Midas
U.S. · 945 locations

Midas operates 945 locations across the United States.

More about this list

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

945Locations
47States
16Data Fields
September 20, 2026File built

The file has all 945 locations across 47 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 Midas 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

midas-stores.csvscroll →UTF-8
nameaddresscitystatezipphoneurlgeo precisioncountycounty fipsaddress qualitycounty notezip4countrylatitudelongitude
Midas436 Green Springs HwyHomewoodAL35209(205) 208-3764http://www.midas.com/sourceJefferson County01073complete4910US33.463044-86.820045
Midas224 N Main StAlpharettaGA30009(678) 948-6989https://www.midas.com/atlanta/store.aspx?shopnum=3120&dmanum=52001sourceFulton County13121complete3625US34.081557-84.295461
Midas204 S Philadelphia BlvdAberdeenMD21001(410) 297-0060https://www.midas.com/baltimore/store.aspx?shopnum=4147&dmanum=72sourceHarford County24025complete3307US39.506637-76.165832
Midas79 Fort Eddy RdConcordNH03301(603) 421-6262https://www.midas.com/store/nh/concord/79-fort-eddy-road-03301?shopnum=4699sourceMerrimack County33013complete7405US43.214499-71.531955
Midas525 Reservoir AveCranstonRI02910(401) 400-3838http://www.midas.com/sourceProvidence County44007complete1727US41.784688-71.436677
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 number89%
latitudeGPS latitude coordinate100%
longitudeGPS longitude coordinate100%
urlUrl100%
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 source19%
zip4Zip486%

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 Midas'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 Midas Locations and give it this page: it can open https://locationlists.com/find?dataset=midas-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 Midas Locations list.

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

For developers

At 945 records this dataset is not sold by the row — buy the file. Without a connector, open https://locationlists.com/find?dataset=midas-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 Midas's distribution model unique compared to its peers?

Midas operates 945 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 Midas 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 945 locations.

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

The latitude/longitude data lets you see exactly where Midas 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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