Student Housing Underwriting for REPE
Bed-count revenue, academic year seasonality, university enrollment drivers, and the underwriting metrics unique to purpose-built student housing.
REPE · 6 min read
Purpose-built student housing (PBSH) is a specialized REPE asset class with its own revenue drivers, lease structures, and risk factors — and it shows up in interviews at firms with university-market exposure. The underwriting looks similar to multifamily on the surface (beds instead of units, per-bed rent instead of per-unit rent) but the operating dynamics, seasonality, and demand drivers are fundamentally different. This guide covers what makes student housing unique and how to model it correctly.
How student housing differs from multifamily
| Characteristic | Student Housing | Multifamily | |---------------|----------------|-------------| | Revenue unit | Per bed (not per unit) | Per unit | | Lease term | Academic year (9–12 months) | 12 months | | Lease timing | Pre-leasing (Oct–Feb for following fall) | Rolling throughout year | | Demand driver | University enrollment | Employment, demographics | | Occupancy pattern | 95%+ during school year; 0%–50% summer | Relatively stable year-round | | Parent guarantee | Common (parent co-signs lease) | Uncommon | | Amenity premium | High (study rooms, shuttle, furnished) | Moderate | | Turnover | Annual (every tenant is new each year) | 40%–60% annually | | Location | Walk/bike distance to campus | Broader market |
The per-bed revenue metric and academic year seasonality are the two concepts that most differentiate student housing underwriting from standard multifamily.
Revenue build: beds, rates, and pre-leasing
Potential revenue
Potential Revenue = Total Beds × Rent per Bed per Month × Lease Months
Most PBSH leases run August–July (12 months) or August–May (9–10 months with optional summer). Confirm the lease structure — it affects annual revenue significantly.
Pre-leasing velocity
Student housing leases are signed months before occupancy — unlike multifamily's rolling lease-up:
Pre-Leasing Timeline:
October–December: Early bird leasing (prior year tenants renew)
January–March: Peak leasing season (50%–70% of beds leased)
April–June: Final push (target 95%+ by August move-in)
August: Move-in; fill remaining beds
Model pre-leasing as a cumulative percentage by month, not a flat occupancy assumption:
| Month | Cumulative Pre-Leased | |-------|----------------------| | November | 15%–25% | | January | 35%–50% | | March | 60%–75% | | May | 80%–90% | | August | 95%+ |
Missing the pre-leasing curve is the most common student housing modeling error — applying a flat 95% occupancy from day one ignores the revenue ramp and the marketing/leasing cost timing.
Rent per bed
Rent per Bed = Base Rent + Amenity Fee + Parking + Other
Student housing often includes furniture, utilities, and amenities in the rent (unlike multifamily where these are separate). Compare all-in rent per bed to comps, not base rent alone.
Benchmark against:
- On-campus housing costs (university-published rates)
- Competing PBSH properties (per-bed rents within 0.5 miles)
- Historical rent growth at the property (3%–5% annually is typical)
Summer revenue
Many PBSH properties lease beds for summer sessions (internships, summer school):
Summer Occupancy: 30%–60% of beds (varies by market)
Summer Rate: Often 50%–70% of academic-year rate (shorter lease, lower demand)
Summer Revenue = Summer Beds Leased × Summer Rate × 2–3 months
Don't assume zero summer revenue — but don't assume full occupancy either. Model explicitly.
Expense structure
Student housing expenses are similar to multifamily with a few differences:
| Category | Student Housing | Notes | |----------|----------------|-------| | Property Taxes | 8%–12% of revenue | Same reassessment risk as multifamily | | Insurance | 2%–4% | Higher liability exposure (student population) | | Utilities | 3%–6% | Often included in rent; landlord pays | | R&M | 3%–5% | Higher turnover wear (annual tenant change) | | Payroll | 4%–7% | Leasing staff, resident assistants, maintenance | | Management Fee | 3%–5% | Often third-party student housing operator | | Marketing/Leasing | 2%–4% | Heavy pre-leasing marketing spend (Oct–May) | | Turnover Costs | $200–$500/bed/year | Cleaning, paint, minor repairs between tenants | | Capital Reserves | $150–$300/bed/year | Furniture replacement, common area refresh |
Marketing/leasing expense is higher than multifamily because of the concentrated pre-leasing season. Budget 2%–4% of revenue for marketing, tours, and leasing commissions during the Oct–May window.
Demand analysis: enrollment and supply
Student housing demand is tied to university enrollment — not general population demographics:
Key Demand Metrics:
University total enrollment (and trend: growing, flat, declining)
On-campus housing capacity vs. enrollment (bed deficit = off-campus demand)
PBSH supply pipeline (new deliveries within 3 miles)
University policy (mandatory on-campus years, off-campus restrictions)
Competitor occupancy and pre-leasing rates
Bed deficit is the primary demand driver:
Bed Deficit = Total Enrollment − On-Campus Bed Capacity
Off-Campus Demand = Bed Deficit × Capture Rate (typically 20%–40%)
A university with 30,000 students and 10,000 on-campus beds has a 20,000-student off-campus housing market. Your property's capture rate depends on location, amenities, and price point.
Supply risk: new PBSH deliveries near campus can saturate the market. Check the pipeline — if 2,000 new beds are delivering within 2 miles in the next 18 months, your pre-leasing assumptions need to reflect increased competition.
Debt sizing and financing
Student housing qualifies for agency (Fannie/Freddie) and CMBS financing:
Stabilized, strong university market:
LTV: 65%–75%
DSCR: 1.25x–1.30x
Debt Yield: 8%–10%
Term: 5–10 years fixed
New development or weak pre-leasing:
LTV: 55%–65%
DSCR: 1.35x+ or interest-only during lease-up
Construction/bridge financing for development
Size debt on in-place leased beds, not potential revenue. A property at 70% pre-leased in March needs a business plan to reach 95% by August — don't size debt on the stabilized number until it's achieved.
Exit assumptions
Exit Value = Forward NOI ÷ Exit Cap Rate
Forward NOI = Year N+1 NOI (fully pre-leased, market rents)
Exit Cap Rate = market cap for PBSH in submarket + 25–50 bps buffer
Student housing cap rates vary by university quality and market:
- Tier 1 university markets (Big Ten, SEC, major state flagships): 4.5%–5.5%
- Tier 2/3 university markets: 5.5%–7.0%
- Properties with enrollment decline risk: wider caps or avoid
Common interview questions
"How is student housing different from multifamily?" Per-bed revenue (not per-unit), academic year lease cycle with pre-leasing season (Oct–May), demand driven by university enrollment (not demographics), annual tenant turnover, and summer occupancy uncertainty.
"What is pre-leasing and why does it matter?" Student housing leases are signed months before occupancy. Pre-leasing velocity (cumulative % leased by month) determines revenue ramp and marketing spend timing. A property at 60% pre-leased in March needs aggressive leasing to hit 95% by August.
"How do you assess demand?" University enrollment trends, on-campus bed deficit, competing supply pipeline, and historical pre-leasing performance at the subject property. Enrollment decline is the primary demand risk.
"What about summer vacancy?" Model summer occupancy explicitly (30%–60% of beds at reduced rates). Don't assume zero summer revenue, but don't assume full occupancy either.
The takeaway
Student housing underwriting requires understanding the academic calendar, pre-leasing dynamics, and university-specific demand drivers — not just applying multifamily logic to beds instead of units. The interview skill is modeling the pre-leasing ramp honestly, tying demand to enrollment data, and stress-testing what happens if a competing property delivers 500 new beds down the street. Master these distinctions and PBSH cases become a differentiated skill in REPE interviews.
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