Starbucks
11,409 mapped US locations. Median trade area within 3 miles: 73,393 residents and a $88,207 median household income.
Compared with the typical US retail site, a Starbucks trade area holds more bars, apparel and beauty — and less big box, auto and home improvement.
Who lives around it
| Measure | 25th | Median | 75th | vs typical site |
|---|---|---|---|---|
| Population within 1 mi | 5,127 | 9,698 | 16,941 | |
| Population within 3 mi | 39,581 | 73,393 | 124,594 | |
| Population within 5 mi | 87,013 | 174,072 | 301,619 | |
| Households within 3 mi | 15,163 | 27,840 | 48,435 | |
| Median household income (3 mi) | $68,340 | $88,207 | $112,789 | |
| Median age (3 mi) | 36.0 | 38.6 | 41.3 | |
| Owner-occupied homes (3 mi) | 47.6% | 59.4% | 69.7% | |
| Family households (3 mi) | 54.3% | 63.1% | 70.7% | |
| Residents with a bachelor's degree (3 mi)ACS B15003_022E — bachelor's as the highest degree attained, so it excludes graduate degrees. | 5,715 | 12,047 | 21,924 |
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. | 62 m | 116 m | 196 m | |
| Distance to a primary road | 49 m | 218 m | 1.4 km | |
| Distance to a motorway | 213 m | 634 m | 1.8 km | |
| Traffic signals within 1 mi | 14 | 28 | 55 |
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. | 259 m | 693 m | 1.8 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. | 3 | 9 | 25 | |
| 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. | 0.0049 | 0.0074 | 0.011 |
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 | 6 | 1.3% | |
| Apparel | 12 | 2.2% | |
| Beauty | 23 | 4.6% | |
| Fitness | 13 | 2.5% | |
| Entertainment | 4 | 0.8% | |
| Restaurants | 61 | 12.5% | |
| Professional services | 10 | 1.8% | |
| Medical | 21 | 3.8% | |
| Other retail | 104 | 20.2% | |
| Lodging | 12 | 2.4% | |
| Banks | 20 | 3.9% | |
| Fast food | 48 | 9.3% | |
| Grocery | 11 | 2.0% | |
| Convenience | 17 | 3.3% | |
| Pharmacy | 8 | 1.5% | |
| Education | 30 | 5.7% | |
| Coffee | 9 | 2.0% | |
| Home improvement | 5 | 0.9% | |
| Auto | 51 | 9.9% | |
| Big box | 9 | 1.6% |
Where its locations are
Top metro areas
| Los Angeles-Long Beach-Anaheim, CA | 682 |
| New York-Newark-Jersey City, NY-NJ | 561 |
| Chicago-Naperville-Elgin, IL-IN | 407 |
| Seattle-Tacoma-Bellevue, WA | 327 |
| Washington-Arlington-Alexandria, DC-VA-MD-WV | 316 |
| Dallas-Fort Worth-Arlington, TX | 301 |
| Phoenix-Mesa-Chandler, AZ | 297 |
| San Francisco-Oakland-Fremont, CA | 282 |
Top states
| CA | 2,171 |
| TX | 928 |
| FL | 631 |
| NY | 536 |
| WA | 526 |
| IL | 483 |
| AZ | 391 |
| VA | 380 |
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 Starbucks site is computed with Starbucks itself excluded, so a chain never counts its own stores.