Housing Loan Repayments (monthly) Ranges
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Classification
Quality Statement
Classification
This variable contains the amount of money spent on housing loan repayments in ranges. Individual dollar amounts and other dollar ranges are available.
Applicable to: Occupied private dwellings being purchased (including being purchased under a rent/buy scheme)
1 $1-$99
2 $100-$149
3 $150-$249
4 $250-$399
5 $400-$549
6 $550-$649
7 $650-$749
8 $750-$849
9 $850-$949
10 $950-$1,049
11 $1,050-$1,199
12 $1,200-$1,399
13 $1,400-$1,599
14 $1,600-$1,999
15 $2,000-$2,399
16 $2,400-$2,999
17 $3,000-$3,999
18 $4,000 and over
19 Not stated
20 Not applicable
Total number of categories: 20
More Detailed Description
Quality Statement - Housing Loan Repayments (monthly) ranges (HLRD01)
There are many aspects which can affect the quality of Census data; the following information should be considered when viewing data on Housing Loan Repayments (monthly) ranges (HLRD01).
This data item is applicable to occupied private dwellings being purchased and this represents 32.2% of all occupied private dwellings.
The non-response rate for 2006 was 8.0% compared with 5.6% for 2001. Unlike some other variables the non-response rate is not affected by the occurrence of non-responding dwellings, as these dwellings are not applicable for Housing Loan Repayments (monthly) ranges (HLRD01).
A contributing factor to non-response are the 2.2% of dwellings being purchased where the "Nil payments" box was marked. For these dwellings Housing Loan Repayments (monthly) dollar values (HLRD) is treated as not stated.
Household payments data is automatically captured from written numeric responses. This process is subject to some recognition error, particularly when decimal points are used. While the data is subject to normal sample checks to ensure an acceptable level of quality, numeric responses are accepted as reported. The data may then include a small proportion of dwellings with unusually large housing payment amounts, in the higher range categories.
If housing loan repayment responses are recorded as weekly or fortnightly amounts they are derived to a monthly figure.
The ABS aims to produce high quality data from the Census. To achieve this, extensive effort is put into Census form design, collection procedures, and processing procedures.
There are four principal sources of error in Census data: respondent error, processing error, partial response and undercount. Quality management of the Census program aims to reduce error as much as possible, and to provide a measure of the remaining error to data users, to allow them to use the data in an informed way.
When completing their Census form, some people do not answer all the questions which apply to them. In these instances, a 'not stated' code is allocated during processing, with the exception of non-response to age, sex, marital status and place of usual residence. These variables are needed for population estimates, so they are imputed using other information on the Census form, as well as information from the previous Census.
The processing of information from Census forms is now mostly automated, using scanning, Intelligent Character Recognition and other automatic processes. Quality assurance procedures are used during Census processing to ensure processing errors are kept at an acceptable level. Sample checking is undertaken during coding operations, and corrections are made where necessary.
The Census form may be completed by one household member on behalf of others. Incorrect answers can be introduced to the Census form if the respondent does not understand the question or does not know the correct information about other household members. Many of these errors remain in the final data.
More detailed information on data quality is available in the 2006 Census Dictionary (cat. no. 2901.0), in the section titled Managing Census Quality.
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