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Student housing has unique investment dynamics, especially when it comes to assessing risk and profitability. One of the most powerful tools for evaluating a property’s financial viability is the DSCR calculator—particularly one that incorporates per-bedroom income analysis.
In this article, we’ll break down what DSCR means in the context of student housing, why analyzing income per bedroom is crucial, and how to use a DSCR calculator effectively to support your investment strategy.
DSCR (Debt Service Coverage Ratio) measures a property’s ability to cover its debt obligations with its net operating income (NOI). The formula is simple:
DSCR = Net Operating Income / Annual Debt Service
In traditional real estate, this is often assessed at the unit level. But for student housing, where leases are typically signed per bedroom rather than per unit, using a traditional DSCR method can lead to inaccurate or misleading insights.
Student housing tenants—typically college students—are usually not co-signing a lease as a group. Each student pays rent for their individual bedroom, often with a separate lease agreement. This setup changes the cash flow dynamic significantly:
Per-bedroom income analysis enables more precise income projections, which leads to better DSCR estimates.
Tip: A property with four bedrooms rented at $750 each has $3,000 in monthly gross income, not $750 or $1,500 as you might assume under traditional models.
A student housing-specific DSCR calculator incorporates inputs such as:
It then calculates:
A good calculator also allows for sensitivity analysis to test different rent rates or occupancy scenarios.
Lenders typically look for a DSCR of 1.20 or higher, meaning the property generates 20% more income than is required to service the debt.
For student housing:
At Kaleidico, we offer tailored financial modeling and digital tools to support your investment journey. Be sure to explore these:
Traditional DSCR | Per-Bedroom DSCR |
Less accurate for shared housing | Tailored to student housing |
One lease per unit | Multiple leases per unit |
Poor vacancy modeling | Detailed occupancy forecasting |
Understates income potential | Reflects true rental performance |
Because each bedroom is leased separately in student housing, which generates more granular and typically higher revenue streams.
Most lenders look for a minimum DSCR of 1.20, though some may approve deals as low as 1.10 with compensating factors.
Common items: property management, utilities, insurance, repairs, and maintenance.
Using a student housing DSCR calculator with per-bedroom income analysis is one of the smartest ways to assess your deal’s viability and impress lenders. Whether you’re buying, refinancing, or building from scratch, this analytical lens gives you the edge in a competitive market.
Let us help you take the guesswork out of student housing finance.
Our advise is based on experience in the mortgage industry and we are dedicated to helping you achieve your goal of owning a home. We may receive compensation from partner banks when you view mortgage rates listed on our website.