Calculate your hotel's occupancy rate by dividing rooms sold by rooms available. Track performance and benchmark against market averages.
Hotel occupancy rate is the most fundamental performance metric in the lodging industry. It measures the proportion of available rooms that are actually sold over a given period. A high occupancy rate signals strong demand, while a consistently low rate may indicate pricing issues, weak marketing, or seasonal downturns.
This calculator lets you input the number of rooms sold and the total rooms available during any time frame — a single night, a week, a month, or an entire year. It instantly returns your occupancy percentage so you can benchmark performance against your competitive set, brand standards, or historical data.
Regular occupancy tracking helps revenue managers decide when to raise or lower rates, when to open or close distribution channels, and how aggressively to pursue group business. Combined with ADR and RevPAR, occupancy rate forms the core trio of hotel revenue management KPIs.
Restaurant owners, hotel managers, and event coordinators depend on accurate hotel occupancy rate numbers to maintain profitability while delivering exceptional guest experiences. Return to this tool whenever menu prices, occupancy rates, or staffing levels shift to keep your operations on track.
Knowing your exact occupancy rate removes guesswork from pricing, staffing, and marketing decisions. It lets you compare performance across time periods, identify slow days of the week, and spot trends before they impact profitability. Lenders and investors also scrutinize occupancy data when evaluating hotel assets. Instant results let you test multiple scenarios so you can align pricing, staffing, and inventory decisions with current demand and cost pressures.
Occupancy Rate (%) = (Rooms Sold ÷ Rooms Available) × 100
Result: 70.00%
210 rooms sold ÷ 300 rooms available = 0.70 × 100 = 70.00% occupancy. This is above the U.S. national average of roughly 66%, indicating healthy demand.
Occupancy rate is the starting point for nearly every revenue management decision. It tells you how much of your inventory is being consumed and directly influences pricing strategy, labor scheduling, and capital expenditure planning.
Most hotels experience significant fluctuations. Business hotels see higher weekday occupancy, while resorts peak on weekends and holidays. By tracking occupancy granularly, you can implement dynamic pricing that captures more revenue during high-demand periods and stimulates demand during lulls.
Occupancy alone can be misleading. A hotel at 95% occupancy selling rooms at deep discounts may underperform a property at 70% occupancy commanding premium rates. Always analyze occupancy alongside ADR, RevPAR, and GOPPAR to get the full picture of financial health.
It varies by market and segment. The U.S. national average hovers around 66%. Urban full-service hotels may target 75-85%, while resort properties might be satisfied with 60-70% due to higher ADR. Always compare to your comp set rather than national averages.
Comp rooms are typically excluded from rooms sold for occupancy purposes because they don't generate revenue. However, they are sometimes included in "rooms occupied" for operational metrics like housekeeping workload.
Out-of-order rooms should be subtracted from rooms available for a true occupancy reading. If 10 of 300 rooms are OOO, available rooms become 290. This gives a more accurate picture of demand versus usable supply.
You can calculate occupancy for a single night, a week, a month, or a year. Nightly data is useful for day-of-week analysis, monthly data for trend spotting, and annual data for budgeting and investor reports.
RevPAR equals ADR multiplied by occupancy rate. You can also compute it as total room revenue divided by available rooms. Occupancy is one of the two key drivers of RevPAR, the other being average daily rate.
In standard reporting, no. However, if a hotel counts day-use rooms or sells the same room twice in a 24-hour period, reported occupancy could technically exceed 100%. This is rare and usually noted separately.