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Here is the same table with a range applied for the continuous values for the data item 'Number of times participated in sport/physical recreation as a player in the last 12 months' (Sport Example). Note that the numbers of respondents for the 'Don't know' category no longer contribute to the table.
Any special codes for continuous data items are listed in the Data Item List.
FIELD EXCLUSION RULES
To ensure confidentiality, TableBuilder prevents the cross-tabulation of certain variables which could result in respondents being identified. These are know as field exclusion rules. These restrictions have been applied to the sub-state geographic and SEIFA data items such that only one sub-state geographic or SEIFA data item can be included in any one table.
The sub-state geographic and SEIFA data items available are:
ADJUSTMENT OF CELL VALUES
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 adjustment 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. After perturbation, a given published cell value will be consistent across all tables. However, adding up cell values to derive a total will not necessarily give the same result as published totals. The introduction of perturbation in publications ensures that these statistics are consistent with statistics released via services such as Table Builder.
ZERO VALUE CELLS
Tables generated from sample surveys will sometimes contain cells with zero values because no respondents that satisfy the parameters of the cell were in the survey. This is despite there being people in the population with those characteristics. That is, the cell may have had a value above zero if all persons in scope of the survey had been enumerated. This is an example of sampling variability which occurs with all sample surveys. Relative Standard Errors cannot be generated for zero cells. Whilst the tables may include cells with zero values, the ABS does not publish such zero estimates in Participation in Sport and Physical Recreation, Australia, 2013–14 (cat. no. 4177.0) and recommends that TableBuilder clients do not use these data either.
MULTI–RESPONSE DATA ITEMS
A number of the survey's data items allow respondents to provide more than one response. These are referred to as 'multi–response data items'. An example of such a data item is shown below. For this data item respondents can report all types of facilities they have used for sport/physical recreation activity in the last 12 months.
When a multiple response data item is tabulated, a person is counted against each response they have provided (e.g. a person who used "outdoor sports facilities" and "off-road cycleways or bike paths" will be counted one time in each of these two categories).
As a result, each person in the appropriate population is counted at least once, and some persons are counted multiple times. Therefore, the total for a multiple response data item will be less than or equal to the sum of its components. Multi–response data items can be identified by the initials 'MR' in the data item list, which can be accessed from the Downloads page. In the example below, the sum of the components is 27,039,900 whereas the total population is 18,474,000.
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4177.0.55.002 - Microdata: Participation in Sport and Physical Recreation, Australia, 2013-14
Latest ISSUE Released at 11:30 AM (CANBERRA TIME) 18/02/2015