IHOP
1,490 mapped US locations. Median trade area within 3 miles: 66,147 residents and a $77,552 median household income.
Compared with the typical US retail site, a IHOP trade area holds more lodging, fast food and big box — and less bars and fitness.
IHOP is a franchise. Its investment range, fees and FDD details live on FranchiseLens: IHOP franchise economics →
Inspections. How IHOP's Florida stores run against their county baseline, on InspectLens: How IHOP's Florida stores run →
Who lives around it
| Measure | 25th | Median | 75th | vs typical site |
|---|---|---|---|---|
| Population within 1 mi | 4,668 | 8,545 | 14,061 | |
| Population within 3 mi | 37,919 | 66,147 | 108,237 | |
| Population within 5 mi | 79,354 | 150,411 | 263,889 | |
| Households within 3 mi | 14,574 | 25,203 | 40,253 | |
| Median household income (3 mi) | $62,428 | $77,552 | $96,692 | |
| Median age (3 mi) | 35.7 | 38.1 | 40.7 | |
| Owner-occupied homes (3 mi) | 50.6% | 59.3% | 67.7% | |
| Family households (3 mi) | 57.1% | 63.7% | 70.1% | |
| Residents with a bachelor's degree (3 mi)ACS B15003_022E — bachelor's as the highest degree attained, so it excludes graduate degrees. | 4,827 | 9,273 | 16,847 |
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. | 78 m | 127 m | 211 m | |
| Distance to a primary road | 48 m | 167 m | 1.2 km | |
| Distance to a motorway | 95 m | 345 m | 1.1 km | |
| Traffic signals within 1 mi | 16 | 28 | 45 |
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. | 129 m | 175 m | 277 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. | 26 | 49 | 86 | |
| 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. | 0.0045 | 0.0071 | 0.0104 |
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 |
|---|---|---|---|
| Lodging | 12 | 2.8% | |
| Fast food | 44 | 10.2% | |
| Big box | 10 | 2.1% | |
| Apparel | 9 | 1.9% | |
| Home improvement | 5 | 1.0% | |
| Grocery | 9 | 2.2% | |
| Pharmacy | 7 | 1.6% | |
| Medical | 16 | 3.7% | |
| Convenience | 15 | 3.5% | |
| Other retail | 84 | 19.6% | |
| Entertainment | 3 | 0.7% | |
| Auto | 48 | 11.3% | |
| Coffee | 9 | 2.1% | |
| Beauty | 17 | 4.0% | |
| Restaurants | 49 | 11.2% | |
| Professional services | 7 | 1.7% | |
| Banks | 17 | 3.8% | |
| Education | 27 | 5.9% | |
| Fitness | 10 | 2.1% | |
| Bars | 4 | 1.0% |
Where its locations are
Top metro areas
| Los Angeles-Long Beach-Anaheim, CA | 67 |
| New York-Newark-Jersey City, NY-NJ | 66 |
| Dallas-Fort Worth-Arlington, TX | 59 |
| Atlanta-Sandy Springs-Roswell, GA | 51 |
| Washington-Arlington-Alexandria, DC-VA-MD-WV | 50 |
| Houston-Pasadena-The Woodlands, TX | 40 |
| Miami-Fort Lauderdale-West Palm Beach, FL | 34 |
| Riverside-San Bernardino-Ontario, CA | 32 |
Top states
| CA | 200 |
| TX | 194 |
| FL | 120 |
| GA | 73 |
| VA | 65 |
| MD | 50 |
| NY | 46 |
| NC | 43 |
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 IHOP site is computed with IHOP itself excluded, so a chain never counts its own stores.