
Two equivalent formulas produce the same result:
Method 1 — Rate × Occupancy:
RevPAR = ADR × Occupancy Rate
Method 2 — Revenue over inventory:
RevPAR = Total Room Revenue ÷ Total Available Nights
Example:
A Nashville cabin with a $353.60 ADR and 47% occupancy:
RevPAR = $353.60 × 0.47 = $166.19
That $166.19 represents what every calendar night is worth — on average — whether or not a guest slept there.
ADR flatters. A property that charges $500 per night but books only 30% of the time looks like a premium performer on rate alone; its RevPAR of $150 tells a different story. The table below shows how identical ADRs can produce vastly different revenue outcomes once occupancy is introduced:
| Scenario | ADR | Occupancy | RevPAR | Monthly Revenue (30 nights) |
|---|---|---|---|---|
| High rate, low demand | $300 | 40% | $120 | $3,600 |
| Balanced optimization | $200 | 65% | $130 | $3,900 |
| Low rate, high fill | $150 | 90% | $135 | $4,050 |
| Superhost premium blend | $350 | 65% | $228 | $6,825 |
The "high rate, low demand" scenario — the most seductive on paper — generates the least cash. RevPAR surfaces that truth where ADR hides it.

In AirROI's analysis of more than 59,237 active listings across eight US markets, RevPAR ranges from $115.10 in Las Vegas to $212.20 in San Diego — a 84% spread driven by the interaction of local rates and demand depth, not by either factor alone.
| Market | ADR | Occupancy | RevPAR |
|---|---|---|---|
| San Diego, CA | $394.90 | 53% | $212.20 |
| Scottsdale, AZ | $421.10 | 49% | $210.30 |
| Gatlinburg, TN | $376.50 | 47% | $178.10 |
| Nashville, TN | $353.60 | 47% | $160.20 |
| Los Angeles, CA | $311.60 | 48% | $154.00 |
| San Francisco, CA | $273.50 | 55% | $152.10 |
| Miami, FL | $291.00 | 49% | $142.90 |
| Las Vegas, NV | $274.20 | 42% | $115.10 |
San Francisco's RevPAR ($152.10) sits below San Diego ($212.20) despite having the highest occupancy rate in the dataset (55%). The culprit is San Francisco's lower ADR relative to its property costs — a reminder that RevPAR reflects real demand conditions, not just headline rate potential.
RevPAR is the one number that tells you whether your pricing strategy is working — a rising ADR paired with falling occupancy produces a flat or declining RevPAR, which is the earliest warning that your rate floor has moved above what the market will bear.
| Market | Superhost RevPAR | Non-Superhost RevPAR | Premium |
|---|---|---|---|
| Scottsdale, AZ | $241.90 | $137.00 | +77% |
| Gatlinburg, TN | $201.80 | $137.50 | +47% |
| Nashville, TN | $169.70 | $134.40 | +26% |
RevPAR improvement comes from moving ADR, occupancy, or both. The three levers that work in practice:
Minimum-night management directly controls vacancy. Platforms like Airbnb fill short gaps between bookings when minimum-night requirements are flexible; hosts who reduce minimums on orphan-night windows recover 8–15 booked nights annually that would otherwise sit dark.
A good RevPAR depends on your market. AirROI data shows trailing-12-month medians ranging from $115 in Las Vegas to $212 in San Diego. Compare within your market — a $130 RevPAR in Nashville is respectable, while the same number in San Diego signals underperformance relative to peers.
ADR measures average revenue per booked night only — it ignores vacancy. RevPAR accounts for every available night, booked or not. RevPAR = ADR × occupancy rate. A property with a $200 ADR but only 60% occupancy has a RevPAR of $120, exposing the 40% of nights generating zero income.
Raise RevPAR by improving either ADR or occupancy — or both simultaneously. Dynamic pricing closes the gap between peak and shoulder periods. Reducing minimum-night requirements fills short gaps. Superhost status lifts both metrics: AirROI data shows Scottsdale Superhosts achieve a $241.90 RevPAR versus $137.00 for non-Superhosts.
RevPAR reflects both local rate levels and demand depth, so cross-market comparisons require context. A $160 RevPAR in Nashville and a $152 RevPAR in San Francisco reflect very different cost structures and regulatory environments. RevPAR is most reliable as an intra-market ranking tool and a trend indicator for a single property over time.
Restrictive regulation compresses RevPAR indirectly: supply falls (fewer competing listings), but demand also falls because guests can't find short-stay options. New York City's Local Law 18 pushed median minimum nights to 25.8 nights and cut active listings by roughly 60%, producing a market RevPAR of $120.50 — below comparably priced metros with lighter regulation.
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