The NDIA's latest enrolled dwelling and demand dataset is current to 30 June 2026. It includes dwelling supply and SDA demand by SA3 and SA4 region. The March 2026 quarterly report also recorded 16,263 participants using SDA and 9,370 SDA-eligible participants not yet using it.
Housing Hub also publishes an Accessible Housing & Support Data Snapshot each quarter. Its Q4 2025-26 edition covers April to June 2026 and adds platform-level evidence about SDA vacancy rates, suburb-level concentrations, seeker activity and successful property listings. This is useful market context, but it is not a substitute for official NDIA demand data.
Those national numbers are important, but they are not a vacancy strategy. An eligible participant in a region does not automatically match an available home.
Five variables determine whether demand is usable
- Location: proximity to family, community, health services and transport.
- Design category: Improved Liveability, Fully Accessible, Robust or High Physical Support.
- Building type: apartment, villa, townhouse, house or group home.
- Living arrangement: participant preferences, compatibility and desired level of privacy.
- Support ecosystem: availability of appropriate allied health, informal supports and local services.
What sector specialists are warning about
SDA Consulting warns that some local markets are oversupplied while others remain undersupplied, and that payments are not guaranteed without an eligible resident. Summer Foundation research similarly argues that building in the wrong place or without genuine participant input can create long-term vacancies and poor outcomes.
The common message is simple: do not treat a regional demand total as proof that a particular design will be occupied.
A better provider workflow
- Start with the current NDIA dataset, not a national headline.
- Filter by region, then examine category and building-type demand.
- Validate the data with participant, support coordinator and allied-health conversations.
- Track every enquiry, required feature and reason a match did not proceed.
- Feed that evidence back into future design and vacancy decisions.
How MySDAmanager assists
MySDAmanager records dwelling features, SDA category, vacancies, participant requirements, enquiries and communications. It helps providers preserve the evidence behind a match instead of reducing demand to a single spreadsheet total.
Sources
Use the NDIA SDA data page as the primary dataset. Housing Hub's quarterly data snapshot, the Summer Foundation market analysis and SDA Consulting market guidance provide useful sector context, but they do not replace NDIA data or local due diligence.