2901.0 - Census Dictionary, 2006 (Reissue)  
ARCHIVED ISSUE Released at 11:30 AM (CANBERRA TIME) 13/11/2007  Reissue
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Contents >> Short Definitions and Classifications - 2006 >> Usual Address One Year Ago Indicator (UAI1P) - Characteristics 2006

Usual Address One Year Ago Indicator

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Description
Image of Question
Classification
Quality Statement


Description

This variable contains the mark box answer to the question on the 2006 Census forms which asks 'Where did the person usually live one year ago (at 8 August 2005)?'. This variable when used with Usual Address Indicator (UAICP), Usual Address Five Years Ago Indicator (UAI5P), and also with place of usual residence data, shows migration patterns.


Image of Question


2006 Household Form - Question 9


Classification

Applicable to: Persons aged one year and over

1. Same as in 2006
2. Elsewhere in Australia
3. Overseas in 2005
& Not stated
@ Not applicable
V Overseas visitor 2006

Total number of categories: 6

More Detailed Description

Quality Statement - Usual Address One Year Ago Indicator (UAI1P)

There are many aspects which can affect the quality of Census data; the following information should be considered when viewing data on Usual Address One Year Ago Indicator (UAI1P).

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 for data captured or derived.

The non-response rate for 2006 was 5.9% compared with 4.1% for 2001. Part of this non-response is attributable to the 4.1% of persons in dwellings which were occupied on Census Night but did not return a Census form. Persons are imputed into these dwellings together with some demographic characteristics. However the values for UAI1P remain not stated. In 2001, 2.1% of persons were imputed into dwellings for which no form was received.

Where the check box responses for "Same as in question 8" or "Other country" have been marked, then UAI1P is captured automatically. Where the "Elsewhere ..." box is marked or no mark has been captured, clerical checks are conducted to ascertain that any address information provided is in fact "Elsewhere", and in those few cases where the address is the same as in question 8 then UAI1P is corrected to "Same as in 2006".

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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