Gender by remoteness.csv

Coding data put forward in article: http://www.abc.net.au/triplej/programs/hack/welcome-to-the-town-with-no-single-women/9092386.<br><br>Note: 32 postal codes were listed for 'more single men' and 30 were listed for 'more single women'. One postal code for 'more single women' was labelled in the article as 'null' and could not be matched to a Australian remoteness category (ARIA) nor socioeconomic index for areas (SEIFA). It looks like a remote area of Queensland to me: http://australia.postcode.info/p/4892<br><br>Comments in FB feed were based on a raw proportion of areas listed as 'Major cities' for the first 29 areas which could be assigned a valid remoteness category. Two additional areas were listed as 'major cities/inner regional' areas for men and were not counted as major cities. A priori 4 lyf. <br><br>Variables in dataset<br>Postalcode: post code for location - used to merge data for ARIA and SEIFA indices.<br>Remoteness: Australian Remoteness Index of Australia (ARIA) by postal code as extracted from http://www.pocog.org.au/aria/default.aspx<br>Gender: f = more single women; m = more single men<br>SEIFA: Socio-economic Indexes for Areas (SEIFA) as extracted from http://stat.data.abs.gov.au/Index.aspx?DataSetCode=SEIFA_POA<br>