Liveability

Team Name: 
Hackasaurus Rex

Where you live has a huge impact on your quality of life, but when you're looking to move to a new area it can be difficult to find out important liveability information. How fast is the broadband? Is it an area with rich cultural diversity? How safe is it compared to other suburbs?

Our app helps you decide where you want to live based on your priorities. For example if you want to live among other people your age, Liveability tells you the median age of the people who live in each local area, and the percentile in your state. If living in a low-crime area is your priority, our app tells you about the level of crime in each area, both in terms of instance and relative to other areas. You can search by suburb across Australia, and find your location on a map and look at nearby suburbs. 

Our team includes an ios programmer, a government data analyst (father and daughter) and a graphic designer. We chose to build this app because it makes good use of our skills, and because it's a tool that helps people (including us) use government data to make better decisions. 

Liveability is a universal app that can run on devices including iPod touch, iPhone and iPad. To build the app we mashed together data from the Australian Bureau of Statistics, the Australian Taxation Office, Australian Goverment Department of Communciations, ACT Policing, the NSW Bureau of Crime Statistics and Research and Apple Maps. We sourced this data from data.gov.au, ABS.Stat beta, the organisations' data repositories and a useful ACT crime database created by a 2014 GovHacker. We analysed data using Excel and Numbers, and used python to convert CSV files to sqlite databases. We then embedded these databases in the application for quick retrieval and low memory footprint. We used the FMDB database wrapper to wrap the sqlite databases (thanks Flying Meat). We built the application in Objective C for iOS. Finally, we used Adobe Photoshop CC to design the icons for the app button, home page and for each of the liveability measures. 

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Datasets Used: 
The Index of Relative Socio-economic Advantage and Disadvantage (IRSAD) data, used to measure relative socio-economic demographics, was accessed from ABS SEIFA Data: http://www.abs.gov.au/ausstats/abs@.nsf/Lookup/2033.0.55.001main+features100132011 Taxable income data from the Australian Taxation Office, used as another measure of relative socio-economic demographics, was accessed from data.gov.au: http://www.data.gov.au/dataset/taxation-statistics-2012-13/resource/fc53a0c8-25e7-4024-b609-438a30b8d807 Break and enter data for NSW was obtained using the BOCSAR NSW Crime Tool - http://crimetool.bocsar.nsw.gov.au/bocsar/ ACT Crime Data by Suburb was obtained with much thanks to previous govhacker Craig Thormler. Craig's pre-mashed data is available at: http://egovau.blogspot.com.au/2014/08/act-crime-stats-data-ready-for-people.html and is originally drawn from: http://www.police.act.gov.au/crime-and-safety/crime-statistics.aspx. ABS Median age by LGA 2013, used to measure age demographics, was obtained from: http://www.abs.gov.au/AUSSTATS/abs@.nsf/DetailsPage/3235.02013?OpenDocument Number of people who speak a language other than English at home and population by LGA, used to measure cultural diversity, was sourced from ABS.stat at: http://stat.abs.gov.au/Index.aspx?DataSetCode=ABS_CENSUS2011_B13_LGA We linked postcode to LGAs using the ABS Postcode 2011 to LGA 2011 dataset available at: http://www.abs.gov.au/AUSSTATS/abs@.nsf/DetailsPage/1270.0.55.006July%202011?OpenDocument Broadband quality was measured using the Department of Communications 'My Broadband' website: https://www.mybroadband.communications.gov.au

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