ADR vs ARR vs RevPAR: What Hotels Actually Measure

A 120-room independent hotel closes out a Tuesday with 84 rooms sold and $16,800 in room revenue. Two of those rooms went to staff, comped. Punch the numbers into three different spreadsheets and you get three different “average rate” figures, and none of them are wrong. The PMS says one number. The OTA extranet says another. The monthly ownership report says a third. Nobody adjusted anything. The metrics themselves are measuring different things, and if a revenue manager cannot say precisely which one is on the screen, every comp set comparison built on top of it is unreliable before a single rate decision gets made.

ADR, ARR and RevPAR are the three most quoted numbers in hotel revenue management, and two of them are close enough to be mistaken for the same metric while the third is genuinely different. This article works through what each one actually measures, why ARR carries two competing definitions in live use, where the naive month-end calculation quietly understates performance, and the exact check to run before trusting a number your PMS handed you.

What ADR Actually Measures

Average Daily Rate is room revenue divided by paid rooms sold, for a single day.

ADR = Total Room Revenue / Paid Rooms Sold

Two words in that formula do the actual work: paid and sold. Complimentary rooms, staff-occupied rooms, out-of-order rooms and barter arrangements all sit outside the denominator. Non-room revenue, meaning food and beverage, spa, parking and resort fees, sits outside the numerator. ADR is a pure pricing metric. It answers exactly one question: on the rooms that changed hands for money today, what did the average one go for.

That narrowness is also ADR’s biggest trap. ADR can climb while the hotel loses money, because a rate increase that costs enough occupancy will still show a proud ADR number on a nearly empty property. ADR by itself never tells you whether the increase was worth it. It also moves for reasons that have nothing to do with pricing decisions: a shift toward a higher-paying segment (more corporate, less OTA leisure) lifts ADR with the rate card untouched, which is the single most common misdiagnosis in a Monday revenue meeting.

What ARR Means, and Why Two Definitions Compete

Average Room Rate is where the confusion actually starts, because the industry has not settled on one definition.

The dominant use, especially outside North America, treats ARR as a regional synonym for ADR. ADR is the term of choice in the United States; ARR is what the same calculation is called across much of the UK, Europe and Asia. Under this reading the formula is identical, and the only real difference is scope: ADR is conventionally a single-day figure, while ARR is more often quoted over a longer window such as a month, a quarter or a full year. A hotel’s PMS in London and a hotel’s PMS in Chicago can be running the exact same math under two different labels.

A smaller but persistent second definition treats ARR as technically broader than ADR: it folds complimentary and staff-occupied rooms into the room count, where ADR strictly excludes them. Under this reading the two numbers diverge even within the same property on the same day, because ARR’s denominator is larger.

Neither camp is wrong. The problem is that nothing in a spreadsheet or a dashboard tells you which definition produced the figure in front of you. Two competing conventions sharing one three-letter abbreviation is exactly the kind of thing that gets discovered the hard way, usually while reconciling an owner’s report against a management company’s report that used a different one.

What RevPAR Adds That the Other Two Miss

Revenue Per Available Room is not a variant of ADR. It is a genuinely different metric, because it changes the denominator from rooms sold to rooms available.

RevPAR = Total Room Revenue / Total Available Rooms

Or, equivalently:

RevPAR = ADR × Occupancy Rate

That second formula is why RevPAR earns its reputation as the single most useful top-line number in the business. It cannot be gamed by chasing rate alone, because a rate increase that tanks occupancy shows up immediately as a RevPAR decline even while ADR looks great. It cannot be gamed by chasing occupancy alone either, because filling the hotel with heavily discounted rooms drags RevPAR down through the ADR side. A hotel only wins on RevPAR by getting the balance right, which is precisely the job description of revenue management.

The catch with the two formulas above is that they only agree with each other when “rooms sold” and “rooms occupied” are counted the same way. When complimentary or staff rooms are in the mix, the direct calculation (total revenue divided by available rooms) and the derived calculation (ADR times occupancy) can quietly diverge, because ADR’s denominator excluded those rooms while the occupancy rate’s denominator counted them as occupied. The worked example further down shows exactly how large that gap can get.

ADR vs ARR vs RevPAR: Side by Side, and When to Use Each

A simple rule of thumb that holds up in practice: pull ADR when you need to know if a rate decision was defensible on its own terms, pull ARR when you are reporting to an owner or board over a month or longer and the property’s convention is already established, and pull RevPAR whenever the question is really “did the hotel perform well,” because it is the only one of the three that cannot be gamed by pulling just one lever.

The PMS and OTA Labeling Trap

The practical risk is not the definitions themselves, it is that most systems never show their work. A PMS dashboard, an OTA extranet, and a monthly owner’s statement can each display a figure labeled ADR or ARR without disclosing whether comp rooms are included, whether the period is daily or monthly, or whether the number is a simple average of daily rates or a revenue-weighted average across the period. Three checks catch the trap before it costs a rate decision.

• Ask what room count sits in the denominator. Does it include complimentary and staff-occupied rooms, or only paid stays?
• Ask whether a monthly or quarterly figure is the revenue-weighted average (total revenue divided by total rooms sold) or the simple arithmetic mean of the daily figures. These are not the same number, and the gap grows with how much occupancy varies day to day.
• Before benchmarking against a comp set report, confirm the report’s provider defines the metric the same way your own system does. A comp set built from STR-style data and a PMS report pulling numbers from a different convention will never reconcile, no matter how carefully the comp set itself was chosen.

None of this shows up as a system error. Every number involved is internally consistent and correctly calculated under its own definition. The mismatch only appears the moment two reports get compared side by side, which is exactly when a revenue manager least wants to discover it.

A Worked Example Across a Full Reporting Period

Start with the comp-room trap on a single night. The 120-room hotel from the opening sells 84 rooms for $16,800 in room revenue, two of which are staff comps.

• ADR (paid rooms only): $16,800 / 82 = $204.88
• ADR calculated incorrectly with comps included: $16,800 / 84 = $200.00, a 2.4% understatement
• Occupancy (all occupied rooms, including comps): 84 / 120 = 70.0%
• RevPAR, direct calculation: $16,800 / 120 = $140.00
• RevPAR, derived from ADR × occupancy: $204.88 × 70.0% = $143.42

The two RevPAR figures do not match, and neither is a calculation error. The direct method divides the same $16,800 by all 120 available rooms and gets $140.00. The derived method multiplies the correctly-calculated paid ADR by an occupancy rate whose numerator includes the two comp rooms, so it overstates RevPAR by $3.42, about 2.4%. Whenever comp or staff rooms exist, the two RevPAR formulas will diverge exactly in proportion to how many of them there are, and a revenue manager reconciling a report needs to know which method produced the number in front of them.

Now the ARR aggregation trap, over a three-night period with no comp rooms in the mix, to isolate the second issue cleanly.

A simple average of the three daily ADR figures gives (200 + 220 + 180) / 3 = $200.00. That is the number a naive spreadsheet formula produces if someone just averages a column of daily rates. The correct ARR for the period is the revenue-weighted figure: total revenue divided by total rooms sold, or $39,000 / 190 = $205.26.

The gap is about 2.6%, and it is not random. Night 2 carried both the highest rate and the highest volume, so a simple average underweights it relative to its real contribution to revenue. The larger the swing in nightly occupancy across the period, the larger this gap gets, which is exactly why a monthly ARR pulled by averaging thirty daily ADR cells in a spreadsheet will drift further from the true figure in a hotel with a volatile booking pattern than in a steady one.

The period RevPAR ties it together cleanly. With a 120-room hotel over three nights, available room-nights total 360. RevPAR = $39,000 / 360 = $108.33. Occupancy for the period is 190 / 360 = 52.8%, and the check confirms it: $205.26 × 52.8% = $108.38, matching within rounding because there were no comp rooms to create the earlier mismatch.

Beyond These Three: TRevPAR, GOPPAR and Comp Set Indices

ADR, ARR and RevPAR only ever look at room revenue. The moment a hotel wants to see food and beverage, spa and other ancillary income folded into the same lens, the relevant metric is TRevPAR, and the one after that, the profit-side view once operating costs are subtracted, is GOPPAR. A hotel chasing RevPAR at the expense of margin is a common enough trap that it gets its own treatment in our total revenue management guide, including the worked flow-through math from RevPAR to GOPPAR.

Comp set benchmarking introduces its own layer of indices built on top of RevPAR and ADR rather than replacing them: MPI decomposes occupancy performance against the competitive set, ARI does the same for rate, and RGI, the product of the two, does it for RevPAR. Our full breakdown of how to read RGI, MPI and ARI covers the comp set selection and the occupancy-cost trap that trips up hotels using these indices for the first time.

For a single reference covering every term in this cluster with formulas attached, the hotel revenue management terminology glossary is the fastest way to look one up mid-meeting. And once the metrics are straight, the natural next question is how a hotel actually structures pricing tiers around demand signals like pace and pickup, which our BAR pricing strategy guide walks through with its own worked RevPAR math.

Frequently Asked Questions

Conclusion

ADR and ARR are close enough to be interchangeable in most conversations, but “close enough” is exactly where reporting mismatches live, and the exact definition in use is rarely written down anywhere you can check in five seconds. RevPAR is not a variant of either one. It is the metric that actually tells you whether the hotel performed, because it is the only one of the three that cannot be inflated by pulling a single lever. Get the definitions straight before the comp set report gets pulled, not after two numbers stop reconciling.

If your property’s reporting has ever produced two different rate figures for the same night and nobody could explain why, get in touch and we will help you find the mismatch.