How much does an Airbnb cost per night in San Francisco, CA, and how full is it? $401 a night (middle half $262 to $782), 59.6% of December open, 29.4% estimated occupancy
San Francisco's December calendar was among the least open of the 34 US regions in UpRev's September 2026 benchmark: 59.6% of December nights at its bookable entire homes were still open to book, the 2nd lowest share, against a median of 74.1%. The median near-term quote was $401 a night, against a 34-region median of $272.
By UpRev, from Inside Airbnb's snapshot of 14 September 2026, collected the same day: 7,405 listings.
Data as of 14 September 2026, collected 14 September 2026. Part of UpRev's Airbnb Market Data, a quarterly read of Inside Airbnb's public data.
Airbnb Market Data / San Francisco, CA Airbnb Market Data
What stands out in San Francisco?
San Francisco's largest departure from the 34-region median is December: when Inside Airbnb collected it on 14 September 2026, 59.6% of its December nights were open to book. October was 36.5% open. A night that is not open may be booked or blocked by the host, and San Francisco's calendar does not say which.
- San Francisco's hosts discount less than any other region's: 14.0% of its near-term quotes carried a host discount, the lowest of the 34 (median 24.0%).
- 41.3% of its bookable homes ask for a minimum stay of 30 nights or more (34-region median 15.7%), and 977 of its 3,231 bookable homes had a near-term quote.
- Inside Airbnb sets a 5.5-night average stay for San Francisco; with it, the estimated occupancy since 1 July was 29.4%, beside a 34-region median of 29.3%.
What is the listed nightly price of an Airbnb in San Francisco?
The listed nightly price is the asking price of a near-term stay at a bookable entire home, net of host discounts and before taxes and fees: what a guest was quoted, not what a guest paid.
UpRev's count puts the median near-term quoted price of a bookable entire home at $401 a night; the middle half of quotes ran from $262 to $782, and the top tenth started at $1,573. By size, the median runs from $300 for studios to $1,189 for homes with 4 or more bedrooms. 1-bedroom homes are the largest group, 41.8% of its 3,231 bookable homes, and 14.0% of its near-term quotes carried a host discount.
| Bedrooms (of 3,231 homes) | Bookable homes | Share of homes | Homes with a near-term quote | Quotes with a discount | 25th percentile | Median | 75th percentile | 90th percentile |
|---|---|---|---|---|---|---|---|---|
| Studio | 407 | 12.6% | 176 | 11.4% | $247 | $300 | $554 | $1,098 |
| 1 | 1,350 | 41.8% | 377 | 17.5% | $240 | $326 | $513 | $1,635 |
| 2 | 805 | 24.9% | 229 | 10.9% | $289 | $428 | $702 | $1,130 |
| 3 | 460 | 14.2% | 136 | 12.5% | $492 | $689 | $1,089 | $1,636 |
| 4+ | 207 | 6.4% | 58 | 15.5% | $676 | $1,189 | $1,981 | $3,524 |
| All | 3,231 | 100.0% | 977 | 14.0% | $262 | $401 | $782 | $1,573 |
3,231 bookable entire homes, 977 with a near-term quote; the percentiles are of that quote's nightly price, net of host discounts and before the quote's tax and fee lines; the All row also counts fewer than 10 homes with no bedroom count, fewer than 10 of them with a near-term quote; snapshot of 14 September 2026, collected the same day.
Source: Inside Airbnb (https://insideairbnb.com), licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Aggregated and summarised by UpRev; the figures are UpRev's, not Inside Airbnb's.
How many nights are still open to book in San Francisco?
Open nights are the calendar nights a host still offers to book, as Inside Airbnb collected them. A night that is not open may be booked or blocked by the host, and the calendar does not say which, so a low share open is not proof of demand on its own.
As Inside Airbnb collected it on 14 September 2026, UpRev counts 36.5% of October nights at its bookable homes still open to book, 53.4% of November nights and 59.6% of December nights; a night that is not open may be booked or blocked by the host, and the file does not say which. For December, studios had the most nights open (60.9%) and 3-bedroom homes the fewest (55.5%).
| Bedrooms (of 3,231 homes) | October nights open | November nights open | December nights open |
|---|---|---|---|
| Studio | 49.2% | 64.3% | 60.9% |
| 1 | 35.3% | 52.4% | 60.0% |
| 2 | 34.1% | 52.7% | 60.4% |
| 3 | 32.6% | 47.5% | 55.5% |
| 4+ | 37.2% | 54.8% | 60.0% |
| All | 36.5% | 53.4% | 59.6% |
Share of calendar nights open to book at the 3,231 bookable homes, by month ahead, as collected; snapshot of 14 September 2026, collected the same day.
Source: Inside Airbnb (https://insideairbnb.com), licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Aggregated and summarised by UpRev; the figures are UpRev's, not Inside Airbnb's.
What is the estimated occupancy of an Airbnb in San Francisco?
Estimated occupancy is Inside Airbnb's own review-based model, run by UpRev with each region's average stay. It is an estimate built from reviews, not a count of bookings, and it reads low because a review follows check-out.
Inside Airbnb's review-based model, run by UpRev with the 5.5-night average stay Inside Airbnb sets for the region, gives its bookable homes an estimated occupancy of 29.4% on average over the 75 nights from 1 July to 13 September 2026; the median home sat at 14.7%, 33.8% of homes reached the model's 70% cap, and because reviews follow check-out the figure reads low. By size, 1-bedroom homes had the highest estimated occupancy (32.3%) and studios the lowest (21.5%).
| Bedrooms (of 3,231 homes) | Bookable homes | Reviews in the window | Estimated occupancy, mean | Estimated occupancy, median | Homes at the 70% cap |
|---|---|---|---|---|---|
| Studio | 407 | 593 | 21.5% | 0.0% | 25.3% |
| 1 | 1,350 | 3,526 | 32.3% | 14.7% | 38.6% |
| 2 | 805 | 2,058 | 30.4% | 14.7% | 34.9% |
| 3 | 460 | 1,230 | 29.6% | 14.7% | 31.5% |
| 4+ | 207 | 342 | 21.6% | 0.0% | 19.3% |
| All | 3,231 | 7,750 | 29.4% | 14.7% | 33.8% |
Estimated occupancy of the 3,231 bookable homes, 1 July to 13 September 2026 (75 nights): each review in the window counts as two stays of 5.5 nights, or of the listing's minimum stay if longer, capped at 70%; an estimate, not counted bookings; snapshot of 14 September 2026, collected the same day.
Source: Inside Airbnb (https://insideairbnb.com), licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Aggregated and summarised by UpRev; the figures are UpRev's, not Inside Airbnb's.
Who runs San Francisco's short-term rentals, and on what terms?
Inside Airbnb's snapshot holds 7,405 listings, 59.5% of them entire homes, and UpRev counts 3,231 of those as bookable. 50.4% of these bookable homes are run by hosts with two or more listings in the region; the median minimum stay is 3 nights, 41.3% ask for a minimum stay of 30 nights or more, and 72.1% were reviewed in the last 12 months.
| Snapshot of 14 September 2026 | All listings | Entire homes | Entire-home share | Bookable entire homes | Run by hosts with 2+ listings | Median minimum stay (nights) | Minimum stay of 30 nights or more | Reviewed in the last 12 months |
|---|---|---|---|---|---|---|---|---|
| collected 14 September 2026 | 7,405 | 4,408 | 59.5% | 3,231 | 50.4% | 3 | 41.3% | 72.1% |
All 7,405 listings in the snapshot; the shares after the bookable count are of the 3,231 bookable homes, and a host's listing count is the region's own; snapshot of 14 September 2026, collected the same day.
Source: Inside Airbnb (https://insideairbnb.com), licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Aggregated and summarised by UpRev; the figures are UpRev's, not Inside Airbnb's.
How does San Francisco compare with the 34 short-term rental (STR) markets in the data?
UpRev's benchmark sets the region's 3,231 bookable homes beside the median of the 34 US regions Inside Airbnb covers, each read from its own snapshot of 14-30 September 2026; the regions' calendars were read on different days, so the shares of nights open compare calendars at different distances from each month.
| Measure (of 3,231 homes) | Value | Homes | Median of the regions | Lowest region | Highest region | Regions |
|---|---|---|---|---|---|---|
| Median near-term quoted nightly price | $401 | 977 | $272 | $185 | $663 | 34 |
| Quotes with a host discount | 14.0% | 977 | 24.0% | 14.0% | 40.0% | 34 |
| October nights open | 36.5% | 3,231 | 51.2% | 29.7% | 69.4% | 34 |
| December nights open | 59.6% | 3,231 | 74.1% | 55.5% | 82.3% | 34 |
| Estimated occupancy since 1 July, mean | 29.4% | 3,231 | 29.3% | 15.0% | 40.3% | 34 |
| Studios, share of bookable homes | 12.6% | 3,231 | 5.3% | 1.7% | 17.8% | 31 |
| Homes with 4+ bedrooms, share | 6.4% | 3,231 | 12.9% | 3.7% | 29.9% | 34 |
| Entire homes, share of all listings | 59.5% | 7,405 | 77.4% | 50.7% | 91.0% | 34 |
| Run by hosts with 2+ listings | 50.4% | 3,231 | 62.0% | 41.9% | 83.2% | 34 |
| Minimum stay of 30 nights or more | 41.3% | 3,231 | 15.7% | 3.6% | 85.9% | 34 |
| Median minimum stay (nights) | 3 | 3,231 | 2 | 1 | 30 | 34 |
| Change in bookable homes since June | -8.0% | 3,513 | -2.3% | -12.4% | 3.7% | 34 |
The region's value against the median, lowest and highest of the regions, each region from its latest snapshot (14-30 September 2026); Homes: the 3,231 bookable homes, or for the price and discount rows the 977 with a near-term quote, or for the entire-home share all listings, or for the change in bookable homes the June count; Regions counts the regions with a value; snapshot of 14 September 2026, collected the same day.
Source: Inside Airbnb (https://insideairbnb.com), licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Aggregated and summarised by UpRev; the figures are UpRev's, not Inside Airbnb's.
What changed in San Francisco since the snapshot before?
Between Inside Airbnb's snapshots of 14 June 2026 and 14 September 2026, UpRev counts bookable entire homes going from 3,513 to 3,231 (-8.0%) and the median near-term quoted price from $466 to $401 (-$65, -13.9%); the June quotes were for stays checking in during June, so the price change crosses seasons: two snapshots, not a trend; the June file leaves most studios without a bedroom count, so June has no studio figure.
| Measure | June snapshot (3,513 homes) | September snapshot (3,231 homes) | Change | Change, relative |
|---|---|---|---|---|
| Median near-term quoted nightly price (977 quotes in September) | $466 | $401 | -$65 | -13.9% |
| Bookable entire homes | 3,513 | 3,231 | -282 | -8.0% |
| Run by hosts with 2+ listings | 50.1% | 50.4% | 0.3 pts | - |
| Median minimum stay (nights, 3,231 homes in September) | 3 | 3 | 0 | - |
| Minimum stay of 30 nights or more | 42.7% | 41.3% | -1.4 pts | - |
| Estimated occupancy, mean | 27.3% | 29.4% | 2.1 pts | - |
The June snapshot of 14 June 2026 (collected 14-22 June 2026, 3,513 bookable homes, estimated occupancy window 1 April to 13 June 2026) against the September one; changes in shares are from the exact values: see the method page; snapshot of 14 September 2026, collected the same day.
Source: Inside Airbnb (https://insideairbnb.com), licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Aggregated and summarised by UpRev; the figures are UpRev's, not Inside Airbnb's.
How does UpRev count San Francisco?
Bookable entire homes, 3,231 of them, from Inside Airbnb's snapshot of 14 September 2026, collected the same day. Estimated occupancy uses the 5.5-night average stay Inside Airbnb sets for the region, with which the model reproduces Inside Airbnb's own per-listing estimate on 7,405 of 7,405 listings in this snapshot and 7,332 of 7,332 in its June snapshot of 14 June 2026; every bedroom class has the 30 near-term quotes a price percentile needs, of 977 in all. How we count: see the method page.
Can I download the data?
Every table on this page comes from these files, one row per snapshot, bedroom class and measure, each row carrying the source line. They are free to reuse under the same licence, with that credit line. The files hold every snapshot from 14 June 2026 to 14 September 2026.
- availability.csv: nights open to book, by month ahead and bedrooms
- estimated_occupancy.csv: estimated occupancy, by bedrooms
- prices.csv: listed nightly price percentiles and host discounts, by bedrooms
- qoq.csv: the change between snapshots, measure by measure
- supply.csv: listings, entire homes, hosts and minimum stays
Source and licence
Source: Inside Airbnb (https://insideairbnb.com), licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Aggregated and summarised by UpRev; the figures are UpRev's, not Inside Airbnb's.
How does San Francisco compare with a market like it?
- San Francisco vs San Diego
- San Francisco vs Los Angeles
- San Francisco vs Seattle
- San Francisco vs Oakland