DSCR Loans in North Dakota
Most rental markets ask you to underwrite rent that grows slowly or holds flat. Parts of North Dakota have done something rarer within living memory: rents rose to among the highest in the country, then fell hard. That history is the most useful thing an investor here can study.
Reviewed by Andrew Pawlak · Updated
Rental underwriting almost everywhere rests on a quiet assumption: that rent is sticky. It may grow slowly, it may stall, but it rarely falls far. That assumption is usually reasonable, and parts of North Dakota are the exception that shows what happens when it does not hold.
During the Bakken drilling boom, the housing shortage in the state's western oil counties became severe enough that rents in Williston briefly ranked among the highest in the United States, exceeding major coastal cities. When drilling activity retreated, rents fell substantially from those peaks. Supply that had been started during the shortage kept arriving afterward. Today rents in that market sit well below their boom levels, and the market has spent years working back toward stability.
The buildings are still standing. The rents that justified them are not.
The payment does not move when the rent does
This is the mechanical heart of underwriting a cyclical market, and it is worth stating plainly because the coverage ratio disguises it.
DSCR divides rent by full PITIA. Both sides of that fraction look equally solid on the day it is calculated. They are not. Principal and interest on a fixed-rate loan are contractual and unchanging. Taxes and insurance drift, generally upward. The rent, in a market whose income base is tied to a single cyclical industry, is the one input capable of moving sharply in either direction.
So a coverage ratio computed at the top of a cycle is not a measurement of a property. It is a measurement of a moment. A ratio that reads comfortably at peak rent can pass through 1.0 and keep going without anything about the loan changing at all, because the only flexible term in the equation was the numerator.
That asymmetry is the entire risk, and it does not appear anywhere in the number.
Underwrite the trough, not the average
The natural response to a volatile market is to use an average, which feels conservative and is not conservative enough. An average blends the good years back in. The question that matters is what the property does in the bad ones, because the bad ones are when a payment becomes difficult rather than merely annoying.
The practical exercise is straightforward. Take the rent the property currently commands, then ask what it commanded during the last downturn, or what comparable properties fell to. Recompute the coverage ratio at that lower figure against the same PITIA, since the payment will not have moved. The result tells you what you are actually buying.
If the ratio still clears at trough rent, the deal is durable and everything above that is upside. If it only clears at current rent, you have bought a position that depends on the cycle not turning. That may be an acceptable bet, but it should be a decision rather than an accident, and it is a very different bet from the one the qualifying ratio appeared to describe.
Worth being clear about what this exercise is and is not. A lender qualifies the loan on the documented rent, using the lease and the appraiser's analysis. Your stressed figure never enters the file. It is for you.
Supply arrives late and does not leave
The second structural feature of a boom market compounds the first, and investors consistently underestimate it.
Housing construction responds to a shortage with a lag measured in years. Land is assembled, financing arranged, permits obtained, and units built, all while the shortage that justified the project is still visible. By the time those units deliver, the conditions that prompted them may have changed. In the Bakken counties, that pattern produced meaningful concern about overbuilding once activity slowed.
Then comes the part that distinguishes housing from most other assets. When demand recedes, the supply stays. An apartment building constructed for a workforce that has since left does not close. It competes, usually on price, which is precisely the pressure a rental owner feels as falling rent.
For an investor this argues for looking at the construction pipeline as carefully as at current occupancy. Full buildings today with substantial deliveries scheduled tomorrow describe a market in transition rather than a tight one.
Before you offer
North Dakota rewards an investor who treats the rent assumption as the risk rather than as an input.
Establish the current rent from executed leases in the ordinary way, since that is what the financing will run on. Then do the work the loan file will not do for you. Find out what this property or its close comparables rented for at the bottom of the last cycle, and recompute the ratio at that figure against the same fixed payment.
Look at what is under construction nearby, not only at what is leased. And if the deal only works at today's rent, size your reserves for the version of this market that has already happened once.
Will a lender use my stressed rent figure instead of the actual one?
No. A lender establishes rent from the executed lease and the appraiser's market rent analysis, using the more conservative of the two, and that is the number the qualifying ratio is built on. A stress test is not something you submit. It is something you run for yourself, to find out whether you can carry the property at a rent below today's before you commit to it.
If rents fall after I close, does my DSCR get recalculated?
The qualifying ratio is measured at origination and is not re-tested over the life of the loan the way a commercial covenant might be. That is genuinely good news and it is also the trap, because nothing formally breaks while the economics deteriorate. The ratio stays on paper where it was. Your bank account tracks the new rent.
Is an energy-market property harder to finance than one elsewhere?
The mechanics are the same: rent divided by full PITIA, documented the ordinary way. What differs is how much weight the rent assumption is carrying. Where local income is tied to a single cyclical industry, the same ratio represents a wider range of outcomes than it would in a diversified market, which is an argument for buying more cushion rather than for avoiding the market.
Do the state's larger eastern population centers underwrite the same way?
They are not the same market and should not share a rent assumption. Demand in the western energy counties responds to drilling activity and the workforce it brings, while the larger communities in the eastern part of the state rest on a broader base. A rent comparison drawn from one region tells you very little about the other, even though both carry the same state name on the loan file.
Why is new supply a particular concern in a boom market?
Because construction responds to demand with a lag, and buildings do not leave when the demand does. Projects begun during a shortage are frequently delivered after it has eased, which means new competition can arrive precisely when rents are already softening. When you are evaluating a rent assumption, look at what is under construction as well as what is currently leased.
We don’t work in North Dakota today. If your property is in a state where we do, we can help no matter where you live. OneMoreDoor Capital, LLC is not arranging loans in North Dakota; this page is here because the questions investors ask about financing here have answers worth publishing, and those answers stay useful whoever ends up writing your loan. Nothing on this page is an offer of credit.
We plan to list lenders who are licensed to work in North Dakota so this page can point you somewhere useful. That listing is not live yet, and it will carry a plain disclosure of how it works before a single name appears here.