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Prior to my current gig I worked for a large owner/operator of student housing assets. Below are some of the the biggest differences between multi and student housing in my view:

  • Beds vs. Units- Every metric is looked at per bed vs. per unit. This is because If you have a 4-BR unit, it is not a single contract, each BR will sign their own lease.
  • Pre-Leasing Season- Assets live and die by the school year lease-up. Starting August/September each year, all institutional student housing assets begin leasing their property for the following school year. If by July/August you're still sitting with vacant beds, you're SOL. Ask for their most recent pre-leasing report with date signed, term dates, rates, concessions, etc. Also, so if they will provide the last few years pre-leasing report to see if leasing velocity is on par. Financials are typically viewed on an academic calendar as well.
  • Turnover- While this is a big expense at any multi property, turnover is massive in student housing. ~70% of beds turnover each year because of students graduating, switching properties, etc. and the entire property needs to be turned over in about a week. We would always break this out separately because it is almost as much as the full year R&M expense
  • Market Analysis- Your population is very distinct and finite. It's essentially the university's enrollment (mainly undergrad) minus any school housing policy (i.e. Freshman must live on-campus). That leaves with the actual demand that's remaining in the market, then you need to account for current and new supply coming in.
 

We didn't really use an assumption upfront. We would try to get as close as possible using the information we had. Using the university enrollment minus school housing policy, then we'd use market occupancy data to try and back into it.

Every market is different obviously. Some schools are very heavy shadow market while others seem like every student lives in some sort of off-campus apartment.

If you have access, Axiometrics is the best source of data in the student housing space.

 

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