Suburb Outlook 2030

Suburb Outlook is a forecasting tool designed to assist government authorities with making forward-thinking and informed decisions about the future development of the suburbs in a given postcode.

Our goal was to bring together as many datasets as possible from different sources to help visualise the economic and social make-up of a given postcode. We then extrapolated the existing 2006-2015 data to present the outlook of each postcode as it might appear in 2030. Due to the limited timeframe of the GovHack event, we limited our tool to three different and diverse postcodes in South Australia, showcasing a range of socio-economic parameters. The chosen postcodes encompass struggling, emerging, and established areas.

Datasets

For these data visualisations, we have brought together datasets from:

  • The Australian Taxation Office (ATO)
    • GovHackATO
  • The Australian Bureau of Statistics (ABS)
    • GovHackATO
  • The South Australian Attorney-General's Department (AGD)
    • Crime Mapper: Charles Sturt (C) Local Government Area
    • Crime Mapper: Metropolitan South Australia
    • Crime Mapper: Playford (C) Local Government Area
    • Crime Mapper: Walkerville (M) Local Government Area
  • The Department of Planning, Transport and Infrastructure (DPTI)
    • Metro median house sales
    • Population Projections for SA
  • The Department for Education and Child Development (DECD)
    • Australian Early Development Index 2009-2015
    • Families and Income

Purpose

Suburb Outlook will serve multiple purposes:

  • Help the ATO identify which suburbs are changing their economic profile and therefore their taxation profile
  • Help the AGD identify which suburbs are at risk of increased crime rates
  • Help the DPTI identify which suburbs could benefit from an increased focus on infrastructure
  • Help the DECD identify which suburbs could benefit from additional funding in schools and extracurricular programs to prevent youth delinquency and improve educational prospects
  • Help other government departments identify which suburbs could benefit from an increased focus on health promotion and crime prevention programs

Awards

Suburb Outlook is targeted at the following Awards:

  • Bounty: Plausible Futures: this bounty was the main driver behind the creation of Suburb Outlook. Our objective was to extrapolate available trend data on many aspects of a suburb to provide government agencies with the most comprehensive and accurate set of predictions possible. Suburb Outlook combines the ATO dataset (enriched with ABS data) with multiple datasets from other government agencies, including population projections, crime mapper data, median house sales data and the Australian Early Development Index.
  • Bounty: .tech / .space: the suburboutlook.tech domain name is a great place for our website as Suburb Outlook uses technology to enhance government decision-making.
  • Best Entry from South Australia: we believe Suburb Outlook will be of significant value to the South Australian government in helping to shape the future of South Australia’s suburbs by identifying positive and negative trends and implementing remedial actions in a timely fashion. Suburb Outlook uses multiple datasets from data.sa.gov.au, including population projections, crime mapper data, median house sales data and the Australian Early Development Index.
  • Neighbourhood and Community Confidence: Suburb Outlook integrates crime mapper data from the Attorney General’s Department with the Australian Early Development Index to help identify suburbs where youths are most vulnerable and therefore most at risk of experiencing poorer educational, social and legal outcomes, which would in turn impact on crime rates in these suburbs. The combination of these datasets could help inform the Attorney General’s Department and SA Police as to which suburbs would most benefit from additional crime prevention programs and police resources, thus improving quality of life for the residents of these suburbs.
  • Numbers hack: Suburb Outlook is very much grounded in government data and trend analysis and extrapolation. Despite the limitations of the available aggregated data and the timeframe of the GovHack event, we have attempted to create realistic projections of income, childhood development, house prices, cultural diversity and crime rates for a selection of Adelaide suburbs. The Excel spreadsheets supporting the creation of the data visualisations are available from our website.
  • Places hack: Suburb Outlook is designed to assist government authorities in making better-informed decisions about the allocation of resources to different suburbs to support their economic and social growth and improve the lives of the people who reside in these suburbs. Better quality of life will help people be happier and more productive.

Technologies

The following tools were used in the creation of the Suburb Outlook proof-of-concept:

  • Microsoft Excel (data analysis and trend forecasting)
  • Visme.co (data visualisations)

The following tools were used in the creation of the promotional video:

  • Microsoft PowerPoint (presentation)
  • iSpring (Microsoft PowerPoint screen capture)
  • Soundation.com (music)

Future work

The proof-of-concept is limited to data visualisations for three postcodes (5011, 5081 and 5112) located in metropolitan Adelaide. In future, Suburb Outlook could be expanded to include all suburbs in South Australia, as well as in other states providing the same data is available for these states.

The accuracy of the future predictions could be significantly improved by increasing the integration between the available datasets, having access to non-aggregated data and using more sophisticated data analysis tools.
 

Team name
suburboutlook.tech
State, Territory or Country
Event location
Datasets used
Dataset Name
Australian Early Development Index 2009-2015
Dataset Name
Metro median house sales
Dataset Name
Families and Income
Dataset Name
GovHackATO
Dataset Name
Population Projections for SA
Dataset Name
Crime Mapper: Walkerville (M) Local Government Area
Dataset Name
Crime Mapper: Charles Sturt (C) Local Government Area
Dataset Name
Crime Mapper: Playford (C) Local Government Area
Dataset Name
Crime Mapper: Metropolitan South Australia
Project image
Video URL (YouTube/Vimeo)