3417.0.55.001 - Microdata: Australian Census and Migrants Integrated Dataset, 2016 Quality Declaration 
Latest ISSUE Released at 11:30 AM (CANBERRA TIME) 18/07/2018   
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The TableBuilder User Guide (cat. no. 1406.0.55.005) is a comprehensive reference guide for the web interface of TableBuilder. It includes information on building and working with tables, customising data, understanding the results, data visualisation options and confidentiality processes.

Information relating to the linking methodology, scope, coverage, data collection, measures of error and interpretation of results are explained in the Explanatory Notes section.


Continuous data items

The 2016 Australian Census Migrants Integrated Dataset (ACMID) 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 Migrants Integrated Dataset (ACMID) 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) are combined into one variable Ancestry Multi Response (ANCP)

Example of differences in counts of responses for ANCP 1 and ANCP 2 are shown below.

Example of Ancestry 1st response data for British Example of Ancestry 2nd response data for British


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
    • table suppression.

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 ACMID. 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, as demonstrated below.

Example - Datatable of Sex data item showing male, female  adn total
INFO comment

(Sum of cells = 1,036,565.6 + 1,129,442.8 = 2,166,008.4. A difference of 7.9 relative to displayed total)

Table suppression

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 error message displayed at the bottom of the table indicates when table suppression has occurred.

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