8155.0 - Australian Industry, 2004-05  
ARCHIVED ISSUE Released at 11:30 AM (CANBERRA TIME) 21/12/2006   
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APPENDIX 2 COMPARING OTHER ABS DATA


INTRODUCTION

1 This publication presents experimental estimates to the ANZSIC class level in table 3.1. These show the relative performance of each industry class.


2 Other ABS publications also present estimates for specific industries or economic activities for the 2004-05 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, 2004-05 (cat. no. 8226.0)
Manufacturing Industry, Australia, 2004-05 (cat. no. 8221.0)
Mining Operations, Australia, 2004-05 (cat. no. 8415.0)

Biennial - Information and communication technology (ICT) industries survey:
Information and Communication Technology, Australia, 2004-05 (cat. no. 8126.0)

Irregular - service industries survey (SIS):
Gambling Services, Australia, 2004-05 (cat. no. 8684.0)
Sports and Physical Recreation Services, Australia, 2004-05 (cat. no. 8686.0)
Clubs, Pubs, Taverns and Bars, Australia 2004-05 (cat. no. 8687.0).


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 2004-05 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 estimates in this publication for the Manufacturing, Mining and Electricity, gas and water supply industries will 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 business income tax (BIT) file have been used. 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% or less of Australian sales and service income in 2004-05 for Mining and Electricity, gas and water supply, and 3% for Manufacturing), the effect of the use of different versions of the BIT file is not significant.



BIENNIAL AND IRREGULAR COLLECTIONS

5 The survey of the Information and Communication Technology industries covers the main industries involved in the production and distribution of ICT goods and services in Australia. The service industries publications listed above present results of statistical collections conducted as part of the ABS's program of Service Industries Surveys (SIS), which focuses on different industries and economic activities each year.


6 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 and ICT industries surveys present estimates for industries based on detailed financial and activity data reported in the survey. There are a number of reasons why a business classified to any given ANZSIC industry on the ABS Business Register (ABSBR) may not have been mainly engaged in activities associated with that industry during the 2004-05 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, unless they satisfied significance criteria, and generally excluded altogether from the scope of the ICT industries survey;
  • Additionally, for some of the industries covered by the service industries surveys, significance criteria were also applied to employing units.


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 and ICT industries surveys for 2004-05, set out is the percentage difference between the estimate of total income shown in Table 3.1 and the estimate from the SIS/ICT surveys. It also shows the major sources of such differences as discussed above.


10 When interpreting any differences in estimates, sampling error should also be taken into account. See Technical Note 2 for further information. The Relative Standard Error (RSE) calculated for an estimate has the effect of widening the range of possible values that the estimate might take, thereby either expanding or reducing the difference between estimates of the same variable produced from different statistical collections. In general, RSEs of estimates from the service industries surveys are typically lower than those from the Economic Activity Survey for the variables presented in table 3.1 at the ANZSIC class level. In turn, RSEs of these estimates from the Economic Activity Survey tend to be lower than those calculated for corresponding estimates from the ICT industries survey.

Difference between EAS and SIS/ICT total income estimates(a), 2004-05

Accounted for by
Percentage difference in estimates(a)
Inclusion of non-employers
Industry coding practices,
scope variations,
and other sources
ANZSIC industry class
%
%
%

2430 Recorded media manufacturing and publishing
54
4
50
2841 Computer and business machine manufacturing
35
11
24
2842 Telecommunication, broadcasting and transceiving
equipment manufacturing
36
9
27
2849 Electronic equipment manufacturing n.e.c.
-2
3
-5
2852 Electric cable and wire manufacturing
6
3
3
4613 Computer wholesaling
-15
2
-17
4614 Business machine wholesaling n.e.c.
-
3
-3
4615 Electrical and electronic equipment wholesaling n.e.c.
20
4
16
5720 Pubs, taverns and bars
10
8
2
5740 Clubs (hospitality)
-2
3
-5
7120 Telecommunication services
5
4
1
7831 Data processing services
276
21
255
7832 Information storage and retrieval services
154
26
128
7833 Computer maintenance services
108
45
63
7834 Computer consultancy services
6
8
-2
9311 Horse and dog racing
-7
25
-32
9312 Sports grounds and facilities n.e.c.
17
19
-2
9319 Sports and services to sports n.e.c.
5
16
-11
9321 Lotteries
10
2
8
9322 Casinos
-
-
-
9329 Gambling services n.e.c.
5
11
-6

- nil or rounded to zero (including null cells)
(a) The extent to which the estimate in this publication exceeds the service/ICT industry estimate, expressed as a percentage of the latter.