Data

RMIT CUR - VAMPIRE for Australian Capital Cities (SA1) 2016

Australian Urban Research Infrastructure Network (AURIN)
Royal Melbourne Institute of Technology - Centre for Urban Research (Owned by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=http://data.aurin.org.au/dataset/bc7a0a5d-f20f-4259-af50-896d6a29a919&rft.title=RMIT CUR - VAMPIRE for Australian Capital Cities (SA1) 2016&rft.identifier=rmit-cur-vampire-2016-capital-cities-sa1-sa1-2016&rft.publisher=Australian Urban Research Infrastructure Network (AURIN)&rft.description=AURIN Download Manager - Download this dataset via the AURIN Download ManagerThis dataset is the Vulnerability Indices for Mortgage, Petroleum and Inflation Risks and Expenditure (VAMPIRE) for Australian Capital Cities for the year of 2016. The data has been calculated for each SA1 region region within the Greater Capital City regions following the 2016 Australian Statistical Geography Standard (ASGS).\n\n The VAMPIRE index is a research method developed at RMIT University's Centre for Urban Research (CUR) commissioned by AURIN. It assesses socio-economic oil price vulnerability in Australian cities based on an analysis of socio-economic indicators from the ABS. This technique has been successful in linking socio-economic data with an improved understanding of socio-spatial structure of vulnerability from rising transport and housing costs. Providing the VAMPIRE index in AURIN's existing data infrastructure will permit researchers and practitioners to access and evaluate VAMPIRE within their own local contexts.\n\n The key (and only) dataset used to construct the VAMPIRE index is ABS census data for 2016. For each census year four Basic Community Profile (BCP) variables are used: (1) median household weekly income; (2) proportion of households owning two or more vehicles; (3) proportion of people traveling to work by car; and (4) number of homes being purchased with a mortgage.\n\nFor more information please view the [Technical Documentation](https://apps.aurin.org.au/gate/technicalreports/vampire-index/AURIN_VAMPIRE2016_Project%20Report_Oct2018.pdf).&rft.creator=Royal Melbourne Institute of Technology - Centre for Urban Research&rft.date=2023&rft.coverage=EPSG:4283 (GDA_1994)&rft.coverage=96.81,-43.75 159.11,-43.75 159.11,-9.14 96.81,-9.14 96.81,-43.75&rft_rights=© AURIN 2018&rft_rights=Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) https://creativecommons.org/licenses/by-nc/4.0/&rft_subject=ECONOMICS&rft_subject=HUMAN SOCIETY&rft.type=dataset&rft.language=English Access the data

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Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
https://creativecommons.org/licenses/by-nc/4.0/

© AURIN 2018

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Brief description

This dataset is the Vulnerability Indices for Mortgage, Petroleum and Inflation Risks and Expenditure (VAMPIRE) for Australian Capital Cities for the year of 2016. The data has been calculated for each SA1 region region within the Greater Capital City regions following the 2016 Australian Statistical Geography Standard (ASGS).\n\n The VAMPIRE index is a research method developed at RMIT University's Centre for Urban Research (CUR) commissioned by AURIN. It assesses socio-economic oil price vulnerability in Australian cities based on an analysis of socio-economic indicators from the ABS. This technique has been successful in linking socio-economic data with an improved understanding of socio-spatial structure of vulnerability from rising transport and housing costs. Providing the VAMPIRE index in AURIN's existing data infrastructure will permit researchers and practitioners to access and evaluate VAMPIRE within their own local contexts.\n\n The key (and only) dataset used to construct the VAMPIRE index is ABS census data for 2016. For each census year four Basic Community Profile (BCP) variables are used: (1) median household weekly income; (2) proportion of households owning two or more vehicles; (3) proportion of people traveling to work by car; and (4) number of homes being purchased with a mortgage.\n\nFor more information please view the [Technical Documentation](https://apps.aurin.org.au/gate/technicalreports/vampire-index/AURIN_VAMPIRE2016_Project%20Report_Oct2018.pdf).

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96.81,-43.75 159.11,-43.75 159.11,-9.14 96.81,-9.14 96.81,-43.75

127.96,-26.445

text: EPSG:4283 (GDA_1994)

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