A reference of 21 statistics on how often short-term rentals turn over: turnovers per month and per year for the typical listing, how many listings sit near zero or run at six or more a month, the month-by-month seasonal curve, and a full table for 34 US markets from Portland to Hawaii. Every figure is computed by RapidEye Research from the public Inside Airbnb (insideairbnb.com) data released in September 2026, using Inside Airbnb's own method for turning reviews into stays, and the method and its limits are shown below.
Key statistics
6 highlights from this report
Key statistics
Key takeaways
A typical short-term rental turns over about 2.8 times a month, but the spread is wide: a fifth of active listings turn over less than once a month and another fifth six or more times. The calendar matters too. Winter is the low point almost everywhere, while the peak moves from summer to October or March depending on the market.
The median short-term rental gets about 2.8 turnovers a month, or 34 a year.
February is the slowest month (2.9 turnovers per listing) and July the busiest (4.2), 42% more.
In 30 of 34 markets, the slowest month falls in December, January or February.
Only 14 of 34 markets have their busiest month in summer. Six peak in October.
Rhode Island swings 5.5x, from 1.0 turnover per listing in February to 5.3 in August.
Portland leads with a median of 4.5 turnovers a month. Hawaii and Santa Clara County have 1.5.
How we built this report
Every figure on this page was computed in November 2026 from the Inside Airbnb data released for 34 US markets between September 14 and 30, 2026.
- Downloaded every US market
For each of the 34 US markets Inside Airbnb publishes, we took the listing summary and the date of every review.
- Kept established short-term listings
We kept listings with a stated minimum stay under 30 nights (listings with no minimum stay given were left out) that had a review before September 2025 and at least one review between September 1, 2025 and August 31, 2026: 110,439 listings and 2,472,000 reviews. Requiring a review before the window keeps listings that went live mid-year from dragging the averages down.
- Converted reviews to turnovers
We counted each listing's reviews per month and divided by 50%, the review rate Inside Airbnb uses to turn reviews into stays. Every stay ends in a checkout, so stays and turnovers are the same count.
- Independent review
Written by one co-founder and reviewed by the other; a second analyst recomputed the headline figures from the raw files before publishing.
What these numbers are and are not: they are estimates built from Airbnb reviews, not booking records. Not every guest leaves a review, so the 50% rate is an assumption, and we show what the headline becomes at other rates. Listings removed before September 2026 are not in the data, which leaves out some that stopped getting bookings, so the true figures may be slightly lower. Bookings made through Vrbo or direct channels are not counted. Reviews are dated when they are written, after checkout, so a few stays from the end of one month land in the next. The same review rate is applied everywhere, though the true rate may differ by market, season and type of listing.
Short-term rental turnovers, by the numbers
All 21 figures, grouped by theme. Numbers marked Computed are RapidEye Research analysis of Inside Airbnb data; the method figure marked Verified is quoted from Inside Airbnb.
Turnovers per month, nationally
Across the 34 markets, the typical active listing turns over a little under three times a month. The average sits higher than the median because a busy minority of listings turn over far more often than the rest. The first number to keep in mind is the median; the second is how wide the spread is.
Statistic 1
The median active short-term rental had about 2.8 turnovers a month, or 34 a year.
RapidEye Research analysis of Inside Airbnb data, Sep 2025 to Aug 2026
Statistic 2
If 72% of guests leave a review, the median is 2.0 turnovers a month (24 a year); if 30.5% do, it is 4.6 (56 a year).
RapidEye Research analysis of Inside Airbnb data
Statistic 3
The average active listing had 3.7 turnovers a month, a third more than the median.
RapidEye Research analysis of Inside Airbnb data
Statistic 4
The middle half of active listings had between 1.0 and 5.3 turnovers a month.
RapidEye Research analysis of Inside Airbnb data
Statistic 5
Entire homes had a median of 3.0 turnovers a month; private rooms had 2.2.
RapidEye Research analysis of Inside Airbnb data
Statistic 6
22.8% of active listings had fewer than one turnover a month, and 20.5% had six or more.
RapidEye Research analysis of Inside Airbnb data
Statistic 7
Inside Airbnb converts reviews to stays at a 50% review rate, chosen because it sits between the 72% and 30.5% rates used in other studies.
Inside Airbnb, data assumptions
Share of active listings by turnovers per month
110,439 listings in 34 US markets, Sep 2025 to Aug 2026
Estimated turnovers per month at Inside Airbnb's 50% review rate. Each band includes its lower bound.
What this means: a single "turnovers per year" benchmark hides how uneven listings are. For staffing and pricing a cleaning contract, the market median and the busy quarter of listings are more useful than one national average. How long each of those turnovers takes is covered in our turnover time statistics.
The seasonal curve
Pooling all 34 markets, turnovers per listing bottom out from December through February, climb in March and stay high through October before falling in November. The peak is broad rather than sharp: May through August are within a few percent of each other.
Statistic 8
February is the slowest month, at 2.9 turnovers per listing on average; July is the busiest at 4.2, 42% more.
RapidEye Research analysis of Inside Airbnb data
Statistic 9
In 30 of 34 markets, the slowest month falls in December, January or February.
RapidEye Research analysis of Inside Airbnb data
Statistic 10
Only 14 of 34 markets peak in June, July or August; 6 peak in October and 4 in March.
RapidEye Research analysis of Inside Airbnb data
Statistic 11
At these averages, a 100-listing portfolio would see about 415 turnovers in July and 290 in February.
RapidEye Research analysis of Inside Airbnb data
Average turnovers per listing, by month
All 34 markets pooled. January to August 2026; September to December 2025.
Average, not median, so monthly figures run above the 2.8 median. Estimated at Inside Airbnb's 50% review rate.
What this means: the gap between the slowest and busiest month is the number to plan cleaners and inspectors around. A team sized for February is about 30% short in July, and a team sized for July has slack all winter.
Busiest and quietest markets
Markets differ by three to one in how often a typical listing turns over. City markets lead; Hawaii and the Bay Area outside San Francisco trail.
Statistic 12
Portland had the highest median, 4.5 turnovers a month, followed by Chicago and Columbus at 4.2.
RapidEye Research analysis of Inside Airbnb data
Statistic 13
Santa Clara County and Hawaii had the lowest median, 1.5 a month, then Oakland at 1.8.
RapidEye Research analysis of Inside Airbnb data
Statistic 14
Leisure markets ranged from 3.0 to 3.8 a month: Nashville 3.8, Asheville 3.2, Bozeman and Santa Cruz County 3.0.
RapidEye Research analysis of Inside Airbnb data
Statistic 15
Las Vegas (Clark County) and Broward County (Fort Lauderdale) both had a median of 2.3.
RapidEye Research analysis of Inside Airbnb data
What this means: a market's median says how often each home turns over, not how much work a team has there. Hawaii ties for the lowest median and, at 18,231 active listings, is the largest market in the data.
Seasonal swings by market
The national curve flattens very different local calendars. Rhode Island swings hardest, Fort Lauderdale and New Orleans run opposite to the summer pattern, and Dallas, Fort Worth, Los Angeles and Hawaii barely move.
Statistic 16
Rhode Island averaged 5.3 turnovers per listing in August and 1.0 in February, a 5.5x swing, the largest of the 34 markets.
RapidEye Research analysis of Inside Airbnb data
Statistic 17
Chicago (6.7 in August against 2.2 in February) and Boston (6.2 in October against 2.0 in February) each swing about 3x.
RapidEye Research analysis of Inside Airbnb data
Statistic 18
Broward County and New Orleans both peak in March and bottom out in September.
RapidEye Research analysis of Inside Airbnb data
Statistic 19
Hawaii has the flattest year, a 1.3x swing, and is the only market whose busiest month is January.
RapidEye Research analysis of Inside Airbnb data
Statistic 20
Dallas, Fort Worth and Los Angeles swing only about 1.4x between their busiest and slowest months.
RapidEye Research analysis of Inside Airbnb data
Statistic 21
Las Vegas is the only market whose slowest month is June, at 2.6 turnovers per listing.
RapidEye Research analysis of Inside Airbnb data
What this means: a cleaning or inspection team that covers several markets can smooth its year by pairing a summer market with a March or October one. A team in a single high-swing market has to plan for a busy season several times its slowest month.
All 34 markets
The full table behind this page, sorted by median turnovers per month. The busiest and slowest month columns are averages per listing, so they can sit above the median.
| Market | Listings analyzed | Median per month | Middle half | Busiest month (avg) | Slowest month (avg) | Swing |
|---|---|---|---|---|---|---|
| Portland | 1,968 | 4.5 | 2.3 to 7.5 | Aug 7.0 | Feb 3.6 | 2.0x |
| New York City * | 3,307 | 4.3 | 2.2 to 7.0 | Sep 6.6 | Feb 3.7 | 1.8x |
| Chicago | 3,969 | 4.2 | 2.2 to 6.3 | Aug 6.7 | Feb 2.2 | 3.0x |
| Columbus | 1,296 | 4.2 | 2.0 to 6.8 | May 6.2 | Feb 3.6 | 1.7x |
| Nashville | 5,402 | 3.8 | 1.7 to 6.3 | Oct 5.6 | Jan 3.1 | 1.8x |
| Seattle | 3,630 | 3.8 | 1.8 to 6.2 | Aug 6.4 | Feb 2.7 | 2.4x |
| New Orleans | 2,939 | 3.7 | 1.8 to 5.7 | Mar 5.8 | Sep 3.3 | 1.8x |
| San Diego | 6,321 | 3.7 | 1.8 to 6.2 | Jul 5.6 | Dec 3.1 | 1.8x |
| Los Angeles | 11,784 | 3.5 | 1.3 to 6.0 | Jun 4.8 | Dec 3.4 | 1.4x |
| Washington, DC | 2,940 | 3.5 | 1.5 to 6.0 | Apr 5.6 | Jan 2.5 | 2.3x |
| Boston | 1,809 | 3.3 | 1.0 to 6.0 | Oct 6.2 | Feb 2.0 | 3.1x |
| Fort Worth | 858 | 3.3 | 1.2 to 5.8 | Mar 4.8 | Feb 3.4 | 1.4x |
| Asheville | 1,836 | 3.2 | 1.3 to 6.2 | Oct 6.0 | Feb 2.7 | 2.2x |
| Salem, OR | 138 | 3.1 | 0.8 to 5.9 | Jun 5.9 | Jan 2.7 | 2.2x |
| Bozeman | 370 | 3.0 | 1.3 to 5.7 | Sep 6.0 | Jan 2.5 | 2.5x |
| Cambridge | 581 | 3.0 | 1.2 to 5.9 | Oct 5.9 | Feb 2.0 | 3.0x |
| Dallas | 2,644 | 3.0 | 1.0 to 5.7 | Oct 4.6 | Feb 3.3 | 1.4x |
| Pacific Grove | 121 | 3.0 | 1.2 to 5.3 | Jul 5.2 | Dec 2.5 | 2.1x |
| Santa Cruz County | 1,082 | 3.0 | 1.2 to 6.0 | Jul 5.7 | Dec 2.6 | 2.2x |
| Denver | 2,306 | 2.8 | 0.8 to 5.5 | Sep 5.1 | Feb 2.3 | 2.2x |
| Jersey City | 933 | 2.8 | 0.7 to 5.4 | Sep 4.2 | Feb 1.9 | 2.2x |
| Newark | 829 | 2.8 | 0.8 to 5.0 | Sep 4.8 | Feb 1.9 | 2.5x |
| San Francisco | 2,429 | 2.8 | 1.0 to 6.2 | Jun 5.1 | Dec 3.0 | 1.7x |
| Austin | 5,253 | 2.7 | 1.0 to 5.0 | Mar 4.5 | Jan 2.6 | 1.8x |
| San Mateo County | 1,524 | 2.7 | 1.0 to 5.7 | May 4.3 | Dec 2.8 | 1.5x |
| Rochester | 505 | 2.5 | 0.8 to 4.8 | Aug 4.4 | Jan 1.8 | 2.4x |
| Broward County (Fort Lauderdale) | 7,952 | 2.3 | 0.8 to 4.3 | Mar 4.3 | Sep 2.2 | 2.0x |
| Las Vegas (Clark County) | 6,813 | 2.3 | 0.7 to 4.8 | May 4.1 | Jun 2.6 | 1.6x |
| Minneapolis-St. Paul | 3,119 | 2.3 | 1.0 to 4.7 | Aug 4.8 | Feb 1.8 | 2.6x |
| Albany | 266 | 2.1 | 0.7 to 4.5 | Oct 4.2 | Jan 2.2 | 1.9x |
| Rhode Island (statewide) | 3,400 | 1.9 | 0.8 to 3.8 | Aug 5.3 | Feb 1.0 | 5.5x |
| Oakland | 1,054 | 1.8 | 0.7 to 4.2 | Aug 3.5 | Dec 2.2 | 1.6x |
| Hawaii (statewide) | 18,231 | 1.5 | 0.5 to 3.7 | Jan 2.8 | Nov 2.2 | 1.3x |
| Santa Clara County (San Jose) | 2,830 | 1.5 | 0.7 to 3.7 | Jun 3.0 | Dec 2.0 | 1.5x |
RapidEye Research analysis of Inside Airbnb data released September 14 to 30, 2026. Listings with a minimum stay under 30 nights, reviewed before September 2025 and at least once from September 2025 to August 2026. Turnovers estimated at a 50% review rate. Swing is the busiest month's average divided by the slowest month's, computed before rounding. * New York City’s Local Law 18 requires short-term rental hosts to register with the city, and only 3,194 units held an active registration in January 2026 (see our short-term rental market statistics), so read its row with care: many listings in it may not be registered. Salem and Pacific Grove have fewer than 150 listings each.
Cite this study
Academic or press use: copy a ready-made reference. RapidEye is the publisher.
Quick FAQ
How many turnovers does an Airbnb get per month?
About 2.8 at the median. Across 110,439 active short-term rental listings in 34 US markets, the median listing collected enough reviews between September 2025 and August 2026 for an estimated 2.8 stays, and so 2.8 turnovers, a month. The middle half of listings ran between 1.0 and 5.3 a month. The estimate assumes half of stays leave a review, Inside Airbnb's standard assumption; at review rates of 72% and 30.5% the median would be 2.0 and 4.6.
How many turnovers does a vacation rental have per year?
About 34 for the median active listing, or roughly 24 to 56 depending on what share of guests leave a review. The busiest quarter of listings did 64 or more a year (5.3 or more a month), and 22.8% of active listings did fewer than 12.
What is the slowest month for vacation rental turnovers?
February nationally, at an average of 2.9 turnovers per listing, against 4.2 in July. In 30 of the 34 markets we measured, the slowest month fell in December, January or February. The exceptions were Broward County and New Orleans (September), Hawaii (November) and Las Vegas (June).
What is the busiest month for Airbnb turnovers?
July nationally, but by a small margin over May, June and August. Only 14 of 34 markets peaked in June, July or August. Six peaked in October (including Nashville, Asheville and Boston), four in March (including New Orleans, Austin and Broward County) and Hawaii peaked in January.
Which US market has the most turnovers per listing?
Portland, at a median of 4.5 turnovers a month, followed by Chicago and Columbus at 4.2. Hawaii and Santa Clara County (1.5) and Oakland (1.8) had the fewest.
How do you estimate turnovers from Airbnb reviews?
Count the reviews a listing received in a period and divide by the share of stays that leave a review. Inside Airbnb uses a 50% review rate, chosen because it sits between the 72% and 30.5% rates used in other studies. Each stay ends in a checkout, so estimated stays and turnovers are the same count.
Data sources
Every figure traces to these public sources, checked against the original before publishing. Inside Airbnb data is published under a Creative Commons Attribution 4.0 license.
Inside AirbnbListing summaries and review dates for 34 US markets, September 2026 releaseinsideairbnb.comInside AirbnbOccupancy model and review rate assumptionsinsideairbnb.com