Chipotle Mexican Grill
U.S. Location Dataset // 4,041
Chipotle Mexican Grill operates one of the largest 100%-company-owned restaurant footprints in the U.S., having famously rejected franchising in favor of corporate control over supply chain, labor, and unit economics — a model that produces industry-leading average unit volumes north of $3 million. This dataset captures 4,041 locations with full geocoordinates, reflecting the chain's aggressive post-2018 expansion under CEO Brian Niccol, who accelerated openings and prioritized the "Chipotlane" digital-pickup format that now accounts for the majority of new builds. Because Chipotle clusters near high-traffic retail anchors and college campuses, its location footprint doubles as a proxy for premium fast-casual site viability. This data is purchased by commercial real estate brokers benchmarking inline pad-site rents, food-service distributors mapping delivery routes against a single-brand corporate account, and private equity analysts modeling whitespace for competing concepts like Cava or Sweetgreen.
●Coverage Map
Chipotle Mexican Grill dealer locations in the USA
Showing 2,021 of 4,041 locations (~50% sample) · Source: LocationLists.com
☆Who uses this data
Sales & Business Development
Territory planning, lead generation, and prospecting for teams selling products or services to stores
Market Research & Competitive Intelligence
Analyzing Chipotle Mexican Grill's geographic footprint, density, and overlap with competitors
Logistics & Supply Chain
Route optimization, delivery planning, and distribution network analysis across 4,041 locations
Real Estate & Site Selection
Co-tenancy analysis, trade area studies, and identifying expansion opportunities near existing stores
✓Data quality & methodology
This dataset is compiled directly from Chipotle Mexican Grill's official store locator system. We query the same data source that powers the “Find a store” page on their website, ensuring the data matches what the brand itself publishes.
Weekly
Refresh frequency
Deduplicated
By name + address + city
Validated
Format checks on all fields
Every record goes through automated quality checks including ZIP code format validation, coordinate bounds verification (US only), phone number standardization, and duplicate detection. Records that fail validation are flagged and excluded from the dataset.
{}Data Fields
≡Sample Data Preview
| name | address | city | state | zip | country | phone | latitude |
|---|---|---|---|---|---|---|---|
| Chipotle Mexican Grill | 8790 Sacramento Dr | Alexandria | VA | 22309 | US | 8263002942 | 38.72073956335224 |
| Chipotle Mexican Grill | 1351 S Providence Center Dr | Cedar City | UT | 84720 | US | 4355724648 | 37.653661 |
| Chipotle Mexican Grill | 106 Northside Dr | Bennington | VT | 05201 | US | 8024745207 | 42.8947893 |
| Chipotle Mexican Grill | 1200 Pulaski Hwy | Bear | DE | 19701 | US | 3025202600 | 39.629349119807905 |
| Chipotle Mexican Grill | 2608 Central Ave SE | Albuquerque | NM | 87106 | US | 5052323550 | 35.08057225150501 |
Chipotle Mexican Grill Locations
4,041 locations · CSV · Updated weekly
?Frequently Asked Questions
Chipotle doesn't franchise — how does that affect the way I should use this dataset compared to a franchised QSR brand?
Because every one of the 4,041 locations is corporate-owned, you're looking at a single decision-maker for vendor pitches, real estate negotiations, and supply contracts. Unlike a McDonald's dataset where 95% of units are independently operated franchisees with local purchasing discretion, Chipotle's footprint maps directly to centralized procurement — making it ideal for food-service suppliers and equipment vendors targeting a single corporate account rather than thousands of individual owners.
I'm a site selector for a competing fast-casual brand like Cava or Sweetgreen. How do I use this data to find whitespace?
Overlay Chipotle's 4,041 locations against your own footprint and census-tract demographics to identify trade areas where Chipotle has validated demand but your brand has no presence — these are your lowest-risk expansion targets. LocationLists can run a custom whitespace analysis that cross-references Chipotle density against population, median household income, and daytime employment to rank candidate markets. This is especially useful because Chipotle's real estate team is widely regarded as best-in-class in fast casual, so their location choices effectively pre-screen viable sites.
How can I distinguish Chipotlane locations from traditional inline stores in this dataset?
The dataset includes the location URL from Chipotle's locator, and many Chipotlane units carry distinct URL slugs or are identifiable by address patterns (pad sites vs. strip-center suites). However, the format type isn't a discrete field. If you need a clean Chipotlane vs. non-Chipotlane segmentation, LocationLists can enrich this dataset through a custom scraping engagement that flags drive-thru format based on supplemental store-page data.
I work for a broadline food distributor and need to plan delivery routes for the Southeast region. Can I filter this data geographically?
Yes — the dataset includes state, city, ZIP, and precise latitude/longitude for all 4,041 locations, so you can filter or cluster by any geography. For route optimization specifically, the geocoordinates let you run traveling-salesman or zone-density analyses in tools like Esri or even Google OR-Tools. States like Texas, California, and Florida each have 300+ Chipotle locations, so regional filtering is essential to avoid overwhelming route plans.
How does Chipotle's 4,041-unit footprint compare to other fast-casual or adjacent chains in the LocationLists catalog?
Chipotle's footprint is roughly 4x the size of most fast-casual competitors but operates in a different competitive frame than the mass-retail brands in our catalog like Target (1,950+) or CVS (9,000+). The more revealing comparison is co-location proximity: Chipotle deliberately sites near Target, Publix, and similar traffic generators. LocationLists can run an overlap radius analysis showing how many Chipotle units sit within 0.25 miles of a Target or Publix — data that's valuable for retail landlords assembling tenant mixes.
We're a private equity group evaluating a regional Mexican fast-casual concept for acquisition. How does this dataset help with diligence?
Map the target company's locations against Chipotle's 4,041 units to quantify competitive exposure — specifically, what percentage of the target's stores have a Chipotle within a 1-mile, 3-mile, and 5-mile radius. High overlap signals margin pressure; low overlap in growing MSAs may indicate defensible whitespace. LocationLists can deliver a custom overlap report with drive-time polygons and demographic overlays, which is exactly the kind of exhibit that strengthens an investment committee memo.