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6 The scope of the collection consists of all business entities operating in the Australian economy during 2010-11, except for:
7 Government-owned or controlled Public Non-Financial Corporations are included.
8 This section discusses frame, statistical units, coverage issues and improvements to coverage.
9 Businesses contributing to the estimates in this publication are sourced from the ABS Business Register (ABSBR), which has two components as described below.
10 The ABS uses an economic statistics units model on the ABSBR to describe the characteristics of businesses and the structural relationships between related businesses. Within large and diverse business groups, the units model is used to define reporting units that can provide data to the ABS at suitable levels of detail.
11 In mid 2002, the ABS commenced sourcing its register information from the ABR and at that time changed its business register to a two population model. The two populations comprise what is called the Profiled Population and the Non-Profiled Population. The main distinction between businesses in the two populations relates to the complexity of the business structure and the degree of intervention required to reflect the business structure for statistical purposes.
12 The majority of businesses included on the ABS Business Register are in the Non-Profiled Population. Most of these businesses are understood to have simple structures. For these businesses, the ABS is able to use the ABN as the basis for a statistical unit. One ABN equates to one statistical unit.
13 For a small number of businesses, the ABN unit is not suitable for ABS economic statistics purposes and the ABS maintains its own units structure through direct contact with businesses. These businesses constitute the Profiled Population. This population consists typically of large or complex groups of businesses. The statistical units model below caters for such businesses:
Contribution of statistical units to the estimates
14 The following paragraphs outline the way in which categories of statistical units contribute to the estimates of financial and economic variables presented in this publication.
15 All units in the Profiled Population (i.e. TAUs) were eligible to be selected for direct collection.
16 All units on the ABSBR not classified as TAUs were ABN units from the Non-Profiled Population.
17 An indication of the importance of these populations can be gained from their contribution to the national estimate of sales and service income. The following table shows their proportional contributions to sales and service income by ANZSIC division.
18 The ANZSIC-based industry statistics presented in this publication are compiled differently from activity statistics. Each ABN unit or TAU on the ABSBR has been classified (by the ATO and the ABS respectively) to its single predominant industry class, irrespective of any diversity of activities undertaken.
19 Some businesses engage, to a significant extent, in activities which are normally carried out by different industries. For example, a predominantly mining business may also undertake significant amounts of manufacturing. Similarly, a mining business may produce significant volumes of goods which are normally produced in different mining industries. Where a business makes a significant economic contribution to industries classified to different ANZSIC subdivisions, the ABS includes the business in the Profiled Population, and 'splits' the TAU's reported data between the industries involved. Significance is determined using total income.
20 A TAU's reported data are split if the inclusion of data relating to the secondary activity, in the statistics of the industry of the primary activity, distorts (by overstating or understating) either the primary or secondary industry statistics at the ANZSIC subdivision level by:
21 The ABS attempts to maintain a current understanding of the structure of the large, complex and diverse business groups that form the Profiled Population on the ABSBR, through direct contact with those businesses. Resultant changes in their structures on the ABSBR can affect:
22 The ABS attempts to obtain data for those businesses selected for direct collection and which ceased operation during the year but it is not possible to obtain data for all such businesses.
Improvements to coverage
23 Data in this publication have been adjusted to allow for lags in processing new businesses to the ABSBR, and the omission of some businesses from the register. The majority of businesses affected, and to which the adjustments apply, are small in size. As an example, the effect of these adjustments is generally 4% or less for most ANZSIC industry divisions and for most states and territories.
24 Adjustments have been made to include new businesses in the estimates for the period in which they commenced operation, rather than when they were processed to the ABSBR. Adjustments of this type will continue to be applied in future periods.
25 For more information on these adjustments, please refer to the ABS publication Information Paper: Improvements to ABS Economic Statistics, 1997 (cat. no. 1357.0).
DEFINITION OF KEY TERMS
26 Selected key terms are described below.
Industry performance measures
27 This publication presents a wide range of data that can be used to analyse business and industry performance.
28 Differences in accounting policy and practices across businesses and industries can lead to some inconsistencies in the data input to the statistics. Although much of the accounting process is subject to standards, there is still a great deal of flexibility left to individual managers and accountants through the accounting policies and practices they adopt. For example, the way profit is measured is affected by management policy about such issues as depreciation rates, bad debt provisions and write off, and goodwill write off. The varying degree to which businesses consolidate their accounts may also affect any industry performance measures calculated.
29 A range of performance measures, usually referred to as ratios, can be produced from the data available from businesses' financial statements. The performance measures presented in this publication comprise:
30 The above limitations are not meant to imply that analysis based on these data should be avoided, only that they should be borne in mind when interpreting the data presented in this publication.
Industry value added
31 Industry value added (IVA) is the measure of the contribution by businesses in each industry to gross domestic product. The IVA table presents estimates of the components of IVA for all industries that are within the scope of the collection.
32 There are two types of businesses: 'market' and 'non-market' producers. Market producers sell their output to achieve a profit, whereas non-market producers sell their output at economically insignificant prices. IVA is derived differently for market and non-market producers. The industries in which non-market producers make the most significant contribution to IVA are Health care and social assistance (private) and Other services. See the Glossary definition of IVA for further detail.
AUSTRALIAN EQUIVALENTS TO INTERNATIONAL FINANCIAL REPORTING STANDARDS
33 The new Australian Equivalents to International Financial Reporting Standards (AEIFRS) were progressively implemented in Australia from 1 January 2005. As a result, a number of items in the financial accounts of Australian businesses have been affected by changed definitions, which have in turn affected both income statements and balance sheets. A range of ABS economic collections source data from financial accounts of businesses and use those data to derive economic statistics. There have been no changes in the associated economic definitions.
34 Since the implementation of AEIFRS, analysis of published time series data has indicated structural breaks in series. The magnitude of such breaks, however, cannot be determined without imposing a disproportionate load upon data providers to ABS surveys and other administratively collected data. The ABS will continue to monitor developments and report any significant identified impacts as a result of AEIFRS.
35 In order to minimise the load placed on providers, the strategy for this survey was to use, as much as possible, information sourced from the ATO, thus reducing the size of the direct collect sample needed to maintain the range and quality of information available to users of statistical data. The frame (from which the direct collect sample was selected) was stratified using information held on the ABSBR. Businesses eligible for selection in the direct collect sample were then selected from the frame using stratified random sampling techniques.
36 Businesses were only eligible for selection in the survey (the direct collect sample) if their turnover exceeded a threshold level, or the business was identified as being an employing business (based on ATO information), as at the end of the reference period. Turnover thresholds were set for each ANZSIC class so that the contribution of surveyed businesses accounted for approximately 97.5% of total industry class turnover as determined by Business Activity Statement (BAS) data. A sample of 23,103 businesses was selected for the directly collected part of the 2010-11 EAS. Each business was asked to provide data sourced primarily from financial statements, mainly by mail out questionnaires. Businesses were also asked to supply key details of their operations by state and territory, enabling production of the state/territory estimates.
37 Businesses which met neither of these criteria are referred to as 'micro non-employing businesses'. These businesses were not eligible for selection in the sample. For these units, BAS data were obtained and annualised, then added to the directly collected estimates to produce the statistics in this publication. The estimated value of annual BAS turnover of micro non-employing businesses during the 2010-11 reference year was $43.1b, or 1.3% of total BAS turnover in Total selected industries.
EFFECTS OF ROUNDING
38 Where figures have been rounded, discrepancies may occur between totals and the sums of the component items.
39 Proportions, ratios and other calculated figures shown in this publication have been calculated using unrounded estimates and may be different from, but are more accurate than, calculations based on the rounded estimates.
Comparison with other ABS statistics
40 In some cases estimates given in this publication may differ slightly from those from other sources. These differences may be the result of sampling or non-sampling error, or may result from differences in scope, coverage, definitions or methodology.
41 Estimates for the 2008-09 and 2009-10 reference years have been revised since the previous issue of this publication. The revisions are incorporated in this publication and in the extended data spreadsheets available free online. The majority of the revisions result from new information received. Note that the extent of revisions may differ for individual industries and/or between data items.
42 For example, at the Total selected industries level, the effect of these revisions on 2009-10 estimates was: a decrease of $4.2b (-0.2%) in sales and service income; a decrease of $4.2b (-0.2%) in total income; a decrease of $9.4b (-0.4%) in total expenses; and an increase of $3.9b (0.5%) in industry value added (IVA).
43 A range of further information is available, as described below.
44 The following ABS publications present economy-wide and industry specific data:
Other information available
45 More detailed estimates than those included in the PDF version of this publication are available in spreadsheet format. Both versions can be found by selecting the Downloads tab at the top of this page.
46 Finer level estimates for the Australian manufacturing industry for 2010-11 will be released in July 2012 as a data cube on the web page for Australian Industry (cat. no. 8155.0). They were previously released in Experimental Estimates for the Manufacturing Industry, 2009-10 (cat. no. 8159.0).
47 The ABS also issues a daily Release Advice on its web site which details products to be released in the week ahead.
48 Inquiries should be made to the National Information and Referral Service on 1300 135 070 or email <firstname.lastname@example.org>.
49 ABS publications draw extensively on information provided freely by individuals, businesses, governments and other organisations. Their continued cooperation is very much appreciated; without it, the wide range of statistics published by the ABS would not be available. Information received by the ABS is treated in strict confidence as required by the Census and Statistics Act 1905.
Use of Australian Taxation Office (ATO) data in this publication
50 The results of these studies are based, in part, on tax data supplied by the ATO to the ABS under the Income Tax Assessment Act 1936, which requires that such data are only used for statistical purposes. No individual information collected under the Census and Statistics Act 1905 is provided back to the ATO for administrative or regulatory purposes. Any discussion of data limitations or weaknesses is in the context of using the data for statistical purposes, and is not related to the ability of the data to support the ATO's core operational requirements.
51 Legislative requirements to ensure privacy and secrecy of these data have been followed. Only people authorised under the Australian Bureau of Statistics Act 1975 have been permitted to view data about any particular organisation and/or person in conducting these analyses. No information about individual taxpayers (persons) has been released to the ABS. Aggregated personal income tax data are confidentialised by the ATO before release to the ABS. In accordance with the Census and Statistics Act 1905, results have been confidentialised to ensure that they are not likely to enable identification of a particular person or organisation.
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