Student housing deals near medical or law schools behave differently and almost nobody models that distinction

The turnover math is the right place to start, and the undergraduate versus graduate professional spread you have laid out holds up structurally. The assumption doing the most work in that comparison is not the rent figure, it is the lease renewal rate, and that rate is almost never underwritten explicitly in a going-in model. It gets buried inside a generic vacancy assumption, usually 5 to 8 percent, which treats every bed as equally likely to turn. That blended figure is wrong in both directions: it overstates stability on the undergraduate side and understates it on the graduate professional side.

The concentration risk you flagged at the end is the one most people skip. A 20,000-student undergraduate body gives you a deep, diverse replacement pool when a bed turns. A 180-student JD cohort gives you a narrow one, and if enrollment drops one cycle, the absorption window for a vacant bed can extend well past the 45 days modeled on the undergraduate side. The comps problem compounds this: thin transaction volume near professional schools means the rent and vacancy data you are pricing off may be two or three years stale, or derived from properties with different bed counts and configurations that do not actually translate.

The guarantor dynamic is real but worth pressure-testing before you rely on it. A 26-year-old with work history is a cleaner co-signer conversation, but the actual co-signer requirement and enforcement mechanism lives in the lease and in your local landlord-tenant statute, which determines how much that guaranty is actually worth in a default. A real estate attorney in the jurisdiction should review that before you treat it as credit risk mitigation rather than paperwork.

The cap rate compression question I would push on: are professional school assets actually trading at the same cap rate as comparable undergraduate beds, or is the market already pricing in the lower turnover as a premium? If buyers have caught on, the spread narrows at acquisition and the operating advantage is partly given back.

What does the enrollment trend look like for the specific professional program near the asset you are evaluating?

The 60-day vacancy assumption on the undergrad side is generous in a bad way. I'm seeing sponsors in Phoenix model 45 days and then eating 75 when August move-out backs up against permitting delays on the make-ready.

The program closure point is the one I'd actually stress-test before closing. Medical school cohorts are relatively stable but some of the smaller law programs have been bleeding enrollment since 2012 and haven't recovered.

What's the total bed count in the submarket within a half-mile of the professional school, because if it's thin you might be buying into a comp problem that makes your exit harder than your entry?

Confirm the program's accreditation status and whether it has faced enrollment sanctions in the last ten years.