Home Ownership Rate in Australia decreased to 66 percent in 2020 from 66.20 percent in 2018. This dataset provides the latest reported value for - Australia Home Ownership Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

A survey conducted among Australian adults in November 2024 reported that residents in Western Australia had the greatest average length of home ownership at 11 years.

While the share of Australian households occupied by homeowners without a mortgage has decreased overall since financial year 2001, the value has fluctuated in recent years to sit at 29.5 percent in financial year 2020. Homeowners in Australia have had to compete with rising housing related costs, with the high house price to income ratio in recent years.

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.

This statistic depicts the share of indigenous households that are home owners in Australia from 2006 to 2016. In 2016, around **** percent of households of Aboriginal and/or Torres Strait Islander origin owned a property outright or with a mortgage in Australia.

This dataset provides values for HOME OWNERSHIP RATE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Rental is Australia’s emerging tenure. Each year the proportion of Australians who rent increases, many of us will rent for life, and for the first time in generations there are now more renters than home owners. Though the rental sector is home to almost one-third of all Australians, researchers and policy-makers know little about conditions in this growing market because there is currently no systematic or reliable data. This project provides researchers and policy stakeholders with an essential database on Australia’s rental housing conditions. This data infrastructure will provide the knowledge base for national and international research and allow better urban, economic and social policy development. Building on The 2016 Australian Housing Conditions Dataset, in 2020 we collected data on the housing conditions of 15,000 rental households, covering all Australian states and territories. The project is funded by the Australian Research Council and The University of Adelaide, in partnership with the University of South Australia, the University of Melbourne, Swinburne University of Technology, Curtin University and Western Sydney University and is led by Professor Emma Baker at the University of Adelaide. The Australian Housing and Urban Research Institute provided funding for the focussed COVID-19 Module.

Percentage of Households: One Family: Couple with Dependent Children: Tenure & Landlord: Renter: State or Territory Housing Authority data was reported at 1.000 % in 2020. This records a decrease from the previous number of 1.200 % for 2018. Percentage of Households: One Family: Couple with Dependent Children: Tenure & Landlord: Renter: State or Territory Housing Authority data is updated yearly, averaging 1.400 % from Jun 2001 (Median) to 2020, with 11 observations. The data reached an all-time high of 2.400 % in 2001 and a record low of 0.700 % in 2016. Percentage of Households: One Family: Couple with Dependent Children: Tenure & Landlord: Renter: State or Territory Housing Authority data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.H042: Survey of Income and Housing: Percentage of Households: by Tenure & Landlord.

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.

This statistic depicts the share of indigenous households that own a home with a mortgage in Australia from 2006 to 2016. In 2016, around 25.9 percent of households of Aboriginal and/or Torres Strait Islander origin owned a property with a mortgage in Australia.

Australia Percentage of Households: Multiple Family: Tenure & Landlord: Owner with a Mortgage data was reported at 52.200 % in 2020. This records an increase from the previous number of 46.400 % for 2018. Australia Percentage of Households: Multiple Family: Tenure & Landlord: Owner with a Mortgage data is updated yearly, averaging 46.400 % from Jun 2004 (Median) to 2020, with 9 observations. The data reached an all-time high of 52.200 % in 2020 and a record low of 37.600 % in 2004. Australia Percentage of Households: Multiple Family: Tenure & Landlord: Owner with a Mortgage data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.H042: Survey of Income and Housing: Percentage of Households: by Tenure & Landlord.

Graph and download economic data for Real Residential Property Prices for Australia (QAUR628BIS) from Q1 1970 to Q4 2024 about Australia, residential, HPI, housing, real, price index, indexes, and price.

Housing serves many purposes in our society. It provides space for raising families, for leisure and rest, and increasingly, our housing doubles as a workspace. Housing also impacts our mental and physical health due to factors such as cold, mould, poorly managed maintenance issues, unaffordability, and inequality. Despite the centrality of housing in our everyday lives, we as researchers are yet to have a systematic understanding of Australian housing conditions and changes over time. Building on the earlier housing conditions projects in this series, including the Australian Housing Conditions Dataset (2016) and the Australian Rental Housing Conditions Dataset (2020), in 2022 we collected data on the housing conditions of 15,000 rental (including private and public) households and 7,500 homeowners, covering all Australian states and territories. Recognising the emerging importance of renting in Australia, the sampling was weighted to oversample rental households. This data infrastructure will provide the knowledge base for national and international research and allow better urban, economic and social policy development. The project is funded by the Australian Research Council through the Linkage Infrastructure, Equipment and Facilities (LIEF) grant program, in partnership with The University of Adelaide, the University of South Australia, the University of Melbourne, Swinburne University of Technology, Curtin University and Torrens University Australia and is led by Professor Emma Baker at the University of Adelaide.

This information was complied from the Australian Bureau of Statistics in Partial fullfilment of Coursework for the Master of Data Science taught at UNSW

Household income and wealth Australia, Building Activity Australia, Affordable Housing Database, National and Regional House Price Indices, Population Projections, Lending Indicators

Household income and wealth Australia ->https://www.abs.gov.au/statistics/economy/finance/household-income-and-wealth-australia/latest-release, Affordable Housing Database ->http://www.oecd.org/social/affordable-housing-database.htm, National and Regional House Price Indices ->https://stats.oecd.org/Index.aspx?DataSetCode=RHPI_TARGET, Population Projections ->https://stats.oecd.org/Index.aspx?DataSetCode=POPPROJ, Lending Indicators ->https://www.abs.gov.au/statistics/economy/finance/lending-indicators/apr-2021

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.

The WA Housing Authority has developed a model to estimate demand for social and affordable housing at the LGA level. This is a snapshot of unmet demand as of Census night, 2011. It is based on data from the 2011 Census, information from the WA Housing Authority, and WA State Government population projections. Data from all sources is combined and assessed to produce a priority ranking at the following levels: - Public Housing, metropolitan area (LGA level) - Affordable Housing, metropolitan area (LGA level) - Public Housing, regional WA (LGA level) - Affordable Housing, regional WA (LGA level) Detailed methodology for the model is shown here in the attached paper

Housing Index in Australia increased to 183.90 points in the fourth quarter of 2021 from 175.60 points in the third quarter of 2021. This dataset provides the latest reported value for - Australia House Price Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

ABS Census data extract - G01 SELECTED PERSON CHARACTERISTICS BY SEX providing a breakdown of population at Suburb level and by:age groupsaboriginal and/or Torres Strait Islander persons (a)birthplace (b) and (c)language used at home (d)age of persons attending an education institution (e)highest year of school completed (f)count of persons in occupied private dwellings (g)Count of persons in other dwellings (g) (h)This data is based on place of usual residence unless otherwise stated.(a) Applicable to persons who are of both Aboriginal and Torres Strait Islander origin.(b) Includes 'Australia', 'Australia (includes External Territories), nfd', 'Norfolk Island' and 'Australian External Territories, nec'.(c) Includes 'Inadequately described', and 'At sea'. Excludes not stated.(d) Includes 'Inadequately described' and 'Non-verbal, so described'. Excludes not stated.(e) Comprises 'Preschool', 'Primary' (including Government, Catholic, Other non-Government, Primary not further defined), 'Secondary' (including Government, Catholic, Other non-Government, Secondary not further defined) and 'Tertiary' (including vocational education (including TAFE and private training providers), university or other higher education, Tertiary not further defined). Excludes persons who did not state which type of education institution they were attending.(f) Applicable to persons aged 15 years and over.(g) Data is based on place of enumeration. Excludes overseas visitors.(h) Includes 'Visitors only' and 'Other non-classifiable' households, 'Non-private dwellings' and 'Migratory, off-shore and shipping' SA1s.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.

Graph and download economic data for Real Residential Property Prices for Australia (QAUR368BIS) from Q1 1971 to Q4 2024 about Australia, residential, housing, real, and price.

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.