A survey conducted in 2024 revealed that as of September of that year, around **** percent of Australian owner-occupier mortgage holders were at risk of mortgage repayment stress due to interest rate increases. The share of respondents at extreme risk amounted to approximately **** percent.

The average price of Australian residential property has risen over the past ten years, and in June 2025, it reached over one million Australian dollars. Nonetheless, property experts in Australia have indicated that the country has been in a property bubble over the past decade, with some believing the market will collapse sometime in the near future. Property prices started declining in 2022; however, a gradual upward trend was witnessed throughout 2023, with minor fluctuations in 2024. Australian capital city price differences While the national average residential property price has exhibited growth, individual capital cities display diverse trends, highlighting the complexity of Australia’s property market. Sydney maintains its position as the most expensive residential property market across Australia's capital cities, with a median property value of approximately 1.19 million Australian dollars as of April 2025. Brisbane has emerged as an increasingly pricey capital city for residential property, surpassing both Canberra and Melbourne in median housing values. Notably, Perth experienced the most significant annual increase in its average residential property value, with a 10 percent increase from April 2024, despite being a comparably more affordable market. Hobart and Darwin remain the most affordable capital cities for residential properties in the country. Is the homeownership dream out of reach? The rise in property values coincides with the expansion of Australia's housing stock. In the June quarter of 2025, the number of residential dwellings reached around 11.37 million, representing an increase of about 53,600 dwellings from the previous quarter. However, this growth in housing supply does not necessarily translate to increased affordability or accessibility for many Australians. The country’s house prices remain largely disproportional to income, leaving the majority of low- and middle-income earners priced out of the market. Alongside this, elevated mortgage interest rates in recent years have made taking out a loan increasingly unappealing for many potential property owners, and the share of mortgage holders at risk of mortgage repayment stress has continued to climb.

This dataset, released December 2017, contains housing and transport statistics relating to the Households in dwellings receiving rent assistance from the Australian Government, June 2016; Dwellings rented from the government housing authority, 2016; Dwellings rented by households from a housing co-operative, community or church group, June 2016; Low income households with mortgage stress, 2016; Low income households with rental stress, 2016; Low income households under financial stress from …Show full descriptionThis dataset, released December 2017, contains housing and transport statistics relating to the Households in dwellings receiving rent assistance from the Australian Government, June 2016; Dwellings rented from the government housing authority, 2016; Dwellings rented by households from a housing co-operative, community or church group, June 2016; Low income households with mortgage stress, 2016; Low income households with rental stress, 2016; Low income households under financial stress from mortgage or rent, 2016; Low income households, 2016; Housing suitability, 2016; Private dwellings with no motor vehicle, 2016. The data is by Local Government Area (LGA) 2016 geographic boundaries. For more information please see the data source notes on the data. Source: Compiled by PHIDU based on the ABS Census of Population and Housing, August 2016; the Department of Human Services, June 2016; and the ABS Census: Dwellings, 2011. Please note: AURIN has spatially enabled the original data. "*" - Indicates statistically significant, at the 95% confidence level. "**" - Indicates statistically significant, at the 99% confidence level. "~" - Indicates modelled estimates have Relative Root Mean Square Errors (RRMSEs) from 0.25 to 0.50 and should be used with caution. "~~" - Indicates modelled estimates have RRMSEs greater than 0.50 but less than 1 and are considered too unreliable for general use. '?' - Indicates modelled estimates are considered too unreliable. Blank cell - Indicates data was not shown/not applicable/not published/not available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data). Copyright attribution: Torrens University Australia - Public Health Information Development Unit, (2018): ; accessed from AURIN on 12/3/2020. Licence type: Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Australia (CC BY-NC-SA 3.0 AU)

The average price of Australian residential property has risen over the past ten years, and in December 2024, it reached 976,800 Australian dollars. Nonetheless, property experts in Australia have indicated that the country has been in a property bubble over the past decade, with some believing the market will collapse sometime in the near future. Property prices started declining in 2022; however, a gradual upward trend was witnessed throughout 2023, with minor fluctuations in 2024. Australian capital city price differences While the national average residential property price has exhibited growth, individual capital cities display diverse trends, highlighting the complexity of Australia’s property market. Sydney maintains its position as the most expensive residential property market across Australia's capital cities, with a median property value of approximately 1.19 million Australian dollars as of April 2025. Brisbane has emerged as an increasingly pricey capital city for residential property, surpassing both Canberra and Melbourne in median housing values. Notably, Perth experienced the most significant annual increase in its average residential property value, with a 10 percent increase from April 2024, despite being a comparably more affordable market. Hobart and Darwin remain the most affordable capital cities for residential properties in the country. Is the homeownership dream out of reach? The rise in property values coincides with the expansion of Australia's housing stock. In the December quarter of 2024, the number of residential dwellings reached around 11.29 million, representing an increase of about 53,200 dwellings from the previous quarter. However, this growth in housing supply does not necessarily translate to increased affordability or accessibility for many Australians. The country’s house prices remain largely disproportional to income, leaving the majority of low- and middle-income earners priced out of the market. Alongside this, elevated mortgage interest rates in recent years have made taking out a loan increasingly unappealing for many potential property owners, and the share of mortgage holders at risk of mortgage repayment stress has continued to climb.

This dataset, released November 2018, contains housing and transport statistics relating to the Households in dwellings receiving rent assistance from the Australian Government, June 2017; Dwellings rented from the government housing authority, 2016; Dwellings rented by households from a housing co-operative, community or church group, June 2016; Low income households with mortgage stress, 2016; Low income households with rental stress, 2016; Low income households under financial stress from mortgage or rent, 2016; Low income households, 2016; Housing suitability, 2016; Private dwellings with no motor vehicle, 2016. The data is by Primary Health Network (PHN) 2017 geographic boundaries based on the 2016 Australian Statistical Geography Standard (ASGS).

There are 31 PHNs set up by the Australian Government. Each network is controlled by a board of medical professionals and advised by a clinical council and community advisory committee. The boundaries of the PHNs closely align with the Local Hospital Networks where possible.

For more information please see the data source notes on the data.

Source: Compiled by PHIDU based on data from the Department of Social Services, June 2017; ABS Census of Population and Housing, August 2016; and the ABS Census: Dwellings, 2016.

AURIN has spatially enabled the original data. Data that was not shown/not applicable/not published/not available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells. For other keys and abbreviations refer to PHIDU Keys.

This dataset, released November 2018, contains housing and transport statistics relating to the Households in dwellings receiving rent assistance from the Australian Government, June 2017; Dwellings …Show full descriptionThis dataset, released November 2018, contains housing and transport statistics relating to the Households in dwellings receiving rent assistance from the Australian Government, June 2017; Dwellings rented from the government housing authority, 2016; Dwellings rented by households from a housing co-operative, community or church group, June 2016; Low income households with mortgage stress, 2016; Low income households with rental stress, 2016; Low income households under financial stress from mortgage or rent, 2016; Low income households, 2016; Housing suitability, 2016; Private dwellings with no motor vehicle, 2016. The data is by Population Health Area (PHA) 2016 geographic boundaries based on the 2016 Australian Statistical Geography Standard (ASGS). Population Health Areas, developed by PHIDU, are comprised of a combination of whole SA2s and multiple (aggregates of) SA2s, where the SA2 is an area in the ABS structure. For more information please see the data source notes on the data. Source: Compiled by PHIDU based on data from the Department of Social Services, June 2017; ABS Census of Population and Housing, August 2016; and the ABS Census: Dwellings, 2016. Please note: AURIN has spatially enabled the original data. "*" - Indicates statistically significant, at the 95% confidence level. "**" - Indicates statistically significant, at the 99% confidence level. "~" - Indicates modelled estimates have Relative Root Mean Square Errors (RRMSEs) from 0.25 to 0.50 and should be used with caution. "~~" - Indicates modelled estimates have RRMSEs greater than 0.50 but less than 1 and are considered too unreliable for general use. '?' - Indicates modelled estimates are considered too unreliable. Blank cell - Indicates data was not shown/not applicable/not published/not available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data). Copyright attribution: Torrens University Australia - Public Health Information Development Unit, (2018): ; accessed from AURIN on 12/3/2020. Licence type: Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Australia (CC BY-NC-SA 3.0 AU)

This dataset, released November 2018, contains housing and transport statistics relating to the Households in dwellings receiving rent assistance from the Australian Government, June 2017; Dwellings rented from the government housing authority, 2016; Dwellings rented by households from a housing co-operative, community or church group, June 2016; Low income households with mortgage stress, 2016; Low income households with rental stress, 2016; Low income households under financial stress from mortgage or rent, 2016; Low income households, 2016; Housing suitability, 2016; Private dwellings with no motor vehicle, 2016. The data is by Population Health Area (PHA) 2016 geographic boundaries based on the 2016 Australian Statistical Geography Standard (ASGS). Population Health Areas, developed by PHIDU, are comprised of a combination of whole SA2s and multiple (aggregates of) SA2s, where the SA2 is an area in the ABS structure. For more information please see the data source notes on the data. Source: Compiled by PHIDU based on data from the Department of Social Services, June 2017; ABS Census of Population and Housing, August 2016; and the ABS Census: Dwellings, 2016. AURIN has spatially enabled the original data. Data that was not shown/not applicable/not published/not available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells. For other keys and abbreviations refer to PHIDU Keys.

Dwellings without a motor vehicle, renting from government housing authorities, under mortgage or rental stress by SD, 2011. Copyright attribution: Torrens University Australia - Public Health …Show full descriptionDwellings without a motor vehicle, renting from government housing authorities, under mortgage or rental stress by SD, 2011. Copyright attribution: Torrens University Australia - Public Health Information Development Unit, (2014): ; accessed from AURIN on 12/3/2020. Licence type: Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Australia (CC BY-NC-SA 3.0 AU)

Dwellings without a motor vehicle, renting from government housing authorities, receiving rent assistance, under mortgage or rental stress by SA2, 2011 and 2013 (for rent assistance data). Rent …Show full descriptionDwellings without a motor vehicle, renting from government housing authorities, receiving rent assistance, under mortgage or rental stress by SA2, 2011 and 2013 (for rent assistance data). Rent assistance data are derived from Population Health Area (PHA) data. PHAs are comprised of one or more whole SA2s. A full listing of SA2s and what percentage of their corresponding PHA has been allocated to them can be found at the following link: http://publichealth.gov.au/AURIN/phidu_PHA_to_SA2_concordance.xls Copyright attribution: Torrens University Australia - Public Health Information Development Unit, (2014): ; accessed from AURIN on 12/3/2020. Licence type: Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Australia (CC BY-NC-SA 3.0 AU)

This dataset presents data on family and community available from the ABS Data by Region statistics. This release of Data by Region presents various data for 2011-2018 and Census of Population and Housing data for 2011 and 2016 and is based on the Local Government Area (LGA) 2019 boundaries. The dataset includes information in the following specified areas of family and community: Gifts/Donations Reported by Taxpayers, Method of Travel to Work, Households, Families, Count of All Children in Family, Social Marital Status & Registered Marital Status, Unpaid Work, Access to Internet at Home, Housing Suitability, Dwelling Structure, Tenure Type, Rent and Mortgage Payments, Housing Stress, Commuting to Work and Socio Economic Indexes of Areas (SEIFA). Data by Region contains a standard set of data for each region type, depending on the availability of statistics for particular geographies. Data are sourced from a wide variety of collections, both ABS and non-ABS. When analysing these statistics, care needs to be taken as time periods, definitions, methodologies, scope and coverage can differ across collections. Where available, data have been presented as a time series - to enable users to assess changes over time. However, when looked at on a period to period basis, some series may sometimes appear volatile. When analysing the data, users are encouraged to consider the longer term behaviour of the series, where this extra information is available. For more information please visit the Explanatory Notes.

This dataset presents data on family and community available from the ABS Data by Region statistics. This release of Data by Region presents various data for 2011-2018 and Census of Population and Housing data for 2011 and 2016 and is based on the Statistical Area 4 (SA4) 2016 boundaries. The dataset includes information in the following specified areas of family and community: Gifts/Donations Reported by Taxpayers, Method of Travel to Work, Households, Families, Count of All Children in Family, Social Marital Status & Registered Marital Status, Unpaid Work, Access to Internet at Home, Housing Suitability, Dwelling Structure, Tenure Type, Rent and Mortgage Payments, Housing Stress, Commuting to Work and Socio Economic Indexes of Areas (SEIFA). Data by Region contains a standard set of data for each region type, depending on the availability of statistics for particular geographies. Data are sourced from a wide variety of collections, both ABS and non-ABS. When analysing these statistics, care needs to be taken as time periods, definitions, methodologies, scope and coverage can differ across collections. Where available, data have been presented as a time series - to enable users to assess changes over time. However, when looked at on a period to period basis, some series may sometimes appear volatile. When analysing the data, users are encouraged to consider the longer term behaviour of the series, where this extra information is available. For more information please visit the Explanatory Notes. AURIN has made the following changes to the original data:

This dataset presents data on family and community available from the ABS Data by Region statistics. This release of Data by Region presents various data for 2011-2018 and Census of Population and Housing data for 2011 and 2016 and is based on the Statistical Area 4 (SA4) 2016 boundaries. The dataset includes information in the following specified areas of family and community: Gifts/Donations Reported by Taxpayers, Method of Travel to Work, Households, Families, Count of All Children in Family, Social Marital Status & Registered Marital Status, Unpaid Work, Access to Internet at Home, Housing Suitability, Dwelling Structure, Tenure Type, Rent and Mortgage Payments, Housing Stress, Commuting to Work and Socio Economic Indexes of Areas (SEIFA).

Data by Region contains a standard set of data for each region type, depending on the availability of statistics for particular geographies. Data are sourced from a wide variety of collections, both ABS and non-ABS. When analysing these statistics, care needs to be taken as time periods, definitions, methodologies, scope and coverage can differ across collections. Where available, data have been presented as a time series - to enable users to assess changes over time. However, when looked at on a period to period basis, some series may sometimes appear volatile. When analysing the data, users are encouraged to consider the longer term behaviour of the series, where this extra information is available.

For more information please visit the Explanatory Notes.

AURIN has made the following changes to the original data:

• Spatially enabled the original data with the ABS Australian Statistical Geography Standard (ASGS) SA4 2016 dataset.

• Some data values in Data by Region have been randomly adjusted or suppressed to avoid the release of confidential details.

• Where data was not available, not available for publication, nil or rounded to zero in the original data, it has been set to null.

• Columns and rows that did not contain any values in the original data have been removed.

This dataset presents data on family and community available from the ABS Data by Region statistics. This release of Data by Region presents various data for 2011-2018 and Census of Population and Housing data for 2011 and 2016 and is based on the Greater Capital City Statistical Area (GCCSA) 2016 boundaries. The dataset includes information in the following specified areas of family and community: Gifts/Donations Reported by Taxpayers, Method of Travel to Work, Households, Families, Count of All Children in Family, Social Marital Status & Registered Marital Status, Unpaid Work, Access to Internet at Home, Housing Suitability, Dwelling Structure, Tenure Type, Rent and Mortgage Payments, Housing Stress, Commuting to Work and Socio Economic Indexes of Areas (SEIFA).

Data by Region contains a standard set of data for each region type, depending on the availability of statistics for particular geographies. Data are sourced from a wide variety of collections, both ABS and non-ABS. When analysing these statistics, care needs to be taken as time periods, definitions, methodologies, scope and coverage can differ across collections. Where available, data have been presented as a time series - to enable users to assess changes over time. However, when looked at on a period to period basis, some series may sometimes appear volatile. When analysing the data, users are encouraged to consider the longer term behaviour of the series, where this extra information is available.

For more information please visit the Explanatory Notes.

AURIN has made the following changes to the original data:

• Spatially enabled the original data with the ABS Australian Statistical Geography Standard (ASGS) GCCSA 2016 dataset.

• Some data values in Data by Region have been randomly adjusted or suppressed to avoid the release of confidential details.

• Where data was not available, not available for publication, nil or rounded to zero in the original data, it has been set to null.

• Columns and rows that did not contain any values in the original data have been removed.

This dataset presents data on family and community available from the ABS Data by Region statistics. This release of Data by Region presents various data for 2011-2018 and Census of Population and Housing data for 2011 and 2016 and is based on the Local Government Area (LGA) 2019 boundaries. The dataset includes information in the following specified areas of family and community: Gifts/Donations Reported by Taxpayers, Method of Travel to Work, Households, Families, Count of All Children in Family, Social Marital Status & Registered Marital Status, Unpaid Work, Access to Internet at Home, Housing Suitability, Dwelling Structure, Tenure Type, Rent and Mortgage Payments, Housing Stress, Commuting to Work and Socio Economic Indexes of Areas (SEIFA).

Data by Region contains a standard set of data for each region type, depending on the availability of statistics for particular geographies. Data are sourced from a wide variety of collections, both ABS and non-ABS. When analysing these statistics, care needs to be taken as time periods, definitions, methodologies, scope and coverage can differ across collections. Where available, data have been presented as a time series - to enable users to assess changes over time. However, when looked at on a period to period basis, some series may sometimes appear volatile. When analysing the data, users are encouraged to consider the longer term behaviour of the series, where this extra information is available.

For more information please visit the Explanatory Notes.

AURIN has made the following changes to the original data:

• Spatially enabled the original data with the ABS Australian Statistical Geography Standard (ASGS) LGA 2019 dataset.

• Some data values in Data by Region have been randomly adjusted or suppressed to avoid the release of confidential details.

• Where data was not available, not available for publication, nil or rounded to zero in the original data, it has been set to null.

• Columns and rows that did not contain any values in the original data have been removed.

Dwellings without a motor vehicle, renting from government housing authorities, receiving rent assistance, under mortgage or rental stress by LGA 2011, for the year 2011 and 2013 (for rent assistance data).