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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 March 20, 2020, 06:15 (UTC)
Created May 14, 2019, 05:04 (UTC)
License Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
AURIN Open API ID aurin:datasource-UNSW_CFRC-UNSW_CFRC_GEONODE_geonode_Sydney_Vulnerability_Index_2016
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]]]}