ABS - Socio-Economic Indexes for Areas (SEIFA) - The Index of Education and Occupation (SA1) 2011

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Description

Socio-Economic Indexes for Areas (SEIFA) is a product developed by the ABS that ranks areas in Australia according to relative socio-economic advantage and disadvantage. The indexes are based on information from the five-yearly Census. SEIFA 2011 is the latest version of this product and consists of four indexes. The Index of Education and Occupation (IEO) is designed to reflect the educational and occupational level of communities. The education variables in this index show either the level of qualification achieved or whether further education is being undertaken. The occupation variables classify the workforce into the major groups and skill levels of the Australian and New Zealand Standard Classification of Occupations (ANZSCO) and the unemployed. This index does not include any income variables. Data last updated: 28th March 2013. Users of this data are advised to carefully read the accompanying information on the SEIFA web page and in the Technical Paper. SEIFA Homepage SEIFA Technical Paper For further information about these and related statistics, contact the National Information and Referral Services on 1300 135 070. Periodicity: 5-Yearly.

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Field Value
Source https://adp.aurin.org.au/geoserver/wfs
Last Updated June 28, 2023, 06:00 (UTC)
Created June 28, 2023, 06:00 (UTC)
ADP ID datasource-AU_Govt_ABS-UoM_AURIN_DB_3:seifa_ieo_aust_sa1_2011
Access Level Open Access
Aggregation Level sa1
Attribute List Decile, Geometry, IEO Score, Percentile, Rank, SA1 Code, Usual Resident Population
Attribution Government of the Commonwealth of Australia - Australian Bureau of Statistics, (2011): ABS - Socio-Economic Indexes for Areas (SEIFA) - The Index of Education and Occupation (SA1) 2011; accessed from AURIN on [date of access].
Coordinate Ref. System EPSG:4283 (GDA_1994)
Copyright Notice © Government of the Commonwealth of Australia - Australian Bureau of Statistics 2011
Geometry Field wkb_geometry
Key sa1_code
Type dataset
spatial {"type": "Polygon", "coordinates": [[[96.82, -43.74], [159.11, -43.74], [159.11, -9.14], [96.82, -9.14], [96.82, -43.74]]]}