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UNSW CFRC - Housing Intensification Melbourne (third component) (SA1) 2011

This layer shows the third component of housing intensification for Melbourne 2011. SPSS was used to run the factor analysis. Raw data was downloaded from ABS SA1 2011 Factor 3 is dominated by multi-family households with children -this group is dominated by young children and family households with children living and multi-family households in separate houses. Migrants in this group has arrived in Australia from more than 30 years ago to nearly 2 decades ago (1961-2000) mostly from Southern Eastern Europe and a fewer proportion from North Africa Middle East and Sub Saharan Africa. This group is engaged in lower occupational employment (machine operators and labourer occupations) with low income rate (A$400-799 weekly). Majority of this group is not in labour force. There are also aged group over 55 in this group who seems to be migrated more than 60 years ago (1941-1960) and owns their houses. Component 3 explains 6.0 eigenvalues of variance (%12 of total variation).

For more information refer to UNSW City Futures Research Centre: https://citydata.be.unsw.edu.au/layers/geonode%3AFac3Melb2011.

Data and Resources

Additional Info

Field Value
Source https://portal.aurin.org.au
Last Updated March 20, 2020, 06:15 (UTC)
Created May 14, 2019, 05:06 (UTC)
License Creative Commons Attribution 4.0 International (CC BY 4.0)
AURIN Open API ID aurin:datasource-UNSW_CFRC-UNSW_CFRC_GEONODE_geonode_Fac3Melb2011
Aggregation Level sa1
Attribute List , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,
Attribution University of New South Wales - City Futures Research Centre, (2017): UNSW CFRC - Housing Intensification Melbourne (third component) (SA1) 2011; 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 2017
Geometry Field the_geom
Key SA1_MAIN11
Type dataset
spatial {"type": "Polygon", "coordinates": [[[140.96, -39.16], [149.98, -39.16], [149.98, -33.98], [140.96, -33.98], [140.96, -39.16]]]}