Approval delays trace to the workflow, not the proposal.
The Australia Housing Market White Paper (2026), published by RESI, the Australian Residential Construction Institute, diagnoses Australia's housing shortfall as a system-performance problem as much as a construction-capacity one. Its second chapter examines 20,000+ residential subdivision planning consent applications lodged through PlanSA, South Australia's statewide digital planning portal, and finds that what most consistently lengthens a consent timeline is how the application moves through the system — not what is being built or where.
Data to 2025. Cyberate researchers are named in the white paper's core research team, and its Chapter 2 is synthesised from the AUBEA 2025 Best Paper study they authored. The white paper is published by RESI, not by Cyberate.
The National Housing Accord sets 1.2 million homes over five years from 1 July 2024, implying 240,000 completions a year. In 2023–24, Australia completed about 176,000 new dwellings — a shortfall of about 64,000 against that pace, and below the decade average of about 192,000. On a per-person basis, completions have trended down for decades.
Source: Productivity Commission (2025), as cited in the white paper. These are the Productivity Commission's figures as cited in the white paper, not Cyberate measurements.
Measure
Dwellings a year
National Housing Accord target
240,000
Completions, 2023–24
about 176,000
Decade average
about 192,000
Shortfall against the Accord pace
about 64,000
THE EVIDENCE BASE
A system built for observation.
South Australia offers an unusually clean evidence lens because planning and development applications run through PlanSA, South Australia's statewide digital planning portal, which creates a consistent process record: comparable data on pathway allocation, stage progression and requests for further information. SA also publishes indicative business-day benchmarks per pathway and defines when the assessment clock can be paused — so elapsed time can be separated from counted time.
Lodgements over this period were proportionally sampled across the 18 councils; the published analysis does not state the sample size.
20,000+ residential subdivision planning consent applications: Lodged via PlanSA, South Australia's statewide digital planning portal between January 2022 to June 2025.
18 Adelaide metropolitan councils: A consistent dataset across councils lets workflow shifts and institutional variation be tested within the same analytical frame.
Bivariate first, then multivariate: Each driver is examined independently to find where differences are most pronounced, then tested together so overlap between factors is accounted for.
WHAT PERSISTS
Five drivers that survive the controls.
The chapter separates factors merely associated with longer timelines from those that remain robust predictors after controls. These five persist — and every one of them is a property of the workflow or the proposal's process footprint, not of its architecture or its address.
Reforms aimed at workflow triggers are likely to deliver larger gains than reforms focused only on what is being built or where it is built.
Assessment pathway: The strongest structural driver. Pathway assignment increases scrutiny intensity, adds process steps and expands coordination requirements.
Verification time: An upstream early-warning layer. Applications that spend longer in verification consistently end up with longer overall timelines, reflecting information completeness and rework risk.
Referrals: Each external agency brought into the workflow adds coordination requirements and response windows; consent timelines lengthen as referral counts rise.
Public notification: Adds fixed time and raises iteration risk, through escalation, negotiation and redesign cycles.
Subdivision scale: Remains a positive predictor, consistent with greater documentation and servicing coordination.
WHAT DOESN'T
And four assumptions that weaken.
Findings are only findings when they can also disconfirm. Once workflow triggers and proposal traits enter the model, several widely assumed delay factors lose their signal — including one that reverses direction entirely.
Zone and location variables: Location-based assumptions weaken once workflow triggers and proposal traits are included in the model.
Dwelling form: Higher-density categories remain slower than detached dwellings, but part of the difference is explained by pathway and notification rather than the form itself.
Tree removal and public holidays: Commonly assumed delay factors that showed no clear standalone effect in this dataset.
Affordable housing: Shifts from slower in the unadjusted view to faster in the combined model, consistent with prioritisation or dedicated handling.
FOR SME DEVELOPERS
Five shifts, all of them before lodgement.
The evidence points at a small set of workflow triggers that repeatedly lengthen timelines. For SME developers the quickest gains come from managing those triggers before lodgement, rather than trying to recover time once delays appear.
Application completeness: Lodging with incomplete material pushes verification rework and information cycles past lodgement. Decision-critical evidence — traffic, stormwater, heritage, arborist — belongs in the first submission.
Pathway clarity: Confirm the likely pathway before lodgement and prepare the evidence that pathway needs, rather than adding pages that do not change the decision.
Referral readiness: Identify likely referral triggers and align supporting material so agencies can respond without repeated follow-ups or sequencing clashes.
Notification management: Treat notification as a project phase. Early stakeholder engagement is usually cheaper than late-stage redesign.
Financial modelling: Price the downside, not the median. Extended timelines are the hardest scenario to finance and contract, so predictability is worth more than speed.
Verification, referrals, notification and pathway choice exist in every Australian planning system, even where the names and thresholds differ. The chapter closes with a replication playbook: you do not need perfect data to start, and the output should be decision-ready.
Minimum viable dataset: Lodgement date and decision date; Pathway category used; Whether public notification occurred; Count of referrals, or at least a yes/no referral flag; Verification durations, or a proxy such as the number of information requests; Basic proposal tags: subdivision scale and dwelling form.
Define scope: Jurisdiction, councils, time window and proposal type.
Extract records: From the portal, register or council system.
Tag workflow switches: Verification, pathway, referrals, notification.
Run the diagnostics: Bivariate first, then multivariate, so correlation is separated from what persists under controls.
Australia's housing market is not operating in a low-demand environment, but in a high-friction one. The commercial edge is not scale; it is the ability to control timing, margin and execution.
The pipeline carries less volume and turns over more slowly. In a slower system, execution certainty carries more value than project scale. Data to 2025.
Financeable demand: Demand is increasingly filtered by serviceability and local affordability. Feasibility improves when product, pricing and staging align to the effective borrower and renter pool rather than headline averages.
Conversion speed: Approvals do not guarantee supply relief when commencements lag. Projects that shorten approval-to-start timeframes and reduce stop–start delivery hold a timing advantage in a thinning pipeline.
Margin protection under cost dispersion: Costs may be stabilising, but elevated levels and uneven input movements keep procurement risk project-specific. Scope complexity, specifications and contingencies have to match the current cost environment.
Execution governance under higher insolvency risk: Rising insolvency activity increases completion and pricing risk across the subcontractor chain. Feasibility depends more on counterparty strength, contract design and contingency planning than in prior cycles.
DEMAND AND SUPPLY
A demand floor, a thinning pipeline.
Population growth sets a demand floor; migration flow determines when that floor becomes binding. Credit conditions determine how much of it can transact. On the supply side, dwellings under construction fell to about 214,000 by late 2024 — the lowest level since early 2021.
Even including approved-but-not-commenced projects, the combined pipeline implies a little over one year of supply at historical completion rates.
Indicator
As published
estimated resident population, latest observation
27.6 million
quarterly net overseas migration at its post-reopening peak
150,000
new housing loan commitments in 2021
620,000
Dwellings under construction, late 2024
about 214,000
typical delivery cycle, so weak commencements cap availability into the next financial year
18 to 36 months
WHERE IT SHIPS
The findings point at systems already running.
Each of the four persistent workflow drivers maps to something a delivery team can hold in a system rather than in a consultant's memory.
Data sources: Australian Bureau of Statistics (ABS); Reserve Bank of Australia (RBA); CoreLogic and PropTrack home value and price indexes; ASIC insolvency statistics; SGS Economics and Planning; South Australia's Online Planning and Design Code (PlanSA); Productivity Commission (2025).
Evidence note
Publication
Australia Housing Market White Paper (2026), published by RESI, the Australian Residential Construction Institute.
Cyberate's role
Cyberate researchers are named in the white paper's core research team, and its Chapter 2 is synthesised from the AUBEA 2025 Best Paper study they authored. The white paper is published by RESI, not by Cyberate.
Chapter 2 evidence base
20,000+ residential subdivision planning consent applications, PlanSA, South Australia's statewide digital planning portal, January 2022 to June 2025, across 18 Adelaide metropolitan councils.
Sampling
Lodgements over this period were proportionally sampled across the 18 councils; the published analysis does not state the sample size.
Method
Bivariate analysis of each driver independently, then multivariate modelling to separate association from what persists under controls.
Data currency
Data to 2025.
Recognition
Chapter 2 is synthesised from the Best Paper Award study presented at the 48th AUBEA International Conference.
The white paper is published by RESI and analyses public data to 2025. Cyberate researchers are named in its core research team; Cyberate is not its publisher.
Chapter 2's evidence base covers residential subdivision consent applications in 18 Adelaide metropolitan councils. It is a South Australian study, not a national benchmark, and findings are directional rather than a prediction of any single application's timeline.
Delivery-gap figures are the Productivity Commission's (2025), cited by the white paper. They are not Cyberate measurements.
Nothing drawn from the white paper on this site is a valuation, a forecast, or planning, financial or legal advice.
READ IT IN FULL
The full white paper is published by RESI.
Cyberate researchers are named in the white paper's core research team, and its Chapter 2 is built on the AUBEA 2025 Best Paper study they authored. The document itself is published by RESI, the Australian Residential Construction Institute and is available through the RESI Knowledge Hub.
Suggested citation: RESI (2026), Australia Housing Market White Paper. Published by the Australian Residential Construction Institute. Analysis of public data to 2025.