APPENDIX 2 COMPARING OTHER ABS DATA
INTRODUCTION
1 This publication presents experimental estimates at the ANZSIC class level in table 3.1. These show the relative performance of each industry class, and allow patterns of change or growth to be analysed across particular segments of the Australian economy.
2 Several other ABS publications also present estimates for specific industries or economic activities for the 2002-03 reference year. These publications can be categorised based on the frequency of the statistical collections that produce them, that is:
Annual:
Electricity, Gas, Water and Sewerage Operations, Australia, 2001-02 and 2002-03 (cat. no. 8226.0)
Manufacturing Industry, Australia, 2001-02 and 2002-03 (cat. no. 8221.0)
Mining Operations, Australia, 2001-02 and 2002-03 (cat. no. 8415.0)
Irregular - construction industry survey:
Private Sector Construction Industry, Australia, 2002-03 (cat. no. 8772.0)
Irregular - service industries survey (SIS):
Hire Services, Australia, 2002-03 (cat. no. 8567.0)
Performing Arts, Australia, 2002-03 (cat. no. 8697.0)
Real Estate Services, Australia, 2002-03 (cat. no. 8663.0)
Television, Film and Video Production, Australia, 2002-03 (cat. no. 8679.0)
Waste Management Services, Australia, 2002-03 (cat. no. 8698.0)
3 These publications supplement the Australian Industry summary statistics with a detailed examination of the structure and performance of businesses involved in selected economic activities for the 2002-03 reference year.
ANNUAL COLLECTIONS
4 The annual publications listed above present results from statistical collections that also contribute to the estimates shown in this publication. Hence, the new infrastructure estimates in this publication for the MANUFACTURING, MINING and ELECTRICITY, GAS AND WATER SUPPLY industries should closely resemble those presented in the publications specific to those industries. The only difference in methodology used to produce the two sets of estimates is that different versions of the ATO BIT file have been used to produce the estimates for 2002-03. Specifically, because of the different processing timetables of the respective surveys, a later version of BIT data has been available for use in compiling the estimates in this publication compared to those in the industry-specific publications listed above. Because the contribution of BIT data to aggregates for these industries is relatively small (1% of Australian sales and service income in 2002-03 for MINING, less than 4% for MANUFACTURING, and less than 2% for ELECTRICITY, GAS AND WATER SUPPLY), the effect of the use of different versions of the ATO BIT file is not significant.
IRREGULAR COLLECTIONS
5 The construction industry publication listed above presents more detailed data than that included in this publication, with (unlike the annual collections above) estimates identical to those in this publication.
6 The service industries publications listed present results of statistical collections conducted as part of the ABS's program of Service Industries Statistics, which focuses on different industries and economic activities each year. The scope and coverage of these collections differ from those which produce the estimates in this publication, and hence differences in results can arise. These differences are further explained below.
7 One reason that the two sets of estimates vary relates to the use of different industry coding practices. For the Australian Industry publication, businesses are coded to ANZSIC industry classes on the basis of the activity reported to the ATO when they registered for an ABN or, for more complex businesses, on the basis of information reported directly to the ABS. On the other hand, the service industries surveys present estimates for industry classes based on detailed financial data reported in the survey during the 2002-03 reference year. There are a number of reasons why a business classified to any given ANZSIC industry class may not be mainly engaged in activities associated with that class during the 2002-03 reference year. This may be because of inaccurate or incomplete information at the time the business was registered, or it may be because the business has changed activity, either temporarily or permanently.
8 Another reason for differences relates to the scope of the respective surveys:
- Non-employing units were included in the scope of Australian Industry but generally excluded from the scope of the service industries collections.
- Data presented for ANZSIC class 9122 TELEVISION SERVICES in the service industries publication relate to only a subset of businesses classified to that industry on the ABSBR, whereas the data in Australian Industry relate to all such businesses.
- Some businesses not classified to the relevant industries on the ABSBR were added as supplementary units to some of the service industry surveys. Similarly, some government organisations (which are excluded from the scope of the Australian industry estimates) were also added. The supplementary units consisted of :
- businesses from other ANZSIC industry classes that were known to undertake significant economic activity of interest to the survey (e.g. addition of some construction businesses for the purpose of producing estimates of crane hire activity for the hire services survey)
- in the case of the film and video production survey, non-employing businesses known to have significant economic activity in the production of feature films
- general government organisations in the case of the waste management survey.
9 The table below gives an approximate indication of the effects of these factors in contributing to differences in estimates. For each industry included in the service industries surveys for 2002-03, it sets out the percentage difference for two key variables presented in Table 3.1 compared to their estimates from the SIS surveys, and attempts to quantify the major sources of such differences as discussed above. Because the effect of including non-employing units tends to outweigh the differences attributable to other scope variations and the different industry coding practices between the surveys, the net effect of these differences is that estimates presented in this publication tend to be greater than those from the service industries surveys.
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