Student housing

At 8:03 a.m. on move-in Saturday, three hundred students arrive with parents, mini-fridges, and reasonable expectations that the keys work. One elevator does not. Twelve bedrooms still need paint. A couch has appeared in a stairwell.

That is student housing before the drone footage: apartments pushed through an academic calendar with almost no room for late work.

The property needs signed leases for the correct beds, qualified guarantors, finished turns, working internet, and an operating team that can land the entire plane before classes begin. Miss the window and an empty bed may remain empty for the academic year.

The leasing season behaves like a salmon run

Conventional apartments can often recover from a weak month through continuous leasing. Student housing gets one major migration. Preleasing begins months before move-in, reacts to admissions and university-housing deadlines, and can change when students choose roommates, transfer, withdraw, study elsewhere, or select a newer property.

The animal feeds once a year. Ownership has to know the timing by week, bed, floorplan, rate, renewal status, guarantor, and ready date. October enthusiasm cannot swim back to September and fill the missed lease.

Lease structure also changes the risk. A four-bedroom unit may contain four bed leases, four rates, four guarantors, and four collection files. Or it may have one joint lease with different credit and roommate consequences. Ask which document exists. “Four occupied beds” does not answer.

Fannie Mae’s current Dedicated Student Housing guide is useful even when Fannie Mae is not the lender. It asks about enrollment, location, transportation, future housing supply, preleasing, student concentration, lease terms, and guarantees. A university logo on a map is not a source of repayment.

Enrollment is the top of the demand funnel

A large school can still produce weak off-campus demand. Separate total enrollment from full-time enrollment, undergraduate from graduate, in-person from distance learners, and students needing local housing from everybody the institution counts.

Pull five years of Fall Enrollment and 12-month Enrollment from the Department of Education’s IPEDS data tools. Compare them with registrar census reports, the institutional fact book, Common Data Set, admissions reports, and board materials. Differences may reflect dates or definitions. They still need reconciliation.

Read the first-year live-on rule, exemptions, on-campus rates, dorm capacity, waitlist, master plan, capital budget, and approvals for new beds. A 2,000-bed dorm project is competing supply with a university letterhead.

Map private supply through planning-commission packets, zoning cases, building permits, and certificates of occupancy. The Census Bureau publishes current Building Permits Survey data, but metro totals cannot replace a local project list. Call the jurisdiction and inspect the sites.

Let 36 beds take $508,800

Consider a clearly hypothetical 520-bed property. The acquisition model assumes 494 signed leases, or 95 percent occupancy, at an average rent of $925 per bed per month. Actual lease-up stops at 458 signed leases, about 88.1 percent.

The 36 missing leases cost:

36 beds x $925 x 12 months = $399,600 of annual gross rent.

Now open the turn records. The model allowed $400 per bed. Actual labor, paint, cleaning, flooring patches, furniture, and trash-out average $610. The overage is:

520 beds x ($610 - $400) = $109,200.

The combined miss is $508,800 before bad debt, concessions, utilities on vacant bedrooms, or legal costs.

No exit-cap debate is required. The property failed to lease 36 beds and mispriced what August does to furniture.

This is a worked diligence example, not a real property or forecast. It exposes the class-specific failure mode: missed preleasing and late turns cross the academic deadline, converting correctable weekly execution problems into nearly annual vacancy and immediate cash loss.

Open the rows behind “preleased”

Start with a bed-level lease export. For every bed, require unit, floorplan, lease dates, gross and effective rent, concession, application date, countersignature date, deposit, guarantor, cancellation status, renewal status, and referral source. Reconcile signed leases with the property-management system, tenant ledger, deposits, and bank receipts.

Request weekly prelease reports for the current cycle and matching weeks in the prior three cycles. Break the records out by bedroom count, floorplan, rate, and renewal versus new lease. Read the general ledger, aged receivables, bad-debt write-offs, skips, evictions, and chargebacks by academic year.

For turns, inspect:

• Move-out roster, unit inspection forms, damage photos, work orders, vendor bids, purchase orders, and invoices.
• Staffing schedule, furniture inventory, daily ready-board, and backup plan for missed vendors.
• Internet contract and tickets, shuttle logs, parking permits, towing complaints, security incidents, and annual fire inspection.

Compare the operator’s safety account with the school’s Annual Security Report and the Department of Education’s Campus Safety and Security data. Campus statistics do not describe every private property. They can reveal a selectively drawn neighborhood story.

The word preleased can do gymnastics

“Ninety percent preleased” sounds precise until you ask for the numerator.

It may include applications without countersigned leases, leases missing guarantees, staff beds, model units, cancellations not removed, or deeply discounted renewals. The denominator may exclude offline beds or count units when leasing occurs by the bed. A weak four-bedroom product can disappear inside one blended percentage.

Demand the definition, timestamp, and raw rows. Calculate physical prelease, economic prelease, and qualified prelease separately. If the percentage cannot be reproduced from the export, it is not operating evidence.

Ownership must run leasing and turns as one schedule. A signed lease attached to an unfinished bed cannot house anybody. A finished bedroom without a lease cannot pay debt. The move-in plan is where the two departments stop sending each other emails and start producing keys.

Questions for the weekly call

• On what date did each prior season reach 50, 75, 90, and 95 percent?
• Which floorplans lag now, and which concessions moved them last year?
• How many signed leases lack an approved guarantor or required deposit?
• What happens when a student does not enroll, loses a roommate, or studies abroad?
• How many competitive beds are approved, under construction, or awaiting certificates of occupancy?
• Which dorm policy, shuttle change, or calendar change damages this location fastest?
• Who owns turn completion each day, and who takes over when a vendor misses?

Build the bed matrix

Take the current lease export and make one row per bed. Add prior-year rent, current asking rent, signed rent, concession, guarantor status, renewal flag, and ready date. Sort first by unsigned bed, then incomplete guarantee, then late turn.

That sheet forces leasing, collections, and operations into the same river. If ownership cannot build it from current records, stop discussing upside. The salmon run is approaching, and the operator does not know which beds are upstream.