INTRODUCTION
The ABS is committed to helping users understand all aspects of data quality, so that they can assess the usefulness of the data for their needs. This section outlines:
- how the ABS addresses the main sources of error through quality control across Census processes and products, and
- how the ABS informs users about Census data quality
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 principle 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.
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