16 datasets found
  1. Households in 30% Housing Stress - Dataset - data.sa.gov.au

    • data.sa.gov.au
    Updated May 28, 2013
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    (2013). Households in 30% Housing Stress - Dataset - data.sa.gov.au [Dataset]. https://data.sa.gov.au/data/dataset/households-in-30-housing-stress
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    Dataset updated
    May 28, 2013
    Dataset provided by
    Government of South Australiahttp://sa.gov.au/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    South Australia
    Description

    Housing Affordability Supply and Demand Data. Number of South Australian households paying more than 30% of their household income on housing (rent or mortgage) broken down by very low, low and moderate income brackets. This dataset relates to section 4, Housing Stress, of the Affordability master reports produced by the SA Housing Authority. Each master report covers one Local Government Area and is entitled ‘Housing Affordability – Demand and Supply by Local Government Area’. The Demand for Supply for LGA reports are available online at: https://data.sa.gov.au/data/dataset/housing-affordability-demand-and-supply-by-local-government-area Explanatory Notes: Data sourced from the Australian Bureau of Statistics (ABS), Census for Population and Housing and it is updated every 5 years in line with the ABS Census. The nature of the income imputation means that the reported proportion may significantly overstate the true proportion. Census housing stress data is best used in comparing results over Censuses (ie did it increase or decrease in an area) rather than using it to ascertain what proportion of households were in rental stress. Income bands are based on household income. High income households can also experience rental stress. These households are included in the total but not identified separately. Data is representative of households in very low, low and moderate income brackets. Please note that 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.

  2. a

    ABS 2021 Census G40 Rent (weekly) by landlord type by 2021 LGA

    • digital.atlas.gov.au
    • digitalatlas-digitalatlas.hub.arcgis.com
    Updated Nov 27, 2023
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    Digital Atlas of Australia (2023). ABS 2021 Census G40 Rent (weekly) by landlord type by 2021 LGA [Dataset]. https://digital.atlas.gov.au/datasets/3ab3579d0d374c2290c76c7106a8a2ba
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    Dataset updated
    Nov 27, 2023
    Dataset authored and provided by
    Digital Atlas of Australia
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    This dataset presents information from G40 – Rent (weekly) by landlord type in Australia based on the general community profile from the 2021 Census. It contains characteristics of persons, families, and dwellings by Local Government Areas (LGA), 2021, from the Australian Statistical Geography Standard (ASGS) Edition 3.

    This dataset is part of a set of web services based on the 2021 Census. It can be used as a tool for researching, planning, and analysis. The data is based on place of usual residence (that is, where people usually live, rather than where they were counted on Census night), unless otherwise stated.

    Small random adjustments have been made to all cell values to protect the confidentiality of respondents. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals. For further information see the 2021 Census Privacy Statement, Confidentiality, and Introduced random error/perturbation.

    Made possible by the Digital Atlas of Australia The Digital Atlas of Australia is an Australian Government initiative being led by Geoscience Australia. It will bring 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.

    Contact the Australian Bureau of Statistics (ABS) If you have questions, feedback or would like to receive updates about this web service, please email geography@abs.gov.au. For information about how the ABS manages any personal information you provide view the ABS privacy policy.

    Data and geography references Source data publication: G40 – Rent (weekly) by landlord type Geographic boundary information: Australian Statistical Geography Standard (ASGS) Edition 3 Further information: About the Census, 2021 Census product release guide – Community Profiles, Understanding Census geography Source: Australian Bureau of Statistics (ABS)

  3. Private Rent Report - Dataset - data.sa.gov.au

    • data.sa.gov.au
    Updated Jun 15, 2025
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    (2025). Private Rent Report - Dataset - data.sa.gov.au [Dataset]. https://data.sa.gov.au/data/dataset/private-rent-report
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    Dataset updated
    Jun 15, 2025
    Dataset provided by
    Government of South Australiahttp://sa.gov.au/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    South Australia
    Description

    Quarterly summary of median private rent in South Australia by: suburb, postcode, State Government regions and Local Government Areas. The information relates to bonds lodged with Consumer and Business Services for private rental properties in South Australia.

  4. a

    ABS 2021 Census G40 Rent (weekly) by landlord type by 2021 SA2

    • digital.atlas.gov.au
    • digitalatlas-digitalatlas.hub.arcgis.com
    Updated Nov 27, 2023
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    Digital Atlas of Australia (2023). ABS 2021 Census G40 Rent (weekly) by landlord type by 2021 SA2 [Dataset]. https://digital.atlas.gov.au/items/e4c86f52ad1a4320aca54dc3f3e7b63c
    Explore at:
    Dataset updated
    Nov 27, 2023
    Dataset authored and provided by
    Digital Atlas of Australia
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    This dataset presents information from G40 – Rent (weekly) by landlord type in Australia based on the general community profile from the 2021 Census. It contains characteristics of persons, families, and dwellings by Statistical Areas Level 2 (SA2), 2021, from the Australian Statistical Geography Standard (ASGS) Edition 3.

    This dataset is part of a set of web services based on the 2021 Census. It can be used as a tool for researching, planning, and analysis. The data is based on place of usual residence (that is, where people usually live, rather than where they were counted on Census night), unless otherwise stated.

    Small random adjustments have been made to all cell values to protect the confidentiality of respondents. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals. For further information see the 2021 Census Privacy Statement, Confidentiality, and Introduced random error/perturbation.

    Made possible by the Digital Atlas of Australia The Digital Atlas of Australia is an Australian Government initiative being led by Geoscience Australia. It will bring 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.

    Contact the Australian Bureau of Statistics (ABS) If you have questions, feedback or would like to receive updates about this web service, please email geography@abs.gov.au. For information about how the ABS manages any personal information you provide view the ABS privacy policy.

    Data and geography references Source data publication: G40 – Rent (weekly) by landlord type Geographic boundary information: Australian Statistical Geography Standard (ASGS) Edition 3 Further information: About the Census, 2021 Census product release guide – Community Profiles, Understanding Census geography Source: Australian Bureau of Statistics (ABS)

  5. A

    Renters and first-time home buyers, 1975-1976

    • dataverse.ada.edu.au
    pdf, rtf, zip
    Updated Aug 5, 2019
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    Graeme Bethune; Graeme Bethune (2019). Renters and first-time home buyers, 1975-1976 [Dataset]. http://doi.org/10.26193/EV0QH4
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    rtf(1957781), zip(114717), pdf(3106290), zip(78188), zip(111433), zip(53710), pdf(127689), pdf(3709993), pdf(1537563)Available download formats
    Dataset updated
    Aug 5, 2019
    Dataset provided by
    ADA Dataverse
    Authors
    Graeme Bethune; Graeme Bethune
    License

    https://dataverse.ada.edu.au/api/datasets/:persistentId/versions/2.0/customlicense?persistentId=doi:10.26193/EV0QH4https://dataverse.ada.edu.au/api/datasets/:persistentId/versions/2.0/customlicense?persistentId=doi:10.26193/EV0QH4

    Area covered
    Australia
    Dataset funded by
    Housing and Construction Department (Australia)
    Description

    The aim of the survey was to collect comparable data on the attitudes and characteristics of a group of private tenants, and people of households which had recently moved out of the private rental sector and into home ownership. There are two data files, one for tenants and one for buyers containing variables for each household member on age, sex, marital status, occupational and employment status, highest level of schooling obtained and the number of minutes to work/school; capital assets; ownership of vehicles; membership of local organisations; voting in municipal elections; income; housing situation; housing attitudes; housing-related policy issues; and preferences for buying/renting. In addition, the buyers data file contains variables on house loans, cost of land, house rates and property insurance, and dwelling location rating; the tenants data file contains variables on tenancy conditions and tenant satisfaction.

  6. a

    Taxation Statistics 2018-19

    • digital.atlas.gov.au
    • digitalatlas-digitalatlas.hub.arcgis.com
    Updated Apr 21, 2021
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    Digital Atlas of Australia (2021). Taxation Statistics 2018-19 [Dataset]. https://digital.atlas.gov.au/datasets/taxation-statistics-2018-19
    Explore at:
    Dataset updated
    Apr 21, 2021
    Dataset authored and provided by
    Digital Atlas of Australia
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Area covered
    Description

    AbstractTaxation Statistics 2018-19 is a continental dataset providing an overview of the income and tax status of Australian individuals, companies, partnerships, trusts and funds for the 2018-19 financial year.The dataset was compiled for the annual publication, Taxation Statistics, the ATO’s key statistical report. It provides a comprehensive statistical summary of information taxpayers report to the ATO. It includes information sourced from:The income tax returns of individuals, companies, super funds, partnerships and trusts.Annual returns for fringe benefits tax (FBT) and goods and services tax (GST).Business activity statements (BAS) and instalment activity statements (IAS).Schedules for rental properties, capital gains tax (CGT) and international dealings.The Member Account Attributes Service (MAAS) and Member Account Transaction Service (MATS).Other information reported to the ATO in relation to excise, the pay as you go (PAYG) system, and charitable institutions.Previous versions of this dataset are available on the Australian Government open government data portal data.gov.auCurrencyDate Published: 12 April 2021Date Updated: 13 September 2024Modification Frequency: As neededData ExtentSpatial ExtentNorth: -9.1°South: -43.6°East: 159.1°West: 96.8°Source informationData and Metadata are available from Taxation Statistics 2018-19 - Dataset - Data.gov.auThe data was obtained from the Australian Taxation Office.Catalog Entry: Taxation Statistics 2018-19 - Dataset - Data.gov.auLineage statementThis layer was put together using two datasets. Australian taxation and income data provided by the Australian Taxation Office (ATO), was joined to the 2011 Postal Areas shapefile provided by the Australian Bureau of Statistics (ABS).Postal AreasPostal Areas (POA) are an ABS Mesh Block approximation of a general definition of postcodes. They enable comparison of ABS data with other data collected using postcodes as the geographic reference. ABS approximations of administrative boundaries do not match official legal boundaries exactly and should only be used for statistical purposes.Data and geography referencesSource data publication: Australian Statistical Geography Standard (ASGS): Volume 3 - Non ABS Structures, July 2011Further information: Australian Statistical Geography Standard (ASGS): Volume 3 - Non ABS Structures, July 2011 – Explanatory NotesSource: Australian Bureau of Statistics (ABS)Data Preparation:The CSV was joined to the POA geographies using the 4 digit postcode. For the CSV, it was exported as a file geodatabase and a new field had to be generated where the postcodes were entered as text data to maintain the leading zeroes. The new text postcode field was then joined to the ABS POA_Name field.All data manipulations, joins, and spatial operations were performed using ArcGIS Pro 3.4.3.Data dictionaryAttribute nameDescriptionPostcodesThe postcode affiliated with that areaNumber of individuals lodging an income tax returnThe number of individuals lodging a tax return in that postcodeCount taxable income or lossThe number of individuals reporting taxable income or loss in the postcodeAverage taxable income or lossThe average taxable income or loss of the postcodeMedian taxable income or lossThe mediantaxable income or lossby postcodeProportion with salary or wagesThe proportion of individuals reporting salary or wages in the postcodeCount salary or wagesThe number of individuals reporting salary or wages in the postcodeAverage salary or wagesThe average salary or wages of the postcodeMedian salary or wagesThe median salary or wages of the postcodeProportion with net rentThe proportion of individuals reporting net rent in the postcodeCount net rentThe number of individuals reporting net rent in the postcodeAverage net rentThe average net rent in the postcodeMedian net rentThe median net rent in the postcodeCount total income or lossThe number of individuals reporting total income or loss by postcodeAverage total income or lossThe average total income or loss of the postcodeMedian total income or lossThe mediantotal income or lossby postcodeCount total deductionsCount of individuals reporting total deductions in the postcodeAverage total deductionsThe average total deductions of the postcodeMedian total deductionsThe median total deductions of the postcodeProportion with total business incomeThe proportion of individuals reporting business income in the postcodeCount total business incomeThe number of individuals reporting business income in the postcodeAverage total business incomeThe average total business income in the postcodeMedian total business incomeThe median total business income in the postcodeProportional total business expensesThe proportion of individuals reporting business expenses in the postcodeCount total business expensesThe number of individuals reporting business expenses in the postcodeAverage total business expensesThe average business expenses in the postcodeMedian total business expensesThe median business expenses in the postcodeProportion with net taxThe proportion of individuals with net tax in the postcodeCount net taxThe number of individuals with net tax in the postcodeAverage net taxThe average net tax in the postcodeMedian net taxThe median net tax in the postcodeCount super total accounts balanceThe total number of super accounts in the postcodeAverage super total accounts balanceThe average balance of super accounts in the postcodeMedian super total accounts balanceThe median balance of super accounts in the postcodeAREA_SQKMThe area in square kilometres of the postcodeSHAPE_LengthLength of polygon outlineSHAPE_AreaArea of the polygonContactAustralian Taxation Office, taxstats@ato.gov.au

  7. a

    Taxation Statistics 2016-17

    • digitalatlas-digitalatlas.hub.arcgis.com
    • digital.atlas.gov.au
    Updated Apr 21, 2021
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    Digital Atlas of Australia (2021). Taxation Statistics 2016-17 [Dataset]. https://digitalatlas-digitalatlas.hub.arcgis.com/datasets/taxation-statistics-2016-17
    Explore at:
    Dataset updated
    Apr 21, 2021
    Dataset authored and provided by
    Digital Atlas of Australia
    License

    Attribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
    License information was derived automatically

    Area covered
    Description

    AbstractTaxation Statistics 2016-17 is a continental dataset providing an overview of the income and tax status of Australian individuals, companies, partnerships, trusts and funds for the 2016-17 financial year.The dataset was compiled for the annual publication, Taxation Statistics, the ATO’s key statistical report. It provides a comprehensive statistical summary of information taxpayers report to the ATO. It includes information sourced from:The income tax returns of individuals, companies, super funds, partnerships and trusts.Annual returns for fringe benefits tax (FBT) and goods and services tax (GST).Business activity statements (BAS) and instalment activity statements (IAS).Schedules for rental properties, capital gains tax (CGT) and international dealings.Superannuation member contribution statements (MCS).Other information reported to the ATO in relation to excise, the pay as you go (PAYG) system, and charitable institutions.Previous versions of this dataset are available on the Australian Government open government data portal data.gov.auCurrencyDate Published: 7 January 2019Date Updated: 12 June 2024Modification Frequency: As neededData ExtentSpatial ExtentNorth: -9.1°South: -43.6°East: 159.1°West: 96.8°Source informationData and Metadata are available fromTaxation Statistics 2016-17 - Dataset - data.gov.auThe data was obtained from the Australian Taxation Office.Catalog Entry:Taxation Statistics 2016-17 - Dataset - Data.gov.auLineage statementThis layer was put together using two datasets. Australian taxation and income data provided by the Australian Taxation Office (ATO), was joined to the 2011 Postal Areas shapefile provided by the Australian Bureau of Statistics (ABS).Postal AreasPostal Areas (POA) are an ABS Mesh Block approximation of a general definition of postcodes. They enable comparison of ABS data with other data collected using postcodes as the geographic reference. ABS approximations of administrative boundaries do not match official legal boundaries exactly and should only be used for statistical purposes.Data and geography referencesSource data publication:Australian Statistical Geography Standard (ASGS): Volume 3 - Non ABS Structures, July 2011Further information:Australian Statistical Geography Standard (ASGS): Volume 3 - Non ABS Structures, July 2011 – Explanatory NotesSource:Australian Bureau of Statistics (ABS)Data PreparationThe CSV was joined to the POA geographies using the 4 digit postcode. For the CSV, it was exported as a file geodatabase and a new field had to be generated where the postcodes were entered as text data to maintain the leading zeroes. The new text postcode field was then joined to the ABS POA_Name field.All data manipulations, joins, and spatial operations were performed using ArcGIS Pro 3.4.3.Data dictionaryAttribute nameDescriptionPostcodesThe postcode affiliated with that areaNumber of individuals lodging an income tax returnThe number of individuals lodging a tax return in that postcodeCount taxable income or lossThe number of individuals reporting taxable income or loss in the postcodeAverage taxable income or lossThe average taxable income or loss of the postcodeMedian taxable income or lossThe mediantaxable income or lossof the postcodeProportion with salary or wagesThe proportion of individuals reporting salary or wages in the postcodeCount salary or wagesThe number of individuals reporting salary or wages in the postcodeAverage salary or wagesThe average salary or wages of the postcodeMedian salary or wagesThe median salary or wages of the postcodeProportion with net rentThe proportion of individuals reporting net rent in the postcodeCount net rentThe number of individuals reporting net rent in the postcodeAverage net rentThe average net rent in the postcodeMedian net rentThe median net rent in the postcodeCount total income or lossThe number of individuals reporting total income or loss in the postcodeAverage total income or lossThe average total income or loss of the postcodeMedian total income or lossThe median total income or loss of the postcodeCount total deductionsCount of individuals reporting total deductions in the postcodeAverage total deductionsThe average total deductions of the postcodeMedian total deductionsThe median total deductions of the postcodeProportion with total business incomeThe proportion of individuals reporting business income in the postcodeCount total business incomeThe number of individuals reporting business income in the postcodeAverage total business incomeThe average total business income in the postcodeMedian total business incomeThe median total business income in the postcodeProportion with total business expenseThe proportion of individuals reporting business expenses in the postcodeCount total business expensesThe number of individuals reporting business expenses in the postcodeAverage total business expensesThe average business expenses in the postcodeMedian total business expensesThe median business expenses in the postcodeProportion with net taxThe proportion of individuals with net tax in the postcodeCount net taxThe number of individuals with net tax in the postcodeAverage net taxThe average net tax in the postcodeMedian net taxThe median net tax in the postcodeCount super total accounts balanceThe total number of super accounts in the postcodeAverage super total accounts balanceThe average balance of super accounts in the postcodeMedian super total accounts balanceThe median balance of super accounts in the postcodeAREA_SQKMThe area in square kilometres of the postcodeSHAPE_LengthLength of polygon outlineSHAPE_AreaArea of the polygonContactAustralian Taxation Office, taxstats@ato.gov.au

  8. r

    Data for AHURI 2018 commuting project

    • researchdata.edu.au
    • research-repository.rmit.edu.au
    • +1more
    Updated Feb 4, 2021
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    Tiebei Li; Jago Dodson (2021). Data for AHURI 2018 commuting project [Dataset]. http://doi.org/10.25439/RMT.13332290.V2
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    Dataset updated
    Feb 4, 2021
    Dataset provided by
    RMIT University, Australia
    Authors
    Tiebei Li; Jago Dodson
    License

    Attribution-NonCommercial-NoDerivs 4.0 (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/
    License information was derived automatically

    Description

    This dataset provides all research data produced for the AHURI project 2018, investigating commuting burden and
    housing affordability for low-income renters in Sydney and Melbourne.

  9. a

    Taxation Statistics 2021-22

    • digital.atlas.gov.au
    • digitalatlas-digitalatlas.hub.arcgis.com
    Updated Sep 25, 2023
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    Digital Atlas of Australia (2023). Taxation Statistics 2021-22 [Dataset]. https://digital.atlas.gov.au/datasets/taxation-statistics-2021-22
    Explore at:
    Dataset updated
    Sep 25, 2023
    Dataset authored and provided by
    Digital Atlas of Australia
    License

    Attribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
    License information was derived automatically

    Area covered
    Description

    AbstractTaxation Statistics 2021-22 is a continental dataset providing an overview of the income and tax status of Australian individuals, companies, partnerships, trusts and funds for the 2021-22 financial year.The dataset was compiled for the annual publication, Taxation Statistics, the ATO’s key statistical report. It provides a comprehensive statistical summary of information taxpayers report to the ATO. It includes information sourced from:The income tax returns of individuals, companies, super funds, partnerships and trusts.Annual returns for fringe benefits tax (FBT) and goods and services tax (GST).Business activity statements (BAS) and instalment activity statements (IAS).Schedules for rental properties, capital gains tax (CGT) and international dealings.Superannuation member contribution statements (MCS).Other information reported to the ATO in relation to excise, the pay as you go (PAYG) system, and charitable institutions.Previous versions of this dataset are available on the Australian Government open government data portal data.gov.auCurrencyDate Published: 25 September 2023Date Updated: 13 September 2024Modification Frequency: As neededData ExtentSpatial ExtentNorth: -9.1°South: -43.6°East: 159.1°West: 96.8°Source InformationData and Metadata are available from Taxation Statistics 2021-22 | Datasets | data.gov.au, Taxation Statistics 2021-22 - Dataset - data.gov.au.The data was obtained from the Australian Taxation Office.Catalog Entry: Taxation Statistics 2021-22 | Datasets | data.gov.auLineage statementThis layer was put together using two datasets. Australian taxation and income data provided by the Australian Taxation Office (ATO), was joined to the 2021 Postal Areas shapefile provided by the Australian Bureau of Statistics (ABS).Postal AreasPostal Areas are an ABS Mesh Block approximation of a general definition of postcodes. They enable comparison of ABS data with other data collected using postcodes as the geographic reference. ABS approximations of administrative boundaries do not match official legal boundaries and should only be used for statistical purposes.Data and geography referencesSource data publication: Australian Statistical Geography Standard (ASGS) Edition 3Geographic boundary information: Australian Statistical Geography Standard (ASGS) Edition 3 - Postal AreasFurther information: Australian Statistical Geography Standard (ASGS) Edition 3 - Non ABS StructuresSource: Australian Bureau of Statistics (ABS)Data PreparationThe CSV was joined to the POA geographies using the 4 digit postcode. For the CSV, it was exported as a file geodatabase and a new field had to be generated where the postcodes were entered as text data to maintain the leading zeroes. The new text postcode field was then joined to the ABS POA_Name field.All data manipulations, joins, and spatial operations were performed using ArcGIS Pro 3.4.3.Data dictionaryAttribute nameDescriptionPostcodesThe postcode affiliated with that areaAREA_SQKMThe area in square kilometres of the postcodeAverage taxable income or lossThe average taxable income or loss of the postcodeNumber of individuals lodging an income tax returnThe number of individuals lodging a tax return in that postcodeCount taxable income or lossThe number of individuals reporting taxable income or loss in the postcodeMedian taxable income or lossThe median taxable income or loss of the postcodeProportion with salary or wagesThe proportion of individuals reporting salary or wages in the postcodeCount salary or wagesThe number of individuals reporting salary or wages in the postcodeAverage salary or wagesThe average salary or wages of the postcodeMedian salary or wagesThe median salary or wages of the postcodeProportion with net rentThe proportion of individuals reporting net rent in the postcodeCount net rentThe number of individuals reporting net rent in the postcodeAverage net rentThe average cost of net rent in the postcodeMedian net rentThe median net rent in the postcodeCount total income or lossThe number of individuals reporting total income or loss in the postcodeAverage total income or lossThe average total income or loss of the postcodeMedian total income or lossThe median total income or loss of the postcodeCount total deductionsCount of individuals reporting total deductions in the postcodeAverage total deductionsThe average total deductions of the postcodeMedian total deductionsThe median total deductions of the postcodeProportion with total business incomeThe proportion of individuals reporting business income in the postcodeCount total business incomeThe number of individuals reporting business income in the postcodeAverage total business incomeThe average total business income in the postcodeMedian total business incomeThe median total business income in the postcodeCount total business expensesThe number of individuals reporting business expenses in the postcodeAverage total business expensesThe average business expenses in the postcodeMedian total business expensesThe median business expenses in the postcodeProportion with net taxThe proportion of individuals with net tax in the postcodeCount net taxThe number of individuals with net tax in the postcodeAverage net taxThe average net tax in the postcodeMedian net taxThe median net tax in the postcodeCount super total accounts balanceThe total number of super accounts in the postcodeAverage super total accounts balanceThe average balance of super accounts in the postcodeMedian super total accounts balanceThe median balance of super accounts in the postcodeProportion with total business expensesThe proportion of individuals reporting business expenses in the postcodeSHAPE_LengthLength of polygon outlineSHAPE_AreaArea of the polygonContactAustralian Taxation Office, taxstats@ato.gov.au

  10. a

    Taxation Statistics 2019-20

    • digital.atlas.gov.au
    Updated Aug 1, 2022
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    Digital Atlas of Australia (2022). Taxation Statistics 2019-20 [Dataset]. https://digital.atlas.gov.au/datasets/taxation-statistics-2019-20
    Explore at:
    Dataset updated
    Aug 1, 2022
    Dataset authored and provided by
    Digital Atlas of Australia
    License

    Attribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
    License information was derived automatically

    Area covered
    Description

    AbstractTaxation Statistics 2019-20 is a continental dataset providing an overview of the income and tax status of Australian individuals, companies, partnerships, trusts and funds for the 2019-20 financial year.The dataset was compiled for the annual publication, Taxation Statistics, the ATO’s key statistical report. It provides a comprehensive statistical summary of information taxpayers report to the ATO. It includes information sourced from:The income tax returns of individuals, companies, super funds, partnerships and trusts.Annual returns for fringe benefits tax (FBT) and goods and services tax (GST).Business activity statements (BAS) and instalment activity statements (IAS).Schedules for rental properties, capital gains tax (CGT) and international dealings.Superannuation member contribution statements (MCS).Other information reported to the ATO in relation to excise, the pay as you go (PAYG) system, and charitable institutions.Previous versions of this dataset are available on the Australian Government open government data portal data.gov.auCurrencyDate Published: 01 August 2022Date Updated: 13 September 2024Modification Frequency: As neededData ExtentGeocentric Datum of Australia 1994 (GDA94)Spatial ExtentNorth: -9.1°South: -43.6°East: 159.1°West: 96.8°Source InformationData and Metadata are available from Taxation Statistics 2019-20 - Dataset - data.gov.auThe data was obtained from the Australian Taxation Office.Catalog Entry: Taxation Statistics 2019-20 - Dataset - Data.gov.auLineage StatementThis layer was put together using two datasets. Australian taxation and income data provided by the Australian Taxation Office (ATO), was joined to the 2016 Postal Areas shapefile provided by the Australian Bureau of Statistics (ABS).Postal AreasPostal Areas (POA) are an ABS Mesh Block approximation of a general definition of postcodes. They enable comparison of ABS data with other data collected using postcodes as the geographic reference. ABS approximations of administrative boundaries do not match official legal boundaries exactly and should only be used for statistical purposesData and geography referencesSource data publication: Australian Statistical Geography Standard (ASGS) Edition 2 - Postal AreasFurther information: Australian Statistical Geography Standard (ASGS) Edition 2 - Non ABS StructuresSource: Australian Bureau of Statistics (ABS)Data PreparationThe CSV was joined to the POA geographies using the 4 digit postcode. For the CSV, it was exported as a file geodatabase and a new field had to be generated where the postcodes were entered as text data to maintain the leading zeroes. The new text postcode field was then joined to the ABS attribute field POA_Name.All data manipulations, joins, and spatial operations were performed using ArcGIS Pro 3.4.3.Data dictionaryAttribute nameDescriptionPostcodesThe postcode affiliated with that areaAREA_SQKMThe area in square kilometres of the postcodeNumber of individuals lodging an income tax returnThe number of individuals lodging a tax return in that postcodeCount taxable income or lossThe number of individual reports of taxable income or loss in the postcodeAverage taxable income or lossThe average taxable income or loss of the postcodeMedian taxable income or lossThe median taxable income or loss of the postcodeProportion with salary or wagesThe proportion of individuals reporting salary or wage in the postcodeCount salary or wagesThe number of individuals reporting salary or wages in the postcodeAverage salary or wagesThe average salary or wages of the postcodeMedian salary or wagesThe median salary or wages of the postcodeProportion with net rentThe proportion of individuals reporting net rent in the postcodeCount net rentThe number of individuals reporting net rent in the postcodeAverage net rentThe average cost of net rent in the postcodeMedian net rentThe median net rent in the postcodeCount total income or lossThe number of individuals reporting total income or loss in the postcodeAverage total income or lossThe average total income or loss of the postcodeMedian total income or lossThe median total income or loss of the postcodeCount total deductionsCount of individuals reporting total deductions in the postcodeAverage total deductionsThe average total deductions of the postcodeMedian total deductionsThe median total deductions of the postcodeProportion with total business incomeThe proportion of individuals reporting business income in the postcodeCount total business incomeThe number of individuals reporting business income in the postcodeAverage total business incomeThe average total business income in the postcodeMedian total business incomeThe median total business income in the postcodeCount total business expensesThe number of individuals reporting business expenses in the postcodeAverage total business expensesThe average business expenses in the postcodeMedian total business expensesThe median business expenses in the postcodeProportion with net taxThe proportion of individuals with net tax in the postcodeCount net taxThe number of individuals with net tax in the postcodeAverage net taxThe average net tax in the postcodeMedian net taxThe median net tax in the postcodeCount super total accounts balanceThe total number of super accounts in the postcodeAverage super total accounts balanceThe average balance of super accounts in the postcodeMedian super total accounts balanceThe median balance of super accounts in the postcodeProportion with total business expensesThe proportion of individuals reporting business expenses in the postcodeSHAPE_LengthLength of polygon outlineSHAPE_AreaArea of the polygon.ContactAustralian Taxation Office, taxstats@ato.gov.au

  11. a

    Taxation Statistics 2020-21

    • digital.atlas.gov.au
    Updated Mar 7, 2023
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    Digital Atlas of Australia (2023). Taxation Statistics 2020-21 [Dataset]. https://digital.atlas.gov.au/datasets/taxation-statistics-2020-21/about
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    Dataset updated
    Mar 7, 2023
    Dataset authored and provided by
    Digital Atlas of Australia
    License

    Attribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
    License information was derived automatically

    Area covered
    Description

    AbstractTaxation Statistics 2020-21 is a continental dataset providing an overview of the income and tax status of Australian individuals, companies, partnerships, trusts and funds for the 2020-21 financial year.The dataset was compiled for the annual publication, Taxation Statistics, the ATO’s key statistical report. It provides a comprehensive statistical summary of information taxpayers report to the ATO. It includes information sourced from:The income tax returns of individuals, companies, super funds, partnerships and trusts.Annual returns for fringe benefits tax (FBT) and goods and services tax (GST).Business activity statements (BAS) and instalment activity statements (IAS).Schedules for rental properties, capital gains tax (CGT) and international dealings.Superannuation member contribution statements (MCS).Other information reported to the ATO in relation to excise, the pay as you go (PAYG) system, and charitable institutions.Previous versions of this dataset are available on the Australian Government open government data portal data.gov.auCurrencyDate Published: 07 March 2023Date Updated: 13 September 2024Modification Frequency: As neededData ExtentGeocentric Datum of Australia 1994 (GDA94)Spatial ExtentNorth: -9.1°South: -43.6°East: 159.1°West: 96.8°Source InformationData and Metadata are available from Taxation Statistics 2020-21 - Dataset - data.gov.auThe data was obtained from the Australian Taxation Office.Catalog Entry: Taxation Statistics 2020-21 | Datasets | data.gov.auLineage StatementThis layer was put together using two datasets. Australian taxation and income data provided by the Australian Taxation Office (ATO), was joined to the 2016 Postal Areas shapefile provided by the Australian Bureau of Statistics (ABS).Postal AreasPostal Areas (POA) are an ABS Mesh Block approximation of a general definition of postcodes. They enable comparison of ABS data with other data collected using postcodes as the geographic reference. ABS approximations of administrative boundaries do not match official legal boundaries exactly and should only be used for statistical purposes.Data and geography referencesSource data publication: Australian Statistical Geography Standard (ASGS) Edition 2 - Postal AreasFurther information: Australian Statistical Geography Standard (ASGS) Edition 2 - Non ABS StructuresSource: Australian Bureau of Statistics (ABS)Data PreparationThe CSV was joined to the POA geographies using the 4 digit postcode. For the CSV, it was exported as a file geodatabase and a new field had to be generated where the postcodes were entered as text data to maintain the leading zeroes. The new text postcode field was then joined to the ABS POA_Name field.All data manipulations, joins, and spatial operations were performed using ArcGIS Pro 3.4.3.Data dictionaryAttribute nameDescriptionPostcodesThe postcode affiliated with that areaAREA_SQKMThe area in square kilometres of the postcodeAverage taxable income or lossThe average taxable income or loss of the postcodeNumber of individuals lodging an income tax returnThe number of individuals lodging a tax return in that postcodeCount taxable income or lossThe number of individuals reporting taxable income or loss in the postcodeMedian taxable income or lossThe median taxable income or loss of the postcodeProportion with salary or wagesThe proportion of individuals reporting salary or wages in the postcodeCount salary or wagesThe number of individuals reporting salary or wages in the postcodeAverage salary or wagesThe average salary or wages of the postcodeMedian salary or wagesThe median salary or wages of the postcodeProportion with net rentThe proportion of individuals reporting net rent in the postcodeCount net rentThe number of individuals reporting net rent in the postcodeAverage net rentThe average cost of net rent in the postcodeMedian net rentThe median net rent in the postcodeCount total income or lossThe number of individuals reporting total income or loss in the postcodeAverage total income or lossThe average total income or loss of the postcodeMedian total income or lossThe median total income or loss of the postcodeCount total deductionsCount of individuals reporting total deductions in the postcodeAverage total deductionsThe average total deductions of the postcodeMedian total deductionsThe median total deductions of the postcodeProportion with total business incomeThe proportion of individuals reporting business income in the postcodeCount total business incomeThe number of individuals reporting business income in the postcodeAverage total business incomeThe average total business income in the postcodeMedian total business incomeThe median total business income in the postcodeCount total business expensesThe number of individuals reporting business expenses in the postcodeAverage total business expensesThe average business expenses in the postcodeMedian total business expensesThe median business expenses in the postcodeProportion with net taxThe proportion of individuals with net tax in the postcodeCount net taxThe number of individuals with net tax in the postcodeAverage net taxThe average net tax in the postcodeMedian net taxThe median net tax in the postcodeCount super total accounts balanceThe total number of super accounts in the postcodeAverage super total accounts balanceThe average balance of super accounts in the postcodeMedian super total accounts balanceThe median balance of super accounts in the postcodeProportion with total business expensesThe proportion of individuals reporting business expenses in the postcodeSHAPE_LengthLength of polygon outlineSHAPE_AreaArea of the polygonContactAustralian Taxation Office, taxstats@ato.gov.au

  12. a

    UTAS IRP - Predicted Proportion of Underinsurance (SA1) 2016 - Dataset -...

    • data.aurin.org.au
    Updated Mar 6, 2025
    + more versions
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    (2025). UTAS IRP - Predicted Proportion of Underinsurance (SA1) 2016 - Dataset - AURIN [Dataset]. https://data.aurin.org.au/dataset/utas-irp-utas-irp-underinsurance-sa1-2016-sa1-2016
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    Dataset updated
    Mar 6, 2025
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Description

    This dataset presents the footprint of the proportion of underinsurance across Australia. The data is aggregated to Statistical Area Level 1 (SA1) geographic areas from the 2016 Australian Statistical Geography Standard (ASGS). House and contents underinsurance is understood as homeowners having no house insurance and renters having no contents insurance to cover adverse events. To create this dataset, researchers developed a method to extrapolate the patterns of underinsurance evident in the 2015 Australian Survey of Social Attitudes (AuSSA), an omnibus postal survey of Australian adults (Blunsdon, 2016). To do this, they combined the results of the full model of underinsurance with the 2016 Socio-Economic Indexes for Areas (SEIFA) (Australian Bureau of Statistics, 2019). For this spatial mapping, regression coefficients were converted to probabilities by taking the exponent of each coefficient to generate the odds ratio and then using the formula: probability = odds/(1+odds). For each SA1 unit (containing approximately 150 households), the proportion of residents or households was determined for each predictor variable from raw census data. The level of underinsurance (proportion of people predicted not to have insurance) was then predicted separately for renters and owner-occupiers for every SA1 and a single map generated by weighting the predictions by the proportion of renters and owner-occupiers per SA1. For further information about this dataset and its creation, please refer to the publication: Booth, K., & Kendal, D. (2019). Underinsurance as adaptation: Household agency in places of marketisation and financialisation. Environment and Planning A: Economy and Space. Please note: The researchers acknowledge some limitations with the data, including the lack of data on rental properties. They do not know whether these properties are insured by landlord-investors and how this may be associated with sociodemographic variables and contribute to the mapping. This research was in part supported by the Australian Government through the Australian Research Council Discovery Program (DP170100096).

  13. s

    Airbnb Guest Demographic Statistics

    • searchlogistics.com
    Updated Mar 17, 2025
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    (2025). Airbnb Guest Demographic Statistics [Dataset]. https://www.searchlogistics.com/learn/statistics/airbnb-statistics/
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    Dataset updated
    Mar 17, 2025
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The majority of guests on Airbnb are women. Most Airbnb guests are aged 25 to 34.

  14. a

    Taxation Statistics 2014-15

    • digital.atlas.gov.au
    • digitalatlas-digitalatlas.hub.arcgis.com
    Updated May 6, 2025
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    Digital Atlas of Australia (2025). Taxation Statistics 2014-15 [Dataset]. https://digital.atlas.gov.au/datasets/taxation-statistics-2014-15
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    Dataset updated
    May 6, 2025
    Dataset authored and provided by
    Digital Atlas of Australia
    License

    Attribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
    License information was derived automatically

    Area covered
    Description

    AbstractTaxation Statistics 2014-15 is a continental dataset providing an overview of the income and tax status of Australian individuals, companies, partnerships, trusts and funds for the 2014-15 financial year.The dataset was compiled for the annual publication, Taxation Statistics, the ATO’s key statistical report. It provides a comprehensive statistical summary of information taxpayers report to the ATO.The income tax returns of individuals, companies, super funds, partnerships and trusts.Annual returns for fringe benefits tax (FBT) and goods and services tax (GST).Business activity statements (BAS) and instalment activity statements (IAS).Schedules for rental properties, capital gains tax (CGT) and international dealings.Superannuation member contribution statements (MCS).Other information reported to the ATO in relation to excise, the pay as you go (PAYG) system, and charitable institutions.Previous versions of this dataset are available on the Australian Government open government data portal data.gov.auCurrencyDate Published: 28 March 2017Date Updated: 12 June 2024Modification Frequency: As neededData ExtentGeocentric Datum of Australia 1994 (GDA94)Spatial ExtentNorth: -9.1°South: -43.6°East: 159.1°West: 96.8°Source InformationData and Metadata are available from Taxation Statistics 2014-15 - Dataset - data.gov.auThe data was obtained from the Australian Taxation Office.Catalog Entry: Taxation Statistics 2014-15 - Dataset - Data.gov.auLineage StatementThis layer was put together using two datasets. Australian taxation and income data provided by the Australian Taxation Office (ATO), was joined to the 2011 Postal Areas shapefile provided by the Australian Bureau of Statistics (ABS).Postal AreasPostal Areas (POA) are an ABS Mesh Block approximation of a general definition of postcodes. They enable comparison of ABS data with other data collected using postcodes as the geographic reference. ABS approximations of administrative boundaries do not match official legal boundaries exactly and should only be used for statistical purposes.Data and geography referencesSource data publication:Australian Statistical Geography Standard (ASGS): Volume 3 - Non ABS Structures, July 2011Further information: Australian Statistical Geography Standard (ASGS): Volume 3 - Non ABS Structures, July 2011 – Explanatory NotesSource: Australian Bureau of Statistics (ABS)Data PreparationThe CSV was joined to the POA geographies using the 4 digit postcode. For the CSV, it was exported as a file geodatabase and a new field assigned where postcodes were entered as text data to maintain the leading zeroes. The new text postcode field was then joined to the ABS POA_Name field.All data manipulations, joins, and spatial operations were performed using ArcGIS Pro 3.4.3.Data dictionaryAttribute nameDescriptionAREA_SQKMThe area in square kilometres of the postcodeCount taxable income or lossThe number of individuals reporting taxable income or loss in the postcodeAverage taxable income or lossThe average taxable income or loss of the postcodeMedian taxable income or lossThe median taxable income or loss of the postcodeCount of salary or wagesThe number of individuals reporting salary or wages in the postcodeAverage salary and wagesThe average salary or wages of the postcodeMedian salary and wagesThe median salary or wages of the postcodeCount net rentThe number of individuals reporting net rent in the postcodeAverage net rentThe average net rent in the postcodeMedian net rentThe median net rent in the postcodeCount total income or lossThe number of individuals reporting total income or loss in the postcodeAverage total income or lossThe average total income or loss of the postcodeMedian total income or lossThe median total income or loss of the postcodeCount total deductionsCount of individuals reporting total deductions in the postcodeAverage total deductionsThe average total deductions of the postcodeMedian total deductionsThe median total deductions of the postcodeCount total business incomeThe number of individuals reporting business income in the postcodeAverage total business incomeThe average total business income in the postcodeMedian total business incomeThe median total business income in the postcodeCount total business expensesThe number of individuals reporting business expenses in the postcodeAverage total business expensesThe average business expenses in the postcodeMedian total business expensesThe median business expenses in the postcodeCount net taxThe number of individuals with net tax in the postcodeAverage net taxThe average net tax in the postcodeMedian net taxThe median net tax in the postcodeCount super total accounts balanceThe total number of super accounts in the postcodeAverage super total accounts balanceThe average balance of super accounts in the postcodeMedian super total accounts balanceThe median balance of super accounts in the postcodePostcodesThe postcode affiliated with that areaSHAPE_LengthLength of polygon outlineSHAPE_AreaArea of the polygon.ContactAustralian Taxation Office, taxstats@ato.gov.au

  15. s

    Airbnb Commission Revenue By Region

    • searchlogistics.com
    Updated Mar 17, 2025
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    (2025). Airbnb Commission Revenue By Region [Dataset]. https://www.searchlogistics.com/learn/statistics/airbnb-statistics/
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    Dataset updated
    Mar 17, 2025
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This is the complete breakdown of how much revenue Airbnb makes in commission from listings in each region.

  16. a

    Taxation Statistics 2015-16

    • digital.atlas.gov.au
    Updated Dec 19, 2019
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    Digital Atlas of Australia (2019). Taxation Statistics 2015-16 [Dataset]. https://digital.atlas.gov.au/datasets/taxation-statistics-2015-16
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    Dataset updated
    Dec 19, 2019
    Dataset authored and provided by
    Digital Atlas of Australia
    License

    Attribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
    License information was derived automatically

    Area covered
    Description

    AbstractTaxation statistics 2015-16 presents an overview of the different taxes administered. These statistics look at the tax returns and related schedules for the 2015-16 income year for individuals, companies, superannuation (super) funds, partnerships and trusts.The dataset was compiled for the annual publication, Taxation Statistics, the ATO’s key statistical report. It provides a comprehensive statistical summary of information taxpayers report to the ATO. It includes information sourced from:The income tax returns of individuals, companies, super funds, partnerships and trusts.Annual returns for fringe benefits tax (FBT) and goods and services tax (GST).Business activity statements (BAS) and instalment activity statements (IAS).Schedules for rental properties, capital gains tax (CGT) and international dealings.Superannuation member contribution statements (MCS).Other information reported to the ATO in relation to excise, the pay as you go (PAYG) system, and charitable institutions.Previous versions of this dataset are available on the Australian Government open government data portal data.gov.auCurrencyDate Published: 19 December 2019Date Updated: 12 June 2024Modification Frequency: As neededData ExtentGeocentric Datum of Australia 1994 (GDA94)Spatial ExtentNorth: -9.1°South: -43.6°East: 159.1°West: 96.8°Source InformationData and Metadata are available from Taxation Statistics 2015-16 - Dataset - data.gov.auThe data was obtained from the Australian Taxation Office.Catalog Entry: Taxation Statistics 2015-16 - Dataset - Data.gov.auLineage StatementThis layer was put together using two datasets. Australian taxation and income data provided by the Australian Taxation Office (ATO), was joined to the 2011 Postal Areas shapefile provided by the Australian Bureau of Statistics (ABS).Postal AreasPostal Areas (POA) are an ABS Mesh Block approximation of a general definition of postcodes. They enable comparison of ABS data with other data collected using postcodes as the geographic reference. ABS approximations of administrative boundaries do not match official legal boundaries exactly and should only be used for statistical purposes.Data and geography referencesSource data publication:Australian Statistical Geography Standard (ASGS): Volume 3 - Non ABS Structures, July 2011Further information: Australian Statistical Geography Standard (ASGS): Volume 3 - Non ABS Structures, July 2011 – Explanatory NotesSource:Australian Bureau of Statistics (ABS)Data PreparationThe CSV was joined to the POA geographies using the 4 digit postcode. For the CSV, it was exported as a file geodatabase and a new field had to be generated where the postcodes were entered as text data to maintain the leading zeroes. The new text postcode field was then joined to the ABS POA_Name field.All data manipulations, joins, and spatial operations were performed using ArcGIS Pro 3.4.3.Data dictionaryAttribute nameDescriptionAREA_SQKMThe area in square kilometres of the postcodeCount taxable income or lossThe number of individuals reporting taxable income or loss in the postcodeAverage taxable income or lossThe average taxable income or loss of the postcodeMedian taxable income or lossThe median taxable income or loss of the postcodeCount salary and wagesThe number of individuals reporting salary or wages in the postcodeThe number of individuals reporting salary or wages in the postcodeAverage salary and wagesThe average salary or wages of the postcodeMedian salary and wagesThe median salary or wages of the postcodeCount net rentThe number of individuals reporting net rent in the postcodeAverage net rentThe average net rent in the postcodeMedian net rentThe median net rent in the postcodeCount total income or lossThe number of individuals reporting total income or loss in the postcodeAverage total income or lossThe average total income or loss of the postcodeMedian total income or lossThe median total income or loss of the postcodeCount total deductionsCount of individuals reporting total deductions in the postcodeAverage total deductionsThe average total deductions of the postcodeMedian total deductionsThe median total deductions of the postcodeCount total business incomeThe number of individuals reporting business income in the postcodeAverage total business incomeThe average total business income in the postcodeMedian total business incomeThe median total business income in the postcodeCount total business expensesThe number of individuals reporting business expenses in the postcodeAverage total business expensesThe average total business income in the postcodeMedian total business expensesThe median total business income in the postcodeCount net taxThe number of individuals with net tax in the postcodeAverage net taxThe average net tax in the postcodeMedian net taxThe median net tax in the postcodeCount super total accounts balanceThe total number of super accounts in the postcodeAverage super total accounts balanceThe average balance of super accounts in the postcodeMedian superannuation total accounts balanceThe median balance of super accounts in the postcodePostcodesThe postcode affiliated with that areaSHAPE_LengthLength of polygon outlineSHAPE_AreaArea of the polygonContactAustralian Taxation Office, taxstats@ato.gov.au

  17. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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(2013). Households in 30% Housing Stress - Dataset - data.sa.gov.au [Dataset]. https://data.sa.gov.au/data/dataset/households-in-30-housing-stress
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Households in 30% Housing Stress - Dataset - data.sa.gov.au

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Dataset updated
May 28, 2013
Dataset provided by
Government of South Australiahttp://sa.gov.au/
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Area covered
South Australia
Description

Housing Affordability Supply and Demand Data. Number of South Australian households paying more than 30% of their household income on housing (rent or mortgage) broken down by very low, low and moderate income brackets. This dataset relates to section 4, Housing Stress, of the Affordability master reports produced by the SA Housing Authority. Each master report covers one Local Government Area and is entitled ‘Housing Affordability – Demand and Supply by Local Government Area’. The Demand for Supply for LGA reports are available online at: https://data.sa.gov.au/data/dataset/housing-affordability-demand-and-supply-by-local-government-area Explanatory Notes: Data sourced from the Australian Bureau of Statistics (ABS), Census for Population and Housing and it is updated every 5 years in line with the ABS Census. The nature of the income imputation means that the reported proportion may significantly overstate the true proportion. Census housing stress data is best used in comparing results over Censuses (ie did it increase or decrease in an area) rather than using it to ascertain what proportion of households were in rental stress. Income bands are based on household income. High income households can also experience rental stress. These households are included in the total but not identified separately. Data is representative of households in very low, low and moderate income brackets. Please note that 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.

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