This document was added 02/06/2020.
SURVEY OF EMPLOYEE EARNINGS AND HOURS
The Survey of Employee Earnings and Hours (EEH) has been conducted since 1974. It is currently conducted biennially. The survey produces estimates of average weekly earnings, and the distribution of hours paid for and weekly earnings of employees. It also produces estimates of the proportion, and average weekly total cash earnings, of employees whose pay is set by award only, by collective agreement and by registered or unregistered individual arrangement. Estimates from the survey are used by Commonwealth and State government departments, employer associations, trade unions and academic researchers. They are used in developing and reviewing wages and labour market policies, in the wage negotiation process, and in research into various aspects of the labour market. For more information on understanding EEH statistics see the feature article in 'A Guide to Understanding Employee Earning and Hours Statistics' in Employee Earnings and Hours, Australian, May 2018 (cat. no. 6306.0).
Estimates are published in Employee Earnings and Hours, Australia (cat. no. 6306.0). More detailed estimates may also be available on request. Until 2008, preliminary estimates were published in Employee Earnings and Hours, Australia, Preliminary (cat. no. 6305.0 and cat. no. 6305.0.55.001).
A number of series are compiled from the survey based on the distribution and composition of earnings and hours paid for, and the methods by which pay is set. These include:
Earnings of employees:
- average weekly total cash earnings, and average weekly ordinary time cash earnings; and
- for non-managerial employees: average hourly total cash earnings, and average hourly ordinary time cash earnings.
Hours paid for:
- average weekly total hours paid for, and average weekly ordinary time hours paid for.
How employees' pay is set (collected for the first time in 2000):
- the number and cash earnings of employees paid by – award only, collective agreement (registered or unregistered), individual arrangement (registered or unregistered), and owner managers of incorporated enterprises.
Data can also be cross-classified by: state/territory; sector (public, private); rate of pay (adult, junior, apprentice/trainee or disability); full-time/part-time status; sex; age category; managerial/non-managerial status; type of employee (permanent or fixed-term, or casual); occupation; industry; and employer size.
Data are compiled according to the concepts and definitions outlined in the Employment, Employee Remuneration and Workplace Relations chapters.
For the first-stage sample of employing organisations, the standard scope exclusions for ABS labour-related business surveys (outlined in the Methods used in ABS Business Surveys chapter) apply to this survey. The scope of the second-stage sample is restricted to civilian employees based in Australia, who received payments for the survey reference period.
The following persons are not regarded as employees of the sampled businesses for the purposes of this survey, and are excluded:
- employees paid solely under the Australian Government's Paid Parental Leave Scheme;
- employees who did not receive pay for the reference period (e.g. casuals who did not work during the reference period, employees on leave without pay, persons on unpaid leave);
- non-salaried directors;
- working proprietors and partners of unincorporated businesses;
- self-employed persons such as subcontractors, owner/drivers or consultants;
- persons paid by commission only;
- employees based outside Australia; and
- employees on workers’ compensation who are not paid through the payroll of the business.
Detailed information is obtained about a sample of employees from each selected business, using online electronic collection. Prior to the May 2012 survey, information was obtained using a mail-out/mail-back collection methodology.
The survey reference period is the last pay period ending on or before the third Friday in May of the survey year.
Businesses that do not submit their data within a reasonable period of time after the survey reference date are followed up by mail and/or phone.
The survey uses a two-stage sample selection approach. The first stage involves selecting a probability sample of employer units from the ABS Business Register. The statistical unit for the first stage comprises all activities of an employer in a particular state or territory, based on the Australian Business Number (ABN) unit or Type of Activity Unit (TAU). Each statistical unit is classified to an industry which reflects the predominant activity of the business. The collection and reporting units used in the survey usually correspond to the statistical unit. However, where the ABN/TAU unit is unable to provide information required for the survey, it may be split into a number of 'reporting units'. For further information on statistical units used in ABS business surveys, refer to the Methods Used in ABS Business Surveys chapter.
In the second stage, businesses selected in the first stage are asked to select a random sample of employees from their payrolls using instructions provided by the ABS.
First stage sample selection
A probability sample of employing businesses (ABN/TAU units) is drawn from the ABS Business Register using the process outlined in the Methods Used in ABS Business Surveys chapter. Variables used to stratify the survey frame at stage one of the sample selection are:
- state or territory;
- sector – the public and private sectors are stratified separately;
- industry – industry stratification is based on Australian and New Zealand Standard Industrial Classification (ANZSIC) division, within the public sector ANZSIC divisions are aggregated to form four broad industry groupings; and
- employment size – the ranges used vary between states and territories, sectors and industries.
Strata on the survey frame that are completely enumerated include those containing selection units with benchmark employment greater than a set cut off (this cut off will vary for different states/territories), and strata with a very small number of selection units in the population.
In addition to constraints outlined in the Methods Used in ABS Business Surveys chapter, sample selection is constrained by the need to minimise overlap with the biannual Survey of Average Weekly Earnings (AWE), for businesses with less than 20 employees.
Second stage sample selection
Second-stage sampling units (employees) are selected using systematic sampling within selected first-stage units. A random start and a skip are provided to each selected business for use in selecting the second-stage sample from its payroll(s). Businesses are not required to order their payroll in any particular way when selecting the sample.
Sample size and allocation
For the first-stage sample, approximately 8,200 employer (selection) units are selected to yield a live sample of approximately 7,500 units.
For the second-stage sample, approximately 53,000 employees contribute to the estimates. The maximum number of employees for any reporting unit is 40.
The ABS reselects the sample for the EEH each time it is conducted. At the same time, the overall design of the sample is examined to ensure that it remains efficient.
The estimation process occurs in two stages. In the first stage, number raised estimation is used to estimate the number of employees in each business. In the second stage, number raised estimation is again used to estimate the total number of businesses, and therefore employees, in the target population.
In the sampled strata, the Live Respondent Mean method is used to impute for non-responding businesses. In the completely enumerated strata, a ratio imputation model is used.
Survey outliers are handled using the 'surprise outlier' technique.
Business Provisions were introduced in the 2000 survey, whereby adjustments are made to survey estimates to allow for births and deaths of businesses that have occurred up to the end of the survey reference period, but which are not reflected on the survey frame.
For further information on estimation methods used in ABS business surveys, refer to the Methods Used in ABS Business Surveys chapter.
TIME SERIES ESTIMATES
Seasonally adjusted and trend estimates are not produced for this survey.
RELIABILITY OF THE ESTIMATES
Estimates from the survey are subject to both sampling and non-sampling errors. The standard errors of survey estimates are published in Employee Earnings and Hours, Australia (cat. no. 6306.0).
The Bootstrap method is used to calculate estimates of variance for this survey. The Bootstrap is a variance estimation method which relies on the use of replicate samples, essentially sampling from within the main sample. Each of these replicate samples is then used to calculate a replicate estimate and the variation in these replicate estimates is used to calculate the variance of a particular estimate.
COMPARABILITY WITH OTHER SURVEYS
The ABS produces earnings statistics from a number of different sources, including both household and employer surveys. The four main employer-based surveys that provide earnings statistics are the EEH survey, the Average Weekly Earnings (AWE) survey, the Survey of Employment and Earnings (SEE), and the Wage Price Index (WPI). The main household-based surveys providing earnings statistics are the Characteristics of Employment Survey (COE) and the Survey of Income and Housing (SIH).
Caution should be exercised when comparing estimates of earnings in the EEH release with estimates of earnings included in the biannual Average Weekly Earnings, Australia (cat. no. 6302.0) and the annual Characteristics of Employment (cat. no. 6333.0) publications. There are important differences in the scope, coverage and methodology of these surveys, which can result in different estimates of earnings from each survey.
The main purposes of the employer surveys are as follows: the EEH survey provides statistics on the composition and distribution of employee earnings, hours paid for and methods used to set employees' pay in Australia; the AWE survey collects payroll information from employers who provide details of their employees' total gross earnings and their total number of employees; the SEE is designed to measure the number of wage and salary earners and their gross earnings for the public sector; and the WPI measures the change over time in the price of wages and salaries. In contrast, COE compiles data from a household-based survey where respondents are either the employed person or another adult member of their household who responds on their behalf. Where earnings are not known exactly, an estimate is reported.
In the EEH, salary sacrificed amounts have been included in the estimates of mean and median weekly earnings from 2006 onwards, whereas the earnings series from AWE historically excluded amounts salary sacrificed. However, since the May 2011 AWE publication the Average Weekly Cash Earnings (AWCE) series has also been released. This series is inclusive of salary sacrificed amounts. The key earnings series from AWE have continued to be published on the old conceptual basis (i.e. exclusive of amounts salary sacrificed) to maintain long term comparability of the key series. From 2007, COE (and its predecessor) have included amounts salary sacrificed in the estimates of mean and median weekly earnings.
There are also scope differences between both household and employer surveys. For example, AWE and EEH exclude employees in the Agriculture, Forestry and Fishing industry, and also employees of private households, whereas these employees are included in the COE survey.
For further information on a number of earnings series available from ABS sources, and the differences between source surveys, please refer to the feature article 'Understanding Earnings in Australia Using ABS Statistics' published in Australian Labour Market Statistics, July 2014 (cat. no. 6105.0).
Employee Earnings and Hours and Average Weekly Earnings
The AWE survey provides estimates of the level of average earnings at a point in time. The six-monthly estimates are used to provide a level benchmark against which a specific amount can be compared, e.g. what an individual earns compared to the average. Average earnings estimates are available by state/territory, sex, industry and sector.
Compared with the EEH survey, the AWE survey provides more frequent but less detailed information on the composition and distribution of employee earnings. Unlike EEH, AWE data are collected at the business level: the AWE survey collects total/aggregate payroll data, while the EEH survey collects detailed information about a sample of employees within the business.
Although there are differences in concepts, survey design and methodology between the surveys, there is sufficient overlap such that EEH survey data can be considered a complement to AWE survey estimates (AWE is released earlier). When comparing EEH data with AWE data, ensure the Average Weekly Cash Earnings series is used as these series are most closely aligned.
For more information on understanding EEH statistics, see the feature article in 'A Guide to Understanding Employee Earning and Hours Statistics' in Employee Earnings and Hours, Australia, May 2018 (cat. no. 6306.0).
DATA COMPARABILITY OVER TIME
Caution should be exercised when comparing data between different years as EEH is not designed as a time series. Changes to survey methods, survey concepts, data item definitions, frequency of collection, and methods of time series analysis, are made as infrequently as possible. Key changes have included:
- An update to the conceptual categorisation of methods of setting pay in 2016 was further refined in 2018, to ensure a contemporary reflection of pay-setting arrangements; the focus being those arrangements which were on the cusp of being considered Award only or a Collective agreement.
- As a result of this refinement, a sub-set, but not all, of employees who were considered to be paid on an Award only basis in 2016 were considered to have been paid according to a Collective agreement under the 2018 treatment.
- To support comparative analysis over time for methods of setting pay, the ABS has published some high level indicative comparable estimates in the feature article 'A Guide to Understanding Employee Earning and Hours Statistics' in Employee Earnings and Hours, Australia, May 2018 (cat. no. 6306.0).
- Method of setting pay categories ‘Award’ and ‘Collective agreement’ were combined for all employees.
- Age category was modified for select publication outputs only.
- Overtime earnings and hours paid for data were no longer included in publication outputs.
- Standard errors were included for percentile tables in data cubes 3 and 8.
- The item ‘Adult/Junior employee’ was modified, and further categories included.
- The actual age of employees was collected for the first time. Previously the information on age was collected only as 'under 18 years','18 years and under 21 years' and '21 years and over'.
- Hours paid for data were requested for all employees, including Upper level managers and Owner manager of incorporated enterprises. Previously hours paid for data was collected only for non-managerial employees. Hours paid for could not be provided for Managerial employees where there was no relationship between earnings and hours. As a result, estimates of hours paid for and hourly cash earnings have only been produced for employees with a link between earnings and hours.
- ‘Rate of pay’ was collected in four categories: Adult; Junior; Apprentice or trainee; and Disability. The disability rate of pay category does not measure all employees with a disability, only those paid at a specified disability rate. The disability rate of pay is based on the definition in the Fair Work Commission's National Minimum Wage Order.
- In prior EEH surveys, separate data were produced for Adult and Junior employees. Adult employees were defined as employees who are 21 years of age or over, and employees under 21 years old who are paid at the full adult rate for their occupation. Adult employees included employees aged 21 years of age or over on Apprentice or trainee and Disability rates of pay.
- The category ‘employees paid at the adult rate of pay’ only includes those employees paid the full adult rate of pay, regardless of age. All other rates of pay are excluded.
- Results for May 2014 have been produced on a new conceptual basis: full-time non-managerial employees paid at the adult rate of pay has been used instead of full-time non-managerial adult employees.
- Introduction of online electronic collection as an option to the mail-out/mail-back (paper) questionnaire.
- 'Working proprietor of an incorporated business' sub-category of the methods of setting pay data item changed to 'Owner manager of incorporated enterprise'.
- Survey run in May, and the reference period for the survey is May 2010.
- Confidentialised Unit Record File (CURF) (cat. no. 6306.0.55.001) produced.
- Release of additional data cubes.
- Information about the proportions of employees covered by national and state jurisdictions for pay setting are no longer published, but may be available in the Confidentialised Unit Record File (CURF).
- From 2010, additional estimates of numbers of employees published.
- Industry data classified according to Australian and New Zealand Standard Industrial Classification, 2006 (cat. no. 1292.0). Data classified to Australian and New Zealand Standard Industrial Classification, 1993 (cat. no. 1292.0) available on request.
- Data on methods of setting pay presented on new jurisdictional basis to reflect the new workplace relations environment.
- Survey run in August, and the reference period for the survey is August 2008.
- Preliminary estimates published in Employee Earnings and Hours, Preliminary, August 2008 (cat. no. 6305.0.55.001).
- Preliminary publication Employee Earnings and Hours, Australia, Preliminary (cat. no. 6305.0.55.001) was not released for 2006.
- Estimates of cash earnings now include amounts salary sacrificed (see Information Paper: Changes to ABS Measures of Employee Remuneration (cat. no. 6313.0)). Estimates of cash earnings from May 2002 and May 2004 surveys reproduced on the new conceptual basis.
- Changes made to employee type question ('permanent' and 'fixed-term' separately collected).
- Occupation data are now classified according to Australian and New Zealand Standard Classification of Occupations (ANZSCO), First Edition (cat. no. 1220.0). Data classified to Australian Standard Classification of Occupations (ASCO), Second Edition (cat. no. 1220.0) are available on request.
- Confidentialised Unit Record File (CURF) produced (cat. no. 6306.0.55.001).
- Introduction of new statistical units model.
- Changes made to employee type question (combined 'permanent' and 'fixed-term').
- Base pay, taxable allowances and payment by measured result no longer collected separately.
- Introduction of grouped Jack-knife method for calculation of variance estimates.
- Working proprietors of incorporated businesses separated from other employees with individual arrangements in method of setting pay classification.
- How employees' pay is set questions redeveloped.
- Changes made to employee type question (replaced 'temporary' with 'fixed-term').
- Question introduced on amounts salary sacrificed.
- Sample re-designed to minimise overlap with the AWE survey for businesses with less than 20 employees.
- Ceased collection of 'Supervisor' in status of employee.
- Questions introduced on how employees' pay is set.
- Live Respondent Mean imputation method introduced for the sampled strata, and ratio imputation method introduced for the completely enumerated strata.
- Business Provision adjustments introduced.
- Second-stage sample reduced significantly.
- 'Over award and over agreement pay' not collected separately but included in 'Base pay'.
- Ceased collection of 'Apprentice/trainee' in status of employee.
- Survey frequency changed to biennial.
- Sample redesign on an ANZSIC basis.
- Payments from workplace and enterprise agreements included in 'Base pay' rather than 'Over award and over agreement pay'.
- Survey frequency changed to annual.
- First-stage sample frame changed to ABS Business Register.
- Survey frequency changed to biennial.
- Annual survey commenced; first-stage sample frame comprised lists of employers subject to payroll tax and lists of government departments and hospitals.