City Survivability Rankings for Boutique
StreetSpring's 2026 analysis ranks the top cities for Boutiques across the US by Survivability Scores. See which cities offer the best chances for a Boutique to succeed.
Quick Summary
- The highest-survivability city for Boutique is San Antonio — 74% average survivability
- 6 of 24 analyzed US metros score above 70% for Boutique survivability
- The lowest-ranked city is Philadelphia at 65%
- National average survivability score for Boutique: 69.0%
- Data reflects 2026 StreetSpring survivability analysis across 24 US metro areas · Full methodology →
Table of Contents
- Summary
- Top Cities for Boutiques
- Key Insights
- What Makes These Cities Stand Out?
- Related Resources
- How current is this ranking?
- Can a Boutique succeed in cities not ranked in the top 10?
- What tools can help me choose the right city for a Boutique?
- Which US city has the best survivability for Boutiques?
Summary
According to StreetSpring's 2026 nationwide analysis, San Antonio ranks as the #1 city for opening a Boutique in the United States, with an average 74% chance of surviving more than 2 years. Following close behind are Dallas with 74%, and Portland with 73%. Our 24-city dataset shows Boutiques achieving 69.0% average survivability nationally — San Antonio pulling notably ahead of the pack. However, the specific location is very important — there are excellent locations even in neighborhoods that might not appear to be a great fit at the city level. These rankings reflect data through early 2026 — check StreetSpring for the latest figures before any location decision.
Survivability ranges reflect best and worst storefront conditions within each city. See our full methodology →
Boutique city survivability rankings — San Antonio leads among 24 US metros at 74% in 2026
Ranked: 24 Cities by Boutique Survivability
Based on StreetSpring's analysis of 24 major metropolitan areas, these cities offer the strongest prospects for Boutiques:
1. San Antonio Metro: San Antonio-New Braunfels, TX
- Best locations: 80.7% – 89.0%
- Average locations: 68.8% – 75.7%
- Challenging locations: 32.0% – 61.3%
The metro-level signals behind these scores
2. Dallas Metro: Dallas-Fort Worth-Arlington, TX
- Best locations: 77.4% – 82.0%
- Average locations: 69.0% – 74.6%
- Challenging locations: 35.0% – 62.0%
3. Portland Metro: Portland-Vancouver-Hillsboro, OR-WA
- Best locations: 81.9% – 93.0%
- Average locations: 67.2% – 75.3%
- Challenging locations: 26.0% – 58.8%
4. St Louis
- Best locations: 79.4% – 88.0%
- Average locations: 67.4% – 74.2%
- Challenging locations: 31.0% – 60.0%
5. Charlotte Metro: Charlotte-Concord-Gastonia, NC-SC
- Best locations: 79.8% – 89.0%
- Average locations: 67.8% – 74.3%
- Challenging locations: 35.0% – 61.1%
6. Orlando Metro: Orlando-Kissimmee-Sanford, FL
- Best locations: 78.6% – 88.0%
- Average locations: 66.3% – 72.9%
- Challenging locations: 33.0% – 59.5%
7. Tampa Bay Metro: Tampa-St. Petersburg-Clearwater, FL
- Best locations: 78.4% – 89.0%
- Average locations: 65.4% – 72.1%
- Challenging locations: 33.0% – 58.7%
8. Phoenix Metro: Phoenix-Mesa-Chandler, AZ
- Best locations: 77.9% – 88.0%
- Average locations: 64.9% – 71.8%
- Challenging locations: 31.0% – 58.0%
9. Atlanta Metro: Atlanta-Sandy Springs-Roswell, GA
- Best locations: 77.6% – 88.0%
- Average locations: 64.5% – 71.3%
- Challenging locations: 31.0% – 57.6%
10. San Francisco Metro: San Francisco-Oakland-Fremont, CA
- Best locations: 77.1% – 87.0%
- Average locations: 64.2% – 71.2%
- Challenging locations: 29.0% – 57.0%
11. San Diego Metro: San Diego-Chula Vista-Carlsbad, CA
- Best locations: 77.1% – 87.0%
- Average locations: 64.3% – 71.1%
- Challenging locations: 30.0% – 57.3%
12. Los Angeles Metro: Los Angeles-Long Beach-Anaheim, CA
- Best locations: 77.5% – 88.0%
- Average locations: 64.2% – 71.2%
- Challenging locations: 30.0% – 57.2%
Where mid-ranked cities still beat top-ranked spots locally
13. Baltimore Metro: Baltimore-Columbia-Towson, MD
- Best locations: 77.4% – 88.0%
- Average locations: 64.0% – 71.1%
- Challenging locations: 29.0% – 56.8%
14. Minneapolis Metro: Minneapolis-St. Paul-Bloomington, MN-WI
- Best locations: 77.7% – 89.0%
- Average locations: 63.7% – 71.0%
- Challenging locations: 28.0% – 56.4%
15. Houston Metro: Houston-Pasadena-The Woodlands, TX
- Best locations: 77.5% – 89.0%
- Average locations: 63.5% – 70.6%
- Challenging locations: 30.0% – 56.7%
16. Denver Metro: Denver-Aurora-Centennial, CO
- Best locations: 76.5% – 87.0%
- Average locations: 63.1% – 70.1%
- Challenging locations: 28.0% – 55.9%
17. Washington DC Metro: Washington-Arlington-Alexandria, DC-VA-MD-WV
- Best locations: 76.8% – 88.0%
- Average locations: 63.1% – 70.1%
- Challenging locations: 30.0% – 56.3%
18. Detroit Metro: Detroit-Warren-Dearborn, MI
- Best locations: 76.7% – 88.0%
- Average locations: 63.1% – 69.9%
- Challenging locations: 31.0% – 56.5%
19. Boston Metro: Boston-Cambridge-Newton, MA-NH
- Best locations: 76.7% – 88.0%
- Average locations: 62.4% – 69.9%
- Challenging locations: 26.0% – 55.0%
20. Seattle Metro: Seattle-Tacoma-Bellevue, WA
- Best locations: 76.6% – 88.0%
- Average locations: 62.6% – 69.7%
- Challenging locations: 29.0% – 55.8%
21. Chicago Metro: Chicago-Naperville-Elgin, IL-IN
- Best locations: 76.8% – 89.0%
- Average locations: 62.2% – 69.4%
- Challenging locations: 29.0% – 55.4%
22. New York City Metro: New York-Newark-Jersey City, NY-NJ
- Best locations: 75.6% – 88.0%
- Average locations: 61.1% – 68.1%
- Challenging locations: 30.0% – 54.8%
23. Miami Metro: Miami-Fort Lauderdale-West Palm Beach, FL
- Best locations: 76.0% – 89.0%
- Average locations: 61.0% – 68.2%
- Challenging locations: 29.0% – 54.4%
24. Philadelphia Metro: Philadelphia-Camden-Wilmington, PA-NJ-DE-MD
- Best locations: 75.6% – 89.0%
- Average locations: 60.5% – 67.6%
- Challenging locations: 30.0% – 54.3%
What the Data Reveals
| Signal | Where strong-survivability cities outperform | What drags weaker cities down |
|---|---|---|
| Daytime vs residential population mix | Cities with strong daytime employment density near the storefront catchment — CBD-adjacent mixed-use corridors. | Bedroom-community metros where daytime population evaporates by 9am and consumption shifts to 6pm dinner-only windows. |
| Market size vs saturation | Mid-sized metros with established demand but room for new entrants — under-served pockets in 1.5M–5M population markets. | Either tier-1 cities saturated with national chains, or thin markets under 500K population where demand can't sustain a category. |
| Anchor-tenant density | Cities with high concentration of universities, hospitals, transit hubs within a 1-mile radius of typical storefronts. | Cities where anchor institutions are isolated in suburbs or single-purpose campuses with no street-level spillover. |
Wide variation between cities: The difference between the #1 city (San Antonio at 73.9%) and the #24 city (Philadelphia at 64.7%) is 9.2 percentage points. This 0.2-point variation between the #1 and #2 cities is below average for the category, suggesting that Boutiques are particularly responsive to local market conditions.
National average: Across all 24 analyzed cities, the average survivability for a Boutique is 69.0%.
Why Top-Ranked Cities Outperform
The top-ranked cities share several characteristics that favor Boutiques:
- Strong survivability signals: San Antonio leads with a 74% average survivability score for Boutiques — significantly above the national average for this business category.
- Competition density: The top cities show favorable competitor-to-opportunity ratios for Boutiques, meaning lower saturation and higher odds of capturing an underserved customer base.
- Geographic distribution: The top cities span multiple U.S. regions, giving franchise operators or multi-location owners diverse market options without concentrating risk.
- Foot traffic infrastructure: High-scoring cities combine transit access, walkable commercial corridors, and anchor tenants that drive consistent daily traffic past storefronts.
StreetSpring uses AI to predict business survivability across U.S. neighborhoods — trusted by real estate professionals and entrepreneurs nationwide. We incorporate data from thousands of neighborhoods and hundreds of thousands of individual businesses. Every score is produced by our in-house models, continuously refined against real-world business outcomes.
Visual Data
Related Resources
City-specific guides: For detailed neighborhood-level analysis, explore our city guides:
- Business Survivability Rankings: San Antonio
- Business Survivability Rankings: Dallas
- Business Survivability Rankings: Portland
- Business Survivability Rankings: St Louis
- Business Survivability Rankings: Charlotte
National guides:
- National Neighborhood Survivability Rankings for Boutiques
- Neighborhood Survivability Rankings: San Antonio
What's the update cadence for this ranking?
Rankings are updated quarterly. The current data reflects StreetSpring's 2026 analysis, with the next full dataset refresh scheduled for Q3 2026. As market conditions shift across major metros, individual city scores can move meaningfully between updates — particularly for Boutiques, where local competition density and consumer spending patterns respond quickly to new entrants and neighborhood change. For the most current score at any specific address, use StreetSpring's live survivability tool rather than the static ranking above.
What about cities outside the top 10 — can Boutiques thrive there?
Yes — our top 10 ranking reflects cities with the strongest average conditions, but lower-ranked metros can still contain exceptional individual neighborhoods. Many operators successfully open Boutiques in cities that don't appear in our top 10. Boutiques in particular can find strong performance in secondary markets where the right demographic concentration, household income, and limited direct competition within walking distance align — even outside our highest-ranked cities. StreetSpring's neighborhood-level data surfaces these pockets of opportunity in every city we analyze, regardless of where the city as a whole ranks nationally.
What's the best way to evaluate cities for a Boutique?
StreetSpring's Survivability Score tool provides address-level predictions for Boutiques across all 24 metros we track. For this category specifically, the tool surfaces competition density, consumer spending index for Boutiques, and commercial vacancy rates — the factors that most consistently predict whether a Boutique will still be operating after two years. You can check any specific address before signing a lease and compare multiple neighborhoods side by side to identify the highest-survivability site within your target city.
Try the Survivability Score tool →
Which metro tops the Boutique survivability ranking?
San Antonio ranks as the #1 city in the US for Boutiques survivability in StreetSpring's 2026 analysis, with an average score of 74%. This means that across well-selected neighborhoods in San Antonio, a Boutique has approximately a 74% chance of still operating after two years — above the national average for this category. Dallas ranks second, followed by Portland. The full ranking reflects data across 24 major US metro areas — see the complete list above for all scores and neighborhood-level links.
Last reviewed: May 7, 2026 by Bobby Koons, Founder & CEO, StreetSpring
Technical note: Aggregated national survivability rankings across all 24 metros are available in machine-readable format for research and integration purposes.
StreetSpring recalculates survivability using the latest competitive, demographic, and walkability data, so the live score may differ from the static ranges shown here.
Methodology: City rankings aggregate neighborhood-level Survivability Scores (max, average, and min) across all analyzed neighborhoods in each metro area. Rankings reflect average conditions but do not account for variation within cities. Coverage includes 24 major US metropolitan areas: San Antonio, Dallas, Portland, St Louis, Charlotte, Orlando, Tampa Bay, Phoenix, Atlanta, San Francisco, San Diego, Los Angeles, Baltimore, Minneapolis, Houston, Denver, Washington DC, Detroit, Boston, Seattle, Chicago, New York City, Miami, Philadelphia.