Landlord Type
Description
Image of Question
Classification
Quality Statement
Description
This variable provides information on the type of landlord for rented dwellings. It applies to all households who are renting the dwelling (including caravans, etc. in caravan parks) in which they are enumerated on Census Night. Landlord Type allows data to be produced for studies of the socioeconomic characteristics of tenants of public authority housing. It also allows for comparisons with tenants in privately owned accommodation. More Detailed Description
Image of Question
Classification
Applicable to: Occupied private dwellings being rented (including rent free accommodation)
1 Private landlord not in same household
2 Real estate agent
3 State/Territory housing authority
4 Community or co-operative housing group
5 Employer-government
6 Employer-other
7 Other landlord type
& Not stated
@ Not applicable
Total number of categories: 9
Not applicable (@) category comprises:
Occupied private dwellings with Tenure Type (TEND) of Fully owned, Being purchased, Being purchased under a rent/buy scheme, Being occupied under a life tenure scheme, Other and Not stated
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 |
Print Page