Dataset extent

Map data © OpenStreetMap contributors

UNSW CFRC - Heat Vulnerability Index - Sydney (Polygon) 2016

A Heat Vulnerability Index was built with Open Data for Metropolitan Sydney for the years 2011 and 2016. Vulnerability is defined as the propensity of a population to be adversely affected by extreme heat and depends on 3 components: the exposure sensitivity and adaptive capacity of the population. These 3 sub-indexes were calculated with various indicators that you can find as attributes to this layer. The scale of the study is the Statistical Areas 2 (SA2) of the Australian Bureau of Statistics.

Bodilis Carole; Yenneti Komali; Hawken Scott (2018): Heat Vulnerability Index for Sydney. Faculty of Built Environment UNSW Sydney.For more information refer to the UNSW City Futures Research Centre

Data and Resources

Additional Info

Field Value
Last Updated June 28, 2022, 04:28 (UTC)
Created June 28, 2022, 04:28 (UTC)
ADP ID datasource-UNSW_CFRC-UNSW_CFRC_GEONODE:geonode_Sydney_Vulnerability_Index_2016
Access Level Open Access
Aggregation Level NA
Attribute List 6-digits SA2 ID (ABS), Adaptive Capacity, Exposure, Geometry, Index Rank, Index Value, Inequalities, Local Government Expenses, Number of days > 38 degrees celsius, Percentage of Aboriginal People, Percentage of Water Bodies, Percentage of dwellings with access to internet, Percentage of non-individual dwellings, Percentage of parks in the area, Percentage of people living alone, Percentage of people needing care, Percentage of people older than 65 years old, Percentage of people with a High School Degree, Percentage of people younger than 4 years old, Percentage of women, Population Density, Poverty Rate, Road Density, SA2 Name, Sensitivity, Tree Canopy
Attribution University of New South Wales - City Futures Research Centre, (2018): UNSW CFRC - Heat Vulnerability Index - Sydney (Polygon) 2016; accessed from AURIN on [date of access].
Coordinate Ref. System EPSG:4283 (GDA_1994)
Copyright Notice © University of New South Wales - City Futures Research Centre 2018
Geometry Field the_geom
Type dataset
spatial {"type": "Polygon", "coordinates": [[[141.0, -37.51], [159.11, -37.51], [159.11, -28.16], [141.0, -28.16], [141.0, -37.51]]]}