Wawa
1,792 mapped US locations. Median trade area within 3 miles: 54,114 residents and a $87,994 median household income.
Compared with the typical US retail site, a Wawa trade area holds more big box, pharmacy and education — and less coffee, apparel and entertainment.
Who lives around it
| Measure | 25th | Median | 75th | vs typical site |
|---|---|---|---|---|
| Population within 1 mi | 3,747 | 6,695 | 10,944 | |
| Population within 3 mi | 30,004 | 54,114 | 85,614 | |
| Population within 5 mi | 75,306 | 131,877 | 215,839 | |
| Households within 3 mi | 11,390 | 20,653 | 32,866 | |
| Median household income (3 mi) | $70,086 | $87,994 | $109,266 | |
| Median age (3 mi) | 38.0 | 40.3 | 43.2 | |
| Owner-occupied homes (3 mi) | 59.1% | 68.3% | 76.7% | |
| Family households (3 mi) | 60.7% | 66.2% | 70.9% | |
| Residents with a bachelor's degree (3 mi)ACS B15003_022E — bachelor's as the highest degree attained, so it excludes graduate degrees. | 4,667 | 8,800 | 13,511 |
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. | 71 m | 92 m | 128 m | |
| Distance to a primary road | 51 m | 90 m | 1.4 km | |
| Distance to a motorway | 71 m | 426 m | 1.5 km | |
| Traffic signals within 1 mi | 10 | 18 | 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. | 285 m | 737 m | 1.6 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. | 5 | 9 | 17 | |
| 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. | 0.0037 | 0.0058 | 0.0089 |
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 |
|---|---|---|---|
| Big box | 9 | 2.6% | |
| Pharmacy | 6 | 1.8% | |
| Education | 20 | 7.0% | |
| Grocery | 7 | 2.4% | |
| Banks | 14 | 4.3% | |
| Beauty | 13 | 4.3% | |
| Bars | 3 | 1.1% | |
| Fitness | 7 | 2.4% | |
| Other retail | 61 | 19.9% | |
| Restaurants | 37 | 11.6% | |
| Auto | 34 | 11.1% | |
| Fast food | 28 | 9.0% | |
| Home improvement | 3 | 0.9% | |
| Convenience | 9 | 3.2% | |
| Medical | 10 | 3.4% | |
| Professional services | 5 | 1.5% | |
| Lodging | 6 | 2.0% | |
| Entertainment | 2 | 0.6% | |
| Apparel | 5 | 1.4% | |
| Coffee | 5 | 1.6% |
Where its locations are
Top metro areas
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 533 |
| New York-Newark-Jersey City, NY-NJ | 210 |
| Washington-Arlington-Alexandria, DC-VA-MD-WV | 112 |
| Orlando-Kissimmee-Sanford, FL | 105 |
| Tampa-St. Petersburg-Clearwater, FL | 91 |
| Virginia Beach-Chesapeake-Norfolk, VA-NC | 82 |
| Richmond, VA | 72 |
| Baltimore-Columbia-Towson, MD | 66 |
Top states
| NJ | 466 |
| PA | 426 |
| FL | 395 |
| VA | 246 |
| MD | 134 |
| DE | 88 |
| IN | 10 |
| OH | 7 |
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 Wawa site is computed with Wawa itself excluded, so a chain never counts its own stores.