Dataset extent

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

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).

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.

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.

For more information please view the Technical Documentation.

Data and Resources

Additional Info

Field Value
Source https://adp.aurin.org.au/geoserver/wfs
Last Updated June 29, 2022, 02:03 (UTC)
Created June 28, 2022, 05:54 (UTC)
ADP ID datasource-RMIT_CUR-UoM_AURIN_DB:vampire_2016_capital_cities_sa1
Access Level Open Access
Aggregation Level sa1_2016
Attribute List Area (SqKm), GCC Code 2016, GCC Name 2016, Geometry, SA1 7-digit Code 2016, SA1 Code 2016, SA2 5-digit Code 2016, SA2 Code 2016, SA2 Name 2016, SA3 Code 2016, SA3 Name 2016, SA4 Code 2016, SA4 Name 2016, State Code 2016, State Name 2016, VAMPIRE Score, Weighted Median Household Income, Weighted Number of Dwellings Being Purchased with Mortgage, Weighted Proportion of Dwellings with Two or More Cars, Weighted Proportion of People that Travel to Work by Car
Attribution Li, T., Dodson, J., and Sipe, N. (2018) 'Vulnerability Assessment for Mortgage, Petroleum and Inflation Risk and Expenditure Index (VAMPIRE)', Centre for Urban Research, RMIT University; accessed from AURIN on [date of access].
Coordinate Ref. System EPSG:4283 (GDA_1994)
Copyright Notice © AURIN 2018
Geometry Field wkb_geometry
Key sa1_main16
Type dataset
spatial {"type": "Polygon", "coordinates": [[[96.81, -43.75], [159.11, -43.75], [159.11, -9.14], [96.81, -9.14], [96.81, -43.75]]]}