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IN THIS ISSUE
The BLD CURF is populated using three data sources; directly collected characteristics data from the annual Business Characteristics Survey; data from Business Activity Statements sourced from the Australian Taxation Office (provided to the ABS as administrative by-product); and basic merchandise trade data originally sourced from the Australian Customs and Border Protection Service and used by the ABS to compile merchandise trade statistics. Users should be aware that although several steps have been taken to ensure the confidentiality of the respondents the data itself may still contain errors. These errors can be introduced through inadequacies in the questionnaire, treatment of non-response, inaccurate reporting by respondents, errors in the application of survey procedures, incorrect recording of answers and errors in data capture and processing. Whilst every effort has been made to reduce errors in the data during the survey cycle, data obtained from alternative sources (such as the ATO and Customs) are as reported and are not assessed for accuracy.
Users must also be aware that the items collected as part of the Business Characteristics Survey (BCS) are dynamic in nature and the concepts measured are subject to evolution and refinement over time; it is not possible to measure the impact of these changes on data quality. These considerations do not diminish the usefulness of analysis from the BLD CURF.
Further information about data quality is provided in the Quality Declaration under the Explanatory Notes section and must be taken into consideration when interpreting the statistics in this release.
In response to user feedback, a Test File for the BLD CURF has been created to assist users in writing and testing code in preparation for analysis using the BLD CURF. The Test File contains 500 units of fabricated data; it does not contain real data and cannot be used for analysis. The Test File can be accessed from the Downloads tab.
For further information about this publication, contact David Taylor on (08) 9360 5275 or email email@example.com.
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