Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Percentage of households that stay in rented homes and accommodations, calculated at the Statistical Area level 2 (SA2) level for 2011 census with data sourced from ABS TableBuilder. Total number of rental households is the aggregate of two categories: 'Rented' and 'Being occupied rent-free' and the rental households percentage is calculated for the total number of occupied private dwellings with known tenure type.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Housing Affordability Supply and Demand Data. \r \r 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.\r \r 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’. \r \r 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\r \r Explanatory Notes:\r \r 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. \r \r 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.\r \r Income bands are based on household income.\r \r 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.\r \r 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.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Rent Inflation in Australia decreased to 4.50 percent in the second quarter of 2025 from 5.50 percent in the first quarter of 2025. This dataset includes a chart with historical data for Australia Rent Inflation.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Percentage of households that own their home, calculated at the Statistical Area level 2 (SA2) level for 2016 census with data sourced from ABS TableBuilder. Total number of 'owner' households is aggregate of four categories:'Owned Outright', 'Owned with a mortgage', 'Being purchased under a rent/buy scheme' and 'Being occupied under a life tenure scheme' and the owner households percentage is calculated for the total number of occupied private dwellings with known tenure type.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Housing Affordability Supply and Demand Data. Number of South Australian households paying more than 50% 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.
Facebook
TwitterThis dataset contains Housing Affordability Supply and Demand Data 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. Explanatory Notes: Data sourced from the Australian Bureau of Statistics (ABS), Census for Population and Housing …Show full descriptionThis dataset contains Housing Affordability Supply and Demand Data 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. 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. Field Definitions: LGA Name: 2011 Local Government Areas are an ABS approximation of officially gazetted LGAs as defined by each State and Territory Local Government Department. The boundaries produced for LGAs are constructed from allocations of whole Mesh Blocks and reviewed annually. Tenure Type: This is a consolidation of the census tenure and landlord types. The following definitions have been used: Rented: Private and not stated, this is comprised of rented dwellings (excluding rent free) where the Landlord type is a Real Estate Agent, Person not in the same household or where the Landlord type is not stated Rented: Other, this is comprised of rented dwellings (excluding rent free) where the Landlord type is Employer (Govt or other), Housing cooperative,community,church group, or Residential park (incl caravan parks and marinas) Rented: TOTAL, this is comprised of the sum of Rented: Public, Rented: Private and not stated, and Rented: Other landlord. Please note that this field should be excluded when summing the total households Other tenure types: this is comprised of dwellings that are owned outright, occupied rent free, occupied under a life tenure scheme, other tenure types and tenure type not stated. Total Households: this is comprised of the sum of Being purchased (incl rent,buy), Rented: TOTAL and Other tenure types. Total - Includes all South Australian households. Source: The data was downloaded from data.sa.gov.au and spatialised by the Adelaide Data Hub using the ABS 2011 Local Government Areas dataset. Copyright attribution: Government of South Australia - SA Housing Authority, (2014): . Accessed from AURIN Portal on 12/3/2020. Licence type: Creative Commons Attribution 4.0 International (CC BY 4.0)
Facebook
TwitterAttribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
License information was derived automatically
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
Facebook
TwitterAttribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
License information was derived automatically
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
Facebook
TwitterPercentage of households that stay in rented homes and accommodations calculated at the Statistical Area level 2 (SA2) level for 2011 census with data sourced from ABS Table Builder. Total number of rental households is the aggregate of two categories: 'Rented' and 'Being occupied rent-free' and the rental households percentage is calculated for the total number of occupied private dwellings with known tenure type. For more information refer to the UNSW City Futures Research Centre Copyright …Show full descriptionPercentage of households that stay in rented homes and accommodations calculated at the Statistical Area level 2 (SA2) level for 2011 census with data sourced from ABS Table Builder. Total number of rental households is the aggregate of two categories: 'Rented' and 'Being occupied rent-free' and the rental households percentage is calculated for the total number of occupied private dwellings with known tenure type. For more information refer to the UNSW City Futures Research Centre Copyright attribution: University of New South Wales - City Futures Research Centre, (2017): ; accessed from AURIN on 12/3/2020. Licence type: Creative Commons Attribution 2.5 Australia (CC BY 2.5 AU)
Facebook
TwitterAttribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
License information was derived automatically
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
Not seeing a result you expected?
Learn how you can add new datasets to our index.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Percentage of households that stay in rented homes and accommodations, calculated at the Statistical Area level 2 (SA2) level for 2011 census with data sourced from ABS TableBuilder. Total number of rental households is the aggregate of two categories: 'Rented' and 'Being occupied rent-free' and the rental households percentage is calculated for the total number of occupied private dwellings with known tenure type.