City Survivability Rankings for Women's Clothing Store
StreetSpring's 2026 analysis ranks the top cities for Women's Clothing Stores across the US by Survivability Scores. See which cities offer the best chances for a Women's Clothing Store to succeed.
Quick Summary
- Survivability Score: the projected chance a business type lasts two or more years at a specific address
- Best, Typical and Worst: Best is the average chance of lasting two or more years for the better of two addresses picked at random in the city, in a smaller space; Typical is the average address; Worst is the same for the worse of two, in a larger space
- The highest-ranked city for Women's Clothing Store is Houston: 84.6% Best, 76.9% Typical
- 9 of 24 analyzed US metros average above 70% for Women's Clothing Store survivability at a typical address
- The lowest-ranked city is Portland at 70.6% Best, 63.5% Typical
- National average chance of lasting two or more years for Women's Clothing Store at a typical address: 68.9%
- Data reflects 2026 StreetSpring survivability analysis across 24 US metro areas · Full methodology →
Last reviewed: November 2026 by Robert Koons, Founder & CEO, StreetSpring · Data as of: November 2026 · Dataset version 2026.11.04
Why this list differs from other "best cities for a women's clothing store" lists. This ranking answers one question: on Best in each metro, what is the projected chance a women's clothing store is still operating two or more years after it opens. It is built from 570,000+ historical business outcomes and the location factors around each scored address. It does not rank cities by how much they like women's clothing stores, by downtown foot traffic, by cost of living, by population growth, or by how many women's clothing stores already trade there. Lists built on those things will name different cities, and they are answering a different question. If you want to know where the concept is fashionable, read those. If you want to know where a lease is most likely to still be paying for itself in two years, this is the ranking for that.
Table of Contents
- Summary
- Top Cities for Women's Clothing Stores
- Key Insights
- What Makes These Cities Stand Out?
- Related Resources
- How current is this ranking?
- Can a Women's Clothing Store succeed in cities not ranked in the top 10?
- What tools can help me choose the right city for a Women's Clothing Store?
- Which US city has the best survivability for Women's Clothing Stores?
Summary
According to StreetSpring's 2026 nationwide analysis, Houston ranks as the #1 city for opening a Women's Clothing Store in the United States, with 84.6% Best. Following close behind are Charlotte with 79.0% Best, and Phoenix with 78.7% Best. Women's Clothing Stores sit at a national average of 68.9% survivability across our 24-city analysis, with Houston leading the field by a meaningful margin. Remember that a city's average score smooths over wide variation: your exact neighborhood could significantly outperform the city average. Survivability rankings evolve as neighborhoods change; always verify with the most recent StreetSpring dataset before signing a lease.
Best, Typical and Worst for each metro are in the ranking table. See our full methodology →
Best-to-worst Women's Clothing Store survivability within individual metros: Houston, Charlotte, Philadelphia, New York City and Portland. Each box spans the middle of that metro's range; whiskers are its best and worst locations (2026).
All 24 Cities Ranked for Women's Clothing Stores
Based on StreetSpring's analysis of 24 major metropolitan areas, these cities offer the strongest prospects for Women's Clothing Stores:
| Rank | Metro | Metro area | Best | Typical | Worst |
|---|---|---|---|---|---|
| 1 | Houston | Houston-Pasadena-The Woodlands, TX | 84.6% | 76.9% | 71.7% |
| 2 | Charlotte | Charlotte-Concord-Gastonia, NC-SC | 79.0% | 72.8% | 66.7% |
| 3 | Phoenix | Phoenix-Mesa-Chandler, AZ | 78.7% | 72.4% | 66.2% |
| 4 | Atlanta | Atlanta-Sandy Springs-Roswell, GA | 78.4% | 72.0% | 65.7% |
| 5 | Dallas | Dallas-Fort Worth-Arlington, TX | 78.3% | 71.8% | 65.3% |
| 6 | Orlando | Orlando-Kissimmee-Sanford, FL | 78.0% | 71.4% | 64.7% |
| 7 | San Antonio | San Antonio-New Braunfels, TX | 78.0% | 71.4% | 64.8% |
| 8 | Denver | Denver-Aurora-Centennial, CO | 78.0% | 71.1% | 64.3% |
| 9 | Minneapolis | Minneapolis-St. Paul-Bloomington, MN-WI | 77.0% | 70.6% | 64.3% |
| 10 | Seattle | Seattle-Tacoma-Bellevue, WA | 76.6% | 69.7% | 62.9% |
| 11 | Los Angeles | Los Angeles-Long Beach-Anaheim, CA | 76.1% | 68.9% | 61.8% |
| 12 | St. Louis | St. Louis, MO-IL | 75.9% | 69.4% | 62.9% |
| 13 | Philadelphia | Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 75.8% | 68.9% | 62.1% |
| 14 | Washington DC | Washington-Arlington-Alexandria, DC-VA-MD-WV | 75.2% | 67.7% | 60.2% |
| 15 | Chicago | Chicago-Naperville-Elgin, IL-IN | 75.0% | 67.4% | 59.8% |
| 16 | San Diego | San Diego-Chula Vista-Carlsbad, CA | 74.9% | 68.1% | 61.3% |
| 17 | Baltimore | Baltimore-Columbia-Towson, MD | 74.5% | 67.4% | 60.4% |
| 18 | Miami | Miami-Fort Lauderdale-West Palm Beach, FL | 74.3% | 66.6% | 59.0% |
| 19 | San Francisco | San Francisco-Oakland-Fremont, CA | 73.9% | 66.0% | 58.1% |
| 20 | Detroit | Detroit-Warren-Dearborn, MI | 73.6% | 67.2% | 60.8% |
| 21 | Tampa Bay | Tampa-St. Petersburg-Clearwater, FL | 72.4% | 65.6% | 58.9% |
| 22 | Boston | Boston-Cambridge-Newton, MA-NH | 71.7% | 64.7% | 57.7% |
| 23 | New York City | New York-Newark-Jersey City, NY-NJ | 70.8% | 63.2% | 55.7% |
| 24 | Portland | Portland-Vancouver-Hillsboro, OR-WA | 70.6% | 63.5% | 56.5% |
Best and Worst are the average results for the better and the worse of two addresses picked at random in the metro: a weighted average of every scored location in which the best locations count the most for Best and the weakest count the most for Worst. Typical is the average address. Best is shown for a smaller space (half the standard size) and Worst for a larger one (half again as large), at the metro's median asking rent, using the same rent rule as our tool; Typical is at the market rent.
1. Houston Metro: Houston-Pasadena-The Woodlands, TX
- Best: 84.6%
- Typical: 76.9%
- Worst: 71.7%
2. Charlotte Metro: Charlotte-Concord-Gastonia, NC-SC
- Best: 79.0%
- Typical: 72.8%
- Worst: 66.7%
3. Phoenix Metro: Phoenix-Mesa-Chandler, AZ
- Best: 78.7%
- Typical: 72.4%
- Worst: 66.2%
4. Atlanta Metro: Atlanta-Sandy Springs-Roswell, GA
- Best: 78.4%
- Typical: 72.0%
- Worst: 65.7%
5. Dallas Metro: Dallas-Fort Worth-Arlington, TX
- Best: 78.3%
- Typical: 71.8%
- Worst: 65.3%
6. Orlando Metro: Orlando-Kissimmee-Sanford, FL
- Best: 78.0%
- Typical: 71.4%
- Worst: 64.7%
7. San Antonio Metro: San Antonio-New Braunfels, TX
- Best: 78.0%
- Typical: 71.4%
- Worst: 64.8%
8. Denver Metro: Denver-Aurora-Centennial, CO
- Best: 78.0%
- Typical: 71.1%
- Worst: 64.3%
9. Minneapolis Metro: Minneapolis-St. Paul-Bloomington, MN-WI
- Best: 77.0%
- Typical: 70.6%
- Worst: 64.3%
10. Seattle Metro: Seattle-Tacoma-Bellevue, WA
- Best: 76.6%
- Typical: 69.7%
- Worst: 62.9%
11. Los Angeles Metro: Los Angeles-Long Beach-Anaheim, CA
- Best: 76.1%
- Typical: 68.9%
- Worst: 61.8%
12. St. Louis Metro: St. Louis, MO-IL
- Best: 75.9%
- Typical: 69.4%
- Worst: 62.9%
13. Philadelphia Metro: Philadelphia-Camden-Wilmington, PA-NJ-DE-MD
- Best: 75.8%
- Typical: 68.9%
- Worst: 62.1%
14. Washington DC Metro: Washington-Arlington-Alexandria, DC-VA-MD-WV
- Best: 75.2%
- Typical: 67.7%
- Worst: 60.2%
15. Chicago Metro: Chicago-Naperville-Elgin, IL-IN
- Best: 75.0%
- Typical: 67.4%
- Worst: 59.8%
16. San Diego Metro: San Diego-Chula Vista-Carlsbad, CA
- Best: 74.9%
- Typical: 68.1%
- Worst: 61.3%
17. Baltimore Metro: Baltimore-Columbia-Towson, MD
- Best: 74.5%
- Typical: 67.4%
- Worst: 60.4%
18. Miami Metro: Miami-Fort Lauderdale-West Palm Beach, FL
- Best: 74.3%
- Typical: 66.6%
- Worst: 59.0%
19. San Francisco Metro: San Francisco-Oakland-Fremont, CA
- Best: 73.9%
- Typical: 66.0%
- Worst: 58.1%
20. Detroit Metro: Detroit-Warren-Dearborn, MI
- Best: 73.6%
- Typical: 67.2%
- Worst: 60.8%
21. Tampa Bay Metro: Tampa-St. Petersburg-Clearwater, FL
- Best: 72.4%
- Typical: 65.6%
- Worst: 58.9%
22. Boston Metro: Boston-Cambridge-Newton, MA-NH
- Best: 71.7%
- Typical: 64.7%
- Worst: 57.7%
23. New York City Metro: New York-Newark-Jersey City, NY-NJ
- Best: 70.8%
- Typical: 63.2%
- Worst: 55.7%
24. Portland Metro: Portland-Vancouver-Hillsboro, OR-WA
- Best: 70.6%
- Typical: 63.5%
- Worst: 56.5%
Key Insights
Wide variation between cities: The difference between the #1 city (Houston at 84.6%) and the #24 city (Portland at 70.6%) is 14.02 percentage points. The 5.6 percentage-point spread at the top signals that Women's Clothing Stores performance is highly sensitive to city-level factors: competition density and local spending both play significant roles.
National average: Across all 24 analyzed cities, the average survivability for a Women's Clothing Store is 68.9%.
What Makes These Cities Stand Out?
The top-ranked cities share several characteristics that favor Women's Clothing Stores:
- Strong survivability signals: Houston leads with a 77% average chance of lasting two or more years for Women's Clothing Stores: significantly above the national average for this business category.
- Competition density: The top cities show favorable competitor-to-opportunity ratios for Women's Clothing Stores, meaning lower saturation and higher odds of capturing an underserved customer base.
- Low market saturation: Top cities for Women's Clothing Stores have fewer direct competitors per square mile than lower-ranked metros, leaving meaningful whitespace for well-positioned new entrants.
- Consumer demand signals: StreetSpring's data captures competitor review velocity, spending patterns, and demographic fit, all pointing toward sustained demand for Women's Clothing Stores in these markets.
Powered by advanced AI, StreetSpring predicts how businesses will perform in neighborhoods across the country. The analysis behind these rankings spans millions of data points across competition, spending, and mobility. StreetSpring's predictions leverage proprietary datasets covering competition, spending, and mobility.
Related Resources
City-specific guides: For detailed neighborhood-level analysis, explore our city guides:
- Business Survivability Rankings: Houston
- Business Survivability Rankings: Charlotte
- Business Survivability Rankings: Phoenix
- Business Survivability Rankings: Atlanta
- Business Survivability Rankings: Dallas
National guides:
How current is this ranking?
The figures on this page come from StreetSpring dataset version 2026.11.04, released November 4, 2026. As market conditions shift across major metros, individual city scores can move meaningfully between updates: particularly for Women's Clothing Stores, 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.
Can a Women's Clothing Store succeed in cities not ranked in the top 10?
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 Women's Clothing Stores in cities that don't appear in our top 10. Women's Clothing Stores 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 tools can help me choose the right city for a Women's Clothing Store?
StreetSpring's Survivability Score tool provides address-level predictions for Women's Clothing Stores across all 24 metros we track. For this category specifically, the model reads competition density, the consumer spending index for Women's Clothing Stores, and Census neighborhood characteristics such as the housing vacancy rate, and turns them into the projected chance that a Women's Clothing Store lasts two or more years at a given address. 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 US city has the best survivability for Women's Clothing Stores?
Houston ranks as the #1 city in the US for Women's Clothing Stores survivability in StreetSpring's 2026 analysis, with an average 77% chance of lasting two or more years. This means that across well-selected neighborhoods in Houston, a Women's Clothing Store has approximately a 77% chance of still operating after two years, above the national average for this category. Charlotte ranks second, followed by Phoenix. 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: November 2026 by Robert 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: Each metro's figures pool the scored locations in its published neighborhoods. Metros are ranked the way the national data file ranks them, on the chance of lasting two or more years on Best; the typical-address figure is shown alongside. Coverage includes 24 major US metropolitan areas: Houston, Charlotte, Phoenix, Atlanta, Dallas, Orlando, San Antonio, Denver, Minneapolis, Seattle, Los Angeles, St. Louis, Philadelphia, Washington DC, Chicago, San Diego, Baltimore, Miami, San Francisco, Detroit, Tampa Bay, Boston, New York City, Portland. StreetSpring scores 500+ business types: 153 base business types, most of them at 5 price points, which is 569 type-and-price combinations you can choose in the tool.