What Is a Good Airbnb Occupancy Rate? (2026 Benchmarks)

Every host asks the same question after the first slow month: what is a good Airbnb occupancy rate, and am I below it? The honest answer is that the number you are looking for does not exist as a single figure, and chasing someone else's average is how profitable listings get talked into bad decisions. What does exist is a way to work out the right target for your own listing, in your own market, at your own price. This guide gives you that, plus the arithmetic behind it and the three cases where a lower occupancy rate is the better business.

What is a good Airbnb occupancy rate?

Short answer: a good occupancy rate is the one that maximises revenue at the price you charge, not the one that fills the most nights. For most whole-home listings that lands somewhere between the high forties and the low seventies, but the range is so wide that the midpoint is useless as a target. A listing at 45 percent occupancy and a high nightly rate can out-earn the same listing at 75 percent and a discount rate.

The reason the question is hard is that occupancy is a ratio, not an outcome. You can move it in either direction on purpose. Drop your price twenty percent tomorrow and your occupancy will rise; that does not mean the listing got better. This is why the first useful step is not finding a benchmark but deciding what you are optimising for.

• Maximum revenue: the goal for most hosts, and the one where occupancy is a means, not a target
• Maximum profit: fewer, longer stays, because every turnover costs a clean and a risk
• Maximum flexibility: lower occupancy on purpose, keeping dates open for your own use

What is the average Airbnb occupancy rate?

It is worth knowing where the platform itself stops. Airbnb reports your own performance to you inside the host tools and publishes no public occupancy benchmark by market at all — general platform information for hosts lives in the Airbnb Help Center. Every market average you have read came from somebody modelling it from the outside.

We are not going to print a single national number here, and it is worth saying why plainly. The average Airbnb occupancy rate published in one place and another rarely agrees, because each source defines the denominator differently: some count only nights you made available, others count every night in the calendar, and the two answers can differ by twenty points on the same listing. A figure you cannot reproduce is not a benchmark, it is a headline.

What is reliably true is the shape of the variation, and the shape is more useful than the average:

Read that table again with your own listing in mind. If you run a two-night-minimum cabin in a weekend market, an annual occupancy in the forties may be the ceiling of what the market allows, and comparing yourself to a city apartment is comparing two different products.

How to calculate your Airbnb occupancy rate

Divide booked nights by available nights and multiply by 100. That is the whole calculation, and the only decision inside it is what counts as available — every night on the calendar, or only the nights you actually offered. Both answers are legitimate; using them interchangeably across months is what makes your own trend line lie to you.

• Occupancy rate: booked nights divided by available nights, times 100
• Example: 18 booked nights in a 30-day month with all 30 nights open = 18 / 30 = 60 percent
• Same month, 10 nights blocked for yourself: 18 / 20 = 90 percent

In plain English: occupancy answers "of the nights I actually offered, how many sold?" If you block a week for your own holiday, those nights were never for sale, so leaving them in the denominator makes your listing look worse than it performed. Both numbers above are correct; they answer different questions. Pick one definition and use it every month, or your own trend line will lie to you.

The one to track for decisions is booked over available. The one to track for cash is booked over calendar, because your mortgage does not care that you blocked the dates.

What counts as a good occupancy rate for your listing

A good rate for your listing is whatever your own last twelve months and your nearest comparable listings say it is. Build the target from three observable things rather than a published average: your own history, the same month a year earlier, and the current fill rate of five listings a guest would consider instead of yours.

• Your own last twelve months: the only perfectly comparable listing is your own, one year ago
• Your season shape: compare August to last August, never August to February
• Your comp set: five listings within a short walk, same bedroom count, same rough standard, and check how many of their next sixty nights are already taken

Take a concrete number to make this real. Is 50 percent good? It depends entirely on your rate and your season: at a strong nightly rate in a weekend market, 50 percent can be an excellent year and close to the structural ceiling. At a discounted rate in a year-round city market, the same 50 percent says something is wrong with your placement or your availability settings. The figure carries no meaning on its own, which is why the comparison set matters more than the number.

That third one is free and takes fifteen minutes. Open the map for your own dates, look at genuinely comparable places, and count. It is rougher than a paid data feed and considerably more relevant, because it is your street rather than your metro area.

Where to find your own figures is covered in our guide to Airbnb analytics tools, which also explains the difference between the numbers Airbnb shows you and the market estimates sold by third parties.

Meet Rachel: two listings, 61 percent and 44 percent

Rachel runs two listings in the same town. All figures below are illustrative, and the arithmetic is the point.

• Listing A: 61 percent occupancy, $95 average nightly rate, 30-night month = 18.3 nights x $95 = $1,739
• Listing B: 44 percent occupancy, $180 average nightly rate, 30-night month = 13.2 nights x $180 = $2,376
• Difference: the listing with 17 points lower occupancy earns $637 more per month
• Turnovers: A ran 9 changeovers, B ran 4 — so B also paid for five fewer cleans

Before: Rachel was about to cut Listing B's price to "fix" its occupancy. After: she compared revenue instead of the ratio and left the price alone. Why it wins: occupancy is one of two factors in a multiplication, and moving it up by pushing the other one down is not an improvement.

This is the same trap as judging a co-host by how busy they look rather than by what lands in your account. It feels like activity, and activity is not the outcome.

Occupancy vs ADR vs RevPAR: the number to watch instead

There is one figure that folds both halves together, and it is the one to put on your own dashboard.

• ADR (average daily rate): total room revenue divided by nights sold
• Occupancy: nights sold divided by nights available
• RevPAR (revenue per available night): ADR multiplied by occupancy — or simply total revenue divided by available nights
• Rachel's Listing A: $95 x 0.61 = $57.95 per available night
• Rachel's Listing B: $180 x 0.44 = $79.20 per available night

One belief worth correcting while we are here: a fuller calendar does not, by itself, lift you in search results. Airbnb does not rank listings on occupancy. What feeds placement is the behaviour around bookings — how quickly you reply, how rarely you cancel, how recent your reviews are — and those things raise occupancy and placement at the same time, which is why the two look connected when they are not.

In plain English: RevPAR asks how much each night you offered actually earned, whether or not it sold. It is impossible to game by discounting, which is exactly why it is the honest number. If a change raises occupancy and lowers RevPAR, the change lost you money.

What is the average Airbnb vacancy rate?

The Airbnb vacancy rate is the same measurement wearing the opposite label: vacancy is 100 minus occupancy. A listing at 58 percent occupancy has a 42 percent vacancy rate, and the two numbers carry exactly the same information. The reason it is worth naming separately is that it changes what you notice.

• Occupancy framing: "I sold 17 nights" — you look at what worked
• Vacancy framing: "13 nights earned nothing" — you look at what the empty nights had in common
• The useful split: vacant nights inside a quiet week, versus vacant nights sitting between two bookings

In plain English: a quiet week is a demand problem and it is expensive to fix. A one-night hole between Sunday and Wednesday is a plumbing problem and it is nearly free to fix, because the guests either side already wanted to be in your town. Counting those two kinds of empty night separately is the single most useful thing you can do with a vacancy figure, and almost nobody does it.

There is no trustworthy national average vacancy rate for the same reason there is no trustworthy national occupancy rate — it is the same fraction, so it inherits the same problem with the denominator.

Does the market decide your ceiling?

Partly, and it is worth knowing which part. Some markets are structurally capable of running near-full all year and others are capped by the fact that nobody visits on a Tuesday — the five signals that tell them apart are in which Airbnb markets have the highest occupancy rates. If what you actually want is a figure for your own city or postcode, and an honest account of why published estimates disagree, that is covered in Airbnb occupancy rate by city and zip code.

Average daily rate and booking rate: the two numbers beside occupancy

Short answer: your average daily rate is total room revenue divided by nights sold, and your booking rate is how many enquiries turn into stays. Occupancy sits between them, and reading any one of the three alone is how hosts talk themselves into the wrong fix.

• Average daily rate falling, occupancy rising: you discounted, and the calendar is flattering you
• Booking rate falling, enquiries steady: a listing or pricing problem, not a demand one
• Both falling together: a visibility problem, and neither price nor copy will touch it

Myths about a good Airbnb occupancy rate

Myth: a higher occupancy rate always means more money.

Reality: occupancy multiplied by rate is the money. Rachel's example above moves the ratio the wrong way and the bank balance the right way. Judge a change by revenue per available night, never by the ratio alone.

Myth: a low occupancy rate means the listing is bad.

Reality: it can mean the minimum stay is long, the calendar is blocked, the market is seasonal, or the price is deliberately high. Four of those are decisions, not faults.

Myth: you should aim for one hundred percent.

Reality: a listing that never has an empty night is almost certainly underpriced. Full at the wrong price is the most expensive way to be busy.

Mistakes hosts make when they compare occupancy rates

• Comparing against a national average. Your competition is five listings on your street, not a country. The national figure includes ski chalets and city studios in the same mean.
• Changing the denominator mid-year. Blocking dates for personal use and then comparing to a month when nothing was blocked produces a fake decline. Fix the definition first, then read the trend.
• Reacting to a single slow month. Short-term rental demand is seasonal and lumpy; two data points are not a trend, and cutting price on the strength of one bad month usually resets your rate for the whole season.
• Ignoring the gap nights. Most listings lose more nights to one and two-night holes between bookings than to a lack of demand. That is a calendar problem, not a pricing problem, and it has its own fix.

What to do once you know your number

A benchmark is only worth the decision it changes. Once you know where you stand, three levers move occupancy without touching your nightly rate, and all three are jobs software can do continuously.

• Fill the gaps you already have. The one and two-night holes between existing bookings are nights you have already paid for. Our guide on filling Airbnb gap nights automatically covers the mechanics, and the numbers behind it are in gap-night revenue and occupancy.
• Answer faster. Response speed feeds where you appear in results, which feeds how many enquiries you get at all — see how the Airbnb search ranking algorithm works and how to maintain a 100 percent response rate.
• Keep reviews arriving. Review volume and recency compound into placement over months, not days. That is the slowest lever and the one most hosts drop first.

Pricing is the fourth lever and the one to treat most carefully; if you are considering it, read the Airbnb pricing tools comparison before you discount. BnBGenius automates the first three — gap-night and extension offers through the Upsell Engine, round-the-clock replies, and reviews posted the day after checkout — for $10 per month flat across any number of listings, with the first 500 messages free. It does not set your prices, and it should not: that decision needs your view of the season, and it stays yours.

If you are weighing that against handing the whole operation to someone else, the arithmetic is laid out in our guide to AI property management for 1-5 Airbnb listings. If you are still setting the listing up, start with how to start an Airbnb, and if you are deciding where else to list, Airbnb vs VRBO for hosts compares the two on the terms that matter to occupancy.