statistics
STATISTICS
The cross-national comparative statistical tables enable researchers to focus on aspects of precarious employment in relation to the three module themes: forms of precarious employment, temporal and spatial dynamics, and health and social care. The database can be used to obtain basic information on a topic (e.g., cross-national comparisons of women’s labour force participation) or to examine complex social relations (e.g., gendered precariousness in different countries). The statistical tables are multidimensional and are displayed using Beyond 20/20, a program that enables users to interact with and manipulate the data presentation as desired. University and community users doing non commercial research and teaching may apply for access.
The CPD uses data from seven surveys focused on the study of work, labour and employment. The CPD includes the following surveys:
Household, Income and Labour Dynamics in Australia (HILDA)
Canadian Labour Force Survey (CA LFS)
Survey of Labour and Income Dynamics (SLID)
The European Community Household Panel (ECHP)
The Survey on Income and Living Conditions (SILC)
The European Union Labour Force Survey (EU LFS)
The United States Current Population Survey (CPS)
statistics tutorial
A tutorial explaining how to use and manipulate the statistical tables using the Beyond 20/20 program, how to approach statistical data, and how to get the most out of the data available on the CPD.
apply for statistics access
Although free of charge, the statistical data on the CPD is not available for full public use. This page explains eligibility requirements, how to apply for access, and how to cite the CPD module content and data.
cpd harmonization documents
This page provides links to several CPD harmonization documents including the harmonized codebook + data dictionary, the easy to use harmonized codebook, documents on industry and occupation harmonization, and information on data quality and suppression guidelines.
statistics database
Authorized access to several interactive, multidimensional statistical tables that can be manipulated using the Beyond 20/20 program