id,name,description,createdAt,updatedAt,datasetId,additionalInfo,link,dataPublishedBy
14818,OECD - Labour - Average usual weekly hours worked on the main job,"{""link"": ""https://stats.oecd.org/Index.aspx?DataSetCode=AVE_HRS"", ""retrievedDate"": ""16-March-18"", ""additionalInfo"": ""Contact person/organisation\nels.contact@oecd.org\nUnit of measure used\nPower codeUnits\nPower code\nStatistical populationThis table contains data on average usual weekly hours worked in the main job broken down by total employment, full-time employment and part-time employment.  Actual hours of work instead of usual hours of work are only available in some countries (Mexico and Korea).  Data are further broken down by professional status - employees, total employment - by sex and standardised age groups (15-24, 25-54, 55-64, 65+ and total). \nStatistical population\nThis table contains data on average usual weekly hours worked in the main job broken down by total employment, full-time employment and part-time employment.  Actual hours of work instead of usual hours of work are only available in some countries (Mexico and Korea).  Data are further broken down by professional status - employees, total employment - by sex and standardised age groups (15-24, 25-54, 55-64, 65+ and total). \nGeographic coverage\nIn order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at OECD Ratification Dates.\nOECD Ratification Dates\nhttp://www.oecd.org/about/membersandpartners/list-oecd-member-countries.htm\nKey statistical concept\nPart-time employment is defined according to a common definition of less than 30-weekly-usual hours worked in the main job.Full-time employment is defined according to a common definition of more than 30-weekly-usual hours worked in the main job.Information for all countries and all LFS subjects may be found in the attached file : www.oecd.org/els/employmentpoliciesanddata/LFSNOTES_SOURCES.pdf.\n"", ""dataPublishedBy"": ""OECD.Stat"", ""dataPublisherSource"": null}",2018-03-16 17:16:52,2018-03-16 17:16:52,2597,"Contact person/organisation
els.contact@oecd.org
Unit of measure used
Power codeUnits
Power code
Statistical populationThis table contains data on average usual weekly hours worked in the main job broken down by total employment, full-time employment and part-time employment.  Actual hours of work instead of usual hours of work are only available in some countries (Mexico and Korea).  Data are further broken down by professional status - employees, total employment - by sex and standardised age groups (15-24, 25-54, 55-64, 65+ and total). 
Statistical population
This table contains data on average usual weekly hours worked in the main job broken down by total employment, full-time employment and part-time employment.  Actual hours of work instead of usual hours of work are only available in some countries (Mexico and Korea).  Data are further broken down by professional status - employees, total employment - by sex and standardised age groups (15-24, 25-54, 55-64, 65+ and total). 
Geographic coverage
In order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at OECD Ratification Dates.
OECD Ratification Dates
http://www.oecd.org/about/membersandpartners/list-oecd-member-countries.htm
Key statistical concept
Part-time employment is defined according to a common definition of less than 30-weekly-usual hours worked in the main job.Full-time employment is defined according to a common definition of more than 30-weekly-usual hours worked in the main job.Information for all countries and all LFS subjects may be found in the attached file : www.oecd.org/els/employmentpoliciesanddata/LFSNOTES_SOURCES.pdf.
",https://stats.oecd.org/Index.aspx?DataSetCode=AVE_HRS,OECD.Stat