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Market Intelligence Report | January 2026

Australia Purpose-Built Student Accommodation (PBSA) Market Report 2026

Comprehensive Analysis: A$12B Total Market at the Intersection of Structural Undersupply and Institutional Capital

1.51M students, 170K organized beds, 6% penetration vs UK 54%, Asia-Pacific's most compelling supply-demand dislocation.

A$12BTotal Market (TAM)
170KOrganized Beds
97%Occupancy Rate
558KBed Shortfall
Download Full PDF Report (38 Pages)

Market at a Glance

Key performance indicators for the Australian purpose-built student accommodation sector

A$12BTotal Market (TAM)Incl. unorganized sector
1.51MTotal StudentsDept of Education 2024
496KIntl Students32.7% of total
6%Penetrationvs UK 54%
A$3.6BOrganized SectorPBSA + On-Campus
~558KBed ShortfallTo match UK levels

Market Size Scenarios

From A$12B current TAM to A$18B at 30% organized penetration

Current TAM
A$12B
Organized (6%)
A$3.6B
15% Penetration
A$9.0B
30% Penetration
A$18.1B

Note: TAM of A$12B includes ~A$8.4B unorganized sector (private rentals & homestays), consistent with 'Beyond Beds' 2023 methodology.

Weekly Rental Rates by City (A$)

Sydney commands 49% premium over on-campus rates

Sydney CBD
A$580-625
Melbourne CBD
A$520-580
Brisbane
A$420-450
Adelaide
A$340-380
Perth
A$350-400
Canberra
A$320-360

Occupancy Performance by City (2025/26)

Crisis-level occupancy across all markets, 97%+ confirms accommodation emergency

Sydney
98%
Crisis
Melbourne
97%
Crisis
Brisbane
97%
Crisis
Perth
98%
Crisis
Adelaide
96%
Tight
Canberra
94%
Balanced

Supply-Demand Analysis by City

Bed gap analysis across Australia's major student markets

CityStudentsCurrent BedsBed GapStudents/BedPriority
Sydney410,00034,00027,40012.0🔴 CRITICAL
Melbourne435,00044,00021,3009.9🔴 CRITICAL
Perth156,0007,50018,00020.7🔴 CRITICAL
Brisbane189,00012,60015,00015.0🔴 CRITICAL
Adelaide98,0005,4008,50018.0🟡 HIGH
Canberra40,00010,0001,0003.9🟢 BALANCED
Critical: >15K bed gap High: 5-15K bed gap Balanced: <5K bed gap

Top Operators by Bed Count

Top 4 operators control 61% of market, oligopolistic structure

UniLodge*
45,000 (29%)
Scape
19,000 (21%)
CLV
27,000 (5%)
Iglu
8,000 (6%)
Greystar
5,662 (4.3%)
Y Suites
4,400 (3.3%)
Market Concentration: Top 4 = 61% | Fragmented tail = 39% (M&A target)
*UniLodge: Manager model (~45K beds under management). Scape: Owner-operator model (~19K owned beds).

Market Structure

Organized 30% vs Unorganized 70% of TAM

A$12BTAM
Organized PBSA: A$3.6B (30%)
Unorganized: A$8.4B (70%)
Pipeline: ~40,000 beds (~20K deliverable)

Supply by City: Current Beds + Pipeline

Melbourne leads with 44K beds; Perth pipeline addresses severe undersupply

Melbourne
44K + 8.9K
Sydney
34K + 6.8K
Brisbane
12.6K + 7.1K
Canberra
10K + 0.4K
Perth
7.5K + 5.4K
Adelaide
5.4K + 3.1K
Current Pipeline

Interactive PBSA Market Maps

Two views of the Purpose-Built Student Accommodation (PBSA) market. Where cities are crowded, markers group into a count, click or zoom to fan them out.

-Capital-city markets
-Universities plotted
-PBSA operators
169KTotal beds nationwide

1. University Demand

Every university, sized by enrolment. Click a cluster to expand.
University (size = enrolment) 12Cluster (click to expand)

2. PBSA Supply & Operators

City markets carry pricing and gap. Individual operator buildings are geolocated from published property listings and clustered; use the layer control (top-right) to toggle buildings, operator HQ and city markets.
City: severe undersupply City: undersupply City: balanced
Buildings (colour = operator): UniLodge Scape CLV Iglu Student One Y Suites The Switch Journal Yugo Student Housing Aus (by suburb) Operator HQ (toggle)

Data: RAYSolute Australia Student Housing Market workbook, as of January 2026. Compiled from publicly available official sources (including the Australian Government Department of Education) and RAYSolute's own research and analysis. Basemap and geocoding © OpenStreetMap contributors, © CARTO and Esri. University markers are geocoded from campus locations. Individual PBSA building markers are geolocated from published operator property addresses (UniLodge, Scape, Campus Living Villages, Iglu, Yugo, Y Suites, The Switch, Journal, Student One); Student Housing Australia operates a managed-apartment model and is shown at suburb level, and a minority of points resolve to campus or suburb precision. The optional operator brand-HQ pins remain indicative of the primary market for each operator.

Demand Analysis & Supply Gap

6% penetration vs UK 54% = 558K bed shortfall (14x current pipeline), multi-decade development runway

1.51MTotal StudentsDept of Education 2024
496KIntl Students32.7% of total
11.4Students per Bedvs UK 2.7
14xPipeline Deficit40K vs 558K needed

Top Universities by Enrollment

Monash leads with 93,227 students (45% international)

Monash
93,000 (45% intl)
RMIT
91,000 (50% intl)
Melbourne
87,000 (44% intl)
UNSW
85,000 (47% intl)
Sydney
84,000 (51% intl)
Deakin
59,455 (28% intl)
50%+ International 40-50% International

Students per PBSA Bed by City

Regional markets show extreme undersupply (32:1 ratio)

Regional
32:1 Crisis
Perth
20.7:1 Severe
Adelaide
18:1
Brisbane
15:1
Sydney
12:1
Melbourne
10:1
Canberra
3.9:1

💰 Affordability Analysis: Rent-to-Income Ratio

Accommodation Cost Burden by City

% of student income consumed by PBSA rent (critical threshold: 60%)

Sydney
72%
⚠️ Unaffordable
Melbourne
68%
⚠️ Unaffordable
Brisbane
58%
🔶 Stressed
Perth
55%
🔶 Stressed
Adelaide
52%
✓ Manageable
Canberra
48%
✓ Manageable

Calculation: Avg PBSA rent ÷ (Work income ~A$24K + Govt support ~A$18K). Values >60% indicate severe affordability stress.

The "Budget PBSA" Gap

New supply is Premium-skewed; demand is Mid-Market heavy

SUPPLY (New Pipeline)

Premium (A$550+)45%
Mid-Market (A$400-550)40%
Budget (15%

DEMAND (Student Preference)

Premium (A$550+)15%
Mid-Market (A$400-550)45%
Budget (40%

Strategic Insight: 40% of demand is Budget tier but only 15% of pipeline. Mid-tier development offers best risk-adjusted returns.

The Penetration Gap: Australia vs UK Benchmark

PBSA Penetration by City

Australia's 6% vs UK's 54% = 9x gap

UK (Benchmark)
54%
Canberra
25.6%
Brisbane
11.7%
Melbourne
10.1%
Sydney
8.3%
Adelaide
7.9%
Perth
4.8%

Beds Required to Match UK (558K Total)

A$84B development capital needed over two decades

Melbourne
191K beds
Sydney
187K beds
Brisbane
85K beds
Perth
62K beds
Adelaide
53K beds
Canberra
12K beds

International Student Dependency: The Structural Demand Driver

International Student % by University

Top universities: 44-51% international, primary PBSA demand

Sydney Uni
51%
RMIT
50%
UNSW
47%
Monash
45%
Melbourne
44%
Swinburne
36%

Higher Education Revenue Mix

International fees = A$12.3B (27%), largest single source

A$45BTotal Rev
Intl Student Fees: A$12.3B (27%)
Domestic Fees: A$10.8B (24%)
Research: A$9.0B (20%)
Government: A$8.1B (18%)
Other: A$5.0B (11%)

The Policy Variable: NPL Caps and the Flight to Quality

!

National Planning Level (NPL) Caps: The Thesis Stress-Test

The Australian Government's NPL caps set a ceiling of 270,000 international student commencements in 2025 and 295,000 in 2026, down from a pre-cap peak above 500,000. This is the single most significant policy variable in the investment thesis. Crucially, caps do not compress demand uniformly: they consolidate it selectively into higher-quality institutions and cities, functioning as a thesis clarifier, not a thesis-breaker, for premium PBSA near Group of Eight (Go8) campuses.

BEAR CASE

  • Aggregate international enrolment falls 12 to 18%
  • Regional and mid-tier institutions absorb most of the decline
  • Bed shortfall narrows from 558K to approximately 460K to 490K
  • Occupancy at non-Go8 assets risks dipping toward 92 to 94%

FLIGHT TO QUALITY (Base Case)

  • Caps consolidate enrolments into Go8 universities
  • Premium Tier-1 PBSA near Go8 campuses: demand stable to growing
  • Marginal operators and speculative pipeline exit market
  • Supply tightens further relative to quality demand

INVESTOR IMPLICATION

  • Go8-proximate location filter becomes a non-negotiable underwriting criterion
  • Tier-2 city entry warrants caution until 2026-27 enrolment data is published
  • Pipeline rationalization favours incumbents with established Go8-proximate assets
  • Regulatory headwind becomes a competitive moat for existing operators

Go8 vs Non-Go8: NPL Cap Impact by University Tier

DimensionGo8 Universities (Sydney, Melbourne, UNSW, Monash, etc.)Mid-Tier and Regional Institutions
Cap ExposureLow: students self-select Go8 for visa and career outcomes regardless of capHigh: enrolment volume dependent on aggregate cap allocation to the tier
PBSA Demand ImpactStable to growing: guaranteed housing as a Go8 international recruitment toolSoftening risk if enrolments fall 15%+; monitor occupancy quarterly
Investment ConvictionBUY: Core thesis intact; consolidation effect provides additional supportSELECTIVE: campus-level demand modelling required before deployment
City Priority Matrix ImpactSydney and Melbourne rankings unchanged; Brisbane (UQ/QUT) and Perth (UWA) well-supportedSecondary and regional markets require bear-case occupancy buffer in underwriting

Key Takeaway: NPL caps create a counter-intuitive dynamic for PBSA investors. They reduce the aggregate pool of international students while simultaneously concentrating the highest-value cohort into Go8 campuses in Tier-1 cities. The 558K bed shortfall narrows to approximately 460K to 490K in the bear case, still a 10x to 12x deficit against current pipeline. The investment thesis is stress-tested and clarified by NPL policy, not broken by it. Allocate to Go8-proximate assets with conviction; apply a discount to regional and lower-tier university-adjacent supply.

Investment & Financial Analysis

A$4.5B institutional investment since 2019 validates sector transition from 'alternative' to 'core' asset class

A$4.5BInvestment Since 2019Institutional capital
A$150KDev Cost/BedHigh barrier to entry
15%+Target IRRAchievable with ops
1.8xMoM Return5-year hold

Value Creation Bridge (5-Year Hold)

1.8x MoM: Operational + Financial Engineering

Revenue Growth
+A$350M
Margin Expansion
+A$180M
Multiple Expansion
+A$220M
Debt Paydown
+A$150M
Operational: A$530M (59%) | Financial: A$370M (41%)

🧮 PBSA Investment Yield Estimator

Estimate valuation and NOI based on Q1 2026 Australian market benchmarks.

Estimated Gross Yield 5.50%
Gross Income (52 wks): A$6.4M
Net Operating Income (NOI): A$4.5M
Est. Asset Value: A$81.8M
🇮🇳

For Indian Family Offices & HNIs

Australian PBSA offers an AUD-denominated hedge with proximity to Indian student demand (India = 2nd largest source country). Yields (5.5-6.5%) significantly outperform domestic residential (2-3%), with professional management removing 'absentee landlord' risk.

6.0%
AUS PBSA Yield
2.5%
India Resi Yield
2.4x
Yield Advantage

Note: LRS ($250K/year) or corporate structures available for cross-border investment.

⚠️ Scale Economics, 35% Cost Advantage for Incumbents

Experience curve: Each doubling of beds = 15% cost reduction. New entrants face structural disadvantage.

A$195K
New Entrant (2K beds)
Per-bed dev cost
A$160K
Mid-Scale (10K beds)
18% advantage
A$125K
Scaled Operator (30K+)
35% advantage
26%
Fragmented Tail
M&A target zone

Strategic Implication: M&A consolidation of fragmented operators (26% of market) offers higher risk-adjusted returns than greenfield development for new entrants.

Financial Stress-Test: Levered IRR vs Cost of Capital

IRR Sensitivity Matrix

Gross yield vs effective cost of debt (60% LVR, 5-year hold, 30% OpEx ratio, 97% occupancy, 4% annual rent growth, exit at entry cap rate). Illustrative modelling: independent verification required for investment decisions.

Cost of Debt
Gross Yield
3.5%
Pre-tightening
4.5%
Current (RBA)
5.5%
+100bps stress
6.5%
Severe stress
5.0% (Premium CBD) 17% 14% 10% 7%
5.5% (Core) 20% 16% 13% 10%
6.0% (Core Plus) 23% 19% 15% 12%
6.5% (Emerging) 26% 22% 18% 14%
7.0% (Value-Add / M&A) 28% 24% 21% 17%
IRR above 12%: Institutional target met IRR 8-12%: Acceptable for core capital IRR below 8%: Below cost of equity threshold Current conditions

Read-across: At current market conditions (4.5% effective debt cost), core PBSA assets yielding 5.5% generate approximately 16% levered IRR, comfortably above the 15% institutional target referenced in the headline stats. A 100bps rate rise to 5.5% compresses this to ~13%, still clearing the hurdle rate. Only at the combined stress scenario of 6.5% cost of debt AND sub-5% gross yield does the thesis weaken. This confirms yield quality and location selection, not macroeconomic timing, as the primary return driver. Source: RAYSolute PBSA financial modelling framework; illustrative figures only.

Why the A$125K vs A$195K Gap Exists: Incumbent Advantage Anatomy

Rising construction costs are widening the barrier to entry for greenfield developers, compounding the scale advantage of established operators year on year

INCUMBENT ADVANTAGES (A$125K per bed)

Pre-existing Land Banks
Land acquired at 2015-2019 prices: saving of A$18,000 to A$25,000 per bed vs inner-city land at current valuations.
Supply Chain Leverage
Frame and fit-out contracts at 5,000+ beds per year deliver 12 to 18% procurement discounts vs one-off spot pricing.
Standardised Design IP
Repeatable room modules (used by Scape, CLV) reduce architectural and engineering fees by A$3,000 to A$6,000 per bed.
Preferred Contractor Priority
Long-term builder relationships secure cost certainty and allocation priority during peak construction periods.

NEW ENTRANT HEADWINDS (A$195K per bed)

Construction Cost Inflation
Residential construction costs up 14 to 18% since 2023 (ABS data); labour shortages in mechanical, electrical and plumbing trades add a further timing premium.
Planning Risk Holding Cost
18 to 24 month NSW approval timelines add a holding cost of A$8,000 to A$12,000 per bed, absorbed before construction starts.
Market-Rate Land Acquisition
Inner-city land at 2025 valuations adds a scarcity premium of A$20,000 to A$35,000 per bed vs incumbents' already-sunk land cost.
Financing Cost Premium
No track record adds 75 to 150 basis points to construction finance rates vs established operators with institutional lender relationships.
A$70K
Structural cost gap per bed (incumbent vs new entrant)
A$21M
Disadvantage on a 300-bed Sydney greenfield asset
M&A
Preferred entry route for new capital into the sector

A new entrant building 300 beds in Sydney today starts at an estimated A$21M structural disadvantage vs a scaled incumbent. Consolidating the fragmented 26% operator tail delivers incumbent cost structures without the greenfield risk premium. As construction costs continue to rise, this A$70K per bed gap compounds further, making M&A consolidation increasingly superior to greenfield development for new capital entering the sector.

🌿 ESG & The Green Premium

Sustainability is no longer optional, it is a value driver. Green Star rated assets command 4.2% rental premiums.

+4.2%Green Rent PremiumCertified vs Non-Certified
-12%OpEx SavingsEnergy-efficient assets
-15bpsCap Rate CompressionGreen certification benefit
-8%Brown DiscountPre-2015 stock penalty

The Green Value Stack

Valuation uplift from sustainability features

Rent Premium
+4.2% Higher Rents
OpEx Savings
-12% Utility Costs
Cap Rate
-15bps Compression
Tenant Demand
78% prefer green bldgs

Green Star Rating (Australian Standard): 5-6 Star rated assets achieve the full value stack. Target minimum 5-Star for new development.

Carbon Intensity Trajectory

Path to Net Zero 2030, NABERS Energy benchmarks

120
kgCO₂/m²
(2020 Avg)
85
kgCO₂/m²
(Current Avg)
Zero
Net Zero
(Target 2030)
🏅
Green Certified
Premium A$/bed
📉
Non-Certified
'Brown Discount' -8%

⚠️ The "Brown Discount", Vintage Stock Valuation Penalty

Pre-2015 assets without energy upgrades face 8-12% valuation discount at exit

NEW BUILD (Post-2020)

  • 5-6 Star Green Star rating
  • NABERS 5.0+ Energy rating
  • Solar PV + battery storage
  • Full value, no discount

RETROFIT CANDIDATE (2010-2015)

  • 3-4 Star Green Star potential
  • LED + HVAC upgrades required
  • A$8-15K/bed retrofit cost
  • 4-6% discount if unremediated

OBSOLETE STOCK (Pre-2010)

  • No Green Star pathway
  • High energy intensity
  • A$25K+/bed to remediate
  • 8-12% 'brown discount' at exit

Strategic Implication: ESG retrofit is no longer optional, it's a value preservation imperative. Institutional buyers now require ESG due diligence as standard.

🏗️ Development Pipeline Funnel

"Applied" ≠ "Approved", Understanding the 40K pipeline by delivery certainty (~20K deliverable)

12,800Under ConstructionHigh certainty (2026-27)
9,600ApprovedMedium certainty (2027-28)
6,400In PlanningLower certainty (2028+)
3,200AnnouncedSpeculative

Pipeline Risk Funnel (40,000 Beds Total)

Only 32% of pipeline is "high certainty", under construction. NPL cap of 295,000 for 2026.

Under Construction
12,800 beds (40%)
🟢 HIGH
Approved
9,600 beds (30%)
🔵 MEDIUM
In Planning
6,400 beds (20%)
🟡 LOW
Announced Only
3,200 beds (10%)
🔴 SPECULATIVE

Note: Historically, 15-20% of "In Planning" beds do not proceed due to council rejections or economic conditions.

Pipeline by City & Delivery Status

Brisbane pipeline most advanced; Perth most speculative

Melbourne8,875 beds
3,500
2,800
1,800
775
Brisbane7,118 beds
3,200
2,400
1,200
Sydney6,849 beds
2,800
2,200
1,400
449
Perth5,354 beds
1,800
1,400
1,400
754
Adelaide3,121 beds
1,200
600
800
521
Canberra406 beds
300
100
Under Construction Approved In Planning Announced

Typical Planning Approval Timeline by State

Average months from DA submission to construction commencement

NSW (Sydney)
18-24
months
VIC (Melbourne)
14-18
months
QLD (Brisbane)
10-14
months
WA (Perth)
8-12
months
SA (Adelaide)
8-12
months
ACT (Canberra)
12-16
months

Strategic Implication: Brisbane and Perth offer fastest time-to-market. Sydney's lengthy approvals create supply constraints but also barriers to competition.

🎓 University Partnership Models (JV Deep Dive)

DBFO structures and nomination agreements, de-risking development through institutional partnerships

The DBFO Partnership Structure

Design, Build, Finance, Operate, university provides land, operator provides capital

🏛️
UNIVERSITY
Contributes:
  • Ground lease (40-99 years)
  • Demand guarantee (nominations)
  • Planning support
  • Brand association
JV AGREEMENT
🏗️
PRIVATE OPERATOR
Contributes:
  • Development capital
  • Construction management
  • Operations expertise
  • Revenue guarantee to uni

Nomination Agreements Explained

University guarantees occupancy for % of beds, key risk mitigant

Standard Nomination 40-60%

University commits to fill 40-60% of beds with first-year students

Premium Nomination 70-100%

Full underwrite, university responsible for all vacancies

Rent Guarantee Fixed + CPI

University pays agreed rate regardless of actual occupancy

Investor Benefit: Nomination agreements can reduce development risk by 30-50% and improve debt financing terms by 50-75bps.

Priority University Partnership Targets

Universities with minimal on-campus capacity = highest partnership potential

UniversityStudentsOn-Campus BedsCoveragePartnership Potential
Monash University93,2272,8003.0%★★★★★ EXCELLENT
UNSW Sydney82,2833,2003.9%★★★★★ EXCELLENT
RMIT University75,9091,5002.0%★★★★★ EXCELLENT
University of Sydney78,8824,1005.2%★★★★☆ STRONG
University of Melbourne75,5724,5006.0%★★★★☆ STRONG
ANU (Canberra)25,0006,20024.8%★★☆☆☆ LIMITED

Strategic Framework

City prioritization, SWOT analysis, and investment thesis

Porter's Five Forces

MODERATELY ATTRACTIVE (3.2/5): supplier power is primary structural concern

Buyer Power
LOW (2/5)
Supplier Power
HIGH (4/5)
Substitutes
LOW (2/5)
New Entrants
MODERATE (3/5)
Rivalry
MODERATE (3/5)

City Investment Priority Matrix

Sydney #1 (84.8), Melbourne #2 (82.3), Perth first-mover opportunity

Sydney
INVEST, Score 84.8
Melbourne
INVEST, Score 82.3
Brisbane
INVEST, Score 74.1
Perth
SELECTIVE, Score 71.5
Adelaide
SELECTIVE, Score 67.2
Canberra
HARVEST, Score 57.8

Sector SWOT Analysis

Strengths

  • 97%+ occupancy = crisis-level demand
  • 6% penetration = 9x UK benchmark
  • A$12.3B intl fee revenue = structural demand

Weaknesses

  • High dev costs (A$150K/bed)
  • Planning/approval delays (18-24mo NSW)
  • 100% annual tenant turnover

Opportunities

  • A$8.4B unorganized sector = capturable
  • Perth first-mover advantage (4.8%)
  • University JV partnerships

Threats

  • Visa policy changes (intl students)
  • Construction cost inflation (+15%)
  • Interest rate sensitivity

Strategic Imperatives

Core Allocations

Concentrate on Sydney and Melbourne (65% of market) for proven demand and institutional liquidity

First-Mover Play

Enter Perth aggressively, 4.8% penetration, 20.7 students/bed = maximum undersupply

M&A Strategy

Target 26% fragmented operator tail for consolidation synergies and scale economics

University JVs

Partner with institutions exiting accommodation, secure demand + 40-60% nomination agreements

Market Risk Zones

🟢 INVEST, Core
  • Sydney, Melbourne, Brisbane
  • Occupancy 97%+
  • Largest student populations
  • Institutional liquidity
🟡 SELECTIVE, Opportunity
  • Perth, Adelaide
  • First-mover advantage
  • Higher undersupply metrics
  • Patient capital required
🔴 HARVEST, Avoid
  • Canberra, Regional
  • 25.6% penetration (near balanced)
  • Limited scale opportunity
  • Exit or hold only

Investment Thesis

6% penetration vs UK 54% ensures multi-decade development runway; 558K bed shortfall = 14x current pipeline

A$84BDev Capital Needed
A$18B30% Penetration TAM
558KBed Shortfall
97%Crisis Occupancy

Vital Sign Thresholds

MetricCriticalWarningHealthy
Occupancy< 90%90-94%> 94%
Students per Bed> 105-10< 5
Penetration Rate< 10%10-20%> 20%
Pipeline/Gap Ratio< 30%30-60%> 60%
Green Star Rating< 4 Star4 Star5-6 Star

Emerging Growth Vectors

Premium product development and AI-powered leasing define the next cycle

Product Differentiation Matrix

Co-working & Wellness = underserved differentiators for premium

🎯
HIGH PRIORITY
Study Rooms, Gym, Proximity
💎
DIFFERENTIATORS
Co-working, Wellness, Premium

Premium Tier Opportunity (A$600+/week)

  • Affluent international segment (China, India)
  • Co-working spaces (72% importance, 45% delivery = gap)
  • Wellness programming = competitive moat

🤖 AI Leasing: GEO Strategy

Generative Engine Optimization for AI-driven discovery

🔍 Traditional SEO
Optimizing for Google rankings
Declining relevance as Gen Z uses AI
🚀 GEO Strategy
Optimizing for AI citation
First-mover advantage available
📊 RAYSolute offers GEO optimization for student housing operators

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Important Notice and Sources

This report is published by RAYSolute Consultants for general information and market commentary only. It does not constitute investment, financial, legal or tax advice, nor an offer, inducement or invitation to engage in any investment activity. All figures are indicative estimates compiled from public and third-party sources together with RAYSolute analysis, are subject to change, and should be independently verified before any decision is taken. RAYSolute accepts no liability for any reliance placed on this material. Company, university and market names appear for factual reference only; no affiliation, endorsement or sponsorship is implied.

Sources: compiled from publicly available official sources, including the Australian Government Department of Education, and RAYSolute's own research and analysis. Data as of January 2026. Interactive map basemaps © OpenStreetMap contributors, © CARTO and Esri.