What is Occupancy Rate?

Occupancy rate is the percentage of available workspaces (desks, meeting rooms or floors) that are occupied during a defined period. It shows how much of your space is actually being used.

Occupancy rate compares the number of workstations or rooms in use to the total number available over a specific time window (for example a day, a peak hour or an average week). It can be measured for whole offices, individual floors, desk types or meeting rooms, and is calculated from sources such as badge swipes, booking systems, sensors or headcounts. Note that occupancy is a snapshot of presence (who/what is in a space) while utilisation is often used more broadly to describe how effectively space supports work (duration, purpose and quality of use).

Usage example

If your office has 200 bookable desks and badge data shows 120 distinct desks were occupied on an average Tuesday, the desk occupancy rate for that day is 60%.

Practical application

Occupancy rates help teams decide whether to right-size real estate, reconfigure layouts or adjust hybrid working policies. They inform evidence-based choices about reducing unused space, reallocating meeting rooms, planning cleaning schedules or investing in collaboration areas. Because single snapshots can be misleading, use occupancy rates alongside time-based trends, team-level breakdowns and employee feedback to avoid over- or under-reacting to temporary patterns.

FAQ

How is occupancy rate different from utilisation?

Occupancy rate measures how many seats or rooms are occupied out of those available during a chosen period. Utilisation often refers to how well space supports work and can include duration, frequency, purpose and satisfaction. The terms are sometimes used interchangeably, so always check how the metric is defined in your reports.

What is a "good" occupancy rate?

There is no universal benchmark — a suitable target depends on organisation strategy, space type and hybrid working expectations. Many teams aim for mid-range occupancy (for example 50–75%) to balance cost efficiency with available seats for peak demand, but the right level should reflect your goals for flexibility, employee choice and business continuity.

What are common pitfalls when measuring occupancy rate?

Pitfalls include relying on a single data source (bookings vs actual presence), measuring only peak periods, failing to segment by team or space type, and ignoring privacy considerations with sensors or badge data. Mitigate these by combining data sources, tracking trends over time and pairing quantitative metrics with employee surveys.

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