Custer, SD Short-Term Rental Market Report for 2026 Hosts

Thomas Garner
14 hours ago
14 min read

The Needles granite formations in Custer State Park South Dakota, no people

If you own a short-term rental in Custer, South Dakota, and you have gone looking for a single number that tells you what your calendar should be worth, you have probably already noticed the problem: nobody agrees. One dashboard says the typical Custer listing pulls in the high twenty-thousands a year. Another says the market has grown so fast that the typical listing is now closer to forty thousand. A third, working from a much smaller pool of listings, lands even higher. None of these are wrong exactly, but none of them are the whole picture either, and if you build your 2026 pricing calendar off whichever number you saw first, you are building it on a coin flip.

This report walks through the three sources that actually publish Custer-specific numbers as of late summer 2026: AirROI, AirDNA, and Rabbu. It treats AirROI as the primary read because its sample size is the largest of the three and its trailing-twelve-month window is the most current, and it treats AirDNA and Rabbu as secondary reads worth understanding on their own terms rather than numbers to average in. That distinction matters more in Custer than it would in a bigger market, because Custer is small enough that a difference of a few dozen listings in a data provider's sample can swing the reported average by thousands of dollars.

Nothing here is invented. Every figure below traces back to a specific published city-level page for Custer, SD, pulled and dated as noted, and where a number does not exist for Custer, this report says so rather than borrowing a number from Rapid City or Hill City and pretending it applies here. Those neighboring markets have their own dynamics, their own inventory, and in Rapid City's case a listing count many times larger than Custer's, so folding their numbers into a Custer report would tell you something false about your own town.

The AirROI Baseline: What a Typical Custer Listing Actually Earned

AirROI's Custer, SD city page, last updated August 8, 2026 and covering the trailing twelve months from August 2025 through July 2026, is built from a sample of 293 listings, which makes it the broadest single dataset available for this town. Across that sample, the typical Custer short-term rental generated $28,339 in annual revenue, with occupancy running at 40.6 percent, an average daily rate of $287, and revenue per available room, or RevPAR, of $124. Every one of those figures sits comfortably under the $45,000 mark that some hosts have heard tossed around as a typical Custer year, and it is worth saying plainly: that $45,000 figure does not come from AirROI, AirDNA, or Rabbu, and this report does not repeat it as fact.

The occupancy number deserves a second look, because 40.6 percent is a meaningful data point for a host trying to plan a calendar. It means the average Custer listing in AirROI's sample sat empty on more than half the nights of the year. That is not unusual for a market built around a summer destination economy tied to Custer State Park, Mount Rushmore, and the broader Black Hills tourism corridor, but it does mean a host chasing a forty-thousand-dollar year on AirROI's occupancy assumptions would need either a meaningfully higher rate or a longer season than the trailing twelve months actually show.

The most striking single line in the AirROI dataset is the year-over-year change: revenue down 17.4 percent compared to the prior twelve-month window. That is not a small correction. A drop of that size, in a market this size, usually reflects some combination of more listings competing for the same guest demand, softer overall booking pace across the region, or a normalization after a stronger prior year, and AirROI's page does not break out which of those forces did the most damage. What it does tell a Custer host is that whatever the market did the year before, this year's actual bookings came in noticeably lighter, and any pricing plan built on last year's numbers alone would have been too optimistic for this year.

AirDNA's Read: A Bigger Sample, a Very Different Trend Line

AirDNA's Custer, SD overview, updated September 1, 2026 with data running through August 2026, draws from a sample of 512 listings, nearly double AirROI's count. Its typical annual revenue figure comes in at $40.8 thousand, occupancy at 57 percent, average daily rate at $274, and RevPAR at $157. Every one of those figures is materially higher than AirROI's, and the occupancy gap alone, 57 percent against 40.6 percent, is more than a rounding difference. That is a market running close to three nights out of five booked in one dataset and barely two nights out of five in the other, for what is supposed to be the same town in the same rough window of time.

The trend direction is where the two sources diverge most sharply. AirDNA shows revenue up 47.9 percent year over year, occupancy up a modest 1.2 percent, and average daily rate down 2.3 percent. Read together, that is a story of a market growing mostly through more nights booked rather than higher nightly rates, and growing by a wide margin. AirROI, over roughly the same calendar window, shows revenue down 17.4 percent. Those two trend lines are not close. They are not two versions of the same story told with slightly different emphasis. They are opposite directions, and no amount of squinting reconciles a 47.9 percent gain with a 17.4 percent decline for what is nominally the same market.

This is the point where a host has to resist the urge to split the difference and assume the truth sits somewhere in the middle. It almost certainly does not work that way, because the two platforms are not measuring identical things. Different listing inventories, different methods for identifying which properties count as active short-term rentals in Custer, and different windows for what counts as the trailing twelve months can all produce swings this large in a market with only a few hundred total listings. AirDNA's larger sample, 512 versus AirROI's 293, means it is likely capturing a broader slice of the local inventory, but a broader slice is not automatically a more accurate one if that slice includes listings booked through channels or under classifications that AirROI's methodology excludes.

Rabbu's Number and Why It Should Not Anchor Your Expectations

Rabbu's Custer, SD page, current as of April 27, 2026, reports annual revenue of $57,696, built from a sample of only 60 listings, with occupancy at 26 percent and average daily rate at $241. That revenue figure is the highest of the three sources by a wide margin, and it would be tempting for a host to seize on it as the most flattering read of their market. It should not be treated that way, and the sample size is exactly why: 60 listings is a fifth the size of AirROI's sample and roughly an eighth of AirDNA's, and in a market as small as Custer, a sample that thin can be skewed by a handful of unusually large or unusually well-performing properties.

There is also an internal tension in Rabbu's own numbers worth noticing. A $57,696 annual figure paired with only 26 percent occupancy and a $241 average daily rate does not fully square on its own arithmetic the way AirROI's or AirDNA's figures do, which is a common feature of small-sample market data: the averages can be pulled by a few outlier listings, whether that is a handful of large group-friendly cabins commanding premium rates or a few properties with unusual booking patterns that do not represent the typical Custer host's experience. That is not a knock on Rabbu's data collection; it is simply what happens with an n of 60 in a market this size.

The right way to use Rabbu's number is as a data point about what is possible at the high end of the Custer market, not as a description of what a typical listing earns. If your property competes in the segment Rabbu's sample is capturing, whatever that segment turns out to be, the ceiling it suggests is real. But building a 2026 revenue plan around $57,696 when the two larger, broader samples both land well below that figure, at $28,339 and $40.8 thousand respectively, would set an expectation that most Custer listings are unlikely to meet.

Why Three Reputable Sources Can Disagree This Much

Put the three headline numbers side by side and the spread is stark: $28,339 from AirROI's 293-listing sample, $40.8 thousand from AirDNA's 512-listing sample, and $57,696 from Rabbu's 60-listing sample. Occupancy runs 40.6 percent, 57 percent, and 26 percent across the same three sources. None of these figures should be averaged together, and none of them should be treated as a rounding error away from the others, because a spread this size, more than 20 percent apart on every major metric, is not noise. It is a sign that the three platforms are drawing from different underlying inventories, applying different rules for what counts as an active Custer short-term rental, and closing their data windows on different dates.

Sample size is the most obvious driver. A dataset built from 512 listings is going to smooth out individual outliers in a way a 60-listing dataset cannot, which is one reason AirDNA and AirROI, despite their own disagreement, both land in a more plausible middle range than Rabbu's smaller sample does. But sample size alone does not explain why AirROI and AirDNA disagree on direction, with one showing a steep decline and the other showing nearly fifty percent growth over roughly the same period. That kind of gap more likely reflects differences in how each platform classifies a listing as belonging to Custer in the first place, how each handles new listings entering or inactive listings leaving the market mid-year, and how each defines the start and end of its trailing twelve-month window.

For a Custer host, the practical takeaway is not to pick a favorite platform and ignore the others. It is to hold all three in view at once, understand the shape of the disagreement, and use the range they collectively describe, roughly $28,000 to $58,000 depending on the source and the segment of the market a given listing competes in, as the honest boundaries of what is knowable right now. A host who tells a lender, a partner, or themselves that Custer is a flat $45,000-a-year market is repeating a number none of these three sources actually published.

Seasonality: Reading the June Peak and January Trough

AirROI's data identifies June as Custer's peak month and January as its lowest, which lines up with what anyone who has spent a winter in the Black Hills already knows: the tourism engine that drives Custer, Custer State Park traffic, wildlife loop drives, Mount Rushmore day trips, and the broader summer travel season through the region, runs hot from late spring through late summer and goes largely quiet once the snow sets in. A 40.6 percent occupancy rate for the full trailing year almost certainly hides a much higher in-season number and a much lower off-season number sitting on either side of that average, which is a pattern worth internalizing before you set a flat nightly rate for the whole calendar.

This is also where the disagreement between AirROI and AirDNA on occupancy, 40.6 percent against 57 percent, becomes more than an academic dispute. If your own booking calendar tracks closer to the AirROI shape, a long, deep winter trough dragging the annual average down, you should expect your shoulder-season and winter pricing to need real work: rate flexibility, minimum-stay adjustments, and honest expectations about how many of those January and February nights will book at all. If your calendar tracks closer to AirDNA's shape, with occupancy running meaningfully higher across more of the year, the growth story AirDNA's data tells, up 47.9 percent in revenue year over year, may be closer to your lived experience, and your planning should lean into extending the shoulder season rather than bracing for a long dead stretch.

Either way, the peak-and-trough shape itself is not in dispute between the sources, only its severity. That gives every Custer host a usable planning frame even without perfect agreement on the underlying dollars: build your calendar around a strong, well-marketed June-through-August window, treat the shoulder months of May and September as where careful pricing and flexible minimum stays earn their keep, and treat the winter months as a period where occupancy will run well below the annual average no matter which dataset you trust most.

Regulation, Fees, and What AirROI's Low Label Does and Doesn't Mean

AirROI's Custer city page tags the local regulatory environment as low, which is a vendor-assigned label meant to give a quick read on how restrictive local short-term rental rules appear from the outside, not a citation of Custer's actual zoning code or a summary of the city's fee schedule. A dedicated Custer County dashboard that might otherwise break out permitting detail or a county-level fee structure does not currently exist on AirROI, and neither Airbtics nor PriceLabs publish a working Custer city page as of this writing, so this report is not going to manufacture regulatory detail that no source actually provides. This is not legal advice, and any host making a decision about permitting, licensing, or local compliance in Custer should confirm current requirements directly with the City of Custer or Custer County rather than relying on a third-party data platform's one-word label.

What the low regulatory label does suggest, in the general way these vendor tags are meant to be read, is that Custer has not layered on the kind of restrictive caps, moratoriums, or dense permitting hurdles that have reshaped short-term rental markets in some larger tourist towns elsewhere. That is a reasonable thing for a host to note as a positive backdrop, but it is not a substitute for actually knowing your own compliance obligations, and it says nothing about whether local rules might tighten in the future as the market grows, particularly if AirDNA's growth read of a market up nearly 48 percent in revenue turns out to be the more accurate trajectory.

The honest summary for a Custer host weighing this factor: the available data points toward a currently permissive environment relative to other tourism markets, but that reading comes from a data vendor's shorthand label, not from the city's own published code, and it should be treated as a starting point for your own research rather than a final answer.

What This Means for How You Price and List in 2026

Start from AirROI's numbers as your baseline planning case, because its 293-listing sample and its most-current trailing-twelve-month window make it the most defensible single anchor available: an annual revenue expectation in the high twenty-thousands, occupancy near 40 percent, and an average daily rate around $287. If your own listing is well-photographed, well-reviewed, and priced competitively for its size and amenities, treat AirDNA's higher figures, a 57 percent occupancy and $40.8 thousand typical year, as the upside case you can grow toward rather than the number you should expect on day one. Treat Rabbu's $57,696 as evidence of a ceiling that exists somewhere in the market, likely among a small set of standout properties, not as a typical outcome.

Build your calendar around the seasonality all three sources point to even where they disagree on magnitude: price aggressively and market hard for the June-through-August window, use flexible rate and minimum-stay strategies in the shoulder months of May and September, and set realistic occupancy expectations for the winter trough rather than pricing your listing as though every month behaves like summer. A listing that is priced and marketed as if 57 percent occupancy is guaranteed year-round, when the largest and most current dataset shows 40.6 percent, is a listing set up for a disappointing fourth quarter.

Finally, use the spread between these three sources as a reason to invest in what you actually control: sharper listing photography that sells the specific Black Hills experience your property offers, search-optimized listing copy that speaks to the guest actually planning a Custer State Park or Mount Rushmore trip, and a pricing strategy you revisit monthly against real booking pace rather than a static annual assumption borrowed from any single dashboard. None of these three platforms can tell you exactly what your specific property will earn this year. What they can tell you, together, is the range of outcomes other Custer hosts are actually seeing, and that range is the honest starting point for your own 2026 plan.

Frequently Asked Questions

Which data source should I trust most for my Custer, SD rental?

AirROI is the strongest single anchor because its sample of 293 listings is broader than Rabbu's and its trailing-twelve-month window, running through July 2026, is the most current of the three. That said, treat AirDNA's larger 512-listing sample as a useful secondary read on where the market may be growing, and treat Rabbu's small 60-listing sample as informative but not representative. No single source should be used alone to set your full-year pricing plan.

Why do AirROI and AirDNA disagree so much on Custer's occupancy rate?

AirROI reports 40.6 percent occupancy from 293 listings while AirDNA reports 57 percent from 512 listings, a gap of more than 16 percentage points. This kind of divergence usually comes from differences in which listings each platform counts as active Custer inventory, how each handles properties entering or leaving the market mid-year, and where each draws the boundary of its trailing twelve-month window, not from one platform simply being wrong.

Is $45,000 a realistic typical annual revenue for a Custer listing?

No published source among AirROI, AirDNA, or Rabbu reports a $45,000 typical annual figure for Custer. AirROI shows $28,339, AirDNA shows $40.8 thousand, and Rabbu shows $57,696 from a much smaller sample. A $45,000 figure sits between two of these numbers but was not produced by any of them, so it should not be treated as an established market fact.

Should I average the AirROI, AirDNA, and Rabbu numbers to get one figure?

No. These three platforms disagree by more than 20 percent on revenue, occupancy, and sample size, which signals real methodological differences rather than random noise around one true number. Averaging them would produce a figure none of the underlying data actually supports. It is more useful to treat AirROI as your baseline case and the other two as separate, differently-scoped reads on the same market.

What does Custer's low regulation label actually tell me?

AirROI's page tags Custer's regulatory environment as low, but that is a vendor-assigned shorthand describing how the platform reads local friction from the outside, not a citation of the city's actual zoning code or fee schedule. Treat it as a rough signal only, not a substitute for confirming current permitting and licensing requirements directly with the City of Custer or Custer County before you list or renew a rental.

Why is Custer State Park and Mount Rushmore traffic relevant to my pricing?

AirROI identifies June as Custer's peak booking month and January as its lowest, a pattern consistent with the region's summer-driven tourism economy centered on Custer State Park, the wildlife loop, and Mount Rushmore day trips. Understanding that seasonal shape helps you decide where to concentrate marketing spend, when to hold firmer on rate, and when to build in flexibility for slower shoulder and winter months.

Can I use Rapid City or Hill City data to estimate my Custer property's performance?

No. Rapid City and Hill City are neighboring markets with different inventory sizes, including a Rapid City AirDNA sample in the thousands of listings, and mixing their numbers into a Custer estimate would misrepresent your actual local market. Stick to the Custer-specific figures from AirROI, AirDNA, and Rabbu rather than borrowing from a nearby town with a different guest base and competitive set.

Why did AirROI show a revenue decline while AirDNA showed growth for the same period?

AirROI reports Custer revenue down 17.4 percent year over year, while AirDNA reports it up 47.9 percent, both over roughly the same recent twelve-month stretch. This is not a typo or a simple disagreement over a few dollars; it reflects the two platforms measuring different inventories and applying different data collection methods, which is exactly why neither trend line should be treated as the single definitive story of Custer's trajectory.

How reliable is Rabbu's $57,696 figure given its small sample size?

Rabbu's number comes from only 60 listings, a fraction of AirROI's 293 and AirDNA's 512, which makes it far more vulnerable to being skewed by a handful of unusually high-performing properties. It is useful as a signal of what top-performing Custer listings can achieve, but it should not be read as a typical or expected outcome for a new or average listing in the market.

What should I actually do differently in how I list my Custer property this year?

Anchor your revenue expectations to AirROI's baseline figures, build your calendar around the confirmed June peak and January trough, and invest in sharper photography and listing copy aimed at guests planning a Black Hills, Custer State Park, or Mount Rushmore trip. Revisit your pricing monthly against your own actual booking pace rather than locking in a single annual number from any one data source.

Work with Crest & Cove Creative

Three data platforms tell three different stories about the Custer, SD rental market, and the difference between them is exactly where a sharper listing can win. Photos, positioning, and a calendar built around the real June peak decide who captures that demand.

If your Custer listing photos and description are not doing the work of standing out in a market this competitive, that is the fastest thing to fix before the next booking window opens. Reach out and let's build a listing that markets to the guest who is already planning their Black Hills trip.

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