מחשבון דיור לסטודנטים

In this scenario, an investor is underwriting a 200-bed asset (Calc) with an average monthly rent of $800 per bed (Student Housing Calc). Assuming a stabilized occupancy rate of 95% (Rate), the calculator multiplies $800 by 200 beds to get a gross potential revenue of $160,000. Applying the 95% occupancy rate yields a true monthly gross revenue of $152,000, illustrating the impact of a standard 5% vacancy allowance on cash flow.

This example models a premium, pedestrian-to-campus high-rise asset. With 400 beds (Calc) priced at a premium rate of $1,200 per bed (Student Housing Calc) due to its proximity to campus, and a high occupancy rate of 98% (Rate) driven by strong student demand, the asset generates a substantial monthly gross revenue of $470,400. This demonstrates the superior revenue density of prime student housing locations.

This scenario represents an underperforming value-add acquisition target. The property has 150 beds (Calc) leasing at a below-market rate of $650 per bed (Student Housing Calc) with a depressed occupancy rate of 85% (Rate) due to deferred maintenance. The current monthly gross revenue is calculated at $82,875. Investors can use this baseline to model the revenue lift achieved after capital expenditures and management restructuring.

This conservative model analyzes a small boutique Greek housing facility or private student cooperative. With a limited capacity of 40 beds (Calc), an affordable monthly rate of $500 per bed (Student Housing Calc), and a conservative occupancy rate of 90% (Rate), the monthly gross revenue is projected at $18,000. This highlights how smaller-scale assets can still provide predictable, steady cash flows with lower operational overhead.

Master Lease Agreements with Universities

When a university master-leases an entire off-campus student housing asset, the operational risk profile shifts dramatically. In this scenario, the university guarantees 100% occupancy and pays a lump sum directly to the owner, eliminating individual tenant default risk and turn costs. However, the university typically demands a significant discount (often 10% to 20% below market rates) on the per-bed rent. Underwriters must adjust the occupancy rate to 100% and lower the rental rate variable to reflect this low-risk, lower-yield structure.

Double-Occupancy and Shared Bed Configurations

In highly supply-constrained markets or urban campuses, developers may design double-occupancy rooms where two students share a single bedroom. This configuration increases the bed count (Calc) beyond the physical bedroom count of the building. While the rent per bed (Student Housing Calc) is lower for a shared room than a private room, the total revenue generated per square foot is significantly higher. Modeling these assets requires careful market comparison to ensure there is sufficient student demand for shared living arrangements.

Co-Living and Non-Student Demographic Infiltration

If a university experiences a sudden decline in enrollment, student housing operators may be forced to lease vacant beds to young professionals or non-student co-livers to maintain occupancy. This transition alters the risk profile of the asset, as non-student tenants do not have parental guarantees and are less aligned with the academic calendar. When underwriting an asset in a declining market, analysts must run sensitivity models with lower occupancy rates and increased bad debt provisions to account for this demographic shift.