This dataset contains estimates of the prevalence of homelessness on Census night 2011, derived from the Census of Population and Housing using the Australian Bureau of Statistics (ABS) definition …Show full descriptionThis dataset contains estimates of the prevalence of homelessness on Census night 2011, derived from the Census of Population and Housing using the Australian Bureau of Statistics (ABS) definition of homelessness. Prevalence is an estimate of how many people experienced homelessness at a particular point-in-time. The ABS uses six homeless operational groups to present the estimates of homelessness. Estimates are also presented for selected groups of people who may be marginally housed and whose living arrangements are close to the statistical boundary of homelessness and who may be at risk of homelessness. Data is by SA3 2011 boundaries. Periodicity: 5 yearly. For more information visit the 'http://www.abs.gov.au/AUSSTATS/abs@.nsf/Lookup/2049.0Explanatory%20Notes12016?OpenDocument' 'target='_blank' >Australian Bureau of Statistics. Copyright attribution: Government of the Commonwealth of Australia - Australian Bureau of Statistics, (2018): ; accessed from AURIN on 12/16/2021. Licence type: Creative Commons Attribution 2.5 Australia (CC BY 2.5 AU)

Comprehensive dataset containing 78 verified Homeless shelter businesses in Australia with complete contact information, ratings, reviews, and location data.

This dataset presents the number of distinct specialist homeless services clients by client type, sex and age group. The client counts are based on the location where the client resided in the week …Show full descriptionThis dataset presents the number of distinct specialist homeless services clients by client type, sex and age group. The client counts are based on the location where the client resided in the week before their first support period in the financial year. Each client contributes only once, even if they had multiple support periods during the financial year. The data spans the financial years of 2014-15 to 2018-19 and is aggregated to 2016 Australian Statistical Geography Standard (ASGS) Greater Capital City Statistical Areas (GCCSA). The Specialist Homelessness Services Collection (SHSC) data accompanies the Specialist Homelessness Services Annual Report 2018-19. For further information about this dataset, visit the Australian Institute of Health and Welfare - SHSC Data Cubes User Guide. Notes: Caution should be used when comparing data for 2017-18 onwards with data for 2014-15 to 2016-17 in sub-state data cubes. Data for 2011-12 to 2016-17 at the state, territory and national levels are weighted to account for agency non-response and invalid statistical linkage keys (SLK), and have been rounded to the nearest integer. Due to improvements in agency response and rates of SLK validity, data from 2017–18 are no longer weighted. The removal of weighting does not constitute a break in time series, and these data are directly comparable with weighted counts for earlier years. As the weighting method is not suitable for sub-state units, the data in the sub-state cubes are not weighted. Clients are considered to be homeless if they are living in any of the following circumstances: No shelter or improvised dwelling, Short-term temporary accommodation, House, townhouse or flat (couch surfing or with no tenure). Clients are considered to be at risk of homelessness if they are living in any of the following circumstances: Public or community housing (renter or rent free), Private or other housing (renter, rent-free or owner), Institutional settings. AURIN has spatially enabled the original data and has set suppressed values (".") as Null. Copyright attribution: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare, (2019): ; accessed from AURIN on 12/16/2021. Licence type: Creative Commons Attribution 3.0 Australia (CC BY 3.0 AU)

This dataset presents the total number of distinct specialist homeless services clients. The client counts are based on the location where the client resided in the week before their first support …Show full descriptionThis dataset presents the total number of distinct specialist homeless services clients. The client counts are based on the location where the client resided in the week before their first support period in the financial year. Each client contributes only once, even if they had multiple support periods during the financial year. The data spans the financial years of 2014-15 to 2018-19 and is aggregated to 2018 Australian Statistical Geography Standard (ASGS) Local Government Areas (LGA). The Specialist Homelessness Services Collection (SHSC) data accompanies the Specialist Homelessness Services Annual Report 2018-19. For further information about this dataset, visit the Australian Institute of Health and Welfare - SHSC Data Cubes User Guide. Notes: Caution should be used when comparing data for 2017-18 onwards with data for 2014-15 to 2016-17 in sub-state data cubes. Data for 2011-12 to 2016-17 at the state, territory and national levels are weighted to account for agency non-response and invalid statistical linkage keys (SLK), and have been rounded to the nearest integer. Due to improvements in agency response and rates of SLK validity, data from 2017–18 are no longer weighted. The removal of weighting does not constitute a break in time series, and these data are directly comparable with weighted counts for earlier years. As the weighting method is not suitable for sub-state units, the data in the sub-state cubes are not weighted. Clients are considered to be homeless if they are living in any of the following circumstances: No shelter or improvised dwelling, Short-term temporary accommodation, House, townhouse or flat (couch surfing or with no tenure). Clients are considered to be at risk of homelessness if they are living in any of the following circumstances: Public or community housing (renter or rent free), Private or other housing (renter, rent-free or owner), Institutional settings. AURIN has spatially enabled the original data. Copyright attribution: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare, (2019): ; accessed from AURIN on 12/16/2021. Licence type: Creative Commons Attribution 3.0 Australia (CC BY 3.0 AU)

Note.*p < .05,**p < .01.SS = Self-satisfaction and PIS = Personal Identity Strength. Correlations are based on sample sizes varying from N = 38 to 44.Study 1c: Descriptive statistics and bivariate correlations for homeless adults in Australia.

This dataset presents the number of distinct specialist homeless services clients by client characteristics. The client counts are based on the location where the client resided in the week before …Show full descriptionThis dataset presents the number of distinct specialist homeless services clients by client characteristics. The client counts are based on the location where the client resided in the week before their first presentation of the 2018-19 financial year. The data is aggregated to 2016 Australian Statistical Geography Standard (ASGS) Statistical Area Level 4 (SA4). The Specialist Homelessness Services Collection (SHSC) data accompanies the Specialist Homelessness Services Annual Report 2018-19. For further information about this dataset, visit the Australian Institute of Health and Welfare - Technical Information. Notes: 'Homeless' status is derived for a client based on the client's housing circumstances at the beginning of their first support period within the reference year. All other clients not meeting these criteria are considered to be at risk of homelessness (excluding clients who did not provide sufficient information to make this assessment). Housing circumstances are determined based on the client's type of residence, tenure and conditions of occupancy. Rates are crude rates based on the Australian estimated resident population at 30 June of the reference year, as detailed in the online technical information. Includes clients from 'Other territories' and those that have not provided location information. Data presented have not been adjusted for partial or non-response (unweighted). Clients are assigned to a region based on where they lived in the week before presenting to a SHS agency. Clients are assigned to only one region, based on the location details provided in the first support period in the reference year. Regions are defined by the 2016 Australian Statistical Geography Standard (ASGS). AURIN has spatially enabled the original data and has excluded data from 'Unknown' SA4s. Copyright attribution: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare, (2019): ; accessed from AURIN on 12/16/2021. Licence type: Creative Commons Attribution 3.0 Australia (CC BY 3.0 AU)

A comparative study of the causes of new episodes of homelessness among people aged 50 or more years was undertaken in Boston, Massachusetts (USA), Melbourne, Australia, and four English cities. The aims were to make a substantial contribution to the predominantly American debate on the causes of homelessness, and to make practice recommendations for the improvement of prevention.

The study had several objectives. It aimed to collect information about the antecedents, triggers and risk factors for becoming homeless in later life and about the national and local policy and service contexts. Furthermore, the researchers aimed to analyse and interpret the findings with reference to an integrated model of the causes of homelessness that represented structural and policy factors, including housing, health and social service organisation and delivery factors, and personal circumstances, events, problems and dysfunctions. The aim was to do this collaboratively, by drawing on the project partners' experience and knowledge. Finally, it was hoped to develop recommendations for housing, primary health care and social welfare organisations for the prevention of homelessness. This was to be done by identifying the common sequences and interactions of events that precede homelessness and their markers (or 'early warning' indicators) and by holding workshops in England with practitioners and their representative organisations on new ways of working.

By the study of contrasting welfare and philanthropic regimes in a relatively homogeneous category of homeless incidence (i.e. recent cases among late middle-aged and older people), it was hoped that valuable insights into the relative contributions of the policy, service and personal factors would be obtained. The study focused on older people who had recently become homeless, purposely to gather detailed and reliable information about the prior and contextual circumstances. To have included people who had been homeless for several years would have reduced the quality of the data because of 'recall' problems.

Users should note that data from the Australian sample for the study are not included in this dataset.

The 2007 Australian Survey of Social Attitudes (AuSSA) is the third in a biennial series that studies social attitudes and behaviour of Australian citizens for the Australian and international research community. AuSSA provides cross-sectional data on the social attitudes and behaviour of Australians, repeating a core questionnaire for each cross-section and fielding specific modules relevant to the changing needs of the social research community. AuSSA is Australia's official survey in the International Social Survey Program and regularly includes ISSP modules. AuSSA 2007 uses three survey instruments (Version A, B and C) and includes both the ISSP's Role of Government and Leisure Time and Sports modules. The 2007 Survey includes attitudes and behaviours that are organised into thirty-five categories: Describing Australia; Leisure Time and Sports; Environment; Role of Government; Crime and Criminal Justice; Risk; Law and Authority; Politics and Media; Culture; Magistrates Court; Geographical Identity; Retirement; Industrial Relations; Culture and Society; Private Health Insurance; Place of Residence; Collective Memory; Financial Future; Religious Attitudes; Ned Kelly; Aboriginality; Government Regulation; Engagement with Asia; Work; Homelessness; The Sacred; Gender; IVF Technology and Sex Selection; Loneliness; Global Networks; Shopping; Politics and Society; Terrorism; People in General; and Membership of Organisations. AuSSA 2007 also includes demographic and behavioural categories (Personal Background and Your Partner) that survey: sex, year born, income, education, employment, union membership, languages spoken, birthplace, household composition and religion. Also included are questions about the partner of the respondent: employment, highest-level of education and income.

This dataset presents the total number of distinct specialist homeless services clients. The client counts are based on the location where the client resided in the week before their first support period in the financial year. Each client contributes only once, even if they had multiple support periods during the financial year. The data spans the financial years of 2014-15 to 2018-19 and is aggregated to 2016 Australian Statistical Geography Standard (ASGS) Greater Capital City Statistical Areas (GCCSA).

The Specialist Homelessness Services Collection (SHSC) data accompanies the Specialist Homelessness Services Annual Report 2018-19.

For further information about this dataset, visit the Australian Institute of Health and Welfare - SHSC Data Cubes User Guide.

Notes:

• Caution should be used when comparing data for 2017-18 onwards with data for 2014-15 to 2016-17 in sub-state data cubes. Data for 2011-12 to 2016-17 at the state, territory and national levels are weighted to account for agency non-response and invalid statistical linkage keys (SLK), and have been rounded to the nearest integer. Due to improvements in agency response and rates of SLK validity, data from 2017–18 are no longer weighted. The removal of weighting does not constitute a break in time series, and these data are directly comparable with weighted counts for earlier years. As the weighting method is not suitable for sub-state units, the data in the sub-state cubes are not weighted.

• Clients are considered to be homeless if they are living in any of the following circumstances: No shelter or improvised dwelling, Short-term temporary accommodation, House, townhouse or flat (couch surfing or with no tenure).

• Clients are considered to be at risk of homelessness if they are living in any of the following circumstances: Public or community housing (renter or rent free), Private or other housing (renter, rent-free or owner), Institutional settings.

  AURIN has spatially enabled the original data.