Tim Hortons Restaurant
U.S. · 1,639 locations
Tim Hortons operates 1,639 coffee and breakfast restaurant locations across the United States, with its densest footprint concentrated in upstate New York, Ohio, Michigan, and other markets along the Great Lakes and Canadian border.
More about this list
Owned by Restaurant Brands International (which also owns Burger King and Popeyes), Tim Hortons is Canada's largest quick-service chain and has expanded aggressively into US breakfast markets. This dataset provides the complete list of US Tim Hortons restaurant locations with verified addresses, store numbers, phone numbers, and GPS coordinates sourced directly from the Tim Hortons (RBI) Sanity CMS backend. Commercial real estate analysts use it to track cross-border QSR expansion, food service distributors map delivery density, and competitive coffee chains benchmark against the Tim Hortons US footprint. Updated weekly.
The file has all 1,639 locations across 27 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 | phone | store number | geo precision | county | county fips | county note | address quality | zip4 | country | latitude | longitude |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Tim Hortons Glendale | 9400 W MARYLAND AVE | Glendale | AZ | 85305 | (888) 601-1616 | 915646 | source | Maricopa County | 04013 | complete | 3114 | US | 33.531467 | -112.260912 | |
| Tim Hortons Alpharetta | 1050 Ridgeland Pkwy | Alpharetta | GA | 30004 | 920760 | zip_centroid | Fulton County | 13121 | ZIP 30004 spans 3 counties; assigned to the county holding 68% of its land area | complete | US | 34.145635 | -84.291881 | ||
| Tim Hortons ATTLEBORO | 237 WASHINGTON ST | Attleboro | MA | 02703 | (401) 841-0157 | 911098 | address | Bristol County | 25005 | complete | 5557 | US | 41.923429 | -71.357183 | |
| Tim Hortons Durham | 2305 Ellis Rd | Durham | NC | 27703 | 922654 | address | Durham County | 37063 | ZIP 27703 spans 2 counties; assigned to the county holding 99% of its land area | complete | US | 35.939457 | -78.854216 | ||
| Tim Hortons Allentown | 701 HAMILTON ST | Allentown | PA | 18101 | (484) 273-4508 | 915807 | source | Lehigh County | 42077 | complete | 2407 | US | 40.602837 | -75.472889 |
{}What's in each row
| Field | What it is | Rows filled |
|---|---|---|
| name | Store name and number | 100% |
| store | Store number | 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% |
| phone | Store phone number | 78% |
| latitude | GPS latitude coordinate | 100% |
| longitude | GPS longitude coordinate | 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 | 18% |
| address_ | Whether the street address is complete, missing a house number, or a PO box | 100% |
| zip4 | Zip4 | 70% |
Rows filled is measured on every row of the delivered file.
✓Where this data comes from
This dataset is compiled from Tim Hortons'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 Tim Hortons Restaurant Locations and give it this page: it can open https://locationlists.com/find?dataset=tim-hortons-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 New York, the state with the most: https://locationlists.com/find?dataset=tim-hortons-stores&state=NY
- Within 25 miles of Buffalo, NY, the busiest area: https://locationlists.com/find?dataset=tim-hortons-stores&near=Buffalo+NY&radius=25
- Within a 30-minute drive of Buffalo, NY: https://locationlists.com/find?dataset=tim-hortons-stores&near=Buffalo+NY&drive=30
- Every Breakfast & Diner list combined, within 25 miles of Buffalo, NY: https://locationlists.com/find?category=breakfast-diner&near=Buffalo+NY&radius=25
- Each one's nearest IHOP Restaurant Locations, in New York, with miles: https://locationlists.com/find?dataset=tim-hortons-stores&state=NY&relate=nearest&k=1&b.dataset=ihop-stores&b.state=NY
- The whole list: add a city, state, ZIP code or distance:
https://locationlists.com/find?dataset=tim-hortons-stores - In plain words: "Tim Hortons Restaurant Locations in New York": https://locationlists.com/find?q=Tim+Hortons+Restaurant+Locations+in+New+York
- In plain words: "Tim Hortons Restaurant Locations within 25 miles of Buffalo, NY": https://locationlists.com/find?q=Tim+Hortons+Restaurant+Locations+within+25+miles+of+Buffalo%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 Tim Hortons Restaurant Locations list.Your assistant will walk you through setup and show you the price before you pay.
For developers
At 1,639 records this dataset is not sold by the row — buy the file. Without a connector, open https://locationlists.com/find?dataset=tim-hortons-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 Tim Hortons locations are in this dataset?
This dataset contains 1,639 verified Tim Hortons restaurant locations in the United States, updated weekly. Canadian locations are excluded.
What fields are included in the Tim Hortons CSV?
Each row includes the restaurant name, store number, full street address, city, state, ZIP code, phone number, and latitude/longitude GPS coordinates.
Which states have the most Tim Hortons locations?
New York, Ohio, Michigan, and Pennsylvania anchor the Tim Hortons US footprint, reflecting the brand's cross-border expansion strategy. New England, Indiana, and parts of the Midwest also have meaningful presence.
How is this data sourced?
Directly from Tim Hortons' backend content API (Sanity CMS), filtered to production restaurants in the USA. This is the same data source that powers their official restaurant locator.