Australian gay and lesbian postcodes (IJGIS)

This project uses data on same-gendered households (via the 2016 Australian Census) and cohabitation rates (via behavioural population surveys) to estimate the total number and prevalence of gay men and lesbian women living across Australia and in each postcode. The data and code for generating relevant outputs and analyses are contained here.<br><b>(i) Stock datasets</b> [Files: remoteness2012.dta; postcode_clusters.dta] This item contains files required to organize the Australian Census data: (i) the 'remoteness' classifications per the Australian Statistical Geography Standard (Australian Bureau of Statistics, 2011), and (ii) clustering of those postcodes with base total populations of less than 200 people. The clustering process was undertaken manually by reviewing postcodes in that bracket and combining them with neighboring postcodes within the same jurisdictions and remoteness classification until the threshold of 200 was met. Preference was given for clustering postcodes that shared the largest geographic border and/or with the smallest population sizes.<br><br><b>(ii) Underlying datasets </b>[Files: pop_sex_0-9.xlsx; pop_sex_10-19.xlsx; pop_sex_18.xlsx; pop_sex_19.xlsx; pop_sex_20-24.xlsx; pop_sex_25-29.xlsx; pop_sex_all.xlsx; ss_couples_all.xlsx]This item contains tables created by and extracted from the Australian Bureau of Statistics 'TableBuilder' platform, which allows access to and organization of aggregate data from the 2016 Australian Census. The tables exist in two groups (i) total number of Census participants, stratified by postcode, age group and gender, and (ii) total number of same-gendered households, stratified by postcode and gender.<br><br><b>(iii) Organizational code</b> [File: generate dataset and analysis.do]This file contains the code (Stata, version 15.0) to organize the 'underlying datasets' and combine them with information collated from behavioral survey data. To account for remoteness classification via the Australian Statistical Geography Standard, it merges by postcode on a separate 'stock dataset' (remoteness2012). To account for clustering of postcodes with small overall populations, it merges by postcode on a separate 'stock dataset' (postcode_clusters). The code additionally produces outcomes of descriptive analyses and relevant tables, and generates a final dataset of, by-postcode, population sizes and prevalences.<br><b>(iv) Final dataset </b>[File: Appendix B - dataset.xlsx]This final dataset contains organized, merged and interpreted outcomes, presented as variables of, by-postcode, the estimated absolute number and prevalence of gay men and lesbian women in Australia. A data dictionary is included.<br><br>