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USING THE 2016 ACTEID IN TABLEBUILDER
Continuous data items
The 2016 Australian Census and Temporary Entrants Integrated dataset (ACTEID) contains several continuous data items. The calculation of sums, medians and means are only possible for continuous data items HRSP (Hours worked), MRED Mortgage repayments (monthly), and RNTD (Rent payments).
For information regarding the calculation of 'Sums', 'Median', 'Mean' and Ranges see the Summation options, Ranges and Quantiles section.
Multi response data items
Data items produced from a survey or Census that allow a respondent to fall into multiple categories are referred to as multiple response data items. For example, the 2016 Australian Census and Temporary Entrants Integrated Dataset (ACTEID) contains the Ancestry variable that allows respondents to report up to two ancestries on their Census form. Respondents do not have the option of ranking their answers to the ancestry question, so where a respondent reports two ancestries, those two ancestries have equal standing. The basis for allocating ancestries to the variables ANC1P and ANC2P is administrative only and is based on the order in which they are processed.
The two ancestry variables (ANC1P and ANC2P) have also been combined into one variable - Ancestry Multi Response (ANCP)
CONFIDENTIALITY FEATURES IN TABLEBUILDER
In accordance with the Census and Statistics Act 1905, all the data in TableBuilder are subjected to a confidentiality process before release. This confidentiality process is undertaken to avoid releasing information that may allow the identification of particular individuals, families, households, dwellings or businesses.
Processes used in TableBuilder to confidentialise records include the following:
Perturbation of data
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 random 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 random adjustments result in tables not adding up. While some datasets apply a technique called additivity to give internally consistent results, additivity has not been implemented on the 2016 ACTEID. 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. The following message will be displayed at the bottom of the table. INFO: Cells in this table have been randomly adjusted to avoid the release of confidential data. Discrepancies may occur between sums of the component items and totals.
Some tables generated within TableBuilder may contain a substantial proportion of very low counts within cells (excluding cells that have counts of zero). When this occurs, all values within the table are suppressed in order to preserve confidentiality.
The following messages will be displayed at the bottom of the table to indicate when table suppression has occurred:
ERROR: The table has been suppressed as it is too sparse.
ERROR: Table cell values have been suppressed.
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