Snap Fitness
239 mapped US locations. Median trade area within 3 miles: 27,205 residents and a $84,034 median household income.
Compared with the typical US retail site, a Snap Fitness trade area holds more bars, professional services and medical — and less lodging, apparel and big box.
Snap Fitness is a franchise. Its investment range, fees and FDD details live on FranchiseLens: Snap Fitness franchise economics →
Who lives around it
| Measure | 25th | Median | 75th | vs typical site |
|---|---|---|---|---|
| Population within 1 mi | 2,757 | 5,456 | 9,334 | |
| Population within 3 mi | 11,389 | 27,205 | 58,750 | |
| Population within 5 mi | 19,993 | 54,665 | 125,472 | |
| Households within 3 mi | 4,415 | 10,208 | 23,667 | |
| Median household income (3 mi) | $63,376 | $84,034 | $102,765 | |
| Median age (3 mi) | 36.1 | 39.5 | 42.1 | |
| Owner-occupied homes (3 mi) | 58.2% | 69.6% | 77.3% | |
| Family households (3 mi) | 57.8% | 63.7% | 71.1% | |
| Residents with a bachelor's degree (3 mi)ACS B15003_022E — bachelor's as the highest degree attained, so it excludes graduate degrees. | 1,221 | 3,772 | 9,852 |
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. | 117 m | 196 m | 318 m | |
| Distance to a primary road | 94 m | 659 m | 2.2 km | |
| Distance to a motorway | 267 m | 1.3 km | 3.1 km | |
| Traffic signals within 1 mi | 4 | 8 | 18 |
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. | 438 m | 957 m | 2.3 km | |
| 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. | 1 | 4 | 12 | |
| 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. | 0.0055 | 0.0083 | 0.0116 |
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 |
|---|---|---|---|
| Bars | 3 | 1.7% | |
| Professional services | 5 | 2.4% | |
| Medical | 8 | 4.4% | |
| Home improvement | 2 | 1.2% | |
| Banks | 9 | 4.5% | |
| Coffee | 5 | 2.5% | |
| Beauty | 8 | 4.5% | |
| Entertainment | 2 | 0.8% | |
| Auto | 26 | 12.7% | |
| Other retail | 42 | 20.2% | |
| Grocery | 4 | 2.2% | |
| Convenience | 7 | 3.5% | |
| Education | 13 | 5.8% | |
| Pharmacy | 3 | 1.5% | |
| Fitness | 4 | 2.1% | |
| Restaurants | 18 | 10.2% | |
| Fast food | 16 | 8.0% | |
| Big box | 3 | 1.6% | |
| Apparel | 2 | 1.4% | |
| Lodging | 4 | 1.8% |
Where its locations are
Top metro areas
| Minneapolis-St. Paul-Bloomington, MN-WI | 21 |
| Portland-Vancouver-Hillsboro, OR-WA | 9 |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 6 |
| Grand Rapids-Wyoming-Kentwood, MI | 6 |
| Milwaukee-Waukesha, WI | 6 |
| Spokane-Spokane Valley, WA | 6 |
| Baton Rouge, LA | 6 |
| Chicago-Naperville-Elgin, IL-IN | 5 |
Top states
| MN | 27 |
| WI | 16 |
| OH | 16 |
| PA | 16 |
| MI | 14 |
| WA | 12 |
| TX | 12 |
| LA | 11 |
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 Snap Fitness site is computed with Snap Fitness itself excluded, so a chain never counts its own stores.