From Australian Urban Research Infrastructure Network
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LGA15 Index of Relative Socio-economic Disadvantage, Min & Max SA1 Scores - 2011

Created 04/05/2025

Updated 04/05/2025

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The Index of Relative Socio-economic Disadvantage (ISRD) has a base of 1000 for Australia: scores above 1000 indicate a relative lack of disadvantage and those below 1000 indicate relatively greater disadvantage. This data set highlights minumum and maximum scores of the Statistical Areas Level 1, in a given Local Government Area (all entries that were classified as not shown, not published or not applicable were assigned a null value; no data was provided for Maralinga Tjarutja LGA, in South Australia). Data is by LGA 2015 profile (based on the LGA 2011 geographic boundaries). For further information on the IRSD refer to: http://www.abs.gov.au/. Note: The LGA data were re-produced from the ABS originals. Data for other geographic levels were constructed using population weighted averages, based on the published ABS SA2 data. Source: Compiled by PHIDU based on ABS Socio-economic Indexes for Areas (SEIFA), 2011 data.

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Field Value
Title LGA15 Index of Relative Socio-economic Disadvantage, Min & Max SA1 Scores - 2011
Language English
Licence CC-BY-NC-SA-3.0-AU
Landing Page https://devweb.dga.links.com.au/data/dataset/9fb5bc23-b432-40a1-ae82-eb9807de4b7c
Remote Last Updated 06/03/2025
Contact Point
Torrens University Australia - Public Health Information Development Unit
test@email.loc
Reference Period 06/03/2025
Geospatial Coverage {"type": "Polygon", "coordinates": [[[112.92, -43.74], [159.11, -43.74], [159.11, -9.14], [112.92, -9.14], [112.92, -43.74]]]}
Data Portal data.gov.au

Data Source

This dataset was originally found on Australian Urban Research Infrastructure Network "LGA15 Index of Relative Socio-economic Disadvantage, Min & Max SA1 Scores - 2011". Please visit the source to access the original metadata of the dataset:
https://data.aurin.org.au/dataset/tua-phidu-tua-phidu-2015-lga-aust-irsd-2011-lga2011

Original dataset
Dataset copies

No duplicate datasets found.