10 datasets found
  1. g

    SA Housing Authority - Households in 30% Housing Stress | gimi9.com

    • gimi9.com
    Updated Dec 21, 2018
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    (2018). SA Housing Authority - Households in 30% Housing Stress | gimi9.com [Dataset]. https://gimi9.com/dataset/au_households-in-30-housing-stress/
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    Dataset updated
    Dec 21, 2018
    Description

    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.

  2. a

    SGSEP - Rental Affordability Index - All dwellings for Australia (Polygon)...

    • data.aurin.org.au
    Updated Mar 6, 2025
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    (2025). SGSEP - Rental Affordability Index - All dwellings for Australia (Polygon) Q1 2011-Q2 2021 - Dataset - AURIN [Dataset]. https://data.aurin.org.au/dataset/sgsep-sgs-rai-index-national-total-2021-na
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    Dataset updated
    Mar 6, 2025
    License

    Attribution-NonCommercial 2.0 (CC BY-NC 2.0)https://creativecommons.org/licenses/by-nc/2.0/
    License information was derived automatically

    Area covered
    Australia
    Description

    This dataset presents the Rental Affordability Index (RAI) for all dwellings. The data uses a single median income value for all of Australia (enabling comparisons across regions), and spans the quarters Q1 2011 to Q2 2021. The RAI covers all states with available data, the Northern Territory does not form part of this dataset. National Shelter, Bendigo Bank, The Brotherhood of St Laurence, and SGS Economics and Planning have released the RentalAffordability Index (RAI) on a biannual basis since 2015. Since 2019, the RAI has been released annually. It is generally accepted that if housing costs exceed 30% of a low-income household's gross income, the household is experiencing housing stress (30/40 rule). That is, housing is unaffordable and housing costs consume a disproportionately high amount of household income. The RAI uses the 30 per cent of income rule. Rental affordability is calculated using the following equation, where 'qualifying income' refers to the household income required to pay rent where rent is equal to 30% of income: RAI = (Median income ∕ Qualifying Income) x 100 In the RAI, households who are paying 30% of income on rent have a score of 100, indicating that these households are at the critical threshold for housing stress. A score of 100 or less indicates that households would pay more than 30% of income to access a rental dwelling, meaning they are at risk of experiencing housing stress. For more information on the Rental Affordability Index please refer to SGS Economics and Planning. The RAI is a price index for housing rental markets. It is a clear and concise indicator of rental affordability relative to household incomes, applied to geographic areas across Australia. AURIN has spatially enabled the original data using geometries provided by SGS Economics and Planning. Values of 'NA' in the original data have been set to NULL.

  3. r

    SAHA - Households in Housing Stress - Total (LGA) 2011

    • researchdata.edu.au
    null
    Updated Jun 26, 2019
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    Australian Urban Research Infrastructure Network (AURIN) (2019). SAHA - Households in Housing Stress - Total (LGA) 2011 [Dataset]. https://researchdata.edu.au/saha-households-housing-lga-2011/1429834
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    nullAvailable download formats
    Dataset updated
    Jun 26, 2019
    Dataset provided by
    Australian Urban Research Infrastructure Network (AURIN)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    This 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.

  4. g

    SA Housing Authority - Households in 50% Housing Stress | gimi9.com

    • gimi9.com
    Updated Jul 1, 2025
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    (2025). SA Housing Authority - Households in 50% Housing Stress | gimi9.com [Dataset]. https://gimi9.com/dataset/au_housing-stress-50-of-income/
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    Dataset updated
    Jul 1, 2025
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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.

  5. a

    SGSEP - Rental Affordability Index - 3 Bedroom dwellings for Capital Cities...

    • data.aurin.org.au
    Updated Mar 6, 2025
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    (2025). SGSEP - Rental Affordability Index - 3 Bedroom dwellings for Capital Cities (Polygon) Q1 2011-Q2 2021 - Dataset - AURIN [Dataset]. https://data.aurin.org.au/dataset/sgsep-sgs-rai-index-gcc-3bedroom-2021-na
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    Dataset updated
    Mar 6, 2025
    License

    Attribution-NonCommercial 2.0 (CC BY-NC 2.0)https://creativecommons.org/licenses/by-nc/2.0/
    License information was derived automatically

    Description

    This dataset presents the Rental Affordability Index (RAI) for 3 bedroom dwellings. The data uses different income values for each region within the Greater Capital Cities, and spans the quarters Q1 2011 to Q2 2021. The RAI covers all states with available data, the Northern Territory and Western Australia does not form part of this dataset. National Shelter, Bendigo Bank, The Brotherhood of St Laurence, and SGS Economics and Planning have released the RentalAffordability Index (RAI) on a biannual basis since 2015. Since 2019, the RAI has been released annually. It is generally accepted that if housing costs exceed 30% of a low-income household's gross income, the household is experiencing housing stress (30/40 rule). That is, housing is unaffordable and housing costs consume a disproportionately high amount of household income. The RAI uses the 30 per cent of income rule. Rental affordability is calculated using the following equation, where 'qualifying income' refers to the household income required to pay rent where rent is equal to 30% of income: RAI = (Median income ∕ Qualifying Income) x 100 In the RAI, households who are paying 30% of income on rent have a score of 100, indicating that these households are at the critical threshold for housing stress. A score of 100 or less indicates that households would pay more than 30% of income to access a rental dwelling, meaning they are at risk of experiencing housing stress. For more information on the Rental Affordability Index please refer to SGS Economics and Planning. The RAI is a price index for housing rental markets. It is a clear and concise indicator of rental affordability relative to household incomes, applied to geographic areas across Australia. AURIN has spatially enabled the original data using geometries provided by SGS Economics and Planning. Values of 'NA' in the original data have been set to NULL.

  6. a

    SGSEP - Rental Affordability Index - All dwellings for Capital Cities...

    • data.aurin.org.au
    Updated Mar 6, 2025
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    (2025). SGSEP - Rental Affordability Index - All dwellings for Capital Cities (Polygon) Q1 2011-Q2 2021 - Dataset - AURIN [Dataset]. https://data.aurin.org.au/dataset/sgsep-sgs-rai-index-gcc-total-2021-na
    Explore at:
    Dataset updated
    Mar 6, 2025
    License

    Attribution-NonCommercial 2.0 (CC BY-NC 2.0)https://creativecommons.org/licenses/by-nc/2.0/
    License information was derived automatically

    Description

    This dataset presents the Rental Affordability Index (RAI) for all dwellings. The data uses different income values for each region within the Greater Capital Cities, and spans the quarters Q1 2011 to Q2 2021. The RAI covers all states with available data, the Northern Territory does not form part of this dataset. National Shelter, Bendigo Bank, The Brotherhood of St Laurence, and SGS Economics and Planning have released the RentalAffordability Index (RAI) on a biannual basis since 2015. Since 2019, the RAI has been released annually. It is generally accepted that if housing costs exceed 30% of a low-income household's gross income, the household is experiencing housing stress (30/40 rule). That is, housing is unaffordable and housing costs consume a disproportionately high amount of household income. The RAI uses the 30 per cent of income rule. Rental affordability is calculated using the following equation, where 'qualifying income' refers to the household income required to pay rent where rent is equal to 30% of income: RAI = (Median Income ∕ Qualifying Income) x 100 In the RAI, households who are paying 30% of income on rent have a score of 100, indicating that these households are at the critical threshold for housing stress. A score of 100 or less indicates that households would pay more than 30% of income to access a rental dwelling, meaning they are at risk of experiencing housing stress. For more information on the Rental Affordability Index please refer to SGS Economics and Planning. The RAI is a price index for housing rental markets. It is a clear and concise indicator of rental affordability relative to household incomes, applied to geographic areas across Australia. AURIN has spatially enabled the original data using geometries provided by SGS Economics and Planning. Values of 'NA' in the original data have been set to NULL.

  7. d

    SHIP Affordable Housing 2010-2020

    • catalog.data.gov
    • healthdata.gov
    • +1more
    Updated Jun 21, 2025
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    opendata.maryland.gov (2025). SHIP Affordable Housing 2010-2020 [Dataset]. https://catalog.data.gov/dataset/ship-affordable-housing-2010-2016
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    Dataset updated
    Jun 21, 2025
    Dataset provided by
    opendata.maryland.gov
    Description

    Affordable Housing - This indicator shows the percentage of housing units sold that are affordable on the median teacher’s salary. Affordable housing can improve health by providing greater stability and reducing stress. Having affordable housing can allow family resources to be used for other needs like healthy food and healthcare. Link to Data Details

  8. a

    SGSEP - Rental Affordability Index - 3 Bedroom dwellings for Australia...

    • data.aurin.org.au
    Updated Mar 6, 2025
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    (2025). SGSEP - Rental Affordability Index - 3 Bedroom dwellings for Australia (Polygon) Q1 2011-Q2 2021 - Dataset - AURIN [Dataset]. https://data.aurin.org.au/dataset/sgsep-sgs-rai-index-national-3bedroom-2021-na
    Explore at:
    Dataset updated
    Mar 6, 2025
    License

    Attribution-NonCommercial 2.0 (CC BY-NC 2.0)https://creativecommons.org/licenses/by-nc/2.0/
    License information was derived automatically

    Area covered
    Australia
    Description

    This dataset presents the Rental Affordability Index (RAI) for 3 bedroom dwellings. The data uses a single median income value for all of Australia (enabling comparisons across regions), and spans the quarters Q1 2011 to Q2 2021. The RAI covers all states with available data, the Northern Territory does not form part of this dataset. National Shelter, Bendigo Bank, The Brotherhood of St Laurence, and SGS Economics and Planning have released the RentalAffordability Index (RAI) on a biannual basis since 2015. Since 2019, the RAI has been released annually. It is generally accepted that if housing costs exceed 30% of a low-income household's gross income, the household is experiencing housing stress (30/40 rule). That is, housing is unaffordable and housing costs consume a disproportionately high amount of household income. The RAI uses the 30 per cent of income rule. Rental affordability is calculated using the following equation, where 'qualifying income' refers to the household income required to pay rent where rent is equal to 30% of income: RAI = (Median income ∕ Qualifying Income) x 100 In the RAI, households who are paying 30% of income on rent have a score of 100, indicating that these households are at the critical threshold for housing stress. A score of 100 or less indicates that households would pay more than 30% of income to access a rental dwelling, meaning they are at risk of experiencing housing stress. For more information on the Rental Affordability Index please refer to SGS Economics and Planning. The RAI is a price index for housing rental markets. It is a clear and concise indicator of rental affordability relative to household incomes, applied to geographic areas across Australia. AURIN has spatially enabled the original data using geometries provided by SGS Economics and Planning. Values of 'NA' in the original data have been set to NULL.

  9. u

    Subjective measures on Housing - Catalogue - Canadian Urban Data Catalogue...

    • data.urbandatacentre.ca
    Updated Nov 14, 2023
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    (2023). Subjective measures on Housing - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://data.urbandatacentre.ca/dataset/subjective-measures-on-housing
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    Dataset updated
    Nov 14, 2023
    Description

    This indicator presents selected subjective measures based on poll survey data. The first set of measures presents reported levels of satisfaction with housing, whereas the second set presents reported measures of housing stress and housing insecurity. Housing standards can be subjective, and perceptions, as well as expectations, of the quality and affordability of housing and its environment can differ widely across individuals, countries and cultures. Perceptions of adequate housing may also depend on socio-demographic characteristics. For example, high-income households may have different and higher expectations in terms of housing quality than low-income households. Moreover, the perception of housing satisfaction is a dynamic process that can evolve over time (Satya Brink and Kathleen A. Johnston, (1979)). In all, an individual’s satisfaction with the area (s)he lives in is a subjective measure and there is no international definition that set out what an affordable house of good quality actually is (see Box 3. Conceptualising and measuring housing affordability from Balestra, C. and J. Sultan (OECD, 2013)). Subjective measures of housing can be an important complement to other measures of housing outcomes (OECD, 2013), and together can help better understand the determinants of housing satisfaction. In OECD countries, housing affordability is a main driver of residential satisfaction (Balestra, C. and J. Sultan (2013)). Neighbourhood characteristics, such as beauty, setting, access to public transport and the feeling of security, also exert a positive and significant effect on residential satisfaction. Overall, residential satisfaction has an important impact on people’s overall well-being.

  10. f

    Correlation coefficient values for the analyzed variables.

    • figshare.com
    • plos.figshare.com
    xls
    Updated May 17, 2024
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    Marlena Piekut (2024). Correlation coefficient values for the analyzed variables. [Dataset]. http://doi.org/10.1371/journal.pone.0303295.t002
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    xlsAvailable download formats
    Dataset updated
    May 17, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Marlena Piekut
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Correlation coefficient values for the analyzed variables.

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(2018). SA Housing Authority - Households in 30% Housing Stress | gimi9.com [Dataset]. https://gimi9.com/dataset/au_households-in-30-housing-stress/

SA Housing Authority - Households in 30% Housing Stress | gimi9.com

Explore at:
Dataset updated
Dec 21, 2018
Description

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.

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