Catalina Tourism Data vs. Avalon Host Revenue: Different Numbers

Jacob Mishalanie
Aug 17
10 min read

Updated: 3 days ago

Aerial view of the Two Harbors isthmus on Santa Catalina Island.

Catalina Island pulls roughly a million visitors a year across the ferry lines into Avalon, and that figure gets repeated constantly in tourism write-ups, chamber materials, and marketing decks aimed at the island as a whole. It is a real number and it means something about demand for the destination. It does not mean an Avalon two-bedroom rental will clear a specific dollar figure every month, and treating a busy sidewalk at noon as proof of what a listing earns is a mistake worth naming directly, because it is one of the most common ways hosts misread their own market.

Tourism visitor counts measure island-wide arrivals: day-trippers, ferry passengers, boaters, and overnight guests spread across every lodging type on the island, not short-term rentals specifically and not Avalon specifically. Host-performance numbers measure something narrower: what actual short-term rental listings in Avalon's competitive set booked and earned over a defined period, based on real reservation data rather than foot traffic.

Both categories of number are useful for different jobs. A visitor count tells a host or a marketer whether the destination's overall demand is growing, which matters for a pitch or a piece of marketing narrative. A host-performance figure tells a host what an actual listing is likely to earn, which matters for pricing and for underwriting a purchase. A market report that blends the two without labeling which is which sets a host up to expect revenue the visitor count never promised in the first place. This is not legal advice.

What a visitor-spend figure actually measures

A visitor arrival count of roughly a million people a year moving through Avalon via ferry, boat, and other transport captures foot traffic and general tourism volume. It does not capture lodging revenue or occupancy for any specific property type, and it was never designed to. The figure answers the question of how many people came to the island in a year, not how many of them booked an overnight short-term rental stay.

That million-arrival figure includes day-trippers who never book an overnight stay of any kind, alongside guests staying in hotels, on boats, and in short-term rentals across the island. Folding all of that into a single tourism is booming claim does not tell an Avalon host what their own listing is likely to earn during the same period, because the figure was never broken down by lodging type in the first place.

Two Harbors and other backcountry-island stories can appear in general Catalina marketing without becoming part of an Avalon host's actual amenity list or revenue expectation. Guests who sleep in Avalon need harbor truth, ferry truth, and house truth specific to where they are actually staying. Tourism copy that wanders the whole island without returning to the bed produces exactly the kind of vague, unverifiable marketing a careful reader learns to distrust.

What the AirROI host-performance numbers actually show

AirROI's host-performance data for the Avalon short-term rental competitive set locks in a specific picture: an average daily rate of $721, occupancy around 35.2 percent, RevPAR near $256, a median month of $6,908, and annual revenue around $77,042 across the competitive set. These figures come from actual booking data for short-term rentals, not from a visitor count or a chamber estimate, which is what makes them usable for pricing decisions in a way a tourism total is not.

These are averages across the competitive set, not a guarantee for any single listing. A property's actual performance depends on its size, its location within Avalon, its condition, and how well its own marketing matches what guests are actually booking for. A listing that underperforms the median is not necessarily doing anything wrong, and one that outperforms it is not proof the market itself has changed.

The median cleaning fee across this set sits around $364, which matters for a host's own pricing math but is a separate line item from occupancy or ADR. Cleaning fee data belongs in a host's fee structure planning, not in a tourism-spending conversation, and conflating the two is another way these categories of number get blurred together in a way that misleads rather than informs.

City TOT at 12 percent is a tax, not visitor spend

Avalon's transient occupancy tax, collected at 12 percent, is a municipal revenue mechanism, not a measurement of visitor spending or tourism volume. It tells the city how much lodging tax it collected across the properties subject to it; it does not describe how many people visited, how much they spent on dining or activities, or what any individual property earned before the tax was applied.

A host reading a city budget document or a tourism report that cites TOT collections should treat that figure as tax revenue, not as a stand-in for either the visitor-arrival count or the host-performance data described above. It is a real, useful number for understanding the municipal side of tourism, and it answers a municipal question, not a marketing or underwriting one.

Mixing TOT collections into a pitch or a listing description as evidence of how much tourism the island generates for individual hosts confuses a tax base with a revenue outcome. The two can move in the same general direction over time, but one is not a substitute figure for the other, and a host who cites TOT as if it were their own potential earnings is making the same category error the visitor-arrival figure invites.

Why the peak months don't match a full year

The strongest tourism and booking months on Catalina cluster around summer, specifically June, August, and September, along with the winter holiday stretch covering December, January, and February. Those are the months a marketing calendar or a tourism report will highlight, and for good reason, since they represent real, elevated demand relative to the rest of the year.

January also shows up as a genuine low point in booking demand once the holiday rush clears, which is a reminder that peak season exists and every month is peak are two very different claims. A host who prices or staffs a full year based only on the busiest weeks of summer will be caught short during the shoulder and low months, when the median month figure of $6,908 is a far more realistic planning number than any single strong July weekend.

Understanding which months in Avalon's calendar are genuinely soft versus genuinely strong is a distinct planning exercise from reading the annual visitor-arrival total. The annual count smooths an entire year's fluctuation into one figure, which is useful for a growth narrative but useless for deciding how to staff or price a specific month on the calendar.

How a host should use Love Catalina and Conservancy figures without misreading them

Love Catalina, the island's tourism marketing organization, exists to build destination-wide demand and awareness, and its materials are a legitimate source for understanding general visitor trends, seasonal messaging, and the kind of narrative a host might reference in their own marketing copy. It is not a listing-level performance dashboard, and a host should not expect to find their own property's occupancy or revenue reflected in destination-wide tourism marketing.

Conservancy land, which makes up the majority of the island's total acreage outside Avalon's developed footprint, is a genuine part of Catalina's identity and a real draw for hikers, campers, and day visitors. It is not a tourism total or a lodging statistic, and citing acreage or conservation figures as if they measured visitor spending or host revenue conflates two entirely different kinds of information about the island.

The useful move for a host is to draw on Love Catalina and Conservancy material for destination narrative and marketing color, while keeping every dollar figure that actually drives pricing and underwriting decisions sourced from the AirROI host-performance data described above. Each source is doing a different job, and neither should be asked to answer the other's question.

How to use both categories of number correctly, without blending them

The island-wide visitor count is the right tool for understanding general demand direction and building marketing narrative: is Catalina tourism growing, flat, or shrinking year over year. It is the wrong tool for forecasting a specific listing's monthly revenue, because it was never measuring lodging performance for short-term rentals in the first place.

The AirROI host-performance figures, covering ADR, occupancy, RevPAR, median month, and annual revenue, are the right tool for actually underwriting what an Avalon short-term rental is likely to earn, since they come from the competitive set of listings actually booking overnight stays. They are the wrong tool for making a broad claim about the health of island tourism overall, since they describe one property type in one town, not the island as a whole.

When writing marketing copy or an investment case for an Avalon property, keeping these categories of number clearly labeled matters more than which specific figure gets used. A reader should never have to guess whether a dollar amount describes island-wide tourism, a municipal tax base, or one listing's actual competitive-set performance, because each of those answers a different question a host or a buyer might be asking.

The sentence that keeps $77,042 from becoming a promise

The single most useful discipline in writing about this market is stating, every time a number appears, what it actually measures and what set of listings or activity it was drawn from. Annual revenue around $77,042 means something specific: an average across the Avalon short-term rental competitive set, not a floor, a ceiling, or a promise for any individual property.

A host or a marketer who drops that figure into copy without the qualifying context is not lying, exactly, but is letting a reader draw a conclusion the data was never built to support. The fix costs one sentence: naming the competitive set the figure came from, and noting that individual results vary with size, location, and condition.

This habit protects the host more than it protects the reader. A buyer or a partner who later discovers that a cited figure was an average, not a guarantee, remembers who told them clearly and who let them assume otherwise. Labeling the number correctly the first time is cheaper than explaining the gap later.

Frequently Asked Questions

Does Catalina Island's million-visitor tourism figure predict Avalon rental income?

No. That figure counts island-wide arrivals across ferries, boats, and day-trippers, most of whom are not booking a short-term rental at all. Avalon host revenue is measured separately through data like AirROI's host-performance figures, which track actual bookings across the short-term rental competitive set specifically, not general foot traffic across the island.

What is the actual median monthly revenue for an Avalon short-term rental?

AirROI's host-performance data puts the median month around $6,908 across the Avalon competitive set, with an average daily rate near $721 and occupancy around 35.2 percent. Individual listings vary based on size, location within Avalon, and condition, so this figure functions as a planning benchmark rather than a guarantee for any specific property.

What is Avalon's typical annual short-term rental revenue?

The AirROI dataset locks annual revenue around $77,042 for the competitive set, with RevPAR near $256. This is an average across the set of listings tracked, not a guarantee for any specific property, and it should always be cited alongside a note about what set of listings it describes.

What does Avalon's 12 percent transient occupancy tax actually tell a host?

It tells the city how much lodging tax revenue it collected, which is a municipal budgeting figure, not a measure of visitor spending or an individual host's earnings. TOT collections and host-performance revenue can move in similar directions over time, but one is a tax base and the other is an actual earnings figure, and they should never be cited interchangeably.

What is the median cleaning fee for Avalon short-term rentals?

Around $364, based on the same AirROI extract used for the other host-performance figures. This is a pricing-structure detail separate from occupancy or tourism-spending data, and it matters for a host's own fee math rather than for forecasting overall demand.

Are Two Harbors and Catalina's Conservancy land relevant to Avalon host marketing?

They can appear in general island tourism narrative and add legitimate color to marketing copy, but they should not become part of an Avalon listing's own amenity list or revenue story. Guests booking an Avalon stay need accuracy about Avalon itself -- harbor, ferry, and house truth -- not borrowed imagery from a different part of the island.

Which months are genuinely peak for Catalina tourism and Avalon bookings?

Summer months, specifically June, August, and September, along with the winter holiday stretch of December, January, and February, show the strongest activity. January itself often becomes a genuine low point once the holiday rush clears, which is why peak-season labels should not be stretched to cover the entire year.

How should a host use Love Catalina's tourism marketing without misreading it?

As a source for destination-wide narrative and seasonal messaging, not as a stand-in for listing-level performance data. Love Catalina exists to promote the island as a whole; it is not tracking an individual Avalon property's occupancy or revenue, and a host should keep those two categories of information separate when writing their own marketing copy.

Why shouldn't a host use the visitor-arrival count to set pricing?

Because it measures general foot traffic and tourism volume across the entire island, not lodging demand for a specific property type in Avalon. A host pricing off that number risks expecting revenue the underlying host-performance data does not support, since only a fraction of island visitors ever book a short-term rental stay at all.

How should a market report distinguish tourism data from host-performance data?

By clearly labeling each figure's source and scope every time it appears -- stating plainly when a number describes island-wide visitor volume, municipal tax collections, or actual short-term rental competitive-set performance like ADR, occupancy, RevPAR, or median revenue. A reader should never have to guess which category a dollar figure belongs to.

Work with Crest & Cove Creative

A million ferry arrivals a year is a real number, but it isn't a booking calendar. Avalon's actual host-performance data tells a narrower, more useful story about what a listing is likely to earn.

Work with Crest & Cove Creative to separate Catalina's island-wide tourism narrative from the AirROI host-performance numbers that should actually drive your Avalon pricing and marketing. Send us your listing at crestcove.co or (256) 998-7502 and we'll help you read the competitive-set data that applies to your property specifically.

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