5257/oecd/prod/2013-11
Yearly
Annual
November 2013
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. Labour productivity is defined as GDP per hour worked.
Underlying series of Gross Domestic Product refer to GDP in national currency, at constant prices, OECD base year 2005 for each country; and to GDP, in US dollars, at constant prices, constant PPPs, OECD base year 2005 for country groups / zones.
Labour input is defined as total hours worked by all persons engaged. The data are derived as average hours worked (from the OECD Employment Outlook, OECD Annual National Accounts, OECD Labour Force Statistics and national sources) multiplied by the corresponding and consistent measure of employment for each particular country.
The measures of labour productivity are presented as indices and as rates of change (see graphic hereafter on LP growth per country).
Main data sources used are: OECD Annual National Accounts, OECD Employment Outlook, OECD Labour Force Statistics and some national sources.
Underlying sources used for estimating employment and hours worked data are summarized in the document below.
OECD 34 countries, the Russian Federation and a few geographical / economic zones. Some data for Brazil, China, India, Indonesia and South Africa are also presented.
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.
Copyright:
Organisation for Economic Co-operation and Development