4715.0.55.001 - Microdata: National Aboriginal and Torres Strait Islander Health, Australia, 2018-19 Quality Declaration 
Latest ISSUE Released at 11:30 AM (CANBERRA TIME) 26/03/2020   
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Using TableBuilder

TableBuilder User Guide

The TableBuilder User Guide provides you with information about how to create basic tables, custom groups, graphs and large tables. It also includes practical examples and video tutorials.


When tabulating data in TableBuilder, person weights are automatically applied to the underlying sample counts. Weighting is the process of adjusting results from a sample survey to infer results for the total population. To do this, a 'weight' is allocated to each sample unit. The weight is the value that indicates how many population units are represented by the sample unit.

There are three weights on the file:

  • Household weight PAA - benchmarked to produce Aboriginal and Torres Strait Islander household estimates.
  • Person weight PAA - benchmarked to the total Aboriginal and Torres Strait Islander population.
  • Hearing test weight - must be used whenever an item is used from the hearing level.

When analysing a Household level item, you may want to change the summation weight from persons to households. For example, if you wanted to know the number of households in a state rather than the number of persons living in that state. In this case, you would add the weight called 'Household weight PAA' from the Summation Options heading. The default weight is 'Person weight PAA' - a count of persons.

The weighted counts for the selected person and the hearing level are the same, which is because only a maximum of one hearing test was counted for each person. When analysing any item from the Hearing level, you must use the 'Hearing test weight'. You would add the weight called 'Hearing' from the Summation Options heading. If the correct weight is not used, the errors associated with the data will be incorrect.

Not Applicable Categories

Most data items included in the TableBuilder file include a 'Not applicable' category. The classification values of these 'Not applicable' categories, where relevant, are shown in the data item list on the Downloads page. The 'Not applicable' category generally represents the number of people who were not asked a particular question or the number of people excluded from the population for a data item when that data was derived (e.g. Age started having daily insulin injections is not applicable for people who do not have daily insulin injections).

Table Populations

The population relevant to each data item is identified in the data item list and should be kept in mind when extracting and analysing data. The actual population estimate for each data item is equal to the total cumulative frequency minus the 'Not applicable' category.

Continuous data items

TableBuilder includes a number of continuous variables:
  • They can have a response value at any point along a continuum.
  • Some continuous data items are allocated special codes for certain responses (e.g. 9999 = 'Not applicable)
  • When creating ranges in TableBuilder for such continuous items, special codes will automatically be excluded. Therefore the total will show only 'valid responses' rather than all responses (including special codes).
  • Continuous items with special codes have a corresponding categorical item on the Person level that provides the ability to display data for the special code.
  • Any special codes for continuous data items are listed in the data item list on the Downloads page.

Multiple response data items

A number of data items allow a respondent to have more than one response. For these items, a person is counted against each category they responded to and consequently the sum of the categories may be different to the total. The table below displays the multiple response data item 'Sources of personal income (NR only)' with the Person weight PAA. For example, a person who receives a 'wage or salary', 'superannuation or annuity' and an 'Other regular source' of income will be counted against each of these three categories.

Multiple response data items are identified in the Data Item List in the label using the indicator ‘<multiple response>’.


A confidentiality process called perturbation is applied to the data in TableBuilder to avoid releasing information that may lead to the identification of individuals, families, households, dwellings or businesses. See Confidentiality in the TableBuilder user guide.

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