IHOP Restaurant
U.S. · 1,641 locations
IHOP (International House of Pancakes) operates 1,631 full-service breakfast and pancake restaurant locations across the United States.
More about this list
A subsidiary of Dine Brands Global alongside Applebee's, IHOP serves breakfast 24 hours a day at many of its restaurants and is one of the two dominant chains in the US family-diner breakfast category. This dataset provides the complete list of US IHOP locations with verified addresses, GPS coordinates, and official location page URLs sourced from IHOP's restaurant locator. Commercial real estate analysts use it to map family-dining distribution, food service and supply distributors benchmark route density against it, and franchise consultants study IHOP's market penetration as part of broader breakfast-category analysis. Updated weekly.
The file has all 1,641 locations across 50 states in one download. Building the same list by searching one area at a time tends to miss places, and a missed place looks like a gap in coverage that is not really there.
Need just some of them? Ask in your own words.
●Where the rows are
≡Sample Data Preview
| name | address | city | state | zip | dealer id | url | geo precision | county | county fips | county note | address quality | zip4 | country | latitude | longitude |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ANCHORAGE AK | 501 E Tudor Rd | Anchorage | AK | 99503 | 1763 | https://restaurants.ihop.com/ak/anchorage/breakfast-501-e-tudor-rd-1763 | source | Anchorage Municipality | 02020 | ZIP 99503 spans 2 counties; assigned to the county holding 16% of its land area | complete | US | 61.1814846 | -149.8750358 | |
| Acworth, GA | 1129 Hwy 92 | Acworth | GA | 30102 | 3762 | https://restaurants.ihop.com/ga/acworth/breakfast-1129-hwy-92-3762 | source | Cherokee County | 13057 | ZIP 30102 spans 3 counties; assigned to the county holding 50% of its land area | complete | US | 34.0816758 | -84.6552644 | |
| ABERDEEN MD | 980 Hospitality Way | Aberdeen | MD | 21001 | 2135 | https://restaurants.ihop.com/md/aberdeen/breakfast-980-hospitality-way-2135 | source | Harford County | 24025 | complete | US | 39.5250186 | -76.1874304 | ||
| BEDFORD NH | 224 South River Rd | Bedford | NH | 03110 | 3328 | https://restaurants.ihop.com/nh/bedford/breakfast-224-south-river-rd-3328 | source | Hillsborough County | 33011 | complete | US | 42.9422319 | -71.4729633 | ||
| EAST PROVIDENCE RI | 75 Highland Ave | East Providence | RI | 02914 | 3557 | https://restaurants.ihop.com/ri/eastprovidence/breakfast-75-highland-ave-3557 | source | Providence County | 44007 | complete | US | 41.8052509 | -71.3412104 |
{}What's in each row
| Field | What it is | Rows filled |
|---|---|---|
| name | Store name and number | 100% |
| dealer | Dealer id | 100% |
| address | Street address | 100% |
| city | City name | 100% |
| state | Two-letter state code | 100% |
| zip | 5-digit ZIP code | 100% |
| country | Country code (US) | 100% |
| latitude | GPS latitude coordinate | 100% |
| longitude | GPS longitude coordinate | 100% |
| url | Url | 100% |
| geo_ | How exact the map point is: the source's own point, the street address, or the ZIP code's centre | 100% |
| county | County the location is in | 100% |
| county_ | Five-digit federal code of that county | 100% |
| county_ | How the county was found, where it was not given by the source | 23% |
| address_ | Whether the street address is complete, missing a house number, or a PO box | 100% |
| zip4 | Zip4 | 2% |
Rows filled is measured on every row of the delivered file.
✓Where this data comes from
This dataset is compiled from IHOP's own public restaurant locator, the system behind the “find a restaurant” page on their website.
October 11, 2026
File built · Rebuilt weekly on an automatic schedule.
16 fields
Columns in the file
Fill measured
On every row of the delivered file
How we build and date every file: methodology.
Using ChatGPT, Claude or an API?
No setup needed. Ask ChatGPT or Claude your question about the IHOP Restaurant Locations and give it this page: it can open https://locationlists.com/find?dataset=ihop-stores with the filters you need and show you the count and price.
Using ChatGPT or Claude? Tell it to answer from locationlists.com/find — no account, no connector.
How assistants ask
No connector needed. Any AI assistant can answer from this site with a web link, no connector, no account: open https://locationlists.com/find with the question as query parameters.
If a question needs filtering, distance, drive time, combining lists or a price, open a /find link: either put the question itself in q=, or build the structured link. The answer does not need an API, a connector or an account.
Simplest, the question itself: https://locationlists.com/find?q=<the question in plain words>
Or set the parts yourself: https://locationlists.com/find?dataset=<slug>&state=<ST>&city=<city>&county=<county>&zip=<zip>&near=<place or zip>&radius=<miles>&drive=<minutes>&where=<column>:<op>:<value>&total=<rows>
Leave out what the question does not need. Use radius for straight-line miles or drive for minutes of driving (5 to 60), not both; near can name several places separated by | to reach from any of them. To ask about several lists at once, use datasets with two or more names, or category with a kind of business. To compare two lists, add relate=nearest and the other list with b. in front of its parameters. To count by area, use areas=county (or zip, state, metro). To keep only places whose county, ZIP code, metro area or state meets a Census figure, add area_where (for example county:population>1000000); with areas, per=100000 gives counts per 100,000 residents.
Links an assistant can open, each showing how many rows match, a few preview rows and the price for just that part:
- Only Texas, the state with the most: https://locationlists.com/find?dataset=ihop-stores&state=TX
- Within 25 miles of New York, NY, the busiest area: https://locationlists.com/find?dataset=ihop-stores&near=New+York+NY&radius=25
- Within a 30-minute drive of New York, NY: https://locationlists.com/find?dataset=ihop-stores&near=New+York+NY&drive=30
- Every Breakfast & Diner list combined, within 25 miles of Edgewater, NJ: https://locationlists.com/find?category=breakfast-diner&near=Edgewater+NJ&radius=25
- Each one's nearest Tim Hortons Restaurant Locations, in Texas, with miles: https://locationlists.com/find?dataset=ihop-stores&state=TX&relate=nearest&k=1&b.dataset=tim-hortons-stores&b.state=TX
- The whole list: add a city, state, ZIP code or distance:
https://locationlists.com/find?dataset=ihop-stores - In plain words: "IHOP Restaurant Locations in Texas": https://locationlists.com/find?q=IHOP+Restaurant+Locations+in+Texas
- In plain words: "IHOP Restaurant Locations within 25 miles of New York, NY": https://locationlists.com/find?q=IHOP+Restaurant+Locations+within+25+miles+of+New+York%2C+NY
Optional: connect for repeat use or wallet payments:
Read https://locationlists.com/skill.md and follow the instructions to connect LocationLists. Then show me the IHOP Restaurant Locations list.Your assistant will walk you through setup and show you the price before you pay.
For developers
At 1,641 records this dataset is not sold by the row — buy the file. Without a connector, open https://locationlists.com/find?dataset=ihop-stores. An agent connected to https://locationlists.com/mcp can still search it, read a free sample file of up to 10 rows and buy the whole file itself. How agent purchasing works
?Frequently Asked Questions
How many IHOP locations are in this dataset?
This dataset contains 1,641 verified IHOP restaurant locations across the United States, updated weekly to reflect openings and closures.
What fields are included in the IHOP CSV?
Each row includes the restaurant name, restaurant ID, full street address, city, state, ZIP code, latitude/longitude GPS coordinates, and the official IHOP location page URL. Delivered as a standard CSV file ready for Excel, Google Sheets, or CRM import.
Which states have the most IHOP locations?
California leads IHOP's US footprint by a wide margin, followed by Texas, Florida, New York, and Illinois. IHOP has a more nationally distributed footprint than regionally-concentrated diner chains like Waffle House.
How does IHOP compare to Denny's?
IHOP (1,641 locations) and Denny's (1,255 locations) are the two largest US family-dining breakfast chains. IHOP has more locations nationally, while Denny's is stronger in the Western US. Both datasets are available on LocationLists for direct footprint comparison.
How often is the IHOP location data refreshed?
File built on October 11, 2026. Rebuilt weekly on an automatic schedule. The date on this page is the date of the file you would download.