Occupancy Rate
Occupancy rate is the percentage of nights in a given period that are booked by guests. AirROI calculates it as booked nights ÷ all nights in the year (blocked nights count as unbooked), multiplied by 100. It is the primary demand signal in short-term rental analytics, and together with ADR, it determines RevPAR and total revenue.
Key Takeaways
- Occupancy rate = (Booked Nights ÷ All Nights) × 100; nights the owner blocks count as unbooked
- Dividing by available nights instead gives the higher adjusted occupancy rate, so check which one a figure uses before comparing
- AirROI trailing-12-month data shows US STR markets ranging from 44% (Austin) to 55% (San Francisco)
- Higher occupancy does not always mean higher revenue — rate optimization matters equally
- Analyze occupancy alongside ADR and RevPAR; a rising occupancy with falling ADR is a warning sign
- Seasonal patterns cause month-to-month swings of 20+ percentage points in many markets
- Regulatory supply constraints can push compliant-listing occupancy higher, as in New York after Local Law 18
How to Calculate Occupancy Rate
Formula:
Occupancy Rate = (Booked Nights ÷ All Nights in the Period) × 100
Example:
In a 30-night month, guests booked 22 nights and you blocked 3 nights for personal use:
Occupancy Rate = (22 ÷ 30) × 100 = 73.3%
All nights means every night in the period, whether it was booked, open or blocked. Nights you block for personal use or maintenance stay in the denominator as unbooked nights, so heavy owner use lowers the rate. This is the definition AirROI uses for every occupancy figure: booked nights ÷ all nights in the year, with blocked nights counted as unbooked.
Some tools and hosts divide by available nights instead, leaving blocked nights out. On the same month that gives 22 ÷ 27 = 81.5%. That version is the adjusted occupancy rate: useful for judging how well the open nights sold, but it reads higher than the standard rate for the same home, so line up the definitions before comparing two occupancy figures.
STR Occupancy Rate Benchmarks
| Rating | Occupancy Rate | Interpretation |
|---|---|---|
| Excellent | 75%+ | High demand; test higher nightly rates immediately |
| Good | 55–75% | Healthy balance of bookings and ADR |
| Fair | 35–55% | Improve pricing, photos, or minimum-stay rules |
| Low | Below 35% | Review listing fundamentals and market competition |
These benchmarks apply to properties priced at or near market rate. A luxury property running 45% occupancy at $800/night can outperform a budget listing at 70% occupancy and $120/night on every revenue metric that matters — including RevPAR and NOI.
Occupancy Rates Across US Markets
In AirROI's analysis of more than 44,000 active listings across seven US markets, median occupancy spans a 11-point range from 44% to 55% — a surprisingly tight band given the diversity of destinations involved.
| Market | Occupancy | ADR | RevPAR | Active Listings |
|---|---|---|---|---|
| San Francisco, CA | 55% | $273.50 | $152.10 | 4,355 |
| Denver, CO | 54% | $221.50 | $120.00 | 3,739 |
| San Diego, CA | 53% | $394.90 | $212.20 | 9,560 |
| Miami, FL | 49% | $291.00 | $142.90 | 7,905 |
| Nashville, TN | 47% | $353.60 | $160.20 | 6,165 |
| Gatlinburg, TN | 47% | $376.50 | $178.10 | 3,622 |
| Austin, TX | 44% | $297.70 | $129.80 | 8,774 |
The data exposes the occupancy-ADR trade-off directly: San Francisco's 55% occupancy is the highest in the group, yet its $273.50 ADR ranks near the bottom. San Diego and Nashville both run lower occupancy but post $40–$120 more per night, which translates into stronger RevPAR. Occupancy alone does not determine which market — or which host strategy — wins.
The markets with the highest occupancy are not always the most profitable. San Diego's 53% occupancy combined with a $394.90 ADR produces a $212.20 RevPAR — nearly 40% above San Francisco's $152.10 despite 2 points less occupancy. Rate discipline, not occupancy maximization, is the lever that compounds fastest.
Why Occupancy Rate Matters
Revenue arithmetic: RevPAR equals ADR times occupancy rate. A 5-point occupancy gain on a $300 ADR property adds $15 per available night — roughly $5,400 per year — with zero change to pricing. That same gain from a rate increase is harder to achieve and risks losing bookings.
Investment underwriting: Projected occupancy is the variable with the most leverage in any cap rate or cash-on-cash return model. A 10-point overestimate of occupancy can inflate projected NOI by 15–20% and cause an investor to overpay. Our STR investment analysis guide walks through how to stress-test occupancy assumptions before acquisition.
Demand signal: Falling occupancy in a stable-supply market signals weakening demand or a pricing mismatch. Rising occupancy while ADR holds flat signals room to test higher rates. Tracking both together — rather than either alone — is the foundation of disciplined Airbnb pricing.
Regulatory read-through: Supply constraints can structurally lift occupancy for compliant listings. In New York, AirROI data shows active listings fell from roughly 26,775 in September 2023 to ~10,500 by April 2026 following Local Law 18 enforcement — a 60% contraction in supply that effectively raised occupancy for the listings that remained legally active.
How to Improve Your Occupancy Rate
Adjust minimum stays strategically. Long minimum-stay requirements create orphan days — unbookable gaps between reservations. Reducing the minimum stay to 1–2 nights during low-demand windows fills those gaps without cutting rates on peak nights.
Use dynamic pricing. Automated tools lower rates during slow periods to capture bookings that would otherwise go to competitors, and raise rates when demand spikes so you don't leave money on the table. The closing-window dynamic pricing framework shows how to calibrate this without underpricing last-minute inventory.
Audit your seasonal calendar. Most markets have predictable low seasons where occupancy drops 15–25 points. Pre-loading promotional rates and shorter minimums before the shoulder season — not during it — captures early bookers who would otherwise choose a competitor.
Maintain a high review score. Airbnb's search algorithm weights ratings heavily. Properties with 4.8+ stars surface higher in search results, which directly raises organic booking probability. AirROI data shows Superhost-badged listings in Gatlinburg running 53% occupancy versus 36% for non-Superhosts in the same market — a 17-point gap driven partly by search placement.
Enable Instant Book. Friction in the booking process suppresses conversion. Guests who must submit a request and wait for approval often book a competing property in the meantime. Instant Book removes that friction and improves occupancy, especially for last-minute bookings.
To pull occupancy for a specific market into an AI assistant, query occupancy from Claude via MCP: AirROI's airroi_market_occupancy tool returns the monthly figures for any market, with up to 60 months of history per request.
Frequently Asked Questions
Divide the number of booked nights by all nights in the period, then multiply by 100. AirROI uses booked nights ÷ all nights in the year (blocked nights count as unbooked). For example, 22 booked nights in a 30-night month is a 73.3% occupancy rate, even if 3 of the other nights were blocked for personal use. Dividing by available nights instead (22 ÷ 27 = 81.5%) gives the adjusted occupancy rate, which reads higher for the same home.
Not necessarily. A 100% occupancy rate almost always means your nightly rate is too low. Revenue management research consistently shows that 70–85% occupancy at an optimized rate generates more total revenue than 100% occupancy at a discounted price — and it also reduces wear on the property.
RevPAR equals ADR multiplied by occupancy rate, so every percentage-point change in occupancy moves RevPAR by the same proportion. A property with a $300 ADR and 50% occupancy earns $150 RevPAR; raise occupancy to 55% without cutting rate and RevPAR jumps to $165 — a 10% gain from a 5-point occupancy move.
The five largest drivers are local demand and seasonality, nightly price relative to comparable listings, minimum-stay requirements (longer minimums create orphan-day gaps), listing quality (photos, reviews, response rate), and regulatory supply constraints. Markets with heavy regulation like New York have structurally lower supply, which can push occupancy higher for compliant listings.