2901.0 - Census Dictionary, 2001  
ARCHIVED ISSUE Released at 11:30 AM (CANBERRA TIME) 24/04/2001   
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Contents >> Short Definitions and Classifications >> Number of Bedrooms in Private Dwelling (BEDD) - Characteristics

Number of Bedrooms in Private Dwelling

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Quality Statement


This dwelling variable provides a count of the number of bedrooms in each occupied private dwelling, including caravans in caravan parks.
Housing authorities and other users of ABS information use this data:

  • to provide some indication of dwelling size; and
  • to provide an indication of overcrowding by calculating occupancy ratios (i.e. the number of people per room/bedroom).

More Detailed Description

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This variable is a count of the bedrooms in each occupied private dwelling. In standard census products, BEDD data are generally published in the categories shown below. However, 2001 Census data are also available for individual numbers of bedrooms from 0 to 99.

Applicable to:    Occupied private dwellings

0    None (includes bedsitters)
1    1 bedroom
2    2 bedrooms
3    3 bedrooms
4    4 bedrooms
5    5 or more bedrooms
&&    Not stated
@@    Not applicable

Total number of categories:    8

Not applicable (@@) category comprises:

Unoccupied private dwellings
Non-Private dwellings
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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