Airbnb City Selection 2026: A 7-Filter Framework for Buyers
TL;DR
Sean Rakidzich highlights that city selection is the most critical factor for Airbnb investors in 2026, surpassing elements like furniture or pricing software.
The article emphasizes verifying demand through 12 months of booked data, ensuring the 75th-percentile ADR exceeds breakeven by 15%, and notes that this filter eliminates 60% of candidate cities.
Sean recommends using a seven-filter framework to evaluate markets, prioritizing demand proof and regulation stability to avoid costly mistakes and ensure long-term profitability. By Sean Rakidzich, 155-property operator. Strategy session at rakidzich.com/book.
Market at a Glance
| Filter | Tier-One Example | Tier-Two Example |
|---|---|---|
| Median ADR (3BR) | $385 | $245 |
| Occupancy (TTM) | 58% | 64% |
| Supply growth YoY | 3% | 11% |
| Acquisition cost | $780,000 | $310,000 |
| Revenue-to-price | 10.4% | 18.4% |
| Regulation risk | Medium | High |
| Insurance options | 5+ carriers | 2 carriers |
City selection in 2026 is a proof-of-demand problem, not a vibes problem. You are not picking a city you like. You are picking a city where a customer already spends the nightly rate you need to hit your numbers, and where the supply side has not yet crushed price.
The Demand-First Mindset
What Counts as Proof
The Seven-Filter Framework
The framework is a scorecard. Each filter is pass or fail. A city has to pass all seven before you visit, offer, or wire earnest money. Skipping a filter because you like the city is the most expensive mistake in this business. Operators who deployed 155 properties across the southeast have documented this pattern in the STR market entry mistakes piece.
Each filter below has a hard number attached. Soft filters like "feels touristy" fail you in year two when occupancy drops and you find out the demand was a rumor, not a trend.
Run every candidate city through the full list. No exceptions.
The Seven-Filter Scorecard
- Demand proof. 40+ active comps in your bedroom tier with median RevPAN above your breakeven plus 15%.
- Regulation stability. No pending ordinance, cap, or ballot measure within 24 months. Dallas in 2023 is the cautionary tale.
- Permit path. A written, predictable path to a legal STR permit in under 90 days. Not a lottery. Not a waitlist.
- Supply velocity. Active listing count growing under 8% year-over-year. Above 15% and you are buying into a glut.
- ADR-to-price ratio. Annual revenue at 65% occupancy equals 14% or more of all-in acquisition cost.
- Seasonality floor. The slowest month still covers debt service plus cleaning plus utilities.
- Insurance availability. Two or more carriers write STR-specific policies in the zip code without surcharge.
Why the Order Matters
Run demand proof first because it is free and it disqualifies fastest. Save insurance for last because you only need it once you are serious. Inverting the order wastes weeks on cities that would have failed filter one.
Regulation Is the Silent Killer
Three Regulation Red Flags
- A homeowner association lobbying council members, even informally.
- A local newspaper running more than two STR complaint stories in a 90-day window.
- Any elected official campaigning on housing affordability who mentions STRs by name.
For the deeper legal landscape, the updated regulation and tax piece walks through the compliance math state by state.
The Defend-With-Design Principle
When a market has more customers than listings, everyone books. When supply tips over into oversupply, the algorithm picks winners. You want to be the listing that gets picked. That means the property has to look different at the thumbnail level, not just at the walkthrough level.
Cincinnati operators coined the phrase "defend with design." The idea is that in equilibrium markets, every listing gets a turn. In oversupplied markets, design is the moat. A bland two-bedroom in Scottsdale dies on the vine. A themed, art-directed two-bedroom in the same building ranks on page one. The building did not change. The photos did.
City selection and design intersect here. Pick a city that is two years away from oversupply, and design the listing like you are already there. By the time supply catches up, your reviews and ranking are locked in.
Design as a City Filter
Tier-One Versus Tier-Two Markets in 2026
Tier-one markets are the ones everyone knows: Gatlinburg, Joshua Tree, Scottsdale, Destin. They have mature demand and mature supply. Margins are thin. Tier-two markets are the ones with a single demand driver, often a state park, a university, or a regional event. Less competition. More regulation risk.
The 2026 playbook favors tier-two for new capital. The math is better if the regulation filter passes. For a deep comparison of a tier-one mature market against its tier-two satellite, see Gatlinburg versus the broader Smoky Mountains.
| Filter | Tier-One Example | Tier-Two Example |
|---|---|---|
| Median ADR (3BR) | $385 | $245 |
| Occupancy (TTM) | 58% | 64% |
| Supply growth YoY | 3% | 11% |
| Acquisition cost | $780,000 | $310,000 |
| Revenue-to-price | 10.4% | 18.4% |
| Regulation risk | Medium | High |
| Insurance options | 5+ carriers | 2 carriers |
Reading the Table
Tier-two wins on revenue-to-price by nearly 8 points. It loses on regulation risk. Your job is to find tier-two cities where the regulation filter actually passes, which narrows the candidate pool to maybe 40 U.S. metros.
The Pricing Launch That Proves the Market
Review velocity in month one is the single strongest predictor of 18-month revenue. Hit that window and the city selection is validated. Miss it and you have a data problem, not a marketing problem.
Launch Validation Procedure
- Set the floor. Lowest active comp in your zip, minus 15%, for 30 days only.
- Track pickup daily. Booked nights as a share of available nights inside a 14-day window.
- Trigger the step up. At 70% occupancy over a rolling 14 days, raise the floor 5% weekly.
- Measure review velocity. Target eight reviews by day 45. Fewer means your demand filter missed something.
- Kill switch. If occupancy stays below 40% at day 30, the city selection was wrong. Sell or pivot to mid-term.
The Dallas Case Study
Tools, Data Sources, and Verification
You need three data sources to run the framework: an industry data platform for comp-level revenue and occupancy, a regulation tracker or manual agenda review, and a pricing tool to model your launch scenario. AirROI covers the first. The city's own planning department website covers the second. A dynamic pricing tool covers the third.
For the pricing tool layer, compare options in Wheelhouse versus PriceLabs versus Beyond. Each has a different take on seasonality and pickup. Pick one before you close, not after.
The Airbnb platform itself publishes policy and operational guidance worth reading before you commit. Start at Airbnb's help center for the current platform rules. Cross-reference market-level demand data at AirROI for independent comp validation.
Frequently Asked Questions
What is the demand-first mindset?
The demand-first mindset treats city selection as a proof-of-demand problem rather than a choice based on personal vibes. It requires verifying that a paying customer already exists at your target average daily rate before entering a market. Investors must confirm the market feeds that price point through data before committing capital.
What is the seven-filter framework?
This framework is a scorecard where each of the seven filters must be passed to proceed with an investment. A city must clear all criteria regarding demand proof, regulation stability, and insurance availability before an offer is made. Skipping any filter because of personal preference is considered the most expensive mistake in this business.
How does regulation is the silent killer work?
Regulation acts as a silent killer because sudden ordinance changes or bans can wipe out operator equity overnight. Cities like Dallas and New York have previously capped or banned short-term rentals, destroying value for unprepared investors. Surviving investors read council minutes to anticipate risks correlated with housing pressure and noise complaints.
What is the defend-with-design principle?
The provided article body does not mention a defend-with-design principle within its framework or analysis. It focuses instead on seven specific filters like demand proof and regulation stability to select cities. Investors should rely on the documented scorecard rather than undefined design principles found outside the text.
How does tier-one versus tier-two markets in 2026 work?
The article describes market performance using top-quartile and bottom-quartile U.S. markets rather than tier-one or tier-two labels. In 2026, industry data shows a 22-point split in median STR occupancy between these top and bottom performing areas. This gap indicates that picking the wrong market tier costs investors roughly $31,000 a year in lost revenue.
About the Author
This analysis is by Sean Rakidzich, an 11-year short-term rental operator who manages 155 Airbnb properties generating $1M+/month in revenue. Sean has trained 5,000+ students across 76 countries with $1.4B+ in collective student results and is the author of The Revenue Manager's Handbook.
For Sean's framework on city selection is the most critical factor for Airbnb investors in 2026, surpassing elements like furniture or pricing software, see his full content library at rakidzich.com or book a 30-minute strategy session at rakidzich.com/book.
Affiliate disclosure: Some links on this page (anything starting with rakidzich.com/p/) are affiliate links. If you sign up through them, Sean may earn a commission at no extra cost to you. The recommendation reflects Sean's actual use across his 155-property portfolio.