Dunkin' Restaurant
U.S. · 7,791 locations

Dunkin' operates approximately 9,000 coffee and donut restaurant locations across the United States — the largest specialty coffee and baked goods chain by US store count.

More about this list

This dataset contains 7,791 verified Dunkin' restaurant locations with full street addresses, city, state, ZIP, and GPS coordinates. The brand's footprint is heavily concentrated in the Northeast (Massachusetts, New York, New Jersey, Pennsylvania, Connecticut, Rhode Island, New Hampshire, Maine) with major secondary presence in Florida, the Mid-Atlantic, and select metros nationwide. Dunkin' is owned by Inspire Brands. Commercial real estate analysts use it to map the densest coffee-breakfast footprint in the country; food service distributors plan delivery density against it; and competitive coffee chains benchmark their own growth against Dunkin's core Northeast territory.

7,791Locations
41States
13Data Fields
September 14, 2026File built

The file has all 7,791 locations across 41 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

Map of where the Dunkin' Restaurant Locations are
One dot for every ZIP code with at least one location. Ask above for any part of it: a state, a city, a distance.

≡Sample Data Preview

dunkin-stores.csvscroll →UTF-8
nameaddresscitystatezipradar idgeo precisioncountycounty fipsaddress qualitycountrylatitudelongitude
Dunkin' Albertville8191 US Highway 431AlbertvilleAL35950610b19f37e3a4e58a89b6c13sourceMarshall County01095completeUS34.280998-86.220397
Dunkin' Alachua16091 NW US Highway 441AlachuaFL326155aa6c52f5e0a9e82fdbfacb3sourceAlachua County12001completeUS29.802731067900535-82.51637091330356
Dunkin' Abington259 Brockton AveAbingtonMA0235159e22ddba064b45aefe714d4sourcePlymouth County25023completeUS42.10394520948689-70.9555044107666
Dunkin' Bennington15530 Ida StBenningtonNE680076705adb8ac36d544a319c4d2sourceDouglas County31055completeUS41.32166-96.157633
Dunkin' Abington1701 Old York RdAbingtonPA1900159dd3db6a064b45aefe42b37sourceMontgomery County42091completeUS40.13169251819079-75.11551640562998
Five sample rows; the file you buy has all 13 columns.

{}What's in each row

FieldWhat it isRows filled
nameStore name and number100%
radarIdRadar id100%
addressStreet address100%
cityCity name100%
stateTwo-letter state code100%
zip5-digit ZIP code100%
countryCountry code (US)100%
latitudeGPS latitude coordinate100%
longitudeGPS longitude coordinate100%
geo_precisionHow exact the map point is: the source's own point, the street address, or the ZIP code's centre100%
countyCounty the location is in100%
county_fipsFive-digit federal code of that county100%
address_qualityWhether the street address is complete, missing a house number, or a PO box100%

Rows filled is measured on every row of the delivered file.

✓Where this data comes from

This dataset is compiled from Dunkin''s own public restaurant locator, the system behind the “find a restaurant” page on their website.

September 14, 2026

File built

13 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 Dunkin' Restaurant Locations and give it this page: it can open https://locationlists.com/find?dataset=dunkin-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:

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 Dunkin' Restaurant Locations list.

Your assistant will walk you through setup and show you the price before you pay.

For developers

Every step below has a no-connector equivalent: https://locationlists.com/find?dataset=dunkin-stores with the same filters as query parameters.

  1. Connect your agent to https://locationlists.com/mcp (no key, no signup).
  2. Call count_locations with dataset: "dunkin-stores" and any filter — it is free, and returns how many rows match and what they cost.
  3. Fetch the rows with query_locations: $1.01 per 100 rows from this dataset. Above 3,896 rows, buying the whole file is cheaper.

Paid in USDC over x402 — the agent gets an HTTP 402 with the exact price, signs, and retries. Money moves only after rows are delivered, so a failed or empty query costs nothing. Setup for Claude, Cursor and VS Code

?Frequently Asked Questions

How many Dunkin' locations are in this dataset?

This dataset contains 7,791 verified Dunkin' restaurant locations in the United States. That is approximately 87% of Dunkin's total US footprint of roughly 9,000 stores — we continuously densify coverage in under-sampled rural areas.

What fields are included in the Dunkin' CSV?

Each row includes the restaurant name, unique store ID, full street address, city, state, ZIP code, country, and latitude/longitude GPS coordinates. Phone numbers are not included because they are not exposed in the source data.

Which states have the most Dunkin' locations?

Massachusetts is Dunkin's home state and by far the densest — one Dunkin' for every ~5,000 residents. New York, New Jersey, Pennsylvania, Florida, Connecticut, Rhode Island, New Hampshire, and Maine are the other anchors of the Dunkin' footprint.

How does Dunkin' compare to Starbucks?

Dunkin' (~9,000 US locations) and Starbucks (~15,185 US locations) are the two dominant US specialty coffee chains, but with very different geographies — Dunkin' is strongest in the Northeast while Starbucks has a more nationally-distributed footprint. Our Dunkin' dataset gives you the core Northeast breakfast/coffee coverage map.

How is this data sourced?

Directly from the public Radar.io places API used by the Dunkin' store locator, cross-referenced with Radar's reverse geocoding to fill in full street addresses.

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