Airbnb Statistics by City for Serious U.S. Operators
Airbnb Statistics by City (2026)
Airbnb statistics by city help hosts, investors, and managers compare short-term rental performance across U.S. markets. Using consistent metrics, Average Daily Rate (ADR), occupancy, Revenue per Available Rental (RevPAR), and annual revenue, you can benchmark listings against local norms and evaluate which cities fit your goals. (airdna.co)
This guide summarizes recent city-level performance across 30+ U.S. markets and links the benchmarks to pricing and expansion decisions. All quantitative figures come from one third-party source for consistency. AirDNA’s broader 2025 U.S. market commentary also points to occupancy recovering toward longer-run norms through 2026, while regulation continues to reshape supply in several urban markets. (help.airdna.co)
Methodology and Data Source
All city-level figures in the tables below are based on:
- Source: AirDNA, MarketMinder city overview pages and market-data directory
- Publisher: AirDNA, LLC (third-party short-term rental data provider)
- Dataset: Airbnb and Vrbo combined, using the top-line market metrics shown on each public city overview page
- Timeframe: Rolling annual metrics labeled “past year” on AirDNA city pages; used here as 2025 benchmark data
- Metrics: Average Daily Rate (ADR), Occupancy Rate, RevPAR, Annual Revenue
- Retrieval date: March 9, 2026
- Access: AirDNA market-data hub and city-level MarketMinder overview pages (airdna.co)
Values are rounded to the nearest dollar, whole percentage, or nearest hundred dollars for annual revenue. Because AirDNA’s public pages expose rolling annual “past year” values, these figures should be treated as consistent 2025-era city benchmarks, not a strict public calendar-year export. (airdna.co)
Source set used for all city tables, markets 1–8: Honolulu, New York, Miami, San Francisco, San Diego, Los Angeles, Nashville, Austin. (airdna.co)
Source set used for all city tables, markets 9–16: Charleston, Portland (ME), New Orleans, Seattle, Orlando, Chicago, Savannah, Denver. (airdna.co)
Source set used for all city tables, markets 17–24: Tampa, Las Vegas, Atlanta, Phoenix, Salt Lake City, Charlotte, Portland (OR), Dallas. (airdna.co)
Source set used for all city tables, markets 25–32: San Antonio, Raleigh, Boise, Houston, Indianapolis, Kansas City, Columbus, Oklahoma City. (airdna.co)
Key Short-Term Rental Metrics Defined
- Average Daily Rate (ADR): Average booked nightly rate.
- Occupancy Rate: Share of available nights that are booked.
- RevPAR (Revenue per Available Rental): Revenue per available night, including unbooked nights.
- Annual Revenue: AirDNA’s annualized average revenue per listing displayed on each city overview page.
- Booking Window: Average days between booking and check-in.
- Length of Stay: Average nights per reservation.
- Channel Mix: Share of bookings from Airbnb, Vrbo, direct, and other channels. (airdna.co)
The tables focus on ADR, occupancy, RevPAR, and annual revenue for the clearest cross-city comparisons.
Airbnb ADR by City (2025 Benchmarks)
ADR still varies widely by tourism demand, regulation, seasonality, and property mix. In this 32-city benchmark set, Charleston, Portland (ME), Nashville, and San Diego lead on nightly rate, while many secondary and inland markets cluster closer to the mid-$100s. (airdna.co)
City State ADR (USD)
Charleston SC $381
Portland ME $360
Nashville TN $357
San Diego CA $328
New Orleans LA $306
Honolulu HI $293
Savannah GA $289
Las Vegas NV $284
Miami FL $273
Austin TX $263
San Francisco CA $262
New York NY $246
Orlando FL $240
Chicago IL $226
Los Angeles CA $223
Phoenix AZ $222
Seattle WA $205
Atlanta GA $193
Dallas TX $192
Indianapolis IN $190
Tampa FL $189
Charlotte NC $185
Salt Lake City UT $184
Kansas City MO $181
Denver CO $178
Houston TX $177
San Antonio TX $176
Columbus OH $169
Raleigh NC $164
Boise ID $163
Portland OR $157
Oklahoma City OK $136
Airbnb Occupancy Rate by City (2025 Benchmarks)
Occupancy highlights how effectively a city converts demand into booked nights. New York leads this data set at 70%, with Denver at 66%, and a large middle tier, including San Francisco, Honolulu, Los Angeles, Charleston, Boise, Seattle, Portland (OR), Salt Lake City, and Kansas City, landing in the low-to-mid 60s. (airdna.co)
City State Occupancy Rate
New York NY 70%
Denver CO 66%
San Francisco CA 65%
Honolulu HI 64%
Los Angeles CA 64%
Charleston SC 64%
Boise ID 64%
Seattle WA 63%
Portland OR 63%
Salt Lake City UT 62%
Kansas City MO 62%
Chicago IL 60%
San Diego CA 59%
Phoenix AZ 59%
Columbus OH 59%
Portland ME 58%
Savannah GA 58%
Oklahoma City OK 57%
Tampa FL 57%
Miami FL 56%
Raleigh NC 56%
Austin TX 55%
San Antonio TX 55%
Nashville TN 54%
Charlotte NC 54%
Orlando FL 53%
Dallas TX 53%
Houston TX 52%
Indianapolis IN 52%
Las Vegas NV 49%
Atlanta GA 49%
New Orleans LA 47%
Airbnb RevPAR and Revenue by City (2025 Benchmarks)
RevPAR combines pricing and demand into one benchmark, making it especially useful for comparing markets with different nightly rate strategies. Charleston is the clear leader in this set, followed by Portland (ME), Nashville, San Diego, and Honolulu. (airdna.co)
City State RevPAR (USD) Annual Revenue (USD)*
Charleston SC $242 $58,300
Portland ME $192 $40,400
Nashville TN $181 $41,600
San Diego CA $179 $38,100
Honolulu HI $170 $38,500
Savannah GA $161 $38,300
New York NY $149 $27,300
San Francisco CA $148 $28,200
Miami FL $141 $26,000
New Orleans LA $138 $29,100
Austin TX $127 $24,300
Los Angeles CA $125 $21,000
Orlando FL $125 $24,000
Phoenix AZ $122 $20,600
Las Vegas NV $120 $23,500
Chicago IL $118 $27,200
Seattle WA $117 $25,600
Denver CO $107 $23,900
Salt Lake City UT $104 $22,000
Tampa FL $104 $20,500
Boise ID $97 $21,900
Kansas City MO $96 $21,400
Charlotte NC $94 $19,300
Dallas TX $94 $18,100
Portland OR $92 $21,100
Indianapolis IN $92 $19,500
San Antonio TX $89 $19,400
Columbus OH $89 $20,800
Raleigh NC $87 $18,400
Atlanta GA $87 $17,100
Houston TX $86 $15,700
Oklahoma City OK $71 $16,600
*Annual Revenue reflects AirDNA’s annualized average revenue per listing as displayed on each city overview page. (airdna.co)
High-Demand Cities with Strong ADR and Occupancy
High-demand markets in this data set now skew a little differently than older 2023 tables. Charleston, Portland (ME), Nashville, San Diego, Honolulu, Savannah, New York, and San Francisco stand out, but they do so through slightly different mixes of rate power and booked-night consistency. Charleston leads on both ADR and RevPAR, New York leads on occupancy, and San Diego/Nashville combine strong rates with solid demand. (airdna.co)
Common patterns in these markets include:
- ADR often above $260, and in several top leisure markets well above $300
- Occupancy commonly in the upper 50s to mid 60s, with New York reaching 70%
- RevPAR above $140 in the strongest-performing cities, with Charleston far ahead of the pack at $242 (airdna.co)
These markets can support stronger revenue per listing, but they also tend to bring higher acquisition costs, sharper competition, and more pressure to execute well on pricing, reviews, and operations. AirDNA’s 2025 market commentary also notes that regulatory pressure continues to shape supply in several urban markets, which can both constrain growth and support pricing power for compliant operators. (help.airdna.co)
Emerging and Secondary Cities with Upside
Several mid-sized and secondary markets still offer a compelling balance of entry cost and operational upside. The Texas and broader Sun Belt group, including Phoenix, Tampa, Dallas, San Antonio, Houston, and Oklahoma City, sits mostly in the ADR range of roughly $136 to $222, with occupancy generally between 52% and 59%. (airdna.co)
Business and research hubs such as Raleigh, Charlotte, Columbus, Indianapolis, and Kansas City show steadier middle-market performance, with ADR mostly in the $164 to $190 range and occupancy from 52% to 62%. That profile can be attractive for operators who value less volatile pricing and more repeatable demand. (airdna.co)
A few secondary cities also stand out as occupancy-led performers. Boise and Kansas City both clear 62% occupancy, while Portland (OR) reaches 63%, even though their ADRs are much lower than top leisure markets like Charleston or San Diego. For many hosts, that can translate into a steadier operating model with fewer extreme peaks and troughs. (airdna.co)
These cities may offer lower entry costs, less headline competition, and more room to improve results through better operations, better reviews, and smarter calendar management.
Deep Dive on Occupancy, Seasonality, and Events
City averages still hide seasonal and weekday/weekend swings. AirDNA’s city pages and 2025 U.S. commentary both reinforce that supply, regulation, and demand patterns are not uniform across markets, even when annual averages look similar. (help.airdna.co)
Common patterns include:
- Coastal and leisure markets such as Charleston, Honolulu, Savannah, Portland (ME), and San Diego pairing high ADR with stronger seasonal surges.
- Urban and business-heavy cities such as New York, Chicago, Seattle, and Denver leaning more on base occupancy and recurring travel demand.
- Event-centric markets such as Nashville, Austin, New Orleans, Las Vegas, and Orlando seeing outsized performance around concerts, conventions, sports, and holiday periods. (airdna.co)
Practical levers include:
- Seasonal pricing bands around peak and low-demand periods
- Minimum-stay adjustments for event weeks versus normal weekends
- Owner blocks, maintenance, or upgrade windows during historically softer periods
Understanding the annual occupancy curve helps operators match markets to utilization targets and risk tolerance.
Using City Airbnb Data to Design a Scaling Plan
To make city benchmarks actionable:
- Use ADR, occupancy, RevPAR, and annual revenue to shortlist markets that fit your budget and guest profile.
- Compare your listings’ results with city averages; persistent gaps often point to pricing, merchandising, or review-quality issues.
- Review bedroom mix, rental-type mix, and annual availability on the market page to spot where your unit differs from the city average.
- Include regulatory factors such as ordinances, registration rules, and caps on non-owner-occupied units where relevant. (airdna.co)
As you narrow targets, model city-level revenue against expected costs such as rent or mortgage, utilities, cleaning, management, and taxes to test margin potential.
Operational Strategies in High- and Mid-Demand Cities
After benchmarking ADR, occupancy, and RevPAR, align operations and pricing to local demand.
In high-demand cities such as Charleston, San Diego, Nashville, Honolulu, Savannah, New York, and San Francisco:
- Use dynamic pricing aggressively for events, holidays, and compression periods.
- Tighten minimum stays during top-demand weeks to avoid low-value gaps.
- Maintain compliance and keep calendar discipline high, because premium markets punish sloppy operations more quickly. (airdna.co)
In emerging and secondary cities such as Phoenix, Raleigh, Charlotte, Columbus, Indianapolis, Kansas City, Boise, and Oklahoma City:
- Differentiate with consistency, strong reviews, and clean positioning.
- Test mid-term demand during slower periods.
- Watch how small ADR changes affect occupancy, because modest pricing moves can materially impact RevPAR in middle-tier markets. (airdna.co)
Across markets, outperforming averages usually comes from city-specific pricing, calendar controls, and stay rules, not national defaults.
Using a Vacation Rental Management Platform
A vacation rental management platform helps translate city-level statistics into repeatable daily execution. Key benefits include:
- Centralized calendar and messaging across Airbnb and other OTAs
- Dynamic pricing tools or integrations to adjust rates and minimum stays by city, season, and events
- Reporting dashboards for ADR, occupancy, RevPAR, and revenue at unit and portfolio levels
- Templates for guest communication aligned to local rules and guest expectations
Codifying city-specific workflows makes it easier to scale listings while staying aligned with local benchmarks.
Turning City Insights Into a Growth Engine
City-level Airbnb statistics work best as a loop:
- Benchmark ADR, occupancy, RevPAR, and revenue
- Adjust pricing, stay rules, and channel mix
- Measure results versus prior performance and city averages
- Refine and repeat
Instead of chasing hype, use data sources like AirDNA to choose cities that match your strategy, then rely on execution to beat the baseline. (airdna.co)
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