Financing a Lancaster, PA Rental Without a County Mash

Jacob Mishalanie
Aug 19
8 min read

Updated: 13 hours ago

A DSCR loan for a Lancaster, Pennsylvania short-term rental should start with one specific number: $28,791, the typical year across 216 city-level listings, with an ADR of $204, occupancy of 43.5%, and RevPAR of $92, on the August 2025 through July 2026 vintage.

That figure matters because at least two other sources put a very different number in front of a lender: StaySTRA's leftover figure of $34.5k to $37.3k across 1,774 listings, and AirDNA's leftover figure of $27.7k - both describing a different geographic boundary than the City of Lancaster itself, most likely a county-wide or regional blend rather than the city market a specific property actually sits in.

This report covers why the note cares about the city boundary specifically, why a county-blended figure should never substitute for the city's own DSCR math, what the year-over-year growth trend adds to the file, and what a lender packet actually needs to include. This is not legal advice.

DSCR Math Starts at $28,791, Not a Blended County Figure

For a property inside Lancaster city limits, the DSCR calculation should start from the city-level figure: $28,791 typical year across 216 listings, ADR $204, occupancy 43.5%, RevPAR $92. This is the number that actually describes the competitive set and revenue environment the property will operate in.

StaySTRA's leftover range of $34.5k to $37.3k spans 1,774 listings - roughly eight times the sample size of the city-level figure - which strongly suggests that number includes a much broader geography than the city itself. Using it to inflate a city-property's projected revenue overstates what that specific property can realistically earn.

AirDNA's leftover figure of $27.7k is closer to the city number but still describes a different boundary. The discipline for a lender packet: name which specific figure describes the city market, and use that one - not whichever number happens to be highest.

It is worth noting that this discipline cuts both ways: a borrower should resist the temptation to cherry-pick the highest available figure to strengthen a loan application just as much as a lender should resist accepting a figure without confirming its geographic scope. Both sides of the transaction benefit from a single, clearly sourced, city-specific number doing the actual underwriting work.

The Note Cares About the City Line - A County Mash Does Not Exist Here

A DSCR lender is underwriting a specific parcel's ability to service its own debt from its own revenue - which means the geographic boundary of the revenue figure used in that underwriting has to match the parcel's actual location, not a broader region that happens to include it.

There is no legitimate "county mash" figure that substitutes for city-specific data here. A loan officer who receives a blended county number and treats it as the city's own figure is working from a boundary mismatch that could materially overstate the debt-service coverage a specific Lancaster city property can actually deliver.

The fix is straightforward: attach the city-level extract, with its 216-listing sample size and specific vintage dates, directly to the loan file, and flag any county-wide or regional figure a lender might otherwise default to as describing a different, larger boundary.

A borrower working with a loan officer unfamiliar with short-term rental underwriting should expect to walk through this distinction explicitly, since a generalist lender may not automatically know that a county-level dataset and a city-level dataset for the same general area can differ by tens of thousands of dollars in typical annual revenue. That gap is exactly the kind of detail that determines whether a loan actually closes at the terms a borrower expects.

Year-Over-Year Growth Is Part of the File, Not a Footnote

Both revenue and supply grew by 8.5% year over year in this sample's August 2025 through July 2026 vintage, across the 216-panel city sample. That is a real directional trend on this specific market - worth including in a lender packet as supporting context, not a promise of continued growth and not a substitute for the base-year figure itself.

Peak months in this sample run October, August, and June - useful detail for a lender assessing whether a property's cash flow will be seasonal, and by how much, across the year. A DSCR file that shows the underwriting team has accounted for that seasonality, rather than assuming flat monthly revenue, is a stronger file.

None of this year-over-year context should be replaced with AirDNA's separate leftover growth figure of plus 9.3% on a different sample - that number belongs to a different boundary and a different measurement, and swapping it in would be mixing two incompatible data sources in the same file.

A lender reviewing a growth trend alongside a base-year figure is generally looking for consistency between the two: does the trajectory implied by the growth rate roughly match the trajectory the base figure would predict going forward. Presenting both numbers from the same city-level source, on the same sample and vintage, is what makes that consistency check possible in the first place.

Visitor Spend Is Not Debt Service

Lancaster County's broader visitor spending figure of $2.74 billion is a real, legitimate data point about the region's tourism economy - but it is not debt service, and it should never appear in a DSCR file as if it were revenue attributable to a specific rental property.

A lender packet that conflates county-wide visitor spending with a specific property's projected income is presenting an inflated, misleading picture. The $2.74 billion figure describes total regional tourism activity across every business category, not the income a single short-term rental can expect to collect.

Strasburg's $25,205 and Ephrata's $21,000 figures are also worth naming in a file as labeled neighboring-town context - genuinely useful for understanding the regional picture - but neither should be blended into a Lancaster city property's own underwriting numbers.

The pattern across all of these secondary figures is the same: each one is real and legitimate on its own terms, describing its own specific boundary or category, and each one becomes misleading only at the moment someone tries to substitute it for the city-level number a specific Lancaster property's DSCR calculation actually depends on.

What a Lender Packet Should Actually Carry

A defensible Lancaster city DSCR packet should include: the city-level $28,791 typical year on 216 listings with ADR, occupancy, and RevPAR attached; the specific 8.5% year-over-year revenue and supply growth figures on that same sample; the peak-month pattern (October, August, June); and a clear note distinguishing this city figure from the StaySTRA and AirDNA leftover ranges.

It should explicitly exclude the county-wide $2.74 billion visitor-spend figure as a revenue input, exclude Strasburg's and Ephrata's numbers as anything other than labeled neighbor context, and avoid presenting the StaySTRA 1,774-listing range as though it describes the same boundary as the city's own listing set.

The underlying discipline for any Lancaster short-term rental financing file in 2026: match the revenue figure to the actual parcel boundary, keep every other number - county spend, neighbor towns, third-party leftover ranges - clearly labeled as context rather than substitute data, and let the lender see exactly which number is doing the underwriting work.

A borrower who assembles the file this way tends to move through underwriting faster, not slower, because a lender who can see exactly which figure applies and why doesn't need to send the file back with follow-up questions about a mismatched boundary or an unexplained discrepancy between sources.

For a Lancaster city property specifically, that means the $28,791 figure, the 216-listing sample size, and the August 2025 through July 2026 vintage window should appear together, clearly labeled, on the first page of the packet a lender actually reads - not buried several pages into a longer document alongside unrelated regional statistics.

Frequently Asked Questions

What figure should anchor a Lancaster, PA short-term rental DSCR calculation?

The city-level extract: $28,791 typical year across 216 listings, ADR $204, occupancy 43.5 percent, RevPAR $92, on the August 2025 through July 2026 vintage. This is the figure that matches the actual city-limit boundary a specific property sits in, not a countywide or regional number pulled from a broader boundary.

Why shouldn't StaySTRA's $34.5k to $37.3k figure be used for a Lancaster city DSCR file?

That range spans 1,774 listings -- roughly eight times the city-level sample -- strongly suggesting it covers a much broader county or regional boundary. Using it for a city property overstates realistic revenue, since the boundary that produced it doesn't match the boundary under the deed. Keep it labeled as county-scale context, not a city substitute.

Is AirDNA's $27.7k figure the same as the city's own number?

No. It's closer to the city figure than StaySTRA's range, but it still describes a different boundary. A lender packet should clearly label it as a separate source rather than substituting it for the city's own 216-listing extract, since neither the sample size nor the boundary is confirmed to match exactly.

How much did Lancaster's short-term rental revenue and supply grow year over year?

Both grew 8.5 percent on the August 2025 through July 2026 vintage across the 216-listing city sample -- a real directional trend worth noting in a lender file, though not a guarantee of continued growth. Reporting the revenue figure without the matching supply figure would understate how much new competition arrived alongside it.

Can Lancaster County's $2.74 billion visitor spending figure be used as rental income?

No. That figure describes total regional tourism spending across all business categories -- hotels, restaurants, retail, and day visitors -- not income attributable to any specific short-term rental property. It should never appear in a DSCR file as revenue; the note is paid from nights sold at the subject address, not from countywide tourism totals.

Which months show peak demand on the Lancaster city extract?

October, August, and June read as the peak-three months in this sample, useful context for a lender assessing how seasonal a specific property's cash flow is likely to be. A strong October doesn't guarantee a strong February, so the file should still carry a seasonality sensitivity table alongside the peak-month figures.

How do Strasburg and Ephrata's numbers relate to a Lancaster city DSCR file?

Strasburg shows $25,205 and Ephrata shows $21,000 -- both separate, labeled neighboring-town figures. They provide regional context but should never be blended into a Lancaster city property's own underwriting numbers, since each town's extract reflects its own sample size, boundary, and seasonality rather than the city's.

What is the biggest financing mistake to avoid for a Lancaster, PA short-term rental?

Using a county-wide or third-party blended revenue figure -- StaySTRA's 1,774-listing range, for instance -- in place of the city's own 216-listing extract. Matching the revenue figure's boundary to the property's actual location is the core discipline, and it's the single most common error a conservative lender will catch.

Work with Crest & Cove Creative

Lancaster city listing copy that borrows a county-wide range instead of the city's own $204 ADR misrepresents what this address can actually earn. A 216-listing city sample tells a tighter, more honest story than a blended county figure ever will.

We help Lancaster hosts write listing copy, pricing, and photos around the city's own $28,791 typical-year performance instead of a broader county range. That precision is what turns browsing into bookings for a specific city address.

Reach out at crestcove.co or (256) 998-7502.