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Occupancy

Occupancy is the percentage of a property's available room inventory that was sold during a specified period.

Occupancy is the percentage of available room inventory sold during a specified period.

It describes how much of the property's available capacity was occupied.

How It Is Calculated

A simplified formula is:

Rooms sold
────────────── × 100
Rooms available

If a property has:

20 rooms available 15 rooms sold

occupancy is:

75%

STR defines hotel occupancy as the ratio of occupied rooms to total available rooms, expressed as a percentage. STR hotel benchmarking glossary

What Occupancy Tells You

Occupancy answers:

How much of our available room inventory did we sell?

It does not answer:

Did we sell those rooms at a good price?

For that, metrics such as Average Daily Rate and Revenue per Available Room provide additional context.

Why It Matters

Occupancy can help properties understand:

  • Seasonality
  • Demand
  • Weekday vs. weekend patterns
  • Performance by period
  • Availability constraints
  • Revenue-management opportunities

It is particularly useful as a pattern over time rather than as one isolated number.

High Occupancy Is Not Automatically Better

Consider:

Property A 100% occupancy at $100

Property B 80% occupancy at $160

Property A sold more of its available rooms.

That does not automatically mean it generated more room revenue or operated more profitably.

This is why Occupancy should usually be interpreted alongside ADR and RevPAR.

Common Problems

Common interpretation problems include:

  • Treating 100% occupancy as the universal goal
  • Comparing periods with different available inventory
  • Ignoring rooms removed from service
  • Comparing properties with different operating models
  • Looking at occupancy without rates or revenue
  • Optimizing occupancy through excessive discounting

How to Improve

Use occupancy as one part of the performance picture.

Compare it across:

  • Seasons
  • Days of week
  • Years
  • Rate strategies
  • Booking channels

and interpret it alongside financial and operational context.