Occupancy rate benchmarks vary widely by property type, location, and season. Here's what good actually looks like in 2025 — and how to improve yours if it's falling short.
Occupancy rate — the percentage of available nights that are actually booked — is probably the most intuitive metric in holiday rental management. It's easy to calculate, easy to understand, and gives an immediate sense of how busy your property is.
But it's also one of the most misleading metrics if you look at it in isolation.
A property at 90% occupancy might be dramatically underpriced. A property at 60% occupancy might be running an excellent premium strategy with a healthy profit margin. The metric only becomes meaningful when you understand what "good" looks like for your specific property type, location, and pricing strategy — and when you combine it with Average Daily Rate (ADR) to calculate Revenue Per Available Night (RevPAN).
With that context in mind, here are the 2025 benchmarks, the factors that shape them, and strategies to improve your occupancy without sacrificing rate integrity.
Occupancy varies significantly by market, property type, and season. The following benchmarks reflect typical annual occupancy for actively managed properties on major platforms. Properties with lower marketing investment or limited availability will be lower; professionally managed or portfolio properties with strong direct booking channels may exceed these.
| Property Type | Typical Annual Occupancy | Notes |
|---|---|---|
| City/urban apartment | 65–80% | Strong year-round demand; business and leisure mix |
| Coastal cottage/house | 55–72% | Strong summer peak; quiet winter |
| Rural countryside property | 50–68% | Shoulder season driven; slower winter |
| Lake/waterside property | 58–74% | Strong spring–autumn; some winter closure |
| Ski chalet | 45–65% | Concentrated winter season; summer opening matters |
| Large group property (6+ beds) | 45–60% | Fewer available booking units; longer stays |
| Luxury/premium property | 40–60% | Higher ADR; deliberate occupancy ceiling |
| Region | Typical Annual Occupancy |
|---|---|
| London (short-let) | 65–80% |
| Cornwall/Devon | 58–72% |
| Lake District | 60–70% |
| Scottish Highlands | 52–65% |
| Yorkshire Dales/Moors | 55–68% |
| Norfolk/Suffolk | 55–70% |
| Cotswolds | 60–72% |
| Peak District | 58–68% |
| Welsh Coast | 52–66% |
| Edinburgh (short-let) | 60–75% |
Important caveat: these are 2025 benchmarks based on industry-wide data. Individual properties can outperform these significantly with strong pricing strategy, excellent listing quality, and multi-channel distribution. And properties with issues — poor location, weak listing, or inactive management — will underperform.
Your target occupancy depends on what pricing strategy you're pursuing:
Volume strategy (optimise for bookings, competitive pricing): target 70–80%+ occupancy. You're competing hard on price to fill the calendar, accepting a lower ADR in exchange for high utilisation.
Balanced strategy (optimise RevPAN across both occupancy and ADR): target 60–72% occupancy with ADR at or above market rate. This is the most common high-performance approach.
Premium strategy (command top rates, accept lower occupancy): target 45–60% occupancy at significantly above-market ADR. This works for genuinely premium properties in markets where the luxury segment is large enough to sustain it.
For most UK self-catering properties, 60–70% annual occupancy combined with market-competitive ADR is the high-performance target.
Understanding your seasonal occupancy pattern matters as much as knowing the annual average. A property might average 65% annually but look completely different month to month:
| Month | Typical Coastal UK Occupancy | Typical Urban UK Occupancy |
|---|---|---|
| January | 20–35% | 50–65% |
| February | 25–40% | 55–68% |
| March | 40–55% | 60–70% |
| April (Easter) | 70–90% | 65–75% |
| May | 55–68% | 62–72% |
| June | 65–78% | 65–75% |
| July | 82–95% | 68–78% |
| August | 88–98% | 70–80% |
| September | 65–75% | 65–73% |
| October | 50–62% | 60–70% |
| November | 25–38% | 52–65% |
| December | 35–50% | 58–70% |
Note how urban properties have far more balanced year-round occupancy, while coastal properties see dramatic swings. This has direct implications for pricing strategy — urban hosts can afford steadier rate management, while coastal hosts need more aggressive seasonal pricing to compensate for the winter trough.
If your occupancy is significantly below the benchmarks for your property type and region, there are seven common causes:
The most common cause of low occupancy. If your rates are materially above comparable properties and your listing isn't demonstrably superior, guests will book elsewhere. The fix: competitive rate audit.
Poor photos, thin descriptions, or a lack of clear amenity information reduce conversion even when you're appropriately priced. Professional photography alone can lift booking rates by 20–25%.
A 3 or 4-night minimum in low or shoulder season blocks the majority of short-break demand. Reducing minimum stay in quiet periods is often the fastest occupancy fix.
If you're only on one OTA, you're reaching a fraction of the potential audience. Multi-channel distribution — Airbnb, Vrbo, Booking.com, and direct — significantly expands reach.
Properties with fewer than 20–30 reviews, or with a sub-4.7 rating on Airbnb, are significantly disadvantaged in OTA search visibility. Reviews require investment in guest experience and active solicitation.
OTA algorithms (particularly Airbnb) favour hosts with fast inquiry response rates. Consistent, quick responses improve search placement and directly impact booking conversion.
Some hosts inadvertently or deliberately block large chunks of their calendar (for personal use, owner stays, or maintenance) and then wonder why annual occupancy is low. If you're blocking more than 8 weeks per year, this is a significant occupancy constraint.
Every pricing decision involves a trade-off between occupancy and ADR. Understanding this trade-off is the heart of good revenue management.
Consider a property with a base rate of £130/night:
Scenario A (high occupancy / lower ADR): Rate reduced to £110, occupancy reaches 78%, RevPAN = £85.80
Scenario B (balanced): Rate at £130, occupancy 68%, RevPAN = £88.40
Scenario C (higher ADR / lower occupancy): Rate raised to £150, occupancy falls to 58%, RevPAN = £87.00
In this example, Scenario B (balanced) slightly outperforms both extremes on RevPAN. But the margins are close — and this is why monitoring RevPAN rather than occupancy or ADR alone is so important. Small changes in either metric can easily outweigh the other.
The general principle: unless occupancy is very low (below 50%) or very high (above 85%), optimising for RevPAN is better than optimising for either component alone.
Instead of targeting a single annual occupancy figure, set monthly occupancy targets that reflect realistic seasonal demand. For a coastal cottage in Cornwall:
If you're below your monthly target, investigate and address the cause. If you're consistently above your target in a given month, consider raising rates — you're probably leaving money on the table.
LetPilot tracks your occupancy rate month by month alongside ADR and RevPAN, so you always know whether you're hitting your targets and where the gaps are — without manually compiling data from multiple platforms. Try LetPilot free at letpilot.co — no credit card required.