SDA Vacancy Rates by Region: What the Data Shows

What utilisation rates actually mean for SDA investors

Utilisation rate is the percentage of enrolled SDA places that are occupied by funded participants. If a region has 100 enrolled SDA places and 80 are occupied, the utilisation rate is 80%. The inverse — 20% — is the vacancy rate.

This is the most direct measure of whether supply is matched to demand in a given area. A high utilisation rate means enrolled dwellings are finding participants. A low utilisation rate means dwellings are sitting empty, and the providers behind them are losing money every day.

The NDIA's pricing model builds in vacancy assumptions of 7.75% to 13%, depending on dwelling size. These assumptions feed into the price limits that determine how much providers receive per participant. The model assumes that most dwellings will be occupied most of the time. When actual vacancy rates significantly exceed these assumptions, the financial model breaks down.

And they do exceed those assumptions. The Housing Hub Provider Experience Survey found actual vacancy rates for new build SDA stock at 25.5% — roughly double the upper end of the NDIA's assumptions. For certain design categories and building types, the gap is even wider. For a full analysis of how these vacancy rates interact with other investment risks, see our SDA investment risks guide.

How vacancy varies by region

Australia has over 340 SA3 regions, and the NDIS reports SDA data at this geographic level. The variation in utilisation between regions is extreme. Some SA3 regions show utilisation rates above 95%, meaning nearly every enrolled place has a funded participant. Others sit below 50%, with half or more of enrolled places empty.

This variation is not random. Several structural factors drive the differences:

• Participant concentration: SDA-funded participants are not evenly distributed across the country. Some regions have dense clusters of participants with SDA in their plans, while others have very few. Building in a region with low participant density means competing for a small pool of potential tenants.
• Historical supply patterns: Certain regions attracted early investment — often driven by developer marketing rather than demand data — leading to supply that outstripped demand well before the market matured.
• SIL provider availability: Most SDA residents also receive Supported Independent Living (SIL). If a region lacks registered SIL providers willing to support tenancies in new builds, the dwellings may remain vacant regardless of participant demand.
• Regional accessibility: Dwellings in locations with poor access to public transport, health services, and community infrastructure are harder to fill, even when participants exist in the broader region.

The critical point is that national or even state-level vacancy figures are misleading. An investor looking at a specific SA3 region needs utilisation data for that exact region, broken down by the design category and building type they are considering. You can explore this data across all Australian regions on our SDA data explorer.

Why some regions have high vacancy despite apparent demand

One of the most counterintuitive findings in SDA data is that some regions show both unmet demand and significant vacancy at the same time. This is not a contradiction — it is a design category mismatch.

A region might have 30 participants funded for High Physical Support who are waiting for appropriate dwellings, while 15 Robust category places sit empty in the same area. The demand exists, but not for what was built. The participants need apartments with ceiling hoists and assistive technology; what was built is group homes designed for residents with complex behavioural needs.

This mismatch has several causes:

• Design category confusion: Developers sometimes build for the category they believe is most profitable rather than the category where demand actually exists. For a detailed breakdown of how design categories differ, see our SDA design categories guide.
• Building type mismatch: The market may need apartments or single-resident villas, but what was built is group homes. Different participant cohorts have different preferences and needs regarding dwelling type.
• Micro-location issues: A dwelling may be in the right SA3 region but in the wrong part of it. Participants want to live near their existing support networks, family, and services. A dwelling 40 minutes away from where the participant's life is centred may as well be in another state.

This is why aggregate demand figures can be misleading. The demand needs to be matched not just to a region, but to a specific design category, building type, and practical location within that region.

The key factors that drive vacancy up or down

Beyond design category mismatch and location, several other factors influence whether a dwelling fills quickly or sits empty:

• Participant matching delays: The NDIA's median decision time for initial SDA funding is 71 days. If the decision goes to external review, the median extends to 125 days. During this period, providers are waiting with an empty dwelling and no income.
• SIL-SDA coordination: Matching a participant to an SDA dwelling often requires coordinating with a SIL provider simultaneously. If the participant's preferred SIL provider does not operate in the dwelling's area, the match falls through.
• Compatibility between co-residents: For shared dwellings (2+ residents), all residents need to be compatible. A provider may have three places to fill but can only fill two because the third candidate is not compatible with the existing residents.
• Pipeline oversupply: Even if current utilisation looks acceptable, dwellings under construction or in the planning phase can flood a region within 12-18 months. For more on how pipeline data affects investment timing, see our SDA pipeline data guide.

Each of these factors operates independently, but they compound. A dwelling in the wrong design category, in a region with slow NDIA processing times and limited SIL coverage, faces vacancy risk from multiple directions simultaneously.

How SDA Signals tracks utilisation across regions

SDA Signals calculates utilisation rates at the SA3 region level. The platform also provides design category and build type breakdowns, so you can see how a region's supply is composed. This matters because a region's overall utilisation rate can mask significant variation within it.

For example, a region might show 75% utilisation overall, but when you break it down, High Physical Support apartments are at 95% utilisation (almost full) while Robust group homes are at 45% (nearly half empty). An investor looking at the headline 75% figure would miss both the opportunity in HPS apartments and the warning sign in Robust group homes.

The utilisation metric in SDA Signals is derived from official NDIS quarterly data, comparing enrolled places to occupied places. It is updated each quarter as new data is released. For details on how we process and classify the underlying data, see our methodology page.

By tracking utilisation over time, investors can also identify trends. A region where utilisation is falling quarter-on-quarter is one where supply is growing faster than demand — a clear signal to investigate further before committing capital. Conversely, rising utilisation in a region with unmet demand suggests genuine undersupply that is not yet being addressed.

What investors should do with utilisation data

Utilisation data should be the starting point — not the only input — for any SDA investment decision. Here is how to use it effectively:

• Filter by design category first: Do not look at overall utilisation for a region. Look at the specific design category you intend to build. The gap between categories within a single region can be 40+ percentage points.
• Compare utilisation to demand: High utilisation combined with unmet demand signals genuine undersupply. High utilisation with no unmet demand means the market is balanced — adding supply could tip it into oversupply.
• Check the trend: A single quarter's utilisation figure is a snapshot. Compare across multiple quarters to see whether the market is tightening or loosening.
• Factor in pipeline: Current utilisation does not account for what is under construction. A region at 90% utilisation today could drop to 70% if 20 new dwellings are about to come online.

The point is not to find a single number that says "invest here." It is to build a layered picture that combines utilisation, demand, supply growth, and pipeline data to identify where genuine gaps exist — and where they do not.

Frequently asked questions

SDA Signals is a data and research tool. The information on this page does not constitute financial, investment, legal, or professional advice. Always conduct your own due diligence and consult qualified professionals before making investment decisions.