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2901.0 - Census Dictionary, 2001  
Previous ISSUE Released at 11:30 AM (CANBERRA TIME) 24/04/2001   
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Contents >> Short Definitions and Classifications >> Child Type (CTPP) - Characteristics

Child Type



Description
Classification
Quality Statement


Description

This classification identifies different parent-child relationships within families and is applicable to all children present in the household.

A natural, adopted, foster or otherwise related child may be in a one or two parent family. Cross classification with Family Type (FMTF) allows analysis of different family types. More Detailed Description



Classification
Applicable to: All children

1     Natural, or adopted child of both parents or lone parent
2     Step-child of male parent
3     Step-child of female parent
4     Foster child, so stated
5     Otherwise related child (under 15)
6     Unrelated child (under 15)
@    Not applicable
V     Overseas visitor

Total number of categories:    8

Not applicable (@) category comprises:

Husband, wife, partners, lone parents, other related individuals, non-family members, or visitors (from within Australia) in family households
Persons in non-family/Non-Classifiable households
Persons in non-private dwellings
Persons in migratory and off-shore CDs

More Detailed Description


Quality Statement

Each stage of the Census is subject to stringent quality assurance measures. However, in a Census there are recognised sources of error which may survive in the data produced. Some of these are overcome or 'repaired' by careful processing procedures and quality management of the processing itself. The effect of those that remain is generally slight, although it may be more important for small groups in the population. The main kinds of error to keep in mind are:

Partial non-response - in some cases where an answer was not provided to a question an answer was imputed or derived (often from other information on the form). In other cases a 'not stated' code was allocated.

Processing error - while such errors can occur in any processing system, quality management is used to continuously improve the quality of processed data, and to identify and correct data of unacceptable quality.

Random adjustment - cells containing small values are randomly adjusted to avoid releasing information about particular individuals, families or households. The effect of random adjustment is statistically insignificant.

Respondent error - processing procedures cannot detect or repair all errors made by persons in completing the form, therefore some may remain in final data.

Undercount - although the Census aims to count each person once, there are some people who are missed and others who are counted more than once. A post enumeration survey is conducted soon after the Census to measure the undercount.

Want more information on Data Quality?

A series of Census Working Papers have been produced to assess and report on various aspects of 2001 Census data quality. More Information



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