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Australian Bureau of Statistics | ||
2901.0 - Census Dictionary, 2011
Latest ISSUE Released at 11:30 AM (CANBERRA TIME) 23/05/2011 |
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The Census uses Australian standard classifications where available and appropriate. Examples of these are the Australian and New Zealand Standard Classification of Occupations (ANZSCO), First Edition, Revision 1 or the Standard Australian Classification of Countries (SACC), Second Edition, Revision 1. These Australian standard classifications are used as the basis for Census output classifications such as Country of Birth of Person which uses SACC. Australian standard classifications are reviewed on an irregular basis to reflect changes in Australian society. A summary of any changes to these classifications is provided in the section 'What's New for 2011 - New and Revised Classifications'. Where an Australian standard classification is not available, classifications specific to Census variables have been developed. Examples of such Census classifications are Child Type and Method of Travel to Work. The categories of these classifications are reviewed prior to each Census. A summary of changes to Census variables is provided in the section 'What's New for 2011 - Summary of Changes to Variables 2006 to 2011'. Each classification, or variable, listed in this dictionary has a mnemonic associated with it - for example, HIND for Total Household Income (weekly). Mnemonics are a convenient shorthand method of describing Census classifications when specifying output requirements. Each classification relates to either a dwelling (or household), family or person. The last character of the mnemonic indicates the unit to which the classification relates:
Specifying Recodes and User Defined Fields If the tables available in standard Census publications do not meet a user's needs, user defined customised tables can be created. Customised tables often require the use of recodes, tailored to the client's requirements which include re-grouping fields in a classification. More complex User Defined Fields (UDFs) are new fields that can be created based on conditions applied to existing fields. UDFs can be created from two or more fields in a database or can consist of mathematical functions. A recode example:
1 Employed, worked full-time 2 Employed, worked part-time 3 Employed, away from work 4 Unemployed, looking for full-time work 5 Unemployed, looking for part-time work 6 Not in the Labour Force & Not stated @ Not applicable V Overseas visitor Recoded Labour Force Classification 1 Employed 2 Unemployed 3 Not in the Labour Force & Not Stated The recoded Labour Force Classification was recoded by:
A User Defined Field example:
This page last updated 20 May 2011
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