Short-term rental markets, measured
Legality by city, honest revenue math with sample sizes, weekly movers, and the financing questions no data company answers. Every post shows its work.
Minimum-night rules and the next 30 days
On 29,000 entire homes, a one-night minimum and a three-night minimum show the same share of the coming month already taken. Longer rules are too thin in the data to call. A null result, with the sample.
The professional-host takeover, by market
Across 483,048 active entire-home and room listings in our dataset, 54% belong to hosts running three or more, and 33% to hosts running ten or more. Here is where the professionals hold the supply, and where the single-listing host still does.
What a short-term rental permit actually costs in 40 cities
The permit and registration fees 40 cities publish for short-term rentals, quoted as written in each ordinance or fee schedule, with the source beside every figure.
Nightly rate versus revenue: why the priciest markets are rarely the best-earning
Across 220 metros with a served revenue figure, the rank correlation between median nightly rate and median annual revenue is 0.83. Only 6 of the fifteen highest-rate markets are among the fifteen highest-earning.
Where the fewest listings match a permit
All 41 sub-markets where we hold a usable permit registry and at least 200 entire-home listings, ranked by the share of listings that match a permit, from 11% in St. Petersburg to 94% in Nashville.
How we match permits to listings
The rule that links a public short-term rental registry to a listing, the numbers it produces today across 120 usable registries, and the false zeros we caught in our own data this week.
When we refuse to show a number
Indio, California served a $417,000 median revenue built from two houses. Here is the gate that stopped it, what it withheld across the country, and why a blank beats a wrong figure.
Why the number you see on AirDNA is too high
The one peer-reviewed measurement of vendor short-term rental data found occupancy overstated by 60% and revenue per available night by 179%. The cause is definitional, and here is how we define ours.
How we count
The definitions behind every DwellSignal number, what measured and modeled mean on a page, and where a figure is withheld rather than guessed.