A shared evidence base
Accessible to all and consistent over time, housing.id is a shared evidence base to help councils plan, deliver and monitor the supply of affordable and appropriate housing in their communities.
Understand the interrelationships between
- population and households
- housing supply and approvals
- housing affordability and availability
- house prices and local incomes
Plan for appropriate housing
There are strong links between the demographic and economic characteristics of your community and their housing preferences. housing.id highlights mismatches between current supply and the profile of current residents and those who are forecast to live in your area in the future.
Identify supply-demand gaps
Understand the gap between housing supply and demand. Make land-use decisions and work with developers to deliver housing where it is most needed in your LGA.
Detailed small area data
In any local government area, each neighbourhood has its own unique profile and housing challenges. We provide housing stress, building approvals, affordability and Census data at granular SA1 Geography to inform your plans for suburbs, activity centres and development hotspots.
Monitor your progress with single source of data that is updated quarterly, avoiding the expense and inconsistency of point-in-time reports.
Different states define housing stress in different ways. We present your story using the same definitions as your state planning department.
Track your progress
Councils told us point-in-time data is their #1 frustration with the current evidence base for planning and advocacy.
As a shared online data source, housing.id is updated annually, so you can plan with consistent metrics and monitor progress toward your goals.
Understand incomes, understand housing stress
A quirk of the ABS’ standard income reporting is that household income is shown in ‘brackets’, making it difficult to report on the number of households experiencing housing stress given your local housing prices.
We’ve worked with the ABS to source more granular income data, giving you a detailed assessment of the number of people in housing stress in your area.
By conducting a dwelling yield analysis with .id, we were able to demonstrate to the DPLG that our contribution to the western region population targets as detailed in the 30 Year Plan, could be provided in a way that suits our character and protects our heritage.West Torrens City Council