Jet's Pizza
U.S. · 438 locations

Jet's Pizza operates 438 locations across the United States.

More about this list

This dataset provides the complete list of Jet's Pizza store locations with verified addresses, phone numbers, and GPS coordinates sourced from official Jet's Pizza systems.

438Locations
26States
16Data Fields
September 20, 2026File built

Need just some of them? Ask in your own words.

●Where the rows are

Map of where the Jet's Pizza 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

jets-pizza-stores.csvscroll →UTF-8
nameaddresscitystatezipphoneurlgeo precisioncountycounty fipsaddress qualitycounty notezip4countrylatitudelongitude
Jet's Pizza1079 Balch RdHuntsvilleAL35758(256) 489-8992sourceMadison County01089complete8582US34.747651-86.766371
Jet's Pizza59 W Golf RdArlington HeightsIL60005(847) 593-5387https://www.jetspizza.com/stores/illinois/arlington-heights/59-w-golf-rd/sourceCook County17031complete3905US42.050356-87.983464
Jet's Pizza14940 Manchester RdBallwinMO63011(636) 220-8929http://jetspizza.com/sourceSt. Louis County29189complete4623US38.592568-90.545099
Jet's Pizza5401 Sheridan DrBuffaloNY14221(716) 817-0092https://www.jetspizza.com/stores/new-york/williamsville/5401-sheridan-dr/sourceErie County36029complete3609US42.977729-78.734084
Jet's Pizza3534 Murfreesboro PikeAntiochTN37013(615) 641-5333http://jetspizza.com/sourceDavidson County47037complete2583US36.052698-86.614612
Five sample rows; the file you buy has all 16 columns.

{}What's in each row

FieldWhat it isRows filled
nameStore name and number100%
addressStreet address100%
cityCity name100%
stateTwo-letter state code100%
zip5-digit ZIP code100%
countryCountry code (US)100%
phoneStore phone number100%
latitudeGPS latitude coordinate100%
longitudeGPS longitude coordinate100%
urlUrl99%
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%
county_noteHow the county was found, where it was not given by the source26%
zip4Zip495%

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

✓Where this data comes from

This dataset is compiled from public geographic place data covering Jet's Pizza's store network across the US, deduplicated by 50-meter distance to one record per physical store.

September 20, 2026

File built

16 fields

Columns in the file

Fill measured

On every row of the delivered file

How we build and date every file: methodology.

Location data aggregated from public geographic sources including © Overture Maps Foundation contributors.

Using ChatGPT, Claude or an API?

No setup needed. Ask ChatGPT or Claude your question about the Jet's Pizza Locations and give it this page: it can open https://locationlists.com/find?dataset=jets-pizza-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 Jet's Pizza Locations list.

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

For developers

At 438 records this dataset is not sold by the row — buy the file. Without a connector, open https://locationlists.com/find?dataset=jets-pizza-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

What makes Jet's Pizza's distribution model unique compared to its peers?

Jet's Pizza operates 438 store locations across the US. For a brand-by-brand competitive breakdown — overlap analysis, territory density, white space mapping — our consulting team can build a custom analysis. Contact us for details.

I'm building a B2B prospect list targeting Jet's Pizza stores. How is this data structured for CRM import?

Each row includes name, full address, phone, GPS coordinates, and website URL where available. Ready for Salesforce, HubSpot, or Excel. Our territory optimization service can take this further and assign balanced territories across all 438 locations.

How does Jet's Pizza's geographic concentration affect market entry for a new complementary product?

The latitude/longitude data lets you see exactly where Jet's Pizza is dense vs thin. Our site-selection service maps this against demographic overlays, competitor footprints, and drive-time radii to recommend market entry sequencing.

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