Using A Market Data Report To Qualify A Short Term Rental — The Quick Read: A market data report helps a lender estimate what a short-term rental will earn. It’s usually built from a platform like AirDNA’s Rentalizer. The property has no hosting history yet, so there’s no signed lease to point to. Instead, the report looks at nearby comparable listings. DSCR lenders usually discount that projection before they treat it as qualifying income. Many lenders also check it against a long-term market rent figure as a safer backup. The property’s coverage ratio comes from dividing whichever income figure the lender picks by the full monthly payment. The quality of the comps in the report often matters more than the headline revenue number.
Key Takeaways
- A market data report fills the gap when there’s no lease or hosting history yet. It’s a projection, not a guarantee. Lenders usually discount it before counting it as income.
- On purchase deals, short-term rental DSCR programs typically go up to 75% loan-to-value. Cash-out and rate-term refinances on the same property type usually cap closer to 70%.
- Most STR-specific programs in the network want around a 700 credit score and about 12 months of hosting or landlord experience. A 1.00x coverage floor is common on both purchase and refinance files.
- A thin comp set — fewer than roughly 15 comparable listings — weakens any market data projection, no matter how strong the headline revenue number looks.
- Coverage below 1.00x doesn’t mean an automatic decline. Sub-1.00 structures exist through select lenders in the network, but leverage and terms shift to make up for it.
What Is a Market Data Report, and Why Does It Even Matter Here?
A market data report is a third-party analysis, usually pulled from a platform like AirDNA. It estimates how much a specific address could earn as a short-term rental by comparing it to similar nearby listings. Lenders need this because a DSCR file requires an income number, and a brand-new short-term rental purchase has no lease and no revenue history to show.
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Rate source: Freddie Mac 30-yr average via FRED® — Federal Reserve Bank of St. Louis · effective Aug 20, 2026
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Short-term rental income is documented with a 12-month history or a market data report. Program parameters update from Lendmire’s centralized guideline source.
As of Aug 20, 2026 · General Freddie Mac market benchmark, not a Lendmire loan offer. Nightly rate, occupancy, taxes, and insurance are editable estimates. Qualifying income for short-term rentals varies by program — some use appraisal market rent, others use documented STR history or projections — and is confirmed in underwriting. Not a Loan Estimate, approval, or commitment to lend. Program availability and eligibility are subject to lender guidelines, credit approval, property review, and underwriting.
AirDNA’s own documentation explains how its Rentalizer tool builds that number. Once an address is entered, the algorithm searches for comparable properties within a 10-mile radius. It matches them by bedroom count, bathroom count, and guest capacity. Then it blends those comparables’ past performance into one projection, adjusting for seasonality and local demand. That projection is just the starting point. What happens next — the discount, the cross-check against a long-term rent figure, and the final DSCR math — is where real qualification happens.
DSCR loans are built for non-owner-occupied investment properties. Because they’re business-purpose investor loans, lenders underwrite them around the property’s income instead of the borrower’s personal pay stubs or tax documents. That’s exactly why a market data report can carry so much weight on a file that would otherwise have no income proof at all.
Key Terms Defined
Market data report — a third-party analysis, most often built from a platform like AirDNA, that projects an address’s short-term rental revenue using comparable nearby listings instead of a lease or actual operating history.
Comp set — the group of similar nearby listings the market data tool uses to build its revenue projection. It matches properties by bedroom count, bathroom count, and guest capacity.
Market Score — a rating some platforms give an area to show how reliable its comp data is likely to be.
Haircut (or discount) — the amount a lender subtracts from a gross revenue projection before treating it as qualifying income. It accounts for vacancy, cleaning fees, platform commissions, and seasonal swings.
DSCR (debt-service coverage ratio) — the ratio of a property’s qualifying rental income to its full monthly housing payment (principal, interest, taxes, insurance, and any HOA dues). It shows whether the income covers the payment. It does not show whether the deal turns a profit after real operating costs.
Seasoning — how much operating history, usually measured in months, a lender wants before it trusts actual trailing revenue instead of a projection.
The Documentation Menu: Where a Market Data Report Fits
A market data report is just one way to document short-term rental income on a DSCR file. It’s not the only option, and it’s not always the strongest one. Which path applies usually depends on whether the property already has an operating history.
| Income Path | When It’s Used | What It Requires | Best Fit |
|---|---|---|---|
| Market data report | No hosting history yet | Address-level comp projection | New purchase, LTR-to-STR conversion |
| Appraiser STR analysis | Appraisal ordered on the file | STR-specific narrative addendum | Properties with strong local comps |
| Platform/PM statements | STR already operating | 12+ months trailing revenue | Seasoned host with real numbers |
| Long-term market rent | Conservative fallback figure | Standard comparable rent exhibit | Backup floor on any of the above |
A new construction purchase, a long-term rental switching to short-term use, or a first-time short-term rental buyer usually has no choice. They have to lean on the market data report or an appraiser’s STR-specific analysis, because there’s simply nothing else to document. An investor who already has 12 months of platform statements is usually better off leading with that trailing history instead. In that case, the market data report just supports the file rather than driving it. Lendmire’s breakdown of whether a short-term rental can qualify without a lease covers that no-lease scenario in more depth.
How the Qualification Math Actually Works
The steps run in a set order. First the report gets pulled. Then the number gets discounted. Then it gets compared to a more conservative figure. Then the coverage math runs.
1. The report is generated. The comp set produces a projected gross annual revenue figure for the address. It factors in seasonality and local demand.
2. The projection gets discounted. It’s a forecast, not a signed lease, so most lenders in the network won’t accept the gross number as is. They apply a discount to build in a margin for vacancy, cleaning fees, and platform commissions. Then they divide by 12 to get a monthly qualifying figure.
3. A long-term rent comparable runs alongside it. Even on a short-term rental file, an appraisal often includes an exhibit covering conventional market rent as well as the STR analysis. Lendmire covers this structural point in more detail elsewhere.
4. The lower figure often wins. If the discounted short-term projection beats what the long-term rent comparable shows, more conservative programs will still use the lower number instead of the STR upside.
5. The DSCR gets calculated. Whichever qualifying monthly income survives that comparison gets divided by the full monthly payment (principal, interest, taxes, insurance, and any HOA dues). That produces the coverage ratio.
Here’s a hypothetical example of how that plays out. A market data report projects strong seasonal demand for a well-located property. After the discount and the divide-by-12 step, the underwriter’s monthly qualifying figure might land somewhere in the 1.10x-to-1.20x range at 75% purchase leverage. That’s comfortably above the 1.00x floor most short-term rental purchase programs require. Now swap in the long-term rent comparable instead. Coverage often comes in lower, since a 12-month lease rarely captures the peak-season pricing a well-run short-term rental can charge. That gap is exactly why the choice of documentation path matters as much as the property itself.
Purchase vs. Refinance: The Numbers Move
Purchase and refinance deals on short-term rentals don’t follow the same leverage or documentation rules. Treating them as interchangeable is a common way investors misjudge a deal before it even reaches underwriting.
On a purchase, most STR-specific programs in the network go up to 75% loan-to-value. They generally want a credit score around 700 and roughly 12 months of prior landlord or hosting experience. A 1.00x coverage floor is typical on most files. Since there’s often no operating history yet on the property being purchased, the market data report tends to carry the most weight here. It may be the only income evidence available.
On a cash-out or rate-term refinance of an existing short-term rental, leverage usually tops out closer to 70% loan-to-value. Lenders commonly want roughly six months of seasoning before releasing any proceeds, and a 1.00x coverage floor is again typical on most files. By this point the property usually has real platform statements or property-manager income to show. That shifts the weight away from the projection and toward actual trailing performance. Investors weighing this path can compare it against DSCR refinance options built specifically for short-term rental investors.
What Makes a Report Strong — or Too Weak to Rely On
A market data report is only as good as the comps behind it. Dense, well-documented short-term rental markets with lots of similar nearby listings tend to produce projections that hold up fairly well. Thin markets are a different story.
Some platforms score market quality on a standard scale. AirDNA’s Market Score runs from 40 to 100, grading markets like a report card. Scores are only calculated once a location clears a minimum listing threshold. Below that threshold, the comp set is thin enough that a single outlier listing can throw off the whole projection. Independent testing backs this concern up. One platform review found individual property revenue projections can run 15 to 30 percent off actual performance in either direction, and sometimes even further off for properties that don’t match their area’s typical profile.
DSCR files in markets with heavy short-term rental activity often show a wide gap between the discounted market-data projection and the long-term rent comparable. The strongest files come from investors who pulled both figures early. They understood which one their lender would actually use, and they priced the deal to the more conservative number instead of betting the upside case would survive underwriting unchanged.
The Tradeoffs and What Can Go Wrong
The biggest risk with a market data report isn’t the math. It’s treating a projection like a promise. A property with a thin comp set, an unusual layout, or a location near a market’s minimum-data threshold can produce a headline revenue number that looks great on paper. That number can hold up poorly once an underwriter — or reality — applies its own discount.
Standard long-term rent exhibits weren’t built for this job either. Class Valuation, an appraisal management company, argues the standard single-family rent schedule doesn’t just undersell short-term rental income — it’s structurally incompatible with it. That’s because it assumes a monthly lease, and short-term rental income doesn’t work that way. That’s part of why appraisers who know short-term rentals increasingly use a separate narrative exhibit instead of forcing the standard form into a job it wasn’t built for.
Two other risks sit completely outside the report itself. HOA and condo rules can ban short-term rentals even where local law allows them. No market data platform reads bylaws, so that restriction never shows up in the projection. And short-term rental rules can vary by city, county, HOA, and property type. Investors should confirm local rules before counting on projected rental income — a strong AirDNA number doesn’t mean the activity stays legal forever. A regulatory picture that looks fine at purchase can look different by the time of a future refinance.
Coverage below 1.00x on a market data projection isn’t automatically a dead end either. Sub-1.00 structures are available through select lenders in the network. Leverage and terms adjust to make up for the weaker ratio. It’s a real path — it just trades leverage or pricing for lower coverage.
Who This Approach Fits — and Who It Doesn’t
This documentation path fits investors buying a short-term rental with no operating history yet. Think new construction, a long-term-to-short-term conversion, or a first purchase in a dense, data-rich market with a deep comp set. It also fits an investor who’s comfortable underwriting to a discounted, conservative number instead of a best-case scenario.
It fits less well for an investor targeting a thin-data market where the comp set barely clears the minimum listing threshold. In that case, the projection is weakest exactly where it’s needed most. It also doesn’t fit as well for someone who already has 12 solid months of platform income. That investor is usually better off leading with actual trailing statements and treating the market data report as backup, not the main document. And it’s not the right tool for property types these programs simply don’t finance: manufactured homes (single- and double-wide), log homes, and barndominiums fall outside DSCR short-term rental programs in the network, no matter what a market data report shows for that address.
A Borrower’s Checklist Before Submitting a Report
Before an investor leans on a market data report to shop or structure a deal, a few checks are worth running on their own:
- Pull the report on a specific address before making an offer, not after. A thin comp set is a reason to renegotiate price, not just a data point.
- Check the comp count and market quality score if the platform provides one. A market near the minimum listing threshold deserves extra skepticism.
- Build a realistic long-term market rent comparable alongside the STR number to see how far apart the two figures actually are.
- Ask the lender directly whether their program uses the STR projection or defaults to the long-term rent figure regardless of performance. That answer changes the DSCR math entirely.
- Confirm HOA, condo, and local rules on your own. No market data platform checks whether the activity is currently allowed.
Frequently Asked Questions
Does a market data report guarantee my short-term rental will actually earn what it projects?
No. Independent reviews of these tools have found individual property projections can run 15 to 30 percent off actual performance in either direction, and sometimes further off for properties that don’t fit their area’s typical profile. Treat the number as a directional estimate, not a promise. Expect the lender to discount it before using it as qualifying income.
My short-term rental already has 12 months of real income history — do I still need a market data report?
Usually not as your main document. Once trailing platform or property-manager statements exist, most programs in the network lean on that actual history first. They treat a market data report as supporting context rather than the driving number.
What credit score does a short-term rental DSCR loan typically require?
Most STR-specific programs in the network look for around a 700 credit score, plus roughly 12 months of prior landlord or hosting experience. Exact requirements vary by lender, leverage, and the specific file, so treat this as a typical range rather than a fixed rule.
Does a market data report replace the appraisal on my file?
No. Most files still get an appraisal. Appraisers who know short-term rentals often add a separate narrative income analysis alongside the standard exhibit, rather than relying on the market data report alone. The two documents usually work together instead of replacing each other.
What happens if my market data projection puts coverage below 1.00x?
It doesn’t mean an automatic decline. Sub-1.00 coverage structures are available through select lenders in the network, though leverage and terms typically adjust to offset the weaker ratio. Whether you qualify in that scenario depends heavily on the specific lender, your credit profile, and the property itself.
Program availability, loan terms, and eligibility depend on lender guidelines, credit approval, property review, and full underwriting. This article is educational and is not a loan offer or commitment to lend.
Investors focused on short-term rentals can review DSCR loans for Airbnb and short-term rentals.
About Lendmire
Lendmire is a mortgage broker (NMLS# 2371349) that arranges DSCR investor financing through select lenders across 40 markets, including Washington, D.C. This is the kind of file Lendmire’s team works on daily — matching a market data report, an appraiser’s STR analysis, or trailing platform income to the program that actually counts it. Anyone weighing the basics first can start with Lendmire’s complete DSCR loans guide or Lendmire’s explainer on what a short-term rental loan actually is. Scotsman Guide named Lendmire a Top Mortgage Workplace in both 2025 and 2026.
If you’re buying or refinancing a rental property and want to see how the numbers work, Lendmire can help you compare DSCR loan options based on property income, credit profile, leverage, and your goals as an investor. Investors can reach Lendmire at 828-256-2183 or request a quote directly to talk through a specific address and comp set.
Tax treatment can depend on how the funds are used and how the property is held. Investors should keep clear records and talk to a qualified tax professional before relying on any deduction. This article is general information, not legal or tax advice. Readers should consult a qualified attorney or CPA about their own situation before making a financing or ownership decision.
Loan approval is never guaranteed, and nothing here is a commitment to lend. Every scenario described here depends on lender approval and on borrower, property, and program guidelines, which can change and get underwritten individually.
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References
1. AirDNA Help Center — Rentalizer
2. AirDNA Help Center — Market Score
3. Awning — AirDNA Review 2026
4. Class Valuation — Understanding the 1007 Appraisal and Short-Term Rentals
Brandon Miller
Founder & CEO, Mortgage Loan Originator, Lendmire LLC
- Mortgage Loan Originator · NMLS# 1129696 · Verify on NMLS Consumer Access
- North Carolina Real Estate Broker · License# 343312 · Verify on NCREC
- North Carolina Insurance Producer · License# 19053198 · Property, Casualty, Life, Health · Verify on NAIC SBS
- Lendmire LLC · Firm NMLS# 2371349 · Verify firm licensure
Disclosures. The information presented in this article is general market commentary, not financial, legal, or tax advice. Lendmire is a mortgage brokerage (NMLS# 2371349) — not a direct lender or depository institution — and loan placement is subject to lender underwriting. Nothing in this content represents a commitment to lend. Loan terms, pricing, and program availability vary based on borrower qualifications, property characteristics, and state of subject property, and are subject to change at any time. Lendmire complies with Equal Housing Opportunity requirements. Consumer access: nmlsconsumeraccess.org.
