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To minimise the risk of identifying individuals in aggregate statistics, a technique is used to randomly adjust cell values. This technique is called perturbation. Perturbation involves small adjustments of the statistics and is considered the most satisfactory technique for avoiding the release of identifiable statistics while maximising the range of information that can be released. These adjustments have a negligible impact on the underlying pattern of the statistics.
The introduction of these adjustments result in tables not adding up. As a result, randomly adjusted individual cells will be consistent across tables, but the totals in any table will not be the sum of the individual cell values. The size of the difference between summed cells and the relevant total will generally be very small.
Please be aware that the effects of perturbing the data may result in components being larger than their totals. This includes determining proportions.
System restrictions have been implemented which prevent the cross-tabulation of certain data items within the following 2016 Census Pro datasets:
These restrictions have been applied to:
When the restriction is triggered the following error message will be displayed: "These variables cannot be used together". Other similar data items may be available. For example, if you are using Geographical Areas from Mesh Block (MBs), you may be able to use another Geographical Area data item instead, such as Main Statistical Area Structure (Main ASGS).
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2049.0.55.002 - Microdata: Census of Population and Housing: Estimating Homelessness, 2016
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