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ABS - Socio-Economic Indexes for Areas (SEIFA) - The Index of Economic Resources (SA2) 2016

Created 04/05/2025

Updated 04/05/2025

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This data is SA2 based SEIFA data on The Index of Economic Resources, 2016. Data is based upon 2016 ASGS boundaries. Socio-Economic Indexes for Areas (SEIFA) is an ABS product that ranks areas in Australia according to relative socio-economic advantage and disadvantage. The indexes are based on information from the five-yearly Census of Population and Housing. SEIFA 2016 has been created from Census 2016 data and consists of four indexes: The Index of Relative Socio-economic Disadvantage (IRSD); The Index of Relative Socio-economic Advantage and Disadvantage (IRSAD); The Index of Education and Occupation (IEO); The Index of Economic Resources (IER). Each index is a summary of a different subset of Census variables and focuses on a different aspect of socio-economic advantage and disadvantage. This data is ABS data (catalogue number: 2033.0.55.001) used with permission from the Australian Bureau of Statistics. For more information on this data please visit the Australian Bureau of Statistics.

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Field Value
Title ABS - Socio-Economic Indexes for Areas (SEIFA) - The Index of Economic Resources (SA2) 2016
Language English
Licence CC-BY-2.5-AU
Landing Page https://devweb.dga.links.com.au/data/dataset/d04095c6-43d1-440e-9175-07dc48b938b9
Remote Last Updated 06/03/2025
Contact Point
Government of the Commonwealth of Australia - Australian Bureau of Statistics
test@email.loc
Reference Period 06/03/2025
Geospatial Coverage {"type": "Polygon", "coordinates": [[[96.81, -43.75], [159.11, -43.75], [159.11, -9.14], [96.81, -9.14], [96.81, -43.75]]]}
Data Portal data.gov.au

Data Source

This dataset was originally found on Australian Urban Research Infrastructure Network "ABS - Socio-Economic Indexes for Areas (SEIFA) - The Index of Economic Resources (SA2) 2016". Please visit the source to access the original metadata of the dataset:
https://data.aurin.org.au/dataset/au-govt-abs-sa2-seifa-ier-2016-sa2-2016

Original dataset
Dataset copies

No duplicate datasets found.