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End notes and definitions This publication presents annual statistics relating to Australian transport activity from a range of sources. Where possible, statistics are presented on a financial year basis (year ended 30 June). Throughout this publication, end notes are numbered consecutively within each chapter. Chapter 2 Transport and the economy Industry statistics provided in this chapter are based on the Australian and New Zealand Standard Industrial Classification (ANZSIC) (ABS 2006a). Table 2.1 Transport and storage gross value added is a measure of the economic production of Australian businesses for which the provision of transportation and storage services is the major activity. Transportation services provided by businesses classified to other industries are not included in these estimates and conversely, non-transportation activities undertaken by businesses classified to the transport and storage industry are included in these estimates. Gross value added is the value of output at basic prices minus the value of intermediate consumption at purchasers’ prices. The term is used to describe gross product by industry and by sector. 1. Changes to current price production measures may be due to either price or volume changes. Chain volume measures are provided to allow analysis of variations in production volumes; however, component chain volume measures do not sum to a total in the way original current price components do. To minimise this lack of additivity on the most recent estimates, the ABS used the reference year (2007-08) as the base year. 2. Gross value added at basic values represents the amounts received by producers, including the value of any subsidies on products, but before any taxes on products. The difference between the sum over all industries of gross value added at basic prices and GDP at market (or purchasers’) prices is the value of taxes less subsidies on products. 3. The transport services and storage industry includes water transport. Table 2.2 Table 2.2 provides estimates for total employment by the transport and storage industries in August each year, including both full-time and part-time employment. 163
BITRE | Australian transport statistics yearbook 2009 4. There are two breaks in the time series for Australian transport and storage industries: • Prior to 1985, employment data were compiled on an Australian Standard Industry Classification (ASIC) 1976 basis, which did not include the other transport, services to transport, storage and transport and storage (not further defined) categories. • From April 1986, the definition of employed persons was changed to include persons who worked without pay between 1 and 14 hours per week in a family business or on a farm (i.e. contributing family workers). Table 2.3 Average weekly earnings statistics provide an estimate of the average weekly income of wage and salary earners in the transport and storage industries. The estimates reflect the overall level of earnings of employees and the changes in the composition of the transport and storage industry workforce (e.g. changes to the proportions of full-time, part-time and casual employees and changes to the proportions of occupations over time). ABS compiles average weekly earnings statistics on a quarterly basis in the Survey of Average Weekly Earnings and on a biannual basis in more detail in the Survey of Employee Earnings and Hours. The Australian transport statistics yearbook 2007 provided estimates of transport industry average weekly earnings based on the quarterly survey. Since the publication of the 2007 Yearbook, ABS has reviewed quality assurance processes for the quarterly survey and as a result no longer provides the industry detail required for the Yearbook. This level of industry detail is now sourced from the biannual Survey of Employees Earnings and Hours. Estimates are compiled from a sample survey of employers and are subject to sampling variability. That is, they may differ from the estimates that would have been produced if the information had been obtained from all employers. A measure of sampling error is calculated (standard error), which indicates the degree to which an estimate may vary from the value which would have been obtained from a census of all employers. There are about two chances in three that a sample estimate differs from the true value by less than one standard error and about nineteen chances in twenty that the difference will be less than two standard errors. An example of the use of a relative standard error (standard error expressed as a percentage of the estimate) is as follows. If the estimate for average earnings is $500 with a relative standard error of 1 per cent then there would be about two chances in three that a full enumeration would have given an estimate in the range $495 to $505 and about nineteen chances in twenty that it would be in the range $490.00 to $510.00. Table 2.3 includes a number of estimates that are subject to high relative standard errors (greater than 25 per cent). 164
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© Commonwealth of Australia 2009 I
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Contents Foreword..................
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Chapter 1 Introduction The goal of
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Chapter 1 | Introduction Impacts of
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Transport and the economy Chapter 2
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Chapter 2 Transport and the economy
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Chapter 2 | Transport and the econo
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Domestic freight transport Chapter
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Aviation Chapter 8
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Shipping Chapter 9
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