Australian Bureau of Statistics
6302.0 - Average Weekly Earnings, Australia, May 2010 Quality Declaration
Previous ISSUE Released at 11:30 AM (CANBERRA TIME) 19/08/2010
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QUALITY DECLARATION - SUMMARY
Each of the above series are available for males, females and persons. Estimates are available by state/territory, industry and sector. Seasonally adjusted and trend estimates are produced for key series.
The AWE reference period is the week ending the third Friday of the middle month of the quarter, i.e. February, May, August and November. Due to the wide variety of pay arrangements and systems which exist, most employers are not able to report for this exact period. Therefore employers are requested to report for the last pay period ending on or before this date, and where a pay period is fortnightly or monthly (etc.), the employer is requested to report only one week's proportion.
Survey estimates are released approximately three months after the reference period.
Information for the AWE survey is collected via mail questionnaires which are sent to approximately 5,200 employers. The employer sample selected is stratified by state, sector, industry division and employment size to ensure adequate state, sector and industry representation. A minimum response rate of 95% is achieved for the survey as a whole and for each state, sector and industry.
There are two principal sources of error in surveys, sampling error and non-sampling error. Non-sampling error arises from inaccuracies in collecting, recording and processing the data. Every effort is made to minimise non-sampling error by the careful design and testing of questionnaires, detailed checking of the reported data and direct follow up with providers where significant errors are detected.
Sampling error occurs when a sample or subset of the population is surveyed rather than the entire population. One measure of the likely difference resulting from not including all of the population in the survey is given by the standard error. There are about two chances in three that a sample estimate will differ by less than one standard error from the figure that would have been obtained if the whole population had been included in the survey.
AWE estimates are seasonally adjusted to remove the estimated effects of normal seasonal variation from the series. The seasonally adjusted series are further smoothed to reduce the impact of irregular or non-seasonal factors. Smoothed seasonally adjusted series are called trend estimates. As data becomes available for the next quarter there are usually revisions in the trend estimates for the previous quarters.
The ABS considers that trend estimates provide a more reliable guide to the underlying direction of the original estimates and are more suitable than either the seasonally adjusted or original estimates for most business decisions and policy advice.
The current AWE series, based on information obtained from a sample survey of employers, was introduced in August 1981. Prior to August 1981 the AWE series was based primarily on information from payroll tax returns.
Data collection methodology have been improved over time, including survey definitions and sample design. Seasonally adjusted estimates were introduced in 1983 and trend estimates were introduced in 1993.
The AWE survey uses Australian standard classifications to facilitate data comparability across statistical series. From the August 2009 issue of the AWE publication, data is presented using the 2006 edition of the Australian and New Zealand Standard Industrial Classification (ANZSIC). The 2006 edition of ANZSIC was developed to provide a more contemporary industrial classification system, taking into account issues such as changes in the structure and composition of the economy, changing user demands and compatibility with major international classification standards.
Industry data from August 2009 is only available on an ANZSIC 2006 basis. Published industry series have been backcast and data from August 1994 to May 2009 are available on the website on the basis of both the 2006 edition of ANZSIC, and the previous 1993 edition.
The ABS conducts a number of sample surveys of businesses which collect information about wages and salaries. One of these, the Wage Price Index, is designed to measure the change over time in the price of labour. Period-to-period movements for the AWE series are not comparable with those for the Wage Price Index. It is important to note that the two series have different purposes and concepts and use different sample selection and estimation methodologies.
Average weekly earnings statistics represent average gross earnings of employees and do not relate to average award rates nor to the earnings of the 'average person'. Changes in the averages may be affected not only by changes in the level of earnings of employees, but also by changes in the overall composition of the wage and salary earner segment of the labour force.
There are several factors which can contribute to compositional changes, including variations over time in the proportions of full-time, part-time, casual and junior employees; variations in the occupational distribution within and across industries; variations in the distribution of employment between industries; and variations in the proportion of male and female employees. Such effects may apply differently within different states and territories, and over time.
Average Weekly Earnings, Australia (cat. no. 6302.0) contains Explanatory Notes, a Glossary and a Technical Note which provide further information about data sources, terminology and other technical aspects of the series.
Average Weekly Earnings, Australia (cat. no. 6302.0) is available from the ABS website as an electronic version of the summary data and Explanatory Notes, as a more detailed PDF version and as downloadable Excel data files for time series data.
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.
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This page last updated 23 February 2011