Subway
12,865 mapped US locations. Median trade area within 3 miles: 38,773 residents and a $72,044 median household income.
Compared with the typical US retail site, a Subway trade area holds more convenience, auto and education — and less apparel, beauty and fast food.
Subway is a franchise. Its investment range, fees and FDD details live on FranchiseLens: Subway franchise economics →
Inspections. How Subway's Florida stores run against their county baseline, on InspectLens: How Subway's Florida stores run →
Who lives around it
| Measure | 25th | Median | 75th | vs typical site |
|---|---|---|---|---|
| Population within 1 mi | 1,748 | 5,670 | 12,441 | |
| Population within 3 mi | 9,695 | 38,773 | 87,844 | |
| Population within 5 mi | 18,208 | 83,861 | 210,231 | |
| Households within 3 mi | 3,744 | 14,905 | 33,553 | |
| Median household income (3 mi) | $56,479 | $72,044 | $93,821 | |
| Median age (3 mi) | 36.1 | 39.0 | 42.1 | |
| Owner-occupied homes (3 mi) | 53.0% | 63.4% | 73.4% | |
| Family households (3 mi) | 56.4% | 63.3% | 70.3% | |
| Residents with a bachelor's degree (3 mi)ACS B15003_022E — bachelor's as the highest degree attained, so it excludes graduate degrees. | 997 | 5,004 | 13,375 |
How you get there
| Measure | 25th | Median | 75th | vs typical site |
|---|---|---|---|---|
| Distance to a traffic signalSignalised intersections are the cheapest available proxy for an arterial with turning access. | 86 m | 158 m | 314 m | |
| Distance to a primary road | 54 m | 276 m | 1.9 km | |
| Distance to a motorway | 194 m | 710 m | 2.3 km | |
| Traffic signals within 1 mi | 4 | 13 | 31 |
What else is there
| Measure | 25th | Median | 75th | vs typical site |
|---|---|---|---|---|
| Distance to the nearest business of the same kindAny business in the chain's own category - an independent counts the same as a national brand. Reads 50 km when there is nothing of the kind within 50 km. | 106 m | 190 m | 551 m | |
| Businesses of the same kind within 3 miA grocer's competitors are other grocers, a gym's are other gyms. The chain's own stores are excluded. | 6 | 23 | 52 | |
| Mapped POIs per resident (3 mi)A coverage flag, not a market signal: a low value can mean an empty trade area or a thinly mapped one. | 0.0048 | 0.0075 | 0.0114 |
The retail mix around its sites
Median count of each category within 3 miles, and that category's share of all mapped retail in the ring. The share is what makes this a fingerprint rather than a density reading — it is what separates a Walmart trade area from a Starbucks one.
| Category | Median within 3 mi | Share of mix | vs typical site |
|---|---|---|---|
| Convenience | 10 | 3.9% | |
| Auto | 31 | 12.2% | |
| Education | 17 | 6.5% | |
| Bars | 3 | 1.1% | |
| Grocery | 6 | 2.1% | |
| Coffee | 5 | 2.2% | |
| Banks | 11 | 3.9% | |
| Big box | 5 | 1.9% | |
| Professional services | 5 | 1.7% | |
| Other retail | 51 | 18.9% | |
| Restaurants | 28 | 11.0% | |
| Entertainment | 2 | 0.7% | |
| Home improvement | 3 | 0.9% | |
| Lodging | 6 | 2.3% | |
| Fitness | 6 | 2.1% | |
| Medical | 9 | 3.4% | |
| Pharmacy | 4 | 1.5% | |
| Fast food | 24 | 8.2% | |
| Beauty | 9 | 3.5% | |
| Apparel | 4 | 1.4% |
Where its locations are
Top metro areas
| Chicago-Naperville-Elgin, IL-IN | 412 |
| Los Angeles-Long Beach-Anaheim, CA | 381 |
| New York-Newark-Jersey City, NY-NJ | 302 |
| Washington-Arlington-Alexandria, DC-VA-MD-WV | 273 |
| Seattle-Tacoma-Bellevue, WA | 233 |
| Houston-Pasadena-The Woodlands, TX | 201 |
| Dallas-Fort Worth-Arlington, TX | 198 |
| Phoenix-Mesa-Chandler, AZ | 188 |
Top states
| CA | 1,289 |
| TX | 898 |
| IL | 622 |
| OH | 588 |
| FL | 587 |
| MI | 523 |
| NY | 468 |
| VA | 460 |
What the “vs typical site” column means. It is this chain's median divided by the median across all 173,178 tracked retail sites. 1.00× is exactly typical. It describes where the chain is today; it is not a prediction and not a judgement about any individual location.
Every count around a Subway site is computed with Subway itself excluded, so a chain never counts its own stores.