Dataset types
Labour Force Survey data is available in 2 dataset types, summary and unit record level.
Summary or aggregated data is the primary format for statistics available in Labour Force, Australia, Labour Force, Australia, Detailed, and Data Explorer. Unit record level data is available as microdata from the Longitudinal Labour Force product and the LFS PLIDA module, and is used for customised analysis. The LFS TableBuilder product draws on unit record level data to enable you to produce tables customised to your specifications.
Key LFS data is available as original, seasonally adjusted and trend series data in Labour Force, Australia, Labour Force, Australia, Detailed, and Data Explorer. Seasonal adjustment is a statistical technique that attempts to measure and remove the effects of calendar related patterns (i.e. which happen at the same time every year). This allows other influences on the series to be more clearly recognised. Trend series data is smoothed seasonally adjusted data and reduces the impact of non-seasonal influences.
The ABS considers that trend series data provides a more reliable guide to the underlying direction of the data, and are more suitable for supporting most business decisions and policy advice.
For more information see Seasonal Adjustment and Changing Seasonality and Time Series Analysis FAQ.
Customisation
There are a large range of pre-prepared tables available for download in the main LFS publications and Data Explorer. However, if the exact combination of information you are interested in is not available, the TableBuilder product offers more flexibility and customisation.
The TableBuilder product provides a much larger range of information, and is the only source of data using international classifications, the International Standard Industry Classification (ISIC) and International Standard Classification of Occupations (ISCO).
As the level of customisation increases, you need higher levels of statistical skill and understanding to use it. So for advanced users seeking detailed customised analysis of LFS data the Longitudinal Labour Force microdata LFS PLIDA modular products are available.
Cost and access
There are a variety of ways to access LFS data depending on your requirements. You can access the main LFS publications and pre-prepared tables for free on the ABS website. The LFS Data Explorer tables are available through API and on the Data Explorer website.
The Longitudinal Labour Force and PLIDA modular products are only available in the DataLab environment. Specific project approval and online training need to be completed before access is granted. For more information see the DataLab access page.
Labour Force TableBuilder access is by organisation and is free but requires registration.
Inclusion of modelled unit records
Improvements to LFS estimation introduced in early 2024, have resulted in a mixture of direct and modelled unit records in LFS products. Inclusion of modelled unit records start from August 2016.
Direct unit records are household responses that are collected during the LFS enumeration period. The methodology page has more information on this process.
Modelled unit records use secondary data sources combined with specific benchmarks to model 2 per cent of the LFS sample. This results in more representative estimates of the Australian civilian population. More information is available in this article: Improvements to Labour Force estimation method.
The main LFS publications include all direct and all modelled unit records. To maintain usability, both the Longitudinal and TableBuilder products include a random sample of the modelled unit records along with all directly collected unit records. The LFS PLIDA module contains all directly collected records and no modelled unit records.
Modelled regional labour market estimates
The LFS has traditionally been the most used source of regional labour market data. This is because the data is available more frequently than other data sources. However, the usefulness of the LFS regional estimates is limited by the smaller sample counts that contribute to each region.
The modelled regional labour force estimates overcome this by using the combined power of administrative data and statistical modelling with the direct unit records. The administrative data sources used include de-identified Single Touch Payroll data from the Australian Taxation Office and Youth Allowance and JobSeeker data from the Department of Social Services.
The ABS recommends using these over the direct survey estimates whenever possible. See the 'Modelled v direct estimates' section of the Regional labour market guide for more information.