Dataset extent

Map data © OpenStreetMap contributors

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

This layer shows the first component of housing intensification for Melbourne 2011. SPSS was used to run the factor analysis. Raw data was downloaded from ABS SA1 2011 Factor 1 is dominated by young adults (15-34 years old) migrants from South East Asia North East Asia and some migrants from Southern Central Asia who have arrived in Australia between 2001 and 2011. Although this group encompasses mostly private renters highest level of purchasers are also within this group. Apparently, university students were the unemployed ones (labour force not stated) with nil income and were renting flats or were living in group households. There are a considerable number of lone person households in this group with medium to low weekly income range from under A$400 to A$800-1499. Component 1 explains 14.4 eigenvalues of variance (%30 of total variation).

For more information refer to UNSW City Futures Research Centre: https://citydata.be.unsw.edu.au/layers/geonode%3AFac1Melb2011.

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, 04:32 (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_Fac1Melb2011
Aggregation Level sa1
Attribute List , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,
Attribution University of New South Wales - City Futures Research Centre, (2017): UNSW CFRC - Housing Intensification Melbourne (first 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]]]}