As of June 2023, there were about ***** thousand public housing households in the state of New South Wales in Australia. At the same time, there were only *** thousand public housing properties in Australia's Northern Territory.

In 2022, there were almost *** thousand females in public housing in Australia, compared to around *** thousand males. There were also more females than males in community housing and State Owned and Managed Indigenous housing programs during the same year.

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

Datasets present number of new households housed in Public Housing (PH) and State Owned and Managed Indigenous Housing (SOMIH) across Local Government Areas (LGAs) in South Australia in a financial year.\r \r PH and SOMIH refers to dwellings owned and managed by the SA Housing Authority. These rentals are accessed by those on low income and/or with special needs. \r \r Strategies have been employed to mitigate the risk of releasing any identifying data, which may occur in smaller areas. \r \r Data specifications of measures and data quality statements for these files are maintained by the Australian Institute of Health and Welfare (AIHW) and available in their metadata online registry (METEOR), see https://meteor.aihw.gov.au/content/711016 and https://meteor.aihw.gov.au/content/749351 .

Social housing dwellings data are provided by state and territory housing authorities. The data are a snapshot of dwellings available on 30 June of the reference year. There is considerable diversity in the number and characteristics of dwellings in the main four social housing programs in Australia (public housing, state owned and managed Indigenous housing (SOMIH), community housing and Indigenous community housing). The diversity in the number and characteristics of available social housing dwellings stems partly from the sale and redevelopment or refurbishment of social housing dwellings across time. The information presented throughout this report provides insights into this diversity and serves as a snapshot of the condition and functioning of Australia’s social housing system and programs in 2021.

In 2018, the number of social housing dwellings for every one hundred households in Australia was approximately ***. From 2009 to 2018, the number of social housing dwellings for every one hundred households in Australia has appeared to gradually decrease.

Datasets present number of households residing in Public Housing (PH) and State Owned and Managed Indigenous Housing (SOMIH) across Local Government Areas (LGAs) in South Australia as at 30 June. PH and SOMIH refers to dwellings owned and managed by the SA Housing Authority. These rentals are accessed by those on low income and/or with special needs. Strategies have been employed to mitigate the risk of releasing any identifying data, which may occur in smaller areas. Data specifications of measures and data quality statements for these files are maintained by the Australian Institute of Health and Welfare (AIHW) and available in their metadata online registry (METEOR), see https://meteor.aihw.gov.au/content/711016 and https://meteor.aihw.gov.au/content/749351 .

In 2023, capital expenditure on all social housing in Australia amounted to around **** billion Australian dollars. This value has gradually increased since 2021.

Details of applications for social housing as at specified date, including type of assistance required, program type, application date and level of assessed housing need.

Note: 1) In 2019-20, the department implemented new technology information systems which has resulted in some changes to data structures and coding. Data comparison across years may be impacted. 2) Local Government Authority and State Electorate are determined based on the applicant's first locational preference.

Dataset

This dataset was created by Bhumit_Dev@ni

Contents

Local Government Areas were sorted by the proportion of Public Housing within their area. The 32 metropolitan LGAs were then used to form quartiles (8 LGAS in each). The 105 regional LGAS were used to form quartiles within the list of regional LGAs (26 in each) The LGAs are numbered and colour coded for identification.

In 2023, capital expenditure on all social housing in the Northern Territory in Australia amounted to ***** million Australian dollars. This marked a significant increase compared to the previous year.

This statistic depicts the share of indigenous households that rent social housing in Australia from 2006 to 2016. In 2016, around **** percent of households of Aboriginal and/or Torres Strait Islander origin rented social housing in Australia.

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)

The Crisis and Care Accommodation industry forms part of Australia's community welfare sector and provides services for some of the most economically vulnerable people in Australian society, including children, those with long-term disabilities and the elderly. Even before the COVID-19 pandemic and the cost-of-living crisis, a growing number of Australians were at increased risk of homelessness, with many experiencing financial hardship, persistent disadvantage and social exclusion. Stagnant wage growth in inflation-adjusted terms, heightened housing stress and associated incidences of family breakdown and family violence have boosted demand for crisis and care accommodation over the past few years. Given high inflation and rising rental costs, many of the industry’s clients have become increasingly vulnerable and their needs are also becoming more complex. Rising disability prevalence is creating additional challenges for residential care providers, with the Australian Bureau of Statistics finding that 5.5 million Australians had a disability in 2022 (latest data available). However, the ability to meet increased demand hasn't necessarily been matched by additional funding, constraining industry and profit growth. In light of these socio-economic variables and supply constraints, industry revenue growth is expected to be a modest 4.3% annualised over the five years through 2024-25 to $5.7 billion, including anticipated growth of 4.0% in the current year. Solid demand for residential care services will persist in the coming years, bolstered by a strong need for homelessness services as high rents and inflation exacerbate Australia’s housing crisis. An ageing population is set to continue driving demand for palliative care and respite services, while the existence of deep and persistent disadvantage among Australia’s most vulnerable population cohorts will continue to sustain demand for crisis and rehabilitation care. Government policies and associated regulatory reforms – including those stemming from the Royal Commission into Violence, Abuse, Neglect and Exploitation of People with Disability – will dictate the industry's operating environment. Industry growth rates will remain modest at 2.7% annualised through 2029-30, to reach $6.5 billion.

This dataset, released February 2021, contains housing and transport statistics relating to the Households in dwellings receiving rent assistance from the Australian Government, June 2020; Aboriginal households in dwellings receiving rent assistance from the Australian Government, June 2016; Persons living in rented social housing dwellings, 2016; Social housing (rented) dwellings, 2016; Persons living in privately rented dwellings, 2016; Privately rented dwellings, 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; Persons living in crowded dwellings, 2016; Persons living in severely crowded dwellings, 2016; Aboriginal persons living in crowded dwellings, 2016; Aboriginal persons living in severely crowded dwellings, 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 2020; and the ABS Census: Dwellings, 2016; Compiled by PHIDU based on data from the Department of Social Services, June 2016; and the ABS Census: Dwellings, 2016; Compiled by PHIDU based on the ABS Census of Population and Housing, August 2016; Compiled by PHIDU based on the ABS Census of Population and Housing, August 2016 (unpublished) data;

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.

There are two files: - nsw_property_data.csv - Property data in NSW from 2001 - 3rd of April 2023 - nsw_property_archived_data.csv - Property data in NSW from 1990 - 2000

Objective - Property data is difficult to come by these days. Luckily in New South Wales - Australia, the NSW State Government has provided public dataset of the transactional property sales data (See link below) - The objective is to create a clean / comprehensive dataset with historical information of the property information in NSW Australia, based on the raw data provided by the government - Please reach out to me to provide any feedbacks / improvements and I will try my best to update the dataset as soon as possible

Disclaimer - This is a personal, non-profit project that is intended for the public to access datasets, which can potentially help people make decisions when analysing on the property market.

Copyright - NSW Property Sales Data: © Updated 24/04/2023. Crown in right of NSW through the Valuer General 2023

Data Source NSW data source

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 3 (SA3) 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 spatially enabled the original data with the ABS Australian Statistical Geography Standard SA3 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 that did not contain any values for all years in the original data have been removed. AURIN has made the following changes to the original data:

• Spatially enabled the original data with the ABS Australian Statistical Geography Standard (ASGS) SA3 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, 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.

Australia wide dataset analysing housing requirements. Computed using ABS 2021 census data. Data contains the following attributes: Households Current unmet need Source of unmet need Composition of unmet need Current social housing Projected need by 2041 Data are available for multiple region types including: SA4 (2021) LGA (2022) State Electoral Divisions (2022) Commonwealth Electoral Divisions (2021) These data are released under a Creative Commons Attribution (CC BY 4.0) licence.