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6202.0.30.004 - Microdata: Labour Force Survey and Labour Mobility, Australia, Feb 2012 Quality Declaration 
Latest ISSUE Released at 11:30 AM (CANBERRA TIME) 11/12/2012   
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The following microdata products are available from the Labour Force Survey and Labour Mobility, Australia, Feb 2012:
- Basic CURF on CD-ROM
- Expanded CURF via the Remote Access Data Laboratory (RADL) and ABS Data Laboratory (ABSDL)

Apply online for access to these products at www.abs.gov.au/about/microdata.

These products contain data from both the monthly Labour Force Survey and the related Labour Mobility supplementary survey.

The Labour Mobility data is in relation to people aged 15 years and over who had worked at some time during the year ending February 2012. In addition to the standard labour force data items, the Labour Mobility data provides details on labour mobility over a twelve month period ending February 2012,

People who at February 2012, had worked with their current employer/business for less than 12 months, were asked whether they had changed their employer/business in the previous 12 months. Those who had changed employer/business were then asked if they
had changed their occupation, industry, usual hours worked or employment type between their last and current employer/business.

Employees (excluding owner managers of incorporated enterprises) who at February 2012, had worked for their current employer/business for one year or more were asked whether they had been promoted, transferred to a different position, changed occupation, or changed usual hours worked in the 12 months to February 2012. Employees (excluding owner managers of incorporated enterprises) who reported any of these changes were considered to have had some change in work in the 12 months to February 2012.

The microdata enables users to tabulate, manipulate and analyse data. Steps to confidentialise the dataset are taken to ensure the integrity of data and maintain confidentiality of respondents. This includes removing any information that might uniquely identify an individual, reducing the level of detail for some items and collapsing some categories.


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