Airbnb Occupancy Rate by City: 2024 Data Hosts Actually Trust
The global average short-term rental occupancy rate sits at 34.0%. Average daily rate is $170. Average monthly host revenue is near $1,267, per AirROI. That single number hides a wild truth. The same ZIP code can run 22% occupancy on one block and 68% three streets over. City-level averages are a starting point, not a verdict.
The numbers below are drawn from primary sources checked at publish time.
- 34.0% global average occupancy per AirROI is the worldwide baseline city-level occupancy data is measured and ranked against. — AirROI global market report
- AirROI reports a global average daily rate of $170, the nightly revenue benchmark city-by-city performance data is calibrated against. — AirROI global market report
- AirROI reports the average Airbnb host earns $1,267 per month, the global income floor that frames every city-level occupancy comparison. — AirROI global market report
City averages lie. The unit you buy or lease lives inside a sub-market with its own demand drivers, supply curve. Permit rules. Use the city figure as a sanity check. Then verify the block.
Why City Averages Mislead More Than They Help
A city occupancy number is the mean of every active listing inside the metro. That bucket includes the dirty studio with three reviews. It includes the 9-bedroom mansion priced 4x market. It also includes the brand-new tower of 800 identical 1-bedrooms. Averaging across those listings tells you almost nothing about your unit.
Two listings in the same Nashville zip code can post 28% and 71% occupancy in the same quarter. The driver is rarely the city. It is permit density, walk score, parking, photo quality. Review count.
You need the within-market variance, not the metro headline.
The Three Hidden Variables
When you read a "Phoenix occupancy rate 2024" headline. Three things are folded inside. First, STR permit cap status. Capped markets squeeze supply and lift occupancy for grandfathered units. Second, proximity to a demand generator such as a hospital, stadium. University. Third, average listing age. New listings drag the city average down for the first 90 days.
Strip those out and the number changes by 15 to 25 points. That gap separates a profitable lease from a slow bleed.
What the 2024 Global Baseline Actually Shows
The AirROI world report gives a clean global baseline. 34.0% average occupancy, $170 ADR. $1,267 monthly host revenue. That is the floor for an average listing. Any target market should beat it on at least two of three axes.
Global average short-term rental occupancy in the AirROI 2024 world report. If your target market projects below this. You are buying into a soft demand pool. Only a strong ADR can carry that math.
U.S. metros tend to run hotter than the global mean. Coastal vacation markets post strong numbers. Dense urban cores with capped supply do too. Secondary cities with loose permits often run cooler than you think.
Read every city number against the 34% floor. A market posting 38% looks healthy. It stops looking healthy when ADR slid from $210 to $148.
Occupancy Without ADR Context Is Noise
A 65% occupancy at a $90 ADR loses to a 45% occupancy at $210. RevPAR is the product of occupancy and ADR. It is the only honest scoreboard. See lead time pricing strategy for how booking pace interacts with both numbers.
The Three Demand Generators That Beat City Averages
Above-average occupancy clusters around three demand engines. They produce year-round, weather-proof bookings. major hospitals, large employer campuses. University districts. Vacation demand is seasonal. Medical, corporate, and academic demand is not.
A 2-bedroom near a 500-bed regional hospital often runs 20 points above the city mean. Travel nurses book 13-week stays. Surgery families book 4-night stays. Both guest types are price-insensitive within reason.
Corporate campuses behave similarly. A Fortune 500 headquarters surrounded by mid-tier hotels feeds STR demand from relocations, training cohorts. Project teams.
How to Verify a Demand Generator Before You Lease
- Map the unit. Drop your target address into a map and draw a 3-mile radius around it.
- Count year-round employers. Hospitals, universities, corporate HQs, military bases. Vacation attractions do not count for this test.
- Check listing density.If your radius holds more than 200 active STR listings per generator. Supply is already saturated.
- Pull stay-length data. Markets with strong medical or corporate demand show average stay lengths of 5+ nights, not 2.3.
- Confirm with a 30-day comp scan. Look at 15 listings inside the radius and read their reviews for guest type.
Vacation Markets Behave Differently
Pure leisure markets such as Joshua Tree, Sedona. Gatlinburg post strong headline numbers. But 70% of revenue stacks into 4 peak months. Readdesert retreats in Joshua Tree 2026 for the seasonality math. Your annualized occupancy will look fine. Your cash flow will still die in February.
City-Level Occupancy: 2024 Patterns You Can Use
The table below pulls representative 2024 patterns from public market reports and operator data. Treat these as orientation, not gospel. The point is the shape, not the decimal.
| Market Type | Typical Occupancy Range | ADR Range | Demand Driver |
|---|---|---|---|
| Capped urban (NYC outer, Santa Monica) | 58% to 72% | $185 to $310 | Restricted supply |
| Hospital-adjacent secondary city | 52% to 68% | $110 to $165 | Travel nursing, medical family |
| University district | 44% to 58% | $130 to $190 | Move-in, graduation, parents weekends |
| Pure vacation (Gatlinburg, Joshua Tree) | 48% to 62% | $210 to $385 | Leisure seasonality |
| Saturated downtown loft (Nashville, Austin) | 32% to 48% | $140 to $220 | Event-driven, supply heavy |
| Outer suburb, no generator | 18% to 28% | $95 to $135 | None reliable |
The spread inside any single city covers 30 to 40 occupancy points. That is why "what is the occupancy rate in Austin" is the wrong question. The right question is. what is the rate in this specific sub-market. For a listing my size. With my review count.
Reading the Table Honestly
A 60% occupancy at $120 ADR equals roughly $2,160 monthly gross. A 45% occupancy at $210 ADR equals roughly $2,835. Higher occupancy is not the goal. Higher RevPAR is. See the pricing management service breakdown for why most hosts chase the wrong metric.
How to Pull Real Data Without Third-Party Aggregators
You do not need a paid data subscription to evaluate a market. Airbnb's market performance dashboard inside the host app shows live booking pace, lead-time distribution. ADR percentiles for your zip code. Most hosts never open it.
City tourism boards publish hotel occupancy and ADR by month. STR demand correlates tightly with hotel demand in most markets. If hotel occupancy ran 64% in Q3 2024. Your STR ceiling sits 8 to 12 points above that for a well-run listing.
The Airbnb help center covers how the market dashboard works.
Third-party aggregators model occupancy from scraped calendars. They cannot see the difference between blocked-for-personal-use nights and blocked-for-no-bookings nights. That distinction is huge. Airbnb's own dashboard knows the difference.
The 60-Day Pace Test
Before you sign a lease. Pull 15 comp listings in your exact sub-market. Check their next 60 days. If fewer than 30% of nights are booked across the comp set, demand is soft. ADR may be propped up by hopeful pricing. If more than 55% of nights are booked. You are entering a real market.
Supply Growth Is the Killer Most Hosts Miss
A market with 60% occupancy and 4% quarterly supply growth is different from one with 60% occupancy and 18% supply growth. The first holds. The second compresses within 12 to 18 months.
Operators running 50+ properties read supply growth as carefully as they read demand. New listings added per quarter is a public number. Pull it monthly from the active listings count on Airbnb search for your zip code.
Operators who track this find the same pattern. The first 30 reviews compress weekday hit rate gaps more than most price moves. Review velocity is a structural advantage that compounds as the listing ages.
The typical window from a market hitting peak occupancy to supply growth compressing it by 10 to 15 points. Buy the market on its way up. Not at the top.
Supply Growth Warning Signs
- New listings count rising more than 5% quarter over quarter
- Developer-driven "STR-ready" condo buildings under construction
- Recent loosening of city permit rules
- Multiple operator coaching programs promoting the city publicly
How Top Operators Use Occupancy Data Across a Portfolio
Operators running scale do not optimize each unit to a city benchmark. They optimize each unit to its sub-market peer set. Then they optimize the portfolio mix across markets with uncorrelated demand cycles.
A portfolio mixing medical-adjacent, ski-adjacent. Urban convention units smooths annual cash flow more than six units in one neighborhood. Diversification by demand driver matters more than diversification by city.
The 155-property pricing breakdown covers how scale operators actually price across mixed portfolios.
The city average is the noise. The sub-market sub-segment, weighted by your listing's review depth and photo quality, is the signal. Stop pricing against the headline and start pricing against the unit two blocks down with 47 reviews.
When to Outsource the Yield Layer
Picking the market is half the job. Extracting maximum revenue once you are in is the other half. Revande Performance at $130 per listing per month delivers monthly performance reports and private chat support. The goal is to push your unit toward the top of its sub-market peer set. The measured outcome: closing the gap between your actual ADR and the 75th-percentile comp ADR in your block, tracked monthly.
Your Market Analysis Checklist for the Next Lease
- Pull the global baseline. 34% occupancy, $170
- Mark the constraint. Name whether price, stay length, photos, or reviews is blocking demand.
- Change one lever.Make one edit, wait seven days. Then measure pickup before the next edit.
Use current platform documentation as a guardrail. Start with Airbnb Help, Airbnb host resources before you make a pricing, legal, or operating decision.
Price is not the whole problem.
Stage decides the right move.
Run the same review on one listing before you change the whole business. Pull the next 30 days of availability. Count the gaps, weak weekdays. Blocked weekends. Then compare those dates against your photos, rules, reviews. Price. Change one constraint at a time. Give the market seven days to answer before you change the next one.
A good article, course. Coach should make the next action obvious. The output should be a spreadsheet. Checklist, message template, pricing rule. Market scorecard you can use today. If the advice stays general. It will not help the listing. If the advice creates one measurable action. You can test it. That is the difference between content that sounds smart and work that changes bookings.
Use current platform documentation as a guardrail. Start with Airbnb Help before you make a pricing, legal, or operating decision.
Start with one listing. Pull the next 30 days. Count the gaps. Mark the weak nights. Change one rule. Check pickup next week. If demand moves, keep the rule. If demand stays flat. Test the next lever.
Do not fix every setting at once. Pick one listing. Pick one week. Pick one rule.
Good pricing is simple to test. Bad pricing hides inside averages.
The tool gives a signal. The operator makes the call.
Stop leaving revenue on the table in your market
Revande's revenue managers monitor your occupancy against the real competitive set. They adjust pricing daily. Performance plan is $130 per listing per month. Maestro is $199 per listing per month flat. Monthly reports show your occupancy and ADR trend. Private chat support inside Airbnb is included.
Start with one listing. Pull the next 30 days. Count the gaps. Mark the weak nights. Change one rule. Check pickup next week. If demand moves, keep the rule. If demand stays flat. Test the next lever.
Do not fix every setting at once. Pick one listing. Pick one week. Pick one rule.
Good pricing is simple to test. Bad pricing hides inside averages.
The tool gives a signal. The operator makes the call.
Frequently Asked Questions
What should hosts check first when bookings slow down?
Start with search fit before cutting price. Check your first photo, title, minimum stay. Cancellation policy. Then check reviews and the next 30 days of calendar pickup.
Should I lower my Airbnb price right away?
Lower price only after you know price is the constraint. If your listing gets weak clicks or poor conversion, photos, rules. Market fit may be the bigger issue.
How often should I review my Airbnb market?
Review your market weekly when demand is soft. Review at least monthly when demand is stable. Watch booked comps, open supply, event dates. Rule changes.
Is rental arbitrage legal everywhere?
No. Arbitrage depends on the lease. Building rules, city rules, permits, taxes. Insurance. Verify each layer before signing a lease.
When does coaching make more sense than a course?
Coaching fits best when you need diagnosis, accountability. Help on a specific property. A course fits better when you want a lower-cost curriculum you can run alone.