Business Indicators, Australia methodology

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Reference period
September 2020
Released
30/11/2020

Explanatory notes

Introduction

1. This publication contains estimates of sales of goods and services, wages and salaries (from the December quarter 2001 issue), company profits, and the book value of inventories for selected industries in Australia. The series have been compiled from data collected by the Australian Bureau of Statistics (ABS) in its Quarterly Business Indicators Survey. The survey, which was fully implemented in the March quarter 2001, collects data from private sector businesses.

Scope and coverage

2. The Quarterly Business Indicators Survey, like most ABS economic collections, takes its frame from Employing and Non-Employing Units on the ABS Business Register which is primarily based on ABN registrations to the Australian Business Register, which is managed by the Australian Taxation Office (ATO). The frame is updated quarterly to take account of new businesses and changes in the characteristics of businesses, such as industry and size.

3. Businesses are removed from the frame when their ABN has been cancelled by the ATO. This may occur when the business requests for its ABN to be cancelled or otherwise does not remit either Income Tax Withholding, or Goods and Services Tax, for the previous five quarters.

4. The statistics in this publication exclude micro non-employing businesses. Though there are a substantial number of these businesses, it is expected that they would not contribute significantly to the estimates, although the impact would vary from industry to industry.

5. Inventories data are not collected from businesses with fewer than 20 employees, as smaller businesses generally have difficulty in providing accurate quarterly information on the level of their inventories. Estimates for these businesses are derived by applying sales information to an estimated inventories to sales ratio.

6. Profits data are not collected from employing businesses with less than 20 employees. Estimates for these businesses are derived by applying sales information to an estimated profits to sales ratio.

7. The industries and the data items collected, classified according to the Australian and New Zealand Standard Industrial Classification (ANZSIC), 2006 (cat. no. 1292.0), included in this publication are:

IndustriesSales of goods and servicesWages and salariesProfitsInventories
Mining (Division B)

Y

Y

Y

Y

Manufacturing (Division C)

Y

Y

Y

Y

Electricity, gas, water and waste services (Division D)    
 Electricity Supply (26)

Y

Y

Y

Y

 Gas Supply (27)

Y

Y

Y

Y

 Water Supply, Sewerage and Drainage Services (28)

Y

Y

Y

N

 Waste Collection, Treatment and Disposal Services (29)

Y

Y

Y

N

Construction (Division E)

Y

Y

Y

N

Wholesale trade (Division F)

Y

Y

Y

Y

Retail trade (Division G)

Y

Y

Y

Y

Accommodation and foods services (Division H)

Y

Y

Y

Y

Transport, postal and warehousing (Division I)

Y

Y

Y

N

Information media and telecommunications (Division J)

Y

Y

Y

N

Finance and insurance services (Division K)    
 Depository Financial Intermediation (622)

N

Y

N

N

 Non-Depository Financing (623)

Y

Y

Y

N

 Financial Asset Investing (624)

Y

Y

Y

N

 Health and General Insurance (632)

N

Y

N

N

 Auxiliary Finance and Insurance Services (64)

Y

Y

Y

N

Rental, hiring and real estate services (Division L)

Y

Y

Y

N

Professional, scientific and technical services (Division M)

Y

Y

Y

N

Administrative and support services (Division N)

Y

Y

Y

N

Education and Training (Division P)

N

Y

N

N

Health Care and Social Assistance (Division Q)

N

Y

N

N

Arts and recreational services (Division R)

Y

Y

Y

N

Other services (Division S)

Y

Y

Y

N

Statistical unit

8. 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.

9. For more significant and diverse businesses where the ABN unit is not suitable for ABS statistical needs, the statistical unit used is the Type of Activity Unit (TAU). A 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 economic activities. When a minimum set of data items is available, a TAU is created which covers all the operations within an industry subdivision (and the TAU is classified to the relevant subdivision of the Australian and New Zealand Standard Industrial Classification (ANZSIC)). Where a business cannot supply adequate data for each industry, a TAU is formed which contains activity in more than one industry subdivision and the TAU is classified to the predominant ANZSIC subdivision. The businesses that contribute to the statistics in this publication are classified:

Classifications

10. 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).

11. 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.

Survey methodology

12. The survey is conducted by web form 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.

13. 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.

Timing of survey cycle

14. Surveys are conducted in respect of each quarter and returns are completed during the eight or nine week period after the end of the quarter to which survey data relate e.g. December quarter survey returns are completed during January and February.

Sample revision

15. The survey frames and samples are revised each quarter to ensure that they remain representative of the survey population. The timing for creating each quarter’s survey frame is consistent with that of other ABS business surveys. This provides for greater consistency when comparing data across surveys.

16. Additionally, with these revisions to the sample, some of the units from the sampled sector are rotated out of the survey and are replaced by others, to spread the reporting workload equitably.

Seasonal adjustment

17. The quarterly original estimates in this publication are affected in varying degrees by seasonal influences. The seasonal adjustment process estimates and removes the effects of normal seasonal variations from the original estimates so that the effects of other influences can be more clearly recognised.

18. In the seasonal adjustment process, account has been taken of normal seasonal factors (e.g. increase in retail sales due to the Christmas period) to produce the seasonally adjusted estimates. Particular care should be taken in interpreting quarterly movements in the seasonally adjusted estimates because seasonal adjustment does not remove the effect of irregular or non-seasonal influences (e.g. change in interest rates) and reflects the sampling and other errors to which the original estimates are subject.

19. In this publication, usually 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 seasonal review of is conducted annually. From March quarter 2020 for selected series, seasonal factors will be calculated using data up to and including December quarter 2019, then projected from March quarter 2020 onwards. This approach, known as the forward factor method, ensures that the seasonal factors are not distorted for industries affected by COVID-19 impacts. Switching to the forward factor method may result in revisions in seasonal data for future quarters when the concurrent seasonal adjustment method is reinstated.

20. The revision properties of the seasonally adjusted and trend estimates can be improved by the use of autoregressive integrated moving average (ARIMA) modelling. ARIMA modelling relies on the characteristics of the series being analysed to project future period data. The projected values are temporary, intermediate values, that are only used internally to improve the estimation of the seasonal factors. The projected data do not affect the original estimates and are discarded at the end of the seasonal adjustment process. The Quarterly Business Indicators Survey uses ARIMA modelling where appropriate for individual time series. The ARIMA model is assessed as part of the annual reanalysis and following the 2019 annual reanalysis, the majority of the Quarterly Business Indicators Survey eligible series use an ARIMA model. For more information on the details of ARIMA modelling see Feature article: Use of ARIMA modelling to reduce revisions in the October 2004 issue of Australian Economic Indicators (cat. no. 1350.0).

Trend estimates

21. The trend series attempts to measure underlying behaviour in business activity. In the short term, this measurement will be significantly affected by changes to regular patterns in spending that will occur during coronavirus (COVID-19), as certain businesses are restricted from trading for example. If the trend estimates in this publication were to be calculated without fully accounting for this irregular event, they would likely provide a misleading view of underlying business activity. It may be some time before the underlying trend in business activity can be accurately estimated. The Business Indicators trend series have therefore been suspended and will be reinstated when more certainty emerges in the underlying trend in business activity.

22. The trend estimates are derived by applying a 7-term Henderson moving average to the seasonally adjusted estimates. The 7-term Henderson moving average is symmetric, but as the end of a time series is approached, asymmetric forms of the moving average are applied. The asymmetric moving average has been tailored to suit the particular characteristics of individual series and enable trend estimates for recent quarters to be produced. Estimates of the trend will be improved at the current end of the time series as additional observations become available. This improvement is due to the combined effect of the concurrent seasonal adjustment methodology and the application of different asymmetric moving averages for the most recent three quarters. As a result of the improvement, revisions to the trend estimates will generally be observed for the most recent three quarters. ABS research shows that about 75% of the total revision to the trend estimate at the current end is due to the use of different asymmetric moving averages when the original estimate is available for the next quarter. There may also be revisions because of changes in the original estimates. As a result of these revisions, the seasonally adjusted and trend estimates will also be revised. For further information, see Information Paper: A Guide to Interpreting Time Series - Monitoring Trends (cat. no. 1349.0).

Chain volume measures

23. The chain volume measures appearing in this publication are annually reweighted chain Laspeyres indexes referenced to current price values in the chosen reference year (currently 2018-19). The current price values may be thought of as being the product of a price and quantity. The value in chain volume terms can be derived by linking together movements in volumes, calculated using the average prices of the previous financial year and applying compound movements to the current price estimates of the reference year. Each year’s quarter-to-quarter growth rates in the chain volume series are based on the prices of the previous financial year, except for those quarters of the latest incomplete year which are based upon the second most recent financial year. Quarterly chain volume estimates are benchmarked to annual chain volume estimates, so that the quarterly estimates for a financial year sum to the corresponding annual estimate.

24. With each release of the September quarter issue of this publication, a new base year is introduced and the reference year is advanced one year to coincide with it. This means that with the release of the September quarter 2020 issue of this publication, the chain volume measures for 2019-20 will have 2018-19 (the previous financial year) as their base year rather than 2017-18, and the reference year is 2018-19. A change in the reference year changes levels but not growth rates for all periods. A change in the base year can result in revisions, small in most cases, to growth rates for the last year.

25. Chain volume measures are not generally additive. In other words, component chain volume measures do not, in general, sum to a total in the way original current price components do. For inventories and sales data, this means that the chain volume estimates for industry groups will not add to the total for Australia. In order to minimise the impact of this, the ABS uses the latest base year as the reference year. By adopting this approach, additivity does exist for the quarters following the reference year and non-additivity is relatively small for the quarters in the reference year and those immediately preceding it. For further information on chain volume measures, refer to the Information Paper: Introduction of Chain Volume Measures in the Australian National Accounts (cat. no. 5248.0).

Comparability with national accounts and other ABS estimates

26. 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 System of National Accounts: Concepts, Sources and Methods (cat. no. 5216.0).

27. However, the statistics in this publication will differ from corresponding statistics in the quarterly Australian National Accounts for the following reasons:

  • The national accounts estimates are benchmarked to annual supply and use tables which are based on annual Economy Wide Survey and taxation data.
  • The national accounts estimates include estimates for businesses classified to industries not in scope of the Quarterly Business Indicators Survey.
  • The national accounts estimates for gross operating surplus of private non-financial corporations are after deduction of the inventory valuation adjustment which measures the portion of income attributable to holding gains or losses resulting from inventory valuation practices.
  • In many cases, the processes used to seasonally adjust national accounts estimates are different to those used for the seasonally adjusted estimates in this publication.
     

28. The estimates for sales of goods and services by Retail trade in this publication will differ from turnover estimates included in Retail Trade, Australia (cat. no. 8501.0). The latter publication presents monthly estimates of the value of turnover of retail businesses, and is sourced from the Retail Business Survey. Estimates for sales of goods and services in this publication exclude the Goods and Services Tax, while turnover collected in the Retail Business Survey includes the Goods and Services Tax. In addition, the Retail Business Survey includes some businesses classified to ANZSIC divisions other than the Retail trade division, and includes retail establishments associated with management units that are not classified to the Retail trade division. The use of different samples in the Retail Business Survey and Quarterly Business Indicators Survey will also contribute to differences.

Australian International Financial Reporting Standards

29. The new Australian equivalents to International Financial Reporting Standards (AIFRS) began to be 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 impacted upon 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.

30. After monitoring data items since March quarter 2005 it has been concluded that most affected published data series have been impacted by data breaks, but that the magnitude of such breaks cannot be determined without imposing disproportionate load upon data providers to ABS surveys and other administratively collected data. ABS will continue to monitor developments and report any significant identified impacts or changes in methodology as a result of AIFRS.

General acknowledgement

31. 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.

32. The results of these statistics are based, in part, on ABR data supplied by the Registrar to the ABS under A New Tax System (Australian Business Number) Act 1999 and tax data supplied by the ATO to the ABS under the Taxation Administration Act 1953. These require that such data is only used for the purpose of carrying out functions of the ABS. No individual information collected under the Census and Statistics Act 1905 is provided back to the Registrar or 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 ABR or ATO’s core operational requirements. Legislative requirements to ensure privacy and secrecy of this data have been followed. Only people authorised under the Australian Bureau of Statistics Act 1975 have been allowed to view data about any particular firm in conducting these analyses. In accordance with the Census and Statistics Act 1905, results have been confidentialised used to ensure that they are not likely to enable identification of a particular person or organisation.

Data available on request

34. If the information you require is not available as a standard product or service, then ABS Consultancy Services can help you with customised services to suit your needs. Inquiries should be made to the National Information and Referral Service on 1300 135 070. The ABS Privacy Policy outlines how the ABS will handle any personal information that you provide to us.

Technical note - data quality

Reliability of the estimates

1. Estimates provided in this publication are subject to non-sampling and sampling error. The most common way of quantifying sampling error is to calculate the standard error for the published estimate. This is discussed in paragraphs 6 to 9 below.

2. 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. These annotations have only been applied to estimates from the March quarter 2009.

3. Non-sampling errors may arise as a result of errors in the reporting, recording or processing of the data and can occur even if there is a complete enumeration of the population. These errors can be introduced through inadequacies in the questionnaire, treatment of non-response, inaccurate reporting by respondents, errors in the application of survey procedures, incorrect recording of answers, and errors in data entry and processing. Inventories data for businesses with less than 20 employees are derived and could therefore be subject to error (although this error is estimated to be less than the sampling and non-sampling error resulting from directly collecting these data).

4. Estimates for the latest quarter presented in this publication are considered preliminary and revised estimates will be released with the next issue. As discussed in paragraphs 20 and 21 of the Explanatory Notes, seasonally adjusted and trend estimates are also subject to revision as more data are revised and more data becomes available.

5. It is difficult to measure the size of non-sampling errors. However, every effort is made in the design of the survey and development of survey procedures to minimise their effects.

Standard errors

6. The estimates in this publication are based on a sample drawn from units in the surveyed population. Because the entire population is not surveyed, the published estimates are subject to sampling error. In calculating the standard error for the statistics in this publication, the ABS would prefer to produce a smoothed standard error for the major published aggregates as this approach takes account of the variability in standard error estimates for quarterly statistics. This estimated standard error would then be used as an indication of the sampling error for the current published series. Standard errors are based upon the data in the currently published quarter.

Level estimates

7. To illustrate, let us say that the published level estimate for company profits before income tax is $8,900m and the calculated standard error in this case is $200m. The standard error is then used to interpret the level estimate of $8,900m. For instance, the standard error of $200m indicates that:

  • There are approximately two chances in three that the real value falls within the range $8,700m to $9,100m ($8,900m ± $200m).
  • There are approximately nineteen chances in twenty that the real value falls within the ranges $8,500m and $9,300m ($8,900m ± $400m).
  • The true value in this case is the result we would obtain if we could enumerate the total population.
     

8. The following table shows the standard errors for national and state quarterly level estimates based upon the data in the current quarter.

 Company gross operating profitsCompany profits before income tax Sales of goods and services Inventories Wages and salaries 
$m$m$m$m$m
Mining

175

210

431

428

83

Manufacturing

363

363

1 583

1 035

278

Electricity, gas, water and waste services

127

61

260

16

39

Construction

438

360

3 614

na

735

Wholesale trade

286

259

2 320

1 248

267

Retail trade

598

492

8 416

2 150

924

Accommodation and food services

228

193

749

81

234

Transport, postal and warehousing

176

142

956

na

203

Information media and telecommunications

119

66

478

na

118

Financial and insurance services

222

192

565

na

254

Rental, hiring and real estate services

240

260

934

na

199

Professional, scientific and technical services

829

778

2 458

na

792

Administrative and support services

218

220

1 044

na

503

Education and Training

na

na

na

na

178

Health Care and Social Assistance

na

na

na

na

487

Arts and recreation services

33

35

190

na

54

Other services

101

97

652

na

249

Total

1 459

1 343

10 642

2 583

1 756

New South Wales

na

na

5 091

na

1 035

Victoria

na

na

3 967

na

832

Queensland

na

na

2 664

na

639

South Australia

na

na

1 357

na

281

Western Australia

na

na

2 440

na

470

Tasmania

na

na

610

na

147

Northern Territory

na

na

411

na

99

Australian Capital Territory

na

na

570

na

202

Australia

1 459

1 343

10 642

2 583

1 756

*na - not available
 

Movement estimates

9. The following example illustrates how to use the standard error to interpret a movement estimate. Let us say that one quarter the published level estimate for inventories is $90,000m, and the next quarter the published level estimate is $92,000m. In this example the calculated standard error for the movement estimate is $850m. The standard error is then used to interpret the published movement estimate of +$2,000m. For instance, the standard error of $850m indicates that:

  • There are approximately two chances in three that the real movement over the two quarter period falls within the range $1,150m to $2,850m ($2,000m ± $850m).
  • There are approximately nineteen chances in twenty that the real movement falls within the range $300m to $3,700m ($2,000m ± $1,700m).
     

10. The following table shows the standard errors for national quarterly movement estimates based upon the data in the current quarter.

 Company gross operating profitsCompany profits before income taxSales of goods and servicesInventoriesWages and salaries
$m$m$m$m$m
Mining

179

355

283

118

42

Manufacturing

214

229

629

422

102

Electricity, gas, water and waste services

98

52

130

34

15

Construction

335

327

2 607

na

409

Wholesale trade

379

341

2 241

1 407

199

Retail trade

373

326

4 367

937

451

Accommodation and food services

200

195

563

64

135

Transport, postal and warehousing

128

124

523

na

71

Information media and telecommunications

72

125

217

na

74

Financial and insurance services

168

267

399

na

298

Rental, hiring and real estate services

332

1 223

862

na

118

Professional, scientific and technical services

589

675

1 760

na

431

Administrative and support services

153

143

496

na

277

Education and Training

na

na

na

na

56

Health Care and Social Assistance

na

na

na

na

221

Arts and recreation services

29

28

120

na

20

Other services

126

168

429

na

161

Total

953

1 403

5 492

1 593

897

*na - not available
 

Adjustments to estimates

11. Adjustments are included in the estimates to allow for lags in processing new businesses to the Australian Business Register. The following table shows the adjustments made to the current quarter's original estimates in current price terms:

 September Quarter 2020
%
Company gross operating profits

1.0

Company profits before income tax

1.1

Sales of goods and services

1.4

Inventories

0.7

Wages and salaries

1.8

12. As previously discussed, the estimates presented in this publication are partial indicators used in the compilation of the quarterly national accounts. The movements in the Business Indicators estimates will not always be the same as the movements in the comparable national accounts series but they should be reasonably consistent after taking account of differences in concepts, scope and methodology described in paragraph 26 of the Explanatory Notes. If after taking account of these differences, there are concerns about data quality and coherence, the national accounts area provides feedback to the survey area. This process may result in adjustments being applied to the Business Indicators estimates prior to release in this publication. The objective use of the national accounts framework to provide data coherence across all ABS economic statistics ensures that a common understanding of recent economic developments is presented.

Sales of goods and services time series

13. This publication includes estimates of sales of goods and services, by industry, and by state/territory, but estimates of national total sales of goods and services are not published. Total sales of goods and services is not an adequate indicator of the performance of the Australian economy as it includes duplication; for example, goods sold by retailers may also be included in goods sold by wholesalers in the same period. However this publication does include total sales of goods and services, by state/territory, as it is considered that there may be interest in this item as a measure of relative activity. This data should be used with caution given the potential for the data to include duplication across industries.

Profits time series

14. Estimates of gross operating profits are compiled by deducting estimates of items that do not involve the production of goods and services from estimates of profits before income tax. These items include: depreciation, net interest paid, net foreign exchange gains/losses and unrealised gains/losses on the revaluation of assets. These items are considered out of scope of the national accounts item gross operating surplus.

15. As indicated in paragraph 6 of the Explanatory Notes, income items (other than sales of goods and services), expense items (other than labour costs) and profits are only collected for businesses employing 20 or more persons in the Quarterly Business Indicators Survey (QBIS).

Wages time series

16. The introduction of the Quarterly Business Indicators Survey from March quarter 2001 included the collection of private sector wages and salaries by industry.

17. From September quarter 2020 onwards, direct collection of wages for a subset of units in ANZSIC Subdivision 62 (Finance) from the ABS Quarterly Business Indicators survey (QBIS) has ceased. Data is now being collected on behalf of the ABS by APRA as part of the Economic Financial Statistics (EFS) collection. This change has helped to reduce respondent burden for entities that are also required to report to APRA and has streamlined reporting for the Finance industry.

Privatised marketing authorities

18. Three significant privatised marketing authorities came into scope of the estimates in this publication from the September quarter 1999. The introduction of these units resulted in a break in series for estimates for inventories and sales of goods and services between the June and September quarters 1999 and comparison of the series over time should be undertaken with care.

19. The methodology used by the ABS has ensured that the trend series has not been distorted by the introduction of these units, although there is a trend break evident between the June and September quarters 1999. For this reason, the trend estimates of movement have not been released for the Wholesale trade inventories, Total inventories and Wholesale trade sales series in respect of the September quarter 1999.

Privatisation of Telstra corporation

20. Telstra Corporation was effectively privatised on 20 November 2006. For the purposes of ABS statistics this change from public sector to private sector was effective from March quarter 2007. This has impacted on some data series presented in this publication, particularly the March quarter 2007 movements. The data items affected are sales of goods and services, wages and salaries, company gross operating profits and the related profits series in the Manufacturing and Information media and telecommunications industry. The introduction of Telstra has resulted in a break in series for some series in this publication between the December quarter 2006 and March quarter 2007. The movement trend estimates, in percentage terms, have therefore not been released for the March quarter 2007.

Trend break

21. In the June quarter 2010 release, trend break corrections were applied to Mining and Total company gross operating profits, company profits before income tax, business gross operating profits and Mining sales. These corrections were necessary due to very large mining commodity contract price rises that occurred on 1st April 2010. Trend break corrections were also applied to Manufacturing and Western Australian Sales of goods and services due to the movement of a major manufacturing business from the private to public sector. When a trend break occurs in a time series it is important that the trend movement estimate be treated with caution, hence the suppression of the quarterly and annual movement estimates for June 2010.

22. In the December quarter 2017 release, trend break corrections were applied to the December quarter 2016 estimates for Mining and Total company gross operating profits, company profits before income tax and business gross operating profits. These corrections were due to a large increase in the price of mining commodities.

23. In the March quarter 2020, the trend estimates were suspended due to the impacts of coronavirus (COVID-19). The trend series attempts to measure underlying behaviour in business activity. In the short term, this measurement will be significantly affected by changes to regular patterns in spending that will occur during this time, as certain businesses are restricted from trading for example. If the trend estimates in this publication were to be calculated without fully accounting for this irregular event, they would likely provide a misleading view of underlying business activity.

Glossary

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Quality declaration

Institutional environment

Relevance

Timeliness

Accuracy

Coherence

Interpretability

Accessibility

Abbreviations

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