This dataset presents a range of data items sourced from a wide variety of collections, both Australian Bureau of Statistics (ABS) and non-ABS. The data is derived from the November 2024 release of Data by region. Individual data items present the latest reference year data available on Data by region. This layer presents data by Local Government Areas (LGA), 2021.

The Education and employment theme is based on groupings of data within Data by region. Concepts, sources and methods for each dataset can be found on the Data by region methodology page.

The Education and employment theme includes:

Enrolments in preschool or preschool programs Attendance in preschool or preschool programs Highest year of school completed (Census)
Jobs in Australia Labour force status (Census) Non-school qualifications (Census) Occupation of employed persons (Census) Youth engagement in work/study (Census)

When analysing these statistics:

Time periods, definitions, methodologies, scope, and coverage can differ across collections.
Some data values have been randomly adjusted or suppressed to avoid the release of confidential data, this means

    some small cells have been randomly set to zero
    care should be taken when interpreting cells with small numbers or zeros.

Data and geography references

Source data publication: Data by region Geographic boundary information: Australian Statistical Geography Standard (ASGS) Edition 3 Further information: Data by region methodology, reference period 2011-24 Source: Australian Bureau of Statistics (ABS)

Made possible by the Digital Atlas of Australia

The Digital Atlas of Australia is a key Australian Government initiative being led by Geoscience Australia, highlighted in the Data and Digital Government Strategy. It brings together trusted datasets from across government in an interactive, secure, and easy-to-use geospatial platform. The Australian Bureau of Statistics (ABS) is working in partnership with Geoscience Australia to establish a set of web services to make ABS data available in the Digital Atlas of Australia.

Contact the Australian Bureau of Statistics

Email geography@abs.gov.au if you have any questions or feedback about this web service.
Subscribe to get updates on ABS web services and geospatial products.

Privacy at the Australian Bureau of Statistics Read how the ABS manages personal information - ABS privacy policy.

This dataset presents information about own unincorporated business income. The data covers the financial years 2011-12 to 2017-18, and is based on Local Government Areas (LGA) according to the 2018 edition of the Australian Statistical Geography Standard (ASGS).

Own unincorporated business income (OMUE income) is the profit or loss that accrues to owners of, or partners in, their own unincorporated businesses. Profit or loss is the value of the gross output of the enterprise after the deduction of operating expenses, including reportable superannuation contributions, depreciation and operating costs, but before income tax is taken out. Losses occur when operating expenses are greater than receipts and are treated as negative income.

Own unincorporated business income includes the following data items on the Individual Tax Returns (ITR):

• Net income or loss from business primary production

• Net income or loss from business non primary production

• Distribution from trusts primary production

• Net Personal Services Income

• Distribution from partnerships less foreign income non primary production

• Distribution from partnerships primary production

  These data exclude distributions from trusts for non-primary production activities as this may include aspects of investment income. It also excludes the income of working directors/owners of incorporated businesses who are classified as employees; consequently their income is included under Wage and salary income.

"Net personal services income" does not include income a person received as an employee, making it different from "Attributed personal services income".

All monetary values are presented as gross pre-tax dollars, as far as possible. This means they reflect income before deductions and loses, and before any taxation or levies (e.g. the Medicare levy or the temporary budget repair levy) are applied. The amounts shown are nominal, they have not been adjusted for inflation. The income presented in this release has been categorised into income types, these categories have been devised by the Australian Bureau of Statistics (ABS) to closely align to ABS definitions of income.

The statistics in this release are compiled from the Linked Employer Employee Dataset (LEED), a cross-sectional database based on administrative data from the Australian taxation system. The LEED includes more than 120 million tax records over seven consecutive years between 2011-12 and 2017-18.

Please note:

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

• To minimise the risk of identifying individuals in aggregate statistics, perturbation has been applied to the statistics in this release. Perturbation involves small random adjustment of the statistics and is considered the most satisfactory technique for avoiding the release of identifiable statistics, while maximising the range of information that can be released. These adjustments have a negligible impact on the underlying pattern of the statistics. Some cells have also been suppressed due to low counts.

• Totals may not align with the sum of their components due to missing or unpublished information in the underlying data and perturbation.

For further information please visit the Australian Bureau of Statistics.

AURIN has made the following changes to the original data:

• Spatially enabled the original data.

• Set 'np' (not published to protect the confidentiality of individuals or businesses) values to Null.

LGA based data for Industry of Employment by Hours Worked by Sex, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. Hours worked is an aggregate of the number of hours worked in all jobs during the week prior to Census Night. W11 is broken up into 4 sections (W11a - W11d), this section contains 'Females Inadequately described Not stated Number of hours worked None' - 'Persons Arts and recreation services Number of hours worked Total'. The data is by LGA 2016 boundaries. Periodicity: 5-Yearly. Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals. For more information visit the data source: http://www.abs.gov.au/census.

The 1991 Census Basic Community profiles present 57 tables containing summary characteristics of persons and/or dwellings for Local Government Areas (LGA) in Australia.

This table contains data relating to labour force status (part-time/full-time) by type of educational institution attending (full-time/part-time). Counts are of Persons aged 15 years or more excluding persons attending primary school, based on place of enumeration on census night which; includes overseas visitors; excludes Australians overseas; and excludes adjustment for under-enumeration. The data is by LGA 1991 boundaries. Periodicity: 5-Yearly.

This data is ABS data (cat. no. 2101.0 & original geographic boundary cat. no. 1261.0.30.001) used with permission from the Australian Bureau of Statistics. The tabular data was processed and supplied to AURIN by the Australian Data Archives. The cleaned, high resolution 1991 geographic boundaries are available from data.gov.au.

For more information please refer to the 1991 Census Dictionary.

Please note:

• (b) Comprises persons who were attending a tertiary or other institution, but did not state whether they were full-time or part-time students.

• (c) Comprises persons who might have been attending an educational institution, but did not state what type.

• (d) Full-time is defined as having worked 35 hours or more in the main job held last week.

• (e) Comprises employed persons who did not state their hours worked.

• (f) Comprises persons who did not state their labour force status.

The Australian Census Longitudinal Dataset (ACLD) is Australia's largest longitudinal dataset bringing together a 5% random sample of around one million records from the 2006 Census with corresponding records from the 2011 Census. It provides a unique opportunity for researchers and policy makers to examine pathways and transitions of population groups, such as unemployed individuals transition into the labour force. Over time, the ACLD will continue to grow as records from each new Census are linked which will further enhance its longitudinal view. The ACLD will also be augmented in the future to take account of migration and births that occur between Censuses.

The 1991 Census Expanded Community Profiles present 44 tables comprising more detailed information than that of the basic community profiles which provide characteristics of persons and/or dwellings for Local Government Areas (LGA) in Australia. This table contains data relating to method of travel to work by age of persons. Counts are of employed persons counted at home on census night, based on place of enumeration on census night which excludes adjustment for under-enumeration. The data is by LGA 1991 boundaries. Periodicity: 5-Yearly. This data is ABS data (cat. no. 2101.0 & original geographic boundary cat. no. 1261.0.30.001) used with permission from the Australian Bureau of Statistics. The tabular data was processed and supplied to AURIN by the Australian Data Archives. The cleaned, high resolution 1991 geographic boundaries are available from data.gov.au. For more information please refer to the 1991 Census Dictionary. Please note: (a) Excludes visitors, and usual residents who were absent on census night. (b) Includes cases when method of travel to work could not be determined.

This dataset presents information about employee income by age and sex. The data covers the financial years 2011-12 to 2017-18, and is based on Statistical Area Level 4 (SA4) according to the 2016 edition of the Australian Statistical Geography Standard (ASGS).

Employee income is the total (or gross) income received as a return to labour from an employer or from a person's own incorporated business (when they are employed by this business). The data used in deriving employee income comes from both Individual Tax Returns (ITR) and payment summaries (where an individual has not lodged an ITR).

All monetary values are presented as gross pre-tax dollars, as far as possible. This means they reflect income before deductions and loses, and before any taxation or levies (e.g. the Medicare levy or the temporary budget repair levy) are applied. The amounts shown are nominal, they have not been adjusted for inflation. The income presented in this release has been categorised into income types, these categories have been devised by the Australian Bureau of Statistics (ABS) to closely align to ABS definitions of income.

The statistics in this release are compiled from the Linked Employer Employee Dataset (LEED), a cross-sectional database based on administrative data from the Australian taxation system. The LEED includes more than 120 million tax records over seven consecutive years between 2011-12 and 2017-18.

Please note:

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

• To minimise the risk of identifying individuals in aggregate statistics, perturbation has been applied to the statistics in this release. Perturbation involves small random adjustment of the statistics and is considered the most satisfactory technique for avoiding the release of identifiable statistics, while maximising the range of information that can be released. These adjustments have a negligible impact on the underlying pattern of the statistics. Some cells have also been suppressed due to low counts.

• Totals may not align with the sum of their components due to missing or unpublished information in the underlying data and perturbation.

For further information please visit the Australian Bureau of Statistics.

AURIN has made the following changes to the original data:

• Spatially enabled the original data.

• Set 'np' (not published to protect the confidentiality of individuals or businesses) values to Null.

Australian Bureau of Statistics (ABS) - Census of Population and Housing General Community Profile

Method of travel to work

Please note that there are small random adjustments have been made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.

The data is presented by the ACT Government for the purpose of disseminating information for the benefit of the public. The ACT Government has taken great care to ensure the information in this report is as correct and accurate as possible. Whilst the information is considered to be true and correct at the date of publication, changes in circumstances after the time of publication may impact on the accuracy of the information. Differences in statistical methods and calculations, data updates and guidelines may result in the information contained in this report varying from previously published information.

Journey to Work (JTW) data are derived from the 5-yearly Census of Population and Housing conducted by the Australian Bureau of Statistics (ABS). It includes data on employment by industry and …Show full descriptionJourney to Work (JTW) data are derived from the 5-yearly Census of Population and Housing conducted by the Australian Bureau of Statistics (ABS). It includes data on employment by industry and occupation, and method of travel to work at a fine geographical level known as the travel zone. This information is a valuable resource for the analysis and forecasting of employment, commuting patterns and land use changes.

SA2 based data for Industry of Employment by Hours Worked by Sex, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. Hours worked is an aggregate of the number of hours worked in all jobs during the week prior to Census Night. W11 is broken up into 4 sections (W11a - W11d), this section contains 'Males Agriculture forestry and fishing Number of hours worked None' - 'Males Inadequately described Not stated Number of hours worked Total'. The data is by SA2 2016 boundaries. Periodicity: 5-Yearly. Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals. For more information visit the data source: http://www.abs.gov.au/census.

Abstract

This dataset was supplied to the Bioregional Assessment Programme by a third party and is presented here as originally supplied. Metadata was not provided and has been compiled by the Bioregional Assessment Programme based on the known details at the time of acquisition

This dataset was sourced from the ABS website: www.abs.gov.au. It did not include comprehensive metadata.

Australian Bureau of Statistics (ABS) Catalogue Number 2006.0 - Census of Population and Housing: Working Population Profile, 2011 Second Release

This dataset contains the ABS 2011 Working Population profile for 6 LGA's (Local Government Areas) in the Cooper subregion. These include Barcoo, Bulloo, Quilpie, Diamantina, Longreach Regional and Unincorporated SA.

The ABS dataset series is described as follows:

The Community Profile Series contains six separate profiles providing information on key Census characteristics relating to persons, families and dwellings and covering most topics on the Census form. The profiles are excellent tools for researching, planning and analysing small and large geographic areas. They enable comparisons to be made between different geographic areas. The available profiles for the 2011 Census are: Basic Community Profile (BCP), Place of Enumeration Profile (PEP), Aboriginal and Torres Strait Islander Peoples (Indigenous) Profile (IP), Time Series Profile (TSP), Expanded Community Profile (XCP) and the Working Population Profile (WPP).

The Working Population Profile (WPP) contains 23 tables of key Census characteristics of employed persons. The data are based on where people work. The profile includes data on hours worked, industry of employment, occupation, qualifications and method of travel to work etc.

Dataset History

The Working Population Profile spreadsheets within this dataset were downloaded from: http://www.abs.gov.au/websitedbs/censushome.nsf/home/map.

Each LGA spreadsheet was searched for, and downloaded separately.

Dataset Citation

Australian Bureau of Statistics (2013) ABS Cooper Local Government Areas (LGA) Working Population Profile 2011 Census. Bioregional Assessment Source Dataset. Viewed 07 February 2017, http://data.bioregionalassessments.gov.au/dataset/65261aa9-38b8-4031-b10d-4170929f1477.

The Australian Government Department of Jobs and Small Business publishes a range of labour market data on its Labour Market Information Portal website (lmip.gov.au). The link below provides data from the Labour Force Survey conducted by the Australian Bureau of Statistics. The boundaries used in this survey are known as Statistical Area 4 regions. The data provided includes unemployment rate, employment rate, participation rate, youth unemployment rate, unemployment duration, population by age group and employment by industry and occupation.

Local Government Area (LGA) based data for Method of Travel to Work, from the Australian Bureau of Statistics (ABS) 1986 Census of Population and Housing. Census counts were based on place of usual residence which excludes overseas visitors, Australians overseas, and adjustments for under-enumeration. The data is by LGA 1986 boundaries. Periodicity: 5-Yearly.

This data is used with permission from the ABS. The tabular data was supplied to AURIN by the Australian Data Archives. The cleaned, high resolution 1986 geographic boundaries (cat. no. 1261.0.30.001) are available from Data.gov.au.

For more information please refer to the 1986 Census Dictionary (cat. no. 2102.0).

Local Government Area (LGA) based data for Hours Worked by Status of Worker, from the Australian Bureau of Statistics (ABS) 1986 Census of Population and Housing. Census counts were based on place of usual residence which excludes overseas visitors, Australians overseas, and adjustments for under-enumeration. The data is by LGA 1986 boundaries. Periodicity: 5-Yearly.

This data is used with permission from the ABS. The tabular data was supplied to AURIN by the Australian Data Archives. The cleaned, high resolution 1986 geographic boundaries (cat. no. 1261.0.30.001) are available from Data.gov.au.

For more information please refer to the 1986 Census Dictionary (cat. no. 2102.0).

Destination Zones (DZN)

Destination Zones (DZN) are co-designed with state and territory transport authorities for the analysis of Census Place of Work data, commuting patterns and the development of transport policy.

Destination Zones are geographic areas built from whole Mesh Blocks. Whole Destination Zones add up to form Statistical Areas Level 2 (SA2s). They do not align to Statistical Areas Level 1 (SA1s).

​

Australian Bureau of Statistics (Jul2021-Jun2026), Data services and APIs, ABS Website, accessed 25 July 2023.

https://www.abs.gov.au/website-privacy-copyright-and-disclaimer#copyright-and-creative-commons

This dataset presents a range of data items sourced from a wide variety of collections, both Australian Bureau of Statistics (ABS) and non-ABS. The data is derived from the November 2024 release of Data by region. Individual data items present the latest reference year data available on Data by region. This layer presents data by Statistical Areas Level 2 (SA2), 2021.

The Economy and industry theme is based on groupings of data within Data by region. Concepts, sources and methods for each dataset can be found on the Data by region methodology page.

The Economy and industry theme includes:

Number of businesses Counts of Australian businesses, including entries and exits Building approvals Residential property prices Agricultural commodities Gross value of agricultural production Registered motor vehicles Industry of employment (Census)
Estimated dwelling stock

When analysing these statistics:

Time periods, definitions, methodologies, scope, and coverage can differ across collections.
Some data values have been randomly adjusted or suppressed to avoid the release of confidential data, this means

    some small cells have been randomly set to zero
    care should be taken when interpreting cells with small numbers or zeros.

Data and geography references

Source data publication: Data by region Geographic boundary information: Australian Statistical Geography Standard (ASGS) Edition 3 Further information: Data by region methodology, reference period 2011-24 Source: Australian Bureau of Statistics (ABS)

Made possible by the Digital Atlas of Australia

The Digital Atlas of Australia is a key Australian Government initiative being led by Geoscience Australia, highlighted in the Data and Digital Government Strategy. It brings together trusted datasets from across government in an interactive, secure, and easy-to-use geospatial platform. The Australian Bureau of Statistics (ABS) is working in partnership with Geoscience Australia to establish a set of web services to make ABS data available in the Digital Atlas of Australia.

Contact the Australian Bureau of Statistics

Email geography@abs.gov.au if you have any questions or feedback about this web service.
Subscribe to get updates on ABS web services and geospatial products.

Privacy at the Australian Bureau of Statistics Read how the ABS manages personal information - ABS privacy policy.

SA2 based data for Occupation by Total Personal Income (Weekly) by Hours Worked, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. Hours worked is an aggregate of the number of hours worked in all jobs during the week prior to Census Night. W17 is broken up into 8 sections (W17a - W17h), this section contains 'Managers Negative Nil income Number of hours worked None' - 'Professionals $300-$399 Number of hours worked Total'. The data is by SA2 2016 boundaries. Periodicity: 5-Yearly. Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals. For more information visit the data source: http://www.abs.gov.au/census.

SA3 based data for Industry of Employment by Hours Worked by Sex, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. Hours worked is an aggregate of the number of hours worked in all jobs during the week prior to Census Night. W11 is broken up into 4 sections (W11a - W11d), this section contains 'Males Total Number of hours worked None' - 'Females Other services Number of hours worked Total'. The data is by SA3 2016 boundaries. Periodicity: 5-Yearly. Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals. For more information visit the data source: http://www.abs.gov.au/census.

International investment position statistics are produced using information from a wide range of data sources. These include administrative data from various government organisations and ABS survey data. Typically, administrative data are collected for reasons other than statistical analysis, such as administration and enforcement of government policy.

Estimated resident population (ERPs) is the official measure of the Australian population, published quarterly by the ABS. This dataset contains quarterly ERP by age, at state/territory and Australia level.