There is no credible single occupancy figure for UK Airbnbs, and the percentages quoted online cannot be traced to a source that measures short lets. Occupancy is booked nights divided by available nights, which means it moves with your own definition of “available”, with the season, and above all with your price. The number worth tracking is revenue per available night.
That answer is less satisfying than “62%”, and it is the only one that survives contact with the data.
Why nobody can give you the number
The UK does publish monthly occupancy statistics. The England Occupancy Survey measures bedroom and bed-space occupancy across the serviced accommodation sector: large hotels down to small bed and breakfasts and farmhouses.
Short lets are not in it. A self-catering cottage with no reception desk, no breakfast and a three-night minimum is a different product with different booking behaviour, and borrowing a hotel’s occupancy as your benchmark compares a property that sells 365 nights of availability to one that sells weekends and school holidays.
The Airbnb-level figures circulating online come from analytics firms scraping listing calendars. Their methodology is not published in a form anyone can check, and the next section explains why calendar scraping overstates occupancy in the first place.
So the benchmark does not exist. What does exist is arithmetic you can run on your own property.
The denominator problem
Occupancy looks simple: booked nights divided by available nights. The second number is where it falls apart.
Take a property with 180 booked nights in a year, and watch three reasonable owners report three different figures.
Same 180 booked nights, three answers
What you count as available decides the number
Against the whole year, 365 nights
49%
Minus 30 nights you blocked for your own family
54%
Minus the 90 winter nights you took the listing down
73%
Illustrative arithmetic on one set of bookings, to show the method.
Forty-nine per cent and seventy-three per cent describe exactly the same year. Neither is wrong. This is why a benchmark lifted from a blog tells you nothing: you do not know which of these three sums produced it.
Pick one definition, write it down, and use the same one every year. Counting against the full 365 is the strictest and the most useful, because it includes the cost of the nights you chose not to sell.
Occupancy is an output of price
Any listing can hit high occupancy. Drop the nightly rate far enough and the calendar fills.
That is why occupancy on its own cannot tell you whether a property is performing. A property at 85% occupancy on a rate that barely clears the changeover cost is working hard for very little, and a property at 55% on a strong rate can be earning more for less wear, fewer changeovers and fewer guests.
How the rate itself should be set through the year, including the seasonal curve and booking pace, belongs to how dynamic pricing actually works.
The number worth tracking instead
The hotel industry solved this a long time ago and the short-let world is slowly catching up. The measure is revenue per available night: total booking revenue divided by the nights the property was available.
It collapses price and occupancy into one figure, which makes two different years, or two different strategies, genuinely comparable.
Run it on the same property with two strategies:
- Fill the calendar. 260 nights booked at an average of £95 gives £24,700. Against 365 available nights, that is £68 per available night.
- Hold the rate. 190 nights booked at an average of £145 gives £27,550. Against the same 365 nights, that is £75 per available night.
The second year had lower occupancy, higher revenue, 70 fewer nights of wear and fewer changeovers to pay for. These figures are invented to show the method and are not a forecast for any property, but the shape of that trade is real and it is the reason “what is a good occupancy rate” is the wrong question.
Building your own expectation
With no benchmark to borrow, build one from the market you are actually in:
- Find eight to twelve genuinely comparable listings nearby: same bedroom count, same guest type, same kind of location. A two-bed town flat is not a comparable for a six-bed rural house with a hot tub.
- Look at a full twelve months, not the next six weeks. Short-let demand is seasonal, and a sample taken in August describes August.
- Read the rates, not just the availability. What similar properties charge in each season is the more reliable signal, and it is the input you need for the revenue sum anyway.
- Build the year from the seasons. Estimate booked nights for peak, shoulder and off-season separately, then add them. An annual average built from three seasonal estimates beats one guessed percentage.
The limit of this method, which most guides skip: on a public listing calendar you cannot tell a booked night from a blocked one. An owner’s two-week holiday, a refurbishment, a long maintenance gap and a sold-out fortnight all render identically. Anyone counting “unavailable” nights as bookings, including the analytics firms, is overstating occupancy by an unknown margin. Treat calendar-derived occupancy as a ceiling.
What actually moves it
In rough order of how much difference they make:
- Price against the right season, which is where most of the gap sits.
- Minimum stay, which can quietly wall off demand. It is a lever to move through the year.
- Review count and recency, because a listing with few recent reviews converts worse at the same price.
- The first photo, which decides whether anyone reaches the price at all. Listing photography covers the shot list.
- Lead time, which tells you whether you are pricing too early or too late.
If the calendar is empty and none of those explain it, the problem is upstream of occupancy. Why an Airbnb stops getting bookings works through the diagnosis in order.
When low occupancy is the right answer
Some properties should not be full.
A high-rate property in a strong location, let to the guests who pay the most, can earn more across 160 nights than across 280. Every booking carries a changeover cost, laundry, consumables and wear, and those costs scale with nights sold while the rate does not.
The same applies if you use the property yourself. Blocking August is a legitimate choice with a known price, and the only mistake is not knowing what the price was.
Where this leaves you
Stop looking for the benchmark. Define your denominator, record booked nights and revenue by season, and track revenue per available night year on year. That gives you a number that describes your property instead of someone else’s average.
If you want that modelled before you commit, a free Airbnb valuation gives a realistic annual range for your actual address with the assumptions written down, including the booked nights behind it. If the numbers work and you would rather not run it yourself, full management is how we take it on.
Frequently asked questions
How do I calculate my occupancy rate?
Booked nights divided by available nights, over a stated period. Decide once whether “available” means all 365 nights, or excludes the nights you blocked for yourself, and keep that definition every year. Counting against 365 is the strictest, because it prices the nights you chose not to sell.
Is 60% occupancy good?
There is no answer without the rate beside it and the denominator behind it. Sixty per cent at £180 a night is a strong year; sixty per cent at £60 a night on the same property is a problem. Compare revenue per available night instead, against your own previous year.
Why is my occupancy high but my income low?
Almost always price. A calendar that fills months ahead at every season is the clearest sign a rate is set too low, because demand is being converted at a discount it did not need. Check what comparable properties charge in the same weeks before changing anything.
Can I see a competitor’s occupancy?
Not reliably. A public calendar shows unavailable nights without saying why, so owner stays, maintenance and genuine bookings all look the same. You can see their rates, which is the more useful half, and that is worth collecting season by season.
Sources
- VisitEngland: England Occupancy Survey and its archive (monthly bedroom and bed-space occupancy for the serviced accommodation sector, hotels to bed and breakfasts and farmhouses, which is why it does not measure short lets; checked 2026-10-01)
- The occupancy arithmetic, the three denominators and the revenue-per-available-night comparison are shown in full on this page. The figures are illustrative and are stated as such.





