Super Wash
U.S. · 136 locations
136 Super Wash sites in 15 states, from Super Wash's own site. Ohio has the most (36), then Illinois (32) and Indiana (31).
More about this list
The ownership column says which sites Super Wash runs itself (68) and which are franchises (67). Super Wash publishes a phone for 56% of sites. Every row has the street address, the site's page, the site's phone on 56% of rows and the company's own map point. Open sites only: a site still under construction is not in the file.
Need just some of them? Ask in your own words.
●Where the rows are
≡Sample Data Preview
| name | address | city | state | zip | phone | website | brand | parent company | ownership | geo precision | county | county fips | county note | address quality | country | latitude | longitude | source id | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Super Wash – Craig | 1635 W Victory Way | Craig | CO | 81625 | https://www.superwash.com/our-locations | Super Wash | Super Wash | Franchise | source | Moffat County | 08081 | ZIP 81625 spans 2 counties; assigned to the county holding 100% of its land area | complete | US | 40.5146034 | -107.5655914 | d11c9e1f-c82c-4902-9c8c-13a8837cd6d4 | ||
| Super Wash – Alexandria | 207 N Park Ave. | Alexandria | IN | 46001 | (815) 772-2111 | https://www.superwash.com/our-locations | Super Wash | Super Wash | Corporate | info@superwash.com | source | Madison County | 18095 | ZIP 46001 spans 2 counties; assigned to the county holding 97% of its land area | complete | US | 40.264261 | -85.66794879999999 | 9f74094d-d7f5-46dc-a1a7-d6f4960fc510 |
| Super Wash – Bridgman | 9572 Red Arrow Highway | Bridgman | MI | 49106 | (815) 772-2111 | https://www.superwash.com/our-locations | Super Wash | Super Wash | Corporate | info@superwash.com | source | Berrien County | 26021 | complete | US | 41.945654 | -86.56188709999999 | 50502284-f4c0-4027-a1da-a41ed13402b5 | |
| Super Wash – Pahrump (Dahlia) | 60 S. Dahlia Street | Pahrump | NV | 89048 | (775) 751-2789 | https://www.superwash.com/our-locations | Super Wash | Super Wash | Franchise | source | Nye County | 32023 | complete | US | 36.2187088 | -115.9962045 | 380c2a64-aef4-4892-8eb9-96f9eb8ff63c | ||
| Super Wash – Pierre | 1100 N Garfield | Pierre | SD | 57501 | https://www.superwash.com/our-locations | Super Wash | Super Wash | Franchise | source | Hughes County | 46065 | ZIP 57501 spans 2 counties; assigned to the county holding 58% of its land area | complete | US | 44.3752526 | -100.3163904 | 980a3b76-8e4e-42b5-9ecb-9e4b5895b209 |
{}What's in each row
| Field | What it is | Rows filled |
|---|---|---|
| brand | The name the site trades under | 100% |
| parent | The company that owns the site | 100% |
| name | Site name | 100% |
| address | Street address | 100% |
| city | City | 100% |
| state | Two-letter state code | 100% |
| zip | ZIP code | 100% |
| country | Country code (US) | 100% |
| phone | Phone number | 56% |
| website | The site's page on the company's own site | 100% |
| latitude | GPS latitude | 100% |
| longitude | GPS longitude | 100% |
| source | The company's own id for the site | 100% |
| ownership | Corporate for a site Super Wash runs, Franchise for a franchised site | 99% |
| The site's email, where Super Wash lists one | 54% | |
| geo_ | How the coordinates were arrived at: the company's own map point (source), a geocode of the street address, or the ZIP's centre | 100% |
| county | County name | 100% |
| county_ | Five-digit county FIPS code | 100% |
| county_ | Set when the ZIP code spans more than one county | 44% |
| address_ | complete, no house number, po box, missing city or zip or missing | 100% |
Rows filled is measured on every row of the delivered file.
✓Where this data comes from
This dataset is compiled from Super Wash's own public car wash locator, the system behind the “find a car wash” page on their website.
October 2, 2026
Snapshot built
20 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 Super Wash Locations and give it this page: it can open https://locationlists.com/find?dataset=super-wash-locations 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 Ohio, the state with the most: https://locationlists.com/find?dataset=super-wash-locations&state=OH
- Within 25 miles of Chicago, IL, the busiest area: https://locationlists.com/find?dataset=super-wash-locations&near=Chicago+IL&radius=25
- Within a 30-minute drive of Chicago, IL: https://locationlists.com/find?dataset=super-wash-locations&near=Chicago+IL&drive=30
- Every Car Washes & EV Charging list combined, within 25 miles of Avilla, IN: https://locationlists.com/find?category=auto-services&near=Avilla+IN&radius=25
- Each one's nearest Express Wash Concepts Car Wash Locations, in Ohio, with miles: https://locationlists.com/find?dataset=super-wash-locations&state=OH&relate=nearest&k=1&b.dataset=express-wash-concepts-car-wash-locations&b.state=OH
- The whole list: add a city, state, ZIP code or distance:
https://locationlists.com/find?dataset=super-wash-locations - In plain words: "Super Wash Locations in Ohio": https://locationlists.com/find?q=Super+Wash+Locations+in+Ohio
- In plain words: "Super Wash Locations within 25 miles of Chicago, IL": https://locationlists.com/find?q=Super+Wash+Locations+within+25+miles+of+Chicago%2C+IL
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 Super Wash Locations list.Your assistant will walk you through setup and show you the price before you pay.
For developers
At 136 records this dataset is not sold by the row — buy the file. Without a connector, open https://locationlists.com/find?dataset=super-wash-locations. 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
Which sites are franchises?
67 of the 136 are franchise sites and 68 are run by Super Wash itself; one is not labelled. The ownership column says which.
Are sites that are not open yet included?
No. Only open car wash sites are in the file. Sites Super Wash shows as coming soon or under construction are left out, so the count is what is operating today.
How current is it?
Snapshot built on October 2, 2026. It is a one-time snapshot and is not rebuilt on a schedule.