The AGHDS is a confidentialised unit record file that provides point in time data for income units in receipt of Centrelink social security payments and families receiving Family Tax Benefit (FTB) Part A.
Combines information from numerous Centrelink files to create records at an income unit level, rather than person or household level. An income unit consists of a person, the person’s partner, and any children for whom the couple may receive FTB Part A. Single social security recipients living together in the same household are regarded as separate income units. One person in each income unit is classified as the primary reference person based on sex and the type of payment received. Includes information about type of housing, amount of weekly income, payment type and other characteristics of income units.
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License information was derived automatically
Housing register, tenancy, dwelling and financial information on public, community and Indigenous housing programs; and private rental market and home purchase assistance provided.
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
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Waitlist, tenancy, dwelling and financial information on public, community and Indigenous housing programs; and private rental market and home purchase assistance provided.
https://dataverse.ada.edu.au/api/datasets/:persistentId/versions/1.5/customlicense?persistentId=doi:10.26193/SLCU9Jhttps://dataverse.ada.edu.au/api/datasets/:persistentId/versions/1.5/customlicense?persistentId=doi:10.26193/SLCU9J
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Housing register, tenancy, dwelling and financial information on public, community and Indigenous housing programs; and private rental market and home purchase assistance provided.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Waitlist, tenancy, dwelling and financial information on public, community and Indigenous housing programs; and private rental market and home purchase assistance provided.\r
Health profile of King County Housing Authority and Seattle Housing Authority residents
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Housing register, tenancy, dwelling and financial information on public, community and Indigenous housing programs; and private rental market and home purchase assistance provided.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Housing register, tenancy, dwelling and financial information on public, community and Indigenous housing programs; and private rental market and home purchase assistance provided\r
The Connecticut Housing Data Hub is a public resource developed by the Office of Policy and Management (OPM), Department of Housing (DOH), and Department of Economic and Community Development (DECD).Data available on this site includes permitting and demolition data from DECD, housing stock from the American Community Survey, and data on affordable housing collected by DOH.
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License information was derived automatically
Data collected as part of the City of Melbourne's Census of Land Use and Employment (CLUE). The data covers the period 2002-2023. The dwelling data is based on the Council's property rates database, using a simplified classification schema of Residential Apartment, House/Townhouse and Student Apartment. The count of dwellings per residential building is shown.
For more information about CLUE see http://www.melbourne.vic.gov.au/clue
<p class="gem-c-attachment_metadata"><span class="gem-c-attachment_attribute"><abbr title="Comma-separated Values" class="gem-c-attachment_abbr">CSV</abbr></span>, <span class="gem-c-attachment_attribute">48.7 MB</span></p>
<p class="gem-c-attachment_metadata"><a class="govuk-link" aria-label="View Local Authority Housing Statistics open data 1978-79 to 2023-24 online" href="/media/6853e03c1203c00468ba2ae2/LAHS_open_data_1978-79_to_2023-24.csv/preview">View online</a></p>
<p class="gem-c-attachment_metadata"><span class="gem-c-attachment_attribute"><abbr title="OpenDocument Spreadsheet" class="gem-c-attachment_abbr">ODS</abbr></span>, <span class="gem-c-attachment_attribute">15.3 MB</span></p>
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This file is in an <a href="https://www.gov.uk/guidance/using-open-document-formats-odf-in-your-organisation" target="_self" class="govuk-link">OpenDocument</a> format
Notes on Local Authority Housing Statistics (LAHS) open data
These datafiles contain the underlying data used to create the main LAHS tables and reflect the latest revisions to historical LAHS data. There will therefore be some minor discrepancies when compared to individual historical publications of LAHS tables.
LAHS questions are represented in this open data file by the question codes as recorded in the latest form (the 2023-24 return). This may differ from the code they were originally assigned, but the aim is to facilitate a time series analysis. Variables that have been discontinued are usually not included in this file, with only a few exceptions where they provide information that helps understand other data.
A data dictionary for this open data can be found in the accessible Open Document Spreadsheet file
The U.S. Department of Housing and Urban Development (HUD) periodically receives "custom tabulations" of Census data from the U.S. Census Bureau that are largely not available through standard Census products. These datasets, known as "CHAS" (Comprehensive Housing Affordability Strategy) data, demonstrate the extent of housing problems and housing needs, particularly for low income households. The primary purpose of CHAS data is to demonstrate the number of households in need of housing assistance. This is estimated by the number of households that have certain housing problems and have income low enough to qualify for HUD’s programs (primarily 30, 50, and 80 percent of median income). CHAS data provides counts of the numbers of households that fit these HUD-specified characteristics in a variety of geographic areas. In addition to estimating low-income housing needs, CHAS data contributes to a more comprehensive market analysis by documenting issues like lead paint risks, "affordability mismatch," and the interaction of affordability with variables like age of homes, number of bedrooms, and type of building.This dataset is a special tabulation of the 2016-2020 American Community Survey (ACS) and reflects conditions over that time period. The dataset uses custom HUD Area Median Family Income (HAMFI) figures calculated by HUD PDR staff based on 2016-2020 ACS income data. CHAS datasets are used by Federal, State, and Local governments to plan how to spend, and distribute HUD program funds. To learn more about the Comprehensive Housing Affordability Strategy (CHAS), visit: https://www.huduser.gov/portal/datasets/cp.html, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. To learn more about the American Community Survey (ACS), and associated datasets visit: https://www.census.gov/programs-surveys/acs Data Dictionary: DD_ACS 5-Year CHAS Estimate Data by County Date of Coverage: 2016-2020
Information on median gross rents
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Waitlist, tenancy, dwelling and financial information on public, community and Indigenous housing programs; and private rental market and home purchase assistance provided.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
This tool is a searchable data catalogue containing links to a range of official statistics on housing. It forms a part of the ONS Housing Statistics Portal.
Data from live tables 120, 122, and 123 is also published as http://opendatacommunities.org/def/concept/folders/themes/housing-market" class="govuk-link">Open Data (linked data format).
<p class="gem-c-attachment_metadata"><span class="gem-c-attachment_attribute"><abbr title="OpenDocument Spreadsheet" class="gem-c-attachment_abbr">ODS</abbr></span>, <span class="gem-c-attachment_attribute">492 KB</span></p>
<p class="gem-c-attachment_metadata">
This file is in an <a href="https://www.gov.uk/guidance/using-open-document-formats-odf-in-your-organisation" target="_self" class="govuk-link">OpenDocument</a> format
<p class="gem-c-attachment_metadata"><span class="gem-c-attachment_attribute"><abbr title="OpenDocument Spreadsheet" class="gem-c-attachment_abbr">ODS</abbr></span>, <span class="gem-c-attachment_attribute">13.4 KB</span></p>
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This file is in an <a href="https://www.gov.uk/guidance/using-open-document-formats-odf-in-your-organisation" target="_self" class="govuk-link">OpenDocument</a> format
Open Data Commons Attribution License (ODC-By) v1.0https://www.opendatacommons.org/licenses/by/1.0/
License information was derived automatically
Birmingham housing data from the American Community Survey (ACS)
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Housing register, tenancy, dwelling and financial information on public, community and Indigenous housing programs; and private rental market and home purchase assistance provided.
The AGHDS is a confidentialised unit record file that provides point in time data for income units in receipt of Centrelink social security payments and families receiving Family Tax Benefit (FTB) Part A.
Combines information from numerous Centrelink files to create records at an income unit level, rather than person or household level. An income unit consists of a person, the person’s partner, and any children for whom the couple may receive FTB Part A. Single social security recipients living together in the same household are regarded as separate income units. One person in each income unit is classified as the primary reference person based on sex and the type of payment received. Includes information about type of housing, amount of weekly income, payment type and other characteristics of income units.