Manzanita Tourism Data: Tillamook Tax Isn't Your Occupancy
Hosts pull tourism data for one of two reasons: to sound credible to a lender or partner, or to actually understand demand. The problem is that most of what's publicly available about Manzanita — county lodging-tax figures, state park visitation counts — describes the region's traffic, not any individual listing's occupancy. Confusing the two leads to bad pricing decisions and worse pitches. This post separates what each data source actually tells you.
The confusion isn't usually deliberate. Tourism data is genuinely more available and easier to find than granular, listing-level performance data — a county publishes its lodging-tax collections openly, a state tourism office puts out a glossy annual report, but no public source hands a host their own listing's occupancy compared honestly against the market. That asymmetry is exactly why so many hosts end up leaning on the wrong number: it's not that the county or state data is bad, it's that it answers a different question than the one a host actually needs answered.
This matters just as much for a host writing marketing copy as for one preparing a financial pitch. Guest-facing content and lender-facing content both borrow credibility from data, and both fail in the same way when the wrong kind of number gets stretched to answer a question it was never built to answer. This is not legal advice.
Tillamook County Lodging Tax: The Regional Spend Signal
Tillamook County's lodging tax collections are the primary public signal for overall visitor spending in the area, with any city-level share Manzanita itself publishes as a secondary data point. This figure captures money spent on lodging countywide — hotels, motels, vacation rentals, campgrounds where taxed — and it's useful for understanding whether visitor spending in the region is growing or shrinking year over year. What it is not is a measure of how many nights any specific Manzanita listing booked. A rising countywide lodging-tax figure can coexist with a flat or declining individual listing if that listing isn't competitive on photos, pricing, or amenities.
It's worth understanding what actually drives a countywide figure up or down, because it's rarely one clean cause. It can rise because more properties came online, because existing properties raised rates, because visitor volume genuinely grew, or some blend of all three — the aggregate number doesn't separate those causes for you. A host reading a rising countywide figure as proof their own listing should be busier is assuming the growth is evenly distributed across every property in the county, which is rarely how tourism growth actually plays out.
Travel Oregon's Coast Series: The State-Level Line
Travel Oregon publishes coast-wide visitor data as part of its broader state tourism research. That's the state line — useful for understanding Oregon coast tourism in general, and for context if you're writing a pitch or a report that needs a credible top-line number. It's even further removed from a single listing's booking calendar than the county figure, so treat it as background context, not a planning input.
This series is worth knowing about mainly because it shows up so often in generic Oregon coast marketing content, and a host should be able to recognize it for what it is when they encounter it — a broad state-level signal, not evidence about any specific town, let alone any specific property. If a competitor's marketing or a borrowed blog post cites a big statewide tourism number as if it directly supports a Manzanita booking pitch, that's worth recognizing as a stretch, not a credible claim.
The Aggregator Numbers: Where the Real Occupancy Signal Lives
For actual STR-specific demand, the numbers that matter are AirROI and Rabbu's year-round figures for the Manzanita market specifically. AirROI's window (August 2025 through July 2026) shows roughly $60,024 in annual revenue at 40.5% occupancy and a $441 average daily rate. Rabbu's separate estimate lands at $60,635, from a smaller sample. These two independent sources landing close together is a reasonable confidence signal — but they're still two different lines from two different methodologies, not one confirmed number. Don't average them into a single figure and present it as more precise than either source actually claims.
The reason these two sources deserve more trust than the county or state figures for planning purposes is simple: they're built specifically from short-term rental transaction data, not from a broader lodging category that includes hotels, motels, and campgrounds. That specificity is exactly what a host needs for pricing and occupancy planning, even with the caveats about sample size and methodology attached. Treat AirROI and Rabbu as the closest available proxy for 'what should my listing be doing,' and treat everything else in this post as context around that core answer.
Nehalem Bay State Park Visitation: A Neighbor, Not a Proxy
State park visitation data for Nehalem Bay is a real and useful data point — it tells you how much traffic the park itself is drawing — but it is not a proxy for listing occupancy. Plenty of park visitors are day-trippers, campers in the park's own campground, or people staying in Cannon Beach or elsewhere and driving down for the day. Citing rising park visitation as evidence your rental should be booked more is a logical leap the data doesn't support on its own.
Where park visitation data genuinely earns a place in your thinking is as a demand-driver narrative, not a demand-measurement tool — it explains why people come to this stretch of coast at all, which is useful in listing copy and in a broader market pitch. Just keep the distinction clear in your own head and in anything you publish: the park's visitor count tells a story about the region's draw, and the AirROI or Rabbu figures tell you what that draw actually converts to in booked nights and dollars for a listing like yours.
What Not to Import From Cannon Beach
Cannon Beach's city STR lodging-tax figures — reportedly in the range of $600,000 for that city specifically — belong to a different jurisdiction with different visitor volume and a different fee structure. Manzanita's own tourism and revenue picture, built from the sources above, is the one to use in a Manzanita-specific pitch or plan. Borrowing Cannon's bigger numbers to make a Manzanita argument sound more impressive is a credibility risk the first time anyone checks the source.
This isn't just a Cannon Beach-specific warning — it's a general principle worth internalizing for any neighboring-market data. The closer two towns sit on a map, the more tempting it becomes to treat their numbers as interchangeable, and the more damaging it is when someone checks the source and finds the figures don't actually belong to the market being discussed. A lender, a potential investor, or even a curious guest reading a blog post can catch this kind of substitution quickly, and once caught, it undermines trust in every other number in the same document.
Common Mistakes Reading Tourism Data
The most frequent mistake is treating a rising regional number — county lodging tax, state tourism figures, park visitation — as direct proof that an individual listing should be performing better. The second is averaging AirROI and Rabbu into one falsely precise number instead of citing both, with their different sample sizes, as independent confirmations. The third is pulling a stale figure and presenting it as current, when tourism and STR data both update on real reporting cycles that should be checked before each use, not assumed to be evergreen.
A fourth mistake, common in pitch decks specifically, is stacking every available number — county, state, park, and aggregator — into one slide as if more data automatically means a stronger case. It often does the opposite: a reader who understands the difference between a regional spend signal and a listing-level occupancy figure will notice the stack doesn't actually support the specific claim being made, and the pitch loses credibility for trying to look more rigorous than it is.
A Worked Example: Building an Honest Data Section
Picture a host preparing a short write-up for a potential co-host or lender explaining why a Manzanita property is a sound listing to operate. The strongest version leads with the AirROI and Rabbu figures as the core claim — roughly $60,024 to $60,635 annually, 40.5% occupancy, $441 ADR — clearly labeled as STR-specific data for this market. It then adds one line of regional context from Tillamook County lodging tax, framed honestly as 'the broader area's visitor spending trend,' not as proof of this specific listing's performance. It stops there, rather than padding the section with state-level or park-visitation numbers that don't actually strengthen the core claim.
The weaker version — the one to avoid — opens with a big countywide or statewide number for shock value, implies it directly supports the property's booking potential, and buries the actual AirROI or Rabbu figures further down or leaves them out entirely. That version reads as more impressive on first glance and less credible on a second, closer read — exactly the outcome an honest data section should avoid.
Putting the Sources in Order
For a host actually trying to plan a season: start with AirROI and Rabbu for listing-level revenue and occupancy expectations. Use Tillamook County lodging tax as a regional health check — is the broader area's visitor spending trending up or down. Treat Travel Oregon's coast data and Nehalem Bay State Park visitation as background context for a pitch deck or a report, not as inputs for your own pricing calendar.
Revisit this hierarchy each time you pull fresh numbers rather than assuming last year's sourcing order still applies. Aggregator platforms update their windows, county reports come out on their own cycle, and a figure that was the most current available six months ago may already have a newer version published. Building the habit of re-checking the source, not just the number, keeps a host's data honest over time rather than accurate only at the moment it was first written down.
Self-Diagnosis: Is Your Data Section Actually Honest?
Before publishing any pitch, report, or listing narrative that leans on tourism data, run it through a short check. Does every number in the section carry a named, specific source — AirROI, Rabbu, Tillamook County, Travel Oregon — rather than an unattributed claim? Is any regional or state-level figure clearly labeled as context rather than implied to be a direct measure of this listing's performance? Have the AirROI and Rabbu figures been presented as two separate data points rather than blended into one falsely precise average? And has each figure been checked against its current published version, rather than carried forward from an earlier draft or a competitor's content without re-verification?
If a section fails any of those checks, that's worth fixing before it goes out, whether the audience is a lender, a potential co-host, or a guest reading a blog post. Tourism data done honestly is a genuine asset for a host's credibility — it signals a level of rigor most listings never bother with. Tourism data done sloppily, mixing regional signals with listing-level claims, does the opposite: it invites exactly the kind of scrutiny that undermines the pitch it was meant to support. Getting this right once and reusing the same disciplined structure for every future report is far easier than untangling a reputation for imprecise numbers after the fact.
Related Reading
More Manzanita Tourism Data host reading on desks, calendars, and listing clarity.
Frequently Asked Questions
What's the difference between Tillamook County lodging tax and my listing's occupancy?
Lodging tax measures regional visitor spending across all taxed lodging in the county — it's a macro signal. Your listing's occupancy is specific to your property's bookings. A healthy county-wide tax figure doesn't guarantee your individual listing is performing well; those are two separate measurements.
What does AirROI say about Manzanita's short-term rental market?
AirROI's window (August 2025–July 2026) shows the market averaging roughly $60,024 in annual revenue, 40.5% occupancy, and a $441 average daily rate. This is the most direct STR-specific data point available for the Manzanita market.
Should I trust AirROI or Rabbu's numbers for Manzanita?
Both are reasonable independent data sources — AirROI shows roughly $60,024 for the year, Rabbu shows $60,635 from a smaller sample. They're close enough to be a useful confidence signal but shouldn't be averaged into one falsely precise figure, since they use different methodologies and sample sizes.
Does Nehalem Bay State Park visitation predict my rental's bookings?
Not directly. Park visitation includes day-trippers, campers staying in the park's own campground, and visitors staying elsewhere in the region. It's a useful regional context point, not a reliable proxy for any specific listing's occupancy.
Can I use Cannon Beach's tourism numbers to describe Manzanita's market?
No — Cannon Beach's city lodging-tax figures, reportedly around $600,000, reflect a different jurisdiction with different visitor volume. Use Manzanita-specific sources for a Manzanita-specific pitch or plan; mixing the two undermines credibility if anyone checks.
Where does Travel Oregon's data fit into planning my Manzanita listing?
It's a state-level, coast-wide data series — useful as background context in a broader report, but too removed from any single market or listing to inform your specific pricing or occupancy planning.
Is Manzanita's tourism data trending up or down?
Current sourcing doesn't establish a multi-year trend specific to Manzanita — the figures cited here reflect single recent windows (Aug 2025–Jul 2026 for AirROI, April 2026 for Rabbu). Track county lodging-tax reports over time for a clearer regional trend.
What's the best data source for pricing my Manzanita listing?
AirROI and Rabbu's market-level figures are the closest available proxies for STR-specific demand and pricing benchmarks. County and state tourism data are useful for broader context but shouldn't directly drive your nightly rate decisions.
How do I find current Tillamook County lodging tax reports?
Tillamook County publishes lodging tax collection reports through its own channels — check the county's official site for the most current figures rather than relying on older cited numbers, since these reports update on a regular cycle.
Should I mention park visitation numbers in a pitch to investors?
You can, as supporting regional context, but be clear it's a neighbor data point rather than a direct occupancy indicator. Lead with AirROI or Rabbu figures for actual STR market performance, and use park visitation to round out the picture, not to replace it.
Work with Crest & Cove Creative
A rising county lodging-tax report gets waved around as proof a listing should be booking more, when the two numbers were never measuring the same thing. Name the failure mode the guest can check on the listing.
Reading tourism data correctly is step one — turning it into a pricing and marketing plan that actually fills your calendar is the harder part. Request a marketing audit to see where the gap is. Send the live listing draft and the facts you can actually cite.
Reach out at crestcove.co or (256) 998-7502.
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