RevPAR — Revenue Per Available Room

RevPAR Explained

RevPAR exists because neither occupancy rate nor average daily rate tells the full story on its own. A hotel running at 95% occupancy with an ADR of £80 is not necessarily outperforming a competitor at 70% occupancy with an ADR of £140. The first property achieves a RevPAR of £76; the second achieves £98. Without RevPAR, comparing these two strategies, volume-driven versus rate-driven, would require analysing two separate metrics and mentally combining them. RevPAR does this in one step, which is why it became the industry standard in the 1990s and remains so today.

The power of RevPAR lies in its simplicity and universality. It normalises performance against total available inventory rather than just sold rooms, meaning it penalises a hotel that achieves high rates but leaves rooms empty. This makes it particularly useful for revenue managers, general managers and asset owners who need to understand how efficiently a property converts its physical capacity into revenue. When tracked over time, daily, weekly, monthly, annually, RevPAR reveals demand patterns, pricing effectiveness, the impact of events and seasonality, and the success of revenue management strategies.

RevPAR is also the foundation of competitive benchmarking in hospitality. Through data providers such as STR (now CoStar), hotels submit performance data and receive reports comparing their RevPAR to a defined competitive set. This comparison is expressed as the RevPAR Index, also known as the Revenue Generation Index (RGI). An RGI of 100 means the hotel is performing in line with its competitors; above 100 indicates the hotel is capturing more than its fair share of market revenue. For hotel owners and management companies, RGI is often more important than absolute RevPAR because it measures relative competitive strength.

Despite its dominance, RevPAR has important limitations that every hotelier should understand. It measures room revenue only, it ignores food and beverage, spa, parking, events and all other ancillary income streams. A resort generating £120 RevPAR with £80 in ancillary revenue per occupied room is fundamentally different from a limited-service hotel generating the same RevPAR with minimal ancillary income. This limitation has driven the adoption of complementary metrics such as TRevPAR (Total Revenue Per Available Room) and GOPPAR (Gross Operating Profit Per Available Room), which provide a more complete picture of financial performance.

How RevPAR Works

RevPAR = ADR × Occupancy Rate Alternatively: RevPAR = Total Room Revenue ÷ Total Available Rooms Both formulae yield the same result. The first highlights that RevPAR is a function of two levers, rate and occupancy, that revenue managers must balance. The second is more practical for calculation when you have aggregate revenue data. “Available rooms” means the total number of rooms in the hotel multiplied by the number of days in the period, minus any rooms genuinely out of inventory (e.g. under renovation).

Calculation Example

A 200-room hotel in Edinburgh achieves in March: total room revenue of £744,000 across 31 days. The hotel has 6,200 available room nights (200 rooms × 31 days). RevPAR = £744,000 ÷ 6,200 = £120.00. Cross-checking with the component formula: if occupancy is 78% and ADR is £153.85, then RevPAR = £153.85 × 0.78 = £120.00. Both routes confirm the same figure.

RevPAR Index (RGI)

The RevPAR Index, commonly called RGI (Revenue Generation Index), compares a hotel’s RevPAR against a weighted average of its competitive set. The formula is straightforward: RGI = (Hotel RevPAR ÷ Competitive Set RevPAR) × 100. If the Edinburgh hotel achieves a RevPAR of £120 while its five-property competitive set averages £110, its RGI is 109.1, meaning it captures 9.1% more than its fair share of market room revenue. STR STAR reports, the industry-standard benchmarking tool, provide RGI alongside equivalent indices for occupancy (MPI, Market Penetration Index) and ADR (ARI, Average Rate Index).

The Two Levers: Rate vs. Occupancy

RevPAR improvement requires moving one or both of its components, ADR and occupancy, without negatively affecting the other. This is the central tension in revenue management. Raising rates aggressively may improve ADR but suppress demand and lower occupancy, potentially reducing RevPAR. Discounting fills rooms but can erode rate to the point where RevPAR declines despite higher volume. The optimal strategy depends on demand conditions: in high-demand periods, rate maximisation drives RevPAR; in low-demand periods, occupancy protection through selective discounting may be more effective. Sophisticated revenue management systems model this trade-off continuously, recommending rate and availability decisions that maximise RevPAR across all segments and channels.

Limitations of RevPAR

RevPAR’s most significant limitation is its focus on room revenue alone. In an industry where ancillary revenue increasingly determines profitability, this is a meaningful blind spot. A hotel that discounts room rates to attract guests who spend heavily on food, beverage and spa may appear to underperform on RevPAR while actually generating superior total revenue and profit. Additionally, RevPAR does not account for the cost of acquiring the revenue, rooms sold through high-commission OTA channels generate the same RevPAR as direct bookings, despite significantly different net revenue. For these reasons, progressive revenue management teams use RevPAR as one metric within a broader framework that includes TRevPAR, net RevPAR (after distribution costs), GOPPAR and contribution analysis by segment.

Practical Example

In practice, this concept only creates measurable value when your hotel links it to clear operating routines, owner-level KPIs and a realistic implementation roadmap. Define one concrete use case, measure baseline performance, roll out in short cycles, and review results monthly with Revenue, Commercial, Operations and Tech in one steering rhythm.