The following sections have been updated in this release:
- How data are processed: text updates in Aggregate adjustments and Suppression
- Data variability and revisions: graph removed in Revisions in sub-populations
The following sections have been updated in this release:
The Australian Taxation Office (ATO) receives payroll information from employers with Single Touch Payroll (STP) enabled payroll and accounting software each time the employer runs its payroll. The ATO provides selected employer and job level data items from the STP system to the ABS to produce statistics.
The scope and coverage of these estimates are defined and constrained by the characteristics of the data sources from which these estimates are produced. As such, users should note that not all jobs and wages in the Australian labour market are captured within these estimates.
Payroll jobs as reported to the ATO through STP are in scope of these estimates. All payroll jobholders regardless of age or Australian residency status are included. Persons reported via STP must hold either a Tax File Number (TFN) or an Australian Business Number (ABN).
A payroll job is a relationship between an employee and their employing enterprise, where the employee is paid in the reference week through STP-enabled payroll or accounting software and reported to the ATO. Where an employee is paid other than weekly, the established payment pattern is used to include payroll jobs paid in weeks outside the reference week.
Payroll jobs reported via STP exclude owner managers of unincorporated enterprises (OMUEs), which are more prevalent in the Construction and Agriculture, forestry and fishing industries.
Employers with 20 or more employees (large employers) commenced transition to STP reporting on 1 July 2018. Employers with less than 20 employees (small employers) began transitioning to STP on 1 July 2019. Any reporting concessions that were made available for small employers ended on 30 June 2021. At the time of this release, almost all large employers and eligible small employers are reporting through STP.
In addition, payroll jobs reported in the Defence Industry (ANZSIC Class 7600) are excluded from these estimates by the ABS to better align with other Labour estimates.
The STP reported wages associated with each payroll job are in scope of these estimates. Wages are gross amounts, prior to taxation and deductions and include:
The total wages concept broadly aligns with the Australian System of National Accounts (ASNA) definition of wages and salaries, with the exception of payments to employee's superannuation and severance and termination payments which are excluded.
More specifically, the following STP reported income items are included in the production of wages estimates;
The STP data are enhanced through combining other administrative data held by the ABS (also sourced from the Australian taxation system).
Sex, age and residential geography variables are primarily sourced from Client Register data (supplied by ATO to the ABS as part of the transfer of Personal Income Tax data). Sex can only be sourced from Client Register data. When age and residential geography are not available from Client Register data, they are sourced from STP data. The ABS receives annual snapshots of de-identified Client Register data from the ATO, for use in the production of statistics.
Industry of activity, sector and employment size variables of the employing business are sourced from the ABS Business Register (ABSBR).
Variables from the Client Register and the ABSBR are updated periodically on different timings. See the Updating characteristic variables section of How data are processed for more information.
To produce estimates from STP data, several processes and treatments are applied.
The STP data are reported on a cash basis (the time when the payment was made) rather than an accrual basis (the time when the payment was earned). Production of real time estimates require the conversion of STP data from a cash basis to an accrual basis. This is done through a “calendarisation” method. This method breaks down all records to a common period (daily), which allows the data to be aggregated and analysed for any longer period (e.g. weekly).
The calendarisation method includes the following steps:
Towards the end of the financial year, unadjusted STP data includes higher than usual week-to-week changes in total wages paid. Some employers report lumped fringe benefits tax (FBT) payment amounts for eligible employees at the end of the financial year. This is most evident in the Health care and social assistance industry. To reduce the reporting variability introduced by these payments, the ABS has determined and applied an adjustment factor to accrue reported FBT amounts across the relevant financial year wages series. It is applied to all records which include reportable FBT amounts, not just those in the Health care and social assistance industry.
This adjustment factor has been applied for the 2020-21 financial year, but will be revised each year using business reported data to ensure it remains current. This treatment enhances the existing calendarisation methodology and is consistent with the definition of wages and salaries used in the Australian System of National Accounts. More information about employer reporting of FBT is available from the ATO website.
This adjustment methodology is not applicable to other extraordinary payments (such as bonuses) where they are included with the wages data in the period they are paid. Unlike reportable FBT amounts, bonuses are not currently readily distinguishable from the wages component of the STP job level dataset and can be paid at any time.
In addition to cash reporting, extracted STP payment data for a specific week cycle may be incomplete due to:
To produce reliable weekly statistics, an imputation method is applied to account for incompleteness. Imputation includes the following considerations:
STP reported data can take several months to be fully complete at a specific reference date, due to infrequent and quarterly STP reporters. From the 26 August release, the lag between the reference and release date extended to around 26 days. The additional week of lag allows for the receipt of more complete data (around 90%), resulting in an imputation rate of around 10% in the most recent week's data.
From the 7 October 2021 release, the imputation retention threshold was updated from eight pay periods to 16 weeks for all jobs. As more complete data is received and historical imputation is removed, larger than usual revisions may occur in estimates around 16 weeks prior to the latest week. This is more evident during brief periods of labour market shock, which were likely to experience slight over-imputation.
In each reference week, employer reported data is included for almost all weekly paid employees, most employees paid fortnightly and some employees paid monthly. For example, an employer with a fortnightly payroll will only report payments in alternate weeks in the STP dataset. As at the end of March 2021, the data indicated that 33% of employees are paid weekly; 52% are paid fortnightly; 12% are paid monthly; and 3% are paid quarterly or infrequently.
While a fortnightly pay frequency is the most common amongst all industries, the dominant pay frequency varies across industry (seen in the graph below), which can affect the level of imputation for each industry in any given week.
Ranked by ascending weekly pay frequency, for the week ending 27 March 2021.
Once STP data are converted via the calendarisation method and imputation is applied, the data are aggregated for each week (ending Saturday) to produce:
To protect the confidentiality of individuals, data are subject to suppression where a small number of individuals contribute to an individual estimate (such as sub-state indexes). A detailed index may be suppressed throughout the time series, if it is produced from consistently low numbers of individuals.
Estimates are supplied as indexes to provide an indication of movements rather than level estimates. In order to compare changes over time, the week in which Australia recorded its 100th confirmed coronavirus case (i.e. the week ending 14 March 2020) is used as the reference period for constructing the indexes and given an index value of 100.0. These indexes differ from the ABS' suite of price indexes (including the Wage Price Index) which measure changes in price over time unaffected by quality or quantity and should not be directly compared.
Indexes allow comparison of data between two points in time, the points in time can be adjacent (this week and the previous week) or many weeks apart. Movements in the index from one period to another can be expressed as either points or percentage change and these are rounded to one decimal place. The following example illustrates the method of calculating changes in index points and percentage changes between any two periods:
|Week ending 06 February 2021 for SA4: Melbourne - Inner||99.1|
|Less week ending 09 January 2021 for SA4: Melbourne - Inner||94.8|
|Change in index points||4.3|
|Percentage change||4.3/94.8 X 100 = 4.5%|
The following example illustrates the method of calculating a recovery percentage change between any two periods:
|National payroll jobs index for week ending 14 March 2020||100|
|Less National payroll jobs index for week ending 18 April 2020||91.6|
|Payroll jobs lost from 14 March index value (denominator)||8.4|
|National payroll jobs for week ending 9 January 2021||97.6|
|Less National payroll jobs index for week ending 18 April 2020||91.6|
|Recovery index points (numerator)||6.0|
|Recovery percentage change||6.0/8.4 X 100 = 71.4%|
Individual STP transactions are not amended, however aggregate levels may be adjusted at a state/territory by industry level to remove the effect of:
Aggregate adjustments are applied to the applicable state/territory by industry levels. The adjustments in each release are:
Currently, it is not possible to calculate individual adjustments for all output groups, hence the adjustments applied at a state/territory by industry are also applied equally to all component indexes (such as state/industry by age group or employment size).
Aggregate level adjustments can affect the relative proportion of characteristics over time. The effect is more significant where large organisation onboarding has taken place and those organisations are dominant in their state and industry. The ABS is investigating an alternative adjustment method to reduce the impact of these adjustments on characteristics distributions. More information will be provided when a new method is implemented.
As existing employers commence reporting through STP for the first time, the ABS determines when the employer appears in the dataset and distributes the year to date jobs and wages across all past payment periods for the current financial year. This ensures that weekly estimates best reflect change in the labour market over time through payment activities, rather than changes in the uptake of STP reporting. This approach can result in historical revisions across the time series.
Weekly payroll jobs and wages indexes are available for a combination of employer characteristics (industry, employment size and sector) and jobholder characteristics (state and region of residential address, age, and sex). These characteristics are populated from variables found in the snapshots of the ABS Business and ATO Client Registers. These Registers are described in more detail in the Glossary and How data are collected (Other data sources) sections of this release.
The snapshot vintage, frequency of update and refresh timing can differ and are described further below.
Up until the 6 July 2021 release, a March 2020 ABS Business Register (ABSBR) snapshot was used to determine the industry and employment size of a jobholder’s employer. In the 6 July 2021 release, the March 2021 ABSBR snapshot was used to update employer variables back to the week ending 29 August 2020 (also known as the transition point). Some indexes of employer characteristics have a visible change in levels at the transition point. The ABS is working on a method to smooth this change, which will be applied in a future release. Consequently, users should exercise caution when comparing week-on-week change and index levels for industry and employment size across the transition point. More information on the changes around the transition point are documented in a historical Methods review section.
Once an employers’ payroll job is allocated to an employer characteristic it is held constant until the next snapshot, when missing values will be populated and existing values refreshed (if they have changed). Employers whose employer characteristics can't be linked or derived from the latest ABSBR snapshot are assigned an ‘unknown’ category for the relevant employer characteristic. As the March 2021 ABSBR snapshot ages, the proportion of records with unknown industry and employment size is expected to increase. The ABS anticipates that snapshots will be refreshed on at least an annual basis and applied around the end of August, to enable a regular update of employer characteristics and minimise the number of unknowns.
Employer characteristics have been expanded to include a public/private sector variable throughout the time series. The release of 7 October 2021 includes the first set of sector indexes, payroll jobs by selected private sector industries. Private sector indexes are included for industries where the payroll jobs in the private sector are more than 80% of all payroll jobs. Industries not included in the sector tables are Electricity, gas, water and waste services; Public administration and safety; Education and training; and Health care and social assistance.
It is intended that both private and public sector by industry indexes and private and public sector by state and territory indexes will be released in the future. The current method of applying adjustments, for anomalous reporting and commencement of employer reporting through STP, does not differentiate on sector. While there is a small impact in indexes where the private sector dominates, the adjustment method requires enhancement to allow for more granular application and more accurate representation of change for both private and public sector indexes (for all industries and at state and territory levels).
Jobholder variables in these estimates were initially sourced from the mid-2019 Client Register snapshot. From the 13 April 2021 release, jobholder variables such as date of birth (from which age is derived), sex and residential geography (including sub-state region) were updated using the mid-2020 snapshot. To reduce the volatility in fluctuating characteristics, jobholder variables are held constant between snapshot updates. While the date of birth variable is held constant, the jobholder’s age (as derived from date of birth) continues to be updated at the start of a jobholder’s birth month each year.
STP records whose jobholder characteristics cannot be determined from STP or the Client Register snapshot are assigned an ‘unknown’ category for the relevant jobholder characteristic. As persons join the workforce or register with the ATO for the first time, the Client Register snapshot becomes outdated and the number of payroll jobs with an unknown characteristic can increase. Proportions of unknown age and residential geography remain small over time, as they can also be derived from STP data. However, the proportion of unknown sex (which is only sourced from the Client Register) is expected to increase over time as the snapshot ages. The ABS is currently investigating suitable timing and frequency of future Client Register updates, but expects that the snapshot will be updated on at least an annual basis in these estimates.
For more information on how unknowns can affect the interpretation of estimates, see the following section on the inclusion of unknown characteristics.
STP data is linked to other information held by the ABS to derive demographic and business characteristics such as age group, sex, geography and industry. If a specific characteristic cannot be linked or derived, and does not appear on the STP file, it is assigned an 'unknown' category (for that characteristic).
Records with 'unknown' characteristics are included in the calculation of index totals for that category. As 'total' and 'component' indexes are calculated independently, the inclusion of records with 'unknown' characteristics in a 'total' index can result in independent movement from 'component' indexes. For example, the ‘total’ index of Persons is calculated from the combined levels of Males, Females and 'unknown’ (persons for whom a Male/Female sex cannot be determined). As a result, the Persons index can move independently from Male and Female indexes, which do not include ‘unknown’ persons. While the proportion of unknown characteristics vary by characteristic, their impact will be compounded in components of finer indexes (such as in State and territory by sex by age group).
These estimates are also affected by the dynamic nature and source of data. The impact on accuracy and coherence with other ABS labour statistics are described below.
STP is a dynamic administrative data source, hence these estimates may be subject to the following sources of error:
There are differences between these estimates and similar statistics produced by the ABS. When compared to other ABS sources, the change in payroll jobs and wages paid in these estimates may differ due to differences in the concepts, scope and methodology used. For example, these estimates:
All estimates are presented for weeks ending on a Saturday.
Each release contains both payroll jobs and total wages indexes and percentage change movements. Estimates are available at the national, state and territory and Australian and New Zealand Standard Industry Classification (ANZSIC) division by selected jobholder and employer attributes. Australian Statistical Geography Standard sub-state regions (Statistical Area 4, Statistical Area 3 and Greater Capital City Statistical Area) and ANZSIC subdivision estimates are also updated in each release.
Levels for jobs and wages are not available for release. The payroll jobs index provides a measure of changes in jobs over time since the week ending 14 March 2020. Information on levels for jobs are best sourced from estimates of filled jobs from Labour Account Australia and estimates of employed persons from Labour Force, Australia. More information is included in Differences to Labour Force employment statistics.
The data underlying these estimates are revised in each release and reflected in percentage change movements and indexes. See Data variability and revisions for more detail.
The estimates are presented as an original series only. Seasonally adjusted and trend estimates are not yet available. A number of years of data will be required before seasonal patterns can be observed and adjusted for.
The calendarisation and imputation methodologies applied to the estimates account for calendar related variations, such as the number of days in a month, and different payment frequencies.
Legislative requirements to ensure privacy and secrecy of this data have been adhered to. In accordance with the Census and Statistics Act 1905, results are confidentialised to ensure that they are not likely to enable identification of a particular person or organisation.
All personal information is handled in accordance with the Australian Privacy Principles contained in the Privacy Act 1988. For more information, see ABS Privacy.
For more information on this methodology email email@example.com.
The ABS is continuing to review and improve the methods which support the Weekly Payroll Jobs and Wages series to enhance the quality of estimates. The Methods review section will be a regular feature of the release, as improvements to methods are progressively implemented.
Categorising payroll jobs by employer characteristics in close to real-time is challenging. From the release of 9 December 2021, the ABS has updated the method used to determine the employer characteristics of payroll jobs as they are added to the series and refined the process used to determine industry, enhancing statistical quality. Approximately 4% of all payroll jobs in the underlying dataset have had their employer characteristics updated.
The ABS recommends that analyses using estimates published prior to the 9 December 2021 release be refreshed with updated data.
There are around 20 million unique jobholder-employer relationships, or payroll jobs, in the dataset (covering July 2019 to September 2021) which are the basis of estimates presented in the 9 December 2021 release.
The employer characteristics of payroll jobs are sourced from the ABS Business Register (BR), which includes two population groups (profiled and non-profiled). The assignment of employer characteristics to payroll jobs depends on which population group the employer falls within.
For payroll jobs worked at non-profiled businesses, the employer characteristics match those of the business’ Australian Business Number (ABN). Approximately 61% of payroll jobs in the dataset are worked at non-profiled businesses, and no change has been made to the employer characteristics of this population as part of this update.
Where an employer is part of the profiled population, payroll jobs are assigned to a Type of Activity Unit (TAU) based on a logistic regression model developed using 2016 Census data. The model references independent variables common to both Census and the Weekly Payroll Jobs and Wages in Australia dataset, including sex, age and region of usual residence. These are used to predict industry which conceptually aligns to a TAU.
Based on the model, each payroll job record is assigned a probability of being in a TAU present in the employing Enterprise Group (EG). Iterative random assignment is undertaken, via an allocation process, using these probabilities until employment benchmarks are met. Benchmarks are based on ABSBR data. A payroll job inherits the employer characteristics (industry, employment size and sector) of the TAU it is assigned to.
See the Glossary for more information on ABSBR populations, TAUs and EGs.
This allocation process, initially designed for the Linked Employer Employee Dataset (LEED), was first run in April 2020 during the development phase of the Weekly Payroll Jobs and Wages in Australia.
In the release of 9 December 2021, the allocation process has been updated in line with the March 2021 BR data to improve the accuracy of employer characteristics in the profiled population. Only payroll jobs in the profiled population, which entered the STP dataset after April 2020 (14% of the whole dataset) are potentially affected by this update. The remainder of payroll jobs (86%) in the dataset were not subjected to the updated allocation process.
|Profiled population||Non-profiled population|
|In dataset at April 2020||25%||32%|
|New jobs since April 2020||14%(a)||29%|
|Across entire dataset||39%||61%|
a. Eligible jobs
Just over one quarter (28%) of eligible jobs, or 4% of the total dataset, saw a change in their industry coding as part of the update to the allocation process. In the estimates, these changes translate as transfers of payroll jobs and associated wages between industries. The following graph presents the distribution of payroll jobs by industry pre and post update.
Source: Weekly Payroll Jobs and Wages in Australia, Week ending 11 September 2021
Indexes of employer characteristics (industry, subdivision, employment size, sector) will see revisions from this update, particularly during 2021. This update has no impact on the Australia level indexes.
The revisions due to the method update varied across industry indexes and over time. The following industry indexes saw the largest revisions (in a single week) in payroll jobs:
The following industry indexes saw the largest revisions (in a single week) in wages:
The following graphs present pre and post update payroll jobs and wages indexes for the Accommodation and food services industry, up to the week ending 11 September 2021.
Source: Weekly Payroll Jobs and Wages in Australia, Week ending 11 September 2021
Source: Weekly Payroll Jobs and Wages in Australia, Week ending 11 September 2021
Revisions will vary across component indexes. Age group indexes for the 15-19 and 20-29 year old persons are subject to greater revisions, due to higher proportions of new payroll jobs in these age groups since the last allocation process.
New payroll jobs worked at profiled businesses which enter the dataset after this update, will not be subject to the allocation process until its next update. For these new payroll jobs, the enterprise group industry is assigned as the default, as this is the dominant industry across the breadth of business activity within the enterprise group. These jobs may see a revision in employer characteristics in future when they are subject to the next allocation process update.
The process for determining the most appropriate industry assignment from the ABS Business Register was also refined as part of this update. A higher quality ANZSIC class variable is now used to derive industry division and subdivision. The magnitude of change at the ABSBR snapshot transition point (in the week ending 29 August 2020) has seen greater revision for some component indexes. This is most evident in the industry subdivision indexes and the largest employment size group.
More information on the ABSBR snapshot transition is in the Update of employer characteristics section of the Methods review in the week ending 19 June 2021 release.
Weekly Payroll Jobs and Wages in Australia estimates are derived from data collected via the STP system, which effectively supports employer reporting obligations and ATO operational requirements through enabled software.
STP was not primarily designed to support the production of statistics, hence some inherent characteristics contribute to variability in the estimates and revisions between releases.
Payroll jobs and wages estimates (including percentage change movements and indexes) are revised in each release across the time series. Revisions primarily relate to the receipt of more complete STP data over time and have the greatest impact on the most recently reported information. Over time, as more employer-reported data is received, the size of revisions usually decreases. Users should therefore exercise caution when focusing on change in the most recent weeks of data, as this period sees greater levels of revision in subsequent releases.
Aside from more complete reporting there are other factors which can influence the size, timing, duration and specificity of revisions.
These estimates are presented as an ‘original’ data series, and do not include seasonally adjusted or trend data time series found in other labour statistics releases (e.g. Labour Force).
STP is a relatively new program (and data source). Generally, three to five years of data are required before good seasonally adjusted data can be produced, hence it is not yet possible to produce a seasonally adjusted series (with seasonal elements removed) or trend series (with both the seasonal elements and irregular fluctuations removed). This means that variations in these estimates may reflect seasonal changes in the labour market in addition to COVID-19 related impacts in the economy.
Seasonal characteristics may be seen:
As seasonal characteristics are further identified in these data, this list will be expanded.
The Agriculture, forestry and fishing industry is subject to higher rates of week-on-week change in the payroll jobs and wages series than other industries. This is primarily due to greater peaks and troughs caused by seasonal factors that affect employment such as harvesting or shearing. Employers in this industry have also had STP reporting concessions which permit them to report on a less frequent basis than each pay event. These concessions were due to cease at the end of June 2021.
Wages estimates are subject to a higher degree of reporting variability (due to seasonal variation in payments, changes in working hours and overtime) and revisions than the payroll jobs estimates. While the ABS accounts for employees being paid with different frequencies (weekly, fortnightly etc.) there are periods where additional reporting activity is more common, which may flow through to published estimates.
Payroll jobs and wages data during June and July see a greater variation in employer reporting, due to:
These factors can translate to a higher variation in estimates over this period, as well as revisions, particularly in wages estimates.
In addition, June 2021 saw the conclusion of many STP reporting concessions which have contributed additional index movement around the end of financial year (particularly for smaller employers).
The dynamic nature of STP data can result in revisions to payroll jobs and wages indexes, caused by the re-submission of payroll data for historical pay periods (including prior financial years) by STP-enabled employers. When re-submission results in an update to payroll jobs and wages levels at the index base reference period (of 14 March 2020), a revision across the index time series in component indexes may be observed.
The size of revisions and the period over which they apply can vary between indexes. Some component indexes are subject to higher than usual levels of revision, over a longer period. For example, the employment size indexes show both a higher incidence and duration of revision. This is most noticeable in the small employers group (those with under 20 employees). Characteristics which contribute to revisions in the estimates for this group are:
The ABS is currently investigating methods to reduce the future level of revisions in this series. In the interim, to provide more stability at the end point of all employment size indexes, a month lag in the reference week is in place.
Jobholder characteristics which cannot be determined from STP or the Client Register snapshot are assigned an ‘unknown’ category. The jobholder characteristic of sex is only sourced from the Client Register and as the snapshot ages, sees a higher proportion of unknowns than other characteristics. The current Client Register snapshot was taken in mid-2020.
In July 2020 less than 0.5% of total payroll jobs had unknown sex, but by November 2021 this had risen to almost 3%. The proportion of unknown sex can be higher within more detailed jobholder characteristics as they are not evenly distributed across all characteristics. For example, over 70% of payroll jobs with unknown sex belong to persons aged 15-19 years old and 9% to 20-29 year olds.
The 15-19 year olds group has a higher proportion of payroll jobs with unknown sex, as these jobholders are more likely to be new income tax registrants and not included on the mid-2020 Client Register snapshot. Jobholder characteristics will be next updated in early 2022 when the Client Register snapshot is refreshed.
The impact of unknown sex on the 15-19 year olds group index is more significant than for other age groups, as they are a much larger proportion of its payroll jobs. In the week ending 13 November 2021, just under 35% of payroll jobs worked by 15-19 year olds have an unknown sex characteristic.
a. The proportion is determined by dividing the number of payroll jobs with unknown sex by the total payroll jobs within that group.
The proportion of unknown sex in the 15-19 year olds group is expected to increase significantly over the next few months, as payroll jobs reach a seasonal high across the November/December period and peak employment of a young casualised workforce.
The following graph presents the divergence of sex indexes for 15-19 year olds over time, which is caused by the increasing proportion of payroll jobs with unknown sex from mid-2020.
a. Payroll jobs with unknown sex are included in the persons index, but excluded from the sex indexes.
The proportion of unknown sex will continue to rise until the next Client Register update, hence users should exercise caution when referring to these estimates.
For more information on deriving jobholder and employer characteristics, please see the Updating characteristics variables section of How data are processed.
STP data is supplied by the ATO to the ABS under the Taxation Administration Act 1953, which requires that such data is only used for the purposes of administering the Census and Statistics Act 1905. Any discussion of data limitations or weaknesses is made within the context of using the data for statistical purposes, and is not related to the ability of the data to support the ATO's core operational requirements.
These estimates also include Australian Business Register (ABR) data supplied by the Registrar to the ABS under A New Tax System (Australian Business Number) Act 1999, which requires that such data is only used for the purpose of carrying out functions of the ABS. 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’s core operational requirements.
The ABS would like to acknowledge the critical support from the Australian Taxation Office (ATO) in enabling the ABS to produce these statistics.
The Weekly Payroll Jobs and Wages in Australia estimates are a complementary insight to Labour Force statistics on employment and unemployment, which provide a longstanding and comprehensive view of the Labour market.
The two releases generally show similar national movement in jobs and employment over time, however at the state/territory and industry levels, the changes can be more pronounced. The differences in concepts, scope and methodology used to produce these statistics can affect their interpretation as economic measures. Some factors that explain differences at the state/territory and industry levels include:
The following key differences should be considered when comparing these statistics:
|Weekly Payroll Jobs and Wages in Australia||Labour Force statistics|
|Focus of the statistics||Jobs.||People.|
Around 10 million payroll jobs for which a payment was reported to the ATO through STP.(a)
Almost all large employers (with 20 or more employees) and eligible small employers are reporting through STP.
Coverage increased steadily from January 2020 to July 2021 as employers started reporting through STP.
All usually resident civilian people aged 15 and over (around 21 million people, of whom 13 million are employed).
Statistics are based on a large survey sample of around 50,000 people responding every month.
Revised every release as payroll periods are completed (with imputed data replaced with actual data when received). This ensures comparability over time.
Revisions to jobholder and employer characteristics from periodic updates.(b)
|Small revisions every 3 months, aligned with new population statistics.|
|Types of employment|
Employee jobs who are paid through a STP-reported payroll.
Also includes a small number of jobs for non-employees who are paid through STP-reported payrolls.
|All employed people, including:|
Employees (including Owner managers of incorporated enterprises); Owner managers of unincorporated enterprises; Contributing family workers.
|Whether paid||Only includes payroll jobs where a payment was reported to the ATO through STP or there is an established payment pattern.||Includes all employed people who were paid or who had a job but weren’t paid (on unpaid leave, temporarily stood down without pay, etc.).|
|Multiple job holding|
Each job is counted separately, irrespective of whether it is worked by a multiple jobholder. People who work multiple jobs may be counted multiple times.
Industry is identified for each job, not just the main job and the level of multiple jobholding can vary between industries.
Each person is only counted once, and job characteristics (other than hours) relate to a person's main job.
Around 6% of employed people are multiple jobholders, particularly young people.
|Location||Residence of the jobholder, based on address held by the ATO.||Place of usual residence of people at the time of the survey.|
|Time series||Original index series. No seasonally adjusted or trend series are available yet.||Original and seasonally adjusted (trend is currently suspended, during the COVID-19 period).|
Labour Force analysis of employment versus payroll jobs up to August 2020 can be found in Strong employment growth for non-employees. More information on the differences between Weekly Payroll Jobs and Wages estimates and similar ABS statistics are detailed in the Coherence section of How data are processed.
A timeline of recently implemented methodological changes are listed below for easy reference.
Week ending 13 November 2021
Week ending 11 September 2021
Week ending 31 July 2021
Week ending 19 June 2021
Week ending 10 April 2021
Week ending 27 March 2021
Week ending 30 January 2021
Week ending 16 January 2021
Week ending 2 January 2021
Week ending 14 November 2020
Recording wages when they are earned, accrued or incurred regardless of when payment is made or received.
A register of all Australian businesses and organisations maintained by the Australian Bureau of Statistics (ABS) for the purpose of producing statistical frames and business demography outputs. It contains identifying and classificatory data for each business and organisation.
Information to populate the ABS Business Register is largely sourced from the Australian Business Register.
The ABS Business Register consists of two subpopulations, the profiled population and the non-profiled population. The ABS Business Register uses an economic units model to describe the characteristics of businesses and the structural relationships between related businesses.
A unique identifier. To be entitled to an Australian Business Number (ABN), an organisation must be one or more of the following:
A non-resident entity may be entitled to an ABN if they are carrying on an enterprise in Australia and/or, in the course of carrying on an enterprise, the entity makes sales that are connected with Australia.
The data store containing details about businesses and organisations that have registered for an Australian Business Number. More information can be found on the ABR website.
A register of persons that have interacted with the Australian Tax Office (ATO) and have been issued with an Australian Tax File Number (TFN). The ATO person-level Client Register comprises demographic information such as sex, date of birth, and residential address.
Recording the wage payment in the pay period when the payment was received by the employee.
Commencement and termination dates associated with each job as reported through Single Touch Payroll.
Persons who work for a private or public sector employer, where the employee has received payment in the reference week through Single Touch Payroll (STP) enabled software and reported to the Australian Taxation Office (ATO).
An organisation with an Australian Business Number that provides employment income to one or more people, and reports through the ATO STP system.
An institutional unit covering all the operations within Australia's economic territory of legal entities under common control. Control is defined in Corporations legislation. Majority ownership is not required for control to be exercised. An enterprise group may have one or more TAUs.
Based on residential address as sourced from either the ATO Client Register or STP data. See also 'Greater Capital City Statistical Area' and 'Statistical area' entries. For more information, see the Australian Statistical Geography Standard (ASGS): Volume 1 – Main Structure and Greater Capital City Statistical Areas.
Geographical areas built from Statistical Areas Level 4 (SA4), designed to represent the functional extent of each of the eight State and Territory capital cities. Greater capital city statistical areas (GCCSA) are presented with the 'rest of state' region to cover the whole of Australia without gaps or overlaps. The GCCSA is named according to the city it represents, for example, Greater Sydney. The remainder of the state or territory is named rest of state/territory, for example, Rest of New South Wales (NSW).
A homogenous grouping of economic activities undertaken to produce goods and services. The Australian and New Zealand Standard Industrial Classification is used to classify an entity to an industry based on its dominant activity.
The broadest grouping of industries within the Australian and New Zealand Standard Industrial Classification. The main purpose of the industry division level is to provide a limited number of categories, which give a broad overall picture of the economy. There are 19 mutually exclusive divisions. For more information see the Australian and New Zealand Standard Industrial Classification.
The second broadest grouping of industries within the Australian and New Zealand Statistical Industrial Classification. Industry subdivisions are built up from the industry groups which, in turn, are built up from industry classes. For more information see the Australian and New Zealand Standard Industrial Classification.
See payroll job.
The vast majority of businesses included on the ABSBR are in the non-profiled population. Most of these businesses have simple structures that are suitable for ABS statistical purposes at the Australian Business Number (ABN) level. For the non-profiled population, one ABN equates to one business.
Statistic is not available. This can be to protect the confidentiality of data providers or to prevent misinterpretation of statistics due to poor quality.
A person who operates their own unincorporated enterprise, which does not possess a separate legal identity to that of its owner(s), or engages independently in a profession or trade.
OMUEs can also be referred to as self-employed. Owner managers of unincorporated enterprises are not included in these estimates as they are not in scope of STP-enabled software reporting to the ATO.
Unincorporated enterprises are further defined in the Type of Legal Organisation (TOLO) classification section of the Standard Economic Sector Classifications of Australia (SESCA) release.
A payroll job is a relationship between an employee and their employing enterprise, where the employee is paid in the reference week through STP-enabled payroll or accounting software and reported to the ATO. Where an employee is paid other than weekly, the established payment pattern is used to identify jobs in weeks outside the payment week.
For a small number of businesses, the ABN unit is not suitable for ABS economic statistics purposes and the ABS maintains its own economic units structure through direct contact with businesses. These businesses constitute the profiled population and are represented by Type of Activity Units (TAUs). This population consists of large, complex and diverse groups of businesses (known as enterprise groups).
The Public/Private classification divides the economy into two sectors: Public (government units and units controlled by government); and Private (all other units). For more information, see the Standard Economic Sector Classifications of Australia (SESCA) release.
The Single Touch Payroll (STP) system sends taxation and superannuation information from a business' STP-enabled payroll or accounting software to the ATO as a business runs its payroll.
Self reported sex (i.e. male/ female) of a person as reported through the ATO taxation system. Categories other than male or female are not published separately in this release but are included in published totals.
Statistical area level 3 (SA3) regions are designed to provide a regional breakdown of Australia. They generally have a population of between 30,000 and 130,000 people. In regional areas, SA3s represent the area serviced by regional cities that have a population over 20,000 people. In the major cities, SA3s represent the area serviced by a major transport and commercial hub. They often closely align to large urban Local Government Areas (e.g. Gladstone, Geelong). In outer regional and remote areas, SA3s represent areas which are widely recognised as having a distinct identity and similar social and economic characteristics.
Statistical area level 4 (SA4) regions are specifically designed to reflect labour markets within each state and territory within population limits. In regional areas, SA4s tend to have lower populations (100,000 to 300,000), while in metropolitan areas, SA4s tend to have larger populations (300,000 to 500,000).
A TAU consists of one or more business entities, sub entities or branches of a business that can be grouped according to production activity, and can report a minimum set of data items. TAUs are classified according to the industry of their main activity. The relationship between TAUs and their associated legal entities (ABNs) may be one-to-one, many-to-one, or one-to-many.
All legal entities on the ABS Business Register are classified according to their type of legal organisation, of which there are three types:
The type of legal organisation indicates whether a business is part of the private or public sector and the type of ownership structure. For more information see the Standard Economic Sector Classifications of Australia (SESCA) release.
Wages include salary payments and allowances, labour hire payments and foreign income, as well as the value of payments in kind (where a fringe benefit amount is recorded). Bonuses are typically included where they are reported in the same field as normal payments. Wages are calculated as gross amounts, prior to taxation and deductions.
Wages exclude payments to employee's superannuation as well as severance and termination payments. Wages are only available for payroll jobs and do not include income from own businesses or other sources.
|ABN||Australian Business Number|
|ABR||Australian Business Register|
|ANZSIC||Australian and New Zealand Standard Industrial Classification|
|ASGS||Australian Statistical Geography Standard|
|ATO||Australian Taxation Office|
|FBT||fringe benefits tax|
|GCCSA||Greater Capital City Statistical Area|
|SA3||Statistical Area Level 3|
|SA4||Statistical Area Level 4|
|STP||Single Touch Payroll|
|TFN||Tax File Number|