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Applicable to: Occupied private dwellings being rented (including being occupied rent free)
10. Real estate agent
20. State or territory housing authority
31. Person not in the same household-parent/other relative
32. Person not in the same household-other person
40. Residential park (includes caravan parks and marinas)
51. Employer-Government (includes Defence Housing Authority)
52. Employer-other employer
60. Housing co-operative/community/church group
&& Not stated
@@ Not applicable
Total number of categories: 10
More Detailed Description
Quality Statement - Landlord Type (LLDD)
There are many aspects which can affect the quality of Census data; the following information should be considered when viewing data on Landlord Type (LLDD).
This data item is applicable to all occupied private dwellings being rented, and represents 27.2% of all occupied private dwellings.
This data was captured automatically from check box responses on the form so the risk of processing error is minimal. Sample checks of the data are undertaken to ensure an acceptable level of quality.
The non-response rate for 2006 was 3.0% compared with 2.3% for 2001. Unlike some other variables this rate is not affected by the occurrence of non-responding dwellings, as such dwellings are not applicable for Landlord Type (LLDD).
There have been changes to the order and wording of questions and responses since 2001 which may impact on the data:
In a small proportion of cases (testing has indicated that this is around 1%), respondents provide an incorrect number of responses (for LLDD respondents are asked to only mark one response). In these cases responses are accepted in the order they appear on the form and the extra responses are rejected.
A study was conducted of 2001 census data to investigate the difference between the census count for the LLDD category "State or territory housing authority" and public housing counts from other data sources. The results of the study concluded that counts for "State or territory housing authority" are affected by the incidence of non-responding and unoccupied dwellings (Refer to Appendix Cof Census Paper 03/02 - Housing, 2001 (cat. no. 2934.0). A similar study is being conducted for 2006 and the findings will become available after the release of Census data.
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.