Anaconda, Montana Airbnb Market Data 2026: STR Report & Statistics

Source: AirROI · Airbnb DataReviewed by Jun Zhou, Founder @ AirROI
Updated:

How much can you earn on Airbnb in Anaconda, Montana? Based on AirROI's 2026 dataset (May 2025 – April 2026), the short answer is $28,479 per year — at a $283 nightly rate, 35.4% occupancy, and a $102 RevPAR that reflects moderate rate-to-revenue efficiency with room to optimize.

At 103 active listings, Anaconda is a boutique market where moderate demand with room for well-positioned listings to outperform. Supply grew 102.0% and nightly rates have risen, creating an environment where the most bookable listings stand to capture outsized share. Hosts who pair competitive pricing with strong guest experience are well-positioned to convert the growing traveler base into consistent bookings.

Regulation is low with minimal registration requirements, pointing to an operator-friendly environment. In a market this size, differentiated listings with strong reviews can capture outsized returns relative to the competition.

What Are the Key Airbnb Metrics in Anaconda?

In Anaconda, the headline Airbnb metrics are $28,479 in average annual revenue,35.4% occupancy, $283 ADR, and $102 in RevPAR, and guests book about 57 days in advance.

Avg. Daily Rate (ADR)(?)
$283
The average rental revenue earned for an occupied room per day in Anaconda.
Occupancy Rate(?)
35.4%
Moderate demand with booking opportunities.
Avg. Annual Revenue(?)
$28,479
Average annual income for an Airbnb listing in Anaconda. Factors like property type, size, and location influence actual earnings.
RevPAR(?)
$102
Revenue per available rental night, combining occupancy and ADR into one efficiency metric.
Revenue Growth YoY(?)
-9.9%
Slight decrease (-9.9%) vs. last year.
Active Airbnb Listings(?)
103
Total number of active short-term rentals listed.
Avg. Booking Lead Time(?)
57 days
How far in advance guests typically book in Anaconda. Longer lead times indicate planned travel; shorter ones suggest last-minute demand.
STR Regulation Level(?)
Low
Fewer regulations, offering more operational flexibility.
Peak Revenue Month(?)
July
The month with the highest average earnings, indicating peak season in Anaconda.
Lowest Revenue Month(?)
April
The month with the lowest average earnings, indicating the low season in Anaconda.
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How Much Do Airbnb Hosts Earn Monthly in Anaconda?

Understanding the monthly revenue variations for Airbnb listings in Anaconda is key to maximizing your short term rental income potential. Seasonality significantly impacts earnings. Our analysis, based on data from the past 12 months, shows that the peak revenue month for STRs in Anaconda is typically July, while April often presents the lowest earnings, highlighting opportunities for strategic pricing adjustments during shoulder and low seasons. Explore the typical Airbnb income in Anaconda across different performance tiers:

  • Best-in-class properties (Top 10%) achieve $6,019+ monthly, often utilizing dynamic pricing and superior guest experiences.
  • Strong performing properties (Top 25%) earn $3,841 or more, indicating effective management and desirable locations/amenities.
  • Typical properties (Median) generate around $2,265 per month, representing the average market performance.
  • Entry-level properties (Bottom 25%) see earnings around $1,067, often with potential for optimization.

Average Monthly Airbnb Earnings Trend in Anaconda

What Is the Monthly Airbnb Occupancy Rate in Anaconda?

Maximize your bookings by understanding the Anaconda STR occupancy trends. Seasonal demand shifts significantly influence how often properties are booked. Typically, Julysees the highest demand (peak season occupancy), while April experiences the lowest (low season). Effective strategies, like adjusting minimum stays or offering promotions, can boost occupancy during slower periods. Here's how different property tiers perform in Anaconda:

  • Best-in-class properties (Top 10%) achieve 66%+ occupancy, indicating high desirability and potentially optimized availability.
  • Strong performing properties (Top 25%) maintain 52% or higher occupancy, suggesting good market fit and guest satisfaction.
  • Typical properties (Median) have an occupancy rate around 32%.
  • Entry-level properties (Bottom 25%) average 17% occupancy, potentially facing higher vacancy.

Average Monthly Occupancy Rate Trend in Anaconda

What Is the Average Airbnb Nightly Rate in Anaconda?

Effective short term rental pricing strategy in Anaconda involves understanding monthly ADR fluctuations. The Average Daily Rate (ADR) for Airbnb in Anaconda typically peaks in July and dips lowest during November. Leveraging Airbnb dynamic pricing tools or strategies based on this seasonality can significantly boost revenue. Here's a look at the typical nightly rates achieved:

  • Best-in-class properties (Top 10%) command rates of $454+ per night, often due to premium features or locations.
  • Strong performing properties (Top 25%) achieve nightly rates of $300 or more.
  • Typical properties (Median) charge around $197 per night.
  • Entry-level properties (Bottom 25%) earn around $133 per night.

Average Daily Rate (ADR) Trend by Month in Anaconda

What Is the RevPAR for Airbnb in Anaconda?

RevPAR in Anaconda is currently $102. Because RevPAR combines nightly rates with realized occupancy, it is one of the cleanest ways to compare how efficiently listings turn demand into revenue across the market.

  • Entry-level properties (Bottom 25%) see $45 RevPAR.
  • Typical properties (Median) generate $80 RevPAR.
  • Strong performers (Top 25%) earn $124 RevPAR.
  • Best-in-class (Top 10%) achieve $171 RevPAR.

Average Monthly RevPAR Trend in Anaconda

RevPAR Insights for Anaconda

  • The average RevPAR in Anaconda is $102. This metric combines nightly rates with realized occupancy, making it one of the best single-number indicators of market efficiency.
  • The gap between the top 10% ($171) and bottom 25% ($45) is $127, indicating significant performance disparity driven by property quality, pricing strategy, and location.
  • RevPAR peaks in Jul and bottoms out in Apr, mirroring the broader seasonal demand pattern and suggesting opportunities for dynamic pricing.

Recommendations for Hosts

  • Track your own RevPAR monthly against these Anaconda benchmarks. If your RevPAR falls below the median of $80, examine whether low occupancy or low ADR is the primary drag.
  • Top-quartile listings achieve $124+ RevPAR through a combination of competitive pricing, strong reviews, and strategic amenities. Target this tier through incremental improvements.
  • Use RevPAR rather than revenue alone when comparing properties of different sizes — it normalizes for available nights and gives a more accurate picture of performance.

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When Is the Peak Season for Airbnb in Anaconda?

Anaconda's peak Airbnb season falls in July, August, June, while the softest stretch is March, April, November. Overall, the market shows highly seasonal trends requiring careful strategy, which should guide pricing, minimum stays, and cash-flow planning.

Peak Season (July, August, June)
  • Revenue averages $5,011 per month
  • Occupancy rates average 51.3%
  • Daily rates average $281
Shoulder Season
  • Revenue averages $2,794 per month
  • Occupancy maintains around 32.5%
  • Daily rates hold near $260
Low Season (March, April, November)
  • Revenue drops to average $2,053 per month
  • Occupancy decreases to average 26.1%
  • Daily rates adjust to average $256

Seasonality Insights for Anaconda

  • Airbnb seasonality in Anaconda is pronounced. Revenue swings sharply between peak and low months, which means pricing strategy, minimum-stay settings, and cash reserves all need to account for extended slower periods.
  • During the high season, the absolute peak month showcases Anaconda's highest earning potential, with monthly revenues climbing to $6,140, occupancy reaching 58.4%, and ADRs peaking at $288.
  • Conversely, the slowest single month marks the market's lowest point — revenue may dip to $1,530, occupancy could drop to 20.3%, and ADRs may adjust to $245.
  • Lower occupancy paired with meaningful seasonality means hosts in Anaconda need to maximize every peak-season booking and seriously consider whether off-season pricing adjustments or minimum-stay changes can capture incremental revenue.

Seasonal Strategies for Maximizing Profit

  • Peak Season: Maximize revenue through premium pricing and potentially longer minimum stays. Ensure high availability and consider tightening cancellation policies to reduce last-minute gaps.
  • Low Season: Offer competitive pricing, extended-stay discounts, and flexible cancellation policies. Target off-season travelers like remote workers, budget-conscious guests, and travelers with flexible schedules.
  • Shoulder Seasons: Implement dynamic pricing that bridges peak and low rates. Target weekend travelers, local events, and business visitors. Slightly more flexible terms than peak season can help maintain occupancy without deep discounting.
  • In a highly seasonal market like Anaconda, building a cash reserve during the top months is essential for covering fixed costs during the slow period. Automated pricing tools can help capture demand shifts in real time.

Do You Need a License for Airbnb in Anaconda?

Low regulation and minimal registration activity in Anaconda, Montana, United States point to an operator-friendly environment. That said, even low-regulation markets may have tax collection requirements, safety standards, or HOA rules that affect short-term rental operations. Always verify the latest short-term rental regulations and Airbnb license requirements directly with local government authorities for Anaconda to ensure full compliance before hosting.

(Source: AirROI data, 2026, finding no licensed listings among those analyzed)

What Are the Best Neighborhoods for Airbnb in Anaconda?

Anaconda is a smaller vacation rental market where a handful of neighborhoods drive most of the booking activity. Choosing the right area is especially important in boutique markets — there is less room for a mediocre location to succeed on volume alone. The areas below highlight where short-term rental demand is strongest and why.

Best neighborhoods for Airbnb in Anaconda
Neighborhood / AreaWhy Host Here? (Target Guests & Appeal)Key Attractions & Landmarks
Anaconda Historic District
Rich in mining history and Victorian architecture, this area attracts visitors interested in exploring Anaconda's heritage and natural beauty, making it popular for history buffs and outdoors enthusiasts.
Old Works Golf Course, Anaconda Smoke Stack State Park, Copper Village Museum, Jasper Hills, Boulder River, Mount Haggin
Georgetown Lake
A stunning natural lake area known for outdoor recreational activities year-round, including fishing, boating, and hiking. Perfect for families and adventure-seekers looking for a tranquil getaway.
Georgetown Lake, Pintlar Wilderness, Discovery Ski Area, Thompson Park, Pintlar Scenic Loop
Flathead Lake
The largest natural freshwater lake in the western United States, popular for summer vacations and a wide variety of outdoor activities, from boating to hiking.
Flathead Lake State Park, Wild Horse Island, Flathead National Forest, Lakeside, Big Arm State Park
Boulder Creek
Ideal for fishing and hunting enthusiasts, this area offers beautiful landscapes and seclusion, appealing to those looking for quiet retreats in nature.
Boulder River, Lava Lake, Elkhorn Mountains, Red Lodge
Granite Mountain
Known for its hiking trails and stunning views, this area attracts hikers and nature lovers who wish to explore one of Montana's breathtaking mountain regions.
Granite Mountain, Trapper Peak, St. Mary’s Peak, Hiking Trails
Pintler Wilderness
A vast wilderness area that provides excellent opportunities for hiking, camping, and wildlife viewing. A great spot for nature lovers seeking adventure and solitude.
Pintler Wilderness, Wildlife Viewing, Camping Sites, Hiking Trails
Anaconda-Pintler Scenic Byway
A scenic route that showcases Anaconda's stunning natural landscape, perfect for travelers looking to explore the Montana outdoors and appreciate the picturesque views.
Scenic Byway Views, Nature Photography, Hiking Trails
Sightseeing Tours in Anaconda
Guided tours of Anaconda’s rich history, mining heritage, and natural beauty enhance the experience for tourists, making this area ideal for unique hosting options.
Historical Tours, Nature Tours, Eco Tours

With 8 distinct neighborhoods showing meaningful short-term rental activity, Anaconda offers diversification within a single market. Investors can tailor their strategy — from high-turnover tourist zones to quieter residential areas that attract longer stays and remote workers.

What Types of Properties Are on Airbnb in Anaconda?

Room Type Distribution

Property Type Distribution

Market Composition Insights for Anaconda

  • The Anaconda Airbnb market composition is heavily skewed towards Entire Home/Apt listings, which make up 91.3% of the 103 active rentals. This indicates strong guest preference for privacy and space.
  • Looking at the property type distribution in Anaconda, House properties are the most common (57.3%), reflecting the local real estate landscape.
  • Houses represent a significant 57.3% portion, catering likely to families or larger groups.
  • The presence of 12.6% Hotel/Boutique listings indicates integration with traditional hospitality.
  • Smaller segments like apartment/condo, others (combined 5.9%) offer potential for unique stay experiences.

Anaconda Airbnb Room Capacity Analysis (2026): Bedroom Distribution

Distribution of Listings by Number of Bedrooms

Room Capacity Insights for Anaconda

  • The dominant room capacity in Anaconda is 3 bedrooms listings, making up 31.1% of the market. This suggests a strong demand for properties suitable for families or small groups.
  • Together, 3 bedrooms and 2 bedrooms properties represent 62.2% of the active Airbnb listings in Anaconda, indicating a high concentration in these sizes.
  • A significant 46.6% of listings offer 3+ bedrooms, catering to larger groups and families seeking more space in Anaconda.

Anaconda Vacation Rental Guest Capacity Trends (2026)

Distribution of Listings by Guest Capacity

Guest Capacity Insights for Anaconda

  • The most common guest capacity trend in Anaconda vacation rentals is listings accommodating 8+ guests (37.9%). This suggests the primary traveler segment is likely larger groups.
  • Properties designed for 8+ guests and 4 guests dominate the Anaconda STR market, accounting for 58.3% of listings.
  • 62.2% of properties accommodate 6+ guests, serving the market segment for larger families or group travel in Anaconda.
  • On average, properties in Anaconda are equipped to host 5.9 guests.

How Do Listings in Anaconda Compare on Quality?

Listing quality in Anaconda can be approximated through presentation depth, bedroom count, and how often hosts disclose exact locations. These signals show how professionally the local supply base is merchandised.

Average Photos per Listing(?)
27.7
More photos correlate with higher conversion rates.
Average Beds per Listing(?)
4.3
Reflects the capacity profile of the local supply.
Exact Location Enabled(?)
31.1%
Builds guest trust and improves booking confidence.

Listing Quality Insights for Anaconda

  • At 27.7 photos per listing on average, Anaconda hosts invest well in visual presentation. Listings with 20+ photos consistently outperform in search ranking and conversion.
  • 31.1% of listings show their exact location. Lower disclosure rates can increase booking hesitation — guests want to know exactly where they are staying.

Recommendations for Hosts

  • Enable exact location if possible — it removes a common source of guest uncertainty and can improve your listing's position in map-based searches.
  • Use these quality indicators as a self-audit checklist. Listings that exceed the Anaconda averages across all three metrics are better positioned for premium pricing.

What Amenities Do Airbnb Guests Expect in Anaconda?

Amenity Prevalence

Amenity Insights for Anaconda

  • Essential amenities in Anaconda that guests expect include: Free parking on premises, Heating, TV, Smoke alarm, Wifi. Lacking these (any) could significantly impact bookings.
  • Popular amenities like Kitchen, Hot water, Microwave are common but not universal. Offering these can provide a competitive edge.

Recommendations for Hosts

  • Ensure your listing includes all essential amenities for Anaconda: Free parking on premises, Heating, TV, Smoke alarm, Wifi.
  • Prioritize adding missing essentials: Free parking on premises, Heating, Wifi.
  • Consider adding popular differentiators like Kitchen or Hot water to increase appeal.
  • Highlight unique or less common amenities you offer (e.g., hot tub, dedicated workspace, EV charger) in your listing description and photos.
  • Regularly check competitor amenities in Anaconda to stay competitive.

Which Airbnb Amenities Boost Revenue in Anaconda?

Not every amenity matters equally. This table focuses on the amenities most associated with higher revenue in Anaconda, which makes it more useful for prioritizing upgrades than a simple popularity list alone.

AmenityPrevalenceRevenue WithRevenue WithoutRevenue Uplift
Boat slipHigh opportunity
5.8%$117,410$22,978411.0%
Kitchen
91.3%$30,627$6,047406.5%
GymHigh opportunity
4.9%$101,460$24,756309.8%
Exercise equipmentHigh opportunity
6.8%$89,337$24,042271.6%
Oven
80.6%$33,142$9,130263.0%
Dryer
81.6%$32,624$10,154221.3%
Washer
82.5%$32,324$10,324213.1%
Waterfront
10.7%$71,949$23,282209.0%
Microwave
88.3%$30,892$10,184203.3%
KayakHigh opportunity
6.8%$73,109$25,225189.8%

Revenue Impact Insights for Anaconda

  • Boat slip tops the revenue impact list with a 411.0% uplift — listings with this amenity earn $117,410 vs. $22,978 without it.
  • High-opportunity amenities — Boat slip, Gym, Exercise equipment — combine revenue uplift above 100% with prevalence under 10%, meaning most competitors haven't adopted them yet.
  • Kitchen, Oven, Dryer, Washer, Microwave — while widespread — still correlate with meaningful revenue gains, making them table stakes rather than true differentiators.

Recommendations for Hosts

  • Prioritize adding Boat slip — it has the best combination of high revenue impact and low market saturation in Anaconda.
  • Focus your upgrade budget on amenities in the top half of this table. Below-median amenities may improve guest experience but contribute less to revenue growth.
  • Highlight revenue-impacting amenities prominently in your listing title, photos, and description — guests can't value what they don't notice.

Dive Deeper: Advanced Anaconda STR Market Data (2026)

Ready to unlock more insights? AirROI provides access to advanced metrics and comprehensive Airbnb data for Anaconda. Explore detailed analytics beyond this report to refine your investment strategy, optimize pricing, and maximize your vacation rental profits.

Explore Advanced Metrics

Anaconda Airbnb Guest Demographics & Profile Analysis (2026)

Guest Origin: Domestic vs. International
Top 5 Cities of Origin
Top 5 Countries of Origin
Top 5 Languages Spoken
Guest Age Distribution (Birth Decade)

Guest Profile Summary for Anaconda

  • The typical guest profile for Airbnb in Anaconda consists of primarily domestic travelers (97%), often arriving from nearby Missoula, typically belonging to the Post-2000s (Gen Z/Alpha) group (50%), primarily speaking English or Spanish.
  • Domestic travelers account for 96.9% of guests.
  • Key international markets include United States (96.9%) and Canada (1.1%).
  • Top languages spoken are English (76.9%) followed by Spanish (9%).
  • A significant demographic segment is the Post-2000s (Gen Z/Alpha) group, representing 50% of guests.

Recommendations for Hosts

  • Target domestic marketing efforts towards travelers from Missoula and Bozeman.
  • Tailor amenities and listing descriptions to appeal to the dominant Post-2000s (Gen Z/Alpha) demographic (e.g., highlight fast WiFi, smart home features, local guides).
  • Highlight unique local experiences or amenities relevant to the primary guest profile.
  • Consider seasonal promotions aligned with peak travel times for key origin markets.

What Are Airbnb Guest Ratings in Anaconda?

Listings in Anaconda average 4.9 out of 5 overall, with about 45.9 reviews per active listing and 62.1% of listings carrying the Guest Favorite badge.

Rating Breakdown by Category

Guest Rating Insights for Anaconda

  • With an overall rating of 4.9, Anaconda listings meet an exceptionally high bar. Guests consistently report strong satisfaction, which drives repeat bookings and referral traffic.
  • The strongest subcategory is Communication (4.95), while Value (4.82) trails behind — a useful signal for hosts looking to prioritize upgrades.
  • 62.1% of listings carry the Guest Favorite badge, a strong trust signal that can meaningfully lift click-through and booking rates.

Recommendations for Hosts

  • Focus improvement efforts on Value — even small gains in the weakest subcategory can lift overall ratings and search ranking.
  • Encourage guests to leave reviews after checkout. Listings with more reviews rank higher in search results and convert browsers into bookers more effectively.

Anaconda Airbnb Booking Patterns (2026): Available vs. Booked Days

Available Days Distribution

Booked Days Distribution

Booking Pattern Insights for Anaconda

  • The most common availability pattern in Anaconda falls within the 271-366 days range, representing 54.4% of listings. This suggests many properties have significant open periods on their calendars.
  • Approximately 88.4% of listings show high availability (181+ days open annually), indicating potential for increased bookings or specific owner usage patterns.
  • For booked days, the 31-90 days range is most frequent in Anaconda (36.9%), reflecting common guest stay durations or potential owner blocking patterns.
  • A notable 14.6% of properties secure long booking periods (181+ days booked per year), highlighting successful long-term rental strategies or significant owner usage.

How Far in Advance Do Guests Book Airbnb in Anaconda?

Average Booking Lead Time by Month

Booking Lead Time Insights for Anaconda

  • The overall average booking lead time for vacation rentals in Anaconda is 57 days.
  • Guests book furthest in advance for stays during July (average 90 days), likely coinciding with peak travel demand or local events.
  • The shortest booking windows occur for stays in October (average 31 days), indicating more last-minute travel plans during this time.
  • Seasonally, Summer (77 days avg.) sees the longest lead times, while Spring (43 days avg.) has the shortest, reflecting typical travel planning cycles.

Recommendations for Hosts

  • Use the overall average lead time (57 days) as a baseline for your pricing and availability strategy in Anaconda.
  • For July stays, consider implementing length-of-stay discounts or slightly higher rates for bookings made less than 90 days out to capitalize on advance planning.
  • Target marketing efforts for the Summer season well in advance (at least 77 days) to capture early planners.
  • Monitor your own booking lead times against these Anaconda averages to identify opportunities for dynamic pricing adjustments.

What Is the Average Length of Stay for Airbnb in Anaconda?

Guests in Anaconda stay about 4.2 nights on average, generating roughly 2,115 reservations and 20.5 bookings per listing in the latest AirROI dataset. The most common check-in time is 4:00 PM and check-out is 11:00 AM.

Monthly Length of Stay in Anaconda

Check-in Time Distribution

Check-out Time Distribution

Stay Pattern Insights for Anaconda

  • A mid-range stay length points to leisure-driven demand — weekend getaways and short vacations. Hosts should optimize for quick turnover efficiency while keeping the guest experience smooth.
  • At 20.5 bookings per listing, the turnover rate is high. Hosts with streamlined operations (self-check-in, automated messaging, reliable cleaners) have a structural advantage.
  • Stay lengths peak in May (5 nights) and shorten in Apr (3.1 nights). Adjust minimum-night requirements seasonally to match.

Recommendations for Hosts

  • With shorter average stays, focus on streamlining turnover. Self-check-in, reliable cleaning crews, and pre-staged amenities can reduce per-booking operational costs.
  • Set your check-in time to match or beat the market standard of 4:00 PM. Offering early check-in flexibility can be a low-cost differentiator.
  • Monitor length-of-stay seasonality to adjust minimum-night requirements — longer minimums during peak periods maximize revenue while shorter minimums fill gaps in shoulder seasons.

Anaconda Airbnb Minimum Stay Requirements Analysis

Distribution of Listings by Minimum Night Requirement

1 Night (20.4%)

1 Night

21 listings

20.4% of total

2 Nights (33%)

2 Nights

34 listings

33% of total

3 Nights (10.7%)

3 Nights

11 listings

10.7% of total

4-6 Nights (5.8%)

4-6 Nights

6 listings

5.8% of total

7-29 Nights (3.9%)

7-29 Nights

4 listings

3.9% of total

30+ Nights (26.2%)

30+ Nights

27 listings

26.2% of total

Key Insights

  • The most prevalent minimum stay requirement in Anaconda is 2 Nights, adopted by 33% of listings. This highlights the market's preference for shorter, flexible bookings.
  • A significant segment (26.2%) caters to monthly stays (30+ nights) in Anaconda, pointing to opportunities in the extended-stay market.

Recommendations

  • Align with the market by considering a 2 Nights minimum stay, as 33% of Anaconda hosts use this setting.
  • If feasible, allowing 1-night stays, especially midweek or during low season, could capture last-minute bookings, as only 20.4% currently do.
  • Explore offering discounts for stays of 30+ nights to attract the 26.2% of the market seeking extended stays.
  • Adjust minimum nights based on seasonality – potentially shorter during low season and longer during peak demand periods in Anaconda.

Anaconda Airbnb Cancellation Policy Trends Analysis (2026)

Super Strict 60 Days

1 listings

1% of total

Limited

4 listings

3.9% of total

Super Strict 30 Days

3 listings

2.9% of total

Flexible (11.7%)

Flexible

12 listings

11.7% of total

Moderate (30.1%)

Moderate

31 listings

30.1% of total

Firm (29.1%)

Firm

30 listings

29.1% of total

Strict (21.4%)

Strict

22 listings

21.4% of total

Cancellation Policy Insights for Anaconda

  • The prevailing Airbnb cancellation policy trend in Anaconda is Moderate, used by 30.1% of listings.
  • A majority (50.5%) of hosts in Anaconda utilize Firm or Strict policies, indicating a market where hosts prioritize booking security.

Recommendations for Hosts

  • Consider adopting a Moderate policy to align with the 30.1% market standard in Anaconda.
  • Regularly review your cancellation policy against competitors and market demand shifts in Anaconda.

How Much Are Airbnb Cleaning Fees in Anaconda?

Cleaning fees in Anaconda are meaningful operating levers, not just pass-through charges. What matters most is how often hosts charge them, how high they run relative to market norms, and how large a share of gross revenue they consume.

Average Cleaning Fee
$134
Median Cleaning Fee
$135
Listings Charging a Fee
92.2%
Fee as Revenue Share
10.4%

Cleaning Fee Insights for Anaconda

  • 92.2% of listings charge a cleaning fee, making it standard practice in Anaconda. Guests expect it and factor it into their booking decisions.
  • The average cleaning fee of $134 is close to the median ($135), suggesting a relatively consistent fee structure across the market.
  • Cleaning fees represent 10.4% of gross revenue on average — a significant line item that impacts total guest cost and competitiveness.

Recommendations for Hosts

  • Price your cleaning fee competitively against the Anaconda median of $135. Fees significantly above market norms can deter bookings, especially for shorter stays.
  • Consider whether bundling the cleaning fee into a slightly higher nightly rate might improve conversion, since many guests filter by total price and separate fees can feel punitive.
  • Monitor competitor cleaning fees regularly. Airbnb's search algorithm factors in total price, so a well-calibrated cleaning fee can improve your listing's ranking.

What Do the Top Airbnb Listings in Anaconda Look Like?

Benchmark your potential! Explore examples of top-performing Airbnb properties in Anacondabased on Trailing Twelve Month (TTM) revenue. Analyze their characteristics, revenue, occupancy rate, and ADR to understand what drives success in this market.

Georgetown Lakefront Luxury

Georgetown Lakefront Luxury

Entire Place • 7 bedrooms

$322,378
Revenue
61.2%
Occupancy
$1252.56
Daily Rate
New modern lakefront cabin with stunning views!

New modern lakefront cabin with stunning views!

Entire Place • 4 bedrooms

$188,159
Revenue
38.4%
Occupancy
$1099.29
Daily Rate
Georgetown Mountain Lake Lodge

Georgetown Mountain Lake Lodge

Entire Place • 5 bedrooms

$119,895
Revenue
32.7%
Occupancy
$1069.53
Daily Rate
Mountain Getaway with a View

Mountain Getaway with a View

Entire Place • 7 bedrooms

$91,892
Revenue
21.6%
Occupancy
$1075.14
Daily Rate
Georgetown Four Seasons

Georgetown Four Seasons

Entire Place • 4 bedrooms

$68,512
Revenue
31.3%
Occupancy
$646.41
Daily Rate
Georgetown Lake W 360 View, Hot Tub & 2 Saunas

Georgetown Lake W 360 View, Hot Tub & 2 Saunas

Entire Place • 4 bedrooms

$66,694
Revenue
50.1%
Occupancy
$367.54
Daily Rate

Note: Performance varies based on location, size, amenities, seasonality, and management quality. Data reflects the past 12 months.

Who Are the Top Airbnb Hosts in Anaconda?

Learn from the best! This table showcases top-performing Airbnb hosts in Anaconda based on the number of properties managed and estimated total revenue over the past year. Analyze their scale and performance metrics.

Top Airbnb hosts in Anaconda by revenue
Host NamePropertiesGrossing RevenueStay ReviewsAvg Rating
Becky18$772,7863214.98/5.0
Switchback Premier Adventure P7$213,1112474.93/5.0
Pintler1$188,1591904.99/5.0
Piper2$97,3062974.95/5.0
Tracy1$91,892384.97/5.0
Nic2$55,6281134.96/5.0
David1$53,55675.00/5.0
Phillip1$51,628605.00/5.0
Cate1$51,261254.96/5.0
Pauly1$51,202585.00/5.0

Analyzing the strategies of top hosts, such as their property selection, pricing, and guest communication, can offer valuable lessons for optimizing your own Airbnb operations in Anaconda.

Who Are the Airbnb Hosts in Anaconda?

Anaconda is a quality-focused market, with a high Superhost share and fairly mature operating standards.

Superhosts
67.0%
Professional Management
30.1%
Cohosted Listings
27.2%
Instant Book Enabled
2.9%
Simplified Pricing
76.7%

Host Profile Insights for Anaconda

  • With 67.0% Superhosts, Anaconda has an experienced host base that sets high guest expectations. New entrants should plan for competitive quality standards.
  • 30.1% of listings are professionally managed, indicating a mature, competitive market with institutional players.
  • 2.9% of listings have Instant Book enabled. Lower Instant Book adoption means many guests must request approval, which can slow conversions.
  • 76.7% of listings use Airbnb's simplified pricing (host-only fee), where the host pays the entire platform service fee and the guest sees one all-in price with no separate Airbnb service charge. High adoption signals a professional, PMS-connected host base — Airbnb mandates simplified pricing for software-connected listings.

Recommendations for Hosts

  • Consider enabling Instant Book — it reduces booking friction and Airbnb's algorithm tends to favor Instant Book listings in search results.
  • With 27.2% cohosted listings, there may be a growing local market for property management services.
  • Benchmark your host metrics against these Anaconda averages regularly and adjust your hosting strategy based on what top performers do differently.

Top Professional Management Companies in Anaconda

These are the highest-grossing professional property management operations in Anaconda, ranked by total revenue across their portfolio. Their performance metrics offer a benchmark for what institutional-level hosting looks like in this market.

Top Airbnb management companies in Anaconda
CompanyListingsRevenueADROcc.Rating
Becky18$772,786$45828.8%4.98/5
Switchback Premier Adventure P7$213,111$23945.4%4.93/5
Evolve2$46,492$15139.4%4.91/5
Allison1$21,346$17241.7%4.85/5
Robin1$20,631$61328.7%4.90/5
Mary3$12,196$18411.1%4.83/5
Carissa1$11,218$25939.3%N/A

Management Company Insights for Anaconda

  • The leading management company, Becky, operates 18 listings with $772,786 in gross revenue — a useful benchmark for what scale looks like in Anaconda.
  • Top managers average 5 properties each, suggesting professional management in Anaconda still operates at a relatively boutique scale.
  • Professionally managed listings in the top tier average 4.9/5 in guest ratings — demonstrating that scale and quality can coexist.

Recommendations

  • Study how top management companies price, position, and maintain their portfolios — their ADR and occupancy rates reflect strategies refined across dozens of listings.
  • If you're considering hiring a property manager, compare their portfolio performance against these benchmarks before committing.

How Does Anaconda's Airbnb Market Compare to Nearby Cities?

How does the Anaconda Airbnb market stack up against its neighbors? Compare key performance metrics like average monthly revenue, ADR, and occupancy rates in surrounding areas to understand the broader regional STR landscape.

Compared with Missoula, Anaconda has 14 percentage points lower occupancy and about $61 higher ADR. That helps frame whether this market is winning more on demand, pricing, or both.

Airbnb markets near Anaconda — performance comparison
MarketActive PropertiesMonthly RevenueDaily RateAvg. Occupancy
Missoula County13$3,752$466.8538%
Dayton14$3,069$436.3043%
Polson137$2,706$391.8344%
Missoula542$2,635$221.1749%
Philipsburg54$2,575$251.1640%
Polaris10$2,483$286.1638%
Hamilton128$2,401$271.5238%
Wolf Creek31$2,324$335.3137%
Clinton20$2,299$258.8438%
Big Arm13$2,207$381.1642%

Frequently Asked Questions About Airbnb in Anaconda

These quick answers summarize the most common investor and operator questions using AirROI's latest market data for Anaconda.

How much do Airbnb hosts make in Anaconda?

Anaconda hosts earn about $28,479 per year on average, with an average nightly rate of $283 and RevPAR of $102. Those figures describe the typical revenue environment for active listings in Anaconda, Montana, not the ceiling for the best operators. Source: AirROI 2026 data, Anaconda market, May 2025 to April 2026.

What is the average Airbnb occupancy rate in Anaconda?

The average Airbnb occupancy rate in Anaconda is 35.4%. July is the strongest month and April is the softest, so hosts should expect demand to move meaningfully throughout the year rather than stay flat.

What is the average Airbnb daily rate in Anaconda?

Listings in Anaconda average $283 per night. The broader pricing spread also matters: lower-performing listings cluster closer to the lower quartiles, while premium homes can price materially above the city average when demand spikes or listing quality stands out.

How many Airbnb listings are active in Anaconda?

Anaconda currently has about 103 active Airbnb listings in AirROI's market dataset. That supply count helps explain how competitive the market is, how much depth there is for benchmarking, and whether the market behaves like a niche destination or a scaled urban market.

How strict are short-term rental regulations in Anaconda?

AirROI currently classifies the short-term rental regulation level in Anaconda as Low. The dataset also shows about 0.0% of listings with registration evidence. That is a market signal, not legal advice, so hosts should still confirm current licensing and compliance rules locally before listing.

What is the RevPAR for Airbnb in Anaconda?

RevPAR in Anaconda is about $102. That metric combines pricing and occupancy into one efficiency number, so it is often a better quick benchmark than ADR alone when investors want to compare how well listings convert nightly rates into realized revenue.

Is Airbnb profitable in Anaconda?

Occupancy of 35.4% means Anaconda is a more selective market. Profitability is achievable but requires careful cost management, premium positioning, or targeting longer stays to reduce turnover. Average annual revenue is $28,479, but individual returns depend on property type, location within the city, and the host's operating efficiency.

How far in advance do guests book Airbnb in Anaconda?

The average booking lead time in Anaconda is about 57 days — a longer planning horizon typical of destination or vacation markets where travelers book well in advance. Hosts who understand their market's booking cadence can adjust minimum stays and pricing windows accordingly.

What are the best neighborhoods for Airbnb in Anaconda?

Based on AirROI's analysis, some of the top neighborhoods for short-term rentals in Anaconda include Anaconda Historic District, Georgetown Lake, Flathead Lake. Each area attracts different guest profiles — from business travelers to leisure visitors — so the best location depends on the property type and target audience a host is aiming for. See the full neighborhood breakdown above.

What type of property performs best on Airbnb in Anaconda?

entire_home listings make up 91.3% of the active supply in Anaconda. The most common configuration does not always mean the most profitable — operators who identify underserved property types or bedroom counts can sometimes outperform the market average by filling a gap in local supply.

How does Anaconda compare to nearby Airbnb markets?

Among neighboring markets, Missoula County posts $45,026 in average annual revenue with 38.1% occupancy, compared to Anaconda's $28,479 and 35.4%. Comparing nearby markets helps investors understand whether a destination's performance reflects local demand or broader regional trends.

What is the average length of stay in Anaconda?

The average Airbnb stay length in Anaconda is about 4.2 nights. That matters for turnover, cleaning operations, and pricing strategy because shorter stays increase changeovers while longer stays can smooth occupancy and reduce operational friction.

What is the average Airbnb guest rating in Anaconda?

Airbnb listings in Anaconda average 4.9 out of 5 overall. About 62.1% of listings carry the guest favorite badge, which suggests a meaningful share of inventory is competing on review quality rather than price alone.

Which amenities boost Airbnb revenue in Anaconda?

Boat slip and Kitchen are among the strongest revenue-linked amenities in Anaconda. In AirROI's latest dataset, listings with these amenities outperform those without on average revenue, which makes amenities analysis useful for prioritizing investment and listing upgrades.

Do Airbnb hosts charge cleaning fees in Anaconda?

Yes. About 92.2% of active Airbnb listings in Anaconda charge a cleaning fee, and the average fee is $134. The more important operating benchmark is how much of gross revenue that fee consumes, not just the absolute dollar amount.

What percentage of Airbnb hosts are Superhosts in Anaconda?

A 67.0% Superhost rate signals a highly competitive market where review quality and responsiveness are table stakes, not differentiators.

About AirROI Market Data

AirROI tracks over 20 million properties across 190+ countries and maintains 15+ years of historical performance data, making it one of the deepest Airbnb and STR intelligence platforms available. The analytics pipeline aggregates listing-level data monthly — revenue, occupancy, nightly rates, RevPAR, guest demographics, booking patterns, and competitive supply — so investors and operators can benchmark any market against its own history and against neighboring destinations.

Real estate investors, property managers, financial institutions, hedge funds, tourism boards, hospitality consultants, tech platforms, and academic researchers rely on AirROI data to underwrite acquisitions, optimize pricing, model macro trends, and conduct peer-reviewed research. Data is available through in-depth market reports like this one and the Airbnb API with 22 endpoints and an Airbnb MCP Server for AI agents.

AirROI proprietary analytics as of 2026-04-30. Metrics reflect trailing twelve-month aggregates from active listings. Revenue figures are market averages, not projections. Neighborhood descriptions are AI-generated and reviewed for accuracy. For full methodology, see the data methodology page.

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