National Neighborhood Survivability Rankings for Clothing Store
StreetSpring's 2026 nationwide analysis ranks the top neighborhoods across all major US cities for Clothing Stores. See which neighborhoods offer the highest Survivability Scores.
Floris (Washington DC) ranks #1 nationally for Clothing Store survivability in 2026, with a 83% chance of success for new entrants. The top 25 neighborhoods nationwide span 10 different cities, demonstrating that exceptional opportunities for Clothing Stores exist across diverse markets. The best survivability data for any individual location is always StreetSpring's most recent live analysis, which reflects the current competitive landscape at your exact address.
To understand the methodology behind these rankings, see our detailed guide: Survivability Score: How We Calculate It & Why It Matters.
Reviewed: May 12, 2026 by Bobby Koons, StreetSpring founder
Quick Summary
- #1 Neighborhood: Floris, Washington DC — 83% survivability for Clothing Store
- Neighborhoods analyzed: 8583 across 24 major US cities
- National average survivability: 68.6% for Clothing Stores
- Top-25 average: 82.0% — 13.4% above national average
- Data current as of: 2026 · Full methodology →
Table of Contents
- How neighborhoods compare nationwide
- Top 25 neighborhoods in the US
- Geographic patterns
- How to use this ranking
- Related resources
- Frequently asked questions
How do neighborhoods compare across the United States for Clothing Stores?
Analyzing 8583 neighborhoods across 24 major US cities, StreetSpring's 2026 data shows that the best neighborhoods for Clothing Stores significantly outperform average locations, with the top 25 neighborhoods nationwide averaging 82.0% survivability compared to the national neighborhood average of 68.6%.
This 13.4% advantage illustrates how critical neighborhood selection is — choosing a top-tier neighborhood versus an average one can significantly increase your long-term survival chances.
For Clothing Stores specifically, survivability is driven primarily by competitive density within the immediate trade area and the alignment between local consumer spending patterns and the category's typical revenue profile. The 13.4% gap between top-ranked neighborhoods and the national average for Clothing Stores reflects meaningful variation in how competitive these markets are across different neighborhoods — a stronger signal than is typical for many business categories. StreetSpring uses custom-built, proprietary algorithms to produce these predictions.
Importantly, top-performing neighborhoods aren't concentrated in just a few cities. The top 25 neighborhoods represent 10 different cities. This means entrepreneurs focused on Clothing Stores can find exceptional opportunities across the United States, not just in traditionally strong markets.
Nothing influences a business's future more than its location.
What are the best neighborhoods in the United States to open a Clothing Store?
| Signal | Top-quartile neighborhood pattern | Bottom-quartile neighborhood pattern |
|---|---|---|
| Subtype-specific density saturation | Neighborhoods with the subtype below the optimal density curve — room for a new entrant without cannibalizing demand. | Neighborhoods at or past the saturation point for the subtype, where new entrants face zero-sum competition. |
| Anchor-venue spillover | Neighborhoods within 0.25 miles of a major anchor (transit hub, university gate, hospital main entrance, concert venue). | Neighborhoods where the nearest anchor is past walking distance — no spillover demand. |
| Walk Score + foot-traffic alignment | Neighborhoods where Walk Score (90+) matches actual measured pedestrian volume — not just street-grid promise. | High Walk Score scores driven by transit density but with sparse street-level retail engagement. |
Why these neighborhoods rank highest
Survivability range for top, middle, and last-ranked neighborhoods. Box = best-to-challenging range; white line = average. Floris, Washington DC leads at 83% in 2026. Full methodology →
The top 25 neighborhoods nationwide for Clothing Stores are:
| # | Neighborhood | City | Avg Survival | Tier | Best Locations | Challenging Locations |
|---|---|---|---|---|---|---|
| 1 | Floris | Washington DC | 83.0% | Great | 85.4% | 80.5% |
| 2 | Stephens | Washington DC | 82.9% | Great | 85.3% | 80.5% |
| 3 | Anderson Island | Seattle | 82.8% | Great | 85.3% | 80.4% |
| 4 | Hybla Valley | Washington DC | 82.7% | Great | 85.1% | 80.3% |
| 5 | Dunn Loring | Washington DC | 82.6% | Great | 85.1% | 80.2% |
| 6 | Hayfield | Washington DC | 82.5% | Great | 85.0% | 80.1% |
| 7 | Shenandoah Shores | Washington DC | 82.4% | Great | 84.8% | 80.0% |
| 8 | West Manor | Atlanta | 82.3% | Great | 84.8% | 79.9% |
| 9 | Encino Bluff | San Antonio | 82.3% | Great | 84.8% | 79.9% |
| 10 | Prospect Lefferts Gardens | New York City | 82.1% | Great | 84.5% | 79.6% |
| 11 | Casa Blanca | Phoenix | 81.9% | Great | 84.4% | 79.5% |
| 12 | Bedford Stuyvesant | New York City | 81.9% | Great | 84.4% | 79.5% |
| 13 | Garment District | New York City | 81.9% | Great | 84.3% | 79.4% |
| 14 | Murray Hill | New York City | 81.8% | Great | 84.3% | 79.4% |
| 15 | Princeton-Silver Star | Orlando | 81.7% | Great | 84.2% | 79.3% |
| 16 | Lake Kathryn | Orlando | 81.7% | Great | 84.1% | 79.3% |
| 17 | Swede Heaven | Seattle | 81.6% | Great | 84.1% | 79.2% |
| 18 | Ocean Hill | New York City | 81.6% | Great | 84.0% | 79.2% |
| 19 | St.Johns | Portland | 81.5% | Great | 84.0% | 79.1% |
| 20 | Pattison | Houston | 81.5% | Great | 84.0% | 79.1% |
| 21 | Centreville | Washington DC | 81.5% | Great | 84.0% | 79.1% |
| 22 | Ship Bottom | New York City | 81.4% | Great | 83.9% | 79.0% |
| 23 | Aguanga | Los Angeles | 81.3% | Great | 83.8% | 78.9% |
| 24 | Sully Square | Washington DC | 81.2% | Great | 83.7% | 78.8% |
| 25 | Green Valley | Los Angeles | 81.2% | Great | 83.7% | 78.8% |
Individual site conditions — including storefront visibility, access, and hyper-local competition — can push a location well above or below its neighborhood average.
For a full explanation of how survivability scores and ranges are calculated, see Survivability Score: How We Calculate It & Why It Matters.
What patterns emerge from the top-performing neighborhoods nationwide?
City Concentration
The top 25 neighborhoods span 10 different cities, with Washington DC claiming 8 of the top spots (32%).
Breakdown of top 25 neighborhoods by city:
- Washington DC: 8 neighborhoods (32% of top 25) — View city guide
- New York City: 6 neighborhoods (24% of top 25) — View city guide
- Seattle: 2 neighborhoods (8% of top 25) — View city guide
- Orlando: 2 neighborhoods (8% of top 25) — View city guide
- Los Angeles: 2 neighborhoods (8% of top 25) — View city guide
- Atlanta: 1 neighborhood (4% of top 25) — View city guide
- San Antonio: 1 neighborhood (4% of top 25) — View city guide
- Phoenix: 1 neighborhood (4% of top 25) — View city guide
- Portland: 1 neighborhood (4% of top 25) — View city guide
- Houston: 1 neighborhood (4% of top 25) — View city guide
This distribution has practical implications for Clothing Stores operators: cities with multiple neighborhoods in the top 25 offer more site options within a single market, reducing relocation or expansion cost. Cities with a single top-25 neighborhood require more precise site selection — the advantage is concentrated in one area rather than spread across the metro.
The income-and-density pattern
The relatively even distribution of top neighborhoods across 10 cities is consistent with a category where consumer demand is broadly distributed rather than concentrated in specific metros. For Clothing Stores operators, this means strong site opportunities exist in multiple markets — the key variable is neighborhood-level competitive conditions rather than city-level market size.
How to apply this ranking when choosing where to open a Clothing Store
While nationwide neighborhood rankings identify standout markets, address-level analysis reveals even greater variation. StreetSpring's survivability scores are built on a 30-factor competitive analysis framework, giving landlords, tenants, and agents a precision instrument for site selection. Even within top-ranked neighborhoods, specific block selection can vary survivability by 10–20 percentage points.
For the most accurate assessment:
- Consider neighborhoods in the top 25 as strong starting points
- Examine city-specific guides for additional neighborhood options in your target markets
- Use StreetSpring's address-level tool to evaluate specific storefronts within these neighborhoods
- Factor in your budget, operational requirements, and target demographics
Each neighborhood has detailed analysis available through its city guide, providing block-by-block survivability data for Clothing Stores.
See also: Best Cities for Clothing Store — our city-level comparison ranks which metros offer the strongest overall conditions for Clothing Stores.
Related Resources
Explore top cities represented in these neighborhoods:
- Phoenix: Best businesses and neighborhoods
- Los Angeles: Best businesses and neighborhoods
- Washington DC: Best businesses and neighborhoods
- San Antonio: Best businesses and neighborhoods
- New York City: Best businesses and neighborhoods
National city rankings: Best cities for Clothing Stores
Essential resources:
- How StreetSpring calculates Survivability Scores
- Site selection for landlords
- AI tools for tenant representatives
- StreetSpring vs competitors
Frequently Asked Questions
How often do neighborhood rankings change?
StreetSpring updates rankings quarterly as new data on business openings, closures, and market conditions becomes available. The current analysis reflects 2026 data. Because competitive conditions shift as new businesses enter or exit a neighborhood, the specific rankings for any given business type can shift between updates — which is why we recommend verifying specific addresses in StreetSpring's live tool before making a final site selection decision.
What makes Floris in Washington DC the best neighborhood for Clothing Stores?
Floris in Washington DC ranks #1 for Clothing Stores with 83% survivability. This reflects favorable competitive dynamics — fewer direct competitors relative to available consumer spending — strong demographic alignment with Clothing Store customers, and local spending patterns that sustain this business category. StreetSpring's model weights these factors across all analyzed neighborhoods nationwide.
How does StreetSpring calculate survivability for Clothing Stores specifically?
StreetSpring's model calculates survivability for Clothing Stores by analyzing the competitive density of existing Clothing Stores within each distance band around the address, the projected consumer spending on Clothing Stores in that location, mobility patterns that determine likely customer flow, and 80+ additional factors. The resulting survivability score reflects the estimated probability of a new Clothing Store surviving 2+ years at that specific address.
What type of neighborhood is best for opening a Clothing Store?
The best neighborhoods for Clothing Stores share three characteristics: manageable competitive density (few existing direct competitors within the primary trade area), strong consumer spending on this category, and demographic alignment with the typical Clothing Store customer base. In StreetSpring's 2026 data, the top-ranked neighborhoods for Clothing Stores combine these factors in a way that produces survivability scores well above the national average of 68.6%. Neighborhoods with dense existing competition or low category spending tend to score significantly lower, regardless of overall foot traffic or prestige.
Where can I download the underlying data?
The full national survivability dataset is available as a free download: https://streetspring.com/resources/data/national-survivability-scores-2026.csv. The CSV includes all business subtypes and neighborhoods covered in this analysis, licensed under CC BY 4.0.
Is the competitive environment for Clothing Stores stronger in some markets than others?
Yes — competition density for Clothing Stores varies significantly by market. In the top-ranked neighborhoods, StreetSpring's model identifies favorable competitive dynamics as a primary driver of high survivability scores. In more saturated markets, even strong consumer spending may not overcome competitive pressure. StreetSpring's address-level tool shows the exact competitive environment at any specific location.
How can I compare specific addresses within these top neighborhoods?
StreetSpring's address-level tool allows you to input any commercial address and see predicted survivability for Clothing Stores. Even within the top-ranked neighborhoods, survivability varies meaningfully by block — address-level scoring is the most precise way to evaluate a specific site.
Which cities appear most frequently in the top 25 neighborhoods for Clothing Stores?
The cities most represented in the top 25 for Clothing Stores are Washington DC (8), New York City (6), Seattle (2). This concentration reflects the relative strength of consumer demand and competitive conditions for Clothing Stores in these markets. City-specific guides provide deeper analysis of each city's neighborhoods.
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 foot traffic data, so the live score may differ from the static ranges shown here.
Methodology: Neighborhood rankings are based on average Survivability Scores for Clothing Stores across all analyzed locations within each neighborhood. Rankings represent neighborhood-level conditions but do not account for block-by-block variation. Coverage includes 8583 neighborhoods across 24 major US cities.