US Laundromats & Coin Laundries
U.S. · 24,769 locations

There are 24,769 Laundromats & Coin Laundries in the US as of September 2026. They are in all 50 states, DC and Puerto Rico. California has the most, with 3,356.

24,769 US laundromats and coin laundries with coordinates on every record, a street address on 87% and a phone on 78%.

More about this list

There is no federal, state or municipal register of laundromats anywhere — the industry is almost entirely independent single-site owners with minimal web presence — so this had to be assembled from mapping data and cross-checked between sources, which is exactly why it is worth buying rather than building. At 24,769 it covers roughly 85% of the commonly cited 29,000-site market estimate, and that 29,000 is itself an industry estimate rather than a count, because no one has a register to count from. Nearly 4,000 records are confirmed by two independent sources. Commercial laundry equipment manufacturers and their distributors, payment and card-system vendors, route operators, insurers and the private equity buyers rolling up laundromats all need site-level geography, and this is the most complete picture available.

24,769Locations
52States
22Data Fields
September 14, 2026File built

#Count report

By state

California3,356
New York2,902
Texas1,936
Florida1,391
Pennsylvania1,181
New Jersey1,016
Illinois928
Ohio735
Georgia635
Massachusetts608
Michigan605
North Carolina569
Virginia481
Tennessee427
Wisconsin424
Washington420
Missouri416
Indiana384
Maryland373
Colorado370
Arizona352
Connecticut351
Oklahoma324
Minnesota318
Alabama310
South Carolina310
Oregon291
Louisiana284
Iowa249
Kentucky244
Kansas202
Mississippi201
Arkansas197
New Mexico194
Utah180
New Hampshire159
Nevada147
Maine144
Nebraska129
Idaho128
Rhode Island123
Montana113
West Virginia106
Alaska97
Hawaii78
South Dakota72
Delaware69
Vermont66
Wyoming65
North Dakota50
Puerto Rico37
District of Columbia22

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

●Where the rows are

Map of where the US Laundromats & Coin Laundries 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

laundromat-list.csvscroll →UTF-8
nameaddresscitystatezipphonewebsitebrandis attendedis24 hourhas wash dry foldequipment brandgeo precisioncountycounty fipsaddress qualitycountrylatitudelongitudesourcesource idsource url
Acres Kwik TripAKsourceChugach Census Area02063missingUS61.124386-146.267644openstreetmapway/514570797https://www.openstreetmap.org/way/514570797
Angie's Coin LaundryGAsourceMadison County13195missingUS34.030646-83.315458openstreetmapnode/13264142025https://www.openstreetmap.org/node/13264142025
Brothers Sew & Vac1061 Rockville PikeMDtruesourceMontgomery County24031missing_city_or_zipUS39.071221-77.133109openstreetmapnode/10271900253https://www.openstreetmap.org/node/10271900253
615 Max LaundryNJsourceMercer County34021missingUS40.233872-74.754185openstreetmapnode/7593625186https://www.openstreetmap.org/node/7593625186
Beverly's Home Style LaundrySCfalsesourceCharleston County45019missingUS32.885303-80.067652openstreetmapnode/13144525155https://www.openstreetmap.org/node/13144525155
Five sample rows; the file you buy has all 22 columns.

{}What's in each row

FieldWhat it isRows filled
nameBusiness or facility name100%
brandBrand9%
addressStreet address88%
cityCity87%
stateTwo-letter state code100%
zipZIP code87%
countryCountry code100%
phonePhone number where published78%
websiteWebsite where published54%
latitudeGPS latitude where published100%
longitudeGPS longitude where published100%
isAttendedIs attended15%
is24HourIs24 hour2%
hasWashDryFoldHas wash dry fold4%
equipmentBrandEquipment brand1%
sourceWhich source the record came from100%
sourceIdSource id100%
sourceUrlThe public source this row came from100%
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

Each row names the public source it came from, so any record can be checked against where it was published.

September 14, 2026

File built

22 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 US Laundromats & Coin Laundries and give it this page: it can open https://locationlists.com/find?dataset=laundromat-list 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 US Laundromats & Coin Laundries 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=laundromat-list 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: "laundromat-list" and any filter — it is free, and returns how many rows match and what they cost.
  3. Fetch the rows with query_locations: $0.57 per 100 rows from this dataset. Above 12,385 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 Laundromats & Coin Laundries are there in the US?

There are 24,769 Laundromats & Coin Laundries in the US as of September 2026. They are in all 50 states, DC and Puerto Rico. California has the most, with 3,356.

How can you cover 85% of a market with no registry?

By merging independent mapping sources and reconciling them rather than trusting one. Roughly 3,750 sites appear in two sources independently, which is the best available confirmation. The 29,000 figure everyone quotes is an industry estimate, not a count, so treat both numbers as approximations of a market nobody can enumerate exactly.

Is there a brand or chain column?

Yes, but expect it to be mostly empty — 24,769 of these sites carry no brand at all, because that is the industry. The named ones are small regional groups and franchises like WaveMAX. If you are looking for roll-up targets, the unbranded majority is the point.

Do records say whether a site is attended or open 24 hours?

On about 19% of them, where the underlying source recorded it. We flag it where it exists rather than guessing for the rest.

↔Other dry cleaners & laundry lists