Business Indicators
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Contains quarterly estimates of profits, income from the sale of goods and services, wages and salaries, and the book value of inventories. These data are classified by broad industry, and original, seasonally adjusted and trend estimates are included for Australia, in current price terms. Volume measures are published for sales and inventories. State/territory data will also be included for sales, and wages and salaries, in current price terms.

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The Australian and New Zealand Standard Industrial Classification has been developed for use in both countries for the production and analysis of industry statistics. For more information, users are referred to Australian and New Zealand Standard Industrial Classification (ANZSIC), 2006 (cat. no. 1292.0). In order to classify data by industry, each statistical unit (as defined above) is classified to the Australian and New Zealand Standard Industrial Classification industry in which it mainly operates.

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In this publication, the seasonally adjusted estimates are produced by the concurrent seasonal adjustment method which takes account of the latest available original estimates. This method improves the estimation of seasonal factors, and therefore, the seasonally adjusted and trend estimates for the current and previous quarters. As a result of this improvement, revisions to the seasonally adjusted and trend estimates will be observed for recent periods. A more detailed review is conducted annually prior to the September quarter release using data up to and including the June quarter.

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Business IndicatorsAbstract

Contains quarterly estimates of profits, income from the sale of goods and services, wages and salaries, and the book value of inventories. These data are classified by broad industry, and original, seasonally adjusted and trend estimates are included for Australia, in current price terms. Volume measures are published for sales and inventories. State/territory data will also be included for sales, and wages and salaries, in current price terms.

Contact person/organisation

For further information about these and related statistics, contact the National Information and Referral Services on 1300 135 070.

Direct source

Business Indicatorshttp://www.abs.gov.au/ausstats/abs@.nsf/mf/5676.0Source Periodicity

Quarterly

Sampling

The survey is conducted by mail on a quarterly basis. It is based on a random sample of approximately 16,000 units which is stratified by industry, state/territory and number of employees. All private sector units with over 300 employees, and other statistically significant units, such as joint venture partners, are included in the sample. Respondents are asked to provide data on the same basis as their own management accounts. Where a selected unit does not respond in a given survey period, a value is estimated. If data are subsequently provided, the estimated value is replaced with the reported data. Aggregates are calculated from all data using the ‘number raised’ estimation technique. Data are edited at both individual unit level and aggregate level.

Explanatory Noteshttp://www.abs.gov.au/AUSSTATS/abs@.nsf/Lookup/5676.0Explanatory%20Notes1Mar%202016?OpenDocument
Statistical population

In the Quarterly Business Indicators Survey the statistical unit used to represent businesses, and for which statistics are reported, is the Australian Business Number (ABN) unit, in most cases. The ABN unit is the business unit which has registered for an ABN, and thus appears on the ATO administered Australian Business Register. This unit is suitable for ABS statistical needs when the business is simple in structure.

Explanatory Noteshttp://www.abs.gov.au/AUSSTATS/abs@.nsf/Lookup/5676.0Explanatory%20Notes1Mar%202016?OpenDocument
Key statistical concept

The data collected in the Quarterly Business Indicators Survey are used in the compilation of the quarterly estimates of the Australian National Accounts. Inventories data are used to compile estimates of the increase in book value of non-farm inventories. Estimates of sales of goods and services are used to help derive quarterly chain volume measures of gross value added for selected industries. Company gross operating profits data are used to compile estimates of gross operating surplus of private non-financial corporations. From March quarter 2002, estimates of wages and salaries are being used to compile estimates for compensation of private sector employees. For further details see Australian National Accounts: Concepts, Sources and Methods (cat. no. 5216.0).

Australian National Accounts: Concepts, Sources and Methodshttp://www.abs.gov.au/ausstats/abs@.nsf/mf/5216.0
Classification(s) used

The Australian and New Zealand Standard Industrial Classification has been developed for use in both countries for the production and analysis of industry statistics. For more information, users are referred to Australian and New Zealand Standard Industrial Classification (ANZSIC), 2006 (cat. no. 1292.0). In order to classify data by industry, each statistical unit (as defined above) is classified to the Australian and New Zealand Standard Industrial Classification industry in which it mainly operates.

Seasonal adjustment

In this publication, the seasonally adjusted estimates are produced by the concurrent seasonal adjustment method which takes account of the latest available original estimates. This method improves the estimation of seasonal factors, and therefore, the seasonally adjusted and trend estimates for the current and previous quarters. As a result of this improvement, revisions to the seasonally adjusted and trend estimates will be observed for recent periods. A more detailed review is conducted annually prior to the September quarter release using data up to and including the June quarter.

Explanatory Noteshttp://www.abs.gov.au/AUSSTATS/abs@.nsf/Lookup/5676.0Explanatory%20Notes1Mar%202016?OpenDocument
Quality comments

Please refer to the Technical Note on Data Quality

Quality Declarationhttp://www.abs.gov.au/AUSSTATS/abs@.nsf/Latestproducts/5676.0Quality%20Declaration1Mar%202016?opendocument&tabname=Notes&prodno=5676.0&issue=Mar%202016&num=&view=