TableBuilder: Jobs in Australia

Information about the Jobs in Australia TableBuilder product, which is based on the Linked Employer-Employee Dataset

Accessing the data

This publication provides information about the Jobs in Australia microdata release from the Linked Employer-Employee Database (LEED). This includes details on how to use the Jobs in Australia TableBuilder product and quality of microdata.

About the dataset

Jobs in Australia provides statistics from the LEED to enable simultaneous analysis of met supply and demand in the Australian labour market. The LEED is a cross-sectional database, which uses administrative tax data to incorporate information from all employees and employers in Australia. This creates a highly detailed dataset to support analysis of employment and income statistics for micro-labour markets.

The LEED includes person and employer level information provided by the Australian Taxation Office (ATO) and the Registrar of the Australian Business Register (ABR). 

  1. Data is supplied under the Taxation Administration Act 1953, which requires that such data is only used for the purpose of administering the Census and Statistics Act 1905.
  2. ABR data is supplied 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.
  3. The LEED uses this data via the Business Longitudinal Analysis Data Environment (BLADE), which combines ABS Business Register data, business tax data and information from ABS surveys with data about the use of government programs.

Information is confidentialised to ensure privacy and secrecy of the data, in accordance with legislative requirements. Confidentiality features are detailed in the Using TableBuilder section.

Further details about the construction of the LEED and summary results are available in the publication Jobs in Australia.

About the microdata

Microdata are the most detailed information available. The Jobs in Australia microdata provides new insights to describe the number and nature of filled jobs, the people who held them, and their employers throughout seven consecutive years (2011-12 to 2017-18) across more than 2,200 different regions in Australia.

Jobs in Australia microdata is available in the TableBuilder product, an online tool for creating tables and graphs. For more information about using microdata in general, see Microdata Entry Page.

Access to microdata

  1. Register and apply for access to TableBuilder through How to Apply for Microdata.
  2. Learn more About TableBuilder.
  3. Use the Table Builder User Guide (cat. no. 1406.0.55.005).

For assistance please contact Microdata Access Strategies on 1300 135 070 or via microdata.access@abs.gov.au.

Further information

This microdata publication also includes:

  • A detailed list of Jobs in Australia data items, available in the Data downloads section.
  • A Quality Declaration.

Data available on request

Data items from the LEED, which are not included in the TableBuilder product, may be available on request to meet individual requirements. Data requests are subject to confidentiality and administrative data constraints.

To enquire about data requests complete the Information Consultancy Form, contact us on 1300 135 070 or via client.services@abs.gov.au.

Privacy

ABS Privacy Policy outlines how we handle any personal information.

File structure and content

File structure

Jobs in Australia TableBuilder provides data in two main categories: Persons and Jobs.

Person level data: 

  • Demographic information
  • Geographic information
  • Employee characteristics
  • Income

Job level data:

  • Job characteristics
  • Employer characteristics
  • Income

Data items are grouped under broad headings and subheadings, as shown in the image below:

Grouped data items

These groups expand further for more specific and detailed analysis. A complete data items list is available in the Data downloads section.

File content

Reference year

The Jobs in Australia TableBuilder contains a mandatory field called Reference year, which provides the reference periods by financial year for tabulation. The default table will display all reference years as columns and at least one year must be enabled to generate a table.

Reference year field

Summation options

Summation options are built in to allow you to choose the type of information displayed in the table. These options include sum, mean and median for income based variables, measures of job duration, overlap between jobs, and age, as well as the basic summation options choosing between job and person counts.

The level relevant to each data item, persons or jobs, should be kept in mind when extracting and analysing data. The actual population count for each data item is equal to the total cumulative frequency minus the Not applicable category.

The expanded Job level summation options are pictured below:

Expanded Job level summation options

Geography

All geographic information in the LEED is based on a person’s home address as reported on their Individual Tax Return form. Addresses are coded to the Australian Statistical Geography Standard, which details Statistical Areas, Local Government Areas, State Electoral Division and Commonwealth Electoral Divisions. Information is also available for the Socio-Economic Indexes for Areas decile of a person's Statistical Area Level 2 (SA2) region. All geography references 2018 boundaries.

If a geography variable is missing, if possible it is imputed from the individual's most recent Pay As You Go (PAYG) payment summary. When filtering data into job level data, any geography associated with a job is the residence of the employee and not the location of the business.

Industry

Industry is available at Broad and Fine levels. Broad industry division level provides 19 mutually exclusive divisions, which provide a broad overall picture of the economy. These divisions are further broken down into Fine industry subdivisions, groups and classes.

Industry information is either provided by the Australian Business Register or determined through the profiling process. An entity is classified to an industry using the Australian and New Zealand Standard Industrial Classification (cat. no. 1292.0).

Occupation

Occupation of main job is classified by Occupation type and Skill level. Occupation classifications refer to the collection of jobs sufficiently similar in title and tasks, skill level and skill specialisation. A person's occupation is identified from the main job on their individual tax return, which is defined by the Australian and New Zealand Standard Classification of Occupations (cat. no. 1220.0).

Missing

The Missing category represents the number of incomplete records for which the data items are not present. The underlying data of the LEED has a high rate of missing variables due to administrative tax data constraints and the linking and imputation processes.

Not applicable

The Not applicable category generally represents the population excluded from a derived data item. For example, the maximum number of concurrent jobs is not applicable for people without a second job.

Using TableBuilder

General information and instructions for the TableBuilder product are available in the TableBuilder User Guide (cat. no. 1406.0.55.005).

Information specific to the Jobs in Australia TableBuilder is outlined below to assist in the understanding, interpretation and tabulation of the data. Further information is available in the publication Jobs in Australia.

Confidentiality features

Confidentiality processes protect information that could potentially identify specific employees, employers or jobs. These processes are implemented to all TableBuilder data in accordance with the Census and Statistics Act 1905. All personal information is handled in accordance with the Australian Privacy Principles contained in the Privacy Act 1988.

The following processes used to confidentialise records: 

  1. De-identification
  2. Peturbation
  3. Suppression
 

De-identification

All personal income tax statistics were provided in de-identified form with no home address or date of birth. Addresses were coded to the Australian Statistical Geography Standard and date of birth was converted to an age at 30 June of the reference year prior to data provision.

Perturbation

Perturbation refers to the technique used to randomly adjust cell values, which minimises the risk of identifying individuals in aggregate statistics. Perturbation involves small random adjustments of statistics and is considered the best technique to protect identifiable statistics while maximising the range of releasable information. These adjustments have a negligible impact on the underlying pattern of the statistics.

After perturbation, a given published cell value will be consistent across all tables. However, adding up cell values to derive a total will not necessarily give the same result as published totals. The size of differences between summed cells and the relevant total will generally be very small.

Effects of perturbing data may result in components being larger than their totals, including determining proportions.

When perturbation occurs the following information messages will be displayed at the bottom of the table:

Perturbation info message

Suppression

Suppression refers to the technique of removing low values within cells to preserve confidentiality. If tables generated within TableBuilder produce very low counts, all values within the table are suppressed to reduce the risk of identifying individuals.

When table suppression occurs a red exclamation mark will appear next to the table title and the following error messages will be displayed at the bottom of the table:

Suppression error message

Data items for cross-tabulation

The Jobs in Australia TableBuilder contains person and job level data to produce employment and income statistics. When adding data items to a table, it is important to select the associated population to produce the correct tabulation. A table with multiple data items should all be applicable to the same population group.

Cross-tabulating data from the Person level with other data items from the same level will produce data about people. For example, cross-tabulating the geographic variable Statistical Area by the Broad industry of main job produces a table showing the number of people in each region by the industry division of their main job.

Important microdata considerations

High job counts

The Jobs in Australia TableBuilder describes all job relationships accumulated over the course of a year. A person can have a number of jobs throughout the year, and some jobs will be held concurrently with others.

This means the job counts in this product are higher than estimates of filled jobs published in the quarterly Australian Labour Account, which provides a point-in-time, or stock measure. These statistics about jobs also differ from Labour Force Survey statistics, which estimate the number of people who held a job in each month.

Low median income values

Median employment income per job is based on all filled jobs through the reference year. This includes jobs of short duration, such as jobs worked over the holiday period and seasonal agricultural jobs. The data also cannot differentiate part-time and full-time jobs. This means the median employment income per job in this product is quite low when compared to other employment income information.

Duration adjusted income

The adjusted employee income per job is a supplementary view of income per job that accounts for the length of time an employee job was held. Duration adjusted income divides regular payments by the number of days the job was held, and then multiplies this figure by the number of days in the reference year. Jobs held for 1 day are excluded, as are any jobs where duration of job can not be calculated.

Clarification of 'Multiple Job Holder Status' and 'Job Number'

Multiple job holder status refers to people who held concurrent jobs (with an overlap of at least 31 days) at some point in the reference year. People with a job number count greater than one, held more than one job in the reference year, but not necessarily concurrently. For example, an individual who worked two different jobs in a financial year, but only held one job at a time, would have two jobs under job number but not have multiple job holder status.

Field Exclusion Rules

Field Exclusion Rules were applied to the Jobs in Australia TableBuilder to protect identifiable information. These rules prevent the combination of specific variables, like accessing both geography and industry at fine levels in the same table. Where geography other than Australia is requested, users will only be able to select broad industry division for cross-classification and will not be able to select fine level industry (subdivision, group, or class).

The following variable combinations are prohibited:

  • Industry at fine levels with Geography smaller than Australia
  • Industry with Standard Institutional Sector Classification of Australia, Type of Legal Organisation or employment size.

If Field Exclusion Rules are breached the following information messages will be displayed at the top of the table:

Field exclusion rules error message

Industry variables

Industry is divided into two variables, Broad industry and Fine industry, to allow the broadest range of analysis while protecting private information. These variables can not be combined with each other, as they present the same information, or with the other variables outline in Field Exclusion Rules.

Tabulation guidance

Select the Jobs in Australia, 2011-12 to 2017-18 dataset from the Labour Force category:

Tabulation guidance: Selecting the Jobs in Australia dataset from the Labour Force category.

Predefined tables are available to demonstrate tabulation and can be modified as required.

Selecting a new table enables you to choose specific data items and build a customised table. Opening a new table will provide a blank table with all reference years selected as columns by default:

Tabulation Guidance: Default table includes all reference years.

Selected years can be removed using the Reference year variable:

Tabulation guidance: How to remove reference years

At least one year must be enabled to generate a table, for example:

Tabulation guidance: Displaying only 2 reference year

Next step is to further define the required table by applying variables to rows and columns. Filters can be applied to only display data for specific variables, while wafers will enable the data to be displayed in multiple layers of a table. Ensure the correct population is selected and data items are applicable to the same level, for example Person level Sex of person and Statistical area by state:

Tabulation guidance: Example table.

Click 'Retrieve Data' to populated table:

Tabulation guidance: Table options which provides the retrieve data button.

Please note: Due to the size of this highly detailed dataset and depending on the complexity of selected tables, tabulation may take several minutes.

The TableBuilder User Guide (cat. no. 1406.0.55.005) provides detailed instructions on how to Build a tableWorking with tables and all other aspects of using the TableBuilder product.

Data downloads

Jobs in Australia TableBuilder data item list

Previous catalogue number

This release previously used catalogue number 6160.0.00.001.