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8663.0 - Real Estate Services, Australia, 2002-03  
Latest ISSUE Released at 11:30 AM (CANBERRA TIME) 22/04/2004   
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INTRODUCTION

1 This publication presents results from a survey of real estate services businesses for the reference year 2002-03. This is the fifth time the ABS has conducted this survey. Previous statistics were released for 1998-99, 1995-96, 1992-93 and 1987-88.



SCOPE

2 The scope of the survey was all employing units on the ABS Business Register, classified to class 7720 - Real Estate Agents - of the Australian and New Zealand Standard Industrial Classification (ANZSIC). ANZSIC class 7720 consists of businesses mainly engaged in valuing, purchasing, selling (by auction or private treaty), managing or renting real estate for others.


3 Government valuer generals organisations were excluded from the scope of this survey.



STATISTICAL UNITS DEFINED ON THE ABS REGISTER

4 The ABS uses an economic statistics model on the ABS Business Register to describe the characteristics of businesses, and the structural relationships between related businesses. The units model is also used to break groups of related businesses into relatively homogeneous components that can provide data to the ABS.


5 In mid-2002, to better use the information available as a result of The New Tax System (TNTS), the ABS changed its economic statistics units model. The new units model allocates businesses to one of two sub-populations. The vast majority of businesses are in what is called the Australian Taxation Office (ATO) Maintained Population, while the remaining businesses are in the ABS Maintained Population. Together, these two sub-populations make up the ABS Business Register population.


ATO Maintained Population

6 Most businesses and organisations in Australia need to obtain an Australian Business Number (ABN), and are then included on the ATO Australian Business Register. Most of these businesses have simple structures; therefore the unit registered for an ABN will satisfy ABS statistical requirements. For these businesses, the ABS is aligning its statistical units structure with the ABN unit. The businesses with simple structures constitute the ATO Maintained Population, and the ABN unit will be used as the economic statistics unit for all economic collections.


ABS Maintained Population

7 For the population of businesses where the ABN unit is not suitable for ABS statistical requirements, the ABS will maintain its own units structure through direct contact with the business. These businesses constitute the ABS Maintained Population. This population consists mainly of large, complex and diverse businesses. The new statistical units model described below has been introduced to cover such businesses:

  • Enterprise Group: This is a unit covering all the operations in Australia of one or more legal entities under common ownership and/or control. It covers all the operations in Australia of legal entities which are related in terms of the current Corporations Law (as amended by the Corporations Legislation Amendment Act 1991), including legal entities such as companies, trusts, and partnerships. Majority ownership is not required for control to be exercised.
  • Enterprise: The enterprise is an institutional unit comprising (i) a single legal entity or business entity, or (ii) more than one legal entity or business entity within the same Enterprise Group and in the same institutional sub-sector (i.e. they are all classified to a single Standard Institutional Sector Classification of Australia sub-sector).
  • Type of Activity Unit (TAU): The TAU is comprised of one or more business entities, sub-entities or branches of a business entity within an Enterprise Group that can report production and employment data for similar activities. When a minimum set of data items are available, a TAU will be created which covers all the operations within an industry subdivision (and the TAU will be classified to the relevant subdivision of the ANZSIC). Where a business cannot supply adequate data for each industry, a TAU will be formed which contains activity in more than one industry subdivision.

8 For more information on the impacts of the introduction of the new economic statistics units model, refer to Information Paper: Improvements in ABS Economic Statistics [Arising from the New Tax System] (cat. no. 1372.0).


9 Prior to the 2002-03 cycle, the Real Estate Services Survey used the management unit as the statistical unit. For issues of this publication relating to 2002-03 onwards, the statistical unit in the Real Estate Services Survey is the ABN unit for businesses with simple structures, and the TAU for businesses with complex structures. In most cases, ABN/TAU units concord with the management units used in the 1998-99 cycle.



COVERAGE

10 The frame used for the Real Estate Services Survey, like most ABS economic surveys, was taken from the ABS Business Register. The ABS Business Register is primarily based on registrations to the Australian Taxation Office's Pay As You Go Withholding (PAYGW) scheme (and prior to 1 July 2000, the Group Employer (GE) scheme). The frame is updated quarterly to take account of new businesses and businesses which have ceased employing.


11 Businesses which have ceased employing are identified when the Australian Taxation Office cancels their PAYGW registration (or previously their GE registration). In addition, from July 1999 to the end of June 2000, businesses which did not remit under the GE scheme for the previous five quarters were removed from the frame. A similar process has recently been adopted to remove businesses which do not remit under the PAYGW scheme.


12 The introduction of The New Tax System has a number of significant implications for ABS business statistics, and these are discussed in: Information Paper: ABS Statistics and The New Tax System (cat. no. 1358.0) and Information Paper: Improvements in ABS Economic Statistics [Arising from The New Tax System] (cat. no. 1372.0).



IMPROVEMENTS TO COVERAGE

13 Data in this publication have been adjusted to allow for lags in processing new businesses to the ABS Business Register, and the omission of some businesses from the register. The majority of businesses affected, and to which the adjustments apply, are small in size.


14 Adjustments have been made to include new businesses in the estimates in the periods in which they commenced operations, rather than when they were processed to the ABS Business Register. Adjustments of this type will continue to be applied in future periods.


15 For more information on these adjustments, please refer to the ABS publication Information Paper: Improvements to ABS Economic Statistics, 1997 (cat. no. 1357.0).



COMPARISON WITH OTHER ABS STATISTICS

16 Annual data for the real estate agents industry is published in Australian Industry (cat. no. 8155.0). There are important differences between the statistics published in the Australian Industry and Real Estate Services publications and users should exercise caution when making comparisons between the two sets of estimates.


17 The Australian Industry publication presents annual summary statistics at the ANZSIC class level. It shows the relative performance of each industry class, and allows patterns of change or growth to be analysed across particular segments of the Australian economy. The industry estimates presented in Australian Industry are used in the compilation of the National Accounts, and in the derivation of economy-wide indicators such as gross domestic product (GDP).


18 The Real Estate Services publication supplements the annual industry summary statistics with a detailed examination of the structure and performance of businesses involved in real estate services for the reference year of the survey.


19 One reason the two sets of estimates are different relates to the use of varied 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, information reported directly to the ABS (see paragraphs 4-7). On the other hand, Real Estate Services presents estimates for industry classes based on detailed financial data reported in the survey. Approximately 21% of businesses in the Real Estate Services Survey, which were originally coded to ANZSIC Class 7720, were found to have predominant activity outside the scope of the collection (see paragraphs 2-3), and have consequently been excluded from the results presented in this publication.


20 Other differences in results relate to further scope and coverage variations between the two surveys. Non-employing units were included in the scope of Australian Industry, but generally excluded from Real Estate Services.



HISTORICAL COMPARISONS

21 While comparisons are made between 2002-03 survey results and the earlier iteration of the Real Estate Services Survey, the reader should bear in mind that the survey has not been designed to support accurate estimates of change, and should exercise caution when comparing 2002-03 results to 1998-99 results.


22 Occupation definitions have been redefined to align as closely as possible to the Australian Standard Classification of Occupations (ASCO) and are therefore not directly comparable with the 1998-99 survey.


23 For the purposes of this survey, estimates for multi-state businesses were compiled differently. For the ABS maintained multi-state businesses, the state with the largest employment was defined as the main state. For ATO maintained businesses, there was no state employment breakdown, therefore the business address of the lead unit was defined as the main state. That is, data for multi-state units were assigned to the state with predominant employment for that business or the main business address of that business rather than the state of actual operations. During 1998-99, data for multi-state businesses was assigned according to actual state of operations, known as State of Location.



RELIABILITY OF THE DATA

24 When interpreting the results of a survey it is important to take into account factors that may affect the reliability of estimates. Such factors can be classified as either sampling or non-sampling error.


25 The estimates are based on information obtained from a randomly selected stratified sample of real estate services businesses in the Australian business population. Consequently, the estimates in this publication are subject to sampling variability, that is, they may differ from the figures that would have been obtained if all units had been included in the survey, that is if a census was conducted. One measure of the likely difference is given by the standard error (SE), which indicates the extent to which an estimate might have varied by chance because only a sample of units was included.


26 There are about two chances in three that a sample estimate will differ by less than one SE from the figure that would have been obtained if a census was conducted and approximately 19 chances in 20 that the difference will be less than two SEs.


27 Sampling variability can also be measured by the relative standard error (RSE), which is obtained by expressing the SE as a percentage of the estimate to which it refers. The RSE is a useful measure in that it provides an immediate indication of the sampling error in percentage terms, and this avoids the need to refer also to the size of the estimate.


28 The following table contains estimates of RSEs for a selection of the statistics presented in this publication.

RELATIVE STANDARD ERRORS FOR TABLE 1 SUMMARY OF OPERATIONS, Real estate services

2002-03
Franchised real estate agents
Non-franchised real estate agents
Other real estate services
Total
%
%
%
%

Businesses at end June
7.3
6.8
12.7
3.2
Offices/locations at end June
Capital city and suburbs
11.1
8.3
14.9
5.3
Other
15.0
12.8
27.3
8.6
Total
8.7
6.6
12.8
3.7
Employment at end June
6.8
6.0
15.2
3.3
Income
Property sales and leasing commissions
6.9
6.8
39.8
3.9
Property management commissions
10.0
7.8
28.6
5.8
Other
11.5
9.5
16.9
10.2
Total
6.5
6.1
15.1
3.1
Expenses
Labour costs
6.6
5.9
14.6
3.1
Other
7.4
7.1
17.7
4.0
Total
6.6
6.0
15.2
3.2
Operating profit before tax
13.3
11.5
25.0
7.7
Operating profit margin
11.5
8.9
19.2
6.8
Industry value added
6.6
6.1
15.0
3.1
Businesses with a web presence at end June
1.3
6.2
22.5
3.6
Proportion of businesses advertising 80% or more of their property listings via a web presence
4.4
5.7
np
4.0


29 As an example of the above, an estimate of total income for real estate services businesses in 2002-03 was $7,524.7m and the RSE was estimated to be 3.1%, giving a SE of approximately $233.3m. Therefore, there would be two chances in three that, if all units had been included in the survey, a figure in the range of $7,291.4m to $7,758m would have been obtained, and 19 chances in 20 (i.e. a confidence interval of 95%) that the figure would have been within the range of $7,058.1m to $7,991.3m.


30 The sampling variability for estimates at the state/territory level was higher than for Australian level aggregates. Within states/territories, the sampling variability, and therefore the RSEs of estimates for smaller states and territories are higher than for the larger states. Survey estimates for the smaller states and territories should therefore be viewed with more caution than those for other states. RSEs for New South Wales, Victoria and Queensland are typically 1.4 to 2.8 times greater than the corresponding national figure for employment and financial estimates, and 1.7 to 2.3 times higher for estimates of numbers of businesses. RSEs in the other states and territories are typically 2 to 4 times greater than the corresponding national figure for employment and financial estimates, and 2.4 to 4 times higher for estimates of numbers of businesses (the wide range of values is a result of the different market shares of small and large businesses in each state/territory).


31 Errors other than those due to sampling may occur in any type of collection and are referred to as non-sampling error. For this survey, non-sampling error may result from such things as deficiencies in the register of businesses from which the sample was drawn, non-response, imperfections in reporting and/or errors made in compiling results. The extent to which non-sampling error affects the results of the survey is not precisely quantifiable. Every effort was made to minimise non-sampling error by careful design and testing of the questionnaire, efficient operating procedures and systems and the use of appropriate methodology. Survey estimates subject to a high level of non-sampling error have been suppressed or provided with relevant cautions.


32 Estimates that have an estimated relative standard error between 10% and 25% are annotated with the symbol '^' . These estimates should be used with caution as they are subject to sampling variability too high for some purposes. Estimates with an RSE between 25% and 50% are annotated with the symbol '*', indicating that the estimate should be used with caution as it is subject to sampling variability too high for most practical purposes. Estimates with an RSE greater than 50% are annotated with the symbol '**' indicating that the sampling variability causes the estimates to be considered too unreliable for general use.


33 Where figures have been rounded, discrepancies may occur between the sum of the components and the total. Similar discrepancies may occur between a proportion or ratio, and the ratio of the separate components.



REFERENCE PERIOD

34 Data contained in the tables in this publication related to all real estate services businesses, including real estate agents, in Australia during the year ended June 2003. Financial estimates included the activity of any business that ceased or commenced operations during the year. Counts of businesses and locations included only those that were operating at 30 June 2003. Employment included only those persons working for a real estate services business or agent during the last pay period ending in June 2003.



ACKNOWLEDGMENT

35 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.



DATA AVAILABLE ON REQUEST

36 Inquiries about these statistics and more detailed statistics than those presented in this publication should be made by telephoning the contact shown on the front page.


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