The Australian Census Longitudinal Dataset (ACLD) uses data from the Census of Population and Housing to build a rich longitudinal picture of Australian society. The ACLD can uncover new insights into the dynamics and transitions that drive social and economic change over time, and how these vary for diverse population groups and geographies.
The ACLD is a random five per cent sample of the Australian population and three waves of data have so far contributed to the ACLD from the 2006 Census, 2011 Census and 2016 Census.
In this release of the 2006-2016 ACLD, a representative sample of records from the 2006 Census was brought together with corresponding records from the 2011 and 2016 Censuses to form the 2006 Panel of the ACLD. Additionally, records from the 2011 Census were brought together with corresponding records from the 2016 Census to form the 2011 Panel of the ACLD. While the 2011 Panel significantly overlaps with the 2006 Panel, the 2011 Panel includes new births and migrants since the 2006 Census.
This release includes summary information about the methodology, file structure, data items and how to use the microdata files. For more detailed information about the sampling and linking methodology and results, refer to Information Paper: Australian Census Longitudinal Dataset, Methodology and Quality Assessment, 2006-2016 (cat. no. 2080.5).
A detailed list of data items is available on the Downloads tab.
As part of this release, the following microdata products are available:
- 2006-2016 ACLD in TableBuilder
- 2006-2016 ACLD in the DataLab
- 2011-2016 ACLD in TableBuilder
- 2011-2016 ACLD in the DataLab
For information about:
- TableBuilder, refer to: https://www.abs.gov.au/websitedbs/D3310114.nsf/home/About+TableBuilder
- DataLab, refer to: https://www.abs.gov.au/websitedbs/D3310114.nsf/home/CURF:+About+the+ABS+Data+Laboratory+(ABSDL)
For access to the ACLD, apply online at: https://www.abs.gov.au/registration
Approved users can use the microdata to create their own customised tables using weighted and unweighted data.