Financing a Pacific City, Oregon Rental: What DSCR Lenders Need to See

Jacob Mishalanie
Aug 21
8 min read

Updated: 4 days ago

Empty weathered Pacific City cottage exterior, no people

A DSCR loan lives or dies on one question: does the income cover the debt. For a Pacific City, Oregon short-term rental, that question gets answered with real numbers from the last twelve months of local listing activity, not a general Oregon coast impression. Across the August 2025 through July 2026 window, short-term rentals in Pacific City earned $40,828 on average across 286 active listings, a figure worth citing directly in a loan file rather than paraphrasing into something softer or vaguer.

The market data that actually matters to an underwriter goes beyond the headline average: an average nightly rate of $363, occupancy of 35.4 percent, revenue per available night (RevPAR) of $141, a year-over-year change of minus 4.7 percent, and active supply that held flat at 0.0 percent growth. Each of those numbers tells a lender something different about how durable this income actually is, and a host walking into a DSCR conversation should know what each one is doing in the file.

This page is not legal or lending advice. It expands verified market facts into a practical guide for organizing a DSCR income packet, and it does not guess occupancy lifts, approval odds, or loan terms that aren't part of the public record. This is not legal advice.

What a DSCR Lender Is Actually Asking For

A debt-service coverage ratio loan is underwritten primarily on the property's income rather than the borrower's personal salary, which is exactly why the market data matters so much here. The lender wants a defensible number for what this specific property type, in this specific location, can be expected to earn, and $40,828 across 286 listings is the honest market-level answer for Pacific City over the trailing year.

That figure is a market average, not a guarantee for any single address. A host should present it as context, the going rate for the category, while pairing it with property-specific evidence such as an individual booking history, professional photos, or a comparable unit's actual performance, so the lender sees both the market floor and the specific case being financed.

Reading the Rate, Occupancy, and RevPAR Together

The $363 average nightly rate and 35.4 percent occupancy are two halves of the same story: Pacific City rentals command a real premium rate, but they don't fill every night of the year, which is normal for a seasonal coastal market rather than a red flag on its own. RevPAR of $141 is the number that blends both, and it's the figure closest to what a lender actually cares about, since it reflects earned revenue per available night rather than a rate that sounds good but doesn't reflect real fill.

A host building a file should present all three together rather than leading with the nightly rate alone. A high rate with lower occupancy can look identical in a spreadsheet to a lower rate with higher occupancy, and RevPAR is what separates the two stories for someone trying to model steady income against a mortgage payment.

Don't Let Oceanside's Numbers Bleed Into the File

Oceanside, a smaller coastal community roughly 20 minutes south of Pacific City, posted $34,813 in average revenue across just 97 listings over the same window, a genuinely different market with a much smaller sample size. It's tempting to round these two towns into a single "Oregon coast" narrative when building a packet, but a lender reviewing the file deserves the actual town-level number tied to the actual address being financed.

The practical rule is simple: keep Pacific City's $40,828 across 286 listings on its own labeled line, and either leave Oceanside's figures out of the packet entirely or footnote them explicitly as a separate, excluded market if a lender specifically asks for regional context. Blending the two towns into an average that neither actually represents weakens the file rather than strengthening it.

What a Single Down Year Actually Means for Underwriting

A year-over-year change of minus 4.7 percent is worth addressing directly rather than leaving for the lender to notice on their own. A single down year in a seasonal market doesn't automatically disqualify a property, but a host should be ready to explain it in plain terms: was it a rate adjustment, a slower booking season regionwide, or a temporary listing gap, rather than a structural decline in demand for the area.

The more reassuring data point sitting next to that dip is that active supply growth held at 0.0 percent for the same window. That means the revenue softness wasn't caused by a flood of new competing listings diluting the market, which is a materially different, and generally more favorable, story for an underwriter than a market getting crowded out from under a property.

Why Flat Supply Growth Belongs in the Packet

Lenders modeling future income are implicitly asking whether today's numbers are likely to hold up. A market where active supply isn't growing is a market where existing listings, including the one being financed, aren't about to face a fresh wave of new competition for the same guest demand.

This is a genuinely useful data point to include as its own line in a DSCR packet, separate from the revenue figures themselves: Pacific City's short-term rental supply was flat over the trailing year, which supports treating the current revenue picture as a reasonably stable baseline rather than a number likely to erode purely from oversupply.

Building the Actual Income Packet

A usable DSCR packet for a Pacific City property should include the AirROI-style market extract itself (the $40,828 average across 286 listings, with the rate, occupancy, RevPAR, and year-over-year figures attached), the property's own booking platform statements if it already has operating history, and a dated cover note that states plainly which town's numbers are being used and why.

What doesn't belong in the packet is a narrative about foot traffic, scenery, or general coastal tourism appeal standing in for actual figures. Lenders underwrite numbers, and the strongest version of this file is the one that hands over the real market data on its own labeled line and lets the loan officer's own coverage-ratio formula do the rest.

The Purchase Price and Coverage Math Aren't This Page's Job

This page provides the market data a Pacific City DSCR file needs, not the coverage ratio calculation itself. The actual math, running the property's expected income against a specific purchase price, loan amount, and the lender's own minimum coverage threshold, belongs to the lender's underwriting formula and the borrower's own financial advisor, not a marketing page.

Where this page is useful is in making sure the income side of that equation is built on defensible, town-specific numbers rather than a softened or blended version of the market. Getting that half right is squarely within a host's control before the file ever reaches an underwriter's desk, and it's a far more productive use of a host's time than trying to guess at how a specific lender weighs seasonal occupancy against a flat annual average.

What This Page Won't Do

This page does not guess occupancy lifts, projected revenue increases, or approval odds for any specific loan scenario. Every figure here, the $40,828 average, the 286-listing sample, the $363 rate, the 35.4 percent occupancy, the $141 RevPAR, the minus 4.7 percent year-over-year change, and the 0.0 percent supply growth, comes directly from the trailing-year market data for Pacific City and nothing beyond it.

For questions about specific loan terms, coverage ratio minimums, or how a particular lender will treat this data, talk to a qualified mortgage professional. This page is not legal or lending advice, and a host should confirm any loan-specific requirement directly with their lender before assembling a final packet, updating the figures the same season new trailing-year data becomes available rather than carrying last year's numbers forward indefinitely.

Frequently Asked Questions

What is the single most important number in a Pacific City DSCR file?

RevPAR, at $141, is the figure that best represents blended real-world performance, since it combines the $363 average nightly rate with the 35.4 percent occupancy rate into one number. A high rate alone or high occupancy alone can each tell a misleading story on its own. Lenders modeling future income care about revenue actually captured per available night, not a headline rate that assumes a fully booked calendar that doesn't reflect this seasonal coastal market.

Should Oceanside's numbers be included in a Pacific City loan packet?

Only as a clearly labeled, separate market if a lender specifically requests regional context. Oceanside sits about 20 minutes south and posted $34,813 across just 97 listings in the same window, a smaller sample from a different town. Blending it into Pacific City's $40,828 across 286 listings would understate the actual local market and weaken the file rather than strengthen it.

Does a minus 4.7 percent year-over-year change disqualify a property from DSCR financing?

Not automatically. A single down year in a seasonal coastal market is common and worth explaining rather than hiding, especially paired with the fact that active supply growth held flat at 0.0 percent over the same period. That combination suggests the dip wasn't caused by a flood of new competing listings, which is a more favorable story than a market getting genuinely oversaturated.

Why does flat supply growth matter for underwriting?

Lenders are implicitly asking whether current income is likely to hold up going forward. Pacific City's active short-term rental supply grew 0.0 percent over the trailing year, meaning the existing revenue picture wasn't being diluted by a wave of new competing listings. That makes the current $40,828 average a more defensible baseline for projecting future income than it would be in a rapidly oversupplied market.

What belongs in a DSCR income packet for a Pacific City rental?

Include the market extract itself (the $40,828 average across 286 listings, plus the rate, occupancy, RevPAR, and year-over-year figures), the property's own booking platform statements if it has operating history, and a dated cover note naming which town's data is being used. Leave out narrative language about scenery or foot traffic; lenders underwrite numbers, not descriptions of a destination's general appeal.

Who calculates the actual debt-service coverage ratio for a purchase?

That calculation, running expected income against a specific purchase price, loan amount, and the lender's own minimum coverage threshold, belongs to the lender's underwriting process and the borrower's financial advisor, not a marketing page. This page provides the town-specific market data; the coverage math itself should come from a qualified mortgage professional working the specific loan scenario.

Is the $40,828 average the same as what one specific property will earn?

No. It's a market-level average across 286 listings over the trailing year, useful as context for the going rate in the category, but not a guarantee for any single address. A host should pair that market figure with property-specific evidence, such as an individual booking history or a directly comparable unit's actual performance, so the lender sees both the market floor and the specific case being financed.

Where do the Pacific City figures in this guide come from?

All figures, the $40,828 average revenue, the 286-listing sample, the $363 average nightly rate, 35.4 percent occupancy, $141 RevPAR, minus 4.7 percent year-over-year change, and 0.0 percent supply growth, come from trailing-year short-term rental market data for Pacific City covering August 2025 through July 2026. Nothing in this guide is projected, estimated, or extended beyond that dataset.

Work with Crest & Cove Creative

A Pacific City DSCR file only holds up when it uses this town's own $40,828 average, not a blended Oregon coast impression. Oceanside's smaller sample belongs on its own labeled line, not folded into the same number.

We help independent hosts organize market data into a DSCR-ready packet built on the specific town's real numbers instead of a regional average. Send us the listing and the loan scenario, and we'll help you keep every figure on its correct labeled line.

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