How much to charge for an Airbnb in Austin
If you are setting a nightly rate in Austin by looking at three listings down the street, you are sampling a market of 11,295. Here is the whole distribution, from the June 2026 Inside Airbnb snapshot.
Start with the city median, then stop using it
The median Austin listing asks $217 a night. That single number is the most quoted and least useful figure about this market, because the spread around it is enormous: the 25th percentile is $133 and the 75th is $363. Half of all listings fall outside that band entirely.
Two things drive almost all of that spread, and neither one is how nice your place is: how many bedrooms it has, and where it is.
Bedroom bands
This is the number to price from. It covers entire places only — including private rooms would drag the one-bedroom band down by a third and give you a target no whole unit should aim at.
| Size | 25th pct | Median | 75th pct | Listings |
|---|---|---|---|---|
| 1 bedroom | $121 | $163 | $213 | 2,550 |
| 2 bedrooms | $157 | $220 | $300 | 2,152 |
| 3 bedrooms | $223 | $306 | $430 | 1,631 |
| 4+ bedrooms | $366 | $540 | $893 | 1,693 |
Listings without a stated bedroom count are excluded, which is why these counts don't add up to the city total.
The jump from 1 bedroom to 4+ bedrooms is from a median of $163 to $540. If you have a spare room you have been using as an office, that gap is the argument for converting it.
Then adjust for ZIP code
Inside Airbnb reports Austin by ZIP code rather than by neighborhood name, which is inconvenient to read and unusually useful to price against — a ZIP is exactly the unit a guest filters by on a map. The spread is the story: 78701 runs +34.2% against the city median while 78744 runs -32.3%. Same city, same month, and a spread far larger than anything you can change about the inside of your unit.
| ZIP code | Median | vs city | Listings |
|---|---|---|---|
| 78704 | $236 | +8.9% | 1,684 |
| 78702 | $265 | +22.3% | 1,210 |
| 78701 | $291 | +34.2% | 1,147 |
| 78745 | $195 | -10.1% | 645 |
| 78741 | $186 | -14.3% | 541 |
| 78703 | $206 | -5.3% | 444 |
| 78705 | $171 | -21.2% | 397 |
| 78744 | $147 | -32.3% | 381 |
Inside Airbnb publishes Austin geography as 5-digit ZIP codes. Areas with fewer than 30 priced listings are left out — the median stops meaning anything below that.
A three-step way to set your rate
- Take the median for your bedroom count from the first table.
- Apply your ZIP code's percentage from the second table.
- Move within the 25th–75th band based on what a guest can see: photo quality, review count, and whether you can claim anything on the differentiator list.
That gives you a defensible starting rate. It does not give you a revenue forecast — these are asking prices, not bookings. Nothing in this dataset says how many nights sold.
What reviews do to your ceiling
A listing at the 75th percentile with 17 reviews and a listing at the 75th percentile with 157 reviews are not selling the same product. 16.5% of Austin listings have no reviews at all, which is both the size of the problem and the size of the opening.
| Measure | Value | What it means for you |
|---|---|---|
| Listings with zero reviews | 16.5% | 1,859 listings competing with no social proof at all |
| Median review count | 17 | Half the market is below this |
| 75th percentile | 64 | Clearing this puts you in the top quarter |
| 90th percentile | 157 | The established operators |
| Median rating | 4.93 | Among the 9,436 listings that have one |
| Rated 4.9 or higher | 58.3% | Of rated listings — this is the bar, not 4.5 |
| Rated 4.5 or higher | 93.4% | Below 4.5 you are in the bottom decile |
- Source
- Inside Airbnb — public data export, Austin, TX snapshot dated 2026-06-22.
- Sample
- 11,295 listings. A nightly rate is published for 10,321 of them (91.4%); the rest are blank in the source and are excluded from every price figure on this page.
- What the price is
- The base nightly rate as listed, in US dollars, with no conversion applied. It excludes cleaning fees, service fees and taxes, and it is an asking price — not a booked rate, and not revenue.
- Method
- Percentiles are computed by linear interpolation over the sorted sample. Medians are used throughout instead of averages because the tail is extreme enough to make an average meaningless. Every figure on this page is recomputed from the source file at build time by scripts/market_stats_en.py — none of them is typed by hand.